Binge-Eating Disorder: Prevalence, Predictors, and Management in the Primary Care Setting

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Binge-Eating Disorder: Prevalence, Predictors, and Management in the Primary Care Setting

From the Department of Psychology, Eastern Michigan University, Ypsilanti, MI.

 

Abstract

  • Objective: To describe the epidemiology, clinical features, clinical course, medical complications, and treatment of binge-eating disorder (BED).
  • Methods: Review of the literature.
  • Results: BED, the most common eating disorder, is a distinct pattern of binge eating accompanied by a sense of loss of control over eating without inappropriate compensatory behaviors. Because people with BED more commonly seek treatment for the psychological and medical factors that are associated with the disorder, patients’ first point of contact with the medical profession is likely to be the primary care physician (PCP). The PCP’s role includes making efforts to screen for BED symptoms, employing motivational interviewing strategies to enhance likelihood of following through with treatment, providing psychoeducational information about eating and weight control, monitoring eating, weight, and related medical problems at follow-up visits, and making referrals to behavioral health specialists who can deliver empirically supported treatments for BED.
  • Conclusion: Proper screening and referral in the primary care setting can optimize the likelihood that  patients obtain empirically supported treatment.

 

 

Binge-eating disorder (BED), first described by Stunkard in the 1950s, is a distinct pattern of binge eating, accompanied by a sense of loss of control over eating without inappropriate compensatory behaviors [1]. It was not until the publication of DSM-IV-TR [2] that BED received systematic study as a separate diagnostic category, when it was included in the appendix Criteria Sets and Axes Provided for Further Study. Until recently, individuals reporting binge eating without recurrent compensatory behavior were diagnosed with an eating disorder not otherwise specified. More recently, the American Psychiatric Association approved BED for inclusion in DSM-5 as its own category of eating disorder [3]. The diagnostic criteria for BED are delineated in Table 1. In contrast to BED, bulimia nervosa is a longstanding diagnostic category that refers to recurrent episodes of binge eating, accompanied by a sense of loss of control over eating and recurrent inappropriate compensatory behaviors to prevent weight gain (eg, self-induced vomiting, misuse of laxatives or diuretics, fasting)

BED is the most common eating disorder, but it is one for which many do not seek treatment directly. Rather, those struggling with BED more commonly seek treatment for the psychological and medical factors that are strongly associated with the disorder. As will be reviewed below, these factors include poor social adjustment, functional impairment, psychological distress and psychiatric comorbidity, and myriad medical sequelae due to obesity and weight cycling. As such, the BED patient’s point of first contact with the medical profession is most likely to be with the primary care physician, who has several roles in the treatment of BED. There is a limited evidence base for pharmacological treatment of BED, with some medications yielding short-term reductions in binge eating, but none with strong support for long-term efficacy [4]. However, with the recent FDA approval of lisdexamfetamine dimesylate for the treatment of moderate to severe BED, this picture may change. Nonetheless, pharmacologic interventions for comorbid medical conditions will fall solidly in the bailiwick of the primary care physician. In addition, the primary care physician’s role includes making efforts to screen for BED symptoms; employing motivational interviewing strategies to enhance likelihood of following through with treatment; providing psychoeducational information about eating and weight control; monitoring eating, weight, and related medical problems at follow-up visits; and making referrals to behavioral health specialists who can deliver empirically supported treatments for BED. Finally, because BED is typically associated with weight gain over time [5], the primary care physician is encouraged to reinforce the clinical significance of weight maintenance as opposed to necessarily promoting a goal of weight loss. The rationale for this primary care approach is reviewed below, in consideration of the scientific literature and a case study highlighting common clinical features.

Case Study

Initial Presentation

A 35-year-old Caucasian woman schedules an appointment for her annual physical examination with her primary care physician. She reports generally good health but complains of low mood, joint pain, and difficulties managing her weight. Her blood pressure is managed with 100 mg/day of metoprolol. The only other medication she takes is birth control (ethinyl estradiol 20 mcg).

Physical Examination

During physical examination, it is determined that the patient is 5'6" and weighs 286 lb, with a body mass index (BMI) of 46.2 kg/m2, placing her in WHO obesity class III. The patient’s blood pressure is 130/85 mm Hg (medically managed), and her heart rate is 83 bpm. The patient states that she has been experiencing episodes of low mood off and on most of her life; she recently ended a relationship, which has exacerbated her symptoms. The physician states that the patient has gained a significant amount of weight since her last physical examination. The patient reports that she quit smoking 6 months ago and has since gained approximately 30 lb; she has considered smoking again to manage her weight.

• What are the diagnostic criteria for BED?

BED diagnostic criteria (Table 1) have been closely examined for their validity and clinical utility, and several have been the subject of intense debate in the BED literature. The first BED criterion, recurrent episodes of binge eating, refers to 3 essential components: amount of food, time period, and a subjective experience of loss of control. The majority of debate regarding this criterion revolves around the requirement for consumption of a “large amount of food.” There are 2 primary arguments against this criterion. First, it is inherently subjective and requires the person making the diagnosis to distinguish between normative food intake and excessive food intake [6]. There is also some debate as to whether or not individuals with BED actually consume large amounts of food when they binge. However, research supports that those with BED may consume over 1000 kcal during binge episodes, far more than those without BED who are asked to binge eat in the lab [7,8].

Nonetheless, a distinction has been made between objective binge-eating episodes (OBE) and subjective binge eating episodes (SBE) [9]. OBEs are binge eating episodes that meet the full criteria including a large amount of food and a subjective loss of control. SBEs, in contrast, are binge eating episodes that include a subjective loss of control but not a large quantity of food. If consumption of a large quantity of food is essential to the underlying pathology of BED, one would expect that OBEs and SBEs would be associated with different clinical characteristics. However, several studies have failed to find significant difference between individuals reporting OBEs and SBEs with regard to age, age of BE onset, BE severity, interpersonal problems, depressive symptoms, generalized psychopathology, and ED-related psychopathology [10–13]. Results regarding prognosis are mixed, with some suggesting that SBE more readily responds to placebo, while others suggest that SBEs are slower to remit than OBEs [11,13,14]. With respect to primary care, this literature suggests that it is not necessary for busy primary care physicians to devote time to understanding the amount of food consumed by the patient; if the patient perceives that her eating is out of control and excessive, that can generally be considered valid data in terms of considering a BED diagnosis, particularly when combined with even moderately overweight status.

In contrast to the controversy regarding amount of food, the majority of studies suggest that BED binge eating episodes fall within the 2-hour duration specified by the DSM-5 criteria, although longer durations have been reported [13]. The loss of control (LOC) criterion also appears to be relatively well-supported across studies [13,14]. LOC is a key defining feature of a binge eating episode for individuals with and without BED [15–18].Furthermore, the emotional distress associated with loss of control has been associated with depressive symptoms, appearance dissatisfaction, and poorer mental health-related quality of life [19]. In contrast, one study found that 18.6% of self-reported binges were not associated with loss of control [20]. Of note, there is some concern that the focus on LOC in the diagnostic criteria may lead to under diagnosis of BED among men, as women with BED were more likely than men to identify LOC as a core aspect of a binge eating episode [17].

The second DSM-5 criterion for BED requires that BE episodes be associated with 3 or more of the following: (a) eating more rapidly than normal; (b) eating until uncomfortably full; (c) eating large amounts of food in the absence of hunger; (d) eating alone because of embarrassment about how much one is eating; and (e) feeling disgusted with oneself, depressed, or very guilty after overeating. This criterion is not as controversial as the first, and has correspondingly not received as much attention in the BED literature. However, results from a handful of studies provide some support for their inclusion, particularly in light of the fact that individuals are only required to endorse 3 of the 5 symptoms [13–15,17,21].

The third criteria for BED requires that individuals experience “marked distress” about BE. Only one known study has directly evaluated the distress criterion, and its validity was confirmed by results that suggested individuals with full-threshold BED had significantly greater ED-related psychopathology and depressive symptoms as compared to individuals who met all but the distress criteria for a BED diagnosis [22].

The fourth criteria for BED stipulates that BE occurs an average of once a week for 3 months. Previously, DSM-IV-TR required more frequent episodes, at least 2 days a week for 6 months, but this was criticized as lacking in empirical basis [23]. The current state of the evidence suggests that, with regard to frequency of BE episodes, BED best fits a continuous model rather than a categorical model. That is, symptoms and related impairment exist across a severity spectrum as a function of how often BE episodes occur. For example, in a critical review, Wilson and Sysko noted that individuals with sub-threshold frequency of BE episodes had less severe psychopathology than those meeting criteria for DSM-IV BE frequency (ie, at least 2 days a week for 6 months), but they were still significantly more impaired than those who did not binge eat [24]. The authors asserted that there was no empirical rationale for preserving the criteria of 2 binge days per week for 6 months, and indeed, DSM-5 adopted a more relaxed standard. As is the case with symptoms of many psychological disorders, there does not appear to be a definitive and concrete point at which binge eating becomes pathological [23]. Fortunately, reliability for the new criteria is good and appears superior to the DSM-IV criteria [25].

Finally, the last criteria for BED—which remains unchanged from the provisional criteria in DSM-IV-TR —is essentially a rule-out that states that BE should not be accompanied by the regular use of “inappropriate compensatory behaviors” or exclusively occur during the course of anorexia or bulimia. These criteria have also been criticized as being subjective, particularly in light of the fact that individuals with BED often report a history of infrequent purging behavior and frequently engage in weight-loss attempts [6,13,14]. However, the need for a rule-out is clear given that BE also occurs during the course of bulimia and anorexia, binge-eating/purging type, and it is supported by the low rates of crossover from BED to bulimia and/or anorexia [26].

Remission and severity specifiers are new to DSM-5. With respect to the latter, a recent study observed small but significant elevations in eating pathology among those with moderate severity BED, relative to the eating pathology experienced by those with mild severity, but there were no differences in level of associated depression. Interestingly, a better differentiator of severity of eating pathology and depression among patients with BED was overvaluation of shape/weight [27]. As such, the primary care physician might be better advised to focus on indicators of this important variable by querying the extent to which the patient’s shape and weight have influenced how she feels about (judges/thinks/evaluates) herself as a person, rather than using the number of BED symptoms alone as the indicator of severity.

• What is the epidemiology of BED?

Based on DSM-IV-TR criteria, the overall lifetime prevalence rate for BED has been reported to be 2.8%, and it is more common in women (3.5%) than men (2%) [28]; the overall 12-month prevalence rate is 1.2% (1.6% in women and 0.8% in men) [28]. Using DSM-5 criteria, a recent study observed that lifetime prevalence of BED by age 20 was 3.0% for BED and an additional 3.6% for subthreshold BED, with peak age of onset (for both) between ages 18 to 20 years [29]. Notably, even though prevalence rates are slightly higher using DSM-5 criteria (presumably, due to the relaxed criteria for frequency and duration of binge eating), effect sizes for impairment are also higher, suggesting that the revised criteria are not identifying BED cases marked by less impairment [29].  Although often thought of as a disorder common among young women, BED prevalence among middle-aged women (40–60 years) has a prevalence of at least 1.5%, with additional subthreshold cases being common in this age-range; groups meeting full BED criteria and subthreshold cases are both characterized by high levels of distress and impairment [30].

Gender Differences

Men engage in overeating as much or more than women but are less likely to endorse a loss of control and/or distress associated with BE [28,31], and thus are less likely to meet full BED criteria. However, when men do meet criteria for BED, they experience as much clinical impairment as their female counterparts [32]. Additionally, men’s BE may be more directly affected by body image dissatisfaction than women’s BE, and although it is associated with negative affect, it is less likely to be associated with interactions between negative affect and dietary restraint than seems to be the case for women [33]. In addition, in the primary care setting, men with BED were strikingly similar to their female counterparts on most historical and developmental variables [33]. However, men reported more frequent strenuous exercise, whereas women reported that onset of overweight and dieting occurred earlier in life [34]. That same study observed that men (57%) were more likely than women with BED (31%) to meet criteria for metabolic syndrome, even after controlling for race and BMI. A second study by the same research group again demonstrated that men with BED are more likely to show elevated blood pressure, triglycerides, and meet criteria for metabolic syndrome, whereas women are more likely to have elevated total cholesterol [35].

Race/Ethnicity

The evidence related to rates of BED among ethnic minorities is equivocal, with some studies demonstrating that Caucasian women are more likely to experience clinical levels of BED symptoms [36,37], others finding comparable rates between Caucasian and African-American women [38,39], and still others discussing the possibility of finding the greatest rates of binge eating in ethnic minority samples [40], especially in light of the high rates of obesity observed in some ethnic minority groups [41,42]. Studies that focus on subclinical levels of eating pathology among undergraduate students are most likely to find significant ethnic differences, while studies of nonclinical samples utilizing diagnostic threshold find the fewest differences [43]. There is at least some research demonstrating the highest rates of body image disturbance or eating problems among Asian Americans [44,45]. In addition, Latino individuals with BED may have higher levels of ED-related psychopathology as compared with Caucasian individuals [46]. Finally, Caucasian individuals who experience BED may be more likely to utilize mental health services as compared with other ethnic groups [47].

Age

Lower rates of BED have been documented in elderly individuals relative to their younger counterparts in population-based studies [28]. However, this may be due to recall bias, birth cohort effects, restricted access to studies, and/or increased medical morbidity leading to premature mortality [48]. Guerdjikova et al [48] also noted that many treatment outcomes studies have exclusion criteria related to age. This is unfortunate, as elderly individuals and their younger counterparts appear to exhibit similar levels of BE behavior, distress due to BE, weight and shape concerns, psychiatric comorbidity, and obesity. However, elderly individuals have reported later onset, longer duration of illness, and less medical morbidity [48]. In another study, Mangweth-Matzek et al [30] surveyed women between the ages of 40 and 60; they found that very few respondents met full criteria for an eating disorder. However, when criteria were relaxed (ie, dropping associated symptomology for BED and frequency criteria for bulimia nervosa) an additional 4.8% of the sample met criteria. Notably, women with subthreshold eating disorders reported very similar levels of comorbid psychopathology as women whose symptoms met diagnostic criteria.

• What tools are available for assessment of BED in the primary care setting?

Two of the most commonly used questionnaires in specialty clinics are the Eating Disorders Examination– Questionnaire (EDE-Q [49]), and the Questionnaire on Eating and Weight Patterns – Revised (QEWP-R [50]). In the primary care setting, both appear to be low-cost and time-efficient methods of screening for BED. The EDE-Q, however, may underestimate frequency of binge eating episodes and overestimate the extent of eating-related pathology [51]. Notably, the QEWP has been revised to reflect DSM-5 criteria and is available free of charge (QEWP-5 [52]). The Binge Eating Scale [53] is a 16-item scale often used to assess severity of binge eating; it is free and easily accessible online. Regardless of what measure is used, research indicates that a higher proportion of people agree to having episodes where they ‘‘lose control over eating’’ than when asked about having episodes of ‘‘binge eating’’ [54], so asking about loss of control over eating might be the more advisable way to open the discussion with patients about their eating behavior. In assessing for binge eating, physicians should also be aware of some of the differences in clinical presentation observed for ethnic minorities (eg, lower drive for thinness among African-American women) as well as some research demonstrating that measures such as the Eating Disorder Diagnostic Scale do not assess equivalent constructs in African-American and Caucasian clients [55]. Finally, while self-report measures often serve a practical function of quickly assessing a large group, physicians may want to consider relying on interview-based techniques for clients with lower levels of education attainment and literacy; at least one study has demonstrated problems with readability and comprehensibility with most BED measures [56].

Suggested interview questions to assess for BED in primary care are presented in Table 2.

• What are the clinical features of BED?

BED and Obesity

The specific impact of BED on health is difficult to separate from the impact of obesity on health, as the two conditions frequently co-occur and are confounded in many studies. Of relevance to the primary care setting, many BED patients report gaining a substantial amount of weight in the year prior to seeking treatment [57].

Although individuals with BED are often obese, proponents of classifying BED as a separate DSM diagnosis argue that individuals with BED differ from their non-BED obese counterparts in regards to eating patterns, eating disordered psychopathology, and associated features and comorbidities. Individuals with BED consume more calories in laboratory studies than weight-matched controls [6,7,58]. In contrast, studies utilizing ecological momentary assessment (ie, real-time assessments) found no differences between BED obese and non-BED obese participants in the frequency of self-reported binge eating and caloric intake during binge eating episodes [59,60]. BED participants, however, were more likely to report higher stress, desire to binge, negative affect, dietary restraint, and being alone immediately before self-reported binge eating episodes. Furthermore, individuals with BED also demonstrate more ED-related psychopathology than non-BED obese individuals [61–63]. Psychiatric comorbidity is also higher among BED obese individuals as compared their non-BED obese counterparts, and the increased comorbidity is accounted for by the severity of binge eating as opposed to the severity of obesity [6,64–67]. In addition, research demonstrates that obese individuals with BED, as compared with non-obese BED patients, have a poorer quality of life [68].

BED and Bulimia Nervosa

Numerous studies have supported the distinction between bulimia nervosa and BED [69–76]. Diagnostically, bulimia nervosa differs from BED by its requirement of recurrent inappropriate compensatory behaviors in order to prevent weight gain, such as self-induced vomiting; misuse of laxatives, diuretics, or other medications; fasting; or excessive exercise [3]. BED and bulimia nervosa are distinguished by distinct risk factors, prevalence, course, and treatment outcomes [28,67,77]. Individuals with BED are less likely than individuals with bulimia to diet before onset of the disorder, and fewer individuals with BED cross over into other ED diagnostic categories [26,78–81]. Finally, BED and bulimia nervosa are associated with different constellations of ED-related symptoms and associated features [28,63,79]. For example, relative to BE patients, those with bulimia show greater work impairment and psychiatric comorbidity [28], higher dietary restraint and eating concerns [63], and lower rates of obesity [79].

Psychiatric Comorbidity

BED is associated with poor social adjustment, greater functional impairment, and significant psychiatric comorbidity, including overall distress and suicidality [67]. In a study of comorbidity with only selected disorders (mood, anxiety, impulse-control, and substance use disorder), 78.9% of individuals with BED had a lifetime history of at least one comorbidity, 20.2% had one comorbid disorder, 9.8% had two, and 48.9% had three or more [28]. Furthermore, the presence of current psychiatric comorbidity is associated with greater ED-related psychopathology and associated distress [40,41]. The most common comorbidities (lifetime rates) are specific phobia (37.1%), social phobia (31.9%), major depressive disorder (32.3%), post-traumatic stress disorder (PTSD) (26.3%), alcohol abuse/dependence (21.4%), conduct disorder (20%), attention-deficit/ hyperactivity disorder (19.8%), illicit drug use/dependence (19.4%), and oppositional-defiant disorder (18%) [28]. A recent report supports that this level of comorbidity is evident in primary care settings, noting that PTSD in particular is common and associated with a host of other difficulties, including depression, anxiety, drug use disorders, greater eating disorder pathology, and poorer psychological functioning [82]. Personality disorders are also commonly comorbid with BED, with the highest lifetime rates for avoidant (11%), obsessive compulsive (10%), and borderline (9%) personality disorders [83]. Finally, cigarette smoking is also associated with binge eating [83,84], likely evolving out of a weight-control smoking profile [85], and this is of relevance to the primary care setting in that smokers with BED gain more weight upon smoking cessation than do their non-BED counterparts [86].

Further Evaluation

To assess behavioral factors related to obesity and recent weight gain, the physician asks the patient if she ever eats what would be considered an unusually large amount of food for the circumstance. The patient acknowledges that she does so regularly, particularly in response to negative moods. The patient also describes that these episodes contribute to ongoing low mood, such that she feels highly depressed and hopeless following binge episodes. The physician then asks about the patient’s exercise habits and weight management techniques. While the patient denies engaging in compensatory behaviors (eg, vomiting, laxative use) to counteract excessive eating, she does report a history of dieting in which she dramatically restricts her food intake and subsequently loses weight. The patient states that these periods are inevitably followed by a resumption of overeating, and she typically gains back more weight than she originally lost. The patient estimates that she has lost and regained more than 20 lb at least 5 times during her lifetime. In addition, the patient reports difficulty maintaining a regular exercise regimen, especially since the onset of osteoarthritis-related joint pain in the past year. After the evaluation, the physician orders an electrocardiogram (ECG) and blood work. The ECG shows that the P-wave, QRS, and T-wave axes are shifted leftward, but within normal limits. A follow-up appointment is scheduled in 2 weeks.

• What are the medical complications of BED?

BED is associated with numerous negative health sequelae including obesity, sleeping problems, musculoskeletal pain, joint pain, headaches, gastrointestinal problems, menstrual problems, shortness of breath, chest pain, diabetes, low health-related quality of life, and functional health impairments [87–90], with many of these risks persisting even after controlling for BMI [91]. A 5-year follow-up of 134 individuals with BED and 134 individuals with no history of eating disorders, who were frequency-matched for age, sex, and baseline body mass index (BMI), provides further support that BED confers risk of components of metabolic syndrome beyond the risks associated with BMI alone [92]. Specifically, BED cases had higher longitudinal risk of developing dyslipidemia, hypertension, type 2 diabetes, any metabolic syndrome component, and two or more metabolic syndrome components. Alarmingly, these findings even emerge in studies of pediatric samples, wherein BED predicts development of metabolic syndrome, elevated triglycerides, and increases in visceral adiposity [93].

• What are risk factors for BED?

A number of risk factors for BED have been identified, although many are risk factors for a number of psychiatric disorders and not specific to BED. These general risk factors include depression/negative affectivity [94,95], parental mood and substance use disorder, maternal problematic parenting, and separation from parents [95]. A host of risk factors have been identified for disordered eating, in general, including body dissatisfaction [94], early onset of dieting [94], and perfectionism [96]. A number of other variables are risk factors for both BED and bulimia (but not anorexia), including a history of childhood bully and teasing, negative self-evaluation, parental depression, and negative family communication about shape and weight [81,96]. In a study comparing BED cases to psychiatric controls, childhood obesity, familial eating problems, family discord, and high parental demands differentiated the BED cases [95]. In summary, it has been suggested that BED risk is conferred by factors that increase risk of psychiatric disorder in general and those that confer risk for obesity [81]. Of note, the risk factors studied do not appear to differ between black and white women [95].

Genetic risk factors appear to play a strong role in the development of BED. Risk for BED tends to aggregate in families independently of the risk for obesity, although the presence of BED in a first-degree relative does increase risk for obesity [97]. Heritability estimates for BED range from 45% to 57% [98,99], which is greater than the heritability estimate for subthreshold binge eating (ie, overeating with a sense of loss of control, 41%) [100]. In addition, symptom-level analyses support moderate genetic contributions for each BED symptom [98], supporting the integrity of the diagnostic criteria. Finally, shared environment appears to play a very small role in the familial transmission of BED, and the contribution of unique environmental factors in development of BED appears to be substantial [97,101].

With regard to the neurobiological underpinnings of BED, it appears that BED may be associated with hypersensitivity to reward, a phenomenon that is strongly associated with the striatum and dopaminergic mechanisms [102,103]. In support of this hypothesis, Davis et al [102] reported that BED was differentially related to genotypes that reflect a greater density of D2 receptors and higher D2 binding potential as compared to obese controls. Additionally, greater increases in striatal DA and unique activation patterns in the right ventral striatum have been demonstrated in individuals with BED as compared to obese non-BED controls in response to food-related stimuli [103,104]. Other findings have implicated the orbitofrontal cortex (OFC) in BED, which is another brain region responsible for reward processing, particularly as it relates to the hedonic value of food stimuli [103]. Increased volume of grey matter has been documented in individuals with BED and bulimia as compared to normal weight controls, and stronger medial OFC activation while viewing pictures of food was observed in individuals with BED as compared to individuals with bulimia, overweight controls, and normal controls [105].

Difficulties with affect regulation have also been implicated in the development of BED. Two theories that implicate a primary and specific role for affect regulation in BED are cited most frequently in the extant literature: the affect regulation theory and the escape theory. The affect regulation theory [106] posits that BE is a conditioned response to negative affect which is correspondingly negatively reinforced by reductions in negative affect, which could occur during or after BE. Escape theory [107] posits that aversive self-awareness causes negative affect, which in turn triggers BE. BE is then negatively reinforced by reductions in negative affect during a binge via an escape from self-awareness that is accomplished through cognitive narrowing to the immediate stimulus environment. In contrast to the affect regulation theory, escape theory predicts that negative affect will increase after BE when self-awareness is restored. Results regarding changes in affect during BE episodes are conflicting as to whether BE is associated with decreases, no change [108–110], or even increases in negative affect. In particular, a meta-analytic review of 36 studies that examined affect via ecological momentary sampling found moderate increases in negative affect following binge episodes [111]. To some degree, results of this meta-analysis may not generalize to BED, per se, given that it included other binge eating groups, such as those with bulimia nervosa. However, in general, studies suggest that negative affect is an antecedent for BE and increased negative affect may be a consequence of BE, at least among women. More information is needed regarding aversive self-awareness before and after BE, cognitive narrowing, and changes in affect during BE. As such, the current state of the literature provides only partial support for affect regulation models of BED in women. Furthermore, it remains unknown if these results will generalize to men.

Clinical Course

Evidence regarding the course and stability of BED is conflicting and unclear. Several prospective studies have suggested that BED is not a stable disorder, exhibiting high rates of remission over time [26,99,112]. However, the samples have been criticized for being small, completely female, younger than typical individuals with BED, and post-ED treatment. In contrast, a prospective study that included older women and a combination of treated and untreated women suggested remission rates at 1 year that were much lower (7%) [78]. Additionally, a retrospective study [113] reported an average BED duration of 14.4 years. In a review of the studies cited above, Wonderlich et al [6] concluded that “[a]lthough there is variability in the data, it does appear that BED differs from other eating disorders in terms of a greater tendency toward recovery and fluctuation, although this may be embedded in a chronic pattern of remission and relapse.” Viewing BED as a disorder with a chronic pattern of remission and relapse could explain why individuals with BED retrospectively report a longer duration of illness, as they may be more likely to conceptualize their illness as one continuous course punctuated by different periods of severity rather than several distinct bouts of BED. Finally, although diagnostic crossover is a frequent phenomenon among other eating disorders, the crossover rate for BED appears relatively low as compared to anorexia and bulimia [6,26,28,66].

Follow-up

Laboratory examination shows TSH levels within normal limits and cholesterol levels of 48 mg/dL(HDL), 162 mg/dL (LDL), and 270 mg/dL (total). Triglyceride levels are 300 mg/dL and the patient’s fasting glucose level is 115 mg/dL. At the patient’s follow-up appointment, the physician states that a number of laboratory results indicated negative weight-related health consequences, including high cholesterol, high triglycerides, hypertension, and probable pre-diabetes. The patient initially disregards the significance of these results, stating she only gained weight due to her break-up and quitting smoking, and she is motivated to diet to lose weight in the near future. The physician asks for more information about the patient’s eating behavior, in particular asking if she ever feels as if she loses control over her eating. The patient reluctantly admits to this, and the physician provides a referral to a behavioral health specialist. The patient expresses ambivalence and a desire to try to manage her weight on her own. The physician uses motivational interviewing techniques to enhance motivation to follow up on this referral. In addition, the patient is encouraged to make small changes to her diet and slowly increase her exercise by taking walks. Another follow-up appointment is scheduled in 3 months.

• Which treatments are most effective for BED?

Despite the negative sequalae of BED, studies suggest that it often goes untreated [114]. Women with BED, as compared to women with anorexia and bulimia, are less likely to seek treatment for BED and less likely to receive treatment for their eating disorder when they do seek it out [114–116]. Barriers to treatment may include shame and internalized weight stigma, lack of knowledge about where to seek treatment, a belief that willpower should be sufficient to overcome the problem, lack of understanding that BED is a psychiatric disorder, finances/insurance barriers, and lack of BED detection by non-specialist treatment providers [115]. These barriers are particularly concerning, as women with BED report greater health care utilization and comprise a large segment of patients in weight control programs. Therefore, it appears individuals with BED seek help for the negative consequences of the disorder, but they are less likely to seek and receive help for the likely root cause of their concerns. This is a particularly damaging pattern, as the presence of BED may negatively impact the outcome of obesity treatment [117]. There are, however, a number of promising treatments for BED, as described below:

Cognitive Behavioral Therapy

Cognitive behavioral therapy (CBT) is generally considered to be the most well-established and empirically supported treatment for BED [118,119]. The cognitive behavioral conceptualization of BED is based on Fairburn, Cooper, and Shafran’s [120] transdiagnostic model of eating disorders (CBT-E), which is an expanded version of the cognitive behavioral model of bulimia nervosa [121]. CBT-E posits that the core pathology in eating disorders is a dysfunctional system in which self-worth is based on eating habits, shape, or weight, and the individual’s ability to control them. Attempts to maintain self-worth by controlling eating, shape, and weight result in extreme and brittle forms of dietary restraint. Inevitable violations of the individual’s dietary rules are then interpreted as lack of self-control, leading to a temporary abandonment of dietary restraint and consequent BE. These dietary slips and corresponding BE often occur in response to acute changes in mood, and BE is thus negatively reinforced by “neutralizing” negative mood states. Lapses in dietary restraint also result in secondary negative self-evaluation, which serves to further exacerbate a cycle of increased dietary restraint to improve self-worth and then inevitable dietary lapses leading to BE. CBT-E expanded upon CBT-BN by postulating 4 processes that maintain ED: severe perfectionism (clinical perfectionism), unconditional and pervasive low self-esteem (core low self-esteem), difficulties coping with intense mood states (mood intolerance), and developmental interpersonal difficulties (interpersonal difficulties). Of note, the CBT-E model explicitly states that individuals may differ in the extent to which they experience the 4 maintaining processes and not every individual will experience all four.

Overall, treatment is focused on normalizing eating patterns (ie, not weight loss), cognitive restructuring for weight/shape concerns and other triggers for binge eating, and relapse prevention [122]. CBT has produced substantial reductions in binge eating as compared to no treatment [123–125] and supportive therapy [126]. The majority of RCTs have reported remission rates greater than 50% [127]. Unfortunately, CBT has generally not produced meaningful weight loss [118,122,127–129], but this may be a contraindicated goal. CBT has demonstrated improvements in a number of features associated with BED including eating disordered psychopathology [122,124,130,131], depression [122,124,130,132], social adjustment [133], and self-esteem [132]. Treatment gains are generally well-maintained at 1-year to 4-year follow-up [122,123,130,133,134]. Individual and group treatments appear to produce similar results [134], and treatment completion rates have been estimated at approximately 80% across different delivery formats [127]. One strength of the CBT literature is the inclusion of participants with severe psychopathology, which facilitates the generalizability of these findings [127].

A number of factors have been associated with treatment outcome in CBT trials. Poor treatment outcomes have been associated with a history of weight problems during childhood, high levels of emotional eating at baseline, interpersonal dysfunction, and low group cohesion during group CBT [110,124,134]. Overvaluation of weight and shape demonstrated a statistical trend toward negatively impacting outcomes in one study. The presence of a cluster B personality disorder (ie, borderline histrionic, antisocial, and narcissistic personality disorders) predicted higher levels of binge eating at 1-year follow-up in a combined sample of participants treated with group CBT or group interpersonal psychotherapy (IPT) [135].

Alternatively, positive treatment outcomes have been associated with low levels of emotional eating at baseline, older age of onset, weight loss history that is negative for amphetamine use, and decreases in depressive symptoms during treatment [124,134,136,137]. In addition, early response to treatment (defined as a 65%–70% reduction in binge eating within 4 weeks of starting treatment) tends to be associated with greater long-term (ie, 1–2 year) remission from BED and lower eating disorder psychopathology, across a variety of psychological treatment approaches [138–144].

Interpersonal Psychotherapy

IPT for BED was adapted by Wilfley and colleagues [145] from IPT for depression, and the rationale for its use with BED is based on successful outcomes for individuals with bulimia and multiple studies documenting interpersonal deficits in individuals with BED [146]. IPT seeks to address interpersonal problems in 4 areas: interpersonal conflict, grief, role transitions, and interpersonal deficits [135]. While adapting IPT for BED, it was noted that the course of BED tends to be more chronic than the course of depression, thus the focus of IPT for BED was shifted from addressing the interpersonal precipitants of the disorder to the interpersonal factors that maintain the disorder [145]. Fewer studies examining the effectiveness of IPT in treating BED have been published than those examining CBT for BED, but it appears that IPT is as efficacious as CBT immediately post-treatment [130], and at 1- [130] and 4-year follow-up [147]. In addition, at least 2 studies have been published that compare IPT, cognitive behavioral therapy–guided self-help (CBTgsh), and behavioral weight loss [133,141]. Overall, results support the use of both IPT and CBTgsh (discussed in more detail below), with important moderators of treatment effects observed. For example, Wilson et al [133] found that clients with higher levels of psychopathology were better suited for IPT. The authors conclude that these results could inform a model of evidence-based stepped care, where CBTgsh, a low-cost, low-intensity treatment, should be considered as the first line of treatment. Secondarily, IPT, which represents a more specialized and expensive form of treatment, could be considered the next level of care, particularly for clients who are not demonstrating rapid improvement in response to CBTgsh.

Dialectic Behavior Therapy

A small number of studies have investigated the treatment of BED with dialectical behavior therapy (DBT). Originally developed to treat borderline personality disorder [148], DBT is of particular interest given its explicit targeting of emotion regulation. According to the DBT model of BED [149], emotional dysregulation is the core psychopathology in this disorder, and binge eating is viewed as attempts to influence, change, or control painful emotions. Initially, promising results were published showing positive treatment effects in an uncontrolled study [150] as well as wait-list controlled trials [151]. Notably, relative to wait-list controls, participants in a DBT guided self-help program (who received an orientation, DBT manual, and six 20-minute support calls across 13 weeks) reported reduced past-month binge eating, higher binge eating abstinence rates, and over the longer term improved quality of life and reductions in ED psychopathology. However, a comparison of DBT-BED with an active comparison control group (ie, nonspecific supportive therapy) failed to find significant differences between the 2 treatments (defined as effect size greater than 0.5) at 12-month follow-up in binge eating abstinence, binge eating frequency, most ED-related psychopathology, positive affect, depression, and self-esteem [152]. Therefore, DBT may have potential and, at a minimum, is equally efficacious as supportive therapy.

Mindfulness- and Meditation-Based Therapies

Treatment outcome studies utilizing mindfulness-based therapies, including mindfulness-based stress reduction (MBSR) and acceptance and commitment therapy (ACT), make up a small but promising body of literature. Reasoning that negative affect, eating in the absence of hunger, and emotional eating may comprise one pathway to binge eating [153,154], it follows that mindfulness-based therapies may act through their effects on emotion regulation, acceptance strategies for tolerating negative affect, and awareness of bodily cues. A recent review identified 19 studies exploring the effects of mindfulness-based interventions on binge eating severity and frequency as well as a number of related indicators, observing positive effects for this form of treatment [155]. For example, MB-EAT [156] is a group treatment for BED that is primarily based on MBSR. Treatment is targeted at cultivating mindfulness, mindful eating, emotional balance, and self-acceptance[157]. The treatment also places particular emphasis on developing self-awareness of internal hunger and satiety cues. A recent randomized controlled trial of MB-EAT produced significant improvements in binge eating frequency and BE-related psychopathology [158]. Furthermore, process variables including hunger awareness, satiety awareness, and mindfulness were correlated with positive outcomes. In addition, a small study (n = 39) that compared ACT to standard follow-up utilized by a bariatric surgery team demonstrated significantly greater improvements in disordered eating, body satisfaction, and quality of life for clients who participated in ACT [159]. In brief, results suggest that mindfulness-based interventions represent an additional treatment approach with supporting but limited evidence to date.

Self-Help Interventions

Self-help interventions for BED are categorized as pure self-help or guided self-help. In treatment outcome studies, pure self-help is generally conducted with a self-help manual, although several studies have examined more novel formats such as the internet, video, and CD-ROM. GSH also uses a self-help manual (or other format) with the addition of brief sessions with health care providers who have varying degrees of expertise with the type of therapy being utilized. CBT is the most commonly utilized therapeutic modality in treatment outcome studies of self-help interventions, and they most often utilize Fairburn’s Overcoming Binge Eating self-help manual [160].

Two studies have directly compared pure and guided self-help with Fairburn’s manual and produced conflicting results. Carter and Fairburn [161] found that in a sample of primarily white women with BED, pure self-help (CBTsh; n = 24) and guided self-help (CBTgsh; n = 24) were equally effective, and both were superior to wait-list controls at 6-month follow-up in producing BE abstinence (CBTsh = 40%, CBTgsh = 50%), reducing binge eating, ED-related psychopathology, and general psychiatric symptoms. In contrast, a study comparing CBTsh and CBTgsh in 40 primarily white women with recurrent binge eating (82.5% diagnosed with BED), guided self-help was superior to pure self-help at the end of treatment in reducing BE frequency, eating concern, and restraint [162]. CBTgsh and CBTsh were equally effective in producing BE abstinence (50% and 30%, respectively), and reducing shape concern, weight concern, and general psychiatric symptoms [162]. Higher levels of general psychiatric symptoms were predictive of higher BE frequency post-treatment for both treatments. It should be noted that participants in both conditions experienced statistically significant improvements on all variables as compared to baseline.

CBTgsh also performed as well or better than individualized treatments in one study [133]. CBTgsh, IPT, and behavioral weight loss (BWL) were compared in a large study of 205 primarily white, obese or overweight individuals diagnosed with BED. The 3 treatments produced equivalent outcomes for binge eating at post-treatment, but BWL produced significantly greater weight loss. However, at 2-year follow-up, the CBTgsh and IPT groups had maintained treatment gains and were significantly superior to BWL in reductions in binge eating. The 3 groups were equivalent with regard to weight loss at the 2-year follow-up, and none reported clinically significant weight loss. Of note, as compared to the IPT and BWL groups, the CBTgsh group received 10 sessions as opposed to 20, received 25-minute sessions as opposed to 60-minute sessions, and were treated by providers with limited levels of experience as opposed to doctoral-level clinical psychologists.

To summarize, CBT is the most often studied type of self-help treatment. Both CBTsh and CBTgsh produced improvements in binge eating and associated psychopathology as compared to baseline and wait-list controls, and treatment gains were maintained at 6-month follow-up. Conclusions regarding the relative superiority of pure self-help or guided self-help are premature given the small number of studies and conflicting results.

In addition, limited information is available regarding moderators and predictors of guided self-help outcomes. Masheb and Grilo [163] performed a cluster analysis of the sample for the CBTgsh vs. BWLgsh described above [164] and identified 2 clinically significant subtypes: a dietary-negative affect subtype characterized by high restraint, low self-esteem, and depressive symptoms; and an overvaluation of weight and shape subtype. For both the CBTgsh and BWLgsh groups, the dietary-negative affect subtype experienced higher levels of binge eating frequency, and the overvaluation of weight and shape subtype experienced higher levels of ED-related psychopathology. Additionally, individuals receiving BWLgsh who experienced a rapid response to treatment reported lower BE frequency, greater weight loss, and higher restraint than participants without a rapid response [142]. In contrast, rapid response did not appear to affect outcomes for CBTgsh participants. Finally, the combination of low self-esteem and high ED-related psychopathology negatively affected BE remission rates for CBTgsh recipients [133].

Pharmacologic Treatment

Currently only one medication, lisdexamfetamine dimesylate, has been FDA-approved for the treatment of BED. Previously approved for treating both adults and children with attention-deficit hyperactivity disorder, lisdexamfetamine dimesylate is a central nervous system stimulant and has been found to significantly reduce number of binge days, with robust effect sizes [165]. Beyond this medication, the evidence for pharmacologic treatment of BED is limited. A recent review identified only 22 studies exploring the effects of pharmacologic treatment in a methodologically rigorous way (eg, double-blind placebo design) [4]. To date, a number of different medication classes have been evaluated, including antidepressants, anticonvulsants, stimulants, anti-obesity drugs, and others. Overall, there is some evidence that antidepressant and anticonvulsant agents are efficacious at reducing BE frequency [166,167] and sometimes effective regarding statistically significant weight loss [168,169]. However, the majority of results are generally disappointing, both with respect to reductions in binge eating and sustained weight loss [48,170,171]. In addition, there are serious limitations in the literature that must be considered, including the limited number of studies that address the high placebo response observed in clinical samples, limited follow-up windows, and inadequate multiplicitious confirmatory trials. Despite these limitations, the evidence base related to pharmacologic treatment is continuously evolving and represents an important future direction for the treatment of BED.

Treatment

Prior to her next medical follow-up, the patient meets with a psychologist. The patient discloses that she has been binge eating several times per week for over a year; she also discloses a history of prolonged sexual abuse perpetrated by a step-parent during her childhood. When the patient returns to her follow-up medical appointment, she reports that her psychologist has diagnosed her with BED and PTSD. She states that they are using cognitive behavioral techniques to regulate her mood and eating behavior, with a specific aim of avoiding excessive dietary restraint. In addition, they are working together to discuss her unfulfilling romantic history and processing her experiences of trauma. Since her last appointment with the primary care physician, she reports an increased awareness of her eating habits, improvement in mood, and a 10-lb decrease in her weight.

The patient reports that she has continued to meet weekly with her psychologist and has slowly begun reintroducing low-impact exercise to her routine. She continues to lose weight gradually, but with a priority of stabilizing eating behavior and avoiding binge episodes versus aiming for weight loss. She reports that her mood has stabilized. Her cholesterol and triglycerides remain high, but her blood pressure is controlled effectively with medication. Her physician recommends continued psychological treatment, periodic meetings with a nutritionist, and prescribes medication for her cholesterol. A follow-up appointment with her physician is scheduled in 6 months.

Summary

BED is the most common eating disorder, but one for which many do not seek treatment directly, instead presenting to primary care for a host of comorbid psychiatric and medical conditions. Proper screening and referral in the primary care setting can optimize the likelihood of patients’ obtaining empirically supported treatments with coordinated care between primary care and behavioral health providers. Some sources for information for patients and providers are listed in Table 3. As the literature does not yet overwhelmingly support a particular treatment modality over another, the primary care physician should support patient preferences amongst the options reviewed above. Given that a large body of literature supports the use of motivational interviewing strategies [172,173] to optimize the likelihood of engaging in a wide range of health behaviors in the primary care setting, reliance on such strategies to promote engagement in BED treatment is highly recommended.

 

Corresponding author: Karen K. Saules, PhD, Eastern Michigan University, Psychology Clinic, 611 W. Cross St., Ypsilanti, MI 48197, ksaules@emich.edu

Financial disclosures: None.

References

1. Stunkard AJ. Eating patterns and obesity. Psychiatr Q 1959;33:284–95.

2. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed. Text revision. Washington (DC): The Association; 2000.

3. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: The Association; 2013.

4. Reas D, Grilo C. Pharmacological treatment of binge eating disorder: update review and synthesis. Hum Psychopharmacol Clin Exp 2015;23:1463–78.

5. Wilson G. Treatment of binge eating disorder. Psychiatr Clin North Am 2011;34:773–83.

6. Wonderlich SA, Gordon KH, Mitchell JE, et al. The validity and clinical utility of binge eating disorder. Int J Eat Disord 2009;42:687–705.

7. Walsh BT, Boudreau G. Laboratory studies of binge eating disorder. Int J Eat Disord 2003;34 Suppl:S30–8.

8. Guss JL, Kissileff HR, Devlin MJ, et al. Binge size increases with body mass index in women with binge-eating disorder. Obes Res 2002;10:1021–9.

9. Fairburn CG, Cooper Z. The eating disorder examination. In: Fairburn CG, Cooper Z, editors. Binge eating: nature, assessment, and treatment. New York: Guilford Press;1993:317–60.

10. Keel PK, Mayer SA, Harnden-Fischer JH. Importance of size in defining binge eating episodes in bulimia nervosa. Int J Eat Disord 2001;29:294–301.

11. Niego SH, Pratt EM, Agras WS. Subjective or objective binge: is the distinction valid? Int J Eat Disord 1997;22: 291–8.

12. Pratt E, Niego S, Agras W. Does the size of a binge matter? Int J Eat 1998;24:307–12.

13. Wolfe BE, Baker CW, Smith AT, et al. Validity and utility of the current definition of binge eating. Int J Eat Disord 2009;42:674–86.

14. Latner JD, Clyne C. The diagnostic validity of the criteria for binge eating disorder. Int J Eat Disord 2008;41:1–14.

15. Johnson WG, Boutelle KN, Torgrud L. What is a binge? The influence of amount, duration, and loss of control criterial on judgements of binge eating. Int J Eat Disord 2000;27:471–9.

16. Johnson WG, Roberson-NR, Rohan KJ, et al. An experimental investigation of DSM-IV binge-eating criteria. Eat Behav 2003;4:295–303.

17. Reslan S, Saules KK. College students’ definitions of an eating ‘binge’ differ as a function of gender and binge eating disorder status. Eat Behav 2011;12:225–7.

18. Telch CF, Pratt EM, Niego SH. Obese women with binge eating disorder define the term binge. Int J Eat Disord 1998;24:313–7.

19. Colles SL, Dixon JB, O’Brien PE. Loss of control is central to psychological disturbance associated with binge eating disorder. Obesity (Silver Spring) 2008;16:608–14.

20. Stein KF, Kenardy J, Wiseman C V, et al. What’s driving the binge in binge eating disorder? A prospective examination of precursors and consequences. Int J Eat Disord 2007;40:195–203.

21. Rossiter EM, Agras WS, Telch CF, et al. The eating patterns of non-purging bulimic subjects. Int J Eat Disord 1992;11:111–120.

22. Grilo CM, White MA. A controlled evaluation of the distress criterion for binge eating disorder. J Consult Clin Psychol 2011;79:509–14.

23. Trace SE, Thornton LM, Root TL, et al. Effects of reducing the frequency and duration criteria for binge eating on lifetime prevalence of bulimia nervosa and binge eating disorder: implications for DSM-5. Int J Eat Disord 2012;45: 531–6.

24. Wilson GT, Sysko R. Frequency of binge eating episodes in bulimia nervosa and binge eating disorder: diagnostic considerations. Int J Eat Disord 2009;42:603–10.

25. Sysko R, Roberto CA, Barnes RD, et al. Test-retest reliability of the proposed DSM-5 eating disorder diagnostic criteria. Psychiatry Res 2012;196:302–8.

26. Fairburn CG, Cooper Z, Doll HA, et al. The natural course of bulimia nervosa and binge eating disorder in young women. Arch Gen Psychiatry 2000;57:659–65.

27. Grilo CM, Ivezaj V, White MA. Evaluation of the DSM-5 severity indicator for binge eating disorder in a community sample. Behav Res Ther 2015;66:72–6.

28. Hudson JI, Hiripi E, Pope HG, et al. The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication. Biol Psychiatry 2007;61:348–58.

29. Stice E, Marti CN, Rohde P. Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8-year prospective community study of young women. J Abnorm Psychol 2012;122:445–57.

30. Mangweth-Matzek B, Hoek HW, Rupp CI, et al. Prevalence of eating disorders in middle-aged women. Int J Eat Disord 2014;47:320–4.

31. Ivezaj V, Saules KK, Hoodin F, et al. The relationship between binge eating and weight status on depression, anxiety, and body image among a diverse college sample: a focus on bi/multiracial women. Eat Behav 2010;11:18–24.

32. Striegel-Moore RH, Bedrosian R, Wang C, et al. Why men should be included in research on binge eating: results from a comparison of psychosocial impairment in men and women. Int J Eat Disord 2012;45:233–40.

33. Womble LG, Williamson DA, Martin CK, et al. Psychosocial variables associated with binge eating in obese males and females. Int J Eat Disord 2001;30:217–21.

34. Udo T, McKee SA., White MA., et al. Sex differences in biopsychosocial correlates of binge eating disorder: a study of treatment-seeking obese adults in primary care setting. Gen Hosp Psychiatry 2013;35:587–91.

35. Udo T, McKee SA., White MA, et al. Menopause and metabolic syndrome in obese individuals with binge eating disorder. Eat Behav 2014;15:182–5.

36. Napolitano MA., Himes S. Race, weight, and correlates of binge eating in female college students. Eat Behav 2011;12:29–36.

37. Sorbara M, Geliebter A. Body image disturbance in obese outpatients before and after weight loss in relation to race, gender, binge eating, and age of onset of obesity. Int J Eat Disord 2002;31:416–23.

38. Alegria M, Woo M, Cao Z, et al. Prevalence and correlates of eating disorders in Latinos in the U.S. Int J Eat Disord 2007;40:S15–21.

39. Striegel-Moore RH, Wilfley DE, Pike KM, et al. Recurrent binge eating in black American women. Arch Fam Med 2000;9: 83–7.

40. Reslan S, Saules KK. Assessing the prevalence of and factors associated with overweight, obesity, and binge eating as a function of ethnicity. Eat Weight Disord-St 2013;18:209–19.

41. Grilo CM, White MA, Barnes RD, et al. Psychiatric disorder co-morbidity and correlates in an ethnically diverse sample of obese patients with binge eating disorder in primary care settings. Compr Psychiatry 2012;54:209–16.

42. Smolak L, Striegel Moore RH. Challenging the myth of the golden girl: ethnicity and eating disorders. In: Smolak L, Striegel Moore RH, editors. Eating disorders innovative directions in research and practice. Washington (DC): American Psychological Association;2001:111–32.

43. Wildes JE, Emery RE. The role of ethnicity and culture in the development of eating disturbance and body dissatisfaction: a meta-analutic review. Clin Phychology Rev 2001;21:521–50.

44. George JBE, Franko DL. Cultural issues in eating pathology and body image among children and adolescents. J Pediatr Psychol 2010;35:231–42.

45. Kelly NR, Cotter EW, Tanofsky-Kraff M, et al. Racial variations in binge eating, body image concerns, and compulsive exercise among men. Psychol Men Masc 2014;13:326-36.

46. Franko DL, Thompson-Brenner H, Thompson DR, et al. Racial/ethnic differences in adults in randomized clinical trials of binge eating disorder. J Consult Clin Psychol 2012;80:186–95.

47. Marques L, Alegria M, Becker AE, et al. Comparative prevalence, correlates of impairment, and service utilization for eating disorders across U.S. ethnic groups: Implications for reducing ethnic disparities in health care access for eating disorders. Int J Eat Disord 2012;44:412–20.

48. Guerdjikova AI, O’Melia AM, Mori N, et al. Binge eating disorder in elderly individuals. Int J Eat Disord 2012;45: 905–8.

49. Fairburn CG. Beglin SJ. Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord 1994;16:363–70.

50. Spitzer R, Yanovski S, Marcus M. The questionnaire on eating and weight patterns-revised (QEWP-R). New York State Psychiatric Institute, Mew York 1993.

51. Barnes RD, Masheb RM, White MA, et al. Comparison of methods for identifying and assessing obese patients with binge eating disorder in primary care settings. Int J Eat Disord 2011;44:157–63.

52. Yanovski SZ, Marcus MD, Wadden TA, et al. The questionnaire on eating and weight patterns-5: an updated screening instrument for binge eating disorder. Int J Eat Disord 2015;48:259–61.

53. Gormally J, Black S, Daston S, et al. The assessment of binge eating severity among obese persons. Addict Behav 1982;7:47–55.

54. Alfonsson S. Replacing the term ‘binge eating’ with ‘loss of control over eating’ affects eating disorder screening in clinical care. Obes Res Clin Pract 2015;6–7.

55. Kelly NR, Mitchell KS, Gow RW, et al. An evaluation of the reliability and construct validity of eating disorder measures in white and black women. Psychol Assess 2012;24:608–17.

56. Richards LK, McHugh RK, Pratt EM, et al. Readability and comprehension of self-report binge eating measures. Eat Behav 2013;14:167–70.

57. Masheb RM, White MA, Grilo CM. Substantial weight gains are common prior to treatment-seeking in obese patients with binge eating disorder. Compr Psychiatry 2013;54:880–4.

58.  Heaner MK, Walsh BT. A history of the identification of the characteristic eating disturbances of Bulimia Nervosa, Binge Eating Disorder and Anorexia Nervosa. Appetite 2013;65:185–8.

59. Greeno CG, Wing RR, Shiffman S. Binge antecedents in obese women with and without binge eating disorder. J Consult Clin Psychol 2000;68:95–102.

60. Le Grange D, Gorin A, Catley D, et al. Does momentary assessment detect binge eating in overweight women that is denied at interview? Eur Eat Disord Rev 2001;9:309–24.

61. Brody ML, Walsh BT, Devlin MJ. Binge eating disorder: reliability and validity of a new diagnostic category. J Consult Clin Psychol 1994;62:381–6.

62. Hsu LKG, Mulliken B, McDonagh B, et al. Binge eating disorder in extreme obesity. Int J Obes Relat Metab Disord 2002;26:1398–403.

63. Wilfley DE, Schwartz MB, Spurrell EB, et al. Using the eating disorder examination to identify the specific psychopathology of binge eating disorder. Int J Eat Disord 2000;27:259–69.

64. Grucza RA, Przybeck TR, Cloninger CR. Prevalence and correlates of binge eating disorder in a community sample. Compr Psychiatry 2007;48:124–31..

65. Telch CF, Stice E. Psychiatric comorbidity in women with binge eating disorder: prevalence rates from a non-treatment-seeking sample. J Consult Clin Psychol 1998;66:768–76.

66. Wilfley DE, Bishop ME, Wilson GT, et al. Classification of eating disorders: toward DSM-V. Int J Eat Disord 2007; 40:s123–9.

67. Wilfley DE, Wilson GT, Agras WS. The clinical significance of binge eating disorder. Int J Eat Disord 2003;34 Suppl:S96–106.

68. Perez M, Warren CS. The relationship between quality of life, binge-eating disorder, and obesity status in an ethnically diverse sample. Obesity (Silver Spring) 2012;20:879–85.

69. Bulik CM, Sullivan PF, Kendler KS. An empirical study of the classification of eating disorders. Am J Psychiatry 2000;157:886–95.

70. Keel PK, Heatherton TF, Dorer DJ, et al. Point prevalence of bulimia nervosa in 1982, 1992, and 2002. Psychol Med 2006;36:119–27.

71. Mitchell JE, Crosby RD, Wonderlich SA, et al. Latent profile analysis of a cohort of patients with eating disorders not otherwise specified. Int J Eat Disord 2007;40:s95–8.

72. Rockert W, Kaplan AS, Olmsted MP. Eating disorder not otherwise specified : the view from a tertiary care treatment center. Int J Eat Disord 2007;40:s99–103.

73. Striegel-Moore RH, Franko DL, Thompson D, et al. An empirical study of the typology of bulimia nervosa and its spectrum variants. Psychol Med 2005;35:1563–72.

74. Sullivan PF, Bulik CM, Kendler KS. The epidemiology and classification of bulimia nervosa. Psychol Med 1998;28:599–610.

75. Wade TD, Crosby RD, Martin NG. Use of latent profile analysis to identify eating disorder phenotypes in an adult Australian twin cohort. Arch Gen Psychiatry 2006;63:1377–84.

76. Striegel-Moore RH, Franko DL. Should binge eating disorder be included in the DSM-V? A critical review and state of the evidence. Annu Rev Clin Psychol 2008;4:305–24.

77. Striegel-Moore RH, Cachelin FM. Etiology of eating disorders in women. Couns Psychol 2001;29:635–61.

78. Crow SJ, Stewart Agras W, Halmi K, et al. Full syndromal versus subthreshold anorexia nervosa, bulimia nervosa, and binge eating disorder: a multicenter study. Int J Eat Disord 2002;32:309–18.

79. Striegel-Moore RH, Cachelin FM, Dohm F a, et al. Comparison of binge eating disorder and bulimia nervosa in a community sample. Int J Eat Disord 2001;29:157–65.

80. Wilfley DE, Schwartz MB, Spurrell EB, et al. Assessing the specific psychopathology of binge eating disorder patients: Interview or self-report? Behav Res Ther 1997;35:1151–9.

81. Fairburn CG, Doll HA, Welch SL, et al. Risk factors for binge eating disorder. Arch Gen Psychiatry 1998;55:425–32.

82. Grilo CM, White M a., Barnes RD, et al. Posttraumatic stress disorder in women with binge eating disorder in primary care. J Psychiatr Pract 2012;18:408–12.

83. Cassin SE, von Ranson KM. Is binge eating experienced as an addiction? Appetite 2007;49:687–90.

84. Kelly-Weeder S, Jennings KM, Wolfe BE. Gender differences in binge eating and behavioral correlates among college students. Eat Weight Disord 2012;17:e200–2.

85. Pomerleau CS, Ehrlich E, Tate JC, et al. The female weight-control smoker: a profile. J Subst Abuse 1993;5:391–400.

86. White MA, Masheb RM, Grilo CM. Function of binge eating behavior. Int J Eat Disord 2010;43:572–75.

87. Bulik CM, Reichborn-Kjennerud T. Medical morbidity in binge eating disorder. Int J Eat Disord 2003;34:S39–46.

88. Johnson JG, Spitzer RL, Williams JBW. Health problems, impairment and illnesses associated with bulimia nervosa and binge eating disorder among primary care and obstetric gynaecology patients. Psychol Med 2001;31.

89. Mond JM, Hay PJ, Rodgers B, et al. Assessing quality of life in eating disorder patients. Qual Life Res 2005;14:171–8.

90. Marchesini G, Natale S, Chierici S, et al. Effects of cognitive-behavioural therapy on health-related quality of life in obese subjects with and without binge eating disorder. Int J Obes Relat Metab Disord 2002;26:1261–7.

91. Reichborn-Kjennerud T, Bulik CM, Sullivan PF, et al. Psychiatric and medical symptoms in binge eating in the absence of compensatory behaviors. Obes Res 2004;12:1445–54.

92. Hudson JI, Lalonde JK, Coit CE, et al. Longitudinal study of the diagnosis of components of the metabolic syndrome in individuals with binge-eating disorder. Am J Clin Nutr 2010;91:1568–73.

93. Tanofsky-Kraff M, Shomaker LB, Stern EA, et al. Children’s binge eating and development of metabolic syndrome. Int J Obes 2012;36:956–62.

94. Stice E, Marti CN, Durant S. Risk factors for onset of eating disorders: evidence of multiple risk pathways from an 8-year prospective study. Behav Res Ther 2011;49:622–7.

95. Striegel-Moore RH, Fairburn CG, Wilfley DE, et al. Toward an understanding of risk factors for binge-eating disorder in black and white women: a community-based case-control study. Psychol Med 2005;35:907–17.

96. Hilbert A, Pike KM, Goldschmidt AB, et al. Risk factors across the eating disorders. Psychiatry Res 2014;220:500–6.

97. Hudson JI, Lalonde JK, Berry JM, et al. Binge-eating disorder as a distinct familial phenotype in obese individuals. Arch Gen Psychiatry 2006;63:313–19.

98. Mitchell KS, Neale MC, Bulik CM, et al. Binge eating disorder: a symptom-level investigation of genetic and environmental influences on liability. Psychol Med 2010;40:1899–906.

99. Javaras KN, Pope HG, Lalonde JK, et al. Co-occurrence of binge eating disorder with psychiatric and medical disorders. J Clin Psychiatry 2008;69:266–73.

100. Reichborn-Kjennerud T, Bulik CM, Tambs K, et al. Genetic and environmental influences on binge eating in the absence of compensatory behaviors: a population-based twin study. Int J Eat Disord 2004;36:307–14.

101. Javaras KN, Pope HG, Lalonde JK, et al. Co-occurrence of binge eating disorder with psychiatric and medical disorders. J Clin Psychiatry 2008;69:266–73.

102. Davis C, Levitan RD, Yilmaz Z, et al. Binge eating disorder and the dopamine D2 receptor: genotypes and sub-phenotypes. Prog Neuropsychopharmacol Biol Psychiatry 2012;38:328–35.

103. Weygandt M, Schaefer A, Schienle A, et al. Diagnosing different binge-eating disorders based on reward-related brain activation patterns. Hum Brain Mapp 2012;33:2135–46.

104. Wang G-J, Geliebter A, Volkow ND, et al. Enhanced striatal dopamine release during food stimulation in binge eating disorder. Obesity (Silver Spring) 2011;19:1601–8.

105. Schäfer A, Vaitl D, Schienle A. Regional grey matter volume abnormalities in bulimia nervosa and binge-eating disorder. Neuroimage 2010;50:639–43.

106. Hawkins RC, Clement PF. Binge eating: measurement problems and a conceptual model. In: Fremouw WJ, Clement PF, editors. The binge purge syndrome: diagnosis, treatment, and research. New York: Springer;1984:229–51.

107. Heatherton TF, Baumeister RF. Binge eating as escape from self-awareness. Psychol Bull 1991;110:86–108.

108. Deaver CM, Miltenberger RG, Smyth J, et al. An evaluation of affect and binge eating. Behav Modif 2003;27: 578–99.

109. Stickney MI, Miltenberger RG, Wolff G. A descriptive analysis of factors contributing to binge eating. J Behav Ther Exp Psychiatry 1999;30:177–89.

110. Hilbert A, Saelens BE, Stein RI, et al. Pretreatment and process predictors of outcome in interpersonal and cognitive behavioral psychotherapy for binge eating disorder. J Consult Clin Psychol 2007;75:645–51.

111. Haedt-Matt AA, Keel PK. Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecological momentary assessment. Psychol Bull 2012;137:660–81.

112. Cachelin FM, Striegel-Moore RH, Elder K a, et al. Natural course of a community sample of women with binge eating disorder. Int J Eat Disord 1999;25:45–54.

113. Pope HG, Lalonde JK, Pindyck LJ, et al. Binge eating disorder: a stable syndrome. Am J Psychiatry 2006;163:2181–3.

114. Pike KM, Dohm F a, Striegel-Moore RH, et al. A comparison of black and white women with binge eating disorder. Am J Psychiatry 2001;158:1455–60.

115. Cachelin FM, Striegel-Moore RH. Help seeking and barriers to treatment in a community sample of Mexican American and European American women with eating disorders. Int J Eat Disord 2006;39:154–61.

116. Cachelin FM, Rebeck R, Veisel C, et al. Barriers to treatment for eating disorders among ethnically diverse women. Int J Eat Disord 2001;30:269–78.

117. Blaine B, Rodman J. Responses to weight loss treatment among obese individuals with and without BED: a matched-study meta-analysis. Eat Weight Disord 2007;12:54–60.

118. Iacovino JM, Gredysa DM, Altman M, et al. Psychological treatments for binge eating disorder. Curr Psychiatry Rep 2012;14:432–46.

119. Wilson GT, Shafran R. Eating disorders guidelines from NICE. Lancet 2005;365:79–81.

120. Fairburn CG, Cooper Z, Shafran R. Cognitive behaviour therapy for eating disorders: a ‘transdiagnostic’ theory and treatment. Behav Res Ther 2003;41:509–28.

121. Fairburn CG, Cooper Z, Cooper PJ. The clinical features and maintenance of bulimia nervosa. In: Brownell KD, Foreyt JP, editors. Handbook of eating disorders: physiology, psychology and treatment of obesity, anorexia and bulimia. New York: Guiliford;1986:389–404.

122. Grilo CM, Masheb RM, Wilson GT, et al. Cognitive-behavioral therapy, behavioral weight loss, and sequential treatment for obese patients with binge-eating disorder: a randomized controlled trial. J Consult Clin Psychol 2011;79:675–85.

123. Agras WS, Telch CF, Arnow B, et al. One-year follow-up of cognitive-behavioral therapy for obese individuals with binge eating disorder. J Consult Clin Psychol 1997;65:343–7.

124. Dingemans AE, Spinhoven P, van Furth EF. Predictors and mediators of treatment outcome in patients with binge eating disorder. Behav Res Ther 2007;45:2551–62.

125. Eldredge KL, Stewart Agras W, Arnow B, et al. The effects of extending cognitive-behavioral therapy for binge eating disorder among initial treatment nonresponders. Int J Eat Disord 1997;21:347–52.

126. Kenardy J, Mensch M, Bowen K, et al. Group therapy for binge eating in type 2 diabetes: a randomized trial. Diabet Med 2002;19:234–9.

127. Wilson GT, Grilo CM, Vitousek KM. Psychological treatment of eating disorders. Am Psychol 2007;62:199–216.

128. Munsch S, Meyer AH, Biedert E. Efficacy and predictors of long-term treatment success for cognitive-behavioral treatment and behavioral weight-loss-treatment in overweight individuals with binge eating disorder. Behav Res Ther 2012;50:775–8.

129. Brown TA, Keel PK. Current and emerging directions in the treatment of eating disorders. Subst Abuse 2012;6: 33–61.

130. Wilfley DE, Welch RR, Stein RI, et al. A randomized comparison of group cognitive-behavioral therapy and group interpersonal psychotherapy for the treatment of overweight individuals with binge-eating disorder. Arch Gen Psychiatry 2002;59:713–21.

131. Grilo CM, Masheb RM, Wilson GT. Efficacy of cognitive behavioral therapy and fluoxetine for the treatment of binge eating disorder: a randomized double-blind placebo-controlled comparison. Biol Psychiatry 2005;57:301–9.

132. Gorin AA, Le Grange D, Stone AA. Effectiveness of spouse involvement in cognitive behavioral therapy for binge eating disorder. Int J Eat Disord 2003; 33: 421–33.

133. Wilson GT, Wilfley DE, Agras WS, et al. Psychological treatments for binge eating disorder. Arch Gen Psychiatry 2010;67:94–101.

134. Ricca V, Castellini G, Mannucci E, et al. Comparison of individual and group cognitive behavioral therapy for binge eating disorder. a randomized, three-year follow-up study. Appetite 2010;55:656–65.

135. Wilfley DE, Friedman MA, Dounchis JZ, et al. Comorbid psychopathology in binge eating disorder: relation to eating disorder severity at baseline and following treatment. J Consult Clin Psychol 2000;68:641–9.

136. Castellini G, Mannucci E, Lo Sauro C, et al. Different moderators of cognitive-behavioral therapy on subjective and objective binge eating in bulimia nervosa and binge eating disorder: a three-year follow-up study. Psychother Psychosom 2012;81:11–20.

137. Grilo CM, Masheb RM, Crosby RD. Predictors and moderators of response to cognitive behavioral therapy and medication for the treatment of binge eating disorder. J Consult Clin Psychol 2012;80:897–906.

138. Grilo CM, Masheb RM, Wilson GT. Rapid response to treatment for binge eating disorder. J Consult Clin Psychol 2006;74:602–13.

139. Grilo CM, Masheb RM. Rapid response predicts binge eating and weight loss in binge eating disorder: findings from a controlled trial of orlistat with guided self-help cognitive behavioral therapy. Behav Res Ther 2007;45:2537–50.

140. Grilo CM, White MA, Wilson GT, et al. Rapid response predicts 12-month post-treatment outcomes in binge-eating disorder: theoretical and clinical implications. Psychol Med 2012;42:807–17.

141. Hilbert A, Hildebrandt T, Agras WS, et al. Rapid response in psychological treatments for binge eating disorder. 2015;83:649–654.

142. Masheb RM, Grilo CM. Rapid response predicts treatment outcomes in binge eating disorder: implications for stepped care. J Consult Clin Psychol 2007;75:639–44.

143. Safer DL, Joyce EE. Does rapid response to two group psychotherapies for binge eating disorder predict abstinence? Behav Res Ther 2011;49:339–45.

144. Zunker C, Peterson CB, Cao L, et al. A receiver operator characteristics analysis of treatment outcome in binge eating disorder to identify patterns of rapid response. Behav Res Ther 2010;48:1227–31.

145. Wilfley DE, Frank M, Welch R, et al. Adapting interpersonal psychotherapy to a group format (IPT-G) for binge eating disorder: toward a model for adapting empirically supported treatments. Psychother Res 1998;8:379–81.

146. Blomquist KK, Ansell EB, White M a, et al. Interpersonal problems and developmental trajectories of binge eating disorder. Compr Psychiatry 2012;53:1088–95.

147. Hilbert A, Bishop ME, Stein RI, et al. Long-term efficacy of psychological treatments for binge eating disorder. Br J Psychiatry 2012;200:232–7.

148. Linehan MM. Cognitive-behavioral treatment of borderline personality disorders. New York: Guilford Press; 1993.

149. Wiser S, Telch CF. Dialectical behavior therapy for Binge-Eating Disorder. J Clin Psychol 1999;55:755–68.

150. Telch CF, Agras WS, Linehan MM. Group dialectical behavior therapy for binge-eating disorder:a preliminary, uncontrolled trial. Behav Ther 2000;31:569–82.

151. Telch CF, Agras WS, Linehan MM. Dialectical behavior therapy for binge eating disorder. J Consult Clin Psychol 2001;69:1061–5.

152. Safer DL, Robinson AH, JB. Outcome from a randomized controlled trial of group therapy for binge eating disorder: comparing dialectical behavior therapy adapted for binge eating to an active comparison group therapy. Behav Ther 2010;41:106–20.

153. Baer RA. Mindfulness-based treatment approaches: Clinician’s guide to evidence base and applications. San Diego: Academic Press; 2005.

154. Van Strien T Van, Engels RCME, Leeuwe J Van, et al. The Stice model of overeating: Tests in clinical and non-clinical samples. Appetite 2005;45:205–13.

155. Godfrey KM, Gallo LC, Afari N. Mindfulness-based interventions for binge eating: a systematic review and meta-analysis. J Behav Med 2015;38:348–362.

156. Kristeller JL, Hallett CB. An exploratory study of a meditation-based intervention for binge eating disorder. J Health Psychol 1999;4:357–63.

157. Kristeller JL, Wolever RQ. Mindfulness-based eating awareness training for treating binge eating disorder: the conceptual foundation. Eat Disord 2011;19:49–61.

158. Kristeller J, Wolever RQ, Sheets V. Mindfulness-based eating awareness training (MB-EAT) for binge eating: a randomized clinical trial. Mindfulness (N Y) 2014;5:282–97.

159. Weineland S, Arvidsson D, Kakoulidis TP, et al. Acceptance and commitment therapy for bariatric surgery patients, a pilot RCT. Obes Res Clin Pract 2012;6:e21–30.

160. Fairburn CG. Overcoming binge eating. 2nd ed. New York: Guilford Press; 2013.

161. Carter JC, Fairburn CG. Cognitive-behavioral self-help for binge eating disorder: a controlled effectiveness study. J Consult Clin Psychol 1998;66:616–23.

162. Loeb KL, Wilson GT, Gilbert JS, et al. Guided and unguided self-help for binge eating. Behav Res Ther 2000;38:259–72.

163. Masheb RM, Grilo CM. Prognostic significance of two sub-categorization methods for the treatment of binge eating disorder: Negative affect and overvaluation predict, but do not moderate, specific outcomes. Behav Res Ther 2008;46:428–37.

164. Grilo CM, Masheb RM. A randomized controlled comparison of guided self-help cognitive behavioral therapy and behavioral weight loss for binge eating disorder. Behav Res Ther 2005;43:1509–25.

165. Citrome L. Vortioxetine for major depressive disorder: A systematic review of the efficacy and safety profile for this newly approved antidepressant - What is the number needed to treat, number needed to harm and likelihood to be helped or harmed? Int J Clin Pract 2015; 68:60–82.

166. Guerdjikova A, McElroy S, Kotwal R, et al. High-dose escitalopram in the treatment of binge-eating disorder with obesity: a placebo-controlled monotherapy trial. Hum Psychopharmacol 2008;23:1–11.

167. McElroy S, Hudson J, Malhotra JL, et al. Citalopram in the treatment of binge-eating disorder: a placebo-controlled trial. J Clin Psychiatry 2003;64:807–13.

168. McElroy S, Casuto L, Nelson EB, et al. Placebo-controlled trial of sertraline in the treatment of binge eating disorder. Am J Psychiatry 2000;157:1004–6.

169. McElroy S, Hudson J, Mitchell JE, et al. Efficacy and safety of lisdexamfetamine for treatment of adults with moderate to severe binge-eating disorder: a randomized clinical trial. JAMA Psychiatry 2015;72:235–46.

170. Pearlstein T, Spurell E, Hohlstein LA, et al. A double-blind, placebo-controlled trial of fluvoxamine in binge eating disorder: a high placebo response. Arch Women’s Ment Health 2003;6:147–51.

171. Hudson J, McElroy S. Raymond NC, et al. Fluvoxamine in the treatment of binge-eating disorder: a multicenter placebo-controlled, double-blind trial. Am J Psychiatry 1998;155:1756–62.

172. Miller W, Rollnick S. Motivational Interviewing: helping people change. 3rd ed. New York: Guilford Press; 2013.

173. Rollnick S, Miller W, Butler C. Motivational interviewing in health care: helping patients change behavior. New York: Guilford Press; 2008.

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From the Department of Psychology, Eastern Michigan University, Ypsilanti, MI.

 

Abstract

  • Objective: To describe the epidemiology, clinical features, clinical course, medical complications, and treatment of binge-eating disorder (BED).
  • Methods: Review of the literature.
  • Results: BED, the most common eating disorder, is a distinct pattern of binge eating accompanied by a sense of loss of control over eating without inappropriate compensatory behaviors. Because people with BED more commonly seek treatment for the psychological and medical factors that are associated with the disorder, patients’ first point of contact with the medical profession is likely to be the primary care physician (PCP). The PCP’s role includes making efforts to screen for BED symptoms, employing motivational interviewing strategies to enhance likelihood of following through with treatment, providing psychoeducational information about eating and weight control, monitoring eating, weight, and related medical problems at follow-up visits, and making referrals to behavioral health specialists who can deliver empirically supported treatments for BED.
  • Conclusion: Proper screening and referral in the primary care setting can optimize the likelihood that  patients obtain empirically supported treatment.

 

 

Binge-eating disorder (BED), first described by Stunkard in the 1950s, is a distinct pattern of binge eating, accompanied by a sense of loss of control over eating without inappropriate compensatory behaviors [1]. It was not until the publication of DSM-IV-TR [2] that BED received systematic study as a separate diagnostic category, when it was included in the appendix Criteria Sets and Axes Provided for Further Study. Until recently, individuals reporting binge eating without recurrent compensatory behavior were diagnosed with an eating disorder not otherwise specified. More recently, the American Psychiatric Association approved BED for inclusion in DSM-5 as its own category of eating disorder [3]. The diagnostic criteria for BED are delineated in Table 1. In contrast to BED, bulimia nervosa is a longstanding diagnostic category that refers to recurrent episodes of binge eating, accompanied by a sense of loss of control over eating and recurrent inappropriate compensatory behaviors to prevent weight gain (eg, self-induced vomiting, misuse of laxatives or diuretics, fasting)

BED is the most common eating disorder, but it is one for which many do not seek treatment directly. Rather, those struggling with BED more commonly seek treatment for the psychological and medical factors that are strongly associated with the disorder. As will be reviewed below, these factors include poor social adjustment, functional impairment, psychological distress and psychiatric comorbidity, and myriad medical sequelae due to obesity and weight cycling. As such, the BED patient’s point of first contact with the medical profession is most likely to be with the primary care physician, who has several roles in the treatment of BED. There is a limited evidence base for pharmacological treatment of BED, with some medications yielding short-term reductions in binge eating, but none with strong support for long-term efficacy [4]. However, with the recent FDA approval of lisdexamfetamine dimesylate for the treatment of moderate to severe BED, this picture may change. Nonetheless, pharmacologic interventions for comorbid medical conditions will fall solidly in the bailiwick of the primary care physician. In addition, the primary care physician’s role includes making efforts to screen for BED symptoms; employing motivational interviewing strategies to enhance likelihood of following through with treatment; providing psychoeducational information about eating and weight control; monitoring eating, weight, and related medical problems at follow-up visits; and making referrals to behavioral health specialists who can deliver empirically supported treatments for BED. Finally, because BED is typically associated with weight gain over time [5], the primary care physician is encouraged to reinforce the clinical significance of weight maintenance as opposed to necessarily promoting a goal of weight loss. The rationale for this primary care approach is reviewed below, in consideration of the scientific literature and a case study highlighting common clinical features.

Case Study

Initial Presentation

A 35-year-old Caucasian woman schedules an appointment for her annual physical examination with her primary care physician. She reports generally good health but complains of low mood, joint pain, and difficulties managing her weight. Her blood pressure is managed with 100 mg/day of metoprolol. The only other medication she takes is birth control (ethinyl estradiol 20 mcg).

Physical Examination

During physical examination, it is determined that the patient is 5'6" and weighs 286 lb, with a body mass index (BMI) of 46.2 kg/m2, placing her in WHO obesity class III. The patient’s blood pressure is 130/85 mm Hg (medically managed), and her heart rate is 83 bpm. The patient states that she has been experiencing episodes of low mood off and on most of her life; she recently ended a relationship, which has exacerbated her symptoms. The physician states that the patient has gained a significant amount of weight since her last physical examination. The patient reports that she quit smoking 6 months ago and has since gained approximately 30 lb; she has considered smoking again to manage her weight.

• What are the diagnostic criteria for BED?

BED diagnostic criteria (Table 1) have been closely examined for their validity and clinical utility, and several have been the subject of intense debate in the BED literature. The first BED criterion, recurrent episodes of binge eating, refers to 3 essential components: amount of food, time period, and a subjective experience of loss of control. The majority of debate regarding this criterion revolves around the requirement for consumption of a “large amount of food.” There are 2 primary arguments against this criterion. First, it is inherently subjective and requires the person making the diagnosis to distinguish between normative food intake and excessive food intake [6]. There is also some debate as to whether or not individuals with BED actually consume large amounts of food when they binge. However, research supports that those with BED may consume over 1000 kcal during binge episodes, far more than those without BED who are asked to binge eat in the lab [7,8].

Nonetheless, a distinction has been made between objective binge-eating episodes (OBE) and subjective binge eating episodes (SBE) [9]. OBEs are binge eating episodes that meet the full criteria including a large amount of food and a subjective loss of control. SBEs, in contrast, are binge eating episodes that include a subjective loss of control but not a large quantity of food. If consumption of a large quantity of food is essential to the underlying pathology of BED, one would expect that OBEs and SBEs would be associated with different clinical characteristics. However, several studies have failed to find significant difference between individuals reporting OBEs and SBEs with regard to age, age of BE onset, BE severity, interpersonal problems, depressive symptoms, generalized psychopathology, and ED-related psychopathology [10–13]. Results regarding prognosis are mixed, with some suggesting that SBE more readily responds to placebo, while others suggest that SBEs are slower to remit than OBEs [11,13,14]. With respect to primary care, this literature suggests that it is not necessary for busy primary care physicians to devote time to understanding the amount of food consumed by the patient; if the patient perceives that her eating is out of control and excessive, that can generally be considered valid data in terms of considering a BED diagnosis, particularly when combined with even moderately overweight status.

In contrast to the controversy regarding amount of food, the majority of studies suggest that BED binge eating episodes fall within the 2-hour duration specified by the DSM-5 criteria, although longer durations have been reported [13]. The loss of control (LOC) criterion also appears to be relatively well-supported across studies [13,14]. LOC is a key defining feature of a binge eating episode for individuals with and without BED [15–18].Furthermore, the emotional distress associated with loss of control has been associated with depressive symptoms, appearance dissatisfaction, and poorer mental health-related quality of life [19]. In contrast, one study found that 18.6% of self-reported binges were not associated with loss of control [20]. Of note, there is some concern that the focus on LOC in the diagnostic criteria may lead to under diagnosis of BED among men, as women with BED were more likely than men to identify LOC as a core aspect of a binge eating episode [17].

The second DSM-5 criterion for BED requires that BE episodes be associated with 3 or more of the following: (a) eating more rapidly than normal; (b) eating until uncomfortably full; (c) eating large amounts of food in the absence of hunger; (d) eating alone because of embarrassment about how much one is eating; and (e) feeling disgusted with oneself, depressed, or very guilty after overeating. This criterion is not as controversial as the first, and has correspondingly not received as much attention in the BED literature. However, results from a handful of studies provide some support for their inclusion, particularly in light of the fact that individuals are only required to endorse 3 of the 5 symptoms [13–15,17,21].

The third criteria for BED requires that individuals experience “marked distress” about BE. Only one known study has directly evaluated the distress criterion, and its validity was confirmed by results that suggested individuals with full-threshold BED had significantly greater ED-related psychopathology and depressive symptoms as compared to individuals who met all but the distress criteria for a BED diagnosis [22].

The fourth criteria for BED stipulates that BE occurs an average of once a week for 3 months. Previously, DSM-IV-TR required more frequent episodes, at least 2 days a week for 6 months, but this was criticized as lacking in empirical basis [23]. The current state of the evidence suggests that, with regard to frequency of BE episodes, BED best fits a continuous model rather than a categorical model. That is, symptoms and related impairment exist across a severity spectrum as a function of how often BE episodes occur. For example, in a critical review, Wilson and Sysko noted that individuals with sub-threshold frequency of BE episodes had less severe psychopathology than those meeting criteria for DSM-IV BE frequency (ie, at least 2 days a week for 6 months), but they were still significantly more impaired than those who did not binge eat [24]. The authors asserted that there was no empirical rationale for preserving the criteria of 2 binge days per week for 6 months, and indeed, DSM-5 adopted a more relaxed standard. As is the case with symptoms of many psychological disorders, there does not appear to be a definitive and concrete point at which binge eating becomes pathological [23]. Fortunately, reliability for the new criteria is good and appears superior to the DSM-IV criteria [25].

Finally, the last criteria for BED—which remains unchanged from the provisional criteria in DSM-IV-TR —is essentially a rule-out that states that BE should not be accompanied by the regular use of “inappropriate compensatory behaviors” or exclusively occur during the course of anorexia or bulimia. These criteria have also been criticized as being subjective, particularly in light of the fact that individuals with BED often report a history of infrequent purging behavior and frequently engage in weight-loss attempts [6,13,14]. However, the need for a rule-out is clear given that BE also occurs during the course of bulimia and anorexia, binge-eating/purging type, and it is supported by the low rates of crossover from BED to bulimia and/or anorexia [26].

Remission and severity specifiers are new to DSM-5. With respect to the latter, a recent study observed small but significant elevations in eating pathology among those with moderate severity BED, relative to the eating pathology experienced by those with mild severity, but there were no differences in level of associated depression. Interestingly, a better differentiator of severity of eating pathology and depression among patients with BED was overvaluation of shape/weight [27]. As such, the primary care physician might be better advised to focus on indicators of this important variable by querying the extent to which the patient’s shape and weight have influenced how she feels about (judges/thinks/evaluates) herself as a person, rather than using the number of BED symptoms alone as the indicator of severity.

• What is the epidemiology of BED?

Based on DSM-IV-TR criteria, the overall lifetime prevalence rate for BED has been reported to be 2.8%, and it is more common in women (3.5%) than men (2%) [28]; the overall 12-month prevalence rate is 1.2% (1.6% in women and 0.8% in men) [28]. Using DSM-5 criteria, a recent study observed that lifetime prevalence of BED by age 20 was 3.0% for BED and an additional 3.6% for subthreshold BED, with peak age of onset (for both) between ages 18 to 20 years [29]. Notably, even though prevalence rates are slightly higher using DSM-5 criteria (presumably, due to the relaxed criteria for frequency and duration of binge eating), effect sizes for impairment are also higher, suggesting that the revised criteria are not identifying BED cases marked by less impairment [29].  Although often thought of as a disorder common among young women, BED prevalence among middle-aged women (40–60 years) has a prevalence of at least 1.5%, with additional subthreshold cases being common in this age-range; groups meeting full BED criteria and subthreshold cases are both characterized by high levels of distress and impairment [30].

Gender Differences

Men engage in overeating as much or more than women but are less likely to endorse a loss of control and/or distress associated with BE [28,31], and thus are less likely to meet full BED criteria. However, when men do meet criteria for BED, they experience as much clinical impairment as their female counterparts [32]. Additionally, men’s BE may be more directly affected by body image dissatisfaction than women’s BE, and although it is associated with negative affect, it is less likely to be associated with interactions between negative affect and dietary restraint than seems to be the case for women [33]. In addition, in the primary care setting, men with BED were strikingly similar to their female counterparts on most historical and developmental variables [33]. However, men reported more frequent strenuous exercise, whereas women reported that onset of overweight and dieting occurred earlier in life [34]. That same study observed that men (57%) were more likely than women with BED (31%) to meet criteria for metabolic syndrome, even after controlling for race and BMI. A second study by the same research group again demonstrated that men with BED are more likely to show elevated blood pressure, triglycerides, and meet criteria for metabolic syndrome, whereas women are more likely to have elevated total cholesterol [35].

Race/Ethnicity

The evidence related to rates of BED among ethnic minorities is equivocal, with some studies demonstrating that Caucasian women are more likely to experience clinical levels of BED symptoms [36,37], others finding comparable rates between Caucasian and African-American women [38,39], and still others discussing the possibility of finding the greatest rates of binge eating in ethnic minority samples [40], especially in light of the high rates of obesity observed in some ethnic minority groups [41,42]. Studies that focus on subclinical levels of eating pathology among undergraduate students are most likely to find significant ethnic differences, while studies of nonclinical samples utilizing diagnostic threshold find the fewest differences [43]. There is at least some research demonstrating the highest rates of body image disturbance or eating problems among Asian Americans [44,45]. In addition, Latino individuals with BED may have higher levels of ED-related psychopathology as compared with Caucasian individuals [46]. Finally, Caucasian individuals who experience BED may be more likely to utilize mental health services as compared with other ethnic groups [47].

Age

Lower rates of BED have been documented in elderly individuals relative to their younger counterparts in population-based studies [28]. However, this may be due to recall bias, birth cohort effects, restricted access to studies, and/or increased medical morbidity leading to premature mortality [48]. Guerdjikova et al [48] also noted that many treatment outcomes studies have exclusion criteria related to age. This is unfortunate, as elderly individuals and their younger counterparts appear to exhibit similar levels of BE behavior, distress due to BE, weight and shape concerns, psychiatric comorbidity, and obesity. However, elderly individuals have reported later onset, longer duration of illness, and less medical morbidity [48]. In another study, Mangweth-Matzek et al [30] surveyed women between the ages of 40 and 60; they found that very few respondents met full criteria for an eating disorder. However, when criteria were relaxed (ie, dropping associated symptomology for BED and frequency criteria for bulimia nervosa) an additional 4.8% of the sample met criteria. Notably, women with subthreshold eating disorders reported very similar levels of comorbid psychopathology as women whose symptoms met diagnostic criteria.

• What tools are available for assessment of BED in the primary care setting?

Two of the most commonly used questionnaires in specialty clinics are the Eating Disorders Examination– Questionnaire (EDE-Q [49]), and the Questionnaire on Eating and Weight Patterns – Revised (QEWP-R [50]). In the primary care setting, both appear to be low-cost and time-efficient methods of screening for BED. The EDE-Q, however, may underestimate frequency of binge eating episodes and overestimate the extent of eating-related pathology [51]. Notably, the QEWP has been revised to reflect DSM-5 criteria and is available free of charge (QEWP-5 [52]). The Binge Eating Scale [53] is a 16-item scale often used to assess severity of binge eating; it is free and easily accessible online. Regardless of what measure is used, research indicates that a higher proportion of people agree to having episodes where they ‘‘lose control over eating’’ than when asked about having episodes of ‘‘binge eating’’ [54], so asking about loss of control over eating might be the more advisable way to open the discussion with patients about their eating behavior. In assessing for binge eating, physicians should also be aware of some of the differences in clinical presentation observed for ethnic minorities (eg, lower drive for thinness among African-American women) as well as some research demonstrating that measures such as the Eating Disorder Diagnostic Scale do not assess equivalent constructs in African-American and Caucasian clients [55]. Finally, while self-report measures often serve a practical function of quickly assessing a large group, physicians may want to consider relying on interview-based techniques for clients with lower levels of education attainment and literacy; at least one study has demonstrated problems with readability and comprehensibility with most BED measures [56].

Suggested interview questions to assess for BED in primary care are presented in Table 2.

• What are the clinical features of BED?

BED and Obesity

The specific impact of BED on health is difficult to separate from the impact of obesity on health, as the two conditions frequently co-occur and are confounded in many studies. Of relevance to the primary care setting, many BED patients report gaining a substantial amount of weight in the year prior to seeking treatment [57].

Although individuals with BED are often obese, proponents of classifying BED as a separate DSM diagnosis argue that individuals with BED differ from their non-BED obese counterparts in regards to eating patterns, eating disordered psychopathology, and associated features and comorbidities. Individuals with BED consume more calories in laboratory studies than weight-matched controls [6,7,58]. In contrast, studies utilizing ecological momentary assessment (ie, real-time assessments) found no differences between BED obese and non-BED obese participants in the frequency of self-reported binge eating and caloric intake during binge eating episodes [59,60]. BED participants, however, were more likely to report higher stress, desire to binge, negative affect, dietary restraint, and being alone immediately before self-reported binge eating episodes. Furthermore, individuals with BED also demonstrate more ED-related psychopathology than non-BED obese individuals [61–63]. Psychiatric comorbidity is also higher among BED obese individuals as compared their non-BED obese counterparts, and the increased comorbidity is accounted for by the severity of binge eating as opposed to the severity of obesity [6,64–67]. In addition, research demonstrates that obese individuals with BED, as compared with non-obese BED patients, have a poorer quality of life [68].

BED and Bulimia Nervosa

Numerous studies have supported the distinction between bulimia nervosa and BED [69–76]. Diagnostically, bulimia nervosa differs from BED by its requirement of recurrent inappropriate compensatory behaviors in order to prevent weight gain, such as self-induced vomiting; misuse of laxatives, diuretics, or other medications; fasting; or excessive exercise [3]. BED and bulimia nervosa are distinguished by distinct risk factors, prevalence, course, and treatment outcomes [28,67,77]. Individuals with BED are less likely than individuals with bulimia to diet before onset of the disorder, and fewer individuals with BED cross over into other ED diagnostic categories [26,78–81]. Finally, BED and bulimia nervosa are associated with different constellations of ED-related symptoms and associated features [28,63,79]. For example, relative to BE patients, those with bulimia show greater work impairment and psychiatric comorbidity [28], higher dietary restraint and eating concerns [63], and lower rates of obesity [79].

Psychiatric Comorbidity

BED is associated with poor social adjustment, greater functional impairment, and significant psychiatric comorbidity, including overall distress and suicidality [67]. In a study of comorbidity with only selected disorders (mood, anxiety, impulse-control, and substance use disorder), 78.9% of individuals with BED had a lifetime history of at least one comorbidity, 20.2% had one comorbid disorder, 9.8% had two, and 48.9% had three or more [28]. Furthermore, the presence of current psychiatric comorbidity is associated with greater ED-related psychopathology and associated distress [40,41]. The most common comorbidities (lifetime rates) are specific phobia (37.1%), social phobia (31.9%), major depressive disorder (32.3%), post-traumatic stress disorder (PTSD) (26.3%), alcohol abuse/dependence (21.4%), conduct disorder (20%), attention-deficit/ hyperactivity disorder (19.8%), illicit drug use/dependence (19.4%), and oppositional-defiant disorder (18%) [28]. A recent report supports that this level of comorbidity is evident in primary care settings, noting that PTSD in particular is common and associated with a host of other difficulties, including depression, anxiety, drug use disorders, greater eating disorder pathology, and poorer psychological functioning [82]. Personality disorders are also commonly comorbid with BED, with the highest lifetime rates for avoidant (11%), obsessive compulsive (10%), and borderline (9%) personality disorders [83]. Finally, cigarette smoking is also associated with binge eating [83,84], likely evolving out of a weight-control smoking profile [85], and this is of relevance to the primary care setting in that smokers with BED gain more weight upon smoking cessation than do their non-BED counterparts [86].

Further Evaluation

To assess behavioral factors related to obesity and recent weight gain, the physician asks the patient if she ever eats what would be considered an unusually large amount of food for the circumstance. The patient acknowledges that she does so regularly, particularly in response to negative moods. The patient also describes that these episodes contribute to ongoing low mood, such that she feels highly depressed and hopeless following binge episodes. The physician then asks about the patient’s exercise habits and weight management techniques. While the patient denies engaging in compensatory behaviors (eg, vomiting, laxative use) to counteract excessive eating, she does report a history of dieting in which she dramatically restricts her food intake and subsequently loses weight. The patient states that these periods are inevitably followed by a resumption of overeating, and she typically gains back more weight than she originally lost. The patient estimates that she has lost and regained more than 20 lb at least 5 times during her lifetime. In addition, the patient reports difficulty maintaining a regular exercise regimen, especially since the onset of osteoarthritis-related joint pain in the past year. After the evaluation, the physician orders an electrocardiogram (ECG) and blood work. The ECG shows that the P-wave, QRS, and T-wave axes are shifted leftward, but within normal limits. A follow-up appointment is scheduled in 2 weeks.

• What are the medical complications of BED?

BED is associated with numerous negative health sequelae including obesity, sleeping problems, musculoskeletal pain, joint pain, headaches, gastrointestinal problems, menstrual problems, shortness of breath, chest pain, diabetes, low health-related quality of life, and functional health impairments [87–90], with many of these risks persisting even after controlling for BMI [91]. A 5-year follow-up of 134 individuals with BED and 134 individuals with no history of eating disorders, who were frequency-matched for age, sex, and baseline body mass index (BMI), provides further support that BED confers risk of components of metabolic syndrome beyond the risks associated with BMI alone [92]. Specifically, BED cases had higher longitudinal risk of developing dyslipidemia, hypertension, type 2 diabetes, any metabolic syndrome component, and two or more metabolic syndrome components. Alarmingly, these findings even emerge in studies of pediatric samples, wherein BED predicts development of metabolic syndrome, elevated triglycerides, and increases in visceral adiposity [93].

• What are risk factors for BED?

A number of risk factors for BED have been identified, although many are risk factors for a number of psychiatric disorders and not specific to BED. These general risk factors include depression/negative affectivity [94,95], parental mood and substance use disorder, maternal problematic parenting, and separation from parents [95]. A host of risk factors have been identified for disordered eating, in general, including body dissatisfaction [94], early onset of dieting [94], and perfectionism [96]. A number of other variables are risk factors for both BED and bulimia (but not anorexia), including a history of childhood bully and teasing, negative self-evaluation, parental depression, and negative family communication about shape and weight [81,96]. In a study comparing BED cases to psychiatric controls, childhood obesity, familial eating problems, family discord, and high parental demands differentiated the BED cases [95]. In summary, it has been suggested that BED risk is conferred by factors that increase risk of psychiatric disorder in general and those that confer risk for obesity [81]. Of note, the risk factors studied do not appear to differ between black and white women [95].

Genetic risk factors appear to play a strong role in the development of BED. Risk for BED tends to aggregate in families independently of the risk for obesity, although the presence of BED in a first-degree relative does increase risk for obesity [97]. Heritability estimates for BED range from 45% to 57% [98,99], which is greater than the heritability estimate for subthreshold binge eating (ie, overeating with a sense of loss of control, 41%) [100]. In addition, symptom-level analyses support moderate genetic contributions for each BED symptom [98], supporting the integrity of the diagnostic criteria. Finally, shared environment appears to play a very small role in the familial transmission of BED, and the contribution of unique environmental factors in development of BED appears to be substantial [97,101].

With regard to the neurobiological underpinnings of BED, it appears that BED may be associated with hypersensitivity to reward, a phenomenon that is strongly associated with the striatum and dopaminergic mechanisms [102,103]. In support of this hypothesis, Davis et al [102] reported that BED was differentially related to genotypes that reflect a greater density of D2 receptors and higher D2 binding potential as compared to obese controls. Additionally, greater increases in striatal DA and unique activation patterns in the right ventral striatum have been demonstrated in individuals with BED as compared to obese non-BED controls in response to food-related stimuli [103,104]. Other findings have implicated the orbitofrontal cortex (OFC) in BED, which is another brain region responsible for reward processing, particularly as it relates to the hedonic value of food stimuli [103]. Increased volume of grey matter has been documented in individuals with BED and bulimia as compared to normal weight controls, and stronger medial OFC activation while viewing pictures of food was observed in individuals with BED as compared to individuals with bulimia, overweight controls, and normal controls [105].

Difficulties with affect regulation have also been implicated in the development of BED. Two theories that implicate a primary and specific role for affect regulation in BED are cited most frequently in the extant literature: the affect regulation theory and the escape theory. The affect regulation theory [106] posits that BE is a conditioned response to negative affect which is correspondingly negatively reinforced by reductions in negative affect, which could occur during or after BE. Escape theory [107] posits that aversive self-awareness causes negative affect, which in turn triggers BE. BE is then negatively reinforced by reductions in negative affect during a binge via an escape from self-awareness that is accomplished through cognitive narrowing to the immediate stimulus environment. In contrast to the affect regulation theory, escape theory predicts that negative affect will increase after BE when self-awareness is restored. Results regarding changes in affect during BE episodes are conflicting as to whether BE is associated with decreases, no change [108–110], or even increases in negative affect. In particular, a meta-analytic review of 36 studies that examined affect via ecological momentary sampling found moderate increases in negative affect following binge episodes [111]. To some degree, results of this meta-analysis may not generalize to BED, per se, given that it included other binge eating groups, such as those with bulimia nervosa. However, in general, studies suggest that negative affect is an antecedent for BE and increased negative affect may be a consequence of BE, at least among women. More information is needed regarding aversive self-awareness before and after BE, cognitive narrowing, and changes in affect during BE. As such, the current state of the literature provides only partial support for affect regulation models of BED in women. Furthermore, it remains unknown if these results will generalize to men.

Clinical Course

Evidence regarding the course and stability of BED is conflicting and unclear. Several prospective studies have suggested that BED is not a stable disorder, exhibiting high rates of remission over time [26,99,112]. However, the samples have been criticized for being small, completely female, younger than typical individuals with BED, and post-ED treatment. In contrast, a prospective study that included older women and a combination of treated and untreated women suggested remission rates at 1 year that were much lower (7%) [78]. Additionally, a retrospective study [113] reported an average BED duration of 14.4 years. In a review of the studies cited above, Wonderlich et al [6] concluded that “[a]lthough there is variability in the data, it does appear that BED differs from other eating disorders in terms of a greater tendency toward recovery and fluctuation, although this may be embedded in a chronic pattern of remission and relapse.” Viewing BED as a disorder with a chronic pattern of remission and relapse could explain why individuals with BED retrospectively report a longer duration of illness, as they may be more likely to conceptualize their illness as one continuous course punctuated by different periods of severity rather than several distinct bouts of BED. Finally, although diagnostic crossover is a frequent phenomenon among other eating disorders, the crossover rate for BED appears relatively low as compared to anorexia and bulimia [6,26,28,66].

Follow-up

Laboratory examination shows TSH levels within normal limits and cholesterol levels of 48 mg/dL(HDL), 162 mg/dL (LDL), and 270 mg/dL (total). Triglyceride levels are 300 mg/dL and the patient’s fasting glucose level is 115 mg/dL. At the patient’s follow-up appointment, the physician states that a number of laboratory results indicated negative weight-related health consequences, including high cholesterol, high triglycerides, hypertension, and probable pre-diabetes. The patient initially disregards the significance of these results, stating she only gained weight due to her break-up and quitting smoking, and she is motivated to diet to lose weight in the near future. The physician asks for more information about the patient’s eating behavior, in particular asking if she ever feels as if she loses control over her eating. The patient reluctantly admits to this, and the physician provides a referral to a behavioral health specialist. The patient expresses ambivalence and a desire to try to manage her weight on her own. The physician uses motivational interviewing techniques to enhance motivation to follow up on this referral. In addition, the patient is encouraged to make small changes to her diet and slowly increase her exercise by taking walks. Another follow-up appointment is scheduled in 3 months.

• Which treatments are most effective for BED?

Despite the negative sequalae of BED, studies suggest that it often goes untreated [114]. Women with BED, as compared to women with anorexia and bulimia, are less likely to seek treatment for BED and less likely to receive treatment for their eating disorder when they do seek it out [114–116]. Barriers to treatment may include shame and internalized weight stigma, lack of knowledge about where to seek treatment, a belief that willpower should be sufficient to overcome the problem, lack of understanding that BED is a psychiatric disorder, finances/insurance barriers, and lack of BED detection by non-specialist treatment providers [115]. These barriers are particularly concerning, as women with BED report greater health care utilization and comprise a large segment of patients in weight control programs. Therefore, it appears individuals with BED seek help for the negative consequences of the disorder, but they are less likely to seek and receive help for the likely root cause of their concerns. This is a particularly damaging pattern, as the presence of BED may negatively impact the outcome of obesity treatment [117]. There are, however, a number of promising treatments for BED, as described below:

Cognitive Behavioral Therapy

Cognitive behavioral therapy (CBT) is generally considered to be the most well-established and empirically supported treatment for BED [118,119]. The cognitive behavioral conceptualization of BED is based on Fairburn, Cooper, and Shafran’s [120] transdiagnostic model of eating disorders (CBT-E), which is an expanded version of the cognitive behavioral model of bulimia nervosa [121]. CBT-E posits that the core pathology in eating disorders is a dysfunctional system in which self-worth is based on eating habits, shape, or weight, and the individual’s ability to control them. Attempts to maintain self-worth by controlling eating, shape, and weight result in extreme and brittle forms of dietary restraint. Inevitable violations of the individual’s dietary rules are then interpreted as lack of self-control, leading to a temporary abandonment of dietary restraint and consequent BE. These dietary slips and corresponding BE often occur in response to acute changes in mood, and BE is thus negatively reinforced by “neutralizing” negative mood states. Lapses in dietary restraint also result in secondary negative self-evaluation, which serves to further exacerbate a cycle of increased dietary restraint to improve self-worth and then inevitable dietary lapses leading to BE. CBT-E expanded upon CBT-BN by postulating 4 processes that maintain ED: severe perfectionism (clinical perfectionism), unconditional and pervasive low self-esteem (core low self-esteem), difficulties coping with intense mood states (mood intolerance), and developmental interpersonal difficulties (interpersonal difficulties). Of note, the CBT-E model explicitly states that individuals may differ in the extent to which they experience the 4 maintaining processes and not every individual will experience all four.

Overall, treatment is focused on normalizing eating patterns (ie, not weight loss), cognitive restructuring for weight/shape concerns and other triggers for binge eating, and relapse prevention [122]. CBT has produced substantial reductions in binge eating as compared to no treatment [123–125] and supportive therapy [126]. The majority of RCTs have reported remission rates greater than 50% [127]. Unfortunately, CBT has generally not produced meaningful weight loss [118,122,127–129], but this may be a contraindicated goal. CBT has demonstrated improvements in a number of features associated with BED including eating disordered psychopathology [122,124,130,131], depression [122,124,130,132], social adjustment [133], and self-esteem [132]. Treatment gains are generally well-maintained at 1-year to 4-year follow-up [122,123,130,133,134]. Individual and group treatments appear to produce similar results [134], and treatment completion rates have been estimated at approximately 80% across different delivery formats [127]. One strength of the CBT literature is the inclusion of participants with severe psychopathology, which facilitates the generalizability of these findings [127].

A number of factors have been associated with treatment outcome in CBT trials. Poor treatment outcomes have been associated with a history of weight problems during childhood, high levels of emotional eating at baseline, interpersonal dysfunction, and low group cohesion during group CBT [110,124,134]. Overvaluation of weight and shape demonstrated a statistical trend toward negatively impacting outcomes in one study. The presence of a cluster B personality disorder (ie, borderline histrionic, antisocial, and narcissistic personality disorders) predicted higher levels of binge eating at 1-year follow-up in a combined sample of participants treated with group CBT or group interpersonal psychotherapy (IPT) [135].

Alternatively, positive treatment outcomes have been associated with low levels of emotional eating at baseline, older age of onset, weight loss history that is negative for amphetamine use, and decreases in depressive symptoms during treatment [124,134,136,137]. In addition, early response to treatment (defined as a 65%–70% reduction in binge eating within 4 weeks of starting treatment) tends to be associated with greater long-term (ie, 1–2 year) remission from BED and lower eating disorder psychopathology, across a variety of psychological treatment approaches [138–144].

Interpersonal Psychotherapy

IPT for BED was adapted by Wilfley and colleagues [145] from IPT for depression, and the rationale for its use with BED is based on successful outcomes for individuals with bulimia and multiple studies documenting interpersonal deficits in individuals with BED [146]. IPT seeks to address interpersonal problems in 4 areas: interpersonal conflict, grief, role transitions, and interpersonal deficits [135]. While adapting IPT for BED, it was noted that the course of BED tends to be more chronic than the course of depression, thus the focus of IPT for BED was shifted from addressing the interpersonal precipitants of the disorder to the interpersonal factors that maintain the disorder [145]. Fewer studies examining the effectiveness of IPT in treating BED have been published than those examining CBT for BED, but it appears that IPT is as efficacious as CBT immediately post-treatment [130], and at 1- [130] and 4-year follow-up [147]. In addition, at least 2 studies have been published that compare IPT, cognitive behavioral therapy–guided self-help (CBTgsh), and behavioral weight loss [133,141]. Overall, results support the use of both IPT and CBTgsh (discussed in more detail below), with important moderators of treatment effects observed. For example, Wilson et al [133] found that clients with higher levels of psychopathology were better suited for IPT. The authors conclude that these results could inform a model of evidence-based stepped care, where CBTgsh, a low-cost, low-intensity treatment, should be considered as the first line of treatment. Secondarily, IPT, which represents a more specialized and expensive form of treatment, could be considered the next level of care, particularly for clients who are not demonstrating rapid improvement in response to CBTgsh.

Dialectic Behavior Therapy

A small number of studies have investigated the treatment of BED with dialectical behavior therapy (DBT). Originally developed to treat borderline personality disorder [148], DBT is of particular interest given its explicit targeting of emotion regulation. According to the DBT model of BED [149], emotional dysregulation is the core psychopathology in this disorder, and binge eating is viewed as attempts to influence, change, or control painful emotions. Initially, promising results were published showing positive treatment effects in an uncontrolled study [150] as well as wait-list controlled trials [151]. Notably, relative to wait-list controls, participants in a DBT guided self-help program (who received an orientation, DBT manual, and six 20-minute support calls across 13 weeks) reported reduced past-month binge eating, higher binge eating abstinence rates, and over the longer term improved quality of life and reductions in ED psychopathology. However, a comparison of DBT-BED with an active comparison control group (ie, nonspecific supportive therapy) failed to find significant differences between the 2 treatments (defined as effect size greater than 0.5) at 12-month follow-up in binge eating abstinence, binge eating frequency, most ED-related psychopathology, positive affect, depression, and self-esteem [152]. Therefore, DBT may have potential and, at a minimum, is equally efficacious as supportive therapy.

Mindfulness- and Meditation-Based Therapies

Treatment outcome studies utilizing mindfulness-based therapies, including mindfulness-based stress reduction (MBSR) and acceptance and commitment therapy (ACT), make up a small but promising body of literature. Reasoning that negative affect, eating in the absence of hunger, and emotional eating may comprise one pathway to binge eating [153,154], it follows that mindfulness-based therapies may act through their effects on emotion regulation, acceptance strategies for tolerating negative affect, and awareness of bodily cues. A recent review identified 19 studies exploring the effects of mindfulness-based interventions on binge eating severity and frequency as well as a number of related indicators, observing positive effects for this form of treatment [155]. For example, MB-EAT [156] is a group treatment for BED that is primarily based on MBSR. Treatment is targeted at cultivating mindfulness, mindful eating, emotional balance, and self-acceptance[157]. The treatment also places particular emphasis on developing self-awareness of internal hunger and satiety cues. A recent randomized controlled trial of MB-EAT produced significant improvements in binge eating frequency and BE-related psychopathology [158]. Furthermore, process variables including hunger awareness, satiety awareness, and mindfulness were correlated with positive outcomes. In addition, a small study (n = 39) that compared ACT to standard follow-up utilized by a bariatric surgery team demonstrated significantly greater improvements in disordered eating, body satisfaction, and quality of life for clients who participated in ACT [159]. In brief, results suggest that mindfulness-based interventions represent an additional treatment approach with supporting but limited evidence to date.

Self-Help Interventions

Self-help interventions for BED are categorized as pure self-help or guided self-help. In treatment outcome studies, pure self-help is generally conducted with a self-help manual, although several studies have examined more novel formats such as the internet, video, and CD-ROM. GSH also uses a self-help manual (or other format) with the addition of brief sessions with health care providers who have varying degrees of expertise with the type of therapy being utilized. CBT is the most commonly utilized therapeutic modality in treatment outcome studies of self-help interventions, and they most often utilize Fairburn’s Overcoming Binge Eating self-help manual [160].

Two studies have directly compared pure and guided self-help with Fairburn’s manual and produced conflicting results. Carter and Fairburn [161] found that in a sample of primarily white women with BED, pure self-help (CBTsh; n = 24) and guided self-help (CBTgsh; n = 24) were equally effective, and both were superior to wait-list controls at 6-month follow-up in producing BE abstinence (CBTsh = 40%, CBTgsh = 50%), reducing binge eating, ED-related psychopathology, and general psychiatric symptoms. In contrast, a study comparing CBTsh and CBTgsh in 40 primarily white women with recurrent binge eating (82.5% diagnosed with BED), guided self-help was superior to pure self-help at the end of treatment in reducing BE frequency, eating concern, and restraint [162]. CBTgsh and CBTsh were equally effective in producing BE abstinence (50% and 30%, respectively), and reducing shape concern, weight concern, and general psychiatric symptoms [162]. Higher levels of general psychiatric symptoms were predictive of higher BE frequency post-treatment for both treatments. It should be noted that participants in both conditions experienced statistically significant improvements on all variables as compared to baseline.

CBTgsh also performed as well or better than individualized treatments in one study [133]. CBTgsh, IPT, and behavioral weight loss (BWL) were compared in a large study of 205 primarily white, obese or overweight individuals diagnosed with BED. The 3 treatments produced equivalent outcomes for binge eating at post-treatment, but BWL produced significantly greater weight loss. However, at 2-year follow-up, the CBTgsh and IPT groups had maintained treatment gains and were significantly superior to BWL in reductions in binge eating. The 3 groups were equivalent with regard to weight loss at the 2-year follow-up, and none reported clinically significant weight loss. Of note, as compared to the IPT and BWL groups, the CBTgsh group received 10 sessions as opposed to 20, received 25-minute sessions as opposed to 60-minute sessions, and were treated by providers with limited levels of experience as opposed to doctoral-level clinical psychologists.

To summarize, CBT is the most often studied type of self-help treatment. Both CBTsh and CBTgsh produced improvements in binge eating and associated psychopathology as compared to baseline and wait-list controls, and treatment gains were maintained at 6-month follow-up. Conclusions regarding the relative superiority of pure self-help or guided self-help are premature given the small number of studies and conflicting results.

In addition, limited information is available regarding moderators and predictors of guided self-help outcomes. Masheb and Grilo [163] performed a cluster analysis of the sample for the CBTgsh vs. BWLgsh described above [164] and identified 2 clinically significant subtypes: a dietary-negative affect subtype characterized by high restraint, low self-esteem, and depressive symptoms; and an overvaluation of weight and shape subtype. For both the CBTgsh and BWLgsh groups, the dietary-negative affect subtype experienced higher levels of binge eating frequency, and the overvaluation of weight and shape subtype experienced higher levels of ED-related psychopathology. Additionally, individuals receiving BWLgsh who experienced a rapid response to treatment reported lower BE frequency, greater weight loss, and higher restraint than participants without a rapid response [142]. In contrast, rapid response did not appear to affect outcomes for CBTgsh participants. Finally, the combination of low self-esteem and high ED-related psychopathology negatively affected BE remission rates for CBTgsh recipients [133].

Pharmacologic Treatment

Currently only one medication, lisdexamfetamine dimesylate, has been FDA-approved for the treatment of BED. Previously approved for treating both adults and children with attention-deficit hyperactivity disorder, lisdexamfetamine dimesylate is a central nervous system stimulant and has been found to significantly reduce number of binge days, with robust effect sizes [165]. Beyond this medication, the evidence for pharmacologic treatment of BED is limited. A recent review identified only 22 studies exploring the effects of pharmacologic treatment in a methodologically rigorous way (eg, double-blind placebo design) [4]. To date, a number of different medication classes have been evaluated, including antidepressants, anticonvulsants, stimulants, anti-obesity drugs, and others. Overall, there is some evidence that antidepressant and anticonvulsant agents are efficacious at reducing BE frequency [166,167] and sometimes effective regarding statistically significant weight loss [168,169]. However, the majority of results are generally disappointing, both with respect to reductions in binge eating and sustained weight loss [48,170,171]. In addition, there are serious limitations in the literature that must be considered, including the limited number of studies that address the high placebo response observed in clinical samples, limited follow-up windows, and inadequate multiplicitious confirmatory trials. Despite these limitations, the evidence base related to pharmacologic treatment is continuously evolving and represents an important future direction for the treatment of BED.

Treatment

Prior to her next medical follow-up, the patient meets with a psychologist. The patient discloses that she has been binge eating several times per week for over a year; she also discloses a history of prolonged sexual abuse perpetrated by a step-parent during her childhood. When the patient returns to her follow-up medical appointment, she reports that her psychologist has diagnosed her with BED and PTSD. She states that they are using cognitive behavioral techniques to regulate her mood and eating behavior, with a specific aim of avoiding excessive dietary restraint. In addition, they are working together to discuss her unfulfilling romantic history and processing her experiences of trauma. Since her last appointment with the primary care physician, she reports an increased awareness of her eating habits, improvement in mood, and a 10-lb decrease in her weight.

The patient reports that she has continued to meet weekly with her psychologist and has slowly begun reintroducing low-impact exercise to her routine. She continues to lose weight gradually, but with a priority of stabilizing eating behavior and avoiding binge episodes versus aiming for weight loss. She reports that her mood has stabilized. Her cholesterol and triglycerides remain high, but her blood pressure is controlled effectively with medication. Her physician recommends continued psychological treatment, periodic meetings with a nutritionist, and prescribes medication for her cholesterol. A follow-up appointment with her physician is scheduled in 6 months.

Summary

BED is the most common eating disorder, but one for which many do not seek treatment directly, instead presenting to primary care for a host of comorbid psychiatric and medical conditions. Proper screening and referral in the primary care setting can optimize the likelihood of patients’ obtaining empirically supported treatments with coordinated care between primary care and behavioral health providers. Some sources for information for patients and providers are listed in Table 3. As the literature does not yet overwhelmingly support a particular treatment modality over another, the primary care physician should support patient preferences amongst the options reviewed above. Given that a large body of literature supports the use of motivational interviewing strategies [172,173] to optimize the likelihood of engaging in a wide range of health behaviors in the primary care setting, reliance on such strategies to promote engagement in BED treatment is highly recommended.

 

Corresponding author: Karen K. Saules, PhD, Eastern Michigan University, Psychology Clinic, 611 W. Cross St., Ypsilanti, MI 48197, ksaules@emich.edu

Financial disclosures: None.

From the Department of Psychology, Eastern Michigan University, Ypsilanti, MI.

 

Abstract

  • Objective: To describe the epidemiology, clinical features, clinical course, medical complications, and treatment of binge-eating disorder (BED).
  • Methods: Review of the literature.
  • Results: BED, the most common eating disorder, is a distinct pattern of binge eating accompanied by a sense of loss of control over eating without inappropriate compensatory behaviors. Because people with BED more commonly seek treatment for the psychological and medical factors that are associated with the disorder, patients’ first point of contact with the medical profession is likely to be the primary care physician (PCP). The PCP’s role includes making efforts to screen for BED symptoms, employing motivational interviewing strategies to enhance likelihood of following through with treatment, providing psychoeducational information about eating and weight control, monitoring eating, weight, and related medical problems at follow-up visits, and making referrals to behavioral health specialists who can deliver empirically supported treatments for BED.
  • Conclusion: Proper screening and referral in the primary care setting can optimize the likelihood that  patients obtain empirically supported treatment.

 

 

Binge-eating disorder (BED), first described by Stunkard in the 1950s, is a distinct pattern of binge eating, accompanied by a sense of loss of control over eating without inappropriate compensatory behaviors [1]. It was not until the publication of DSM-IV-TR [2] that BED received systematic study as a separate diagnostic category, when it was included in the appendix Criteria Sets and Axes Provided for Further Study. Until recently, individuals reporting binge eating without recurrent compensatory behavior were diagnosed with an eating disorder not otherwise specified. More recently, the American Psychiatric Association approved BED for inclusion in DSM-5 as its own category of eating disorder [3]. The diagnostic criteria for BED are delineated in Table 1. In contrast to BED, bulimia nervosa is a longstanding diagnostic category that refers to recurrent episodes of binge eating, accompanied by a sense of loss of control over eating and recurrent inappropriate compensatory behaviors to prevent weight gain (eg, self-induced vomiting, misuse of laxatives or diuretics, fasting)

BED is the most common eating disorder, but it is one for which many do not seek treatment directly. Rather, those struggling with BED more commonly seek treatment for the psychological and medical factors that are strongly associated with the disorder. As will be reviewed below, these factors include poor social adjustment, functional impairment, psychological distress and psychiatric comorbidity, and myriad medical sequelae due to obesity and weight cycling. As such, the BED patient’s point of first contact with the medical profession is most likely to be with the primary care physician, who has several roles in the treatment of BED. There is a limited evidence base for pharmacological treatment of BED, with some medications yielding short-term reductions in binge eating, but none with strong support for long-term efficacy [4]. However, with the recent FDA approval of lisdexamfetamine dimesylate for the treatment of moderate to severe BED, this picture may change. Nonetheless, pharmacologic interventions for comorbid medical conditions will fall solidly in the bailiwick of the primary care physician. In addition, the primary care physician’s role includes making efforts to screen for BED symptoms; employing motivational interviewing strategies to enhance likelihood of following through with treatment; providing psychoeducational information about eating and weight control; monitoring eating, weight, and related medical problems at follow-up visits; and making referrals to behavioral health specialists who can deliver empirically supported treatments for BED. Finally, because BED is typically associated with weight gain over time [5], the primary care physician is encouraged to reinforce the clinical significance of weight maintenance as opposed to necessarily promoting a goal of weight loss. The rationale for this primary care approach is reviewed below, in consideration of the scientific literature and a case study highlighting common clinical features.

Case Study

Initial Presentation

A 35-year-old Caucasian woman schedules an appointment for her annual physical examination with her primary care physician. She reports generally good health but complains of low mood, joint pain, and difficulties managing her weight. Her blood pressure is managed with 100 mg/day of metoprolol. The only other medication she takes is birth control (ethinyl estradiol 20 mcg).

Physical Examination

During physical examination, it is determined that the patient is 5'6" and weighs 286 lb, with a body mass index (BMI) of 46.2 kg/m2, placing her in WHO obesity class III. The patient’s blood pressure is 130/85 mm Hg (medically managed), and her heart rate is 83 bpm. The patient states that she has been experiencing episodes of low mood off and on most of her life; she recently ended a relationship, which has exacerbated her symptoms. The physician states that the patient has gained a significant amount of weight since her last physical examination. The patient reports that she quit smoking 6 months ago and has since gained approximately 30 lb; she has considered smoking again to manage her weight.

• What are the diagnostic criteria for BED?

BED diagnostic criteria (Table 1) have been closely examined for their validity and clinical utility, and several have been the subject of intense debate in the BED literature. The first BED criterion, recurrent episodes of binge eating, refers to 3 essential components: amount of food, time period, and a subjective experience of loss of control. The majority of debate regarding this criterion revolves around the requirement for consumption of a “large amount of food.” There are 2 primary arguments against this criterion. First, it is inherently subjective and requires the person making the diagnosis to distinguish between normative food intake and excessive food intake [6]. There is also some debate as to whether or not individuals with BED actually consume large amounts of food when they binge. However, research supports that those with BED may consume over 1000 kcal during binge episodes, far more than those without BED who are asked to binge eat in the lab [7,8].

Nonetheless, a distinction has been made between objective binge-eating episodes (OBE) and subjective binge eating episodes (SBE) [9]. OBEs are binge eating episodes that meet the full criteria including a large amount of food and a subjective loss of control. SBEs, in contrast, are binge eating episodes that include a subjective loss of control but not a large quantity of food. If consumption of a large quantity of food is essential to the underlying pathology of BED, one would expect that OBEs and SBEs would be associated with different clinical characteristics. However, several studies have failed to find significant difference between individuals reporting OBEs and SBEs with regard to age, age of BE onset, BE severity, interpersonal problems, depressive symptoms, generalized psychopathology, and ED-related psychopathology [10–13]. Results regarding prognosis are mixed, with some suggesting that SBE more readily responds to placebo, while others suggest that SBEs are slower to remit than OBEs [11,13,14]. With respect to primary care, this literature suggests that it is not necessary for busy primary care physicians to devote time to understanding the amount of food consumed by the patient; if the patient perceives that her eating is out of control and excessive, that can generally be considered valid data in terms of considering a BED diagnosis, particularly when combined with even moderately overweight status.

In contrast to the controversy regarding amount of food, the majority of studies suggest that BED binge eating episodes fall within the 2-hour duration specified by the DSM-5 criteria, although longer durations have been reported [13]. The loss of control (LOC) criterion also appears to be relatively well-supported across studies [13,14]. LOC is a key defining feature of a binge eating episode for individuals with and without BED [15–18].Furthermore, the emotional distress associated with loss of control has been associated with depressive symptoms, appearance dissatisfaction, and poorer mental health-related quality of life [19]. In contrast, one study found that 18.6% of self-reported binges were not associated with loss of control [20]. Of note, there is some concern that the focus on LOC in the diagnostic criteria may lead to under diagnosis of BED among men, as women with BED were more likely than men to identify LOC as a core aspect of a binge eating episode [17].

The second DSM-5 criterion for BED requires that BE episodes be associated with 3 or more of the following: (a) eating more rapidly than normal; (b) eating until uncomfortably full; (c) eating large amounts of food in the absence of hunger; (d) eating alone because of embarrassment about how much one is eating; and (e) feeling disgusted with oneself, depressed, or very guilty after overeating. This criterion is not as controversial as the first, and has correspondingly not received as much attention in the BED literature. However, results from a handful of studies provide some support for their inclusion, particularly in light of the fact that individuals are only required to endorse 3 of the 5 symptoms [13–15,17,21].

The third criteria for BED requires that individuals experience “marked distress” about BE. Only one known study has directly evaluated the distress criterion, and its validity was confirmed by results that suggested individuals with full-threshold BED had significantly greater ED-related psychopathology and depressive symptoms as compared to individuals who met all but the distress criteria for a BED diagnosis [22].

The fourth criteria for BED stipulates that BE occurs an average of once a week for 3 months. Previously, DSM-IV-TR required more frequent episodes, at least 2 days a week for 6 months, but this was criticized as lacking in empirical basis [23]. The current state of the evidence suggests that, with regard to frequency of BE episodes, BED best fits a continuous model rather than a categorical model. That is, symptoms and related impairment exist across a severity spectrum as a function of how often BE episodes occur. For example, in a critical review, Wilson and Sysko noted that individuals with sub-threshold frequency of BE episodes had less severe psychopathology than those meeting criteria for DSM-IV BE frequency (ie, at least 2 days a week for 6 months), but they were still significantly more impaired than those who did not binge eat [24]. The authors asserted that there was no empirical rationale for preserving the criteria of 2 binge days per week for 6 months, and indeed, DSM-5 adopted a more relaxed standard. As is the case with symptoms of many psychological disorders, there does not appear to be a definitive and concrete point at which binge eating becomes pathological [23]. Fortunately, reliability for the new criteria is good and appears superior to the DSM-IV criteria [25].

Finally, the last criteria for BED—which remains unchanged from the provisional criteria in DSM-IV-TR —is essentially a rule-out that states that BE should not be accompanied by the regular use of “inappropriate compensatory behaviors” or exclusively occur during the course of anorexia or bulimia. These criteria have also been criticized as being subjective, particularly in light of the fact that individuals with BED often report a history of infrequent purging behavior and frequently engage in weight-loss attempts [6,13,14]. However, the need for a rule-out is clear given that BE also occurs during the course of bulimia and anorexia, binge-eating/purging type, and it is supported by the low rates of crossover from BED to bulimia and/or anorexia [26].

Remission and severity specifiers are new to DSM-5. With respect to the latter, a recent study observed small but significant elevations in eating pathology among those with moderate severity BED, relative to the eating pathology experienced by those with mild severity, but there were no differences in level of associated depression. Interestingly, a better differentiator of severity of eating pathology and depression among patients with BED was overvaluation of shape/weight [27]. As such, the primary care physician might be better advised to focus on indicators of this important variable by querying the extent to which the patient’s shape and weight have influenced how she feels about (judges/thinks/evaluates) herself as a person, rather than using the number of BED symptoms alone as the indicator of severity.

• What is the epidemiology of BED?

Based on DSM-IV-TR criteria, the overall lifetime prevalence rate for BED has been reported to be 2.8%, and it is more common in women (3.5%) than men (2%) [28]; the overall 12-month prevalence rate is 1.2% (1.6% in women and 0.8% in men) [28]. Using DSM-5 criteria, a recent study observed that lifetime prevalence of BED by age 20 was 3.0% for BED and an additional 3.6% for subthreshold BED, with peak age of onset (for both) between ages 18 to 20 years [29]. Notably, even though prevalence rates are slightly higher using DSM-5 criteria (presumably, due to the relaxed criteria for frequency and duration of binge eating), effect sizes for impairment are also higher, suggesting that the revised criteria are not identifying BED cases marked by less impairment [29].  Although often thought of as a disorder common among young women, BED prevalence among middle-aged women (40–60 years) has a prevalence of at least 1.5%, with additional subthreshold cases being common in this age-range; groups meeting full BED criteria and subthreshold cases are both characterized by high levels of distress and impairment [30].

Gender Differences

Men engage in overeating as much or more than women but are less likely to endorse a loss of control and/or distress associated with BE [28,31], and thus are less likely to meet full BED criteria. However, when men do meet criteria for BED, they experience as much clinical impairment as their female counterparts [32]. Additionally, men’s BE may be more directly affected by body image dissatisfaction than women’s BE, and although it is associated with negative affect, it is less likely to be associated with interactions between negative affect and dietary restraint than seems to be the case for women [33]. In addition, in the primary care setting, men with BED were strikingly similar to their female counterparts on most historical and developmental variables [33]. However, men reported more frequent strenuous exercise, whereas women reported that onset of overweight and dieting occurred earlier in life [34]. That same study observed that men (57%) were more likely than women with BED (31%) to meet criteria for metabolic syndrome, even after controlling for race and BMI. A second study by the same research group again demonstrated that men with BED are more likely to show elevated blood pressure, triglycerides, and meet criteria for metabolic syndrome, whereas women are more likely to have elevated total cholesterol [35].

Race/Ethnicity

The evidence related to rates of BED among ethnic minorities is equivocal, with some studies demonstrating that Caucasian women are more likely to experience clinical levels of BED symptoms [36,37], others finding comparable rates between Caucasian and African-American women [38,39], and still others discussing the possibility of finding the greatest rates of binge eating in ethnic minority samples [40], especially in light of the high rates of obesity observed in some ethnic minority groups [41,42]. Studies that focus on subclinical levels of eating pathology among undergraduate students are most likely to find significant ethnic differences, while studies of nonclinical samples utilizing diagnostic threshold find the fewest differences [43]. There is at least some research demonstrating the highest rates of body image disturbance or eating problems among Asian Americans [44,45]. In addition, Latino individuals with BED may have higher levels of ED-related psychopathology as compared with Caucasian individuals [46]. Finally, Caucasian individuals who experience BED may be more likely to utilize mental health services as compared with other ethnic groups [47].

Age

Lower rates of BED have been documented in elderly individuals relative to their younger counterparts in population-based studies [28]. However, this may be due to recall bias, birth cohort effects, restricted access to studies, and/or increased medical morbidity leading to premature mortality [48]. Guerdjikova et al [48] also noted that many treatment outcomes studies have exclusion criteria related to age. This is unfortunate, as elderly individuals and their younger counterparts appear to exhibit similar levels of BE behavior, distress due to BE, weight and shape concerns, psychiatric comorbidity, and obesity. However, elderly individuals have reported later onset, longer duration of illness, and less medical morbidity [48]. In another study, Mangweth-Matzek et al [30] surveyed women between the ages of 40 and 60; they found that very few respondents met full criteria for an eating disorder. However, when criteria were relaxed (ie, dropping associated symptomology for BED and frequency criteria for bulimia nervosa) an additional 4.8% of the sample met criteria. Notably, women with subthreshold eating disorders reported very similar levels of comorbid psychopathology as women whose symptoms met diagnostic criteria.

• What tools are available for assessment of BED in the primary care setting?

Two of the most commonly used questionnaires in specialty clinics are the Eating Disorders Examination– Questionnaire (EDE-Q [49]), and the Questionnaire on Eating and Weight Patterns – Revised (QEWP-R [50]). In the primary care setting, both appear to be low-cost and time-efficient methods of screening for BED. The EDE-Q, however, may underestimate frequency of binge eating episodes and overestimate the extent of eating-related pathology [51]. Notably, the QEWP has been revised to reflect DSM-5 criteria and is available free of charge (QEWP-5 [52]). The Binge Eating Scale [53] is a 16-item scale often used to assess severity of binge eating; it is free and easily accessible online. Regardless of what measure is used, research indicates that a higher proportion of people agree to having episodes where they ‘‘lose control over eating’’ than when asked about having episodes of ‘‘binge eating’’ [54], so asking about loss of control over eating might be the more advisable way to open the discussion with patients about their eating behavior. In assessing for binge eating, physicians should also be aware of some of the differences in clinical presentation observed for ethnic minorities (eg, lower drive for thinness among African-American women) as well as some research demonstrating that measures such as the Eating Disorder Diagnostic Scale do not assess equivalent constructs in African-American and Caucasian clients [55]. Finally, while self-report measures often serve a practical function of quickly assessing a large group, physicians may want to consider relying on interview-based techniques for clients with lower levels of education attainment and literacy; at least one study has demonstrated problems with readability and comprehensibility with most BED measures [56].

Suggested interview questions to assess for BED in primary care are presented in Table 2.

• What are the clinical features of BED?

BED and Obesity

The specific impact of BED on health is difficult to separate from the impact of obesity on health, as the two conditions frequently co-occur and are confounded in many studies. Of relevance to the primary care setting, many BED patients report gaining a substantial amount of weight in the year prior to seeking treatment [57].

Although individuals with BED are often obese, proponents of classifying BED as a separate DSM diagnosis argue that individuals with BED differ from their non-BED obese counterparts in regards to eating patterns, eating disordered psychopathology, and associated features and comorbidities. Individuals with BED consume more calories in laboratory studies than weight-matched controls [6,7,58]. In contrast, studies utilizing ecological momentary assessment (ie, real-time assessments) found no differences between BED obese and non-BED obese participants in the frequency of self-reported binge eating and caloric intake during binge eating episodes [59,60]. BED participants, however, were more likely to report higher stress, desire to binge, negative affect, dietary restraint, and being alone immediately before self-reported binge eating episodes. Furthermore, individuals with BED also demonstrate more ED-related psychopathology than non-BED obese individuals [61–63]. Psychiatric comorbidity is also higher among BED obese individuals as compared their non-BED obese counterparts, and the increased comorbidity is accounted for by the severity of binge eating as opposed to the severity of obesity [6,64–67]. In addition, research demonstrates that obese individuals with BED, as compared with non-obese BED patients, have a poorer quality of life [68].

BED and Bulimia Nervosa

Numerous studies have supported the distinction between bulimia nervosa and BED [69–76]. Diagnostically, bulimia nervosa differs from BED by its requirement of recurrent inappropriate compensatory behaviors in order to prevent weight gain, such as self-induced vomiting; misuse of laxatives, diuretics, or other medications; fasting; or excessive exercise [3]. BED and bulimia nervosa are distinguished by distinct risk factors, prevalence, course, and treatment outcomes [28,67,77]. Individuals with BED are less likely than individuals with bulimia to diet before onset of the disorder, and fewer individuals with BED cross over into other ED diagnostic categories [26,78–81]. Finally, BED and bulimia nervosa are associated with different constellations of ED-related symptoms and associated features [28,63,79]. For example, relative to BE patients, those with bulimia show greater work impairment and psychiatric comorbidity [28], higher dietary restraint and eating concerns [63], and lower rates of obesity [79].

Psychiatric Comorbidity

BED is associated with poor social adjustment, greater functional impairment, and significant psychiatric comorbidity, including overall distress and suicidality [67]. In a study of comorbidity with only selected disorders (mood, anxiety, impulse-control, and substance use disorder), 78.9% of individuals with BED had a lifetime history of at least one comorbidity, 20.2% had one comorbid disorder, 9.8% had two, and 48.9% had three or more [28]. Furthermore, the presence of current psychiatric comorbidity is associated with greater ED-related psychopathology and associated distress [40,41]. The most common comorbidities (lifetime rates) are specific phobia (37.1%), social phobia (31.9%), major depressive disorder (32.3%), post-traumatic stress disorder (PTSD) (26.3%), alcohol abuse/dependence (21.4%), conduct disorder (20%), attention-deficit/ hyperactivity disorder (19.8%), illicit drug use/dependence (19.4%), and oppositional-defiant disorder (18%) [28]. A recent report supports that this level of comorbidity is evident in primary care settings, noting that PTSD in particular is common and associated with a host of other difficulties, including depression, anxiety, drug use disorders, greater eating disorder pathology, and poorer psychological functioning [82]. Personality disorders are also commonly comorbid with BED, with the highest lifetime rates for avoidant (11%), obsessive compulsive (10%), and borderline (9%) personality disorders [83]. Finally, cigarette smoking is also associated with binge eating [83,84], likely evolving out of a weight-control smoking profile [85], and this is of relevance to the primary care setting in that smokers with BED gain more weight upon smoking cessation than do their non-BED counterparts [86].

Further Evaluation

To assess behavioral factors related to obesity and recent weight gain, the physician asks the patient if she ever eats what would be considered an unusually large amount of food for the circumstance. The patient acknowledges that she does so regularly, particularly in response to negative moods. The patient also describes that these episodes contribute to ongoing low mood, such that she feels highly depressed and hopeless following binge episodes. The physician then asks about the patient’s exercise habits and weight management techniques. While the patient denies engaging in compensatory behaviors (eg, vomiting, laxative use) to counteract excessive eating, she does report a history of dieting in which she dramatically restricts her food intake and subsequently loses weight. The patient states that these periods are inevitably followed by a resumption of overeating, and she typically gains back more weight than she originally lost. The patient estimates that she has lost and regained more than 20 lb at least 5 times during her lifetime. In addition, the patient reports difficulty maintaining a regular exercise regimen, especially since the onset of osteoarthritis-related joint pain in the past year. After the evaluation, the physician orders an electrocardiogram (ECG) and blood work. The ECG shows that the P-wave, QRS, and T-wave axes are shifted leftward, but within normal limits. A follow-up appointment is scheduled in 2 weeks.

• What are the medical complications of BED?

BED is associated with numerous negative health sequelae including obesity, sleeping problems, musculoskeletal pain, joint pain, headaches, gastrointestinal problems, menstrual problems, shortness of breath, chest pain, diabetes, low health-related quality of life, and functional health impairments [87–90], with many of these risks persisting even after controlling for BMI [91]. A 5-year follow-up of 134 individuals with BED and 134 individuals with no history of eating disorders, who were frequency-matched for age, sex, and baseline body mass index (BMI), provides further support that BED confers risk of components of metabolic syndrome beyond the risks associated with BMI alone [92]. Specifically, BED cases had higher longitudinal risk of developing dyslipidemia, hypertension, type 2 diabetes, any metabolic syndrome component, and two or more metabolic syndrome components. Alarmingly, these findings even emerge in studies of pediatric samples, wherein BED predicts development of metabolic syndrome, elevated triglycerides, and increases in visceral adiposity [93].

• What are risk factors for BED?

A number of risk factors for BED have been identified, although many are risk factors for a number of psychiatric disorders and not specific to BED. These general risk factors include depression/negative affectivity [94,95], parental mood and substance use disorder, maternal problematic parenting, and separation from parents [95]. A host of risk factors have been identified for disordered eating, in general, including body dissatisfaction [94], early onset of dieting [94], and perfectionism [96]. A number of other variables are risk factors for both BED and bulimia (but not anorexia), including a history of childhood bully and teasing, negative self-evaluation, parental depression, and negative family communication about shape and weight [81,96]. In a study comparing BED cases to psychiatric controls, childhood obesity, familial eating problems, family discord, and high parental demands differentiated the BED cases [95]. In summary, it has been suggested that BED risk is conferred by factors that increase risk of psychiatric disorder in general and those that confer risk for obesity [81]. Of note, the risk factors studied do not appear to differ between black and white women [95].

Genetic risk factors appear to play a strong role in the development of BED. Risk for BED tends to aggregate in families independently of the risk for obesity, although the presence of BED in a first-degree relative does increase risk for obesity [97]. Heritability estimates for BED range from 45% to 57% [98,99], which is greater than the heritability estimate for subthreshold binge eating (ie, overeating with a sense of loss of control, 41%) [100]. In addition, symptom-level analyses support moderate genetic contributions for each BED symptom [98], supporting the integrity of the diagnostic criteria. Finally, shared environment appears to play a very small role in the familial transmission of BED, and the contribution of unique environmental factors in development of BED appears to be substantial [97,101].

With regard to the neurobiological underpinnings of BED, it appears that BED may be associated with hypersensitivity to reward, a phenomenon that is strongly associated with the striatum and dopaminergic mechanisms [102,103]. In support of this hypothesis, Davis et al [102] reported that BED was differentially related to genotypes that reflect a greater density of D2 receptors and higher D2 binding potential as compared to obese controls. Additionally, greater increases in striatal DA and unique activation patterns in the right ventral striatum have been demonstrated in individuals with BED as compared to obese non-BED controls in response to food-related stimuli [103,104]. Other findings have implicated the orbitofrontal cortex (OFC) in BED, which is another brain region responsible for reward processing, particularly as it relates to the hedonic value of food stimuli [103]. Increased volume of grey matter has been documented in individuals with BED and bulimia as compared to normal weight controls, and stronger medial OFC activation while viewing pictures of food was observed in individuals with BED as compared to individuals with bulimia, overweight controls, and normal controls [105].

Difficulties with affect regulation have also been implicated in the development of BED. Two theories that implicate a primary and specific role for affect regulation in BED are cited most frequently in the extant literature: the affect regulation theory and the escape theory. The affect regulation theory [106] posits that BE is a conditioned response to negative affect which is correspondingly negatively reinforced by reductions in negative affect, which could occur during or after BE. Escape theory [107] posits that aversive self-awareness causes negative affect, which in turn triggers BE. BE is then negatively reinforced by reductions in negative affect during a binge via an escape from self-awareness that is accomplished through cognitive narrowing to the immediate stimulus environment. In contrast to the affect regulation theory, escape theory predicts that negative affect will increase after BE when self-awareness is restored. Results regarding changes in affect during BE episodes are conflicting as to whether BE is associated with decreases, no change [108–110], or even increases in negative affect. In particular, a meta-analytic review of 36 studies that examined affect via ecological momentary sampling found moderate increases in negative affect following binge episodes [111]. To some degree, results of this meta-analysis may not generalize to BED, per se, given that it included other binge eating groups, such as those with bulimia nervosa. However, in general, studies suggest that negative affect is an antecedent for BE and increased negative affect may be a consequence of BE, at least among women. More information is needed regarding aversive self-awareness before and after BE, cognitive narrowing, and changes in affect during BE. As such, the current state of the literature provides only partial support for affect regulation models of BED in women. Furthermore, it remains unknown if these results will generalize to men.

Clinical Course

Evidence regarding the course and stability of BED is conflicting and unclear. Several prospective studies have suggested that BED is not a stable disorder, exhibiting high rates of remission over time [26,99,112]. However, the samples have been criticized for being small, completely female, younger than typical individuals with BED, and post-ED treatment. In contrast, a prospective study that included older women and a combination of treated and untreated women suggested remission rates at 1 year that were much lower (7%) [78]. Additionally, a retrospective study [113] reported an average BED duration of 14.4 years. In a review of the studies cited above, Wonderlich et al [6] concluded that “[a]lthough there is variability in the data, it does appear that BED differs from other eating disorders in terms of a greater tendency toward recovery and fluctuation, although this may be embedded in a chronic pattern of remission and relapse.” Viewing BED as a disorder with a chronic pattern of remission and relapse could explain why individuals with BED retrospectively report a longer duration of illness, as they may be more likely to conceptualize their illness as one continuous course punctuated by different periods of severity rather than several distinct bouts of BED. Finally, although diagnostic crossover is a frequent phenomenon among other eating disorders, the crossover rate for BED appears relatively low as compared to anorexia and bulimia [6,26,28,66].

Follow-up

Laboratory examination shows TSH levels within normal limits and cholesterol levels of 48 mg/dL(HDL), 162 mg/dL (LDL), and 270 mg/dL (total). Triglyceride levels are 300 mg/dL and the patient’s fasting glucose level is 115 mg/dL. At the patient’s follow-up appointment, the physician states that a number of laboratory results indicated negative weight-related health consequences, including high cholesterol, high triglycerides, hypertension, and probable pre-diabetes. The patient initially disregards the significance of these results, stating she only gained weight due to her break-up and quitting smoking, and she is motivated to diet to lose weight in the near future. The physician asks for more information about the patient’s eating behavior, in particular asking if she ever feels as if she loses control over her eating. The patient reluctantly admits to this, and the physician provides a referral to a behavioral health specialist. The patient expresses ambivalence and a desire to try to manage her weight on her own. The physician uses motivational interviewing techniques to enhance motivation to follow up on this referral. In addition, the patient is encouraged to make small changes to her diet and slowly increase her exercise by taking walks. Another follow-up appointment is scheduled in 3 months.

• Which treatments are most effective for BED?

Despite the negative sequalae of BED, studies suggest that it often goes untreated [114]. Women with BED, as compared to women with anorexia and bulimia, are less likely to seek treatment for BED and less likely to receive treatment for their eating disorder when they do seek it out [114–116]. Barriers to treatment may include shame and internalized weight stigma, lack of knowledge about where to seek treatment, a belief that willpower should be sufficient to overcome the problem, lack of understanding that BED is a psychiatric disorder, finances/insurance barriers, and lack of BED detection by non-specialist treatment providers [115]. These barriers are particularly concerning, as women with BED report greater health care utilization and comprise a large segment of patients in weight control programs. Therefore, it appears individuals with BED seek help for the negative consequences of the disorder, but they are less likely to seek and receive help for the likely root cause of their concerns. This is a particularly damaging pattern, as the presence of BED may negatively impact the outcome of obesity treatment [117]. There are, however, a number of promising treatments for BED, as described below:

Cognitive Behavioral Therapy

Cognitive behavioral therapy (CBT) is generally considered to be the most well-established and empirically supported treatment for BED [118,119]. The cognitive behavioral conceptualization of BED is based on Fairburn, Cooper, and Shafran’s [120] transdiagnostic model of eating disorders (CBT-E), which is an expanded version of the cognitive behavioral model of bulimia nervosa [121]. CBT-E posits that the core pathology in eating disorders is a dysfunctional system in which self-worth is based on eating habits, shape, or weight, and the individual’s ability to control them. Attempts to maintain self-worth by controlling eating, shape, and weight result in extreme and brittle forms of dietary restraint. Inevitable violations of the individual’s dietary rules are then interpreted as lack of self-control, leading to a temporary abandonment of dietary restraint and consequent BE. These dietary slips and corresponding BE often occur in response to acute changes in mood, and BE is thus negatively reinforced by “neutralizing” negative mood states. Lapses in dietary restraint also result in secondary negative self-evaluation, which serves to further exacerbate a cycle of increased dietary restraint to improve self-worth and then inevitable dietary lapses leading to BE. CBT-E expanded upon CBT-BN by postulating 4 processes that maintain ED: severe perfectionism (clinical perfectionism), unconditional and pervasive low self-esteem (core low self-esteem), difficulties coping with intense mood states (mood intolerance), and developmental interpersonal difficulties (interpersonal difficulties). Of note, the CBT-E model explicitly states that individuals may differ in the extent to which they experience the 4 maintaining processes and not every individual will experience all four.

Overall, treatment is focused on normalizing eating patterns (ie, not weight loss), cognitive restructuring for weight/shape concerns and other triggers for binge eating, and relapse prevention [122]. CBT has produced substantial reductions in binge eating as compared to no treatment [123–125] and supportive therapy [126]. The majority of RCTs have reported remission rates greater than 50% [127]. Unfortunately, CBT has generally not produced meaningful weight loss [118,122,127–129], but this may be a contraindicated goal. CBT has demonstrated improvements in a number of features associated with BED including eating disordered psychopathology [122,124,130,131], depression [122,124,130,132], social adjustment [133], and self-esteem [132]. Treatment gains are generally well-maintained at 1-year to 4-year follow-up [122,123,130,133,134]. Individual and group treatments appear to produce similar results [134], and treatment completion rates have been estimated at approximately 80% across different delivery formats [127]. One strength of the CBT literature is the inclusion of participants with severe psychopathology, which facilitates the generalizability of these findings [127].

A number of factors have been associated with treatment outcome in CBT trials. Poor treatment outcomes have been associated with a history of weight problems during childhood, high levels of emotional eating at baseline, interpersonal dysfunction, and low group cohesion during group CBT [110,124,134]. Overvaluation of weight and shape demonstrated a statistical trend toward negatively impacting outcomes in one study. The presence of a cluster B personality disorder (ie, borderline histrionic, antisocial, and narcissistic personality disorders) predicted higher levels of binge eating at 1-year follow-up in a combined sample of participants treated with group CBT or group interpersonal psychotherapy (IPT) [135].

Alternatively, positive treatment outcomes have been associated with low levels of emotional eating at baseline, older age of onset, weight loss history that is negative for amphetamine use, and decreases in depressive symptoms during treatment [124,134,136,137]. In addition, early response to treatment (defined as a 65%–70% reduction in binge eating within 4 weeks of starting treatment) tends to be associated with greater long-term (ie, 1–2 year) remission from BED and lower eating disorder psychopathology, across a variety of psychological treatment approaches [138–144].

Interpersonal Psychotherapy

IPT for BED was adapted by Wilfley and colleagues [145] from IPT for depression, and the rationale for its use with BED is based on successful outcomes for individuals with bulimia and multiple studies documenting interpersonal deficits in individuals with BED [146]. IPT seeks to address interpersonal problems in 4 areas: interpersonal conflict, grief, role transitions, and interpersonal deficits [135]. While adapting IPT for BED, it was noted that the course of BED tends to be more chronic than the course of depression, thus the focus of IPT for BED was shifted from addressing the interpersonal precipitants of the disorder to the interpersonal factors that maintain the disorder [145]. Fewer studies examining the effectiveness of IPT in treating BED have been published than those examining CBT for BED, but it appears that IPT is as efficacious as CBT immediately post-treatment [130], and at 1- [130] and 4-year follow-up [147]. In addition, at least 2 studies have been published that compare IPT, cognitive behavioral therapy–guided self-help (CBTgsh), and behavioral weight loss [133,141]. Overall, results support the use of both IPT and CBTgsh (discussed in more detail below), with important moderators of treatment effects observed. For example, Wilson et al [133] found that clients with higher levels of psychopathology were better suited for IPT. The authors conclude that these results could inform a model of evidence-based stepped care, where CBTgsh, a low-cost, low-intensity treatment, should be considered as the first line of treatment. Secondarily, IPT, which represents a more specialized and expensive form of treatment, could be considered the next level of care, particularly for clients who are not demonstrating rapid improvement in response to CBTgsh.

Dialectic Behavior Therapy

A small number of studies have investigated the treatment of BED with dialectical behavior therapy (DBT). Originally developed to treat borderline personality disorder [148], DBT is of particular interest given its explicit targeting of emotion regulation. According to the DBT model of BED [149], emotional dysregulation is the core psychopathology in this disorder, and binge eating is viewed as attempts to influence, change, or control painful emotions. Initially, promising results were published showing positive treatment effects in an uncontrolled study [150] as well as wait-list controlled trials [151]. Notably, relative to wait-list controls, participants in a DBT guided self-help program (who received an orientation, DBT manual, and six 20-minute support calls across 13 weeks) reported reduced past-month binge eating, higher binge eating abstinence rates, and over the longer term improved quality of life and reductions in ED psychopathology. However, a comparison of DBT-BED with an active comparison control group (ie, nonspecific supportive therapy) failed to find significant differences between the 2 treatments (defined as effect size greater than 0.5) at 12-month follow-up in binge eating abstinence, binge eating frequency, most ED-related psychopathology, positive affect, depression, and self-esteem [152]. Therefore, DBT may have potential and, at a minimum, is equally efficacious as supportive therapy.

Mindfulness- and Meditation-Based Therapies

Treatment outcome studies utilizing mindfulness-based therapies, including mindfulness-based stress reduction (MBSR) and acceptance and commitment therapy (ACT), make up a small but promising body of literature. Reasoning that negative affect, eating in the absence of hunger, and emotional eating may comprise one pathway to binge eating [153,154], it follows that mindfulness-based therapies may act through their effects on emotion regulation, acceptance strategies for tolerating negative affect, and awareness of bodily cues. A recent review identified 19 studies exploring the effects of mindfulness-based interventions on binge eating severity and frequency as well as a number of related indicators, observing positive effects for this form of treatment [155]. For example, MB-EAT [156] is a group treatment for BED that is primarily based on MBSR. Treatment is targeted at cultivating mindfulness, mindful eating, emotional balance, and self-acceptance[157]. The treatment also places particular emphasis on developing self-awareness of internal hunger and satiety cues. A recent randomized controlled trial of MB-EAT produced significant improvements in binge eating frequency and BE-related psychopathology [158]. Furthermore, process variables including hunger awareness, satiety awareness, and mindfulness were correlated with positive outcomes. In addition, a small study (n = 39) that compared ACT to standard follow-up utilized by a bariatric surgery team demonstrated significantly greater improvements in disordered eating, body satisfaction, and quality of life for clients who participated in ACT [159]. In brief, results suggest that mindfulness-based interventions represent an additional treatment approach with supporting but limited evidence to date.

Self-Help Interventions

Self-help interventions for BED are categorized as pure self-help or guided self-help. In treatment outcome studies, pure self-help is generally conducted with a self-help manual, although several studies have examined more novel formats such as the internet, video, and CD-ROM. GSH also uses a self-help manual (or other format) with the addition of brief sessions with health care providers who have varying degrees of expertise with the type of therapy being utilized. CBT is the most commonly utilized therapeutic modality in treatment outcome studies of self-help interventions, and they most often utilize Fairburn’s Overcoming Binge Eating self-help manual [160].

Two studies have directly compared pure and guided self-help with Fairburn’s manual and produced conflicting results. Carter and Fairburn [161] found that in a sample of primarily white women with BED, pure self-help (CBTsh; n = 24) and guided self-help (CBTgsh; n = 24) were equally effective, and both were superior to wait-list controls at 6-month follow-up in producing BE abstinence (CBTsh = 40%, CBTgsh = 50%), reducing binge eating, ED-related psychopathology, and general psychiatric symptoms. In contrast, a study comparing CBTsh and CBTgsh in 40 primarily white women with recurrent binge eating (82.5% diagnosed with BED), guided self-help was superior to pure self-help at the end of treatment in reducing BE frequency, eating concern, and restraint [162]. CBTgsh and CBTsh were equally effective in producing BE abstinence (50% and 30%, respectively), and reducing shape concern, weight concern, and general psychiatric symptoms [162]. Higher levels of general psychiatric symptoms were predictive of higher BE frequency post-treatment for both treatments. It should be noted that participants in both conditions experienced statistically significant improvements on all variables as compared to baseline.

CBTgsh also performed as well or better than individualized treatments in one study [133]. CBTgsh, IPT, and behavioral weight loss (BWL) were compared in a large study of 205 primarily white, obese or overweight individuals diagnosed with BED. The 3 treatments produced equivalent outcomes for binge eating at post-treatment, but BWL produced significantly greater weight loss. However, at 2-year follow-up, the CBTgsh and IPT groups had maintained treatment gains and were significantly superior to BWL in reductions in binge eating. The 3 groups were equivalent with regard to weight loss at the 2-year follow-up, and none reported clinically significant weight loss. Of note, as compared to the IPT and BWL groups, the CBTgsh group received 10 sessions as opposed to 20, received 25-minute sessions as opposed to 60-minute sessions, and were treated by providers with limited levels of experience as opposed to doctoral-level clinical psychologists.

To summarize, CBT is the most often studied type of self-help treatment. Both CBTsh and CBTgsh produced improvements in binge eating and associated psychopathology as compared to baseline and wait-list controls, and treatment gains were maintained at 6-month follow-up. Conclusions regarding the relative superiority of pure self-help or guided self-help are premature given the small number of studies and conflicting results.

In addition, limited information is available regarding moderators and predictors of guided self-help outcomes. Masheb and Grilo [163] performed a cluster analysis of the sample for the CBTgsh vs. BWLgsh described above [164] and identified 2 clinically significant subtypes: a dietary-negative affect subtype characterized by high restraint, low self-esteem, and depressive symptoms; and an overvaluation of weight and shape subtype. For both the CBTgsh and BWLgsh groups, the dietary-negative affect subtype experienced higher levels of binge eating frequency, and the overvaluation of weight and shape subtype experienced higher levels of ED-related psychopathology. Additionally, individuals receiving BWLgsh who experienced a rapid response to treatment reported lower BE frequency, greater weight loss, and higher restraint than participants without a rapid response [142]. In contrast, rapid response did not appear to affect outcomes for CBTgsh participants. Finally, the combination of low self-esteem and high ED-related psychopathology negatively affected BE remission rates for CBTgsh recipients [133].

Pharmacologic Treatment

Currently only one medication, lisdexamfetamine dimesylate, has been FDA-approved for the treatment of BED. Previously approved for treating both adults and children with attention-deficit hyperactivity disorder, lisdexamfetamine dimesylate is a central nervous system stimulant and has been found to significantly reduce number of binge days, with robust effect sizes [165]. Beyond this medication, the evidence for pharmacologic treatment of BED is limited. A recent review identified only 22 studies exploring the effects of pharmacologic treatment in a methodologically rigorous way (eg, double-blind placebo design) [4]. To date, a number of different medication classes have been evaluated, including antidepressants, anticonvulsants, stimulants, anti-obesity drugs, and others. Overall, there is some evidence that antidepressant and anticonvulsant agents are efficacious at reducing BE frequency [166,167] and sometimes effective regarding statistically significant weight loss [168,169]. However, the majority of results are generally disappointing, both with respect to reductions in binge eating and sustained weight loss [48,170,171]. In addition, there are serious limitations in the literature that must be considered, including the limited number of studies that address the high placebo response observed in clinical samples, limited follow-up windows, and inadequate multiplicitious confirmatory trials. Despite these limitations, the evidence base related to pharmacologic treatment is continuously evolving and represents an important future direction for the treatment of BED.

Treatment

Prior to her next medical follow-up, the patient meets with a psychologist. The patient discloses that she has been binge eating several times per week for over a year; she also discloses a history of prolonged sexual abuse perpetrated by a step-parent during her childhood. When the patient returns to her follow-up medical appointment, she reports that her psychologist has diagnosed her with BED and PTSD. She states that they are using cognitive behavioral techniques to regulate her mood and eating behavior, with a specific aim of avoiding excessive dietary restraint. In addition, they are working together to discuss her unfulfilling romantic history and processing her experiences of trauma. Since her last appointment with the primary care physician, she reports an increased awareness of her eating habits, improvement in mood, and a 10-lb decrease in her weight.

The patient reports that she has continued to meet weekly with her psychologist and has slowly begun reintroducing low-impact exercise to her routine. She continues to lose weight gradually, but with a priority of stabilizing eating behavior and avoiding binge episodes versus aiming for weight loss. She reports that her mood has stabilized. Her cholesterol and triglycerides remain high, but her blood pressure is controlled effectively with medication. Her physician recommends continued psychological treatment, periodic meetings with a nutritionist, and prescribes medication for her cholesterol. A follow-up appointment with her physician is scheduled in 6 months.

Summary

BED is the most common eating disorder, but one for which many do not seek treatment directly, instead presenting to primary care for a host of comorbid psychiatric and medical conditions. Proper screening and referral in the primary care setting can optimize the likelihood of patients’ obtaining empirically supported treatments with coordinated care between primary care and behavioral health providers. Some sources for information for patients and providers are listed in Table 3. As the literature does not yet overwhelmingly support a particular treatment modality over another, the primary care physician should support patient preferences amongst the options reviewed above. Given that a large body of literature supports the use of motivational interviewing strategies [172,173] to optimize the likelihood of engaging in a wide range of health behaviors in the primary care setting, reliance on such strategies to promote engagement in BED treatment is highly recommended.

 

Corresponding author: Karen K. Saules, PhD, Eastern Michigan University, Psychology Clinic, 611 W. Cross St., Ypsilanti, MI 48197, ksaules@emich.edu

Financial disclosures: None.

References

1. Stunkard AJ. Eating patterns and obesity. Psychiatr Q 1959;33:284–95.

2. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed. Text revision. Washington (DC): The Association; 2000.

3. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: The Association; 2013.

4. Reas D, Grilo C. Pharmacological treatment of binge eating disorder: update review and synthesis. Hum Psychopharmacol Clin Exp 2015;23:1463–78.

5. Wilson G. Treatment of binge eating disorder. Psychiatr Clin North Am 2011;34:773–83.

6. Wonderlich SA, Gordon KH, Mitchell JE, et al. The validity and clinical utility of binge eating disorder. Int J Eat Disord 2009;42:687–705.

7. Walsh BT, Boudreau G. Laboratory studies of binge eating disorder. Int J Eat Disord 2003;34 Suppl:S30–8.

8. Guss JL, Kissileff HR, Devlin MJ, et al. Binge size increases with body mass index in women with binge-eating disorder. Obes Res 2002;10:1021–9.

9. Fairburn CG, Cooper Z. The eating disorder examination. In: Fairburn CG, Cooper Z, editors. Binge eating: nature, assessment, and treatment. New York: Guilford Press;1993:317–60.

10. Keel PK, Mayer SA, Harnden-Fischer JH. Importance of size in defining binge eating episodes in bulimia nervosa. Int J Eat Disord 2001;29:294–301.

11. Niego SH, Pratt EM, Agras WS. Subjective or objective binge: is the distinction valid? Int J Eat Disord 1997;22: 291–8.

12. Pratt E, Niego S, Agras W. Does the size of a binge matter? Int J Eat 1998;24:307–12.

13. Wolfe BE, Baker CW, Smith AT, et al. Validity and utility of the current definition of binge eating. Int J Eat Disord 2009;42:674–86.

14. Latner JD, Clyne C. The diagnostic validity of the criteria for binge eating disorder. Int J Eat Disord 2008;41:1–14.

15. Johnson WG, Boutelle KN, Torgrud L. What is a binge? The influence of amount, duration, and loss of control criterial on judgements of binge eating. Int J Eat Disord 2000;27:471–9.

16. Johnson WG, Roberson-NR, Rohan KJ, et al. An experimental investigation of DSM-IV binge-eating criteria. Eat Behav 2003;4:295–303.

17. Reslan S, Saules KK. College students’ definitions of an eating ‘binge’ differ as a function of gender and binge eating disorder status. Eat Behav 2011;12:225–7.

18. Telch CF, Pratt EM, Niego SH. Obese women with binge eating disorder define the term binge. Int J Eat Disord 1998;24:313–7.

19. Colles SL, Dixon JB, O’Brien PE. Loss of control is central to psychological disturbance associated with binge eating disorder. Obesity (Silver Spring) 2008;16:608–14.

20. Stein KF, Kenardy J, Wiseman C V, et al. What’s driving the binge in binge eating disorder? A prospective examination of precursors and consequences. Int J Eat Disord 2007;40:195–203.

21. Rossiter EM, Agras WS, Telch CF, et al. The eating patterns of non-purging bulimic subjects. Int J Eat Disord 1992;11:111–120.

22. Grilo CM, White MA. A controlled evaluation of the distress criterion for binge eating disorder. J Consult Clin Psychol 2011;79:509–14.

23. Trace SE, Thornton LM, Root TL, et al. Effects of reducing the frequency and duration criteria for binge eating on lifetime prevalence of bulimia nervosa and binge eating disorder: implications for DSM-5. Int J Eat Disord 2012;45: 531–6.

24. Wilson GT, Sysko R. Frequency of binge eating episodes in bulimia nervosa and binge eating disorder: diagnostic considerations. Int J Eat Disord 2009;42:603–10.

25. Sysko R, Roberto CA, Barnes RD, et al. Test-retest reliability of the proposed DSM-5 eating disorder diagnostic criteria. Psychiatry Res 2012;196:302–8.

26. Fairburn CG, Cooper Z, Doll HA, et al. The natural course of bulimia nervosa and binge eating disorder in young women. Arch Gen Psychiatry 2000;57:659–65.

27. Grilo CM, Ivezaj V, White MA. Evaluation of the DSM-5 severity indicator for binge eating disorder in a community sample. Behav Res Ther 2015;66:72–6.

28. Hudson JI, Hiripi E, Pope HG, et al. The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication. Biol Psychiatry 2007;61:348–58.

29. Stice E, Marti CN, Rohde P. Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8-year prospective community study of young women. J Abnorm Psychol 2012;122:445–57.

30. Mangweth-Matzek B, Hoek HW, Rupp CI, et al. Prevalence of eating disorders in middle-aged women. Int J Eat Disord 2014;47:320–4.

31. Ivezaj V, Saules KK, Hoodin F, et al. The relationship between binge eating and weight status on depression, anxiety, and body image among a diverse college sample: a focus on bi/multiracial women. Eat Behav 2010;11:18–24.

32. Striegel-Moore RH, Bedrosian R, Wang C, et al. Why men should be included in research on binge eating: results from a comparison of psychosocial impairment in men and women. Int J Eat Disord 2012;45:233–40.

33. Womble LG, Williamson DA, Martin CK, et al. Psychosocial variables associated with binge eating in obese males and females. Int J Eat Disord 2001;30:217–21.

34. Udo T, McKee SA., White MA., et al. Sex differences in biopsychosocial correlates of binge eating disorder: a study of treatment-seeking obese adults in primary care setting. Gen Hosp Psychiatry 2013;35:587–91.

35. Udo T, McKee SA., White MA, et al. Menopause and metabolic syndrome in obese individuals with binge eating disorder. Eat Behav 2014;15:182–5.

36. Napolitano MA., Himes S. Race, weight, and correlates of binge eating in female college students. Eat Behav 2011;12:29–36.

37. Sorbara M, Geliebter A. Body image disturbance in obese outpatients before and after weight loss in relation to race, gender, binge eating, and age of onset of obesity. Int J Eat Disord 2002;31:416–23.

38. Alegria M, Woo M, Cao Z, et al. Prevalence and correlates of eating disorders in Latinos in the U.S. Int J Eat Disord 2007;40:S15–21.

39. Striegel-Moore RH, Wilfley DE, Pike KM, et al. Recurrent binge eating in black American women. Arch Fam Med 2000;9: 83–7.

40. Reslan S, Saules KK. Assessing the prevalence of and factors associated with overweight, obesity, and binge eating as a function of ethnicity. Eat Weight Disord-St 2013;18:209–19.

41. Grilo CM, White MA, Barnes RD, et al. Psychiatric disorder co-morbidity and correlates in an ethnically diverse sample of obese patients with binge eating disorder in primary care settings. Compr Psychiatry 2012;54:209–16.

42. Smolak L, Striegel Moore RH. Challenging the myth of the golden girl: ethnicity and eating disorders. In: Smolak L, Striegel Moore RH, editors. Eating disorders innovative directions in research and practice. Washington (DC): American Psychological Association;2001:111–32.

43. Wildes JE, Emery RE. The role of ethnicity and culture in the development of eating disturbance and body dissatisfaction: a meta-analutic review. Clin Phychology Rev 2001;21:521–50.

44. George JBE, Franko DL. Cultural issues in eating pathology and body image among children and adolescents. J Pediatr Psychol 2010;35:231–42.

45. Kelly NR, Cotter EW, Tanofsky-Kraff M, et al. Racial variations in binge eating, body image concerns, and compulsive exercise among men. Psychol Men Masc 2014;13:326-36.

46. Franko DL, Thompson-Brenner H, Thompson DR, et al. Racial/ethnic differences in adults in randomized clinical trials of binge eating disorder. J Consult Clin Psychol 2012;80:186–95.

47. Marques L, Alegria M, Becker AE, et al. Comparative prevalence, correlates of impairment, and service utilization for eating disorders across U.S. ethnic groups: Implications for reducing ethnic disparities in health care access for eating disorders. Int J Eat Disord 2012;44:412–20.

48. Guerdjikova AI, O’Melia AM, Mori N, et al. Binge eating disorder in elderly individuals. Int J Eat Disord 2012;45: 905–8.

49. Fairburn CG. Beglin SJ. Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord 1994;16:363–70.

50. Spitzer R, Yanovski S, Marcus M. The questionnaire on eating and weight patterns-revised (QEWP-R). New York State Psychiatric Institute, Mew York 1993.

51. Barnes RD, Masheb RM, White MA, et al. Comparison of methods for identifying and assessing obese patients with binge eating disorder in primary care settings. Int J Eat Disord 2011;44:157–63.

52. Yanovski SZ, Marcus MD, Wadden TA, et al. The questionnaire on eating and weight patterns-5: an updated screening instrument for binge eating disorder. Int J Eat Disord 2015;48:259–61.

53. Gormally J, Black S, Daston S, et al. The assessment of binge eating severity among obese persons. Addict Behav 1982;7:47–55.

54. Alfonsson S. Replacing the term ‘binge eating’ with ‘loss of control over eating’ affects eating disorder screening in clinical care. Obes Res Clin Pract 2015;6–7.

55. Kelly NR, Mitchell KS, Gow RW, et al. An evaluation of the reliability and construct validity of eating disorder measures in white and black women. Psychol Assess 2012;24:608–17.

56. Richards LK, McHugh RK, Pratt EM, et al. Readability and comprehension of self-report binge eating measures. Eat Behav 2013;14:167–70.

57. Masheb RM, White MA, Grilo CM. Substantial weight gains are common prior to treatment-seeking in obese patients with binge eating disorder. Compr Psychiatry 2013;54:880–4.

58.  Heaner MK, Walsh BT. A history of the identification of the characteristic eating disturbances of Bulimia Nervosa, Binge Eating Disorder and Anorexia Nervosa. Appetite 2013;65:185–8.

59. Greeno CG, Wing RR, Shiffman S. Binge antecedents in obese women with and without binge eating disorder. J Consult Clin Psychol 2000;68:95–102.

60. Le Grange D, Gorin A, Catley D, et al. Does momentary assessment detect binge eating in overweight women that is denied at interview? Eur Eat Disord Rev 2001;9:309–24.

61. Brody ML, Walsh BT, Devlin MJ. Binge eating disorder: reliability and validity of a new diagnostic category. J Consult Clin Psychol 1994;62:381–6.

62. Hsu LKG, Mulliken B, McDonagh B, et al. Binge eating disorder in extreme obesity. Int J Obes Relat Metab Disord 2002;26:1398–403.

63. Wilfley DE, Schwartz MB, Spurrell EB, et al. Using the eating disorder examination to identify the specific psychopathology of binge eating disorder. Int J Eat Disord 2000;27:259–69.

64. Grucza RA, Przybeck TR, Cloninger CR. Prevalence and correlates of binge eating disorder in a community sample. Compr Psychiatry 2007;48:124–31..

65. Telch CF, Stice E. Psychiatric comorbidity in women with binge eating disorder: prevalence rates from a non-treatment-seeking sample. J Consult Clin Psychol 1998;66:768–76.

66. Wilfley DE, Bishop ME, Wilson GT, et al. Classification of eating disorders: toward DSM-V. Int J Eat Disord 2007; 40:s123–9.

67. Wilfley DE, Wilson GT, Agras WS. The clinical significance of binge eating disorder. Int J Eat Disord 2003;34 Suppl:S96–106.

68. Perez M, Warren CS. The relationship between quality of life, binge-eating disorder, and obesity status in an ethnically diverse sample. Obesity (Silver Spring) 2012;20:879–85.

69. Bulik CM, Sullivan PF, Kendler KS. An empirical study of the classification of eating disorders. Am J Psychiatry 2000;157:886–95.

70. Keel PK, Heatherton TF, Dorer DJ, et al. Point prevalence of bulimia nervosa in 1982, 1992, and 2002. Psychol Med 2006;36:119–27.

71. Mitchell JE, Crosby RD, Wonderlich SA, et al. Latent profile analysis of a cohort of patients with eating disorders not otherwise specified. Int J Eat Disord 2007;40:s95–8.

72. Rockert W, Kaplan AS, Olmsted MP. Eating disorder not otherwise specified : the view from a tertiary care treatment center. Int J Eat Disord 2007;40:s99–103.

73. Striegel-Moore RH, Franko DL, Thompson D, et al. An empirical study of the typology of bulimia nervosa and its spectrum variants. Psychol Med 2005;35:1563–72.

74. Sullivan PF, Bulik CM, Kendler KS. The epidemiology and classification of bulimia nervosa. Psychol Med 1998;28:599–610.

75. Wade TD, Crosby RD, Martin NG. Use of latent profile analysis to identify eating disorder phenotypes in an adult Australian twin cohort. Arch Gen Psychiatry 2006;63:1377–84.

76. Striegel-Moore RH, Franko DL. Should binge eating disorder be included in the DSM-V? A critical review and state of the evidence. Annu Rev Clin Psychol 2008;4:305–24.

77. Striegel-Moore RH, Cachelin FM. Etiology of eating disorders in women. Couns Psychol 2001;29:635–61.

78. Crow SJ, Stewart Agras W, Halmi K, et al. Full syndromal versus subthreshold anorexia nervosa, bulimia nervosa, and binge eating disorder: a multicenter study. Int J Eat Disord 2002;32:309–18.

79. Striegel-Moore RH, Cachelin FM, Dohm F a, et al. Comparison of binge eating disorder and bulimia nervosa in a community sample. Int J Eat Disord 2001;29:157–65.

80. Wilfley DE, Schwartz MB, Spurrell EB, et al. Assessing the specific psychopathology of binge eating disorder patients: Interview or self-report? Behav Res Ther 1997;35:1151–9.

81. Fairburn CG, Doll HA, Welch SL, et al. Risk factors for binge eating disorder. Arch Gen Psychiatry 1998;55:425–32.

82. Grilo CM, White M a., Barnes RD, et al. Posttraumatic stress disorder in women with binge eating disorder in primary care. J Psychiatr Pract 2012;18:408–12.

83. Cassin SE, von Ranson KM. Is binge eating experienced as an addiction? Appetite 2007;49:687–90.

84. Kelly-Weeder S, Jennings KM, Wolfe BE. Gender differences in binge eating and behavioral correlates among college students. Eat Weight Disord 2012;17:e200–2.

85. Pomerleau CS, Ehrlich E, Tate JC, et al. The female weight-control smoker: a profile. J Subst Abuse 1993;5:391–400.

86. White MA, Masheb RM, Grilo CM. Function of binge eating behavior. Int J Eat Disord 2010;43:572–75.

87. Bulik CM, Reichborn-Kjennerud T. Medical morbidity in binge eating disorder. Int J Eat Disord 2003;34:S39–46.

88. Johnson JG, Spitzer RL, Williams JBW. Health problems, impairment and illnesses associated with bulimia nervosa and binge eating disorder among primary care and obstetric gynaecology patients. Psychol Med 2001;31.

89. Mond JM, Hay PJ, Rodgers B, et al. Assessing quality of life in eating disorder patients. Qual Life Res 2005;14:171–8.

90. Marchesini G, Natale S, Chierici S, et al. Effects of cognitive-behavioural therapy on health-related quality of life in obese subjects with and without binge eating disorder. Int J Obes Relat Metab Disord 2002;26:1261–7.

91. Reichborn-Kjennerud T, Bulik CM, Sullivan PF, et al. Psychiatric and medical symptoms in binge eating in the absence of compensatory behaviors. Obes Res 2004;12:1445–54.

92. Hudson JI, Lalonde JK, Coit CE, et al. Longitudinal study of the diagnosis of components of the metabolic syndrome in individuals with binge-eating disorder. Am J Clin Nutr 2010;91:1568–73.

93. Tanofsky-Kraff M, Shomaker LB, Stern EA, et al. Children’s binge eating and development of metabolic syndrome. Int J Obes 2012;36:956–62.

94. Stice E, Marti CN, Durant S. Risk factors for onset of eating disorders: evidence of multiple risk pathways from an 8-year prospective study. Behav Res Ther 2011;49:622–7.

95. Striegel-Moore RH, Fairburn CG, Wilfley DE, et al. Toward an understanding of risk factors for binge-eating disorder in black and white women: a community-based case-control study. Psychol Med 2005;35:907–17.

96. Hilbert A, Pike KM, Goldschmidt AB, et al. Risk factors across the eating disorders. Psychiatry Res 2014;220:500–6.

97. Hudson JI, Lalonde JK, Berry JM, et al. Binge-eating disorder as a distinct familial phenotype in obese individuals. Arch Gen Psychiatry 2006;63:313–19.

98. Mitchell KS, Neale MC, Bulik CM, et al. Binge eating disorder: a symptom-level investigation of genetic and environmental influences on liability. Psychol Med 2010;40:1899–906.

99. Javaras KN, Pope HG, Lalonde JK, et al. Co-occurrence of binge eating disorder with psychiatric and medical disorders. J Clin Psychiatry 2008;69:266–73.

100. Reichborn-Kjennerud T, Bulik CM, Tambs K, et al. Genetic and environmental influences on binge eating in the absence of compensatory behaviors: a population-based twin study. Int J Eat Disord 2004;36:307–14.

101. Javaras KN, Pope HG, Lalonde JK, et al. Co-occurrence of binge eating disorder with psychiatric and medical disorders. J Clin Psychiatry 2008;69:266–73.

102. Davis C, Levitan RD, Yilmaz Z, et al. Binge eating disorder and the dopamine D2 receptor: genotypes and sub-phenotypes. Prog Neuropsychopharmacol Biol Psychiatry 2012;38:328–35.

103. Weygandt M, Schaefer A, Schienle A, et al. Diagnosing different binge-eating disorders based on reward-related brain activation patterns. Hum Brain Mapp 2012;33:2135–46.

104. Wang G-J, Geliebter A, Volkow ND, et al. Enhanced striatal dopamine release during food stimulation in binge eating disorder. Obesity (Silver Spring) 2011;19:1601–8.

105. Schäfer A, Vaitl D, Schienle A. Regional grey matter volume abnormalities in bulimia nervosa and binge-eating disorder. Neuroimage 2010;50:639–43.

106. Hawkins RC, Clement PF. Binge eating: measurement problems and a conceptual model. In: Fremouw WJ, Clement PF, editors. The binge purge syndrome: diagnosis, treatment, and research. New York: Springer;1984:229–51.

107. Heatherton TF, Baumeister RF. Binge eating as escape from self-awareness. Psychol Bull 1991;110:86–108.

108. Deaver CM, Miltenberger RG, Smyth J, et al. An evaluation of affect and binge eating. Behav Modif 2003;27: 578–99.

109. Stickney MI, Miltenberger RG, Wolff G. A descriptive analysis of factors contributing to binge eating. J Behav Ther Exp Psychiatry 1999;30:177–89.

110. Hilbert A, Saelens BE, Stein RI, et al. Pretreatment and process predictors of outcome in interpersonal and cognitive behavioral psychotherapy for binge eating disorder. J Consult Clin Psychol 2007;75:645–51.

111. Haedt-Matt AA, Keel PK. Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecological momentary assessment. Psychol Bull 2012;137:660–81.

112. Cachelin FM, Striegel-Moore RH, Elder K a, et al. Natural course of a community sample of women with binge eating disorder. Int J Eat Disord 1999;25:45–54.

113. Pope HG, Lalonde JK, Pindyck LJ, et al. Binge eating disorder: a stable syndrome. Am J Psychiatry 2006;163:2181–3.

114. Pike KM, Dohm F a, Striegel-Moore RH, et al. A comparison of black and white women with binge eating disorder. Am J Psychiatry 2001;158:1455–60.

115. Cachelin FM, Striegel-Moore RH. Help seeking and barriers to treatment in a community sample of Mexican American and European American women with eating disorders. Int J Eat Disord 2006;39:154–61.

116. Cachelin FM, Rebeck R, Veisel C, et al. Barriers to treatment for eating disorders among ethnically diverse women. Int J Eat Disord 2001;30:269–78.

117. Blaine B, Rodman J. Responses to weight loss treatment among obese individuals with and without BED: a matched-study meta-analysis. Eat Weight Disord 2007;12:54–60.

118. Iacovino JM, Gredysa DM, Altman M, et al. Psychological treatments for binge eating disorder. Curr Psychiatry Rep 2012;14:432–46.

119. Wilson GT, Shafran R. Eating disorders guidelines from NICE. Lancet 2005;365:79–81.

120. Fairburn CG, Cooper Z, Shafran R. Cognitive behaviour therapy for eating disorders: a ‘transdiagnostic’ theory and treatment. Behav Res Ther 2003;41:509–28.

121. Fairburn CG, Cooper Z, Cooper PJ. The clinical features and maintenance of bulimia nervosa. In: Brownell KD, Foreyt JP, editors. Handbook of eating disorders: physiology, psychology and treatment of obesity, anorexia and bulimia. New York: Guiliford;1986:389–404.

122. Grilo CM, Masheb RM, Wilson GT, et al. Cognitive-behavioral therapy, behavioral weight loss, and sequential treatment for obese patients with binge-eating disorder: a randomized controlled trial. J Consult Clin Psychol 2011;79:675–85.

123. Agras WS, Telch CF, Arnow B, et al. One-year follow-up of cognitive-behavioral therapy for obese individuals with binge eating disorder. J Consult Clin Psychol 1997;65:343–7.

124. Dingemans AE, Spinhoven P, van Furth EF. Predictors and mediators of treatment outcome in patients with binge eating disorder. Behav Res Ther 2007;45:2551–62.

125. Eldredge KL, Stewart Agras W, Arnow B, et al. The effects of extending cognitive-behavioral therapy for binge eating disorder among initial treatment nonresponders. Int J Eat Disord 1997;21:347–52.

126. Kenardy J, Mensch M, Bowen K, et al. Group therapy for binge eating in type 2 diabetes: a randomized trial. Diabet Med 2002;19:234–9.

127. Wilson GT, Grilo CM, Vitousek KM. Psychological treatment of eating disorders. Am Psychol 2007;62:199–216.

128. Munsch S, Meyer AH, Biedert E. Efficacy and predictors of long-term treatment success for cognitive-behavioral treatment and behavioral weight-loss-treatment in overweight individuals with binge eating disorder. Behav Res Ther 2012;50:775–8.

129. Brown TA, Keel PK. Current and emerging directions in the treatment of eating disorders. Subst Abuse 2012;6: 33–61.

130. Wilfley DE, Welch RR, Stein RI, et al. A randomized comparison of group cognitive-behavioral therapy and group interpersonal psychotherapy for the treatment of overweight individuals with binge-eating disorder. Arch Gen Psychiatry 2002;59:713–21.

131. Grilo CM, Masheb RM, Wilson GT. Efficacy of cognitive behavioral therapy and fluoxetine for the treatment of binge eating disorder: a randomized double-blind placebo-controlled comparison. Biol Psychiatry 2005;57:301–9.

132. Gorin AA, Le Grange D, Stone AA. Effectiveness of spouse involvement in cognitive behavioral therapy for binge eating disorder. Int J Eat Disord 2003; 33: 421–33.

133. Wilson GT, Wilfley DE, Agras WS, et al. Psychological treatments for binge eating disorder. Arch Gen Psychiatry 2010;67:94–101.

134. Ricca V, Castellini G, Mannucci E, et al. Comparison of individual and group cognitive behavioral therapy for binge eating disorder. a randomized, three-year follow-up study. Appetite 2010;55:656–65.

135. Wilfley DE, Friedman MA, Dounchis JZ, et al. Comorbid psychopathology in binge eating disorder: relation to eating disorder severity at baseline and following treatment. J Consult Clin Psychol 2000;68:641–9.

136. Castellini G, Mannucci E, Lo Sauro C, et al. Different moderators of cognitive-behavioral therapy on subjective and objective binge eating in bulimia nervosa and binge eating disorder: a three-year follow-up study. Psychother Psychosom 2012;81:11–20.

137. Grilo CM, Masheb RM, Crosby RD. Predictors and moderators of response to cognitive behavioral therapy and medication for the treatment of binge eating disorder. J Consult Clin Psychol 2012;80:897–906.

138. Grilo CM, Masheb RM, Wilson GT. Rapid response to treatment for binge eating disorder. J Consult Clin Psychol 2006;74:602–13.

139. Grilo CM, Masheb RM. Rapid response predicts binge eating and weight loss in binge eating disorder: findings from a controlled trial of orlistat with guided self-help cognitive behavioral therapy. Behav Res Ther 2007;45:2537–50.

140. Grilo CM, White MA, Wilson GT, et al. Rapid response predicts 12-month post-treatment outcomes in binge-eating disorder: theoretical and clinical implications. Psychol Med 2012;42:807–17.

141. Hilbert A, Hildebrandt T, Agras WS, et al. Rapid response in psychological treatments for binge eating disorder. 2015;83:649–654.

142. Masheb RM, Grilo CM. Rapid response predicts treatment outcomes in binge eating disorder: implications for stepped care. J Consult Clin Psychol 2007;75:639–44.

143. Safer DL, Joyce EE. Does rapid response to two group psychotherapies for binge eating disorder predict abstinence? Behav Res Ther 2011;49:339–45.

144. Zunker C, Peterson CB, Cao L, et al. A receiver operator characteristics analysis of treatment outcome in binge eating disorder to identify patterns of rapid response. Behav Res Ther 2010;48:1227–31.

145. Wilfley DE, Frank M, Welch R, et al. Adapting interpersonal psychotherapy to a group format (IPT-G) for binge eating disorder: toward a model for adapting empirically supported treatments. Psychother Res 1998;8:379–81.

146. Blomquist KK, Ansell EB, White M a, et al. Interpersonal problems and developmental trajectories of binge eating disorder. Compr Psychiatry 2012;53:1088–95.

147. Hilbert A, Bishop ME, Stein RI, et al. Long-term efficacy of psychological treatments for binge eating disorder. Br J Psychiatry 2012;200:232–7.

148. Linehan MM. Cognitive-behavioral treatment of borderline personality disorders. New York: Guilford Press; 1993.

149. Wiser S, Telch CF. Dialectical behavior therapy for Binge-Eating Disorder. J Clin Psychol 1999;55:755–68.

150. Telch CF, Agras WS, Linehan MM. Group dialectical behavior therapy for binge-eating disorder:a preliminary, uncontrolled trial. Behav Ther 2000;31:569–82.

151. Telch CF, Agras WS, Linehan MM. Dialectical behavior therapy for binge eating disorder. J Consult Clin Psychol 2001;69:1061–5.

152. Safer DL, Robinson AH, JB. Outcome from a randomized controlled trial of group therapy for binge eating disorder: comparing dialectical behavior therapy adapted for binge eating to an active comparison group therapy. Behav Ther 2010;41:106–20.

153. Baer RA. Mindfulness-based treatment approaches: Clinician’s guide to evidence base and applications. San Diego: Academic Press; 2005.

154. Van Strien T Van, Engels RCME, Leeuwe J Van, et al. The Stice model of overeating: Tests in clinical and non-clinical samples. Appetite 2005;45:205–13.

155. Godfrey KM, Gallo LC, Afari N. Mindfulness-based interventions for binge eating: a systematic review and meta-analysis. J Behav Med 2015;38:348–362.

156. Kristeller JL, Hallett CB. An exploratory study of a meditation-based intervention for binge eating disorder. J Health Psychol 1999;4:357–63.

157. Kristeller JL, Wolever RQ. Mindfulness-based eating awareness training for treating binge eating disorder: the conceptual foundation. Eat Disord 2011;19:49–61.

158. Kristeller J, Wolever RQ, Sheets V. Mindfulness-based eating awareness training (MB-EAT) for binge eating: a randomized clinical trial. Mindfulness (N Y) 2014;5:282–97.

159. Weineland S, Arvidsson D, Kakoulidis TP, et al. Acceptance and commitment therapy for bariatric surgery patients, a pilot RCT. Obes Res Clin Pract 2012;6:e21–30.

160. Fairburn CG. Overcoming binge eating. 2nd ed. New York: Guilford Press; 2013.

161. Carter JC, Fairburn CG. Cognitive-behavioral self-help for binge eating disorder: a controlled effectiveness study. J Consult Clin Psychol 1998;66:616–23.

162. Loeb KL, Wilson GT, Gilbert JS, et al. Guided and unguided self-help for binge eating. Behav Res Ther 2000;38:259–72.

163. Masheb RM, Grilo CM. Prognostic significance of two sub-categorization methods for the treatment of binge eating disorder: Negative affect and overvaluation predict, but do not moderate, specific outcomes. Behav Res Ther 2008;46:428–37.

164. Grilo CM, Masheb RM. A randomized controlled comparison of guided self-help cognitive behavioral therapy and behavioral weight loss for binge eating disorder. Behav Res Ther 2005;43:1509–25.

165. Citrome L. Vortioxetine for major depressive disorder: A systematic review of the efficacy and safety profile for this newly approved antidepressant - What is the number needed to treat, number needed to harm and likelihood to be helped or harmed? Int J Clin Pract 2015; 68:60–82.

166. Guerdjikova A, McElroy S, Kotwal R, et al. High-dose escitalopram in the treatment of binge-eating disorder with obesity: a placebo-controlled monotherapy trial. Hum Psychopharmacol 2008;23:1–11.

167. McElroy S, Hudson J, Malhotra JL, et al. Citalopram in the treatment of binge-eating disorder: a placebo-controlled trial. J Clin Psychiatry 2003;64:807–13.

168. McElroy S, Casuto L, Nelson EB, et al. Placebo-controlled trial of sertraline in the treatment of binge eating disorder. Am J Psychiatry 2000;157:1004–6.

169. McElroy S, Hudson J, Mitchell JE, et al. Efficacy and safety of lisdexamfetamine for treatment of adults with moderate to severe binge-eating disorder: a randomized clinical trial. JAMA Psychiatry 2015;72:235–46.

170. Pearlstein T, Spurell E, Hohlstein LA, et al. A double-blind, placebo-controlled trial of fluvoxamine in binge eating disorder: a high placebo response. Arch Women’s Ment Health 2003;6:147–51.

171. Hudson J, McElroy S. Raymond NC, et al. Fluvoxamine in the treatment of binge-eating disorder: a multicenter placebo-controlled, double-blind trial. Am J Psychiatry 1998;155:1756–62.

172. Miller W, Rollnick S. Motivational Interviewing: helping people change. 3rd ed. New York: Guilford Press; 2013.

173. Rollnick S, Miller W, Butler C. Motivational interviewing in health care: helping patients change behavior. New York: Guilford Press; 2008.

References

1. Stunkard AJ. Eating patterns and obesity. Psychiatr Q 1959;33:284–95.

2. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed. Text revision. Washington (DC): The Association; 2000.

3. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: The Association; 2013.

4. Reas D, Grilo C. Pharmacological treatment of binge eating disorder: update review and synthesis. Hum Psychopharmacol Clin Exp 2015;23:1463–78.

5. Wilson G. Treatment of binge eating disorder. Psychiatr Clin North Am 2011;34:773–83.

6. Wonderlich SA, Gordon KH, Mitchell JE, et al. The validity and clinical utility of binge eating disorder. Int J Eat Disord 2009;42:687–705.

7. Walsh BT, Boudreau G. Laboratory studies of binge eating disorder. Int J Eat Disord 2003;34 Suppl:S30–8.

8. Guss JL, Kissileff HR, Devlin MJ, et al. Binge size increases with body mass index in women with binge-eating disorder. Obes Res 2002;10:1021–9.

9. Fairburn CG, Cooper Z. The eating disorder examination. In: Fairburn CG, Cooper Z, editors. Binge eating: nature, assessment, and treatment. New York: Guilford Press;1993:317–60.

10. Keel PK, Mayer SA, Harnden-Fischer JH. Importance of size in defining binge eating episodes in bulimia nervosa. Int J Eat Disord 2001;29:294–301.

11. Niego SH, Pratt EM, Agras WS. Subjective or objective binge: is the distinction valid? Int J Eat Disord 1997;22: 291–8.

12. Pratt E, Niego S, Agras W. Does the size of a binge matter? Int J Eat 1998;24:307–12.

13. Wolfe BE, Baker CW, Smith AT, et al. Validity and utility of the current definition of binge eating. Int J Eat Disord 2009;42:674–86.

14. Latner JD, Clyne C. The diagnostic validity of the criteria for binge eating disorder. Int J Eat Disord 2008;41:1–14.

15. Johnson WG, Boutelle KN, Torgrud L. What is a binge? The influence of amount, duration, and loss of control criterial on judgements of binge eating. Int J Eat Disord 2000;27:471–9.

16. Johnson WG, Roberson-NR, Rohan KJ, et al. An experimental investigation of DSM-IV binge-eating criteria. Eat Behav 2003;4:295–303.

17. Reslan S, Saules KK. College students’ definitions of an eating ‘binge’ differ as a function of gender and binge eating disorder status. Eat Behav 2011;12:225–7.

18. Telch CF, Pratt EM, Niego SH. Obese women with binge eating disorder define the term binge. Int J Eat Disord 1998;24:313–7.

19. Colles SL, Dixon JB, O’Brien PE. Loss of control is central to psychological disturbance associated with binge eating disorder. Obesity (Silver Spring) 2008;16:608–14.

20. Stein KF, Kenardy J, Wiseman C V, et al. What’s driving the binge in binge eating disorder? A prospective examination of precursors and consequences. Int J Eat Disord 2007;40:195–203.

21. Rossiter EM, Agras WS, Telch CF, et al. The eating patterns of non-purging bulimic subjects. Int J Eat Disord 1992;11:111–120.

22. Grilo CM, White MA. A controlled evaluation of the distress criterion for binge eating disorder. J Consult Clin Psychol 2011;79:509–14.

23. Trace SE, Thornton LM, Root TL, et al. Effects of reducing the frequency and duration criteria for binge eating on lifetime prevalence of bulimia nervosa and binge eating disorder: implications for DSM-5. Int J Eat Disord 2012;45: 531–6.

24. Wilson GT, Sysko R. Frequency of binge eating episodes in bulimia nervosa and binge eating disorder: diagnostic considerations. Int J Eat Disord 2009;42:603–10.

25. Sysko R, Roberto CA, Barnes RD, et al. Test-retest reliability of the proposed DSM-5 eating disorder diagnostic criteria. Psychiatry Res 2012;196:302–8.

26. Fairburn CG, Cooper Z, Doll HA, et al. The natural course of bulimia nervosa and binge eating disorder in young women. Arch Gen Psychiatry 2000;57:659–65.

27. Grilo CM, Ivezaj V, White MA. Evaluation of the DSM-5 severity indicator for binge eating disorder in a community sample. Behav Res Ther 2015;66:72–6.

28. Hudson JI, Hiripi E, Pope HG, et al. The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication. Biol Psychiatry 2007;61:348–58.

29. Stice E, Marti CN, Rohde P. Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8-year prospective community study of young women. J Abnorm Psychol 2012;122:445–57.

30. Mangweth-Matzek B, Hoek HW, Rupp CI, et al. Prevalence of eating disorders in middle-aged women. Int J Eat Disord 2014;47:320–4.

31. Ivezaj V, Saules KK, Hoodin F, et al. The relationship between binge eating and weight status on depression, anxiety, and body image among a diverse college sample: a focus on bi/multiracial women. Eat Behav 2010;11:18–24.

32. Striegel-Moore RH, Bedrosian R, Wang C, et al. Why men should be included in research on binge eating: results from a comparison of psychosocial impairment in men and women. Int J Eat Disord 2012;45:233–40.

33. Womble LG, Williamson DA, Martin CK, et al. Psychosocial variables associated with binge eating in obese males and females. Int J Eat Disord 2001;30:217–21.

34. Udo T, McKee SA., White MA., et al. Sex differences in biopsychosocial correlates of binge eating disorder: a study of treatment-seeking obese adults in primary care setting. Gen Hosp Psychiatry 2013;35:587–91.

35. Udo T, McKee SA., White MA, et al. Menopause and metabolic syndrome in obese individuals with binge eating disorder. Eat Behav 2014;15:182–5.

36. Napolitano MA., Himes S. Race, weight, and correlates of binge eating in female college students. Eat Behav 2011;12:29–36.

37. Sorbara M, Geliebter A. Body image disturbance in obese outpatients before and after weight loss in relation to race, gender, binge eating, and age of onset of obesity. Int J Eat Disord 2002;31:416–23.

38. Alegria M, Woo M, Cao Z, et al. Prevalence and correlates of eating disorders in Latinos in the U.S. Int J Eat Disord 2007;40:S15–21.

39. Striegel-Moore RH, Wilfley DE, Pike KM, et al. Recurrent binge eating in black American women. Arch Fam Med 2000;9: 83–7.

40. Reslan S, Saules KK. Assessing the prevalence of and factors associated with overweight, obesity, and binge eating as a function of ethnicity. Eat Weight Disord-St 2013;18:209–19.

41. Grilo CM, White MA, Barnes RD, et al. Psychiatric disorder co-morbidity and correlates in an ethnically diverse sample of obese patients with binge eating disorder in primary care settings. Compr Psychiatry 2012;54:209–16.

42. Smolak L, Striegel Moore RH. Challenging the myth of the golden girl: ethnicity and eating disorders. In: Smolak L, Striegel Moore RH, editors. Eating disorders innovative directions in research and practice. Washington (DC): American Psychological Association;2001:111–32.

43. Wildes JE, Emery RE. The role of ethnicity and culture in the development of eating disturbance and body dissatisfaction: a meta-analutic review. Clin Phychology Rev 2001;21:521–50.

44. George JBE, Franko DL. Cultural issues in eating pathology and body image among children and adolescents. J Pediatr Psychol 2010;35:231–42.

45. Kelly NR, Cotter EW, Tanofsky-Kraff M, et al. Racial variations in binge eating, body image concerns, and compulsive exercise among men. Psychol Men Masc 2014;13:326-36.

46. Franko DL, Thompson-Brenner H, Thompson DR, et al. Racial/ethnic differences in adults in randomized clinical trials of binge eating disorder. J Consult Clin Psychol 2012;80:186–95.

47. Marques L, Alegria M, Becker AE, et al. Comparative prevalence, correlates of impairment, and service utilization for eating disorders across U.S. ethnic groups: Implications for reducing ethnic disparities in health care access for eating disorders. Int J Eat Disord 2012;44:412–20.

48. Guerdjikova AI, O’Melia AM, Mori N, et al. Binge eating disorder in elderly individuals. Int J Eat Disord 2012;45: 905–8.

49. Fairburn CG. Beglin SJ. Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord 1994;16:363–70.

50. Spitzer R, Yanovski S, Marcus M. The questionnaire on eating and weight patterns-revised (QEWP-R). New York State Psychiatric Institute, Mew York 1993.

51. Barnes RD, Masheb RM, White MA, et al. Comparison of methods for identifying and assessing obese patients with binge eating disorder in primary care settings. Int J Eat Disord 2011;44:157–63.

52. Yanovski SZ, Marcus MD, Wadden TA, et al. The questionnaire on eating and weight patterns-5: an updated screening instrument for binge eating disorder. Int J Eat Disord 2015;48:259–61.

53. Gormally J, Black S, Daston S, et al. The assessment of binge eating severity among obese persons. Addict Behav 1982;7:47–55.

54. Alfonsson S. Replacing the term ‘binge eating’ with ‘loss of control over eating’ affects eating disorder screening in clinical care. Obes Res Clin Pract 2015;6–7.

55. Kelly NR, Mitchell KS, Gow RW, et al. An evaluation of the reliability and construct validity of eating disorder measures in white and black women. Psychol Assess 2012;24:608–17.

56. Richards LK, McHugh RK, Pratt EM, et al. Readability and comprehension of self-report binge eating measures. Eat Behav 2013;14:167–70.

57. Masheb RM, White MA, Grilo CM. Substantial weight gains are common prior to treatment-seeking in obese patients with binge eating disorder. Compr Psychiatry 2013;54:880–4.

58.  Heaner MK, Walsh BT. A history of the identification of the characteristic eating disturbances of Bulimia Nervosa, Binge Eating Disorder and Anorexia Nervosa. Appetite 2013;65:185–8.

59. Greeno CG, Wing RR, Shiffman S. Binge antecedents in obese women with and without binge eating disorder. J Consult Clin Psychol 2000;68:95–102.

60. Le Grange D, Gorin A, Catley D, et al. Does momentary assessment detect binge eating in overweight women that is denied at interview? Eur Eat Disord Rev 2001;9:309–24.

61. Brody ML, Walsh BT, Devlin MJ. Binge eating disorder: reliability and validity of a new diagnostic category. J Consult Clin Psychol 1994;62:381–6.

62. Hsu LKG, Mulliken B, McDonagh B, et al. Binge eating disorder in extreme obesity. Int J Obes Relat Metab Disord 2002;26:1398–403.

63. Wilfley DE, Schwartz MB, Spurrell EB, et al. Using the eating disorder examination to identify the specific psychopathology of binge eating disorder. Int J Eat Disord 2000;27:259–69.

64. Grucza RA, Przybeck TR, Cloninger CR. Prevalence and correlates of binge eating disorder in a community sample. Compr Psychiatry 2007;48:124–31..

65. Telch CF, Stice E. Psychiatric comorbidity in women with binge eating disorder: prevalence rates from a non-treatment-seeking sample. J Consult Clin Psychol 1998;66:768–76.

66. Wilfley DE, Bishop ME, Wilson GT, et al. Classification of eating disorders: toward DSM-V. Int J Eat Disord 2007; 40:s123–9.

67. Wilfley DE, Wilson GT, Agras WS. The clinical significance of binge eating disorder. Int J Eat Disord 2003;34 Suppl:S96–106.

68. Perez M, Warren CS. The relationship between quality of life, binge-eating disorder, and obesity status in an ethnically diverse sample. Obesity (Silver Spring) 2012;20:879–85.

69. Bulik CM, Sullivan PF, Kendler KS. An empirical study of the classification of eating disorders. Am J Psychiatry 2000;157:886–95.

70. Keel PK, Heatherton TF, Dorer DJ, et al. Point prevalence of bulimia nervosa in 1982, 1992, and 2002. Psychol Med 2006;36:119–27.

71. Mitchell JE, Crosby RD, Wonderlich SA, et al. Latent profile analysis of a cohort of patients with eating disorders not otherwise specified. Int J Eat Disord 2007;40:s95–8.

72. Rockert W, Kaplan AS, Olmsted MP. Eating disorder not otherwise specified : the view from a tertiary care treatment center. Int J Eat Disord 2007;40:s99–103.

73. Striegel-Moore RH, Franko DL, Thompson D, et al. An empirical study of the typology of bulimia nervosa and its spectrum variants. Psychol Med 2005;35:1563–72.

74. Sullivan PF, Bulik CM, Kendler KS. The epidemiology and classification of bulimia nervosa. Psychol Med 1998;28:599–610.

75. Wade TD, Crosby RD, Martin NG. Use of latent profile analysis to identify eating disorder phenotypes in an adult Australian twin cohort. Arch Gen Psychiatry 2006;63:1377–84.

76. Striegel-Moore RH, Franko DL. Should binge eating disorder be included in the DSM-V? A critical review and state of the evidence. Annu Rev Clin Psychol 2008;4:305–24.

77. Striegel-Moore RH, Cachelin FM. Etiology of eating disorders in women. Couns Psychol 2001;29:635–61.

78. Crow SJ, Stewart Agras W, Halmi K, et al. Full syndromal versus subthreshold anorexia nervosa, bulimia nervosa, and binge eating disorder: a multicenter study. Int J Eat Disord 2002;32:309–18.

79. Striegel-Moore RH, Cachelin FM, Dohm F a, et al. Comparison of binge eating disorder and bulimia nervosa in a community sample. Int J Eat Disord 2001;29:157–65.

80. Wilfley DE, Schwartz MB, Spurrell EB, et al. Assessing the specific psychopathology of binge eating disorder patients: Interview or self-report? Behav Res Ther 1997;35:1151–9.

81. Fairburn CG, Doll HA, Welch SL, et al. Risk factors for binge eating disorder. Arch Gen Psychiatry 1998;55:425–32.

82. Grilo CM, White M a., Barnes RD, et al. Posttraumatic stress disorder in women with binge eating disorder in primary care. J Psychiatr Pract 2012;18:408–12.

83. Cassin SE, von Ranson KM. Is binge eating experienced as an addiction? Appetite 2007;49:687–90.

84. Kelly-Weeder S, Jennings KM, Wolfe BE. Gender differences in binge eating and behavioral correlates among college students. Eat Weight Disord 2012;17:e200–2.

85. Pomerleau CS, Ehrlich E, Tate JC, et al. The female weight-control smoker: a profile. J Subst Abuse 1993;5:391–400.

86. White MA, Masheb RM, Grilo CM. Function of binge eating behavior. Int J Eat Disord 2010;43:572–75.

87. Bulik CM, Reichborn-Kjennerud T. Medical morbidity in binge eating disorder. Int J Eat Disord 2003;34:S39–46.

88. Johnson JG, Spitzer RL, Williams JBW. Health problems, impairment and illnesses associated with bulimia nervosa and binge eating disorder among primary care and obstetric gynaecology patients. Psychol Med 2001;31.

89. Mond JM, Hay PJ, Rodgers B, et al. Assessing quality of life in eating disorder patients. Qual Life Res 2005;14:171–8.

90. Marchesini G, Natale S, Chierici S, et al. Effects of cognitive-behavioural therapy on health-related quality of life in obese subjects with and without binge eating disorder. Int J Obes Relat Metab Disord 2002;26:1261–7.

91. Reichborn-Kjennerud T, Bulik CM, Sullivan PF, et al. Psychiatric and medical symptoms in binge eating in the absence of compensatory behaviors. Obes Res 2004;12:1445–54.

92. Hudson JI, Lalonde JK, Coit CE, et al. Longitudinal study of the diagnosis of components of the metabolic syndrome in individuals with binge-eating disorder. Am J Clin Nutr 2010;91:1568–73.

93. Tanofsky-Kraff M, Shomaker LB, Stern EA, et al. Children’s binge eating and development of metabolic syndrome. Int J Obes 2012;36:956–62.

94. Stice E, Marti CN, Durant S. Risk factors for onset of eating disorders: evidence of multiple risk pathways from an 8-year prospective study. Behav Res Ther 2011;49:622–7.

95. Striegel-Moore RH, Fairburn CG, Wilfley DE, et al. Toward an understanding of risk factors for binge-eating disorder in black and white women: a community-based case-control study. Psychol Med 2005;35:907–17.

96. Hilbert A, Pike KM, Goldschmidt AB, et al. Risk factors across the eating disorders. Psychiatry Res 2014;220:500–6.

97. Hudson JI, Lalonde JK, Berry JM, et al. Binge-eating disorder as a distinct familial phenotype in obese individuals. Arch Gen Psychiatry 2006;63:313–19.

98. Mitchell KS, Neale MC, Bulik CM, et al. Binge eating disorder: a symptom-level investigation of genetic and environmental influences on liability. Psychol Med 2010;40:1899–906.

99. Javaras KN, Pope HG, Lalonde JK, et al. Co-occurrence of binge eating disorder with psychiatric and medical disorders. J Clin Psychiatry 2008;69:266–73.

100. Reichborn-Kjennerud T, Bulik CM, Tambs K, et al. Genetic and environmental influences on binge eating in the absence of compensatory behaviors: a population-based twin study. Int J Eat Disord 2004;36:307–14.

101. Javaras KN, Pope HG, Lalonde JK, et al. Co-occurrence of binge eating disorder with psychiatric and medical disorders. J Clin Psychiatry 2008;69:266–73.

102. Davis C, Levitan RD, Yilmaz Z, et al. Binge eating disorder and the dopamine D2 receptor: genotypes and sub-phenotypes. Prog Neuropsychopharmacol Biol Psychiatry 2012;38:328–35.

103. Weygandt M, Schaefer A, Schienle A, et al. Diagnosing different binge-eating disorders based on reward-related brain activation patterns. Hum Brain Mapp 2012;33:2135–46.

104. Wang G-J, Geliebter A, Volkow ND, et al. Enhanced striatal dopamine release during food stimulation in binge eating disorder. Obesity (Silver Spring) 2011;19:1601–8.

105. Schäfer A, Vaitl D, Schienle A. Regional grey matter volume abnormalities in bulimia nervosa and binge-eating disorder. Neuroimage 2010;50:639–43.

106. Hawkins RC, Clement PF. Binge eating: measurement problems and a conceptual model. In: Fremouw WJ, Clement PF, editors. The binge purge syndrome: diagnosis, treatment, and research. New York: Springer;1984:229–51.

107. Heatherton TF, Baumeister RF. Binge eating as escape from self-awareness. Psychol Bull 1991;110:86–108.

108. Deaver CM, Miltenberger RG, Smyth J, et al. An evaluation of affect and binge eating. Behav Modif 2003;27: 578–99.

109. Stickney MI, Miltenberger RG, Wolff G. A descriptive analysis of factors contributing to binge eating. J Behav Ther Exp Psychiatry 1999;30:177–89.

110. Hilbert A, Saelens BE, Stein RI, et al. Pretreatment and process predictors of outcome in interpersonal and cognitive behavioral psychotherapy for binge eating disorder. J Consult Clin Psychol 2007;75:645–51.

111. Haedt-Matt AA, Keel PK. Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecological momentary assessment. Psychol Bull 2012;137:660–81.

112. Cachelin FM, Striegel-Moore RH, Elder K a, et al. Natural course of a community sample of women with binge eating disorder. Int J Eat Disord 1999;25:45–54.

113. Pope HG, Lalonde JK, Pindyck LJ, et al. Binge eating disorder: a stable syndrome. Am J Psychiatry 2006;163:2181–3.

114. Pike KM, Dohm F a, Striegel-Moore RH, et al. A comparison of black and white women with binge eating disorder. Am J Psychiatry 2001;158:1455–60.

115. Cachelin FM, Striegel-Moore RH. Help seeking and barriers to treatment in a community sample of Mexican American and European American women with eating disorders. Int J Eat Disord 2006;39:154–61.

116. Cachelin FM, Rebeck R, Veisel C, et al. Barriers to treatment for eating disorders among ethnically diverse women. Int J Eat Disord 2001;30:269–78.

117. Blaine B, Rodman J. Responses to weight loss treatment among obese individuals with and without BED: a matched-study meta-analysis. Eat Weight Disord 2007;12:54–60.

118. Iacovino JM, Gredysa DM, Altman M, et al. Psychological treatments for binge eating disorder. Curr Psychiatry Rep 2012;14:432–46.

119. Wilson GT, Shafran R. Eating disorders guidelines from NICE. Lancet 2005;365:79–81.

120. Fairburn CG, Cooper Z, Shafran R. Cognitive behaviour therapy for eating disorders: a ‘transdiagnostic’ theory and treatment. Behav Res Ther 2003;41:509–28.

121. Fairburn CG, Cooper Z, Cooper PJ. The clinical features and maintenance of bulimia nervosa. In: Brownell KD, Foreyt JP, editors. Handbook of eating disorders: physiology, psychology and treatment of obesity, anorexia and bulimia. New York: Guiliford;1986:389–404.

122. Grilo CM, Masheb RM, Wilson GT, et al. Cognitive-behavioral therapy, behavioral weight loss, and sequential treatment for obese patients with binge-eating disorder: a randomized controlled trial. J Consult Clin Psychol 2011;79:675–85.

123. Agras WS, Telch CF, Arnow B, et al. One-year follow-up of cognitive-behavioral therapy for obese individuals with binge eating disorder. J Consult Clin Psychol 1997;65:343–7.

124. Dingemans AE, Spinhoven P, van Furth EF. Predictors and mediators of treatment outcome in patients with binge eating disorder. Behav Res Ther 2007;45:2551–62.

125. Eldredge KL, Stewart Agras W, Arnow B, et al. The effects of extending cognitive-behavioral therapy for binge eating disorder among initial treatment nonresponders. Int J Eat Disord 1997;21:347–52.

126. Kenardy J, Mensch M, Bowen K, et al. Group therapy for binge eating in type 2 diabetes: a randomized trial. Diabet Med 2002;19:234–9.

127. Wilson GT, Grilo CM, Vitousek KM. Psychological treatment of eating disorders. Am Psychol 2007;62:199–216.

128. Munsch S, Meyer AH, Biedert E. Efficacy and predictors of long-term treatment success for cognitive-behavioral treatment and behavioral weight-loss-treatment in overweight individuals with binge eating disorder. Behav Res Ther 2012;50:775–8.

129. Brown TA, Keel PK. Current and emerging directions in the treatment of eating disorders. Subst Abuse 2012;6: 33–61.

130. Wilfley DE, Welch RR, Stein RI, et al. A randomized comparison of group cognitive-behavioral therapy and group interpersonal psychotherapy for the treatment of overweight individuals with binge-eating disorder. Arch Gen Psychiatry 2002;59:713–21.

131. Grilo CM, Masheb RM, Wilson GT. Efficacy of cognitive behavioral therapy and fluoxetine for the treatment of binge eating disorder: a randomized double-blind placebo-controlled comparison. Biol Psychiatry 2005;57:301–9.

132. Gorin AA, Le Grange D, Stone AA. Effectiveness of spouse involvement in cognitive behavioral therapy for binge eating disorder. Int J Eat Disord 2003; 33: 421–33.

133. Wilson GT, Wilfley DE, Agras WS, et al. Psychological treatments for binge eating disorder. Arch Gen Psychiatry 2010;67:94–101.

134. Ricca V, Castellini G, Mannucci E, et al. Comparison of individual and group cognitive behavioral therapy for binge eating disorder. a randomized, three-year follow-up study. Appetite 2010;55:656–65.

135. Wilfley DE, Friedman MA, Dounchis JZ, et al. Comorbid psychopathology in binge eating disorder: relation to eating disorder severity at baseline and following treatment. J Consult Clin Psychol 2000;68:641–9.

136. Castellini G, Mannucci E, Lo Sauro C, et al. Different moderators of cognitive-behavioral therapy on subjective and objective binge eating in bulimia nervosa and binge eating disorder: a three-year follow-up study. Psychother Psychosom 2012;81:11–20.

137. Grilo CM, Masheb RM, Crosby RD. Predictors and moderators of response to cognitive behavioral therapy and medication for the treatment of binge eating disorder. J Consult Clin Psychol 2012;80:897–906.

138. Grilo CM, Masheb RM, Wilson GT. Rapid response to treatment for binge eating disorder. J Consult Clin Psychol 2006;74:602–13.

139. Grilo CM, Masheb RM. Rapid response predicts binge eating and weight loss in binge eating disorder: findings from a controlled trial of orlistat with guided self-help cognitive behavioral therapy. Behav Res Ther 2007;45:2537–50.

140. Grilo CM, White MA, Wilson GT, et al. Rapid response predicts 12-month post-treatment outcomes in binge-eating disorder: theoretical and clinical implications. Psychol Med 2012;42:807–17.

141. Hilbert A, Hildebrandt T, Agras WS, et al. Rapid response in psychological treatments for binge eating disorder. 2015;83:649–654.

142. Masheb RM, Grilo CM. Rapid response predicts treatment outcomes in binge eating disorder: implications for stepped care. J Consult Clin Psychol 2007;75:639–44.

143. Safer DL, Joyce EE. Does rapid response to two group psychotherapies for binge eating disorder predict abstinence? Behav Res Ther 2011;49:339–45.

144. Zunker C, Peterson CB, Cao L, et al. A receiver operator characteristics analysis of treatment outcome in binge eating disorder to identify patterns of rapid response. Behav Res Ther 2010;48:1227–31.

145. Wilfley DE, Frank M, Welch R, et al. Adapting interpersonal psychotherapy to a group format (IPT-G) for binge eating disorder: toward a model for adapting empirically supported treatments. Psychother Res 1998;8:379–81.

146. Blomquist KK, Ansell EB, White M a, et al. Interpersonal problems and developmental trajectories of binge eating disorder. Compr Psychiatry 2012;53:1088–95.

147. Hilbert A, Bishop ME, Stein RI, et al. Long-term efficacy of psychological treatments for binge eating disorder. Br J Psychiatry 2012;200:232–7.

148. Linehan MM. Cognitive-behavioral treatment of borderline personality disorders. New York: Guilford Press; 1993.

149. Wiser S, Telch CF. Dialectical behavior therapy for Binge-Eating Disorder. J Clin Psychol 1999;55:755–68.

150. Telch CF, Agras WS, Linehan MM. Group dialectical behavior therapy for binge-eating disorder:a preliminary, uncontrolled trial. Behav Ther 2000;31:569–82.

151. Telch CF, Agras WS, Linehan MM. Dialectical behavior therapy for binge eating disorder. J Consult Clin Psychol 2001;69:1061–5.

152. Safer DL, Robinson AH, JB. Outcome from a randomized controlled trial of group therapy for binge eating disorder: comparing dialectical behavior therapy adapted for binge eating to an active comparison group therapy. Behav Ther 2010;41:106–20.

153. Baer RA. Mindfulness-based treatment approaches: Clinician’s guide to evidence base and applications. San Diego: Academic Press; 2005.

154. Van Strien T Van, Engels RCME, Leeuwe J Van, et al. The Stice model of overeating: Tests in clinical and non-clinical samples. Appetite 2005;45:205–13.

155. Godfrey KM, Gallo LC, Afari N. Mindfulness-based interventions for binge eating: a systematic review and meta-analysis. J Behav Med 2015;38:348–362.

156. Kristeller JL, Hallett CB. An exploratory study of a meditation-based intervention for binge eating disorder. J Health Psychol 1999;4:357–63.

157. Kristeller JL, Wolever RQ. Mindfulness-based eating awareness training for treating binge eating disorder: the conceptual foundation. Eat Disord 2011;19:49–61.

158. Kristeller J, Wolever RQ, Sheets V. Mindfulness-based eating awareness training (MB-EAT) for binge eating: a randomized clinical trial. Mindfulness (N Y) 2014;5:282–97.

159. Weineland S, Arvidsson D, Kakoulidis TP, et al. Acceptance and commitment therapy for bariatric surgery patients, a pilot RCT. Obes Res Clin Pract 2012;6:e21–30.

160. Fairburn CG. Overcoming binge eating. 2nd ed. New York: Guilford Press; 2013.

161. Carter JC, Fairburn CG. Cognitive-behavioral self-help for binge eating disorder: a controlled effectiveness study. J Consult Clin Psychol 1998;66:616–23.

162. Loeb KL, Wilson GT, Gilbert JS, et al. Guided and unguided self-help for binge eating. Behav Res Ther 2000;38:259–72.

163. Masheb RM, Grilo CM. Prognostic significance of two sub-categorization methods for the treatment of binge eating disorder: Negative affect and overvaluation predict, but do not moderate, specific outcomes. Behav Res Ther 2008;46:428–37.

164. Grilo CM, Masheb RM. A randomized controlled comparison of guided self-help cognitive behavioral therapy and behavioral weight loss for binge eating disorder. Behav Res Ther 2005;43:1509–25.

165. Citrome L. Vortioxetine for major depressive disorder: A systematic review of the efficacy and safety profile for this newly approved antidepressant - What is the number needed to treat, number needed to harm and likelihood to be helped or harmed? Int J Clin Pract 2015; 68:60–82.

166. Guerdjikova A, McElroy S, Kotwal R, et al. High-dose escitalopram in the treatment of binge-eating disorder with obesity: a placebo-controlled monotherapy trial. Hum Psychopharmacol 2008;23:1–11.

167. McElroy S, Hudson J, Malhotra JL, et al. Citalopram in the treatment of binge-eating disorder: a placebo-controlled trial. J Clin Psychiatry 2003;64:807–13.

168. McElroy S, Casuto L, Nelson EB, et al. Placebo-controlled trial of sertraline in the treatment of binge eating disorder. Am J Psychiatry 2000;157:1004–6.

169. McElroy S, Hudson J, Mitchell JE, et al. Efficacy and safety of lisdexamfetamine for treatment of adults with moderate to severe binge-eating disorder: a randomized clinical trial. JAMA Psychiatry 2015;72:235–46.

170. Pearlstein T, Spurell E, Hohlstein LA, et al. A double-blind, placebo-controlled trial of fluvoxamine in binge eating disorder: a high placebo response. Arch Women’s Ment Health 2003;6:147–51.

171. Hudson J, McElroy S. Raymond NC, et al. Fluvoxamine in the treatment of binge-eating disorder: a multicenter placebo-controlled, double-blind trial. Am J Psychiatry 1998;155:1756–62.

172. Miller W, Rollnick S. Motivational Interviewing: helping people change. 3rd ed. New York: Guilford Press; 2013.

173. Rollnick S, Miller W, Butler C. Motivational interviewing in health care: helping patients change behavior. New York: Guilford Press; 2008.

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Fewer doses of PCV13 could save money – but at what cost?

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Fewer doses of PCV13 could save money – but at what cost?

Streptococcus pneumoniae is the most common bacterial cause of pneumonia, sinusitis, and acute otitis media (AOM). It also causes invasive pneumococcal disease (IPD), such as bacteremia and meningitis, and it is the leading cause of vaccine-preventable death in children younger than 5 years of age. Pneumococcal conjugate vaccines (PCVs) are effective in infants and young children against IPD, non-IPD, and the acquisition of vaccine serotype nasopharyngeal carriage (contagion). PCV7 was licensed and introduced in 2000 on a schedule that matched the schedule of other routine infant immunizations of three primary doses at 2, 4, and 6 months, and a booster at 12-15 months. Later in 2010, PCV13 was licensed on that same “3+1” schedule. Different pneumococcal vaccination schedules are recommended across Europe and other countries, after consideration of the epidemiology, disease burden, immunogenicity of the vaccine, its compatibility with other vaccines, and its cost. The World Health Organization recently updated its PCV policy to support the use of three doses on either 3+0 or 2+1 schedules. Most European countries have adopted the 2+1 schedule used for routine infant immunizations.

In light of the escalating costs of providing current vaccines, and the anticipated need for additional vaccines, the Centers for Disease Control and Prevention’s Advisory Committee on Immunization Practices (ACIP) has convened a working group to evaluate the transition from a 3+1 to a 2+1 schedule for PCV administration to infants and children. This is not a trivial decision. In the United States, cost must be considered in the context of an additional focus on non-IPD disease prevention, especially AOM, where serotypes and immune protection levels differ from IPD. A 2+1 schedule may be effective to prevent IPD, compared with a 3+1 schedule, but its impact on non-IPD may be compromised, especially for AOM, for some serotypes of pneumococci, and for control of nasopharyngeal carriage.

Dr. Michael E. Pichichero

Immunogenicity studies show that antibody responses from a vaccine regimen consisting of two doses in the primary series are less immunogenic, compared with those for a three-dose regimen, yet both regimens are effective for the prevention of IPD. Immunogenicity data that support the use of reduced-dose schedules for most, but not all, vaccine serotypes, were based on IPD. The degree to which higher antibody concentrations are important for protecting against nonbacteremic pneumonia, sinusitis, and AOM, and for preventing nasopharyngeal carriage, is not established.

However, clinical outcomes since the introduction of PCVs indicate that the true threshold will vary by serotype and host and disease condition, with higher concentrations required for certain serotypes, in immunologically less mature hosts, and in mucosal infections like nonbacteremic pneumonia, sinusitis, and AOM, compared with IPD. Also, higher IgG levels clearly are important in protecting against nasopharyngeal colonization, thereby conferring herd immunity, prolonging individual protection, and possibly correlating at the individual level with disease protection. Studies that evaluated the correlation of antibody concentration and protection against nasopharyngeal colonization have shown that a greater than 10-fold higher antibody concentration is needed, compared with levels in blood, to protect against IPD. Similarly protection against AOM require higher levels of antibody than are needed to protect against IPD, as evidenced by the lower efficacy of PCVs against AOM, compared with IPD.

Epidemiology and risk factors differ among countries of the world. Therefore, even among developed countries, there is a need for caution in accepting that what works in one country will work as well in another. For example, attendance at day care is the highest risk factor for both IPD and non-IPD. In the United States, we have many types of day care, including relatively large day care centers, and many infants enter day care at 2 months of age. In other developed countries, the size of day care centers is much smaller, and children may not enter day care until 1 or even 2 years of age. Those differences may have implications for protective efficacy with a reduced-dose vaccine schedule.

Siblings under the age of 8 years are also at significant risk. Again, the family size may differ among developed countries. Breastfeeding is protective for pneumococcal infections. Breastfeeding duration may differ among countries. The theme of this concern is apparent: Even evidence of adequate protection with a reduced-dose schedule in Finland, France, Germany, the United Kingdom, or elsewhere should not be interpreted to be completely applicable to the United States.

Whether reduced-dose schedules can provide equivalent protection against vaccine type IPD equivalent to a 3+1 schedule for all serotypes and for non-IPD when introduced into a national immunization program is unclear. Do we have enough data to inform the decision process, and specifically do we have a clear understanding of the full impact of reduced-dose schedules on non-IPD relative to 3+1? How would you vote?

 

 

Dr. Pichichero, a specialist in pediatric infectious diseases, is director of the Research Institute, Rochester (N.Y.) General Hospital. He is also a pediatrician at Legacy Pediatrics in Rochester. Pfizer, which makes PCV vaccine, has funded an investigator-initiated grant and a postmarketing study to Dr. Pichichero’s institution, and he is the primary investigator of both grants.

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Streptococcus pneumoniae is the most common bacterial cause of pneumonia, sinusitis, and acute otitis media (AOM). It also causes invasive pneumococcal disease (IPD), such as bacteremia and meningitis, and it is the leading cause of vaccine-preventable death in children younger than 5 years of age. Pneumococcal conjugate vaccines (PCVs) are effective in infants and young children against IPD, non-IPD, and the acquisition of vaccine serotype nasopharyngeal carriage (contagion). PCV7 was licensed and introduced in 2000 on a schedule that matched the schedule of other routine infant immunizations of three primary doses at 2, 4, and 6 months, and a booster at 12-15 months. Later in 2010, PCV13 was licensed on that same “3+1” schedule. Different pneumococcal vaccination schedules are recommended across Europe and other countries, after consideration of the epidemiology, disease burden, immunogenicity of the vaccine, its compatibility with other vaccines, and its cost. The World Health Organization recently updated its PCV policy to support the use of three doses on either 3+0 or 2+1 schedules. Most European countries have adopted the 2+1 schedule used for routine infant immunizations.

In light of the escalating costs of providing current vaccines, and the anticipated need for additional vaccines, the Centers for Disease Control and Prevention’s Advisory Committee on Immunization Practices (ACIP) has convened a working group to evaluate the transition from a 3+1 to a 2+1 schedule for PCV administration to infants and children. This is not a trivial decision. In the United States, cost must be considered in the context of an additional focus on non-IPD disease prevention, especially AOM, where serotypes and immune protection levels differ from IPD. A 2+1 schedule may be effective to prevent IPD, compared with a 3+1 schedule, but its impact on non-IPD may be compromised, especially for AOM, for some serotypes of pneumococci, and for control of nasopharyngeal carriage.

Dr. Michael E. Pichichero

Immunogenicity studies show that antibody responses from a vaccine regimen consisting of two doses in the primary series are less immunogenic, compared with those for a three-dose regimen, yet both regimens are effective for the prevention of IPD. Immunogenicity data that support the use of reduced-dose schedules for most, but not all, vaccine serotypes, were based on IPD. The degree to which higher antibody concentrations are important for protecting against nonbacteremic pneumonia, sinusitis, and AOM, and for preventing nasopharyngeal carriage, is not established.

However, clinical outcomes since the introduction of PCVs indicate that the true threshold will vary by serotype and host and disease condition, with higher concentrations required for certain serotypes, in immunologically less mature hosts, and in mucosal infections like nonbacteremic pneumonia, sinusitis, and AOM, compared with IPD. Also, higher IgG levels clearly are important in protecting against nasopharyngeal colonization, thereby conferring herd immunity, prolonging individual protection, and possibly correlating at the individual level with disease protection. Studies that evaluated the correlation of antibody concentration and protection against nasopharyngeal colonization have shown that a greater than 10-fold higher antibody concentration is needed, compared with levels in blood, to protect against IPD. Similarly protection against AOM require higher levels of antibody than are needed to protect against IPD, as evidenced by the lower efficacy of PCVs against AOM, compared with IPD.

Epidemiology and risk factors differ among countries of the world. Therefore, even among developed countries, there is a need for caution in accepting that what works in one country will work as well in another. For example, attendance at day care is the highest risk factor for both IPD and non-IPD. In the United States, we have many types of day care, including relatively large day care centers, and many infants enter day care at 2 months of age. In other developed countries, the size of day care centers is much smaller, and children may not enter day care until 1 or even 2 years of age. Those differences may have implications for protective efficacy with a reduced-dose vaccine schedule.

Siblings under the age of 8 years are also at significant risk. Again, the family size may differ among developed countries. Breastfeeding is protective for pneumococcal infections. Breastfeeding duration may differ among countries. The theme of this concern is apparent: Even evidence of adequate protection with a reduced-dose schedule in Finland, France, Germany, the United Kingdom, or elsewhere should not be interpreted to be completely applicable to the United States.

Whether reduced-dose schedules can provide equivalent protection against vaccine type IPD equivalent to a 3+1 schedule for all serotypes and for non-IPD when introduced into a national immunization program is unclear. Do we have enough data to inform the decision process, and specifically do we have a clear understanding of the full impact of reduced-dose schedules on non-IPD relative to 3+1? How would you vote?

 

 

Dr. Pichichero, a specialist in pediatric infectious diseases, is director of the Research Institute, Rochester (N.Y.) General Hospital. He is also a pediatrician at Legacy Pediatrics in Rochester. Pfizer, which makes PCV vaccine, has funded an investigator-initiated grant and a postmarketing study to Dr. Pichichero’s institution, and he is the primary investigator of both grants.

Streptococcus pneumoniae is the most common bacterial cause of pneumonia, sinusitis, and acute otitis media (AOM). It also causes invasive pneumococcal disease (IPD), such as bacteremia and meningitis, and it is the leading cause of vaccine-preventable death in children younger than 5 years of age. Pneumococcal conjugate vaccines (PCVs) are effective in infants and young children against IPD, non-IPD, and the acquisition of vaccine serotype nasopharyngeal carriage (contagion). PCV7 was licensed and introduced in 2000 on a schedule that matched the schedule of other routine infant immunizations of three primary doses at 2, 4, and 6 months, and a booster at 12-15 months. Later in 2010, PCV13 was licensed on that same “3+1” schedule. Different pneumococcal vaccination schedules are recommended across Europe and other countries, after consideration of the epidemiology, disease burden, immunogenicity of the vaccine, its compatibility with other vaccines, and its cost. The World Health Organization recently updated its PCV policy to support the use of three doses on either 3+0 or 2+1 schedules. Most European countries have adopted the 2+1 schedule used for routine infant immunizations.

In light of the escalating costs of providing current vaccines, and the anticipated need for additional vaccines, the Centers for Disease Control and Prevention’s Advisory Committee on Immunization Practices (ACIP) has convened a working group to evaluate the transition from a 3+1 to a 2+1 schedule for PCV administration to infants and children. This is not a trivial decision. In the United States, cost must be considered in the context of an additional focus on non-IPD disease prevention, especially AOM, where serotypes and immune protection levels differ from IPD. A 2+1 schedule may be effective to prevent IPD, compared with a 3+1 schedule, but its impact on non-IPD may be compromised, especially for AOM, for some serotypes of pneumococci, and for control of nasopharyngeal carriage.

Dr. Michael E. Pichichero

Immunogenicity studies show that antibody responses from a vaccine regimen consisting of two doses in the primary series are less immunogenic, compared with those for a three-dose regimen, yet both regimens are effective for the prevention of IPD. Immunogenicity data that support the use of reduced-dose schedules for most, but not all, vaccine serotypes, were based on IPD. The degree to which higher antibody concentrations are important for protecting against nonbacteremic pneumonia, sinusitis, and AOM, and for preventing nasopharyngeal carriage, is not established.

However, clinical outcomes since the introduction of PCVs indicate that the true threshold will vary by serotype and host and disease condition, with higher concentrations required for certain serotypes, in immunologically less mature hosts, and in mucosal infections like nonbacteremic pneumonia, sinusitis, and AOM, compared with IPD. Also, higher IgG levels clearly are important in protecting against nasopharyngeal colonization, thereby conferring herd immunity, prolonging individual protection, and possibly correlating at the individual level with disease protection. Studies that evaluated the correlation of antibody concentration and protection against nasopharyngeal colonization have shown that a greater than 10-fold higher antibody concentration is needed, compared with levels in blood, to protect against IPD. Similarly protection against AOM require higher levels of antibody than are needed to protect against IPD, as evidenced by the lower efficacy of PCVs against AOM, compared with IPD.

Epidemiology and risk factors differ among countries of the world. Therefore, even among developed countries, there is a need for caution in accepting that what works in one country will work as well in another. For example, attendance at day care is the highest risk factor for both IPD and non-IPD. In the United States, we have many types of day care, including relatively large day care centers, and many infants enter day care at 2 months of age. In other developed countries, the size of day care centers is much smaller, and children may not enter day care until 1 or even 2 years of age. Those differences may have implications for protective efficacy with a reduced-dose vaccine schedule.

Siblings under the age of 8 years are also at significant risk. Again, the family size may differ among developed countries. Breastfeeding is protective for pneumococcal infections. Breastfeeding duration may differ among countries. The theme of this concern is apparent: Even evidence of adequate protection with a reduced-dose schedule in Finland, France, Germany, the United Kingdom, or elsewhere should not be interpreted to be completely applicable to the United States.

Whether reduced-dose schedules can provide equivalent protection against vaccine type IPD equivalent to a 3+1 schedule for all serotypes and for non-IPD when introduced into a national immunization program is unclear. Do we have enough data to inform the decision process, and specifically do we have a clear understanding of the full impact of reduced-dose schedules on non-IPD relative to 3+1? How would you vote?

 

 

Dr. Pichichero, a specialist in pediatric infectious diseases, is director of the Research Institute, Rochester (N.Y.) General Hospital. He is also a pediatrician at Legacy Pediatrics in Rochester. Pfizer, which makes PCV vaccine, has funded an investigator-initiated grant and a postmarketing study to Dr. Pichichero’s institution, and he is the primary investigator of both grants.

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Midair medical emergencies

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Midair medical emergencies

Question: One hour into an Air France international flight out of New York, Dr. Internist responded to a call for emergency medical assistance. A U.S. passenger had briefly passed out but then appeared to recover. Dr. Internist made a tentative diagnosis of a transient ischemic attack, but did not think an immediate divert was necessary. Based on the doctor’s assessment, the pilot continued on the previously scheduled flight path, landing several hours later in Paris. Meanwhile, the passenger’s condition worsened, and he expired shortly after arrival.

Which of the following statements is correct?

A. Under the common law, there is no legal duty to aid a stranger in distress; but under French law, a doctor is legally obligated to provide emergency assistance.

B. The U.S. federal Aviation Medical Assistance Act may immunize the doctor against liability for negligence during a midair medical emergency.

C. A tort action may still lie against the airline, notwithstanding the doctor’s advice not to divert.

D. Expect jurisdictional conflicts in the event there is a lawsuit.

E. All are correct.

Answer: E. Under the common law, there is no legal duty for anyone, even a doctor, to come to the aid of a stranger. However, doctors are generally held to have an ethical duty to offer emergency care. The American Medical Association’s Code of Medical Ethics states: “Physicians are free to choose whom they will serve. The physician should, however, respond to the best of his or her ability in cases of emergency where first aid treatment is essential.”1

In contrast, Australia and most civil law jurisdictions, e.g., many European countries, impose a legal obligation to render assistance. Under French law, for example, failure to render assistance to a person in urgent need of help can be met with fines of up to 75,000 euros and 5 years imprisonment.

Medical “emergencies” occur in roughly 1 of every 600 flights, which may be an underestimate because of underreporting. The most common medical reasons for aircraft diversion are cardiac, respiratory, and neurologic emergencies. According to a recent review in the New England Journal of Medicine, the decision to divert lies solely with the captain of the aircraft, who must also consider factors such as fuel, costs, the ability to land, and the medical resources available at that airport.2 The review also summarizes medical steps to be taken during midair medical emergencies.

Two related laws other than international aviation treaties govern medical liability during commercial flights: the generic “Good Samaritan” statute, which all 50 U.S. states have enacted, and the more specific federal Aviation Medical Assistance Act.

In 1959, California enacted the first Good Samaritan statute, whose intent is to encourage the helping of people in distress. In general, the law protects against liability arising out of nonreimbursed negligent rescue, but it does not affirmatively require doctors to come to the aid of strangers. Vermont, however, is an exception, and imposes a legal duty to assist a victim in need.

Typically, there is legal immunity against ordinary negligence but not gross misconduct, although California appears to excuse even gross negligence so long as the act was done in good faith. In a litigated case, a California court eloquently declared: “The goodness of the Samaritan is a description of the quality of his or her intention, not the quality of the aid delivered.”3

There is no universal definition of gross negligence, but the term frequently is equated with willful, wanton, or reckless conduct. One can think of gross negligence as aggravated negligence, involving more than mere mistake, inadvertence, or inattention, and representing highly unreasonable conduct or an extreme departure from ordinary care where a high degree of danger is apparent.4 An example may be an obviously inebriated physician attempting to provide treatment and causing harm to the victim.

However, the Good Samaritan statute, being state based, may not be applicable to scenarios with cross-border jurisdictional issues. The specific law that incorporates Good Samaritan assistance during commercial flights is the federal Aviation Medical Assistance Act (AMAA), which Congress enacted in 1998. In addition to Federal Aviation Administration mandates such as requisite medical supplies on board and training of flight crew, this federal law shields providers who respond to in-flight medical emergencies.

The AMAA covers claims arising from domestic flights and those arising from international flights involving U.S. carriers or residents, but it does not protect a provider who exhibits flagrant disregard for the patient’s health and safety. Liability is generally determined under the law of the country in which the aircraft is registered, but the citizenship status of the parties and where the incident occurs are also relevant.5

 

 

Under the facts of the hypothetical given above, one can expect jurisdictional conflicts in the event the plaintiff files a lawsuit, because it is unclear whether the AMAA is applicable where a foreign airline is on an international flight over the Atlantic, even one out of New York involving a U.S. citizen.

There does not appear to be an appellate court opinion on physician negligence during an in-flight medical emergency, but there have been lower court decisions and settlements adverse to the airline.6

For example, Northwest Airlines reportedly settled out of court following the death of a passenger on a flight from Manila to Tokyo, despite its claim that three doctors on board the aircraft did not feel an emergency landing was warranted. In a similar case, a Miami federal judge ordered Lufthansa German Airlines to pay damages of $2.7 million to a passenger having a heart attack during a 9-hour flight, after the captain heeded the recommendation from a doctor on board against diverting. In neither case were the doctors apparently named as defendants.

In summary, a doctor is ethically obligated to provide medical assistance in a midair emergency situation. It is highly unlikely that any adverse legal repercussion will ensue. Good Samaritan statutes and, more specifically, the AMAA, properly provide immunity against any allegation of ordinary negligence. Finally, one should be mindful of the need for the patient’s consent before examination and treatment, and, as always, keep written notes of what you have done.

References

1. AMA Code of Medical Ethics §8.11, 2012-2013 edition.

2. N Engl J Med. 2015 Sep 3;373(10):939-45.

3. Perkins v. Howard, 232 Cal.App.3d 708 (1991).

4. Prosser and Keeton on Torts, 5th ed. 1984, p. 211-4.

5. Aviation Medical Assistance Act of 1998, Pub L. No. 105-170. Washington, DC.

6. Aviat Space Environ Med. 1997 Dec;68(12):1134-8.

Dr. Tan is emeritus professor of medicine and former adjunct professor of law at the University of Hawaii, and currently directs the St. Francis International Center for Healthcare Ethics in Honolulu. This article is meant to be educational and does not constitute medical, ethical, or legal advice. Some of the articles in this series are adapted from the author’s 2006 book, “Medical Malpractice: Understanding the Law, Managing the Risk,” and his 2012 Halsbury treatise, “Medical Negligence and Professional Misconduct.” For additional information, readers may contact the author at siang@hawaii.edu.

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Question: One hour into an Air France international flight out of New York, Dr. Internist responded to a call for emergency medical assistance. A U.S. passenger had briefly passed out but then appeared to recover. Dr. Internist made a tentative diagnosis of a transient ischemic attack, but did not think an immediate divert was necessary. Based on the doctor’s assessment, the pilot continued on the previously scheduled flight path, landing several hours later in Paris. Meanwhile, the passenger’s condition worsened, and he expired shortly after arrival.

Which of the following statements is correct?

A. Under the common law, there is no legal duty to aid a stranger in distress; but under French law, a doctor is legally obligated to provide emergency assistance.

B. The U.S. federal Aviation Medical Assistance Act may immunize the doctor against liability for negligence during a midair medical emergency.

C. A tort action may still lie against the airline, notwithstanding the doctor’s advice not to divert.

D. Expect jurisdictional conflicts in the event there is a lawsuit.

E. All are correct.

Answer: E. Under the common law, there is no legal duty for anyone, even a doctor, to come to the aid of a stranger. However, doctors are generally held to have an ethical duty to offer emergency care. The American Medical Association’s Code of Medical Ethics states: “Physicians are free to choose whom they will serve. The physician should, however, respond to the best of his or her ability in cases of emergency where first aid treatment is essential.”1

In contrast, Australia and most civil law jurisdictions, e.g., many European countries, impose a legal obligation to render assistance. Under French law, for example, failure to render assistance to a person in urgent need of help can be met with fines of up to 75,000 euros and 5 years imprisonment.

Medical “emergencies” occur in roughly 1 of every 600 flights, which may be an underestimate because of underreporting. The most common medical reasons for aircraft diversion are cardiac, respiratory, and neurologic emergencies. According to a recent review in the New England Journal of Medicine, the decision to divert lies solely with the captain of the aircraft, who must also consider factors such as fuel, costs, the ability to land, and the medical resources available at that airport.2 The review also summarizes medical steps to be taken during midair medical emergencies.

Two related laws other than international aviation treaties govern medical liability during commercial flights: the generic “Good Samaritan” statute, which all 50 U.S. states have enacted, and the more specific federal Aviation Medical Assistance Act.

In 1959, California enacted the first Good Samaritan statute, whose intent is to encourage the helping of people in distress. In general, the law protects against liability arising out of nonreimbursed negligent rescue, but it does not affirmatively require doctors to come to the aid of strangers. Vermont, however, is an exception, and imposes a legal duty to assist a victim in need.

Typically, there is legal immunity against ordinary negligence but not gross misconduct, although California appears to excuse even gross negligence so long as the act was done in good faith. In a litigated case, a California court eloquently declared: “The goodness of the Samaritan is a description of the quality of his or her intention, not the quality of the aid delivered.”3

There is no universal definition of gross negligence, but the term frequently is equated with willful, wanton, or reckless conduct. One can think of gross negligence as aggravated negligence, involving more than mere mistake, inadvertence, or inattention, and representing highly unreasonable conduct or an extreme departure from ordinary care where a high degree of danger is apparent.4 An example may be an obviously inebriated physician attempting to provide treatment and causing harm to the victim.

However, the Good Samaritan statute, being state based, may not be applicable to scenarios with cross-border jurisdictional issues. The specific law that incorporates Good Samaritan assistance during commercial flights is the federal Aviation Medical Assistance Act (AMAA), which Congress enacted in 1998. In addition to Federal Aviation Administration mandates such as requisite medical supplies on board and training of flight crew, this federal law shields providers who respond to in-flight medical emergencies.

The AMAA covers claims arising from domestic flights and those arising from international flights involving U.S. carriers or residents, but it does not protect a provider who exhibits flagrant disregard for the patient’s health and safety. Liability is generally determined under the law of the country in which the aircraft is registered, but the citizenship status of the parties and where the incident occurs are also relevant.5

 

 

Under the facts of the hypothetical given above, one can expect jurisdictional conflicts in the event the plaintiff files a lawsuit, because it is unclear whether the AMAA is applicable where a foreign airline is on an international flight over the Atlantic, even one out of New York involving a U.S. citizen.

There does not appear to be an appellate court opinion on physician negligence during an in-flight medical emergency, but there have been lower court decisions and settlements adverse to the airline.6

For example, Northwest Airlines reportedly settled out of court following the death of a passenger on a flight from Manila to Tokyo, despite its claim that three doctors on board the aircraft did not feel an emergency landing was warranted. In a similar case, a Miami federal judge ordered Lufthansa German Airlines to pay damages of $2.7 million to a passenger having a heart attack during a 9-hour flight, after the captain heeded the recommendation from a doctor on board against diverting. In neither case were the doctors apparently named as defendants.

In summary, a doctor is ethically obligated to provide medical assistance in a midair emergency situation. It is highly unlikely that any adverse legal repercussion will ensue. Good Samaritan statutes and, more specifically, the AMAA, properly provide immunity against any allegation of ordinary negligence. Finally, one should be mindful of the need for the patient’s consent before examination and treatment, and, as always, keep written notes of what you have done.

References

1. AMA Code of Medical Ethics §8.11, 2012-2013 edition.

2. N Engl J Med. 2015 Sep 3;373(10):939-45.

3. Perkins v. Howard, 232 Cal.App.3d 708 (1991).

4. Prosser and Keeton on Torts, 5th ed. 1984, p. 211-4.

5. Aviation Medical Assistance Act of 1998, Pub L. No. 105-170. Washington, DC.

6. Aviat Space Environ Med. 1997 Dec;68(12):1134-8.

Dr. Tan is emeritus professor of medicine and former adjunct professor of law at the University of Hawaii, and currently directs the St. Francis International Center for Healthcare Ethics in Honolulu. This article is meant to be educational and does not constitute medical, ethical, or legal advice. Some of the articles in this series are adapted from the author’s 2006 book, “Medical Malpractice: Understanding the Law, Managing the Risk,” and his 2012 Halsbury treatise, “Medical Negligence and Professional Misconduct.” For additional information, readers may contact the author at siang@hawaii.edu.

Question: One hour into an Air France international flight out of New York, Dr. Internist responded to a call for emergency medical assistance. A U.S. passenger had briefly passed out but then appeared to recover. Dr. Internist made a tentative diagnosis of a transient ischemic attack, but did not think an immediate divert was necessary. Based on the doctor’s assessment, the pilot continued on the previously scheduled flight path, landing several hours later in Paris. Meanwhile, the passenger’s condition worsened, and he expired shortly after arrival.

Which of the following statements is correct?

A. Under the common law, there is no legal duty to aid a stranger in distress; but under French law, a doctor is legally obligated to provide emergency assistance.

B. The U.S. federal Aviation Medical Assistance Act may immunize the doctor against liability for negligence during a midair medical emergency.

C. A tort action may still lie against the airline, notwithstanding the doctor’s advice not to divert.

D. Expect jurisdictional conflicts in the event there is a lawsuit.

E. All are correct.

Answer: E. Under the common law, there is no legal duty for anyone, even a doctor, to come to the aid of a stranger. However, doctors are generally held to have an ethical duty to offer emergency care. The American Medical Association’s Code of Medical Ethics states: “Physicians are free to choose whom they will serve. The physician should, however, respond to the best of his or her ability in cases of emergency where first aid treatment is essential.”1

In contrast, Australia and most civil law jurisdictions, e.g., many European countries, impose a legal obligation to render assistance. Under French law, for example, failure to render assistance to a person in urgent need of help can be met with fines of up to 75,000 euros and 5 years imprisonment.

Medical “emergencies” occur in roughly 1 of every 600 flights, which may be an underestimate because of underreporting. The most common medical reasons for aircraft diversion are cardiac, respiratory, and neurologic emergencies. According to a recent review in the New England Journal of Medicine, the decision to divert lies solely with the captain of the aircraft, who must also consider factors such as fuel, costs, the ability to land, and the medical resources available at that airport.2 The review also summarizes medical steps to be taken during midair medical emergencies.

Two related laws other than international aviation treaties govern medical liability during commercial flights: the generic “Good Samaritan” statute, which all 50 U.S. states have enacted, and the more specific federal Aviation Medical Assistance Act.

In 1959, California enacted the first Good Samaritan statute, whose intent is to encourage the helping of people in distress. In general, the law protects against liability arising out of nonreimbursed negligent rescue, but it does not affirmatively require doctors to come to the aid of strangers. Vermont, however, is an exception, and imposes a legal duty to assist a victim in need.

Typically, there is legal immunity against ordinary negligence but not gross misconduct, although California appears to excuse even gross negligence so long as the act was done in good faith. In a litigated case, a California court eloquently declared: “The goodness of the Samaritan is a description of the quality of his or her intention, not the quality of the aid delivered.”3

There is no universal definition of gross negligence, but the term frequently is equated with willful, wanton, or reckless conduct. One can think of gross negligence as aggravated negligence, involving more than mere mistake, inadvertence, or inattention, and representing highly unreasonable conduct or an extreme departure from ordinary care where a high degree of danger is apparent.4 An example may be an obviously inebriated physician attempting to provide treatment and causing harm to the victim.

However, the Good Samaritan statute, being state based, may not be applicable to scenarios with cross-border jurisdictional issues. The specific law that incorporates Good Samaritan assistance during commercial flights is the federal Aviation Medical Assistance Act (AMAA), which Congress enacted in 1998. In addition to Federal Aviation Administration mandates such as requisite medical supplies on board and training of flight crew, this federal law shields providers who respond to in-flight medical emergencies.

The AMAA covers claims arising from domestic flights and those arising from international flights involving U.S. carriers or residents, but it does not protect a provider who exhibits flagrant disregard for the patient’s health and safety. Liability is generally determined under the law of the country in which the aircraft is registered, but the citizenship status of the parties and where the incident occurs are also relevant.5

 

 

Under the facts of the hypothetical given above, one can expect jurisdictional conflicts in the event the plaintiff files a lawsuit, because it is unclear whether the AMAA is applicable where a foreign airline is on an international flight over the Atlantic, even one out of New York involving a U.S. citizen.

There does not appear to be an appellate court opinion on physician negligence during an in-flight medical emergency, but there have been lower court decisions and settlements adverse to the airline.6

For example, Northwest Airlines reportedly settled out of court following the death of a passenger on a flight from Manila to Tokyo, despite its claim that three doctors on board the aircraft did not feel an emergency landing was warranted. In a similar case, a Miami federal judge ordered Lufthansa German Airlines to pay damages of $2.7 million to a passenger having a heart attack during a 9-hour flight, after the captain heeded the recommendation from a doctor on board against diverting. In neither case were the doctors apparently named as defendants.

In summary, a doctor is ethically obligated to provide medical assistance in a midair emergency situation. It is highly unlikely that any adverse legal repercussion will ensue. Good Samaritan statutes and, more specifically, the AMAA, properly provide immunity against any allegation of ordinary negligence. Finally, one should be mindful of the need for the patient’s consent before examination and treatment, and, as always, keep written notes of what you have done.

References

1. AMA Code of Medical Ethics §8.11, 2012-2013 edition.

2. N Engl J Med. 2015 Sep 3;373(10):939-45.

3. Perkins v. Howard, 232 Cal.App.3d 708 (1991).

4. Prosser and Keeton on Torts, 5th ed. 1984, p. 211-4.

5. Aviation Medical Assistance Act of 1998, Pub L. No. 105-170. Washington, DC.

6. Aviat Space Environ Med. 1997 Dec;68(12):1134-8.

Dr. Tan is emeritus professor of medicine and former adjunct professor of law at the University of Hawaii, and currently directs the St. Francis International Center for Healthcare Ethics in Honolulu. This article is meant to be educational and does not constitute medical, ethical, or legal advice. Some of the articles in this series are adapted from the author’s 2006 book, “Medical Malpractice: Understanding the Law, Managing the Risk,” and his 2012 Halsbury treatise, “Medical Negligence and Professional Misconduct.” For additional information, readers may contact the author at siang@hawaii.edu.

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Early TIPS tied to mortality reduction in esophageal bleeds

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Early TIPS tied to mortality reduction in esophageal bleeds

HONOLULU – Early use of a transjugular intrahepatic portosystemic shunt (TIPS) is associated with substantial reductions in mortality, according to an analysis of a national inpatient database.

Based on this study, “early use of TIPS, together with patient and physician education on current guidelines and protocols, should continue to be a priority to improve patient outcomes” in patients with hepatic cirrhosis and risk of recurrent esophageal variceal bleeds, reported Dr. Basile Njei, a gastroenterology fellow at Yale University, New Haven, Conn.

In this study, the Nationwide Inpatient Sample database was queried by ICD-9 codes to identify patients with esophageal variceal bleeding treated between the years 2000 and 2010. The goal was to compare early use of TIPS, defined as TIPS administered within 72 hours of the bleeding, relative to rescue TIPS, defined as TIPS after two or more episodes of bleeding or one bleeding episode followed by another endoscopic intervention, such as balloon tamponade or surgery.

Over the period of study, a Poisson regression analysis used to control for multiple variables associated any TIPS utilization with an inverse association with overall mortality, producing a relative risk of 0.88 (95% confidence interval, 0.83-0.92). In the context of timing of TIPS, in-hospital mortality fell from 5.6% for those who received rescue TIPS to 1.5% in those who underwent early TIPS.

On multivariate analysis, an advantage was observed for early TIPS relative to rescue TIPS for in-hospital mortality (RR, 0.85; P less than .01), in-hospital rebleeding (RR, 0.57; P less than .01), and length of hospital stay (RR, 0.87; P less than .01). Rates of sepsis (RR, 0.83; P = .32) and hepatic encephalopathy (RR, 0.87; P = .22) were not significantly lower in the early TIPS group, but they were also not increased. For early TIPS versus no TIPS, the advantages on multivariate analysis were similar for both in-hospital deaths (RR, 0.87; P less than .01) and in-hospital rebleeding (RR, 0.57; P less than .01), but no advantage was seen for length of stay for TIPS versus no TIPS (RR, 0.99; P = .18).

Overall, there was a steady decline in mortality associated with esophageal variceal bleeding over the period of evaluation, falling incrementally over time from 656 deaths per 100,000 hospitalizations in 2000 to 412 deaths per 100,000 in 2010. This 37.2% reduction was statistically significant (P less than .01). The reduction in mortality was inversely associated with an increasing use of TIPS over the study period.

The data from this analysis are consistent with a multicenter randomized trial conducted several years ago in Europe (N Engl J Med. 2010;362:2370-9). In that study 63 patients with hepatic cirrhosis and acute variceal bleeding who had been treated with vasoactive drugs plus endoscopic therapy were randomized to early TIPS or rescue TIPS. At 1 year, 86% of those in the early TIPS group were alive versus 61% (P = .01) of those randomized to receive TIPS as a rescue strategy.

Relative to the previous study, the key finding of this study is that early TIPS “is associated with significant short-term reductions in rebleeding and mortality without a significant increase in encephalopathy in real world U.S. clinical practice,” according to Dr. Njei. It substantiates the European study and encourages a protocol that emphasizes early TIPS, particularly in those with a high risk of repeat esophageal variceal bleeding.

In the discussion that followed the presentation of these results at the annual meeting of the American College of Gastroenterology, the moderator, Dr. Paul Y. Kwo, medical director of liver transplantation, Indiana University, Indianapolis, pointed out, that some of those in the rescue TIPS group might simply have been poor candidates for this intervention. Although he praised the methodology of this study, which won the 2015 ACG Fellows-In-Training Award, he questioned whether rescue TIPS was a last resort salvage therapy in those initially considered poor risks for TIPS. Dr. Njei responded that the multivariate analysis was specifically designed to control for variables such as risk status to diminish this potential bias. Indeed, he said he believes TIPS is underemployed.

“The relatively small percentage of eligible cases receiving early TIPS suggests that there is room for further improvement in the treatment of patients with decompensated cirrhosis and esophageal variceal bleeding,” Dr. Njei concluded.

Dr. Njei reported that he had no relevant financial relationships to disclose.

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HONOLULU – Early use of a transjugular intrahepatic portosystemic shunt (TIPS) is associated with substantial reductions in mortality, according to an analysis of a national inpatient database.

Based on this study, “early use of TIPS, together with patient and physician education on current guidelines and protocols, should continue to be a priority to improve patient outcomes” in patients with hepatic cirrhosis and risk of recurrent esophageal variceal bleeds, reported Dr. Basile Njei, a gastroenterology fellow at Yale University, New Haven, Conn.

In this study, the Nationwide Inpatient Sample database was queried by ICD-9 codes to identify patients with esophageal variceal bleeding treated between the years 2000 and 2010. The goal was to compare early use of TIPS, defined as TIPS administered within 72 hours of the bleeding, relative to rescue TIPS, defined as TIPS after two or more episodes of bleeding or one bleeding episode followed by another endoscopic intervention, such as balloon tamponade or surgery.

Over the period of study, a Poisson regression analysis used to control for multiple variables associated any TIPS utilization with an inverse association with overall mortality, producing a relative risk of 0.88 (95% confidence interval, 0.83-0.92). In the context of timing of TIPS, in-hospital mortality fell from 5.6% for those who received rescue TIPS to 1.5% in those who underwent early TIPS.

On multivariate analysis, an advantage was observed for early TIPS relative to rescue TIPS for in-hospital mortality (RR, 0.85; P less than .01), in-hospital rebleeding (RR, 0.57; P less than .01), and length of hospital stay (RR, 0.87; P less than .01). Rates of sepsis (RR, 0.83; P = .32) and hepatic encephalopathy (RR, 0.87; P = .22) were not significantly lower in the early TIPS group, but they were also not increased. For early TIPS versus no TIPS, the advantages on multivariate analysis were similar for both in-hospital deaths (RR, 0.87; P less than .01) and in-hospital rebleeding (RR, 0.57; P less than .01), but no advantage was seen for length of stay for TIPS versus no TIPS (RR, 0.99; P = .18).

Overall, there was a steady decline in mortality associated with esophageal variceal bleeding over the period of evaluation, falling incrementally over time from 656 deaths per 100,000 hospitalizations in 2000 to 412 deaths per 100,000 in 2010. This 37.2% reduction was statistically significant (P less than .01). The reduction in mortality was inversely associated with an increasing use of TIPS over the study period.

The data from this analysis are consistent with a multicenter randomized trial conducted several years ago in Europe (N Engl J Med. 2010;362:2370-9). In that study 63 patients with hepatic cirrhosis and acute variceal bleeding who had been treated with vasoactive drugs plus endoscopic therapy were randomized to early TIPS or rescue TIPS. At 1 year, 86% of those in the early TIPS group were alive versus 61% (P = .01) of those randomized to receive TIPS as a rescue strategy.

Relative to the previous study, the key finding of this study is that early TIPS “is associated with significant short-term reductions in rebleeding and mortality without a significant increase in encephalopathy in real world U.S. clinical practice,” according to Dr. Njei. It substantiates the European study and encourages a protocol that emphasizes early TIPS, particularly in those with a high risk of repeat esophageal variceal bleeding.

In the discussion that followed the presentation of these results at the annual meeting of the American College of Gastroenterology, the moderator, Dr. Paul Y. Kwo, medical director of liver transplantation, Indiana University, Indianapolis, pointed out, that some of those in the rescue TIPS group might simply have been poor candidates for this intervention. Although he praised the methodology of this study, which won the 2015 ACG Fellows-In-Training Award, he questioned whether rescue TIPS was a last resort salvage therapy in those initially considered poor risks for TIPS. Dr. Njei responded that the multivariate analysis was specifically designed to control for variables such as risk status to diminish this potential bias. Indeed, he said he believes TIPS is underemployed.

“The relatively small percentage of eligible cases receiving early TIPS suggests that there is room for further improvement in the treatment of patients with decompensated cirrhosis and esophageal variceal bleeding,” Dr. Njei concluded.

Dr. Njei reported that he had no relevant financial relationships to disclose.

HONOLULU – Early use of a transjugular intrahepatic portosystemic shunt (TIPS) is associated with substantial reductions in mortality, according to an analysis of a national inpatient database.

Based on this study, “early use of TIPS, together with patient and physician education on current guidelines and protocols, should continue to be a priority to improve patient outcomes” in patients with hepatic cirrhosis and risk of recurrent esophageal variceal bleeds, reported Dr. Basile Njei, a gastroenterology fellow at Yale University, New Haven, Conn.

In this study, the Nationwide Inpatient Sample database was queried by ICD-9 codes to identify patients with esophageal variceal bleeding treated between the years 2000 and 2010. The goal was to compare early use of TIPS, defined as TIPS administered within 72 hours of the bleeding, relative to rescue TIPS, defined as TIPS after two or more episodes of bleeding or one bleeding episode followed by another endoscopic intervention, such as balloon tamponade or surgery.

Over the period of study, a Poisson regression analysis used to control for multiple variables associated any TIPS utilization with an inverse association with overall mortality, producing a relative risk of 0.88 (95% confidence interval, 0.83-0.92). In the context of timing of TIPS, in-hospital mortality fell from 5.6% for those who received rescue TIPS to 1.5% in those who underwent early TIPS.

On multivariate analysis, an advantage was observed for early TIPS relative to rescue TIPS for in-hospital mortality (RR, 0.85; P less than .01), in-hospital rebleeding (RR, 0.57; P less than .01), and length of hospital stay (RR, 0.87; P less than .01). Rates of sepsis (RR, 0.83; P = .32) and hepatic encephalopathy (RR, 0.87; P = .22) were not significantly lower in the early TIPS group, but they were also not increased. For early TIPS versus no TIPS, the advantages on multivariate analysis were similar for both in-hospital deaths (RR, 0.87; P less than .01) and in-hospital rebleeding (RR, 0.57; P less than .01), but no advantage was seen for length of stay for TIPS versus no TIPS (RR, 0.99; P = .18).

Overall, there was a steady decline in mortality associated with esophageal variceal bleeding over the period of evaluation, falling incrementally over time from 656 deaths per 100,000 hospitalizations in 2000 to 412 deaths per 100,000 in 2010. This 37.2% reduction was statistically significant (P less than .01). The reduction in mortality was inversely associated with an increasing use of TIPS over the study period.

The data from this analysis are consistent with a multicenter randomized trial conducted several years ago in Europe (N Engl J Med. 2010;362:2370-9). In that study 63 patients with hepatic cirrhosis and acute variceal bleeding who had been treated with vasoactive drugs plus endoscopic therapy were randomized to early TIPS or rescue TIPS. At 1 year, 86% of those in the early TIPS group were alive versus 61% (P = .01) of those randomized to receive TIPS as a rescue strategy.

Relative to the previous study, the key finding of this study is that early TIPS “is associated with significant short-term reductions in rebleeding and mortality without a significant increase in encephalopathy in real world U.S. clinical practice,” according to Dr. Njei. It substantiates the European study and encourages a protocol that emphasizes early TIPS, particularly in those with a high risk of repeat esophageal variceal bleeding.

In the discussion that followed the presentation of these results at the annual meeting of the American College of Gastroenterology, the moderator, Dr. Paul Y. Kwo, medical director of liver transplantation, Indiana University, Indianapolis, pointed out, that some of those in the rescue TIPS group might simply have been poor candidates for this intervention. Although he praised the methodology of this study, which won the 2015 ACG Fellows-In-Training Award, he questioned whether rescue TIPS was a last resort salvage therapy in those initially considered poor risks for TIPS. Dr. Njei responded that the multivariate analysis was specifically designed to control for variables such as risk status to diminish this potential bias. Indeed, he said he believes TIPS is underemployed.

“The relatively small percentage of eligible cases receiving early TIPS suggests that there is room for further improvement in the treatment of patients with decompensated cirrhosis and esophageal variceal bleeding,” Dr. Njei concluded.

Dr. Njei reported that he had no relevant financial relationships to disclose.

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Key clinical point:Early use of a transjugular intrahepatic portosystemic shunt to reduce the risk of esophageal variceal rebleeding is associated with reduced mortality.

Major finding: In those receiving early TIPS (TIPS administered within 72 hours of the bleeding) mortality was 1.5% vs. 5.6% for those receiving TIPS as rescue therapy.

Data source: A retrospective evaluation of a national inpatient database.

Disclosures: Dr. Njei reported that he had no relevant financial relationships to disclose.

Commonly Prescribed Drugs and Death in Medicare Patients

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Commonly Prescribed Drugs and Death in Medicare Patients

NEW YORK - Most, but not all, guideline-recommended drugs and their combinations yield modest survival benefits in older adults with multiple chronic medical conditions, researchers report.

"Until there is better evidence in older adults with multiple chronic conditions, clinicians need to take a more thoughtful and nuanced approach to medication prescribing," Dr. Mary E. Tinetti from Yale School of Medicine, New Haven, Connecticut said by email. "This is particularly supported by the fact that outside of perhaps anticoagulation for atrial fibrillation, the magnitude of benefit for most of these medications is quite modest."

Nearly 40% of adults 65 years and older take at least five prescription medications, but the benefits of drugs prescribed for a single condition are difficult to ascertain in the

presence of multiple conditions and drugs.

Dr. Tinetti and colleagues used data from the Medicare Current Beneficiary Survey to estimate the association between nine guideline-recommended and commonly prescribed drugs and death in more than 8,500 Medicare participants (mean age, 77.4 years).

The nine drugs included beta-blockers; calcium channel blockers; clopidogrel; metformin; renin-angiotensin system (RAS) blockers; selective serotonin reuptake inhibitors (SSRIs) and selective serotonin norepinephrine reuptake inhibitors (SNRIs); statins; thiazide diuretics; and warfarin.

The most common medical conditions included hypertension, hyperlipidemia, diabetes, and coronary artery disease, the researchers report in The BMJ, online Oct. 2. More than half of the participants took at least three of the nine study drugs, and the mean number of total drugs was 10.0.

The benefits on survival of beta-blockers, calcium channel blockers, RAS blockers, statins, and warfarin were comparable to those reported in randomized controlled trials, although for beta-blockers and warfarin they varied according to coexisting conditions.

Clopidogrel, metformin, and SSRIs/SNRIs, however, were not associated with survival benefits.

The association between drug use and mortality risk was generally similar across patterns of coexisting conditions, suggesting to the researchers "that benefits often remain despite comorbidity."

"Research focused on identifying the medications that have the greatest benefit (defined by patient's outcomes priority such as improved symptoms, optimal physical or cognitive function, or survival) and least harm for key subpopulations of individuals with varying combinations of coexisting conditions should be a top priority," Dr. Tinetti said. "Ironically, although these are the major users of health care, they have largely been ignored in research."

"Many individuals, although they have many conditions, only one or two are really affecting the outcomes that matter most to them," Dr. Tinetti said. "Therefore, medication regimens can be simplified by eliminating medications for conditions that are not likely to benefit the individuals outcome priority, such as improved symptoms, optimal physical or cognitive function, or simplified treatment regimens."

"We know that about one in five individuals are currently receiving guideline-recommended medications for one condition that may be harming another," Dr. Tinetti concluded. "A careful medication review will review these potential offending medications. Given the marginal benefit of each individual medication, and the importance of avoiding harm, potentially offending medications should be discontinued."

Dr. Una Makris from UT Southwestern Medical Center and Dallas VA Medical Center has reported on high-risk medication use among older veterans with chronic pain. She said by email, "As clinicians we need to understand that not all of the outcomes we measure and not all of the medical conditions a patient has will be perceived as equally important (by the patient), so involving patients in the decision of which medications (even if guideline concordant) to add or remove is integral. How we communicate with and educate our older patients about their chronic conditions and the risks/benefits of each medication is evolving; this often differs between specialty providers and primary care providers."

Dr. Makris added, "This publication should heighten our awareness that patients, especially older adults, often have multiple comorbidities that can be treated with multiple guideline driven therapies and that our goal is really to work with patients to determine which combination of drugs and for which condition optimizes the risks/benefits for that individual."

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NEW YORK - Most, but not all, guideline-recommended drugs and their combinations yield modest survival benefits in older adults with multiple chronic medical conditions, researchers report.

"Until there is better evidence in older adults with multiple chronic conditions, clinicians need to take a more thoughtful and nuanced approach to medication prescribing," Dr. Mary E. Tinetti from Yale School of Medicine, New Haven, Connecticut said by email. "This is particularly supported by the fact that outside of perhaps anticoagulation for atrial fibrillation, the magnitude of benefit for most of these medications is quite modest."

Nearly 40% of adults 65 years and older take at least five prescription medications, but the benefits of drugs prescribed for a single condition are difficult to ascertain in the

presence of multiple conditions and drugs.

Dr. Tinetti and colleagues used data from the Medicare Current Beneficiary Survey to estimate the association between nine guideline-recommended and commonly prescribed drugs and death in more than 8,500 Medicare participants (mean age, 77.4 years).

The nine drugs included beta-blockers; calcium channel blockers; clopidogrel; metformin; renin-angiotensin system (RAS) blockers; selective serotonin reuptake inhibitors (SSRIs) and selective serotonin norepinephrine reuptake inhibitors (SNRIs); statins; thiazide diuretics; and warfarin.

The most common medical conditions included hypertension, hyperlipidemia, diabetes, and coronary artery disease, the researchers report in The BMJ, online Oct. 2. More than half of the participants took at least three of the nine study drugs, and the mean number of total drugs was 10.0.

The benefits on survival of beta-blockers, calcium channel blockers, RAS blockers, statins, and warfarin were comparable to those reported in randomized controlled trials, although for beta-blockers and warfarin they varied according to coexisting conditions.

Clopidogrel, metformin, and SSRIs/SNRIs, however, were not associated with survival benefits.

The association between drug use and mortality risk was generally similar across patterns of coexisting conditions, suggesting to the researchers "that benefits often remain despite comorbidity."

"Research focused on identifying the medications that have the greatest benefit (defined by patient's outcomes priority such as improved symptoms, optimal physical or cognitive function, or survival) and least harm for key subpopulations of individuals with varying combinations of coexisting conditions should be a top priority," Dr. Tinetti said. "Ironically, although these are the major users of health care, they have largely been ignored in research."

"Many individuals, although they have many conditions, only one or two are really affecting the outcomes that matter most to them," Dr. Tinetti said. "Therefore, medication regimens can be simplified by eliminating medications for conditions that are not likely to benefit the individuals outcome priority, such as improved symptoms, optimal physical or cognitive function, or simplified treatment regimens."

"We know that about one in five individuals are currently receiving guideline-recommended medications for one condition that may be harming another," Dr. Tinetti concluded. "A careful medication review will review these potential offending medications. Given the marginal benefit of each individual medication, and the importance of avoiding harm, potentially offending medications should be discontinued."

Dr. Una Makris from UT Southwestern Medical Center and Dallas VA Medical Center has reported on high-risk medication use among older veterans with chronic pain. She said by email, "As clinicians we need to understand that not all of the outcomes we measure and not all of the medical conditions a patient has will be perceived as equally important (by the patient), so involving patients in the decision of which medications (even if guideline concordant) to add or remove is integral. How we communicate with and educate our older patients about their chronic conditions and the risks/benefits of each medication is evolving; this often differs between specialty providers and primary care providers."

Dr. Makris added, "This publication should heighten our awareness that patients, especially older adults, often have multiple comorbidities that can be treated with multiple guideline driven therapies and that our goal is really to work with patients to determine which combination of drugs and for which condition optimizes the risks/benefits for that individual."

NEW YORK - Most, but not all, guideline-recommended drugs and their combinations yield modest survival benefits in older adults with multiple chronic medical conditions, researchers report.

"Until there is better evidence in older adults with multiple chronic conditions, clinicians need to take a more thoughtful and nuanced approach to medication prescribing," Dr. Mary E. Tinetti from Yale School of Medicine, New Haven, Connecticut said by email. "This is particularly supported by the fact that outside of perhaps anticoagulation for atrial fibrillation, the magnitude of benefit for most of these medications is quite modest."

Nearly 40% of adults 65 years and older take at least five prescription medications, but the benefits of drugs prescribed for a single condition are difficult to ascertain in the

presence of multiple conditions and drugs.

Dr. Tinetti and colleagues used data from the Medicare Current Beneficiary Survey to estimate the association between nine guideline-recommended and commonly prescribed drugs and death in more than 8,500 Medicare participants (mean age, 77.4 years).

The nine drugs included beta-blockers; calcium channel blockers; clopidogrel; metformin; renin-angiotensin system (RAS) blockers; selective serotonin reuptake inhibitors (SSRIs) and selective serotonin norepinephrine reuptake inhibitors (SNRIs); statins; thiazide diuretics; and warfarin.

The most common medical conditions included hypertension, hyperlipidemia, diabetes, and coronary artery disease, the researchers report in The BMJ, online Oct. 2. More than half of the participants took at least three of the nine study drugs, and the mean number of total drugs was 10.0.

The benefits on survival of beta-blockers, calcium channel blockers, RAS blockers, statins, and warfarin were comparable to those reported in randomized controlled trials, although for beta-blockers and warfarin they varied according to coexisting conditions.

Clopidogrel, metformin, and SSRIs/SNRIs, however, were not associated with survival benefits.

The association between drug use and mortality risk was generally similar across patterns of coexisting conditions, suggesting to the researchers "that benefits often remain despite comorbidity."

"Research focused on identifying the medications that have the greatest benefit (defined by patient's outcomes priority such as improved symptoms, optimal physical or cognitive function, or survival) and least harm for key subpopulations of individuals with varying combinations of coexisting conditions should be a top priority," Dr. Tinetti said. "Ironically, although these are the major users of health care, they have largely been ignored in research."

"Many individuals, although they have many conditions, only one or two are really affecting the outcomes that matter most to them," Dr. Tinetti said. "Therefore, medication regimens can be simplified by eliminating medications for conditions that are not likely to benefit the individuals outcome priority, such as improved symptoms, optimal physical or cognitive function, or simplified treatment regimens."

"We know that about one in five individuals are currently receiving guideline-recommended medications for one condition that may be harming another," Dr. Tinetti concluded. "A careful medication review will review these potential offending medications. Given the marginal benefit of each individual medication, and the importance of avoiding harm, potentially offending medications should be discontinued."

Dr. Una Makris from UT Southwestern Medical Center and Dallas VA Medical Center has reported on high-risk medication use among older veterans with chronic pain. She said by email, "As clinicians we need to understand that not all of the outcomes we measure and not all of the medical conditions a patient has will be perceived as equally important (by the patient), so involving patients in the decision of which medications (even if guideline concordant) to add or remove is integral. How we communicate with and educate our older patients about their chronic conditions and the risks/benefits of each medication is evolving; this often differs between specialty providers and primary care providers."

Dr. Makris added, "This publication should heighten our awareness that patients, especially older adults, often have multiple comorbidities that can be treated with multiple guideline driven therapies and that our goal is really to work with patients to determine which combination of drugs and for which condition optimizes the risks/benefits for that individual."

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CHEST: Oral solithromycin shows pneumonia pivotal-trial efficacy

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CHEST: Oral solithromycin shows pneumonia pivotal-trial efficacy

MONTREAL – A new, next-generation macrolide, solithromycin, showed safety and efficacy as a once-daily oral agent that was noninferior to the comparator oral antibiotic, the fluoroquinolone moxifloxacin, in a phase III trial.

Macrolide resistance among strains of Streptococcus pneumoniae that cause many U.S. cases of severe community-acquired pneumonia has become common, complicating treatment of this common infection with a macrolide, Dr. Carlos M. Barrera explained at the annual meeting of the American College of Chest Physicians.

Mitchel L. Zoler/Frontline Medical News
Dr. Carlos M. Barrera

The SOLITAIRE-ORAL (Efficacy and Safety Study of Oral Solithromycin [CEM-101] Compared to Oral Moxifloxacin in Treatment of Patients With Community-Acquired Bacterial Pneumonia) trial enrolled 860 patients with moderate to moderately severe community-acquired pneumonia.

About half of the patients enrolled in the trial underwent microbiologic assessment of their infecting pathogen, and about 40% of cases in each treatment arm had infections caused by S. pneumoniae. In this subgroup, the 5-day regimen of solithromycin tested in the study succeeded in clearing the infection in 89% of patients, comparable to the 83% success rate achieved with a 7-day course of moxifloxacin (Avelox), said Dr. Barrera, a pulmonologist who practices in Miami.

The study’s primary endpoint for Food and Drug Administration approval of solithromycin was early clinical response, defined as an improvement in at least two listed symptoms at 72 hours after onset of treatment. That endpoint occurred in 78% of patients enrolled in each of the two arms of the study.

The data make solithromycin look like a promising way to once again have a macrolide available for empiric oral treatment of more severe community-acquired pneumonia, pending full peer review of the data, commented Dr. Muthiah P. Muthiah, a pulmonologist at the University of Tennessee Health Science Center in Memphis.

“A couple of decades ago, you could comfortably treat a patient with severe community-acquired pneumonia with a macrolide, but you can’t do that anymore,” Dr. Muthiah said in an interview.

If the newly reported data on oral solithromycin hold up under further review, it would mean that solithromycin was as effective as a potent quinolone, which remains an effective monotherapy for community-acquired pneumonia in patients who do not require treatment in an intensive care unit, Dr. Muthiah noted.

A companion study, SOLITAIRE-IV, is a phase III pivotal trial assessing the safety and efficacy of solithromycin when begun intravenously for treating community-acquired pneumonia, followed by a switch to oral dosing, in comparison with intravenous followed by oral treatment with moxifloxacin.

Once those data are fully collected and analyzed, the company will submit the information from both trials to the FDA, said Dr. David Oldach, chief medical officer for Cempra.

Results from the intravenous trial, reported in a preliminary way by Cempra Oct. 16 in a press release, showed that the solithromycin treatment regimen tested in SOLITAIRE-IV met its noninferiority targets, compared with moxifloxacin. The safety results, however, showed that solithromycin produced a higher number of patients with a liver-enzyme elevation, compared with patients treated with moxifloxacin.

In SOLITAIRE-IV, Cempra reported that grade 3 increase in levels of alanine transaminase (ALT) occurred in 8% of patients on solithromycin and in 3% of patients on moxifloxacin. Grade 4 increases in ALT occurred in less than 1% of patients in both treatment arms.

In the current, orally administered trial, grade 3 ALT increases occurred in 5% of patients treated with solithromycin and in 2% of patients treated with moxifloxacin, Dr. Barrera reported. Grade 4 ALT increases occurred in 0.5% of patients treated with solithromycin and in 1.2% of those treated with moxifloxacin. No patients in either arm developed an elevation of both ALT and bilirubin, and the ALT increases seen were reversible and asymptomatic, Dr. Barrera said.

By other assessments, the safety profiles of solithromycin and moxifloxacin were similar: 7% of patients on solithromycin and 6% on moxifloxacin had a serious adverse event, and 4% of patients in each study arm discontinued treatment because of an adverse event.

SOLITAIRE-ORAL was sponsored by Cempra, the company developing solithromycin. Dr. Barrera has received research funding from Cempra. Dr. Muthiah had no disclosures.

The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

mzoler@frontlinemedcom.com

On Twitter @mitchelzoler

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MONTREAL – A new, next-generation macrolide, solithromycin, showed safety and efficacy as a once-daily oral agent that was noninferior to the comparator oral antibiotic, the fluoroquinolone moxifloxacin, in a phase III trial.

Macrolide resistance among strains of Streptococcus pneumoniae that cause many U.S. cases of severe community-acquired pneumonia has become common, complicating treatment of this common infection with a macrolide, Dr. Carlos M. Barrera explained at the annual meeting of the American College of Chest Physicians.

Mitchel L. Zoler/Frontline Medical News
Dr. Carlos M. Barrera

The SOLITAIRE-ORAL (Efficacy and Safety Study of Oral Solithromycin [CEM-101] Compared to Oral Moxifloxacin in Treatment of Patients With Community-Acquired Bacterial Pneumonia) trial enrolled 860 patients with moderate to moderately severe community-acquired pneumonia.

About half of the patients enrolled in the trial underwent microbiologic assessment of their infecting pathogen, and about 40% of cases in each treatment arm had infections caused by S. pneumoniae. In this subgroup, the 5-day regimen of solithromycin tested in the study succeeded in clearing the infection in 89% of patients, comparable to the 83% success rate achieved with a 7-day course of moxifloxacin (Avelox), said Dr. Barrera, a pulmonologist who practices in Miami.

The study’s primary endpoint for Food and Drug Administration approval of solithromycin was early clinical response, defined as an improvement in at least two listed symptoms at 72 hours after onset of treatment. That endpoint occurred in 78% of patients enrolled in each of the two arms of the study.

The data make solithromycin look like a promising way to once again have a macrolide available for empiric oral treatment of more severe community-acquired pneumonia, pending full peer review of the data, commented Dr. Muthiah P. Muthiah, a pulmonologist at the University of Tennessee Health Science Center in Memphis.

“A couple of decades ago, you could comfortably treat a patient with severe community-acquired pneumonia with a macrolide, but you can’t do that anymore,” Dr. Muthiah said in an interview.

If the newly reported data on oral solithromycin hold up under further review, it would mean that solithromycin was as effective as a potent quinolone, which remains an effective monotherapy for community-acquired pneumonia in patients who do not require treatment in an intensive care unit, Dr. Muthiah noted.

A companion study, SOLITAIRE-IV, is a phase III pivotal trial assessing the safety and efficacy of solithromycin when begun intravenously for treating community-acquired pneumonia, followed by a switch to oral dosing, in comparison with intravenous followed by oral treatment with moxifloxacin.

Once those data are fully collected and analyzed, the company will submit the information from both trials to the FDA, said Dr. David Oldach, chief medical officer for Cempra.

Results from the intravenous trial, reported in a preliminary way by Cempra Oct. 16 in a press release, showed that the solithromycin treatment regimen tested in SOLITAIRE-IV met its noninferiority targets, compared with moxifloxacin. The safety results, however, showed that solithromycin produced a higher number of patients with a liver-enzyme elevation, compared with patients treated with moxifloxacin.

In SOLITAIRE-IV, Cempra reported that grade 3 increase in levels of alanine transaminase (ALT) occurred in 8% of patients on solithromycin and in 3% of patients on moxifloxacin. Grade 4 increases in ALT occurred in less than 1% of patients in both treatment arms.

In the current, orally administered trial, grade 3 ALT increases occurred in 5% of patients treated with solithromycin and in 2% of patients treated with moxifloxacin, Dr. Barrera reported. Grade 4 ALT increases occurred in 0.5% of patients treated with solithromycin and in 1.2% of those treated with moxifloxacin. No patients in either arm developed an elevation of both ALT and bilirubin, and the ALT increases seen were reversible and asymptomatic, Dr. Barrera said.

By other assessments, the safety profiles of solithromycin and moxifloxacin were similar: 7% of patients on solithromycin and 6% on moxifloxacin had a serious adverse event, and 4% of patients in each study arm discontinued treatment because of an adverse event.

SOLITAIRE-ORAL was sponsored by Cempra, the company developing solithromycin. Dr. Barrera has received research funding from Cempra. Dr. Muthiah had no disclosures.

The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

mzoler@frontlinemedcom.com

On Twitter @mitchelzoler

MONTREAL – A new, next-generation macrolide, solithromycin, showed safety and efficacy as a once-daily oral agent that was noninferior to the comparator oral antibiotic, the fluoroquinolone moxifloxacin, in a phase III trial.

Macrolide resistance among strains of Streptococcus pneumoniae that cause many U.S. cases of severe community-acquired pneumonia has become common, complicating treatment of this common infection with a macrolide, Dr. Carlos M. Barrera explained at the annual meeting of the American College of Chest Physicians.

Mitchel L. Zoler/Frontline Medical News
Dr. Carlos M. Barrera

The SOLITAIRE-ORAL (Efficacy and Safety Study of Oral Solithromycin [CEM-101] Compared to Oral Moxifloxacin in Treatment of Patients With Community-Acquired Bacterial Pneumonia) trial enrolled 860 patients with moderate to moderately severe community-acquired pneumonia.

About half of the patients enrolled in the trial underwent microbiologic assessment of their infecting pathogen, and about 40% of cases in each treatment arm had infections caused by S. pneumoniae. In this subgroup, the 5-day regimen of solithromycin tested in the study succeeded in clearing the infection in 89% of patients, comparable to the 83% success rate achieved with a 7-day course of moxifloxacin (Avelox), said Dr. Barrera, a pulmonologist who practices in Miami.

The study’s primary endpoint for Food and Drug Administration approval of solithromycin was early clinical response, defined as an improvement in at least two listed symptoms at 72 hours after onset of treatment. That endpoint occurred in 78% of patients enrolled in each of the two arms of the study.

The data make solithromycin look like a promising way to once again have a macrolide available for empiric oral treatment of more severe community-acquired pneumonia, pending full peer review of the data, commented Dr. Muthiah P. Muthiah, a pulmonologist at the University of Tennessee Health Science Center in Memphis.

“A couple of decades ago, you could comfortably treat a patient with severe community-acquired pneumonia with a macrolide, but you can’t do that anymore,” Dr. Muthiah said in an interview.

If the newly reported data on oral solithromycin hold up under further review, it would mean that solithromycin was as effective as a potent quinolone, which remains an effective monotherapy for community-acquired pneumonia in patients who do not require treatment in an intensive care unit, Dr. Muthiah noted.

A companion study, SOLITAIRE-IV, is a phase III pivotal trial assessing the safety and efficacy of solithromycin when begun intravenously for treating community-acquired pneumonia, followed by a switch to oral dosing, in comparison with intravenous followed by oral treatment with moxifloxacin.

Once those data are fully collected and analyzed, the company will submit the information from both trials to the FDA, said Dr. David Oldach, chief medical officer for Cempra.

Results from the intravenous trial, reported in a preliminary way by Cempra Oct. 16 in a press release, showed that the solithromycin treatment regimen tested in SOLITAIRE-IV met its noninferiority targets, compared with moxifloxacin. The safety results, however, showed that solithromycin produced a higher number of patients with a liver-enzyme elevation, compared with patients treated with moxifloxacin.

In SOLITAIRE-IV, Cempra reported that grade 3 increase in levels of alanine transaminase (ALT) occurred in 8% of patients on solithromycin and in 3% of patients on moxifloxacin. Grade 4 increases in ALT occurred in less than 1% of patients in both treatment arms.

In the current, orally administered trial, grade 3 ALT increases occurred in 5% of patients treated with solithromycin and in 2% of patients treated with moxifloxacin, Dr. Barrera reported. Grade 4 ALT increases occurred in 0.5% of patients treated with solithromycin and in 1.2% of those treated with moxifloxacin. No patients in either arm developed an elevation of both ALT and bilirubin, and the ALT increases seen were reversible and asymptomatic, Dr. Barrera said.

By other assessments, the safety profiles of solithromycin and moxifloxacin were similar: 7% of patients on solithromycin and 6% on moxifloxacin had a serious adverse event, and 4% of patients in each study arm discontinued treatment because of an adverse event.

SOLITAIRE-ORAL was sponsored by Cempra, the company developing solithromycin. Dr. Barrera has received research funding from Cempra. Dr. Muthiah had no disclosures.

The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel

mzoler@frontlinemedcom.com

On Twitter @mitchelzoler

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Key clinical point: A next-generation, orally administered macrolide, solithromycin, showed efficacy that was noninferior to moxifloxacin against moderate to moderately severe community-acquired pneumonia in a phase III pivotal trial.

Major finding: Both solithromycin and moxifloxacin produced a 78% early clinical response rate, the study’s primary endpoint for Food and Drug Administration approval.

Data source: SOLITAIRE-ORAL, a multicenter, international phase III trial involving 860 patients with community-acquired pneumonia.

Disclosures: SOLITAIRE-ORAL was sponsored by Cempra, the company developing solithromycin. Dr. Barrera has received research funding from Cempra. Dr. Muthiah had no disclosures.

Every 10° C temperature drop increases STEMI risk by 7%

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Every 10° C temperature drop increases STEMI risk by 7%

LONDON – For every 10° C drop in the highest daily air temperature, the risk for ST-elevation myocardial infraction was found to increase by 7% in a Canadian study.

Researchers at the University of Manitoba in Winnipeg performed a retrospective study of all STEMI cases that had occurred in the city during 2009-2014 and linked them to daily air temperatures collected from Environment Canada.

Dr. Shuangbo Liu

“There is a clear correlation between cold weather and heart attacks,” said Dr. Shuangbo Liu, who presented the findings at the annual congress of the European Society of Cardiology. Previous studies have shown that the incidence of, hospitalization for, and death as a result of, MI are all increased as the weather gets colder. But until now, it wasn’t known what the specific relationship between temperature drops and the rate of STEMI was, she explained.

STEMIs typically occur as a result of acute rupture of an atherosclerotic plaque, but although the risk factors for the development for the plaques have been widely studied, the risk factors for rupture are not so well defined. There is some suggestion that colder weather is linked to factors that might predispose to plaque rupture, such as an increased cardiac workload, higher blood pressure, and an increased procoagulant state.

Winnipeg is one of the coldest large cities in the world in winter, but has more temperate fall and spring seasons with hot and dry summers, and so provided the ideal place to study the effect of environmental temperature on the risk of STEMI, Dr. Liu said.

Over the 6-year retrospective audit period, 1,817 STEMIs were recorded. Only STEMIs that were reported within 12 hours of admission were included in the analyses, with almost all (95%) patients undergoing primary percutaneous coronary intervention.

The highest daily temperature reached was 20° C on 31% of the study days, 0°-20° on 38% of the study days, and less than 0° on 32% of the study days.

The cold – but not warm – weather was associated with the risk of STEMI, with the daily high temperature being the strongest predictor of having a heart attack. On the study days where the highest temperature reached was less than 0°, the STEMI event rate was 0.94 per day. This rate was significantly higher than that when the daily high temperature was above 0°, at a rate of 0.79 per day overall (P less than .001)

STEMI rates on days that were 0°-10°, 10°-20°, 20°-30°, and 30° and above were 0.89, 0.81, 0.74, and 0.61 per day, respectively.

Although any snowfall in the last 2 days was predictive of STEMI on univariate analysis, upping the risk by 20%, it did not remain so after adjustment for temperature.

The daily high temperatures on the 1-2 days preceding STEMI were found to be predictive in univariate analyses, increasing the relative risk by 19%-20% (P less than .001).

Dr. Liu acknowledged the limitations of using retrospective administrative data and that further prospective validation of the results would be needed. However, these data are “thought provoking,” she said, and suggest that increasing public awareness is needed and perhaps health care resources need to be reallocated to help prevent the seasonal surge in STEMI observed in the study.

Dr. Liu reported having no relevant financial disclosures.

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LONDON – For every 10° C drop in the highest daily air temperature, the risk for ST-elevation myocardial infraction was found to increase by 7% in a Canadian study.

Researchers at the University of Manitoba in Winnipeg performed a retrospective study of all STEMI cases that had occurred in the city during 2009-2014 and linked them to daily air temperatures collected from Environment Canada.

Dr. Shuangbo Liu

“There is a clear correlation between cold weather and heart attacks,” said Dr. Shuangbo Liu, who presented the findings at the annual congress of the European Society of Cardiology. Previous studies have shown that the incidence of, hospitalization for, and death as a result of, MI are all increased as the weather gets colder. But until now, it wasn’t known what the specific relationship between temperature drops and the rate of STEMI was, she explained.

STEMIs typically occur as a result of acute rupture of an atherosclerotic plaque, but although the risk factors for the development for the plaques have been widely studied, the risk factors for rupture are not so well defined. There is some suggestion that colder weather is linked to factors that might predispose to plaque rupture, such as an increased cardiac workload, higher blood pressure, and an increased procoagulant state.

Winnipeg is one of the coldest large cities in the world in winter, but has more temperate fall and spring seasons with hot and dry summers, and so provided the ideal place to study the effect of environmental temperature on the risk of STEMI, Dr. Liu said.

Over the 6-year retrospective audit period, 1,817 STEMIs were recorded. Only STEMIs that were reported within 12 hours of admission were included in the analyses, with almost all (95%) patients undergoing primary percutaneous coronary intervention.

The highest daily temperature reached was 20° C on 31% of the study days, 0°-20° on 38% of the study days, and less than 0° on 32% of the study days.

The cold – but not warm – weather was associated with the risk of STEMI, with the daily high temperature being the strongest predictor of having a heart attack. On the study days where the highest temperature reached was less than 0°, the STEMI event rate was 0.94 per day. This rate was significantly higher than that when the daily high temperature was above 0°, at a rate of 0.79 per day overall (P less than .001)

STEMI rates on days that were 0°-10°, 10°-20°, 20°-30°, and 30° and above were 0.89, 0.81, 0.74, and 0.61 per day, respectively.

Although any snowfall in the last 2 days was predictive of STEMI on univariate analysis, upping the risk by 20%, it did not remain so after adjustment for temperature.

The daily high temperatures on the 1-2 days preceding STEMI were found to be predictive in univariate analyses, increasing the relative risk by 19%-20% (P less than .001).

Dr. Liu acknowledged the limitations of using retrospective administrative data and that further prospective validation of the results would be needed. However, these data are “thought provoking,” she said, and suggest that increasing public awareness is needed and perhaps health care resources need to be reallocated to help prevent the seasonal surge in STEMI observed in the study.

Dr. Liu reported having no relevant financial disclosures.

LONDON – For every 10° C drop in the highest daily air temperature, the risk for ST-elevation myocardial infraction was found to increase by 7% in a Canadian study.

Researchers at the University of Manitoba in Winnipeg performed a retrospective study of all STEMI cases that had occurred in the city during 2009-2014 and linked them to daily air temperatures collected from Environment Canada.

Dr. Shuangbo Liu

“There is a clear correlation between cold weather and heart attacks,” said Dr. Shuangbo Liu, who presented the findings at the annual congress of the European Society of Cardiology. Previous studies have shown that the incidence of, hospitalization for, and death as a result of, MI are all increased as the weather gets colder. But until now, it wasn’t known what the specific relationship between temperature drops and the rate of STEMI was, she explained.

STEMIs typically occur as a result of acute rupture of an atherosclerotic plaque, but although the risk factors for the development for the plaques have been widely studied, the risk factors for rupture are not so well defined. There is some suggestion that colder weather is linked to factors that might predispose to plaque rupture, such as an increased cardiac workload, higher blood pressure, and an increased procoagulant state.

Winnipeg is one of the coldest large cities in the world in winter, but has more temperate fall and spring seasons with hot and dry summers, and so provided the ideal place to study the effect of environmental temperature on the risk of STEMI, Dr. Liu said.

Over the 6-year retrospective audit period, 1,817 STEMIs were recorded. Only STEMIs that were reported within 12 hours of admission were included in the analyses, with almost all (95%) patients undergoing primary percutaneous coronary intervention.

The highest daily temperature reached was 20° C on 31% of the study days, 0°-20° on 38% of the study days, and less than 0° on 32% of the study days.

The cold – but not warm – weather was associated with the risk of STEMI, with the daily high temperature being the strongest predictor of having a heart attack. On the study days where the highest temperature reached was less than 0°, the STEMI event rate was 0.94 per day. This rate was significantly higher than that when the daily high temperature was above 0°, at a rate of 0.79 per day overall (P less than .001)

STEMI rates on days that were 0°-10°, 10°-20°, 20°-30°, and 30° and above were 0.89, 0.81, 0.74, and 0.61 per day, respectively.

Although any snowfall in the last 2 days was predictive of STEMI on univariate analysis, upping the risk by 20%, it did not remain so after adjustment for temperature.

The daily high temperatures on the 1-2 days preceding STEMI were found to be predictive in univariate analyses, increasing the relative risk by 19%-20% (P less than .001).

Dr. Liu acknowledged the limitations of using retrospective administrative data and that further prospective validation of the results would be needed. However, these data are “thought provoking,” she said, and suggest that increasing public awareness is needed and perhaps health care resources need to be reallocated to help prevent the seasonal surge in STEMI observed in the study.

Dr. Liu reported having no relevant financial disclosures.

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Every 10° C temperature drop increases STEMI risk by 7%
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Key clinical point: As the air temperature gets progressively lower, the STEMI risk increases.

Major finding: The STEMI event rate was 0.94 per day when the daily high temperature was below 0° C vs. 0.79 per day when it was above 0° C (P less than .001).

Data source: A retrospective audit of all 1,817 cases of STEMI occurring in Winnipeg between 2009 and 2014.

Disclosures: Dr. Liu reported having no relevant financial disclosures.

Impatient patients

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Impatient patients

Patients are often impatient. They want answers.

To some extent, I can’t blame them. When it’s your disease, you want to know what’s going on and what you can do about it. So I try to keep on top of results as they come in and have my staff contact people to relay the news.

The problem is that medicine (like life) does not provide immediate gratification. It takes time to get routine labs back, and some (such as send-outs) can even take a few weeks.

Radiology reports usually have a 24-hour turnaround, and radiologists will call me if they find something urgent. Yet, it’s amazing how many people will call for results before they even leave that facility.

Did it always used to be like this? Were people always this demanding of immediate answers and test results from their doctors?

We live in a world that gets faster and faster, and people get used to things happening quickly. It’s an age of instant gratification, and having to wait for test results seems silly to laypeople. After all, don’t TV medical shows have results coming back quickly, gleaming advanced scanners, and the machine that goes “ping”? So why doesn’t that happen when you visit a doctor in real life?

Of course, I could get the results faster. I could order everything STAT and abuse the privilege ... but crying wolf only works a few times, and then you can’t do it when you really need it. I could call the radiologists for verbal MRI reads ... but then I’m taking their time away from more urgent cases, and other patients with more concerning issues are affected. So I don’t do that routinely, either.

Even people in slow-moving lines of work can have trouble grasping that medicine is the same way. I tell them we’ll call them when we get results, and try to stay on top of things. I admit sometimes things may slip through, and they’re right to call and ask.

Most patients understand this, and are, well, patient. I just wish more were. It would save a lot of time, effort, and frustration for all involved, including them.

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

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Patients are often impatient. They want answers.

To some extent, I can’t blame them. When it’s your disease, you want to know what’s going on and what you can do about it. So I try to keep on top of results as they come in and have my staff contact people to relay the news.

The problem is that medicine (like life) does not provide immediate gratification. It takes time to get routine labs back, and some (such as send-outs) can even take a few weeks.

Radiology reports usually have a 24-hour turnaround, and radiologists will call me if they find something urgent. Yet, it’s amazing how many people will call for results before they even leave that facility.

Did it always used to be like this? Were people always this demanding of immediate answers and test results from their doctors?

We live in a world that gets faster and faster, and people get used to things happening quickly. It’s an age of instant gratification, and having to wait for test results seems silly to laypeople. After all, don’t TV medical shows have results coming back quickly, gleaming advanced scanners, and the machine that goes “ping”? So why doesn’t that happen when you visit a doctor in real life?

Of course, I could get the results faster. I could order everything STAT and abuse the privilege ... but crying wolf only works a few times, and then you can’t do it when you really need it. I could call the radiologists for verbal MRI reads ... but then I’m taking their time away from more urgent cases, and other patients with more concerning issues are affected. So I don’t do that routinely, either.

Even people in slow-moving lines of work can have trouble grasping that medicine is the same way. I tell them we’ll call them when we get results, and try to stay on top of things. I admit sometimes things may slip through, and they’re right to call and ask.

Most patients understand this, and are, well, patient. I just wish more were. It would save a lot of time, effort, and frustration for all involved, including them.

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

Patients are often impatient. They want answers.

To some extent, I can’t blame them. When it’s your disease, you want to know what’s going on and what you can do about it. So I try to keep on top of results as they come in and have my staff contact people to relay the news.

The problem is that medicine (like life) does not provide immediate gratification. It takes time to get routine labs back, and some (such as send-outs) can even take a few weeks.

Radiology reports usually have a 24-hour turnaround, and radiologists will call me if they find something urgent. Yet, it’s amazing how many people will call for results before they even leave that facility.

Did it always used to be like this? Were people always this demanding of immediate answers and test results from their doctors?

We live in a world that gets faster and faster, and people get used to things happening quickly. It’s an age of instant gratification, and having to wait for test results seems silly to laypeople. After all, don’t TV medical shows have results coming back quickly, gleaming advanced scanners, and the machine that goes “ping”? So why doesn’t that happen when you visit a doctor in real life?

Of course, I could get the results faster. I could order everything STAT and abuse the privilege ... but crying wolf only works a few times, and then you can’t do it when you really need it. I could call the radiologists for verbal MRI reads ... but then I’m taking their time away from more urgent cases, and other patients with more concerning issues are affected. So I don’t do that routinely, either.

Even people in slow-moving lines of work can have trouble grasping that medicine is the same way. I tell them we’ll call them when we get results, and try to stay on top of things. I admit sometimes things may slip through, and they’re right to call and ask.

Most patients understand this, and are, well, patient. I just wish more were. It would save a lot of time, effort, and frustration for all involved, including them.

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

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ACS: No pull-out pneumothorax with ‘party balloon Valsalva’

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CHICAGO – Investigators have come up with a simple way to reduce and maybe even eliminate pull-out pneumothoraces during chest tube removal.

Instead of standard inhale or exhale Valsalva maneuvers, they have their patients blow up a party balloon as the tube is pulled.

Courtesy Dr. Puwadon Thitivaraporn

That produces the same Valsalva effects as the standard maneuvers, but with two significant advantages. First, it’s easy to explain and for patients to understand and do – not much more instruction is required than “blow up the balloon” – and, secondly, the inflating balloon is a visual check to make sure patients are doing the maneuver correctly. “It’s easy. Everyone can do it,” said lead investigator Dr. Puwadon Thitivaraporn, who developed the technique with Dr. Kritaya Kritayakirana and colleagues at King Chulalongkorn Memorial Hospital in Bangkok, Thailand.

To see how well it works, the team randomized 10 women and 38 men about equally to four removal techniques: the standard expire Valsalva, the standard inspire Valsalva, and two balloon maneuvers – blowing the balloon up after a deep breath and blowing it up with residual lung volume after an initial exhalation.

The subjects were trauma patients 15-64 years old, with a mean age of 38 years. Lung injuries, rib fractures, and tube suction were a bit more common in the standard maneuver groups. Patients with tracheotomies, chronic lung disease, and Glasgow Coma Scores below 13 were excluded from the study. Hemopneumothorax was the most common indication for tube placement.

Dr. Puwadon Thitivaraporn

Two patients in each of the standard groups (16%) developed a pull-out pneumothorax within 24 hours of tube removal, confirmed by x-ray. One required chest tube reinsertion, and all four ended up spending extra time in the hospital. Similar problems have been reported in American medicine (J Trauma. 2001 Apr;50[4]:674-7).

Meanwhile, not a single balloon patient had a lung collapse when their tube was pulled.

Because of the small number of subjects, the differences weren’t statistically significant, but they came close in a group comparison of standard patients with balloon patients (P = .11). The investigators estimated they would need almost 600 hundred subjects to reach statistical significance.

Even so, the party balloon technique appears to be “easier and safer” than standard maneuvers, as well as “reproducible and cheap, and it can prevent recurrent pneumothorax. It can be used as an alternative to the classic Valsalva,” said Dr. Thitivaraporn, a cardiothoracic surgery resident at the Bangkok hospital.

The balloon method is being used there now in nontrauma patients, as well, but the standard maneuvers are also being used until the balloon technique shows statistically significant benefits, he said.

With manometry, the team found that a party balloon’s internal pressure builds quickly as it’s inflated from a starting diameter of about 4.5 cm to about 9 cm, peaking at about 60 mm Hg; pressure trails off to about 40 mm Hg as inflation continues past 9 cm.

The investigators have no relevant disclosures.

aotto@frontlinemedcom.com

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CHICAGO – Investigators have come up with a simple way to reduce and maybe even eliminate pull-out pneumothoraces during chest tube removal.

Instead of standard inhale or exhale Valsalva maneuvers, they have their patients blow up a party balloon as the tube is pulled.

Courtesy Dr. Puwadon Thitivaraporn

That produces the same Valsalva effects as the standard maneuvers, but with two significant advantages. First, it’s easy to explain and for patients to understand and do – not much more instruction is required than “blow up the balloon” – and, secondly, the inflating balloon is a visual check to make sure patients are doing the maneuver correctly. “It’s easy. Everyone can do it,” said lead investigator Dr. Puwadon Thitivaraporn, who developed the technique with Dr. Kritaya Kritayakirana and colleagues at King Chulalongkorn Memorial Hospital in Bangkok, Thailand.

To see how well it works, the team randomized 10 women and 38 men about equally to four removal techniques: the standard expire Valsalva, the standard inspire Valsalva, and two balloon maneuvers – blowing the balloon up after a deep breath and blowing it up with residual lung volume after an initial exhalation.

The subjects were trauma patients 15-64 years old, with a mean age of 38 years. Lung injuries, rib fractures, and tube suction were a bit more common in the standard maneuver groups. Patients with tracheotomies, chronic lung disease, and Glasgow Coma Scores below 13 were excluded from the study. Hemopneumothorax was the most common indication for tube placement.

Dr. Puwadon Thitivaraporn

Two patients in each of the standard groups (16%) developed a pull-out pneumothorax within 24 hours of tube removal, confirmed by x-ray. One required chest tube reinsertion, and all four ended up spending extra time in the hospital. Similar problems have been reported in American medicine (J Trauma. 2001 Apr;50[4]:674-7).

Meanwhile, not a single balloon patient had a lung collapse when their tube was pulled.

Because of the small number of subjects, the differences weren’t statistically significant, but they came close in a group comparison of standard patients with balloon patients (P = .11). The investigators estimated they would need almost 600 hundred subjects to reach statistical significance.

Even so, the party balloon technique appears to be “easier and safer” than standard maneuvers, as well as “reproducible and cheap, and it can prevent recurrent pneumothorax. It can be used as an alternative to the classic Valsalva,” said Dr. Thitivaraporn, a cardiothoracic surgery resident at the Bangkok hospital.

The balloon method is being used there now in nontrauma patients, as well, but the standard maneuvers are also being used until the balloon technique shows statistically significant benefits, he said.

With manometry, the team found that a party balloon’s internal pressure builds quickly as it’s inflated from a starting diameter of about 4.5 cm to about 9 cm, peaking at about 60 mm Hg; pressure trails off to about 40 mm Hg as inflation continues past 9 cm.

The investigators have no relevant disclosures.

aotto@frontlinemedcom.com

CHICAGO – Investigators have come up with a simple way to reduce and maybe even eliminate pull-out pneumothoraces during chest tube removal.

Instead of standard inhale or exhale Valsalva maneuvers, they have their patients blow up a party balloon as the tube is pulled.

Courtesy Dr. Puwadon Thitivaraporn

That produces the same Valsalva effects as the standard maneuvers, but with two significant advantages. First, it’s easy to explain and for patients to understand and do – not much more instruction is required than “blow up the balloon” – and, secondly, the inflating balloon is a visual check to make sure patients are doing the maneuver correctly. “It’s easy. Everyone can do it,” said lead investigator Dr. Puwadon Thitivaraporn, who developed the technique with Dr. Kritaya Kritayakirana and colleagues at King Chulalongkorn Memorial Hospital in Bangkok, Thailand.

To see how well it works, the team randomized 10 women and 38 men about equally to four removal techniques: the standard expire Valsalva, the standard inspire Valsalva, and two balloon maneuvers – blowing the balloon up after a deep breath and blowing it up with residual lung volume after an initial exhalation.

The subjects were trauma patients 15-64 years old, with a mean age of 38 years. Lung injuries, rib fractures, and tube suction were a bit more common in the standard maneuver groups. Patients with tracheotomies, chronic lung disease, and Glasgow Coma Scores below 13 were excluded from the study. Hemopneumothorax was the most common indication for tube placement.

Dr. Puwadon Thitivaraporn

Two patients in each of the standard groups (16%) developed a pull-out pneumothorax within 24 hours of tube removal, confirmed by x-ray. One required chest tube reinsertion, and all four ended up spending extra time in the hospital. Similar problems have been reported in American medicine (J Trauma. 2001 Apr;50[4]:674-7).

Meanwhile, not a single balloon patient had a lung collapse when their tube was pulled.

Because of the small number of subjects, the differences weren’t statistically significant, but they came close in a group comparison of standard patients with balloon patients (P = .11). The investigators estimated they would need almost 600 hundred subjects to reach statistical significance.

Even so, the party balloon technique appears to be “easier and safer” than standard maneuvers, as well as “reproducible and cheap, and it can prevent recurrent pneumothorax. It can be used as an alternative to the classic Valsalva,” said Dr. Thitivaraporn, a cardiothoracic surgery resident at the Bangkok hospital.

The balloon method is being used there now in nontrauma patients, as well, but the standard maneuvers are also being used until the balloon technique shows statistically significant benefits, he said.

With manometry, the team found that a party balloon’s internal pressure builds quickly as it’s inflated from a starting diameter of about 4.5 cm to about 9 cm, peaking at about 60 mm Hg; pressure trails off to about 40 mm Hg as inflation continues past 9 cm.

The investigators have no relevant disclosures.

aotto@frontlinemedcom.com

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Key clinical point: The next time you pull a chest tube, you might want to ask your patient to blow up a balloon.

Major finding: Sixteen percent of patients collapsed a lung with classic inhale/exhale Valsalva maneuvers during chest tube removal, but none did with the balloon technique.

Data source: Randomized, controlled trial of 48 chest tube patients.

Disclosures: The investigators have no relevant disclosures.

Disparity found in PPI risk perception among physicians

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Disparity found in PPI risk perception among physicians

HONOLULU – A survey of almost 500 physicians found that primary care physicians (PCPs) are far more concerned about the reported adverse effects of proton pump inhibitors (PPIs) than are gastroenterologists and use them more sparingly. The results of the survey were presented at the 2015 American College of Gastroenterology (ACG) Annual Scientific Meeting and Postgraduate Course.

“We asked physicians about a broad array of adverse effects from long-term use of PPIs and PCPs expressed greater concern for all of them,” reported Dr. Samir Kapadia, division of gastroenterology and hepatology, State University of New York at Stony Brook. “Alternatively, significantly more gastroenterologists responded that they really had no concerns for any of these adverse effects.”

© nebari/Thinkstock

The evidence may be on the side of the gastroenterologists, according to Dr. Kapadia. Although PPIs have been associated with hypomagnesemia, iron deficiency, vitamin B12 deficiency, diarrhea caused by Clostridium difficile infection, and interactions with the platelet inhibitor clopidogrel, Dr. Kapadia noted that few associations have been made on the basis of prospective trials.

“Much of the available literature is observational or based on studies that are heterogeneous and small,” Dr. Kapadia. “Confounding factors in these studies also limit interpretation.”

In this study for which surveys are still being collected, a 19-item questionnaire was distributed to 384 gastroenterologists and 88 PCPs. In addition to demographic information, the surveys were designed to capture opinions about the safety of PPIs as well as elicit information about how these agents are being used in clinical practice.

Of side effects associated with PPIs, significantly more PCPs than gastroenterologists expressed concern about hypomagnesemia (41.7% vs. 6.3%; P less than .001), iron deficiency (33.3% vs. 11.4%; P = .014) and vitamin B12 deficiency (47.6% vs. 17.3%; P = .005). From the other perspective, when asked about their concern for these and other safety issues, the answer was “none of the above” for 26.2% of PCPs and 67.1% of gastroenterologists (P less than .001).

When given specific risk scenarios, PCPs were consistently more prepared to discontinue PPI therapy than were gastroenterologists. For example, in a hypothetical 65-year-old with GERD symptoms expressing concern about risk of hip fracture, 64.5% of PCPs vs. 30.7% of gastroenterologists (P less than .001) responded that they would discontinue the PPI. In a patient of the same age about to start broad-spectrum antibiotics for cellulitis, 16.1% of PCPs, but only 4.3% of gastroenterologists (P = .001) reported that they would discontinue PPIs. Conversely, 68.5% of gastroenterologists vs. 54.2% of PCPs (P = .028) would continue therapy.

For a hypothetical 65-year-old with symptomatic gastroesophageal reflux disease (GERD) initiating clopidogrel, 50% of PCPs vs. 27.6% of gastroenterologists (P = .001) would switch to an H2-receptor antagonist. Only 27.3% of PCPs vs. 46.4% of gastroenterologists (P = .001) would continue the PPI. When the age of the hypothetical patient is raised to 75 years, PCPs, but not gastroenterologists, were even more likely to discontinue PPI therapy.

Using PPIs appropriately is an important goal, Dr. Kapadia emphasized. However, he suggested that many warnings about the risks of PPIs, including those issued by the Food and Drug Administration, are incompletely substantiated and are not being evaluated with an appropriate attention to benefit-to-risk ratio of a drug that not only controls symptoms but may also reduce risk of GI bleeding. Others share this point of view.

“The pendulum has moved too far in regard to the fear of potential side effects,” agreed Dr. Philip Katz, chairman, division of gastroenterology, Albert Einstein Medical Center, Philadelphia. First author of the 2013 ACG guidelines on GERD, which addresses the safety of PPIs (Am J Gastroenterol. 2013;108:308-28), Dr. Katz said in an interview that the data generated by this survey suggest that PCPs are misinterpreting the relative risks and need to be given more information about indications in which benefits are well established.

Making the same point, Dr. Nicholas J. Shaheen, chief, division of gastroenterology and hepatology, University of North Carolina, Chapel Hill, suggested “This may be a failure on our part [as gastroenterologists] to educate our colleagues about the role of these drugs.”

Dr. Kapadia reported no potential conflicts.

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HONOLULU – A survey of almost 500 physicians found that primary care physicians (PCPs) are far more concerned about the reported adverse effects of proton pump inhibitors (PPIs) than are gastroenterologists and use them more sparingly. The results of the survey were presented at the 2015 American College of Gastroenterology (ACG) Annual Scientific Meeting and Postgraduate Course.

“We asked physicians about a broad array of adverse effects from long-term use of PPIs and PCPs expressed greater concern for all of them,” reported Dr. Samir Kapadia, division of gastroenterology and hepatology, State University of New York at Stony Brook. “Alternatively, significantly more gastroenterologists responded that they really had no concerns for any of these adverse effects.”

© nebari/Thinkstock

The evidence may be on the side of the gastroenterologists, according to Dr. Kapadia. Although PPIs have been associated with hypomagnesemia, iron deficiency, vitamin B12 deficiency, diarrhea caused by Clostridium difficile infection, and interactions with the platelet inhibitor clopidogrel, Dr. Kapadia noted that few associations have been made on the basis of prospective trials.

“Much of the available literature is observational or based on studies that are heterogeneous and small,” Dr. Kapadia. “Confounding factors in these studies also limit interpretation.”

In this study for which surveys are still being collected, a 19-item questionnaire was distributed to 384 gastroenterologists and 88 PCPs. In addition to demographic information, the surveys were designed to capture opinions about the safety of PPIs as well as elicit information about how these agents are being used in clinical practice.

Of side effects associated with PPIs, significantly more PCPs than gastroenterologists expressed concern about hypomagnesemia (41.7% vs. 6.3%; P less than .001), iron deficiency (33.3% vs. 11.4%; P = .014) and vitamin B12 deficiency (47.6% vs. 17.3%; P = .005). From the other perspective, when asked about their concern for these and other safety issues, the answer was “none of the above” for 26.2% of PCPs and 67.1% of gastroenterologists (P less than .001).

When given specific risk scenarios, PCPs were consistently more prepared to discontinue PPI therapy than were gastroenterologists. For example, in a hypothetical 65-year-old with GERD symptoms expressing concern about risk of hip fracture, 64.5% of PCPs vs. 30.7% of gastroenterologists (P less than .001) responded that they would discontinue the PPI. In a patient of the same age about to start broad-spectrum antibiotics for cellulitis, 16.1% of PCPs, but only 4.3% of gastroenterologists (P = .001) reported that they would discontinue PPIs. Conversely, 68.5% of gastroenterologists vs. 54.2% of PCPs (P = .028) would continue therapy.

For a hypothetical 65-year-old with symptomatic gastroesophageal reflux disease (GERD) initiating clopidogrel, 50% of PCPs vs. 27.6% of gastroenterologists (P = .001) would switch to an H2-receptor antagonist. Only 27.3% of PCPs vs. 46.4% of gastroenterologists (P = .001) would continue the PPI. When the age of the hypothetical patient is raised to 75 years, PCPs, but not gastroenterologists, were even more likely to discontinue PPI therapy.

Using PPIs appropriately is an important goal, Dr. Kapadia emphasized. However, he suggested that many warnings about the risks of PPIs, including those issued by the Food and Drug Administration, are incompletely substantiated and are not being evaluated with an appropriate attention to benefit-to-risk ratio of a drug that not only controls symptoms but may also reduce risk of GI bleeding. Others share this point of view.

“The pendulum has moved too far in regard to the fear of potential side effects,” agreed Dr. Philip Katz, chairman, division of gastroenterology, Albert Einstein Medical Center, Philadelphia. First author of the 2013 ACG guidelines on GERD, which addresses the safety of PPIs (Am J Gastroenterol. 2013;108:308-28), Dr. Katz said in an interview that the data generated by this survey suggest that PCPs are misinterpreting the relative risks and need to be given more information about indications in which benefits are well established.

Making the same point, Dr. Nicholas J. Shaheen, chief, division of gastroenterology and hepatology, University of North Carolina, Chapel Hill, suggested “This may be a failure on our part [as gastroenterologists] to educate our colleagues about the role of these drugs.”

Dr. Kapadia reported no potential conflicts.

HONOLULU – A survey of almost 500 physicians found that primary care physicians (PCPs) are far more concerned about the reported adverse effects of proton pump inhibitors (PPIs) than are gastroenterologists and use them more sparingly. The results of the survey were presented at the 2015 American College of Gastroenterology (ACG) Annual Scientific Meeting and Postgraduate Course.

“We asked physicians about a broad array of adverse effects from long-term use of PPIs and PCPs expressed greater concern for all of them,” reported Dr. Samir Kapadia, division of gastroenterology and hepatology, State University of New York at Stony Brook. “Alternatively, significantly more gastroenterologists responded that they really had no concerns for any of these adverse effects.”

© nebari/Thinkstock

The evidence may be on the side of the gastroenterologists, according to Dr. Kapadia. Although PPIs have been associated with hypomagnesemia, iron deficiency, vitamin B12 deficiency, diarrhea caused by Clostridium difficile infection, and interactions with the platelet inhibitor clopidogrel, Dr. Kapadia noted that few associations have been made on the basis of prospective trials.

“Much of the available literature is observational or based on studies that are heterogeneous and small,” Dr. Kapadia. “Confounding factors in these studies also limit interpretation.”

In this study for which surveys are still being collected, a 19-item questionnaire was distributed to 384 gastroenterologists and 88 PCPs. In addition to demographic information, the surveys were designed to capture opinions about the safety of PPIs as well as elicit information about how these agents are being used in clinical practice.

Of side effects associated with PPIs, significantly more PCPs than gastroenterologists expressed concern about hypomagnesemia (41.7% vs. 6.3%; P less than .001), iron deficiency (33.3% vs. 11.4%; P = .014) and vitamin B12 deficiency (47.6% vs. 17.3%; P = .005). From the other perspective, when asked about their concern for these and other safety issues, the answer was “none of the above” for 26.2% of PCPs and 67.1% of gastroenterologists (P less than .001).

When given specific risk scenarios, PCPs were consistently more prepared to discontinue PPI therapy than were gastroenterologists. For example, in a hypothetical 65-year-old with GERD symptoms expressing concern about risk of hip fracture, 64.5% of PCPs vs. 30.7% of gastroenterologists (P less than .001) responded that they would discontinue the PPI. In a patient of the same age about to start broad-spectrum antibiotics for cellulitis, 16.1% of PCPs, but only 4.3% of gastroenterologists (P = .001) reported that they would discontinue PPIs. Conversely, 68.5% of gastroenterologists vs. 54.2% of PCPs (P = .028) would continue therapy.

For a hypothetical 65-year-old with symptomatic gastroesophageal reflux disease (GERD) initiating clopidogrel, 50% of PCPs vs. 27.6% of gastroenterologists (P = .001) would switch to an H2-receptor antagonist. Only 27.3% of PCPs vs. 46.4% of gastroenterologists (P = .001) would continue the PPI. When the age of the hypothetical patient is raised to 75 years, PCPs, but not gastroenterologists, were even more likely to discontinue PPI therapy.

Using PPIs appropriately is an important goal, Dr. Kapadia emphasized. However, he suggested that many warnings about the risks of PPIs, including those issued by the Food and Drug Administration, are incompletely substantiated and are not being evaluated with an appropriate attention to benefit-to-risk ratio of a drug that not only controls symptoms but may also reduce risk of GI bleeding. Others share this point of view.

“The pendulum has moved too far in regard to the fear of potential side effects,” agreed Dr. Philip Katz, chairman, division of gastroenterology, Albert Einstein Medical Center, Philadelphia. First author of the 2013 ACG guidelines on GERD, which addresses the safety of PPIs (Am J Gastroenterol. 2013;108:308-28), Dr. Katz said in an interview that the data generated by this survey suggest that PCPs are misinterpreting the relative risks and need to be given more information about indications in which benefits are well established.

Making the same point, Dr. Nicholas J. Shaheen, chief, division of gastroenterology and hepatology, University of North Carolina, Chapel Hill, suggested “This may be a failure on our part [as gastroenterologists] to educate our colleagues about the role of these drugs.”

Dr. Kapadia reported no potential conflicts.

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Key clinical point: Primary care physicians used proton pump inhibitors more sparingly, were more concerned about reported adverse effects than were gastroenterologists, but are perhaps too cautious in the cost-benefit analysis.

Major finding: Primary care physicians (PCPs) are far more concerned about the reported adverse effects of proton pump inhibitors than are gastroenterologists.

Data source: A survey of nearly 500 physicians, weighted toward gastroenterologists.

Disclosures: Dr. Kapadia reported no potential conflicts of interest.