Obesity

Study Overview

Objective. To determine the impact of providing genetically tailored and population-based lifestyle advice for weight management on key constructs of the Theory of Planned Behavior (TPB), a widely accepted theory used to help predict human lifestyle-related behaviors.

Design. Pragmatic, cluster, randomized controlled trial.

Settings and participants. This study took place at the East Elgin Family Health Team, a primary care clinic in Aylmer, Ontario, Canada. Recruitment occurred between April 2017 and September 2018, with staggered intervention cohorts occurring from May 2017 to September 2019. Participants enrolled in a weight management program at the clinic were invited to participate in the study if they met the following inclusion criteria: body mass index (BMI) ≥25 kg/m², >18 years of age, English-speaking, willing to undergo genetic testing, having access to a computer with internet at least 1 day per week, and not seeing another health care provider for weight loss advice outside of the study. Exclusion criteria included pregnancy and lactation. All participants provided written informed consent.

Interventions. At baseline, weight management program cohorts (average cohort size was 14 participants) were randomized (1:1) to receive either the standard population-based intervention (Group Lifestyle Balance, or GLB) or a modified GLB intervention, which included the provision of lifestyle genomics (LGx) information and advice (GLB+LGx). Both interventions aimed to assist participants with weight management and healthy lifestyle change, with particular focus on nutrition and physical activity (PA). Interventions were 12 months long, consisting of 23 group-based sessions and 3 one-on-one sessions with a registered dietitian after 3, 6, and 12 months (all sessions were face-to-face). To improve intervention adherence, participants were given reminder calls for their one-on-one appointments and for the start of their program. A sample size was calculated based on the primary outcome indicating that a total of 74 participants were needed (n = 37 per group) for this trial. By September 2019, this sample size was exceeded with 10 randomized groups (n = 140).

The 5 randomized standard GLB groups followed the established GLB program curriculum comprising population-based information and advice while focusing on following a calorie-controlled, moderate-fat (25% of calories) nutrition plan with at least 150 minutes of weekly moderate-intensity PA. Participants were also provided with a 1-page summary report of their nutrition and PA guidelines at the first group meeting outlining population-based targets, including acceptable macronutrient distribution ranges for protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, sodium, calories, snacking, and PA.

The 5 randomized modified GLB+LGx groups followed a modified GLB program curriculum in which participants were given genetic-based information and advice, which differed from the advice given to the standard GLB group, while focusing on following a calorie-controlled nutrition plan. The nutrition and PA targets were personalized based on their individual genetic variation. For example, participants with the AA variant of FTO (rs9939609) were advised to engage in at least 30 to 60 minutes of PA daily 6 days per week, with muscle-strengthening activities at least 2 days per week, rather than receiving the standard population-based advice to aim for 150 minutes weekly of PA with at least 2 days per week of muscle-strengthening activity. Participants were also provided with a 1-page summary report of their nutrition and PA guidelines at the first group meeting, which outlined genetic-based information and advice related to protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, sodium, calories, snacking, and PA.

Measures and analysis. Change in the TPB components (attitudes, subjective norms and perceived behavioral control) were measured via a TPB questionnaire at 5 time points: baseline (2-week run-in period), immediately after the first group session (where participants received a summary report of either population-based or genetic-based recommendations depending on group assignment), and after 3-, 6- and 12-month follow-ups. Attitudes, subjective norms, and perceived behavioral control were measured on a Likert scale from 1 through 7. Self-reported measures of actual behavioral control (including annual household income, perceptions about events arising in one’s day-to-day life that suddenly take up one’s free time, perceptions about the frequency of feeling ill or tired, and highest achieved level of education) were collected via survey questions and assessed on a Likert scale of 1 through 7. Stage of change was also measured, based on the Transtheoretical Model, using a Likert scale of 1 through 6.

Linear mixed models were used to conduct within- and between-group analyses using SPSS version 26.0, while controlling for measures of actual behavioral control. All analyses were intention-to-treat by originally assigned groups, with mean value imputation conducted for missing data. A Bonferroni correction for multiple testing was used. For all statistical analyses, the level of significance was set at P < 0.05 and trending towards significance at P = 0.05–0.06.

Main results. Participants consisted of primarily middle-age, middle-income, Caucasian females. Baseline attitudes towards the effectiveness of nutrition and PA for weight management were generally positive, and participants perceived that undergoing genetic testing would assist with weight management. Participants had overall neutral subjective norms related to friends and family consuming a healthy diet and engaging in PA, but perceived that their friends, family, and health care team (HCT) believed it was important for them to achieve their nutrition and PA recommendations. Participants overall also perceived that their HCT believed genetic testing could assist with weight management. Baseline measures of perceived behavioral control were overall neutral, with baseline stage of change between “motivation” and “action” (short-term; <3 months).

In within-group analyses, significant improvements (P < 0.05) in attitudes towards the effectiveness of nutrition and PA recommendations for weight management, subjective norms related to both friends and family consuming a healthy diet, and perceived behavioral control in changing PA/dietary intake and managing weight tended to be short-term in the GLB group and long-term for the GLB+LGx group. In all cases of between-group differences for changes in TPB components, the GLB group exhibited reductions in scores, whereas the GLB+LGx group exhibited increases or improvements. Between-group differences (short-term and long-term) in several measures of subjective norms were observed. For example, after 3 months, significant between-group differences were observed in changes in perception that friends believed LGx would help with weight management (P = 0.024). After 12 months, between-group differences trending towards significance were also observed in changes in perception that family members believed genetic testing would help with weight management (P = 0.05). Significant between-group differences and differences trending towards significance were also observed at 12 months for changes in perception that family believed it was important for the participant to achieve the PA recommendations (P = 0.049) and nutrition recommendations (P = 0.05). Between-group differences trending towards significance were also observed at 3 months in attitudes towards the effectiveness of LGx for weight management (P = 0.06). There were no significant between-group differences observed in changes in perceived behavioral control.

Conclusion. Results from this study support the hypothesis that the TPB can help provide a theoretical explanation for why genetically tailored lifestyle information and advice can lead to improvements in lifestyle behavior change.

Commentary

Because health behaviors are critical in areas such as prevention, treatment, and rehabilitation, it is important to describe and understand what drives these behaviors.¹ Theories are important tools in this effort as they aim to explain and predict health behavior and are used in the design and evaluation of interventions.¹ The TPB is one of the most widely accepted behavior change theories and posits that attitudes, subjective norms (or social pressures and behaviors), and perceived behavioral control are significant predictors of an individual’s intention to engage in behaviors.² TPB has been highlighted in the literature as a validated theory for predicting nutrition and PA intentions and resulting behaviors.^3,4

Motivating lifestyle behavior change in clinical practice can be challenging, but some studies have demonstrated how providing genetic information and advice (or lifestyle genomics) can help motivate changes in nutrition and PA among patients.^5-7 Because this has yet to be explained using the TPB, this study is an important contribution to the literature as it aimed to determine the impact of providing genetically tailored and population-based lifestyle advice for weight management on key constructs of the TPB. Briefly, results from within-group analyses in this study demonstrated that the provision of genetically tailored lifestyle information and advice (via the GLB+LGx intervention) tended to impact antecedents of behavior change, more so over the long-term, while population-based advice (via the standard GLB intervention) tended to impact antecedents of behavior change over the short-term (eg, attitudes towards dietary fat intake, perceptions that friends and family consume a healthy diet, and perceptions about the impact of genetic-based advice for weight management). In addition, between-group differences in subjective norms observed at 12 months suggested that social pressures and norms may be influencing long-term changes in lifestyle habits.

While key strengths of this study include its pragmatic cluster randomized controlled trial design, 12-month intervention duration, and intent-to-treat analyses, there are some study limitations, which are acknowledged by the authors. Generalizability is limited to the demographic characteristics of the study population (ie, middle-aged, middle-income, Caucasian females enrolled in a lifestyle change weight management program). Thus, replication of the study is needed in more diverse study populations and with health-related outcomes beyond weight management. In addition, as the authors indicate, future research should ensure the inclusion of theory-based questionnaires in genetic-based intervention studies assessing lifestyle behavior change to elucidate theory-based mechanisms of change.

Applications for Clinical Practice

Population-based research has consistently indicated that nutrition interventions typically impact short-term dietary changes. Confronting the challenge of long-term adherence to nutrition and PA recommendations requires an understanding of factors impacting long-term motivation and behavior change. With increased attention on and research into genetically tailored lifestyle advice (or lifestyle genomics), it is important for clinical practitioners to be familiar with the evidence supporting these approaches. In addition, this research highlights the need to consider individual factors (attitudes, subjective norms, and perceived behavioral control) that may predict successful change in lifestyle habits when providing nutrition and PA recommendations, whether population-based or genetically tailored.

—Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To determine the impact of providing genetically tailored and population-based lifestyle advice for weight management on key constructs of the Theory of Planned Behavior (TPB), a widely accepted theory used to help predict human lifestyle-related behaviors.

Design. Pragmatic, cluster, randomized controlled trial.

Settings and participants. This study took place at the East Elgin Family Health Team, a primary care clinic in Aylmer, Ontario, Canada. Recruitment occurred between April 2017 and September 2018, with staggered intervention cohorts occurring from May 2017 to September 2019. Participants enrolled in a weight management program at the clinic were invited to participate in the study if they met the following inclusion criteria: body mass index (BMI) ≥25 kg/m², >18 years of age, English-speaking, willing to undergo genetic testing, having access to a computer with internet at least 1 day per week, and not seeing another health care provider for weight loss advice outside of the study. Exclusion criteria included pregnancy and lactation. All participants provided written informed consent.

Interventions. At baseline, weight management program cohorts (average cohort size was 14 participants) were randomized (1:1) to receive either the standard population-based intervention (Group Lifestyle Balance, or GLB) or a modified GLB intervention, which included the provision of lifestyle genomics (LGx) information and advice (GLB+LGx). Both interventions aimed to assist participants with weight management and healthy lifestyle change, with particular focus on nutrition and physical activity (PA). Interventions were 12 months long, consisting of 23 group-based sessions and 3 one-on-one sessions with a registered dietitian after 3, 6, and 12 months (all sessions were face-to-face). To improve intervention adherence, participants were given reminder calls for their one-on-one appointments and for the start of their program. A sample size was calculated based on the primary outcome indicating that a total of 74 participants were needed (n = 37 per group) for this trial. By September 2019, this sample size was exceeded with 10 randomized groups (n = 140).

The 5 randomized standard GLB groups followed the established GLB program curriculum comprising population-based information and advice while focusing on following a calorie-controlled, moderate-fat (25% of calories) nutrition plan with at least 150 minutes of weekly moderate-intensity PA. Participants were also provided with a 1-page summary report of their nutrition and PA guidelines at the first group meeting outlining population-based targets, including acceptable macronutrient distribution ranges for protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, sodium, calories, snacking, and PA.

The 5 randomized modified GLB+LGx groups followed a modified GLB program curriculum in which participants were given genetic-based information and advice, which differed from the advice given to the standard GLB group, while focusing on following a calorie-controlled nutrition plan. The nutrition and PA targets were personalized based on their individual genetic variation. For example, participants with the AA variant of FTO (rs9939609) were advised to engage in at least 30 to 60 minutes of PA daily 6 days per week, with muscle-strengthening activities at least 2 days per week, rather than receiving the standard population-based advice to aim for 150 minutes weekly of PA with at least 2 days per week of muscle-strengthening activity. Participants were also provided with a 1-page summary report of their nutrition and PA guidelines at the first group meeting, which outlined genetic-based information and advice related to protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, sodium, calories, snacking, and PA.

Measures and analysis. Change in the TPB components (attitudes, subjective norms and perceived behavioral control) were measured via a TPB questionnaire at 5 time points: baseline (2-week run-in period), immediately after the first group session (where participants received a summary report of either population-based or genetic-based recommendations depending on group assignment), and after 3-, 6- and 12-month follow-ups. Attitudes, subjective norms, and perceived behavioral control were measured on a Likert scale from 1 through 7. Self-reported measures of actual behavioral control (including annual household income, perceptions about events arising in one’s day-to-day life that suddenly take up one’s free time, perceptions about the frequency of feeling ill or tired, and highest achieved level of education) were collected via survey questions and assessed on a Likert scale of 1 through 7. Stage of change was also measured, based on the Transtheoretical Model, using a Likert scale of 1 through 6.

Linear mixed models were used to conduct within- and between-group analyses using SPSS version 26.0, while controlling for measures of actual behavioral control. All analyses were intention-to-treat by originally assigned groups, with mean value imputation conducted for missing data. A Bonferroni correction for multiple testing was used. For all statistical analyses, the level of significance was set at P < 0.05 and trending towards significance at P = 0.05–0.06.

Main results. Participants consisted of primarily middle-age, middle-income, Caucasian females. Baseline attitudes towards the effectiveness of nutrition and PA for weight management were generally positive, and participants perceived that undergoing genetic testing would assist with weight management. Participants had overall neutral subjective norms related to friends and family consuming a healthy diet and engaging in PA, but perceived that their friends, family, and health care team (HCT) believed it was important for them to achieve their nutrition and PA recommendations. Participants overall also perceived that their HCT believed genetic testing could assist with weight management. Baseline measures of perceived behavioral control were overall neutral, with baseline stage of change between “motivation” and “action” (short-term; <3 months).

In within-group analyses, significant improvements (P < 0.05) in attitudes towards the effectiveness of nutrition and PA recommendations for weight management, subjective norms related to both friends and family consuming a healthy diet, and perceived behavioral control in changing PA/dietary intake and managing weight tended to be short-term in the GLB group and long-term for the GLB+LGx group. In all cases of between-group differences for changes in TPB components, the GLB group exhibited reductions in scores, whereas the GLB+LGx group exhibited increases or improvements. Between-group differences (short-term and long-term) in several measures of subjective norms were observed. For example, after 3 months, significant between-group differences were observed in changes in perception that friends believed LGx would help with weight management (P = 0.024). After 12 months, between-group differences trending towards significance were also observed in changes in perception that family members believed genetic testing would help with weight management (P = 0.05). Significant between-group differences and differences trending towards significance were also observed at 12 months for changes in perception that family believed it was important for the participant to achieve the PA recommendations (P = 0.049) and nutrition recommendations (P = 0.05). Between-group differences trending towards significance were also observed at 3 months in attitudes towards the effectiveness of LGx for weight management (P = 0.06). There were no significant between-group differences observed in changes in perceived behavioral control.

Conclusion. Results from this study support the hypothesis that the TPB can help provide a theoretical explanation for why genetically tailored lifestyle information and advice can lead to improvements in lifestyle behavior change.

Commentary

Because health behaviors are critical in areas such as prevention, treatment, and rehabilitation, it is important to describe and understand what drives these behaviors.¹ Theories are important tools in this effort as they aim to explain and predict health behavior and are used in the design and evaluation of interventions.¹ The TPB is one of the most widely accepted behavior change theories and posits that attitudes, subjective norms (or social pressures and behaviors), and perceived behavioral control are significant predictors of an individual’s intention to engage in behaviors.² TPB has been highlighted in the literature as a validated theory for predicting nutrition and PA intentions and resulting behaviors.^3,4

Motivating lifestyle behavior change in clinical practice can be challenging, but some studies have demonstrated how providing genetic information and advice (or lifestyle genomics) can help motivate changes in nutrition and PA among patients.^5-7 Because this has yet to be explained using the TPB, this study is an important contribution to the literature as it aimed to determine the impact of providing genetically tailored and population-based lifestyle advice for weight management on key constructs of the TPB. Briefly, results from within-group analyses in this study demonstrated that the provision of genetically tailored lifestyle information and advice (via the GLB+LGx intervention) tended to impact antecedents of behavior change, more so over the long-term, while population-based advice (via the standard GLB intervention) tended to impact antecedents of behavior change over the short-term (eg, attitudes towards dietary fat intake, perceptions that friends and family consume a healthy diet, and perceptions about the impact of genetic-based advice for weight management). In addition, between-group differences in subjective norms observed at 12 months suggested that social pressures and norms may be influencing long-term changes in lifestyle habits.

While key strengths of this study include its pragmatic cluster randomized controlled trial design, 12-month intervention duration, and intent-to-treat analyses, there are some study limitations, which are acknowledged by the authors. Generalizability is limited to the demographic characteristics of the study population (ie, middle-aged, middle-income, Caucasian females enrolled in a lifestyle change weight management program). Thus, replication of the study is needed in more diverse study populations and with health-related outcomes beyond weight management. In addition, as the authors indicate, future research should ensure the inclusion of theory-based questionnaires in genetic-based intervention studies assessing lifestyle behavior change to elucidate theory-based mechanisms of change.

Applications for Clinical Practice

Population-based research has consistently indicated that nutrition interventions typically impact short-term dietary changes. Confronting the challenge of long-term adherence to nutrition and PA recommendations requires an understanding of factors impacting long-term motivation and behavior change. With increased attention on and research into genetically tailored lifestyle advice (or lifestyle genomics), it is important for clinical practitioners to be familiar with the evidence supporting these approaches. In addition, this research highlights the need to consider individual factors (attitudes, subjective norms, and perceived behavioral control) that may predict successful change in lifestyle habits when providing nutrition and PA recommendations, whether population-based or genetically tailored.

—Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To determine the impact of providing genetically tailored and population-based lifestyle advice for weight management on key constructs of the Theory of Planned Behavior (TPB), a widely accepted theory used to help predict human lifestyle-related behaviors.

Design. Pragmatic, cluster, randomized controlled trial.

Settings and participants. This study took place at the East Elgin Family Health Team, a primary care clinic in Aylmer, Ontario, Canada. Recruitment occurred between April 2017 and September 2018, with staggered intervention cohorts occurring from May 2017 to September 2019. Participants enrolled in a weight management program at the clinic were invited to participate in the study if they met the following inclusion criteria: body mass index (BMI) ≥25 kg/m², >18 years of age, English-speaking, willing to undergo genetic testing, having access to a computer with internet at least 1 day per week, and not seeing another health care provider for weight loss advice outside of the study. Exclusion criteria included pregnancy and lactation. All participants provided written informed consent.

Interventions. At baseline, weight management program cohorts (average cohort size was 14 participants) were randomized (1:1) to receive either the standard population-based intervention (Group Lifestyle Balance, or GLB) or a modified GLB intervention, which included the provision of lifestyle genomics (LGx) information and advice (GLB+LGx). Both interventions aimed to assist participants with weight management and healthy lifestyle change, with particular focus on nutrition and physical activity (PA). Interventions were 12 months long, consisting of 23 group-based sessions and 3 one-on-one sessions with a registered dietitian after 3, 6, and 12 months (all sessions were face-to-face). To improve intervention adherence, participants were given reminder calls for their one-on-one appointments and for the start of their program. A sample size was calculated based on the primary outcome indicating that a total of 74 participants were needed (n = 37 per group) for this trial. By September 2019, this sample size was exceeded with 10 randomized groups (n = 140).

The 5 randomized standard GLB groups followed the established GLB program curriculum comprising population-based information and advice while focusing on following a calorie-controlled, moderate-fat (25% of calories) nutrition plan with at least 150 minutes of weekly moderate-intensity PA. Participants were also provided with a 1-page summary report of their nutrition and PA guidelines at the first group meeting outlining population-based targets, including acceptable macronutrient distribution ranges for protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, sodium, calories, snacking, and PA.

The 5 randomized modified GLB+LGx groups followed a modified GLB program curriculum in which participants were given genetic-based information and advice, which differed from the advice given to the standard GLB group, while focusing on following a calorie-controlled nutrition plan. The nutrition and PA targets were personalized based on their individual genetic variation. For example, participants with the AA variant of FTO (rs9939609) were advised to engage in at least 30 to 60 minutes of PA daily 6 days per week, with muscle-strengthening activities at least 2 days per week, rather than receiving the standard population-based advice to aim for 150 minutes weekly of PA with at least 2 days per week of muscle-strengthening activity. Participants were also provided with a 1-page summary report of their nutrition and PA guidelines at the first group meeting, which outlined genetic-based information and advice related to protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, sodium, calories, snacking, and PA.

Measures and analysis. Change in the TPB components (attitudes, subjective norms and perceived behavioral control) were measured via a TPB questionnaire at 5 time points: baseline (2-week run-in period), immediately after the first group session (where participants received a summary report of either population-based or genetic-based recommendations depending on group assignment), and after 3-, 6- and 12-month follow-ups. Attitudes, subjective norms, and perceived behavioral control were measured on a Likert scale from 1 through 7. Self-reported measures of actual behavioral control (including annual household income, perceptions about events arising in one’s day-to-day life that suddenly take up one’s free time, perceptions about the frequency of feeling ill or tired, and highest achieved level of education) were collected via survey questions and assessed on a Likert scale of 1 through 7. Stage of change was also measured, based on the Transtheoretical Model, using a Likert scale of 1 through 6.

Linear mixed models were used to conduct within- and between-group analyses using SPSS version 26.0, while controlling for measures of actual behavioral control. All analyses were intention-to-treat by originally assigned groups, with mean value imputation conducted for missing data. A Bonferroni correction for multiple testing was used. For all statistical analyses, the level of significance was set at P < 0.05 and trending towards significance at P = 0.05–0.06.

Main results. Participants consisted of primarily middle-age, middle-income, Caucasian females. Baseline attitudes towards the effectiveness of nutrition and PA for weight management were generally positive, and participants perceived that undergoing genetic testing would assist with weight management. Participants had overall neutral subjective norms related to friends and family consuming a healthy diet and engaging in PA, but perceived that their friends, family, and health care team (HCT) believed it was important for them to achieve their nutrition and PA recommendations. Participants overall also perceived that their HCT believed genetic testing could assist with weight management. Baseline measures of perceived behavioral control were overall neutral, with baseline stage of change between “motivation” and “action” (short-term; <3 months).

In within-group analyses, significant improvements (P < 0.05) in attitudes towards the effectiveness of nutrition and PA recommendations for weight management, subjective norms related to both friends and family consuming a healthy diet, and perceived behavioral control in changing PA/dietary intake and managing weight tended to be short-term in the GLB group and long-term for the GLB+LGx group. In all cases of between-group differences for changes in TPB components, the GLB group exhibited reductions in scores, whereas the GLB+LGx group exhibited increases or improvements. Between-group differences (short-term and long-term) in several measures of subjective norms were observed. For example, after 3 months, significant between-group differences were observed in changes in perception that friends believed LGx would help with weight management (P = 0.024). After 12 months, between-group differences trending towards significance were also observed in changes in perception that family members believed genetic testing would help with weight management (P = 0.05). Significant between-group differences and differences trending towards significance were also observed at 12 months for changes in perception that family believed it was important for the participant to achieve the PA recommendations (P = 0.049) and nutrition recommendations (P = 0.05). Between-group differences trending towards significance were also observed at 3 months in attitudes towards the effectiveness of LGx for weight management (P = 0.06). There were no significant between-group differences observed in changes in perceived behavioral control.

Conclusion. Results from this study support the hypothesis that the TPB can help provide a theoretical explanation for why genetically tailored lifestyle information and advice can lead to improvements in lifestyle behavior change.

Commentary

Because health behaviors are critical in areas such as prevention, treatment, and rehabilitation, it is important to describe and understand what drives these behaviors.¹ Theories are important tools in this effort as they aim to explain and predict health behavior and are used in the design and evaluation of interventions.¹ The TPB is one of the most widely accepted behavior change theories and posits that attitudes, subjective norms (or social pressures and behaviors), and perceived behavioral control are significant predictors of an individual’s intention to engage in behaviors.² TPB has been highlighted in the literature as a validated theory for predicting nutrition and PA intentions and resulting behaviors.^3,4

Motivating lifestyle behavior change in clinical practice can be challenging, but some studies have demonstrated how providing genetic information and advice (or lifestyle genomics) can help motivate changes in nutrition and PA among patients.^5-7 Because this has yet to be explained using the TPB, this study is an important contribution to the literature as it aimed to determine the impact of providing genetically tailored and population-based lifestyle advice for weight management on key constructs of the TPB. Briefly, results from within-group analyses in this study demonstrated that the provision of genetically tailored lifestyle information and advice (via the GLB+LGx intervention) tended to impact antecedents of behavior change, more so over the long-term, while population-based advice (via the standard GLB intervention) tended to impact antecedents of behavior change over the short-term (eg, attitudes towards dietary fat intake, perceptions that friends and family consume a healthy diet, and perceptions about the impact of genetic-based advice for weight management). In addition, between-group differences in subjective norms observed at 12 months suggested that social pressures and norms may be influencing long-term changes in lifestyle habits.

While key strengths of this study include its pragmatic cluster randomized controlled trial design, 12-month intervention duration, and intent-to-treat analyses, there are some study limitations, which are acknowledged by the authors. Generalizability is limited to the demographic characteristics of the study population (ie, middle-aged, middle-income, Caucasian females enrolled in a lifestyle change weight management program). Thus, replication of the study is needed in more diverse study populations and with health-related outcomes beyond weight management. In addition, as the authors indicate, future research should ensure the inclusion of theory-based questionnaires in genetic-based intervention studies assessing lifestyle behavior change to elucidate theory-based mechanisms of change.

Applications for Clinical Practice

Population-based research has consistently indicated that nutrition interventions typically impact short-term dietary changes. Confronting the challenge of long-term adherence to nutrition and PA recommendations requires an understanding of factors impacting long-term motivation and behavior change. With increased attention on and research into genetically tailored lifestyle advice (or lifestyle genomics), it is important for clinical practitioners to be familiar with the evidence supporting these approaches. In addition, this research highlights the need to consider individual factors (attitudes, subjective norms, and perceived behavioral control) that may predict successful change in lifestyle habits when providing nutrition and PA recommendations, whether population-based or genetically tailored.

—Katrina F. Mateo, PhD, MPH

Mounting evidence of strikingly high prevalence rates of fatty liver disease, advanced fibrosis, and cirrhosis among patients with type 2 diabetes has led to calls for heightened awareness and screening to identify these patients and target treatments to reduce their risk for irreversible liver damage.

Courtesy Dr. Christos S. Mantzoros

Among these calls is a pending statement from the Endocrine Society, the American Association of Clinical Endocrinologists, the American Gastroenterology Association, and other groups on what the growing appreciation of highly prevalent liver disease in patients with type 2 diabetes (T2D) means for assessing and managing patients. Publication of the statement is expected by spring 2021, said Christos S. Mantzoros, MD, DSc, PhD, chief of endocrinology for the Veterans Affairs Boston Healthcare System and a representative from the Endocrine Society to the statement-writing panel.

This upcoming “Call to Action” from these groups argues for a “need to collaborate across disciplines, and work together on establishing clinical guidelines, and creating new diagnostics and therapeutics,” said Dr. Mantzoros in an interview.

“Over time, it is becoming clearer that management of NAFLD [nonalcoholic fatty liver disease]/NASH [nonalcoholic steatohepatitis] requires a multidisciplinary panel of doctors ranging from primary care practitioners, to endocrinologists, and hepatologists. Given that the nature of the disease crosses scientific discipline boundaries, and that the number of patients is so large (it is estimated that about one in four U.S. adults have NAFLD), not all patients can be treated at the limited number of hepatology centers.

“However, not all stakeholders have fully realized this fact, and no effort had been undertaken so far by any professional society to develop a coordinated approach and clinical care pathway for NAFLD/NASH. The ‘Call to Action’ meeting can be considered as a starting point for such an important effort,” said Dr. Mantzoros, who is also a professor of medicine at Harvard Medical School and director of the human nutrition unit at Beth Israel Deaconess Medical Center, both in Boston.
 

Dramatic prevalence rates in patients with T2D

Results from two independent epidemiology reports, published in December 2020, documented steatosis (the fatty liver of NAFLD) in 70%-74% of unselected U.S. patients with T2D, advanced liver fibrosis accompanying this disease in 6%-15%, and previously unrecognized cirrhosis in 3%-8%.

One of these reports analyzed 825 patients with T2D included in the National Health and Nutritional Examination Survey of 2017-2018 run by the Centers for Disease Control and Prevention. All these patients, selected to be representative of the overall U.S. adult population with T2D, underwent transient elastography to identify steatosis and fibrosis, the first U.S. National Health Survey to run this type of population-based survey. The results showed an overall steatosis prevalence of 74% with grade 3 steatosis in 58%, advanced liver fibrosis in 15%, and cirrhosis in 8%, reported the team of Italian researchers who analyzed the data .

The second study focused on a single-center series of 561 patients with T2D who also underwent screening by transient elastography during 2018-2020 and had no history of NAFLD or other liver disease, or alcohol abuse. The imaging results showed a NAFLD prevalence of 70%, with 54% of the entire group diagnosed with severe steatosis, severe fibrosis in 6%, and cirrhosis in 3%. Among the 54% of patients with severe steatosis, 30% also had severe liver fibrosis. About 70% of the 561 patients assessed came from either the family medicine or general internal medicine clinics of the University of Florida, Gainesville, with the remaining 30% enrolled from the center’s endocrinology/diabetes outpatient clinic.

Neither report documented a NASH prevalence, which cannot receive definitive diagnosis by imaging alone. “This is the first study of its kind in the U.S. to establish the magnitude of [liver] disease burden in random patients with T2D seeking regular outpatient care,” wrote the University of Florida research team, led by Kenneth Cusi, MD, professor and chief of the university’s division of endocrinology, diabetes, and metabolism. Their finding that patients with T2D and previously unknown to have NAFLD had a 15% prevalence of moderate or advanced liver fibrosis “should trigger a call to action by all clinicians taking care of patients with T2D. Patient and physician awareness of the hepatic and extrahepatic complications of NASH, and reversing current diagnosis and treatment inertia will be the only way to avert the looming epidemic of cirrhosis in patients with diabetes.”

“Endocrinologists don’t ‘see’ NAFLD and NASH” in their patients with T2D “ because they don’t think about it,” Dr. Mantzoros declared.

Doug Brunk/Frontline Medical News

“Why is NASH underdiagnosed and undertreated? Because many physicians aren’t aware of it,” agreed Dr. Cusi during a talk in December 2020 at the 18th World Congress on Insulin Resistance, Diabetes, and Cardiovascular Disease (WCIRDC). “You never find what you don’t look for.”

“Endocrinologists should do the tests for NASH [in patients with T2D], but we’re all guilty of not doing it enough,” Tracey McLaughlin, MD, an endocrinologist and professor of medicine at Stanford (Calif.) University, commented during the WCIRDC.

These prevalence numbers demand that clinicians suspect liver disease “in any patient with diabetes, especially patients with obesity who are older and have components of metabolic syndrome,” said Dr. Mantzoros. “We need to screen, refer the most advanced cases, and treat the early- and mid-stage cases.”
 

How to find NASH

Both the American Diabetes Association and the European Association for the Study of Diabetes call for routine screening of patients with T2D, starting with a check of liver enzymes, such as ALT, but no clear consensus exists for the specifics of screening beyond that. Dr. Mantzoros, Dr. Cusi, and other experts agree that the scheme for assessing liver disease in patients with T2D starts with regular monitoring of elevations in liver enzymes including ALT. Next is noninvasive ultrasound assessment of the extent of liver fibrosis inferred from the organ’s stiffness using transient elastography. Another frequently cited initial screening tool is the Fibrosis-4 (FIB-4) score, which incorporates a patient’s age, platelet count, and levels of ALT and a second liver enzyme, AST.

“There is more consensus about FIB-4 and then elastography, but some people use tests other than FIB-4. Unfortunately there is no perfect diagnostic test today. A top priority is to define the best diagnostic test,” said Dr. Mantzoros, who is leading an effort to try to refine screening using artificial intelligence.

“FIB-4 is simple, easy, and well validated,” commented Dr. Cusi during the WCIRDC last December. “FIB-4 and elastography should get you pretty close” to identifying patients with T2D and significant liver disease.

But in a recent editorial, Dr. Cusi agreed on the need for “more reliable tests for the diagnosis of NASH and advanced fibrosis in patients with T2D. Significant work is being done in the field to validate novel and more sophisticated fibrosis biomarkers. Future studies will help us enter a new era of precision medicine where biomarkers will identify and target therapy to those with more active disease at risk for cirrhosis,” he wrote.

“The ultimate goal is to diagnose fibrosis at an early stage to prevent people from developing cirrhosis,” Dr. Cusi said in a recent written statement. “We’re trying to identify these problems before they’re unfixable. Once someone has cirrhosis, there isn’t a whole lot you can do.”
 

Pioglitazone remains the best-documented treatment

Perhaps some of the inertia in diagnosing NAFLD, NASH, and liver fibrosis in patients with T2D is dissatisfaction with current treatment options, although several proven options exist, notably weight loss and diet, and thiazolidinedione (TZD) pioglitazone. But weight loss and diet pose issues for patient compliance and durability of the intervention, and many clinicians consider pioglitazone flawed by its potential adverse effects.

“When we don’t have an established treatment for something, we tend to not measure it or go after it. That’s been true of liver disease” in patients with T2D, said Yehuda Handelsman, MD, an endocrinologist and diabetes specialist who is medical director of the Metabolic Institute of America in Tarzana, Calif., during the WCIRDC.

Treatment with pioglitazone has resolved NASH in about a third of patients compared with placebo, prevented fibrosis progression, and cut cardiovascular disease events, noted Dr. Cusi during the WCIRDC.

“Pioglitazone is used in only 8% of patients with T2D, or less, but we need to use it more often because of its proven efficacy in patients with T2D and NASH” said Dr. Mantzoros. “The problem is that pioglitazone has side effects, including weight gain and fluid retention, that makes it less attractive unless one thinks about the diagnosis of NASH.”

Others highlight that the adverse effects of pioglitazone have been either misunderstood, or can be effectively minimized with careful dosing.

“The data with the TZDs are much stronger than the data from anything else. TZDs have gotten a bad name because they also work in the kidney and enhance fluid reabsorption. We use modest dosages of pioglitazone, 15 mg or 30 mg a day, to avoid excess fluid retention,” Ralph A. DeFronzo, MD, chief of the diabetes division and professor of medicine at the University of Texas Health Science Center, San Antonio, said during the WCIRDC. “The best drug for NASH is pioglitazone. No other drug beats it” based on current data, Dr. DeFronzo asserted.

Other strategies include the potential to pair pioglitazone with other interventions that can blunt a weight-gain effect. One intriguing combination would combine pioglitazone with a GLP-1 receptor agonist, a drug class that can produce significant weight loss. Results from a phase 2 study showed promise for semaglutide (Rybelsus) in treating patients with NASH.
 

Getting the name right

Another factor that may be keeping NAFLD and NASH from achieving a higher profile for patients with T2D are those names, which focus on what the diseases are not – nonalcoholic – rather than what they are.

A series of recent publications in both the endocrinology and hepatology literature have called for renaming these disorders either “metabolic (dysfunction)–associated fatty liver disease (MALFD)”, or “dysmetabolism-associated fatty liver disease (DALFD)”.

“The names NAFLD and NASH indicate absence of alcohol as a cause, but the disease is also characterized by the absence of other causes, such as autoimmune disorders or hepatitis. The names were coined when we did not know much about these diseases. We now know that it is dysmetabolism that causes these conditions, and so we need to adopt a new, more accurate name,” explained Dr. Mantzoros, who has published support for a name change.

While many agree, some have raised concerns as to whether a name change now is premature. A group of hepatologists recently published a rebuttal to an immediate name change , saying that, “although we are in agreement that metabolic fatty liver disease may more accurately and positively reflect the relevant risk factors better than the age-old term nonalcoholic fatty liver disease, the term still leaves a great deal of ambiguity. A name change will be appropriate when informed by a new understanding of the molecular basis of the disease entity, insights that fundamentally change risk stratification, or other important aspects of the disease. We may be on the cusp of this, but we are not there yet.”

Dr. Mantzoros agreed, but for somewhat different reasons.

“We need to be careful and deliberate, because there is a significant body of knowledge and a lot of data from clinical trials collected using the old definitions. We need to find an appropriate time frame for a [name] transition. We need to find a nice and robust way to productively bridge the old to the new,” he said. “We also need new diagnostic criteria, and new therapies. A new name and definition will facilitate progress.”

Dr. Mantzoros been a shareholder of and consultant to Coherus and Pangea, he has been a consultant to AstraZeneca, Eisai, Genfit, Intercept, Novo Nordisk, P.E.S., and Regeneron, and has received travel support from the Metabolic Institute of America and the California Walnut Commission. Dr. Cusi has been a consultant to and has received research funding from numerous drug companies. Dr. McLaughlin is a consultant to January AI. Dr. Handelsman has been a consultant to numerous drug companies. Dr. DeFronzo received research grants from AstraZeneca, Janssen, and Merck; he has been an adviser to AstraZeneca, Boehringer Ingelheim, Intarcia, Janssen, and Novo Nordisk; and he has been a speaker on behalf of AstraZeneca and Novo Nordisk.

mzoler@mdedge.com

Mounting evidence of strikingly high prevalence rates of fatty liver disease, advanced fibrosis, and cirrhosis among patients with type 2 diabetes has led to calls for heightened awareness and screening to identify these patients and target treatments to reduce their risk for irreversible liver damage.

Courtesy Dr. Christos S. Mantzoros

Among these calls is a pending statement from the Endocrine Society, the American Association of Clinical Endocrinologists, the American Gastroenterology Association, and other groups on what the growing appreciation of highly prevalent liver disease in patients with type 2 diabetes (T2D) means for assessing and managing patients. Publication of the statement is expected by spring 2021, said Christos S. Mantzoros, MD, DSc, PhD, chief of endocrinology for the Veterans Affairs Boston Healthcare System and a representative from the Endocrine Society to the statement-writing panel.

This upcoming “Call to Action” from these groups argues for a “need to collaborate across disciplines, and work together on establishing clinical guidelines, and creating new diagnostics and therapeutics,” said Dr. Mantzoros in an interview.

“Over time, it is becoming clearer that management of NAFLD [nonalcoholic fatty liver disease]/NASH [nonalcoholic steatohepatitis] requires a multidisciplinary panel of doctors ranging from primary care practitioners, to endocrinologists, and hepatologists. Given that the nature of the disease crosses scientific discipline boundaries, and that the number of patients is so large (it is estimated that about one in four U.S. adults have NAFLD), not all patients can be treated at the limited number of hepatology centers.

“However, not all stakeholders have fully realized this fact, and no effort had been undertaken so far by any professional society to develop a coordinated approach and clinical care pathway for NAFLD/NASH. The ‘Call to Action’ meeting can be considered as a starting point for such an important effort,” said Dr. Mantzoros, who is also a professor of medicine at Harvard Medical School and director of the human nutrition unit at Beth Israel Deaconess Medical Center, both in Boston.
 

Dramatic prevalence rates in patients with T2D

Results from two independent epidemiology reports, published in December 2020, documented steatosis (the fatty liver of NAFLD) in 70%-74% of unselected U.S. patients with T2D, advanced liver fibrosis accompanying this disease in 6%-15%, and previously unrecognized cirrhosis in 3%-8%.

One of these reports analyzed 825 patients with T2D included in the National Health and Nutritional Examination Survey of 2017-2018 run by the Centers for Disease Control and Prevention. All these patients, selected to be representative of the overall U.S. adult population with T2D, underwent transient elastography to identify steatosis and fibrosis, the first U.S. National Health Survey to run this type of population-based survey. The results showed an overall steatosis prevalence of 74% with grade 3 steatosis in 58%, advanced liver fibrosis in 15%, and cirrhosis in 8%, reported the team of Italian researchers who analyzed the data .

The second study focused on a single-center series of 561 patients with T2D who also underwent screening by transient elastography during 2018-2020 and had no history of NAFLD or other liver disease, or alcohol abuse. The imaging results showed a NAFLD prevalence of 70%, with 54% of the entire group diagnosed with severe steatosis, severe fibrosis in 6%, and cirrhosis in 3%. Among the 54% of patients with severe steatosis, 30% also had severe liver fibrosis. About 70% of the 561 patients assessed came from either the family medicine or general internal medicine clinics of the University of Florida, Gainesville, with the remaining 30% enrolled from the center’s endocrinology/diabetes outpatient clinic.

Neither report documented a NASH prevalence, which cannot receive definitive diagnosis by imaging alone. “This is the first study of its kind in the U.S. to establish the magnitude of [liver] disease burden in random patients with T2D seeking regular outpatient care,” wrote the University of Florida research team, led by Kenneth Cusi, MD, professor and chief of the university’s division of endocrinology, diabetes, and metabolism. Their finding that patients with T2D and previously unknown to have NAFLD had a 15% prevalence of moderate or advanced liver fibrosis “should trigger a call to action by all clinicians taking care of patients with T2D. Patient and physician awareness of the hepatic and extrahepatic complications of NASH, and reversing current diagnosis and treatment inertia will be the only way to avert the looming epidemic of cirrhosis in patients with diabetes.”

“Endocrinologists don’t ‘see’ NAFLD and NASH” in their patients with T2D “ because they don’t think about it,” Dr. Mantzoros declared.

Doug Brunk/Frontline Medical News

“Why is NASH underdiagnosed and undertreated? Because many physicians aren’t aware of it,” agreed Dr. Cusi during a talk in December 2020 at the 18th World Congress on Insulin Resistance, Diabetes, and Cardiovascular Disease (WCIRDC). “You never find what you don’t look for.”

“Endocrinologists should do the tests for NASH [in patients with T2D], but we’re all guilty of not doing it enough,” Tracey McLaughlin, MD, an endocrinologist and professor of medicine at Stanford (Calif.) University, commented during the WCIRDC.

These prevalence numbers demand that clinicians suspect liver disease “in any patient with diabetes, especially patients with obesity who are older and have components of metabolic syndrome,” said Dr. Mantzoros. “We need to screen, refer the most advanced cases, and treat the early- and mid-stage cases.”
 

How to find NASH

Both the American Diabetes Association and the European Association for the Study of Diabetes call for routine screening of patients with T2D, starting with a check of liver enzymes, such as ALT, but no clear consensus exists for the specifics of screening beyond that. Dr. Mantzoros, Dr. Cusi, and other experts agree that the scheme for assessing liver disease in patients with T2D starts with regular monitoring of elevations in liver enzymes including ALT. Next is noninvasive ultrasound assessment of the extent of liver fibrosis inferred from the organ’s stiffness using transient elastography. Another frequently cited initial screening tool is the Fibrosis-4 (FIB-4) score, which incorporates a patient’s age, platelet count, and levels of ALT and a second liver enzyme, AST.

“There is more consensus about FIB-4 and then elastography, but some people use tests other than FIB-4. Unfortunately there is no perfect diagnostic test today. A top priority is to define the best diagnostic test,” said Dr. Mantzoros, who is leading an effort to try to refine screening using artificial intelligence.

“FIB-4 is simple, easy, and well validated,” commented Dr. Cusi during the WCIRDC last December. “FIB-4 and elastography should get you pretty close” to identifying patients with T2D and significant liver disease.

But in a recent editorial, Dr. Cusi agreed on the need for “more reliable tests for the diagnosis of NASH and advanced fibrosis in patients with T2D. Significant work is being done in the field to validate novel and more sophisticated fibrosis biomarkers. Future studies will help us enter a new era of precision medicine where biomarkers will identify and target therapy to those with more active disease at risk for cirrhosis,” he wrote.

“The ultimate goal is to diagnose fibrosis at an early stage to prevent people from developing cirrhosis,” Dr. Cusi said in a recent written statement. “We’re trying to identify these problems before they’re unfixable. Once someone has cirrhosis, there isn’t a whole lot you can do.”
 

Pioglitazone remains the best-documented treatment

Perhaps some of the inertia in diagnosing NAFLD, NASH, and liver fibrosis in patients with T2D is dissatisfaction with current treatment options, although several proven options exist, notably weight loss and diet, and thiazolidinedione (TZD) pioglitazone. But weight loss and diet pose issues for patient compliance and durability of the intervention, and many clinicians consider pioglitazone flawed by its potential adverse effects.

“When we don’t have an established treatment for something, we tend to not measure it or go after it. That’s been true of liver disease” in patients with T2D, said Yehuda Handelsman, MD, an endocrinologist and diabetes specialist who is medical director of the Metabolic Institute of America in Tarzana, Calif., during the WCIRDC.

Treatment with pioglitazone has resolved NASH in about a third of patients compared with placebo, prevented fibrosis progression, and cut cardiovascular disease events, noted Dr. Cusi during the WCIRDC.

“Pioglitazone is used in only 8% of patients with T2D, or less, but we need to use it more often because of its proven efficacy in patients with T2D and NASH” said Dr. Mantzoros. “The problem is that pioglitazone has side effects, including weight gain and fluid retention, that makes it less attractive unless one thinks about the diagnosis of NASH.”

Others highlight that the adverse effects of pioglitazone have been either misunderstood, or can be effectively minimized with careful dosing.

“The data with the TZDs are much stronger than the data from anything else. TZDs have gotten a bad name because they also work in the kidney and enhance fluid reabsorption. We use modest dosages of pioglitazone, 15 mg or 30 mg a day, to avoid excess fluid retention,” Ralph A. DeFronzo, MD, chief of the diabetes division and professor of medicine at the University of Texas Health Science Center, San Antonio, said during the WCIRDC. “The best drug for NASH is pioglitazone. No other drug beats it” based on current data, Dr. DeFronzo asserted.

Other strategies include the potential to pair pioglitazone with other interventions that can blunt a weight-gain effect. One intriguing combination would combine pioglitazone with a GLP-1 receptor agonist, a drug class that can produce significant weight loss. Results from a phase 2 study showed promise for semaglutide (Rybelsus) in treating patients with NASH.
 

Getting the name right

Another factor that may be keeping NAFLD and NASH from achieving a higher profile for patients with T2D are those names, which focus on what the diseases are not – nonalcoholic – rather than what they are.

A series of recent publications in both the endocrinology and hepatology literature have called for renaming these disorders either “metabolic (dysfunction)–associated fatty liver disease (MALFD)”, or “dysmetabolism-associated fatty liver disease (DALFD)”.

“The names NAFLD and NASH indicate absence of alcohol as a cause, but the disease is also characterized by the absence of other causes, such as autoimmune disorders or hepatitis. The names were coined when we did not know much about these diseases. We now know that it is dysmetabolism that causes these conditions, and so we need to adopt a new, more accurate name,” explained Dr. Mantzoros, who has published support for a name change.

While many agree, some have raised concerns as to whether a name change now is premature. A group of hepatologists recently published a rebuttal to an immediate name change , saying that, “although we are in agreement that metabolic fatty liver disease may more accurately and positively reflect the relevant risk factors better than the age-old term nonalcoholic fatty liver disease, the term still leaves a great deal of ambiguity. A name change will be appropriate when informed by a new understanding of the molecular basis of the disease entity, insights that fundamentally change risk stratification, or other important aspects of the disease. We may be on the cusp of this, but we are not there yet.”

Dr. Mantzoros agreed, but for somewhat different reasons.

“We need to be careful and deliberate, because there is a significant body of knowledge and a lot of data from clinical trials collected using the old definitions. We need to find an appropriate time frame for a [name] transition. We need to find a nice and robust way to productively bridge the old to the new,” he said. “We also need new diagnostic criteria, and new therapies. A new name and definition will facilitate progress.”

Dr. Mantzoros been a shareholder of and consultant to Coherus and Pangea, he has been a consultant to AstraZeneca, Eisai, Genfit, Intercept, Novo Nordisk, P.E.S., and Regeneron, and has received travel support from the Metabolic Institute of America and the California Walnut Commission. Dr. Cusi has been a consultant to and has received research funding from numerous drug companies. Dr. McLaughlin is a consultant to January AI. Dr. Handelsman has been a consultant to numerous drug companies. Dr. DeFronzo received research grants from AstraZeneca, Janssen, and Merck; he has been an adviser to AstraZeneca, Boehringer Ingelheim, Intarcia, Janssen, and Novo Nordisk; and he has been a speaker on behalf of AstraZeneca and Novo Nordisk.

mzoler@mdedge.com

Mounting evidence of strikingly high prevalence rates of fatty liver disease, advanced fibrosis, and cirrhosis among patients with type 2 diabetes has led to calls for heightened awareness and screening to identify these patients and target treatments to reduce their risk for irreversible liver damage.

Courtesy Dr. Christos S. Mantzoros

Among these calls is a pending statement from the Endocrine Society, the American Association of Clinical Endocrinologists, the American Gastroenterology Association, and other groups on what the growing appreciation of highly prevalent liver disease in patients with type 2 diabetes (T2D) means for assessing and managing patients. Publication of the statement is expected by spring 2021, said Christos S. Mantzoros, MD, DSc, PhD, chief of endocrinology for the Veterans Affairs Boston Healthcare System and a representative from the Endocrine Society to the statement-writing panel.

This upcoming “Call to Action” from these groups argues for a “need to collaborate across disciplines, and work together on establishing clinical guidelines, and creating new diagnostics and therapeutics,” said Dr. Mantzoros in an interview.

“Over time, it is becoming clearer that management of NAFLD [nonalcoholic fatty liver disease]/NASH [nonalcoholic steatohepatitis] requires a multidisciplinary panel of doctors ranging from primary care practitioners, to endocrinologists, and hepatologists. Given that the nature of the disease crosses scientific discipline boundaries, and that the number of patients is so large (it is estimated that about one in four U.S. adults have NAFLD), not all patients can be treated at the limited number of hepatology centers.

“However, not all stakeholders have fully realized this fact, and no effort had been undertaken so far by any professional society to develop a coordinated approach and clinical care pathway for NAFLD/NASH. The ‘Call to Action’ meeting can be considered as a starting point for such an important effort,” said Dr. Mantzoros, who is also a professor of medicine at Harvard Medical School and director of the human nutrition unit at Beth Israel Deaconess Medical Center, both in Boston.
 

Dramatic prevalence rates in patients with T2D

Results from two independent epidemiology reports, published in December 2020, documented steatosis (the fatty liver of NAFLD) in 70%-74% of unselected U.S. patients with T2D, advanced liver fibrosis accompanying this disease in 6%-15%, and previously unrecognized cirrhosis in 3%-8%.

One of these reports analyzed 825 patients with T2D included in the National Health and Nutritional Examination Survey of 2017-2018 run by the Centers for Disease Control and Prevention. All these patients, selected to be representative of the overall U.S. adult population with T2D, underwent transient elastography to identify steatosis and fibrosis, the first U.S. National Health Survey to run this type of population-based survey. The results showed an overall steatosis prevalence of 74% with grade 3 steatosis in 58%, advanced liver fibrosis in 15%, and cirrhosis in 8%, reported the team of Italian researchers who analyzed the data .

The second study focused on a single-center series of 561 patients with T2D who also underwent screening by transient elastography during 2018-2020 and had no history of NAFLD or other liver disease, or alcohol abuse. The imaging results showed a NAFLD prevalence of 70%, with 54% of the entire group diagnosed with severe steatosis, severe fibrosis in 6%, and cirrhosis in 3%. Among the 54% of patients with severe steatosis, 30% also had severe liver fibrosis. About 70% of the 561 patients assessed came from either the family medicine or general internal medicine clinics of the University of Florida, Gainesville, with the remaining 30% enrolled from the center’s endocrinology/diabetes outpatient clinic.

Neither report documented a NASH prevalence, which cannot receive definitive diagnosis by imaging alone. “This is the first study of its kind in the U.S. to establish the magnitude of [liver] disease burden in random patients with T2D seeking regular outpatient care,” wrote the University of Florida research team, led by Kenneth Cusi, MD, professor and chief of the university’s division of endocrinology, diabetes, and metabolism. Their finding that patients with T2D and previously unknown to have NAFLD had a 15% prevalence of moderate or advanced liver fibrosis “should trigger a call to action by all clinicians taking care of patients with T2D. Patient and physician awareness of the hepatic and extrahepatic complications of NASH, and reversing current diagnosis and treatment inertia will be the only way to avert the looming epidemic of cirrhosis in patients with diabetes.”

“Endocrinologists don’t ‘see’ NAFLD and NASH” in their patients with T2D “ because they don’t think about it,” Dr. Mantzoros declared.

Doug Brunk/Frontline Medical News

“Why is NASH underdiagnosed and undertreated? Because many physicians aren’t aware of it,” agreed Dr. Cusi during a talk in December 2020 at the 18th World Congress on Insulin Resistance, Diabetes, and Cardiovascular Disease (WCIRDC). “You never find what you don’t look for.”

“Endocrinologists should do the tests for NASH [in patients with T2D], but we’re all guilty of not doing it enough,” Tracey McLaughlin, MD, an endocrinologist and professor of medicine at Stanford (Calif.) University, commented during the WCIRDC.

These prevalence numbers demand that clinicians suspect liver disease “in any patient with diabetes, especially patients with obesity who are older and have components of metabolic syndrome,” said Dr. Mantzoros. “We need to screen, refer the most advanced cases, and treat the early- and mid-stage cases.”
 

How to find NASH

Both the American Diabetes Association and the European Association for the Study of Diabetes call for routine screening of patients with T2D, starting with a check of liver enzymes, such as ALT, but no clear consensus exists for the specifics of screening beyond that. Dr. Mantzoros, Dr. Cusi, and other experts agree that the scheme for assessing liver disease in patients with T2D starts with regular monitoring of elevations in liver enzymes including ALT. Next is noninvasive ultrasound assessment of the extent of liver fibrosis inferred from the organ’s stiffness using transient elastography. Another frequently cited initial screening tool is the Fibrosis-4 (FIB-4) score, which incorporates a patient’s age, platelet count, and levels of ALT and a second liver enzyme, AST.

“There is more consensus about FIB-4 and then elastography, but some people use tests other than FIB-4. Unfortunately there is no perfect diagnostic test today. A top priority is to define the best diagnostic test,” said Dr. Mantzoros, who is leading an effort to try to refine screening using artificial intelligence.

“FIB-4 is simple, easy, and well validated,” commented Dr. Cusi during the WCIRDC last December. “FIB-4 and elastography should get you pretty close” to identifying patients with T2D and significant liver disease.

But in a recent editorial, Dr. Cusi agreed on the need for “more reliable tests for the diagnosis of NASH and advanced fibrosis in patients with T2D. Significant work is being done in the field to validate novel and more sophisticated fibrosis biomarkers. Future studies will help us enter a new era of precision medicine where biomarkers will identify and target therapy to those with more active disease at risk for cirrhosis,” he wrote.

“The ultimate goal is to diagnose fibrosis at an early stage to prevent people from developing cirrhosis,” Dr. Cusi said in a recent written statement. “We’re trying to identify these problems before they’re unfixable. Once someone has cirrhosis, there isn’t a whole lot you can do.”
 

Pioglitazone remains the best-documented treatment

Perhaps some of the inertia in diagnosing NAFLD, NASH, and liver fibrosis in patients with T2D is dissatisfaction with current treatment options, although several proven options exist, notably weight loss and diet, and thiazolidinedione (TZD) pioglitazone. But weight loss and diet pose issues for patient compliance and durability of the intervention, and many clinicians consider pioglitazone flawed by its potential adverse effects.

“When we don’t have an established treatment for something, we tend to not measure it or go after it. That’s been true of liver disease” in patients with T2D, said Yehuda Handelsman, MD, an endocrinologist and diabetes specialist who is medical director of the Metabolic Institute of America in Tarzana, Calif., during the WCIRDC.

Treatment with pioglitazone has resolved NASH in about a third of patients compared with placebo, prevented fibrosis progression, and cut cardiovascular disease events, noted Dr. Cusi during the WCIRDC.

“Pioglitazone is used in only 8% of patients with T2D, or less, but we need to use it more often because of its proven efficacy in patients with T2D and NASH” said Dr. Mantzoros. “The problem is that pioglitazone has side effects, including weight gain and fluid retention, that makes it less attractive unless one thinks about the diagnosis of NASH.”

Others highlight that the adverse effects of pioglitazone have been either misunderstood, or can be effectively minimized with careful dosing.

“The data with the TZDs are much stronger than the data from anything else. TZDs have gotten a bad name because they also work in the kidney and enhance fluid reabsorption. We use modest dosages of pioglitazone, 15 mg or 30 mg a day, to avoid excess fluid retention,” Ralph A. DeFronzo, MD, chief of the diabetes division and professor of medicine at the University of Texas Health Science Center, San Antonio, said during the WCIRDC. “The best drug for NASH is pioglitazone. No other drug beats it” based on current data, Dr. DeFronzo asserted.

Other strategies include the potential to pair pioglitazone with other interventions that can blunt a weight-gain effect. One intriguing combination would combine pioglitazone with a GLP-1 receptor agonist, a drug class that can produce significant weight loss. Results from a phase 2 study showed promise for semaglutide (Rybelsus) in treating patients with NASH.
 

Getting the name right

Another factor that may be keeping NAFLD and NASH from achieving a higher profile for patients with T2D are those names, which focus on what the diseases are not – nonalcoholic – rather than what they are.

A series of recent publications in both the endocrinology and hepatology literature have called for renaming these disorders either “metabolic (dysfunction)–associated fatty liver disease (MALFD)”, or “dysmetabolism-associated fatty liver disease (DALFD)”.

“The names NAFLD and NASH indicate absence of alcohol as a cause, but the disease is also characterized by the absence of other causes, such as autoimmune disorders or hepatitis. The names were coined when we did not know much about these diseases. We now know that it is dysmetabolism that causes these conditions, and so we need to adopt a new, more accurate name,” explained Dr. Mantzoros, who has published support for a name change.

While many agree, some have raised concerns as to whether a name change now is premature. A group of hepatologists recently published a rebuttal to an immediate name change , saying that, “although we are in agreement that metabolic fatty liver disease may more accurately and positively reflect the relevant risk factors better than the age-old term nonalcoholic fatty liver disease, the term still leaves a great deal of ambiguity. A name change will be appropriate when informed by a new understanding of the molecular basis of the disease entity, insights that fundamentally change risk stratification, or other important aspects of the disease. We may be on the cusp of this, but we are not there yet.”

Dr. Mantzoros agreed, but for somewhat different reasons.

“We need to be careful and deliberate, because there is a significant body of knowledge and a lot of data from clinical trials collected using the old definitions. We need to find an appropriate time frame for a [name] transition. We need to find a nice and robust way to productively bridge the old to the new,” he said. “We also need new diagnostic criteria, and new therapies. A new name and definition will facilitate progress.”

Dr. Mantzoros been a shareholder of and consultant to Coherus and Pangea, he has been a consultant to AstraZeneca, Eisai, Genfit, Intercept, Novo Nordisk, P.E.S., and Regeneron, and has received travel support from the Metabolic Institute of America and the California Walnut Commission. Dr. Cusi has been a consultant to and has received research funding from numerous drug companies. Dr. McLaughlin is a consultant to January AI. Dr. Handelsman has been a consultant to numerous drug companies. Dr. DeFronzo received research grants from AstraZeneca, Janssen, and Merck; he has been an adviser to AstraZeneca, Boehringer Ingelheim, Intarcia, Janssen, and Novo Nordisk; and he has been a speaker on behalf of AstraZeneca and Novo Nordisk.

mzoler@mdedge.com

ILLUSTRATIVE CASE

A 57-year-old man who was given a diagnosis of T2D a year ago presents for an office visit. His hemoglobin A1C level at diagnosis was 8.3%. He is otherwise healthy and has been adhering well to a plan of metformin 1000 mg twice daily, regular exercise, and a low-­carbohydrate diet you recommended. His most recent hemoglobin A1C is 7.3%. He is pleased with his progress, so he is discouraged when you tell him that he is not yet at goal. He asks if there are other things that he can do to further lower his hemoglobin A1C. What can you recommend for him?

According to the National Diabetes Statistics Report, 2020 from the Centers for Disease Control and Prevention, approximately 34.1 million US adults ≥ 18 years of age (13% of the adult population) have diabetes, 50% of whom have a hemoglobin A1C > 7%. The report also states that approximately 88 million US adults—more than one-third of the population—have prediabetes.²

The American Diabetes Association (ADA) estimated that diabetes-related health care costs in the United States for 2017 totaled $237 billion, an increase of 26% from 2012. More than $30 billion of this expense comes directly from diabetes medications; the remainder of these costs are related to lost wages, clinic visits, hospitalizations, and treatment for diabetic complications and comorbidities. After controlling for age and gender, medical expenditures for people with diabetes are 2.3 times higher than for those without diabetes.³

The 2019 ADA Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report makes general recommendations concerning fiber intake for patients with diabetes or prediabetes, stating that these patients should consume approximately 14 g of fiber for every 1000 kcal consumed, giving preference to whole-food sources rather than supplements.⁴ The report indicates that some studies have shown hemoglobin A1C reductions of 0.2% to 0.3% with daily fiber intake exceeding 50 g. However, this level of intake can cause unpleasant gastrointestinal adverse effects, including bloating, diarrhea, and flatulence.^4,5

STUDY SUMMARY

Effect on A1C exceeded the FDA threshold for new drugs

This systematic review and meta-analysis searched MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials to identify randomized controlled trials that studied the effects of viscous fiber supplementation on glycemic control in patients with T2D. Eligible studies included those that: (1) had a duration ≥ 3 weeks; (2) allowed isolation of the viscous fiber effects; and (3) reported at least 1 of the following glycemic measures: hemoglobin A1C (n = 1148 patients), fasting glucose (n = 1394), fasting insulin (n = 228), homeostatic model assessment of insulin resistance (HOMA-IR; n = 652), and fructosamine (n = 23).

As an adjunct to standard of care, viscous fiber supplements significantly improved hemoglobin A1C and other glycemic markers in patients with T2D.

Data were pooled using the generic inverse variance method and expressed as mean difference (MD) with 95% confidence intervals (CIs). Heterogeneity was assessed and quantified (Cochran Q and I² statistics, respectively). I² ≥ 50% indicates substantial heterogeneity. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was used to evaluate the overall strength of evidence.

Twenty-eight eligible studies were compared. The median age of included patients was 60 years. The median dose of viscous fiber was 13.1 g/d (range, 2.55-21). Viscous fiber type varied between the studies and included psyllium, guar gum, β-glucan, and konjac, and was consumed in powder, tablet, capsule, and limited food-based forms (in 1 of the included studies). The median trial duration was 8 weeks, with 11 trials lasting ≥ 12 weeks.

Continue to: The study found...

The study found moderate-grade evidence that, when added to standard of care, viscous fiber supplementation reduced hemoglobin A1C (MD = –0.58%; 95% CI, –0.88 to –0.28; P = .0002; I² = 91%), fasting glucose (MD = –14.8 mg/dL; 95% CI, –23.8 to –5.58; P = .001; I² = 92%), and HOMA-IR (MD = –1.89; 95% CI, –3.45 to –0.33; P = .02; I² = 94%) compared with control. The effect on hemoglobin A1C exceeds the ≥ 0.3% threshold established by the US Food and Drug Administration for new antihyperglycemic drug development. There was no significant effect on fasting insulin or fructosamine, although the sample size for fructosamine was small. No significant evidence of a dose-dependent response effect was found. The studies had substantial heterogeneity. No evaluation of potential or real harm was noted in the analysis.

WHAT’S NEW

Potential glycemic benefit without large dietary increase

The glucose-lowering effects of increased fiber intake have often been hypothesized, but this meta-analysis is the first to focus specifically on the effect of viscous fiber supplements in patients with T2D. Prior meta-analyses, including those cited in the 2019 ADA recommendations mentioned above, included primarily whole-food dietary sources of fiber in the treatment arms and generally had more modest effects on outcomes.^4,6,7

By focusing on viscous fiber supplements, this study isolated the effect of these supplements vs fiber-rich dietary changes. It illustrates a greater potential benefit with supplements than whole-food dietary ­sources of fiber, and at a lower dose of fiber than was seen in prior studies without requiring substantial increases in caloric intake. Viscous fiber supplementation is a potential adjunct to the usual evidence-based standards of care for glycemic control in patients with T2D.

CAVEATS

Limited study durations may raise uncertainty about long-term benefits

This meta-analysis does have its limitations. The heterogeneity among the studies analyzed makes it difficult to establish a single recommendation regarding dose, type, and brand of fiber to be used. Only 11 of the 28 studies lasted longer than 12 weeks, with a median duration of 8 weeks, making any long-term effects on hemoglobin A1C unknown. No adverse effects or reactions were described to evaluate safety and tolerability of the viscous fiber supplementation. No patient-oriented outcomes were reported.

CHALLENGES TO IMPLEMENTATION

Patients may not be eager to supplement with viscous fiber

The biggest challenge to implementation is patient compliance. Some forms of supplemental fiber are less palatable than others and may cause unpleasant gastrointestinal adverse effects, which may be an impediment for some patients. Cost may also be an issue for some patients. Diabetes medications can be expensive; however, they are often covered, at least partially, by medical insurance. Over-the-counter supplements are unlikely to be covered for most patients.

ACKNOWLEDGEMENT

The PURLs Surveillance System was supported in part by Grant Number UL1RR024999 from the National Center for Research Resources, a Clinical Translational Science Award to the University of Chicago. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health.

ILLUSTRATIVE CASE

A 57-year-old man who was given a diagnosis of T2D a year ago presents for an office visit. His hemoglobin A1C level at diagnosis was 8.3%. He is otherwise healthy and has been adhering well to a plan of metformin 1000 mg twice daily, regular exercise, and a low-­carbohydrate diet you recommended. His most recent hemoglobin A1C is 7.3%. He is pleased with his progress, so he is discouraged when you tell him that he is not yet at goal. He asks if there are other things that he can do to further lower his hemoglobin A1C. What can you recommend for him?

According to the National Diabetes Statistics Report, 2020 from the Centers for Disease Control and Prevention, approximately 34.1 million US adults ≥ 18 years of age (13% of the adult population) have diabetes, 50% of whom have a hemoglobin A1C > 7%. The report also states that approximately 88 million US adults—more than one-third of the population—have prediabetes.²

The American Diabetes Association (ADA) estimated that diabetes-related health care costs in the United States for 2017 totaled $237 billion, an increase of 26% from 2012. More than $30 billion of this expense comes directly from diabetes medications; the remainder of these costs are related to lost wages, clinic visits, hospitalizations, and treatment for diabetic complications and comorbidities. After controlling for age and gender, medical expenditures for people with diabetes are 2.3 times higher than for those without diabetes.³

The 2019 ADA Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report makes general recommendations concerning fiber intake for patients with diabetes or prediabetes, stating that these patients should consume approximately 14 g of fiber for every 1000 kcal consumed, giving preference to whole-food sources rather than supplements.⁴ The report indicates that some studies have shown hemoglobin A1C reductions of 0.2% to 0.3% with daily fiber intake exceeding 50 g. However, this level of intake can cause unpleasant gastrointestinal adverse effects, including bloating, diarrhea, and flatulence.^4,5

STUDY SUMMARY

Effect on A1C exceeded the FDA threshold for new drugs

This systematic review and meta-analysis searched MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials to identify randomized controlled trials that studied the effects of viscous fiber supplementation on glycemic control in patients with T2D. Eligible studies included those that: (1) had a duration ≥ 3 weeks; (2) allowed isolation of the viscous fiber effects; and (3) reported at least 1 of the following glycemic measures: hemoglobin A1C (n = 1148 patients), fasting glucose (n = 1394), fasting insulin (n = 228), homeostatic model assessment of insulin resistance (HOMA-IR; n = 652), and fructosamine (n = 23).

As an adjunct to standard of care, viscous fiber supplements significantly improved hemoglobin A1C and other glycemic markers in patients with T2D.

Data were pooled using the generic inverse variance method and expressed as mean difference (MD) with 95% confidence intervals (CIs). Heterogeneity was assessed and quantified (Cochran Q and I² statistics, respectively). I² ≥ 50% indicates substantial heterogeneity. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was used to evaluate the overall strength of evidence.

Twenty-eight eligible studies were compared. The median age of included patients was 60 years. The median dose of viscous fiber was 13.1 g/d (range, 2.55-21). Viscous fiber type varied between the studies and included psyllium, guar gum, β-glucan, and konjac, and was consumed in powder, tablet, capsule, and limited food-based forms (in 1 of the included studies). The median trial duration was 8 weeks, with 11 trials lasting ≥ 12 weeks.

Continue to: The study found...

The study found moderate-grade evidence that, when added to standard of care, viscous fiber supplementation reduced hemoglobin A1C (MD = –0.58%; 95% CI, –0.88 to –0.28; P = .0002; I² = 91%), fasting glucose (MD = –14.8 mg/dL; 95% CI, –23.8 to –5.58; P = .001; I² = 92%), and HOMA-IR (MD = –1.89; 95% CI, –3.45 to –0.33; P = .02; I² = 94%) compared with control. The effect on hemoglobin A1C exceeds the ≥ 0.3% threshold established by the US Food and Drug Administration for new antihyperglycemic drug development. There was no significant effect on fasting insulin or fructosamine, although the sample size for fructosamine was small. No significant evidence of a dose-dependent response effect was found. The studies had substantial heterogeneity. No evaluation of potential or real harm was noted in the analysis.

WHAT’S NEW

Potential glycemic benefit without large dietary increase

The glucose-lowering effects of increased fiber intake have often been hypothesized, but this meta-analysis is the first to focus specifically on the effect of viscous fiber supplements in patients with T2D. Prior meta-analyses, including those cited in the 2019 ADA recommendations mentioned above, included primarily whole-food dietary sources of fiber in the treatment arms and generally had more modest effects on outcomes.^4,6,7

By focusing on viscous fiber supplements, this study isolated the effect of these supplements vs fiber-rich dietary changes. It illustrates a greater potential benefit with supplements than whole-food dietary ­sources of fiber, and at a lower dose of fiber than was seen in prior studies without requiring substantial increases in caloric intake. Viscous fiber supplementation is a potential adjunct to the usual evidence-based standards of care for glycemic control in patients with T2D.

CAVEATS

Limited study durations may raise uncertainty about long-term benefits

This meta-analysis does have its limitations. The heterogeneity among the studies analyzed makes it difficult to establish a single recommendation regarding dose, type, and brand of fiber to be used. Only 11 of the 28 studies lasted longer than 12 weeks, with a median duration of 8 weeks, making any long-term effects on hemoglobin A1C unknown. No adverse effects or reactions were described to evaluate safety and tolerability of the viscous fiber supplementation. No patient-oriented outcomes were reported.

CHALLENGES TO IMPLEMENTATION

Patients may not be eager to supplement with viscous fiber

The biggest challenge to implementation is patient compliance. Some forms of supplemental fiber are less palatable than others and may cause unpleasant gastrointestinal adverse effects, which may be an impediment for some patients. Cost may also be an issue for some patients. Diabetes medications can be expensive; however, they are often covered, at least partially, by medical insurance. Over-the-counter supplements are unlikely to be covered for most patients.

ACKNOWLEDGEMENT

The PURLs Surveillance System was supported in part by Grant Number UL1RR024999 from the National Center for Research Resources, a Clinical Translational Science Award to the University of Chicago. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health.

ILLUSTRATIVE CASE

A 57-year-old man who was given a diagnosis of T2D a year ago presents for an office visit. His hemoglobin A1C level at diagnosis was 8.3%. He is otherwise healthy and has been adhering well to a plan of metformin 1000 mg twice daily, regular exercise, and a low-­carbohydrate diet you recommended. His most recent hemoglobin A1C is 7.3%. He is pleased with his progress, so he is discouraged when you tell him that he is not yet at goal. He asks if there are other things that he can do to further lower his hemoglobin A1C. What can you recommend for him?

According to the National Diabetes Statistics Report, 2020 from the Centers for Disease Control and Prevention, approximately 34.1 million US adults ≥ 18 years of age (13% of the adult population) have diabetes, 50% of whom have a hemoglobin A1C > 7%. The report also states that approximately 88 million US adults—more than one-third of the population—have prediabetes.²

The American Diabetes Association (ADA) estimated that diabetes-related health care costs in the United States for 2017 totaled $237 billion, an increase of 26% from 2012. More than $30 billion of this expense comes directly from diabetes medications; the remainder of these costs are related to lost wages, clinic visits, hospitalizations, and treatment for diabetic complications and comorbidities. After controlling for age and gender, medical expenditures for people with diabetes are 2.3 times higher than for those without diabetes.³

The 2019 ADA Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report makes general recommendations concerning fiber intake for patients with diabetes or prediabetes, stating that these patients should consume approximately 14 g of fiber for every 1000 kcal consumed, giving preference to whole-food sources rather than supplements.⁴ The report indicates that some studies have shown hemoglobin A1C reductions of 0.2% to 0.3% with daily fiber intake exceeding 50 g. However, this level of intake can cause unpleasant gastrointestinal adverse effects, including bloating, diarrhea, and flatulence.^4,5

STUDY SUMMARY

Effect on A1C exceeded the FDA threshold for new drugs

This systematic review and meta-analysis searched MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials to identify randomized controlled trials that studied the effects of viscous fiber supplementation on glycemic control in patients with T2D. Eligible studies included those that: (1) had a duration ≥ 3 weeks; (2) allowed isolation of the viscous fiber effects; and (3) reported at least 1 of the following glycemic measures: hemoglobin A1C (n = 1148 patients), fasting glucose (n = 1394), fasting insulin (n = 228), homeostatic model assessment of insulin resistance (HOMA-IR; n = 652), and fructosamine (n = 23).

As an adjunct to standard of care, viscous fiber supplements significantly improved hemoglobin A1C and other glycemic markers in patients with T2D.

Data were pooled using the generic inverse variance method and expressed as mean difference (MD) with 95% confidence intervals (CIs). Heterogeneity was assessed and quantified (Cochran Q and I² statistics, respectively). I² ≥ 50% indicates substantial heterogeneity. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was used to evaluate the overall strength of evidence.

Twenty-eight eligible studies were compared. The median age of included patients was 60 years. The median dose of viscous fiber was 13.1 g/d (range, 2.55-21). Viscous fiber type varied between the studies and included psyllium, guar gum, β-glucan, and konjac, and was consumed in powder, tablet, capsule, and limited food-based forms (in 1 of the included studies). The median trial duration was 8 weeks, with 11 trials lasting ≥ 12 weeks.

Continue to: The study found...

The study found moderate-grade evidence that, when added to standard of care, viscous fiber supplementation reduced hemoglobin A1C (MD = –0.58%; 95% CI, –0.88 to –0.28; P = .0002; I² = 91%), fasting glucose (MD = –14.8 mg/dL; 95% CI, –23.8 to –5.58; P = .001; I² = 92%), and HOMA-IR (MD = –1.89; 95% CI, –3.45 to –0.33; P = .02; I² = 94%) compared with control. The effect on hemoglobin A1C exceeds the ≥ 0.3% threshold established by the US Food and Drug Administration for new antihyperglycemic drug development. There was no significant effect on fasting insulin or fructosamine, although the sample size for fructosamine was small. No significant evidence of a dose-dependent response effect was found. The studies had substantial heterogeneity. No evaluation of potential or real harm was noted in the analysis.

WHAT’S NEW

Potential glycemic benefit without large dietary increase

The glucose-lowering effects of increased fiber intake have often been hypothesized, but this meta-analysis is the first to focus specifically on the effect of viscous fiber supplements in patients with T2D. Prior meta-analyses, including those cited in the 2019 ADA recommendations mentioned above, included primarily whole-food dietary sources of fiber in the treatment arms and generally had more modest effects on outcomes.^4,6,7

By focusing on viscous fiber supplements, this study isolated the effect of these supplements vs fiber-rich dietary changes. It illustrates a greater potential benefit with supplements than whole-food dietary ­sources of fiber, and at a lower dose of fiber than was seen in prior studies without requiring substantial increases in caloric intake. Viscous fiber supplementation is a potential adjunct to the usual evidence-based standards of care for glycemic control in patients with T2D.

CAVEATS

Limited study durations may raise uncertainty about long-term benefits

This meta-analysis does have its limitations. The heterogeneity among the studies analyzed makes it difficult to establish a single recommendation regarding dose, type, and brand of fiber to be used. Only 11 of the 28 studies lasted longer than 12 weeks, with a median duration of 8 weeks, making any long-term effects on hemoglobin A1C unknown. No adverse effects or reactions were described to evaluate safety and tolerability of the viscous fiber supplementation. No patient-oriented outcomes were reported.

CHALLENGES TO IMPLEMENTATION

Patients may not be eager to supplement with viscous fiber

The biggest challenge to implementation is patient compliance. Some forms of supplemental fiber are less palatable than others and may cause unpleasant gastrointestinal adverse effects, which may be an impediment for some patients. Cost may also be an issue for some patients. Diabetes medications can be expensive; however, they are often covered, at least partially, by medical insurance. Over-the-counter supplements are unlikely to be covered for most patients.

ACKNOWLEDGEMENT

The PURLs Surveillance System was supported in part by Grant Number UL1RR024999 from the National Center for Research Resources, a Clinical Translational Science Award to the University of Chicago. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health.

Chronic kidney disease (CKD) is a significant comorbidity of diabetes mellitus. The Kidney Disease Outcomes Quality Initiative (KDOQI) of the National Kidney Foundation defines CKD as the presence of kidney damage or decreased kidney function for ≥ 3 months. CKD caused by diabetes is called diabetic kidney disease (DKD), which is 1 of 3 principal microvascular complications of diabetes. DKD can progress to end-stage renal disease (ESRD), requiring kidney replacement therapy, and is the leading cause of CKD and ESRD in the United States.^1-3 Studies have also shown that, particularly in patients with diabetes, CKD considerably increases the risk of cardiovascular events, which often occur prior to ESRD.^1,4

This article provides the latest recommendations for evaluating and managing DKD to help you prevent or slow its progression.

Defining and categorizing diabetic kidney disease

CKD is defined as persistently elevated excretion of urinary albumin (albuminuria) and decreased estimated glomerular filtration rate (eGFR), or as the presence of signs of progressive kidney damage.^5,6 DKD, also known as diabetic nephropathy, is CKD attributed to long-term diabetes. A patient’s eGFR is the established basis for assignment to a stage (1, 2, 3a, 3b, 4, or 5) of CKD (TABLE 1⁷) and, along with the category of albuminuria (A1, A2, or A3), can indicate prognosis.

Taking its toll in diabetes

As many as 40% of patients with diabetes develop DKD.^8-10 Most studies of DKD have been conducted in patients with type 1 diabetes (T1D), because the time of clinical onset is typically known.

Type 1 diabetes. DKD usually occurs 10 to 15 years, or later, after the onset of diabetes.⁶ As many as 30% of people with T1D have albuminuria approximately 15 years after onset of diabetes; almost one-half of those develop DKD.^5,11 After approximately 22.5 years without albuminuria, patients with T1D have approximately a 1% annual risk of DKD.¹²

Type 2 diabetes (T2D). DKD is often present at diagnosis, likely due to a delay in diagnosis and briefer clinical exposure, compared to T1D. Albuminuria has been reported in as many as 40% of patients with T2D approximately 10 years after onset of diabetes.^12,13

Multiple risk factors with no standout “predictor”

Genetic susceptibility, ethnicity, glycemic control, smoking, blood pressure (BP), and the eGFR have been identified as risk factors for renal involvement in diabetes; obesity, oral contraceptives, and age can also contribute. Although each risk factor increases the risk of DKD, no single factor is adequately predictive. Moderately increased albuminuria, the earliest sign of DKD, is associated with progressive nephropathy.¹²

Continue to: How great is the risk?

How great is the risk? From disease onset to proteinuria and from proteinuria to ESRD, the risk of DKD in T1D and T2D is similar. With appropriate treatment, albuminuria can regress, and the risk of ESRD can be < 20% at 10 years in T1D.¹² As in T1D, good glycemic control might result in regression of albuminuria in T2D.¹⁴

As many as 30% of people with T1D have albuminuria approximately 15 years after onset of diabetes; almost one-half of those develop DKD.

For unknown reasons, the degree of albuminuria can exist independent of the progression of DKD. Factors responsible for a progressive decline in eGFR in DKD without albuminuria are unknown.^12,15

Patient evaluation with an eye toward comorbidities

A comprehensive initial medical evaluation for DKD includes a review of microvascular complications; visits to specialists; lifestyle and behavior patterns (eg, diet, sleep, substance use, and social support); and medication adherence, adverse drug effects, and alternative medicines. Although DKD is often a clinical diagnosis, it can be ruled in by persistent albuminuria or decreased eGFR, or both, in established diabetes or diabetic retinopathy when other causes are unlikely (see “Recommended DKD screening protocol,” below).

Screening for mental health conditions and barriers to self-management is also key.⁶

Comorbidities, of course, can complicate disease management in patients with diabetes.^16-20 Providers and patients therefore need to be aware of potential diabetic comorbidities. For example, DKD and even moderately increased albuminuria significantly increase the risk of cardiovascular disease (CVD).¹² Other possible comorbidities include (but are not limited to) nonalcoholic steatohepatitis, fracture, hearing impairment, cancer (eg, liver, pancreas, endometrium, colon, rectum, breast, and bladder), pancreatitis, hypogonadism, obstructive sleep apnea, periodontal disease, anxiety, depression, and eating disorders.⁶

Continue to: Recommended DKD screening protocol

In all cases of T2D, in cases of T1D of ≥ 5 years’ duration, and in patients with diabetes and comorbid hypertension, perform annual screening for albuminuria, an elevated creatinine level, and a decline in eGFR.

Screen for potential comorbidities of DKD: For example, the risk of cardiovascular disease is significantly elevated in even moderately increased albuminuria.

To confirm the diagnosis of DKD, at least 2 of 3 urine specimens must demonstrate an elevated urinary albumin:creatinine ratio (UACR) over a 3- to 6-month period.²¹ Apart from renal damage, exercise within 24 hours before specimen collection, infection, fever, congestive heart failure, hyperglycemia, menstruation, and hypertension can elevate the UACR.⁶

Levels of the UACR are established as follows²²:

• Normal UACR is defined as < 30 milligrams of albumin per gram of creatinine (expressed as “mg/g”).
• Increased urinary albumin excretion is defined as ≥ 30 mg/g.
• Moderately increased albuminuria, a predictor of potential nephropathy, is the excretion of 30 to 300 mg/g.
• Severely increased albuminuria is excretion > 300 mg/g; it is often followed by a gradual decline in eGFR that, without treatment, eventually leads to ESRD.

The rate of decline in eGFR once albuminuria is severely increased is equivalent in T1D and T2D.¹² Without intervention, the time from severely increased albuminuria to ESRD in T1D and T2D averages approximately 6 or 7 years.

Clinical features

DKD is typically a clinical diagnosis seen in patients with longstanding diabetes, albuminuria, retinopathy, or a reduced eGFR in the absence of another primary cause of kidney damage. In patients with T1D and DKD, signs of retinopathy and neuropathy are almost always present at diagnosis, unless a diagnosis is made early in the course of diabetes.¹² Therefore, the presence of retinopathy suggests that diabetes is the likely cause of CKD.

Continue to: The presence of microvascular disease...

The presence of microvascular disease in patients with T2D and DKD is less predictable.¹² In T2D patients who do not have retinopathy, consider causes of CKD other than DKD. Features suggesting that the cause of CKD is an underlying condition other than diabetes are rapidly increasing albuminuria or decreasing eGFR; urinary sediment comprising red blood cells or white blood cells; and nephrotic syndrome.⁶

As the prevalence of diabetes increases, it has become more common to diagnose DKD by eGFR without albuminuria—underscoring the importance of routine monitoring of eGFR in patients with diabetes.⁶

Sources of expert guidance. The Chronic Kidney Disease Epidemiology Collaboration equation²³ is preferred for calculating eGFR from serum creatinine: An eGFR < 60 mL/min/1.73 m² is considered abnormal.^3,12 At these rates, the prevalence of complications related to CKD rises and screening for complications becomes necessary.

A more comprehensive classification of the stages of CKD, incorporating albuminuria and progression of CKD, has been recommended by Kidney Disease: Improving Global Outcomes (KDIGO).⁷ Because eGFR and excretion of albumin vary, abnormal test results need to be verified over time to stage the degree of CKD.^3,12 Kidney damage often manifests as albuminuria, but also as hematuria, other types of abnormal urinary sediment, radiographic abnormalities, and other abnormal presentations.

Management

Nutritional factors

Excessive protein intake has been shown to increase albuminuria, worsen renal function, and increase CVD mortality in DKD.^24-26 Therefore, daily dietary protein intake of 0.8 g/kg body weight is recommended for patients who are not on dialysis.³ Patients on dialysis might require higher protein intake to preserve muscle mass caused by protein-energy wasting, which is common in dialysis patients.⁶

Continue to: Low sodium intake

Low sodium intake in CKD patients has been shown to decrease BP and thus slow the progression of renal disease and lower the risk of CVD. The recommended dietary sodium intake in CKD patients is 1500-3000 mg/d.³

Low potassium intake. Hyperkalemia is a serious complication of CKD. A low-potassium diet is recommended in ESRD patients who have a potassium level > 5.5 mEq/L.⁶

Blood pressure

Preventing and treating hypertension is critical to slowing the progression of CKD and reducing cardiovascular risk. BP should be measured at every clinic visit. Aside from lifestyle changes, medication might be needed to reach target BP.

The American Diabetes Association recommends a BP goal of ≤ 140/90 mm Hg for hypertensive patients with diabetes, although they do state that a lower BP target (≤ 130/80 mm Hg) might be more appropriate for patients with DKD.²⁷

The American College of Cardiology recommends that hypertensive patients with CKD have a BP target of ≤ 130/80 mm Hg.²⁸

Continue to: ACE inhibitors and ARBs

Angiotensin-converting enzyme (ACE) inhibitors and angiotensin II receptor blockers (ARBs) have renoprotective benefits. These agents are recommended as first-line medications for patients with diabetes, hypertension, and an eGFR < 60 mL/min/1.73 m² and a UACR > 300 mg/g.^29-31 Evidence also supports their use when the UACR is 30 to 299 mg/g.

Studies have shown that, in patients with DKD, ACE inhibitors and ARBs can slow the progression of renal disease.^29,30,32 There is no difference between ACE inhibitors and ARBs in their effectiveness for preventing progression of DKD.⁶ There is no added benefit in combining an ACE inhibitor and an ARB³³; notably, combination ACE inhibitor and ARB therapy can increase the risk of adverse events, such as hyperkalemia and acute kidney injury, especially in patients with DKD.³³

There is no evidence for starting an ACE inhibitor or ARB to prevent CKD in patients with diabetes who are not hypertensive.⁵

ACE inhibitors and ARBs should be used with caution in women of childbearing age, who should use a reliable form of contraception if taking one of these drugs.

Diuretics. Thiazide-type and loop diuretics might potentiate the positive effects of ACE inhibitors and ARBs. KDOQI guidelines recommend that, in patients who require a second agent to control BP, a diuretic should be considered in combination with an ACE inhibitor or an ARB.²⁰ A loop diuretic is preferred if the eGFR is < 30 mL/min/1.73 m².

Continue to: Nondihydropyridine calcium-channel blockers

Nondihydropyridine calcium-channel blockers (CCBs), such as diltiazem and verapamil, have been shown to be more effective then dihydrophyridine CCBs, such as amlodipine and nifedipine, in slowing the progression of renal disease because of their antiproteinuric effects. However, the antiproteinuric effects of nondihydropyridine CCBs are not as strong as those of ACE inhibitors or ARBs, and these drugs do not appear to potentiate the effects of an ACE inhibitor or ARB when used in combination.²⁰

Confirmation of suspected DKD requires an elevated albumin:creatinine ratio in at least 2 of 3 urine specimens over a 3- to 6-month period.

Nondihydropyridine CCBs might be a reasonable alternative in patients who cannot tolerate an ACE inhibitor or an ARB.

Mineralocorticoid receptor antagonists in combination with an ACE inhibitor or ARB have been demonstrated to reduce albuminuria in short-term studies.^34,35

Glycemic levels

Studies conducted in patients with T1D, and others in patients with T2D, have shown that tight glycemic control can delay the onset and slow the progression of albuminuria and a decline in the eGFR.^10,36-39 The target glycated hemoglobin (A1C) should be < 7% to prevent or slow progression of DKD.⁴⁰ However, patients with DKD have an increased risk of hypoglycemic events and increased mortality with more intensive glycemic control.^40,41 Given those findings, some patients with DKD and significant comorbidities, ESRD, or limited life expectancy might need to have an A1C target set at 8%.^6,42

Adjustments to antidiabetes medications in DKD

In patients with stages 3 to 5 DKD, several common antidiabetic medications might need to be adjusted or discontinued because they decrease creatinine clearance.

Continue to: First-generation sulfonylureas

First-generation sulfonylureas should be avoided in DKD. Glipizide and gliclazide are preferred among second-generation sulfonylureas because they do not increase the risk of hypoglycemia in DKD patients, although patients taking these medications still require close monitoring of their blood glucose level.²⁰

Metformin. In 2016, recommendations changed for the use of metformin in patients with DKD: The eGFR, not the serum creatinine level, should guide treatment.⁴³ Metformin can be used safely in patients with (1) an eGFR of < 60 mL/min/1.73 m² and (2) an eGFR of 30 mL/min/1.73 m² with close monitoring. Metformin should not be initiated if the eGFR is < 45 mL/min/1.73 m².⁴³ 

Antidiabetes medications with direct effect on the kidney

Several antidiabetes medications have a direct effect on the kidney apart from their effect on the blood glucose level.

Sodium-glucose co-transporter 2 (SGLT2) inhibitors have been shown to reduce albuminuria and slow the decrease of eGFR independent of glycemic control. In addition, SGLT2 inhibitors have also been shown to have cardiovascular benefits in patients with DKD.^44,45 

Glucagon-like peptide 1 (GLP-1) receptor agonists have been shown to delay and decrease the progression of DKD.^46-48 Also, similar to what is seen with SGLT2 inhibitors, GLP-1 agonists have demonstrable cardiovascular benefit in patients with DKD.^46,48

Continue to: Dyslipidemia and DKD

Because the risk of CVD is increased in patients with DKD, addressing other modifiable risk factors, including dyslipidemia, is recommended in these patients. Patients with diabetes and stages 1 to 4 DKD should be treated with a high-intensity statin or a combination of a statin and ezetimibe.^49,50

Tight glycemic control in T1D and T2D can delay the onset, and slow the progression, of albuminuria and a decline in the eGFR.

If a patient is taking a statin and starting dialysis, it’s important to discuss with him or her whether to continue the statin, based on perceived benefits and risks. It is not recommended that statins be initiated in patients on dialysis unless there is a specific cardiovascular indication for doing so. Risk reduction with a statin has been shown to be significantly less in dialysis patients than in patients who are not being treated with dialysis.⁴⁹

Complications of CKD

Anemia is a common complication of CKD. KDIGO recommends measuring the ­hemoglobin concentration annually in DKD stage 3 patients without anemia; at least every 6 months in stage 4 patients; and at least every 3 months in stage 5. DKD patients with anemia should have additional laboratory testing: the absolute reticulocyte count, serum ferritin, serum transferrin saturation, vitamin B12, and folate.⁵¹

Mineral and bone disorder should be screened for in patients with DKD. TABLE 2⁵² outlines when clinical laboratory tests should be ordered to assess for mineral bone disease.

When to refer to a nephrologist

Refer patients with stage 4 or 5 CKD (eGFR, ≤ 30 mL/min/1.73 m²) to a nephrologist for discussion of kidney replacement therapy.⁶ Patients with stage 3a CKD and severely increased albuminuria or with stage 3b CKD and moderately or severely increased albuminuria should also be referred to a nephrologist for intervention to delay disease progression.

Continue to: Identifying the need for early referral...

Nutritional control is important in DKD: A lowsodium diet can slow progression of DKD, and a low-potassium diet can prevent hyperkalemia in end-stage renal disease.

Identifying the need for early referral to a nephrologist has been shown to reduce the cost, and improve the quality, of care.⁵³ Other indications for earlier referral include uncertainty about the etiology of renal disease, persistent or severe albuminuria, persistent hematuria, a rapid decline in eGFR, and acute kidney injury. Additionally, referral at an earlier stage of DKD might be needed to assist with complications associated with DKD, such as anemia, secondary hyperparathyroidism, mineral and bone disorder, resistant hypertension, fluid overload, and electrolyte disturbances.⁶

ACKNOWLEDGEMENT
The authors thank Colleen Colbert, PhD, and Iqbal Ahmad, PhD, for their review and critique of the manuscript of this article. They also thank Christopher Babiuch, MD, for his guidance in the preparation of the manuscript.

CORRESPONDENCE
Faraz Ahmad, MD, MPH, Care Point East Family Medicine, 543 Taylor Avenue, 2nd floor, Columbus, OH 43203; faraz. ahmad@osumc.edu.

Chronic kidney disease (CKD) is a significant comorbidity of diabetes mellitus. The Kidney Disease Outcomes Quality Initiative (KDOQI) of the National Kidney Foundation defines CKD as the presence of kidney damage or decreased kidney function for ≥ 3 months. CKD caused by diabetes is called diabetic kidney disease (DKD), which is 1 of 3 principal microvascular complications of diabetes. DKD can progress to end-stage renal disease (ESRD), requiring kidney replacement therapy, and is the leading cause of CKD and ESRD in the United States.^1-3 Studies have also shown that, particularly in patients with diabetes, CKD considerably increases the risk of cardiovascular events, which often occur prior to ESRD.^1,4

This article provides the latest recommendations for evaluating and managing DKD to help you prevent or slow its progression.

Defining and categorizing diabetic kidney disease

CKD is defined as persistently elevated excretion of urinary albumin (albuminuria) and decreased estimated glomerular filtration rate (eGFR), or as the presence of signs of progressive kidney damage.^5,6 DKD, also known as diabetic nephropathy, is CKD attributed to long-term diabetes. A patient’s eGFR is the established basis for assignment to a stage (1, 2, 3a, 3b, 4, or 5) of CKD (TABLE 1⁷) and, along with the category of albuminuria (A1, A2, or A3), can indicate prognosis.

Taking its toll in diabetes

As many as 40% of patients with diabetes develop DKD.^8-10 Most studies of DKD have been conducted in patients with type 1 diabetes (T1D), because the time of clinical onset is typically known.

Type 1 diabetes. DKD usually occurs 10 to 15 years, or later, after the onset of diabetes.⁶ As many as 30% of people with T1D have albuminuria approximately 15 years after onset of diabetes; almost one-half of those develop DKD.^5,11 After approximately 22.5 years without albuminuria, patients with T1D have approximately a 1% annual risk of DKD.¹²

Type 2 diabetes (T2D). DKD is often present at diagnosis, likely due to a delay in diagnosis and briefer clinical exposure, compared to T1D. Albuminuria has been reported in as many as 40% of patients with T2D approximately 10 years after onset of diabetes.^12,13

Multiple risk factors with no standout “predictor”

Genetic susceptibility, ethnicity, glycemic control, smoking, blood pressure (BP), and the eGFR have been identified as risk factors for renal involvement in diabetes; obesity, oral contraceptives, and age can also contribute. Although each risk factor increases the risk of DKD, no single factor is adequately predictive. Moderately increased albuminuria, the earliest sign of DKD, is associated with progressive nephropathy.¹²

Continue to: How great is the risk?

How great is the risk? From disease onset to proteinuria and from proteinuria to ESRD, the risk of DKD in T1D and T2D is similar. With appropriate treatment, albuminuria can regress, and the risk of ESRD can be < 20% at 10 years in T1D.¹² As in T1D, good glycemic control might result in regression of albuminuria in T2D.¹⁴

As many as 30% of people with T1D have albuminuria approximately 15 years after onset of diabetes; almost one-half of those develop DKD.

For unknown reasons, the degree of albuminuria can exist independent of the progression of DKD. Factors responsible for a progressive decline in eGFR in DKD without albuminuria are unknown.^12,15

Patient evaluation with an eye toward comorbidities

A comprehensive initial medical evaluation for DKD includes a review of microvascular complications; visits to specialists; lifestyle and behavior patterns (eg, diet, sleep, substance use, and social support); and medication adherence, adverse drug effects, and alternative medicines. Although DKD is often a clinical diagnosis, it can be ruled in by persistent albuminuria or decreased eGFR, or both, in established diabetes or diabetic retinopathy when other causes are unlikely (see “Recommended DKD screening protocol,” below).

Screening for mental health conditions and barriers to self-management is also key.⁶

Comorbidities, of course, can complicate disease management in patients with diabetes.^16-20 Providers and patients therefore need to be aware of potential diabetic comorbidities. For example, DKD and even moderately increased albuminuria significantly increase the risk of cardiovascular disease (CVD).¹² Other possible comorbidities include (but are not limited to) nonalcoholic steatohepatitis, fracture, hearing impairment, cancer (eg, liver, pancreas, endometrium, colon, rectum, breast, and bladder), pancreatitis, hypogonadism, obstructive sleep apnea, periodontal disease, anxiety, depression, and eating disorders.⁶

Continue to: Recommended DKD screening protocol

In all cases of T2D, in cases of T1D of ≥ 5 years’ duration, and in patients with diabetes and comorbid hypertension, perform annual screening for albuminuria, an elevated creatinine level, and a decline in eGFR.

Screen for potential comorbidities of DKD: For example, the risk of cardiovascular disease is significantly elevated in even moderately increased albuminuria.

To confirm the diagnosis of DKD, at least 2 of 3 urine specimens must demonstrate an elevated urinary albumin:creatinine ratio (UACR) over a 3- to 6-month period.²¹ Apart from renal damage, exercise within 24 hours before specimen collection, infection, fever, congestive heart failure, hyperglycemia, menstruation, and hypertension can elevate the UACR.⁶

Levels of the UACR are established as follows²²:

• Normal UACR is defined as < 30 milligrams of albumin per gram of creatinine (expressed as “mg/g”).
• Increased urinary albumin excretion is defined as ≥ 30 mg/g.
• Moderately increased albuminuria, a predictor of potential nephropathy, is the excretion of 30 to 300 mg/g.
• Severely increased albuminuria is excretion > 300 mg/g; it is often followed by a gradual decline in eGFR that, without treatment, eventually leads to ESRD.

The rate of decline in eGFR once albuminuria is severely increased is equivalent in T1D and T2D.¹² Without intervention, the time from severely increased albuminuria to ESRD in T1D and T2D averages approximately 6 or 7 years.

Clinical features

DKD is typically a clinical diagnosis seen in patients with longstanding diabetes, albuminuria, retinopathy, or a reduced eGFR in the absence of another primary cause of kidney damage. In patients with T1D and DKD, signs of retinopathy and neuropathy are almost always present at diagnosis, unless a diagnosis is made early in the course of diabetes.¹² Therefore, the presence of retinopathy suggests that diabetes is the likely cause of CKD.

Continue to: The presence of microvascular disease...

The presence of microvascular disease in patients with T2D and DKD is less predictable.¹² In T2D patients who do not have retinopathy, consider causes of CKD other than DKD. Features suggesting that the cause of CKD is an underlying condition other than diabetes are rapidly increasing albuminuria or decreasing eGFR; urinary sediment comprising red blood cells or white blood cells; and nephrotic syndrome.⁶

As the prevalence of diabetes increases, it has become more common to diagnose DKD by eGFR without albuminuria—underscoring the importance of routine monitoring of eGFR in patients with diabetes.⁶

Sources of expert guidance. The Chronic Kidney Disease Epidemiology Collaboration equation²³ is preferred for calculating eGFR from serum creatinine: An eGFR < 60 mL/min/1.73 m² is considered abnormal.^3,12 At these rates, the prevalence of complications related to CKD rises and screening for complications becomes necessary.

A more comprehensive classification of the stages of CKD, incorporating albuminuria and progression of CKD, has been recommended by Kidney Disease: Improving Global Outcomes (KDIGO).⁷ Because eGFR and excretion of albumin vary, abnormal test results need to be verified over time to stage the degree of CKD.^3,12 Kidney damage often manifests as albuminuria, but also as hematuria, other types of abnormal urinary sediment, radiographic abnormalities, and other abnormal presentations.

Management

Nutritional factors

Excessive protein intake has been shown to increase albuminuria, worsen renal function, and increase CVD mortality in DKD.^24-26 Therefore, daily dietary protein intake of 0.8 g/kg body weight is recommended for patients who are not on dialysis.³ Patients on dialysis might require higher protein intake to preserve muscle mass caused by protein-energy wasting, which is common in dialysis patients.⁶

Continue to: Low sodium intake

Low sodium intake in CKD patients has been shown to decrease BP and thus slow the progression of renal disease and lower the risk of CVD. The recommended dietary sodium intake in CKD patients is 1500-3000 mg/d.³

Low potassium intake. Hyperkalemia is a serious complication of CKD. A low-potassium diet is recommended in ESRD patients who have a potassium level > 5.5 mEq/L.⁶

Blood pressure

Preventing and treating hypertension is critical to slowing the progression of CKD and reducing cardiovascular risk. BP should be measured at every clinic visit. Aside from lifestyle changes, medication might be needed to reach target BP.

The American Diabetes Association recommends a BP goal of ≤ 140/90 mm Hg for hypertensive patients with diabetes, although they do state that a lower BP target (≤ 130/80 mm Hg) might be more appropriate for patients with DKD.²⁷

The American College of Cardiology recommends that hypertensive patients with CKD have a BP target of ≤ 130/80 mm Hg.²⁸

Continue to: ACE inhibitors and ARBs

Angiotensin-converting enzyme (ACE) inhibitors and angiotensin II receptor blockers (ARBs) have renoprotective benefits. These agents are recommended as first-line medications for patients with diabetes, hypertension, and an eGFR < 60 mL/min/1.73 m² and a UACR > 300 mg/g.^29-31 Evidence also supports their use when the UACR is 30 to 299 mg/g.

Studies have shown that, in patients with DKD, ACE inhibitors and ARBs can slow the progression of renal disease.^29,30,32 There is no difference between ACE inhibitors and ARBs in their effectiveness for preventing progression of DKD.⁶ There is no added benefit in combining an ACE inhibitor and an ARB³³; notably, combination ACE inhibitor and ARB therapy can increase the risk of adverse events, such as hyperkalemia and acute kidney injury, especially in patients with DKD.³³

There is no evidence for starting an ACE inhibitor or ARB to prevent CKD in patients with diabetes who are not hypertensive.⁵

ACE inhibitors and ARBs should be used with caution in women of childbearing age, who should use a reliable form of contraception if taking one of these drugs.

Diuretics. Thiazide-type and loop diuretics might potentiate the positive effects of ACE inhibitors and ARBs. KDOQI guidelines recommend that, in patients who require a second agent to control BP, a diuretic should be considered in combination with an ACE inhibitor or an ARB.²⁰ A loop diuretic is preferred if the eGFR is < 30 mL/min/1.73 m².

Continue to: Nondihydropyridine calcium-channel blockers

Nondihydropyridine calcium-channel blockers (CCBs), such as diltiazem and verapamil, have been shown to be more effective then dihydrophyridine CCBs, such as amlodipine and nifedipine, in slowing the progression of renal disease because of their antiproteinuric effects. However, the antiproteinuric effects of nondihydropyridine CCBs are not as strong as those of ACE inhibitors or ARBs, and these drugs do not appear to potentiate the effects of an ACE inhibitor or ARB when used in combination.²⁰

Confirmation of suspected DKD requires an elevated albumin:creatinine ratio in at least 2 of 3 urine specimens over a 3- to 6-month period.

Nondihydropyridine CCBs might be a reasonable alternative in patients who cannot tolerate an ACE inhibitor or an ARB.

Mineralocorticoid receptor antagonists in combination with an ACE inhibitor or ARB have been demonstrated to reduce albuminuria in short-term studies.^34,35

Glycemic levels

Studies conducted in patients with T1D, and others in patients with T2D, have shown that tight glycemic control can delay the onset and slow the progression of albuminuria and a decline in the eGFR.^10,36-39 The target glycated hemoglobin (A1C) should be < 7% to prevent or slow progression of DKD.⁴⁰ However, patients with DKD have an increased risk of hypoglycemic events and increased mortality with more intensive glycemic control.^40,41 Given those findings, some patients with DKD and significant comorbidities, ESRD, or limited life expectancy might need to have an A1C target set at 8%.^6,42

Adjustments to antidiabetes medications in DKD

In patients with stages 3 to 5 DKD, several common antidiabetic medications might need to be adjusted or discontinued because they decrease creatinine clearance.

Continue to: First-generation sulfonylureas

First-generation sulfonylureas should be avoided in DKD. Glipizide and gliclazide are preferred among second-generation sulfonylureas because they do not increase the risk of hypoglycemia in DKD patients, although patients taking these medications still require close monitoring of their blood glucose level.²⁰

Metformin. In 2016, recommendations changed for the use of metformin in patients with DKD: The eGFR, not the serum creatinine level, should guide treatment.⁴³ Metformin can be used safely in patients with (1) an eGFR of < 60 mL/min/1.73 m² and (2) an eGFR of 30 mL/min/1.73 m² with close monitoring. Metformin should not be initiated if the eGFR is < 45 mL/min/1.73 m².⁴³ 

Antidiabetes medications with direct effect on the kidney

Several antidiabetes medications have a direct effect on the kidney apart from their effect on the blood glucose level.

Sodium-glucose co-transporter 2 (SGLT2) inhibitors have been shown to reduce albuminuria and slow the decrease of eGFR independent of glycemic control. In addition, SGLT2 inhibitors have also been shown to have cardiovascular benefits in patients with DKD.^44,45 

Glucagon-like peptide 1 (GLP-1) receptor agonists have been shown to delay and decrease the progression of DKD.^46-48 Also, similar to what is seen with SGLT2 inhibitors, GLP-1 agonists have demonstrable cardiovascular benefit in patients with DKD.^46,48

Continue to: Dyslipidemia and DKD

Because the risk of CVD is increased in patients with DKD, addressing other modifiable risk factors, including dyslipidemia, is recommended in these patients. Patients with diabetes and stages 1 to 4 DKD should be treated with a high-intensity statin or a combination of a statin and ezetimibe.^49,50

Tight glycemic control in T1D and T2D can delay the onset, and slow the progression, of albuminuria and a decline in the eGFR.

If a patient is taking a statin and starting dialysis, it’s important to discuss with him or her whether to continue the statin, based on perceived benefits and risks. It is not recommended that statins be initiated in patients on dialysis unless there is a specific cardiovascular indication for doing so. Risk reduction with a statin has been shown to be significantly less in dialysis patients than in patients who are not being treated with dialysis.⁴⁹

Complications of CKD

Anemia is a common complication of CKD. KDIGO recommends measuring the ­hemoglobin concentration annually in DKD stage 3 patients without anemia; at least every 6 months in stage 4 patients; and at least every 3 months in stage 5. DKD patients with anemia should have additional laboratory testing: the absolute reticulocyte count, serum ferritin, serum transferrin saturation, vitamin B12, and folate.⁵¹

Mineral and bone disorder should be screened for in patients with DKD. TABLE 2⁵² outlines when clinical laboratory tests should be ordered to assess for mineral bone disease.

When to refer to a nephrologist

Refer patients with stage 4 or 5 CKD (eGFR, ≤ 30 mL/min/1.73 m²) to a nephrologist for discussion of kidney replacement therapy.⁶ Patients with stage 3a CKD and severely increased albuminuria or with stage 3b CKD and moderately or severely increased albuminuria should also be referred to a nephrologist for intervention to delay disease progression.

Continue to: Identifying the need for early referral...

Nutritional control is important in DKD: A lowsodium diet can slow progression of DKD, and a low-potassium diet can prevent hyperkalemia in end-stage renal disease.

Identifying the need for early referral to a nephrologist has been shown to reduce the cost, and improve the quality, of care.⁵³ Other indications for earlier referral include uncertainty about the etiology of renal disease, persistent or severe albuminuria, persistent hematuria, a rapid decline in eGFR, and acute kidney injury. Additionally, referral at an earlier stage of DKD might be needed to assist with complications associated with DKD, such as anemia, secondary hyperparathyroidism, mineral and bone disorder, resistant hypertension, fluid overload, and electrolyte disturbances.⁶

ACKNOWLEDGEMENT
The authors thank Colleen Colbert, PhD, and Iqbal Ahmad, PhD, for their review and critique of the manuscript of this article. They also thank Christopher Babiuch, MD, for his guidance in the preparation of the manuscript.

CORRESPONDENCE
Faraz Ahmad, MD, MPH, Care Point East Family Medicine, 543 Taylor Avenue, 2nd floor, Columbus, OH 43203; faraz. ahmad@osumc.edu.

Chronic kidney disease (CKD) is a significant comorbidity of diabetes mellitus. The Kidney Disease Outcomes Quality Initiative (KDOQI) of the National Kidney Foundation defines CKD as the presence of kidney damage or decreased kidney function for ≥ 3 months. CKD caused by diabetes is called diabetic kidney disease (DKD), which is 1 of 3 principal microvascular complications of diabetes. DKD can progress to end-stage renal disease (ESRD), requiring kidney replacement therapy, and is the leading cause of CKD and ESRD in the United States.^1-3 Studies have also shown that, particularly in patients with diabetes, CKD considerably increases the risk of cardiovascular events, which often occur prior to ESRD.^1,4

This article provides the latest recommendations for evaluating and managing DKD to help you prevent or slow its progression.

Defining and categorizing diabetic kidney disease

CKD is defined as persistently elevated excretion of urinary albumin (albuminuria) and decreased estimated glomerular filtration rate (eGFR), or as the presence of signs of progressive kidney damage.^5,6 DKD, also known as diabetic nephropathy, is CKD attributed to long-term diabetes. A patient’s eGFR is the established basis for assignment to a stage (1, 2, 3a, 3b, 4, or 5) of CKD (TABLE 1⁷) and, along with the category of albuminuria (A1, A2, or A3), can indicate prognosis.

Taking its toll in diabetes

As many as 40% of patients with diabetes develop DKD.^8-10 Most studies of DKD have been conducted in patients with type 1 diabetes (T1D), because the time of clinical onset is typically known.

Type 1 diabetes. DKD usually occurs 10 to 15 years, or later, after the onset of diabetes.⁶ As many as 30% of people with T1D have albuminuria approximately 15 years after onset of diabetes; almost one-half of those develop DKD.^5,11 After approximately 22.5 years without albuminuria, patients with T1D have approximately a 1% annual risk of DKD.¹²

Type 2 diabetes (T2D). DKD is often present at diagnosis, likely due to a delay in diagnosis and briefer clinical exposure, compared to T1D. Albuminuria has been reported in as many as 40% of patients with T2D approximately 10 years after onset of diabetes.^12,13

Multiple risk factors with no standout “predictor”

Genetic susceptibility, ethnicity, glycemic control, smoking, blood pressure (BP), and the eGFR have been identified as risk factors for renal involvement in diabetes; obesity, oral contraceptives, and age can also contribute. Although each risk factor increases the risk of DKD, no single factor is adequately predictive. Moderately increased albuminuria, the earliest sign of DKD, is associated with progressive nephropathy.¹²

Continue to: How great is the risk?

How great is the risk? From disease onset to proteinuria and from proteinuria to ESRD, the risk of DKD in T1D and T2D is similar. With appropriate treatment, albuminuria can regress, and the risk of ESRD can be < 20% at 10 years in T1D.¹² As in T1D, good glycemic control might result in regression of albuminuria in T2D.¹⁴

As many as 30% of people with T1D have albuminuria approximately 15 years after onset of diabetes; almost one-half of those develop DKD.

For unknown reasons, the degree of albuminuria can exist independent of the progression of DKD. Factors responsible for a progressive decline in eGFR in DKD without albuminuria are unknown.^12,15

Patient evaluation with an eye toward comorbidities

A comprehensive initial medical evaluation for DKD includes a review of microvascular complications; visits to specialists; lifestyle and behavior patterns (eg, diet, sleep, substance use, and social support); and medication adherence, adverse drug effects, and alternative medicines. Although DKD is often a clinical diagnosis, it can be ruled in by persistent albuminuria or decreased eGFR, or both, in established diabetes or diabetic retinopathy when other causes are unlikely (see “Recommended DKD screening protocol,” below).

Screening for mental health conditions and barriers to self-management is also key.⁶

Comorbidities, of course, can complicate disease management in patients with diabetes.^16-20 Providers and patients therefore need to be aware of potential diabetic comorbidities. For example, DKD and even moderately increased albuminuria significantly increase the risk of cardiovascular disease (CVD).¹² Other possible comorbidities include (but are not limited to) nonalcoholic steatohepatitis, fracture, hearing impairment, cancer (eg, liver, pancreas, endometrium, colon, rectum, breast, and bladder), pancreatitis, hypogonadism, obstructive sleep apnea, periodontal disease, anxiety, depression, and eating disorders.⁶

Continue to: Recommended DKD screening protocol

In all cases of T2D, in cases of T1D of ≥ 5 years’ duration, and in patients with diabetes and comorbid hypertension, perform annual screening for albuminuria, an elevated creatinine level, and a decline in eGFR.

Screen for potential comorbidities of DKD: For example, the risk of cardiovascular disease is significantly elevated in even moderately increased albuminuria.

To confirm the diagnosis of DKD, at least 2 of 3 urine specimens must demonstrate an elevated urinary albumin:creatinine ratio (UACR) over a 3- to 6-month period.²¹ Apart from renal damage, exercise within 24 hours before specimen collection, infection, fever, congestive heart failure, hyperglycemia, menstruation, and hypertension can elevate the UACR.⁶

Levels of the UACR are established as follows²²:

• Normal UACR is defined as < 30 milligrams of albumin per gram of creatinine (expressed as “mg/g”).
• Increased urinary albumin excretion is defined as ≥ 30 mg/g.
• Moderately increased albuminuria, a predictor of potential nephropathy, is the excretion of 30 to 300 mg/g.
• Severely increased albuminuria is excretion > 300 mg/g; it is often followed by a gradual decline in eGFR that, without treatment, eventually leads to ESRD.

The rate of decline in eGFR once albuminuria is severely increased is equivalent in T1D and T2D.¹² Without intervention, the time from severely increased albuminuria to ESRD in T1D and T2D averages approximately 6 or 7 years.

Clinical features

DKD is typically a clinical diagnosis seen in patients with longstanding diabetes, albuminuria, retinopathy, or a reduced eGFR in the absence of another primary cause of kidney damage. In patients with T1D and DKD, signs of retinopathy and neuropathy are almost always present at diagnosis, unless a diagnosis is made early in the course of diabetes.¹² Therefore, the presence of retinopathy suggests that diabetes is the likely cause of CKD.

Continue to: The presence of microvascular disease...

The presence of microvascular disease in patients with T2D and DKD is less predictable.¹² In T2D patients who do not have retinopathy, consider causes of CKD other than DKD. Features suggesting that the cause of CKD is an underlying condition other than diabetes are rapidly increasing albuminuria or decreasing eGFR; urinary sediment comprising red blood cells or white blood cells; and nephrotic syndrome.⁶

As the prevalence of diabetes increases, it has become more common to diagnose DKD by eGFR without albuminuria—underscoring the importance of routine monitoring of eGFR in patients with diabetes.⁶

Sources of expert guidance. The Chronic Kidney Disease Epidemiology Collaboration equation²³ is preferred for calculating eGFR from serum creatinine: An eGFR < 60 mL/min/1.73 m² is considered abnormal.^3,12 At these rates, the prevalence of complications related to CKD rises and screening for complications becomes necessary.

A more comprehensive classification of the stages of CKD, incorporating albuminuria and progression of CKD, has been recommended by Kidney Disease: Improving Global Outcomes (KDIGO).⁷ Because eGFR and excretion of albumin vary, abnormal test results need to be verified over time to stage the degree of CKD.^3,12 Kidney damage often manifests as albuminuria, but also as hematuria, other types of abnormal urinary sediment, radiographic abnormalities, and other abnormal presentations.

Management

Nutritional factors

Excessive protein intake has been shown to increase albuminuria, worsen renal function, and increase CVD mortality in DKD.^24-26 Therefore, daily dietary protein intake of 0.8 g/kg body weight is recommended for patients who are not on dialysis.³ Patients on dialysis might require higher protein intake to preserve muscle mass caused by protein-energy wasting, which is common in dialysis patients.⁶

Continue to: Low sodium intake

Low sodium intake in CKD patients has been shown to decrease BP and thus slow the progression of renal disease and lower the risk of CVD. The recommended dietary sodium intake in CKD patients is 1500-3000 mg/d.³

Low potassium intake. Hyperkalemia is a serious complication of CKD. A low-potassium diet is recommended in ESRD patients who have a potassium level > 5.5 mEq/L.⁶

Blood pressure

Preventing and treating hypertension is critical to slowing the progression of CKD and reducing cardiovascular risk. BP should be measured at every clinic visit. Aside from lifestyle changes, medication might be needed to reach target BP.

The American Diabetes Association recommends a BP goal of ≤ 140/90 mm Hg for hypertensive patients with diabetes, although they do state that a lower BP target (≤ 130/80 mm Hg) might be more appropriate for patients with DKD.²⁷

The American College of Cardiology recommends that hypertensive patients with CKD have a BP target of ≤ 130/80 mm Hg.²⁸

Continue to: ACE inhibitors and ARBs

Angiotensin-converting enzyme (ACE) inhibitors and angiotensin II receptor blockers (ARBs) have renoprotective benefits. These agents are recommended as first-line medications for patients with diabetes, hypertension, and an eGFR < 60 mL/min/1.73 m² and a UACR > 300 mg/g.^29-31 Evidence also supports their use when the UACR is 30 to 299 mg/g.

Studies have shown that, in patients with DKD, ACE inhibitors and ARBs can slow the progression of renal disease.^29,30,32 There is no difference between ACE inhibitors and ARBs in their effectiveness for preventing progression of DKD.⁶ There is no added benefit in combining an ACE inhibitor and an ARB³³; notably, combination ACE inhibitor and ARB therapy can increase the risk of adverse events, such as hyperkalemia and acute kidney injury, especially in patients with DKD.³³

There is no evidence for starting an ACE inhibitor or ARB to prevent CKD in patients with diabetes who are not hypertensive.⁵

ACE inhibitors and ARBs should be used with caution in women of childbearing age, who should use a reliable form of contraception if taking one of these drugs.

Diuretics. Thiazide-type and loop diuretics might potentiate the positive effects of ACE inhibitors and ARBs. KDOQI guidelines recommend that, in patients who require a second agent to control BP, a diuretic should be considered in combination with an ACE inhibitor or an ARB.²⁰ A loop diuretic is preferred if the eGFR is < 30 mL/min/1.73 m².

Continue to: Nondihydropyridine calcium-channel blockers

Nondihydropyridine calcium-channel blockers (CCBs), such as diltiazem and verapamil, have been shown to be more effective then dihydrophyridine CCBs, such as amlodipine and nifedipine, in slowing the progression of renal disease because of their antiproteinuric effects. However, the antiproteinuric effects of nondihydropyridine CCBs are not as strong as those of ACE inhibitors or ARBs, and these drugs do not appear to potentiate the effects of an ACE inhibitor or ARB when used in combination.²⁰

Confirmation of suspected DKD requires an elevated albumin:creatinine ratio in at least 2 of 3 urine specimens over a 3- to 6-month period.

Nondihydropyridine CCBs might be a reasonable alternative in patients who cannot tolerate an ACE inhibitor or an ARB.

Mineralocorticoid receptor antagonists in combination with an ACE inhibitor or ARB have been demonstrated to reduce albuminuria in short-term studies.^34,35

Glycemic levels

Studies conducted in patients with T1D, and others in patients with T2D, have shown that tight glycemic control can delay the onset and slow the progression of albuminuria and a decline in the eGFR.^10,36-39 The target glycated hemoglobin (A1C) should be < 7% to prevent or slow progression of DKD.⁴⁰ However, patients with DKD have an increased risk of hypoglycemic events and increased mortality with more intensive glycemic control.^40,41 Given those findings, some patients with DKD and significant comorbidities, ESRD, or limited life expectancy might need to have an A1C target set at 8%.^6,42

Adjustments to antidiabetes medications in DKD

In patients with stages 3 to 5 DKD, several common antidiabetic medications might need to be adjusted or discontinued because they decrease creatinine clearance.

Continue to: First-generation sulfonylureas

First-generation sulfonylureas should be avoided in DKD. Glipizide and gliclazide are preferred among second-generation sulfonylureas because they do not increase the risk of hypoglycemia in DKD patients, although patients taking these medications still require close monitoring of their blood glucose level.²⁰

Metformin. In 2016, recommendations changed for the use of metformin in patients with DKD: The eGFR, not the serum creatinine level, should guide treatment.⁴³ Metformin can be used safely in patients with (1) an eGFR of < 60 mL/min/1.73 m² and (2) an eGFR of 30 mL/min/1.73 m² with close monitoring. Metformin should not be initiated if the eGFR is < 45 mL/min/1.73 m².⁴³ 

Antidiabetes medications with direct effect on the kidney

Several antidiabetes medications have a direct effect on the kidney apart from their effect on the blood glucose level.

Sodium-glucose co-transporter 2 (SGLT2) inhibitors have been shown to reduce albuminuria and slow the decrease of eGFR independent of glycemic control. In addition, SGLT2 inhibitors have also been shown to have cardiovascular benefits in patients with DKD.^44,45 

Glucagon-like peptide 1 (GLP-1) receptor agonists have been shown to delay and decrease the progression of DKD.^46-48 Also, similar to what is seen with SGLT2 inhibitors, GLP-1 agonists have demonstrable cardiovascular benefit in patients with DKD.^46,48

Continue to: Dyslipidemia and DKD

Because the risk of CVD is increased in patients with DKD, addressing other modifiable risk factors, including dyslipidemia, is recommended in these patients. Patients with diabetes and stages 1 to 4 DKD should be treated with a high-intensity statin or a combination of a statin and ezetimibe.^49,50

Tight glycemic control in T1D and T2D can delay the onset, and slow the progression, of albuminuria and a decline in the eGFR.

If a patient is taking a statin and starting dialysis, it’s important to discuss with him or her whether to continue the statin, based on perceived benefits and risks. It is not recommended that statins be initiated in patients on dialysis unless there is a specific cardiovascular indication for doing so. Risk reduction with a statin has been shown to be significantly less in dialysis patients than in patients who are not being treated with dialysis.⁴⁹

Complications of CKD

Anemia is a common complication of CKD. KDIGO recommends measuring the ­hemoglobin concentration annually in DKD stage 3 patients without anemia; at least every 6 months in stage 4 patients; and at least every 3 months in stage 5. DKD patients with anemia should have additional laboratory testing: the absolute reticulocyte count, serum ferritin, serum transferrin saturation, vitamin B12, and folate.⁵¹

Mineral and bone disorder should be screened for in patients with DKD. TABLE 2⁵² outlines when clinical laboratory tests should be ordered to assess for mineral bone disease.

When to refer to a nephrologist

Refer patients with stage 4 or 5 CKD (eGFR, ≤ 30 mL/min/1.73 m²) to a nephrologist for discussion of kidney replacement therapy.⁶ Patients with stage 3a CKD and severely increased albuminuria or with stage 3b CKD and moderately or severely increased albuminuria should also be referred to a nephrologist for intervention to delay disease progression.

Continue to: Identifying the need for early referral...

Nutritional control is important in DKD: A lowsodium diet can slow progression of DKD, and a low-potassium diet can prevent hyperkalemia in end-stage renal disease.

Identifying the need for early referral to a nephrologist has been shown to reduce the cost, and improve the quality, of care.⁵³ Other indications for earlier referral include uncertainty about the etiology of renal disease, persistent or severe albuminuria, persistent hematuria, a rapid decline in eGFR, and acute kidney injury. Additionally, referral at an earlier stage of DKD might be needed to assist with complications associated with DKD, such as anemia, secondary hyperparathyroidism, mineral and bone disorder, resistant hypertension, fluid overload, and electrolyte disturbances.⁶

ACKNOWLEDGEMENT
The authors thank Colleen Colbert, PhD, and Iqbal Ahmad, PhD, for their review and critique of the manuscript of this article. They also thank Christopher Babiuch, MD, for his guidance in the preparation of the manuscript.

CORRESPONDENCE
Faraz Ahmad, MD, MPH, Care Point East Family Medicine, 543 Taylor Avenue, 2nd floor, Columbus, OH 43203; faraz. ahmad@osumc.edu.

Home-based preventive interventions not only improve healthy eating habits and self-regulation in toddlers but also guide their parents toward better food presentation and response to picky behaviors, reported Robert L. Nix, PhD, of the University of Wisconsin, Madison, and his associates.

In a small, randomized controlled trial of 73 families with toddlers aged 18-36 months enrolled in home-based Early Head Start (EHS), the researchers evaluated four protective factors, including toddlers’ healthy eating habits, toddlers’ self-regulation, parents’ responsive feeding practices, and parents’ sensitive scaffolding. The study, conducted from April to October 2013, is the first clinical trial of Recipe 4 Success, a preschool-focused intervention created by administrators and home visitors of EHS that promotes healthy eating and self-regulation in toddlers living in poverty who may otherwise face weight challenges and obesity later in life. Integrating the intervention into EHS allowed the researchers to take full advantage of its national infrastructure and to make dissemination more efficient.

Of the families selected to participate, all of whom were living below the Federal poverty threshold, 66 were retained through post treatment. Most participating parents were biological mothers; 61% were single; 29% were not high school graduates; just 11% were employed full time. The toddlers averaged 30.72 months; 44% were female. Roughly 48% of families were non-Hispanic White; 29% were Black; and 23% were Hispanic or Latinx, the investigators reported in Pediatrics. More than three-quarters of participants were enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children or the Supplemental Nutrition Assistance Program.
 

The program allowed parents to transform toddler eating habits quickly

The study, which was designed to evaluate for posttreatment differences in the primary outcomes, involved 10 consecutive weekly lessons implemented by regularly assigned EHS home visitors. Parents were required to adhere to feeding practices carefully targeted with sensitive, structured scaffolding designed to keep toddlers from becoming overwhelmed. Parents were guided to understand, for instance, that toddlers frequently need to be exposed to a new food 10-20 times before eating it, and that poor sleep can have a detrimental influence on emotional and behavioral controls that can progress to weight gain.

Parent recall of what food and drinks their toddlers consumed in the previous 24-hour period was collected by interviewers. The percentage of all meals that included a fruit and/or vegetable, a protein source, and the absence of sweets and junk food were noted. Toddler self-regulation was assessed in accordance with delay of gratification, task orientation, and emotional/behavioral control. Parents were asked to rate toddler ability to cease desired activities to comply with parental requests. Parental responsive feeding practices were also recorded to observe how they introduce unique healthy foods and how they responded to their toddlers’ reactions. Parental sensitive scaffolding was similarly observed for their ability to structure activities in a developmentally appropriate manner promoting self-regulation.

The researchers noted no statistically significant differences between families in the treatment and control groups, nor were there differences in outcome measures or covariates. Study findings showed that, compared with toddlers who continued to receive just EHS support, the toddlers randomly assigned to Recipe 4 Success were more likely to consume snacks and meals that contained fruits, vegetables, protein, and no sweets or junk food.

As the results of this study and others have shown, early food preferences offer the strongest indication of later diet and healthy eating habits throughout life. The program targeted in this study is significant in its ability to accelerate the adoption of better toddler eating habits in just a 10-week period.

Recipe 4 Success along with other successful preventive interventions for young children are most effective when parents drive the change. “In the present trial, the quality of parenting was most highly related to healthy eating habits and self-regulation at baseline,” the researchers noted.

Specifically, the authors attributed the success of the program to “targeting specific interrelated outcomes with an integrated, theoretically driven intervention model,” which allowed Recipe 4 Success to boost the effectiveness of EHS substantially “in just 10 weeks with a minimal increase in funding,” the authors added.

The authors noted several weaknesses as well as strengths of the study. Its primary weakness was a baseline-posttreatment design, which made it impossible to assert that intervention effects can be sustained. The study was also limited to English-speaking families. Given that most home visitors attended to families in both Recipe 4 Success and EHS, the researchers noted the possibility for contamination across conditions, but they added that this would have actually reduced the intervention effects. The study’s primary strength was the evidenced-based nature of the randomized control. That Recipe 4 Success was operated as an intervention only strengthen the benefits of normal EHS visits.
 

Patient parents who promote self-regulation have the best chance of success

“This small study emphasizes the importance of parent education and support in setting the toddlers’ palate for lifelong eating habits and self-regulation,” observed Silver Spring, MD, private practice pediatrician and associate clinical professor of pediatrics at George Washington University, Washington, Lillian M. Beard, MD, in a separate interview.

“With the goal of promoting eating habits and self-regulation, I try to guide parents’ choices of what they offer to their toddler. I applaud parents’ patience as I encourage them not to give in and quickly resort to offering salty or sweet snacks. I suggest that if during the course of a day, a palette of colorful healthy choices is offered, most toddlers will graze independently as they go about their play. The challenge is to really support the parent through this quirky stage of their child’s development,” she explained.

“The ultimate challenge today with so much food insecurity, COVID-19 related job losses, and shrinking dollars to feed families is that too many families are feeling a food crisis! A program such as Recipe 4 Success can provide invaluable education for families on how to best stretch their few dollars, with knowledge of which items to seek from their community food pantries, how to best utilize items from the State WIC programs and still seek nutrition tips from their pediatricians while avoiding expensive fast foods that only offer immediate satiety and gratification. The Recipe 4 Success educator, pediatrician, or any community educator can give recommendations about which fresh produce may be inexpensive, but nutritional,” Dr. Beard suggested.

Dr. Nix and colleagues as well as Dr. Beard had no conflicts of interest and no relevant financial disclosures.
 

Home-based preventive interventions not only improve healthy eating habits and self-regulation in toddlers but also guide their parents toward better food presentation and response to picky behaviors, reported Robert L. Nix, PhD, of the University of Wisconsin, Madison, and his associates.

In a small, randomized controlled trial of 73 families with toddlers aged 18-36 months enrolled in home-based Early Head Start (EHS), the researchers evaluated four protective factors, including toddlers’ healthy eating habits, toddlers’ self-regulation, parents’ responsive feeding practices, and parents’ sensitive scaffolding. The study, conducted from April to October 2013, is the first clinical trial of Recipe 4 Success, a preschool-focused intervention created by administrators and home visitors of EHS that promotes healthy eating and self-regulation in toddlers living in poverty who may otherwise face weight challenges and obesity later in life. Integrating the intervention into EHS allowed the researchers to take full advantage of its national infrastructure and to make dissemination more efficient.

Of the families selected to participate, all of whom were living below the Federal poverty threshold, 66 were retained through post treatment. Most participating parents were biological mothers; 61% were single; 29% were not high school graduates; just 11% were employed full time. The toddlers averaged 30.72 months; 44% were female. Roughly 48% of families were non-Hispanic White; 29% were Black; and 23% were Hispanic or Latinx, the investigators reported in Pediatrics. More than three-quarters of participants were enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children or the Supplemental Nutrition Assistance Program.
 

The program allowed parents to transform toddler eating habits quickly

The study, which was designed to evaluate for posttreatment differences in the primary outcomes, involved 10 consecutive weekly lessons implemented by regularly assigned EHS home visitors. Parents were required to adhere to feeding practices carefully targeted with sensitive, structured scaffolding designed to keep toddlers from becoming overwhelmed. Parents were guided to understand, for instance, that toddlers frequently need to be exposed to a new food 10-20 times before eating it, and that poor sleep can have a detrimental influence on emotional and behavioral controls that can progress to weight gain.

Parent recall of what food and drinks their toddlers consumed in the previous 24-hour period was collected by interviewers. The percentage of all meals that included a fruit and/or vegetable, a protein source, and the absence of sweets and junk food were noted. Toddler self-regulation was assessed in accordance with delay of gratification, task orientation, and emotional/behavioral control. Parents were asked to rate toddler ability to cease desired activities to comply with parental requests. Parental responsive feeding practices were also recorded to observe how they introduce unique healthy foods and how they responded to their toddlers’ reactions. Parental sensitive scaffolding was similarly observed for their ability to structure activities in a developmentally appropriate manner promoting self-regulation.

The researchers noted no statistically significant differences between families in the treatment and control groups, nor were there differences in outcome measures or covariates. Study findings showed that, compared with toddlers who continued to receive just EHS support, the toddlers randomly assigned to Recipe 4 Success were more likely to consume snacks and meals that contained fruits, vegetables, protein, and no sweets or junk food.

As the results of this study and others have shown, early food preferences offer the strongest indication of later diet and healthy eating habits throughout life. The program targeted in this study is significant in its ability to accelerate the adoption of better toddler eating habits in just a 10-week period.

Recipe 4 Success along with other successful preventive interventions for young children are most effective when parents drive the change. “In the present trial, the quality of parenting was most highly related to healthy eating habits and self-regulation at baseline,” the researchers noted.

Specifically, the authors attributed the success of the program to “targeting specific interrelated outcomes with an integrated, theoretically driven intervention model,” which allowed Recipe 4 Success to boost the effectiveness of EHS substantially “in just 10 weeks with a minimal increase in funding,” the authors added.

The authors noted several weaknesses as well as strengths of the study. Its primary weakness was a baseline-posttreatment design, which made it impossible to assert that intervention effects can be sustained. The study was also limited to English-speaking families. Given that most home visitors attended to families in both Recipe 4 Success and EHS, the researchers noted the possibility for contamination across conditions, but they added that this would have actually reduced the intervention effects. The study’s primary strength was the evidenced-based nature of the randomized control. That Recipe 4 Success was operated as an intervention only strengthen the benefits of normal EHS visits.
 

Patient parents who promote self-regulation have the best chance of success

“This small study emphasizes the importance of parent education and support in setting the toddlers’ palate for lifelong eating habits and self-regulation,” observed Silver Spring, MD, private practice pediatrician and associate clinical professor of pediatrics at George Washington University, Washington, Lillian M. Beard, MD, in a separate interview.

“With the goal of promoting eating habits and self-regulation, I try to guide parents’ choices of what they offer to their toddler. I applaud parents’ patience as I encourage them not to give in and quickly resort to offering salty or sweet snacks. I suggest that if during the course of a day, a palette of colorful healthy choices is offered, most toddlers will graze independently as they go about their play. The challenge is to really support the parent through this quirky stage of their child’s development,” she explained.

“The ultimate challenge today with so much food insecurity, COVID-19 related job losses, and shrinking dollars to feed families is that too many families are feeling a food crisis! A program such as Recipe 4 Success can provide invaluable education for families on how to best stretch their few dollars, with knowledge of which items to seek from their community food pantries, how to best utilize items from the State WIC programs and still seek nutrition tips from their pediatricians while avoiding expensive fast foods that only offer immediate satiety and gratification. The Recipe 4 Success educator, pediatrician, or any community educator can give recommendations about which fresh produce may be inexpensive, but nutritional,” Dr. Beard suggested.

Dr. Nix and colleagues as well as Dr. Beard had no conflicts of interest and no relevant financial disclosures.
 

Home-based preventive interventions not only improve healthy eating habits and self-regulation in toddlers but also guide their parents toward better food presentation and response to picky behaviors, reported Robert L. Nix, PhD, of the University of Wisconsin, Madison, and his associates.

In a small, randomized controlled trial of 73 families with toddlers aged 18-36 months enrolled in home-based Early Head Start (EHS), the researchers evaluated four protective factors, including toddlers’ healthy eating habits, toddlers’ self-regulation, parents’ responsive feeding practices, and parents’ sensitive scaffolding. The study, conducted from April to October 2013, is the first clinical trial of Recipe 4 Success, a preschool-focused intervention created by administrators and home visitors of EHS that promotes healthy eating and self-regulation in toddlers living in poverty who may otherwise face weight challenges and obesity later in life. Integrating the intervention into EHS allowed the researchers to take full advantage of its national infrastructure and to make dissemination more efficient.

Of the families selected to participate, all of whom were living below the Federal poverty threshold, 66 were retained through post treatment. Most participating parents were biological mothers; 61% were single; 29% were not high school graduates; just 11% were employed full time. The toddlers averaged 30.72 months; 44% were female. Roughly 48% of families were non-Hispanic White; 29% were Black; and 23% were Hispanic or Latinx, the investigators reported in Pediatrics. More than three-quarters of participants were enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children or the Supplemental Nutrition Assistance Program.
 

The program allowed parents to transform toddler eating habits quickly

The study, which was designed to evaluate for posttreatment differences in the primary outcomes, involved 10 consecutive weekly lessons implemented by regularly assigned EHS home visitors. Parents were required to adhere to feeding practices carefully targeted with sensitive, structured scaffolding designed to keep toddlers from becoming overwhelmed. Parents were guided to understand, for instance, that toddlers frequently need to be exposed to a new food 10-20 times before eating it, and that poor sleep can have a detrimental influence on emotional and behavioral controls that can progress to weight gain.

Parent recall of what food and drinks their toddlers consumed in the previous 24-hour period was collected by interviewers. The percentage of all meals that included a fruit and/or vegetable, a protein source, and the absence of sweets and junk food were noted. Toddler self-regulation was assessed in accordance with delay of gratification, task orientation, and emotional/behavioral control. Parents were asked to rate toddler ability to cease desired activities to comply with parental requests. Parental responsive feeding practices were also recorded to observe how they introduce unique healthy foods and how they responded to their toddlers’ reactions. Parental sensitive scaffolding was similarly observed for their ability to structure activities in a developmentally appropriate manner promoting self-regulation.

The researchers noted no statistically significant differences between families in the treatment and control groups, nor were there differences in outcome measures or covariates. Study findings showed that, compared with toddlers who continued to receive just EHS support, the toddlers randomly assigned to Recipe 4 Success were more likely to consume snacks and meals that contained fruits, vegetables, protein, and no sweets or junk food.

As the results of this study and others have shown, early food preferences offer the strongest indication of later diet and healthy eating habits throughout life. The program targeted in this study is significant in its ability to accelerate the adoption of better toddler eating habits in just a 10-week period.

Recipe 4 Success along with other successful preventive interventions for young children are most effective when parents drive the change. “In the present trial, the quality of parenting was most highly related to healthy eating habits and self-regulation at baseline,” the researchers noted.

Specifically, the authors attributed the success of the program to “targeting specific interrelated outcomes with an integrated, theoretically driven intervention model,” which allowed Recipe 4 Success to boost the effectiveness of EHS substantially “in just 10 weeks with a minimal increase in funding,” the authors added.

The authors noted several weaknesses as well as strengths of the study. Its primary weakness was a baseline-posttreatment design, which made it impossible to assert that intervention effects can be sustained. The study was also limited to English-speaking families. Given that most home visitors attended to families in both Recipe 4 Success and EHS, the researchers noted the possibility for contamination across conditions, but they added that this would have actually reduced the intervention effects. The study’s primary strength was the evidenced-based nature of the randomized control. That Recipe 4 Success was operated as an intervention only strengthen the benefits of normal EHS visits.
 

Patient parents who promote self-regulation have the best chance of success

“This small study emphasizes the importance of parent education and support in setting the toddlers’ palate for lifelong eating habits and self-regulation,” observed Silver Spring, MD, private practice pediatrician and associate clinical professor of pediatrics at George Washington University, Washington, Lillian M. Beard, MD, in a separate interview.

“With the goal of promoting eating habits and self-regulation, I try to guide parents’ choices of what they offer to their toddler. I applaud parents’ patience as I encourage them not to give in and quickly resort to offering salty or sweet snacks. I suggest that if during the course of a day, a palette of colorful healthy choices is offered, most toddlers will graze independently as they go about their play. The challenge is to really support the parent through this quirky stage of their child’s development,” she explained.

“The ultimate challenge today with so much food insecurity, COVID-19 related job losses, and shrinking dollars to feed families is that too many families are feeling a food crisis! A program such as Recipe 4 Success can provide invaluable education for families on how to best stretch their few dollars, with knowledge of which items to seek from their community food pantries, how to best utilize items from the State WIC programs and still seek nutrition tips from their pediatricians while avoiding expensive fast foods that only offer immediate satiety and gratification. The Recipe 4 Success educator, pediatrician, or any community educator can give recommendations about which fresh produce may be inexpensive, but nutritional,” Dr. Beard suggested.

Dr. Nix and colleagues as well as Dr. Beard had no conflicts of interest and no relevant financial disclosures.
 

Cardiologist Ethan J. Weiss, MD, followed an intermittent-fasting diet for 7 years. He lost about 3.6 kg (8 lb) and began recommending the approach to friends and patients who wanted to lose weight.

“I liked the way the diet was so simple,” said Dr. Weiss, an associate professor at the Cardiovascular Research Institute, University of California, San Francisco. But he also felt “it was too good to be true because you can eat what you want as long as it’s within a narrow window.”

So when, last year, he conducted a randomized, controlled trial, TREAT, testing such an approach – eating during just 8 hours a day, fasting for the remaining 16 hours – versus an eating plan of three meals a day without restrictions, he was somewhat dismayed to find the group of people who fasted didn’t lose any more weight than the other group.

The approach used in this study is known as time-restricted eating. It involves designating periods of time within the day when people can consume whatever they want; they then “fast” at times outside those eating windows. Other methods include alternate-day fasting, or the well-known 5:2 diet. In the latter, people eat a “normal” amount of around 2,000 calories per day on 5 days of the week, but for the other 2 days, they restrict caloric intake to 500 calories per day.

Intermittent fasting is an umbrella term encompassing all of these different approaches.

Dr. Weiss’s work builds on more than a decade of research into this type of eating plan by scientists, including Krista Varady, PhD, professor of nutrition at the University of Illinois at Chicago, who presented an overview of her own studies last fall at the virtual annual meeting of the European Association for the Study of Diabetes.

Although much of the work has suggested that the shorter duration of eating period in this type of diet leads to lower calorie intake and weight loss while avoiding the need for the tedious calorie-counting of conventional diets, Dr. Weiss’s data – published last year – throws a spanner in the works and now complicates the evidence base.
 

A promise of simplicity: ‘All you have to do is watch the clock’

Dr. Varady said she, too, is intrigued by the simplicity of intermittent-fasting diets.

In 2018, Dr. Varady and colleagues tested the weight-loss efficacy of 12 weeks of time-restricted feeding in a pilot study of 23 people with obesity.

Participants were permitted an 8-hour eating window (10 a.m. to 6 p.m.) followed by water-only fasting of 16 hours (6 p.m. to 10 a.m.) the next day (sometimes referred to as the 16:8 diet). Researchers measured weight loss and fat mass, as well as metabolic parameters, and compared the active group with 23 matched-control participants who ate freely.

There were no restrictions on type or quantity of food consumed by the control group during the 8-hour period, but individuals in the time-restricted feeding group consumed around 350 calories less than the comparator group.

Dr. Varady thinks this is most likely because of the fact that people normally eat during a 14-hour window and time-restricted feeding cuts that down by 6 hours.

“One of the most beautiful things about time-restricted feeding is that it doesn’t require calorie monitoring,” she explained. “People get burnt out with having to constantly monitor calories. All you have to do is watch the clock.”

Adherence was quite high, she reported, although most people skipped 1 day, often a Saturday, likely because of social engagements.

Weight loss in the time-restricted feeding group was mild to moderate. After 3 months, mean body weight decreased by 2.6%, or approximately 3 kg (7-8 lb), relative to those who ate freely, but this was a significant difference (P  < .05).

But the researchers observed little change in metabolic disease risk factors between the groups.

In the time-restricted feeding group, systolic blood pressure dropped from 128 mm Hg to 121 mm Hg over the 12-week period, which was significant relative to the control group (P  <  .05) but there were no significant changes in fasting glucose, fasting lipids, fasting insulin, or insulin resistance relative to the comparator group.

In contrast to Dr. Varady’s findings, Dr. Weiss’s randomized TREAT trial, which used a similar 16:8 period of time-restricted versus unrestricted eating in 116 individuals with overweight or obesity, did not find greater weight loss in the group restricted to eating within the 8-hour window.

As previously reported by this news organization, those who fasted for 16 hours of each day (n = 59) did lose some weight, compared with the control group (n = 57) over 12 weeks, but the difference in weight loss between the groups was not significant (−0.26 kg; P = .63).

And there were no significant differences in any of the secondary outcomes of fat mass, fasting insulin, fasting glucose, hemoglobin A1c levels, estimated energy intake, total energy expenditure, and resting energy expenditure between the time-restricted eating and regular feeding groups.

“I don’t claim time-restricted eating is dead,” Dr. Weiss said, “but the hope that you can eat for a limited time each day and solve metabolic disease is not there.”

Does the length of the eating window matter?

Following her pilot study of an 8-hour eating window, Dr. Varady conducted further research with 4- or 6-hour eating windows to see if even shorter periods would precipitate greater weight loss, ideally a clinically significant loss of 5% of body weight.

She ran a 2-month randomized, controlled study in people with obesity, published in 2020, which was the first to examine both a 4-hour (3 p.m. to 7 p.m.; n = 19) or 6-hour (1 p.m to 7 p.m.; n = 20) eating window versus a diet without any food restrictions as a control (n = 19) (Cell Metab. 2020;32:366-78.e3).

Dr. Varady explained that they decided to shift the eating window to later in the day for this trial (in contrast to the earlier 8-hour study) to allow people to eat dinner at a sociable time, and thereby hopefully reduce dropouts from the study. 

“Unlike with alternate-day fasting, most people find time-restricted feeding easy to incorporate into their lifestyles,” she remarked.

Both the 4- and 6-hour eating window groups experienced a mean 3.2% body weight loss, compared with controls, and this correlated with a 550-calorie reduction in their daily consumption, compared with their baseline calorie intake.

In terms of other outcomes – and in contrast to the 8-hour window study which showed very little changed other than a minor decrease in blood pressure – researchers saw some changes in metabolic risk factors with the 4- and 6-hour eating windows, Dr. Varady reported.

Compared with the control group, fasting insulin decreased in both time-restricted feeding groups by a mean of 15% (P < .05). Insulin resistance also decreased by 25% in the 4-hour group and by 15% in the 6-hour group, compared with the control group. Fasting glucose did not change in either group, however.

The researchers did not observe any effect on blood pressure or plasma lipids in the 4- or 6-hour eating window groups, compared with controls. However, measures of oxidative stress and inflammation decreased in both groups versus controls by approximately 35% (P < .05).

“These findings suggest that this form of severe time-restricted feeding is achievable and can help adults with obesity lose weight, without having to count calories,” Dr. Varady and colleagues conclude.
 

Is intermittent fasting better for weight loss than calorie restriction?

Ultimately, if weight loss is the primary goal, many want to know how time-restricted feeding compares with conventional daily calorie restriction.

Back in 2017, Dr. Varady published a year-long randomized, controlled study that compared alternate-day fasting with a calorie-restriction diet and a conventional/usual diet among 100 participants with obesity who were otherwise healthy.  

Participants on the alternate-day fasting plan (n = 34) consumed 500 calories on fasting days for the first 6 months for weight loss (approximately 25% of energy needs) followed by 125% of energy needs on alternating “feast days”. For an additional 6 months, they ate 1,000 calories on fasting days – aimed at weight maintenance.

Those following the calorie-restriction diet (n = 35) reduced energy intake by 25% (approximately 500 kcal) for the first 6 months for weight loss, followed by enough calories sufficient for weight maintenance (so no further loss nor gain).

However, the study showed alternate-day fasting did not produce better weight loss than conventional calorie counting.

“Over the first 6 months [during the weight-loss period] both groups lost an average of 6% body weight. After 12 months it crept back to 5% weight loss,” reported Dr. Varady.

“Realistically, if the study continued for 2 or 3 years, they probably would have regained much of their weight,” she admitted.

Dr. Varady suspects it might be better for the alternate-day fasting participants to continue eating only 500 calories on their fast day during the weight-loss maintenance period rather than increasing calorie intake during this phase.

Heart rate and blood pressure did not change in either group, while triglycerides decreased in the alternate-day fasting group, and LDL cholesterol decreased in the calorie-restriction group.

Glucose level decreased in the calorie-restriction group but not the alternate-day fasting group, and insulin and HOMA-IR were unaffected in both groups, reported Dr. Varady, noting that these findings were in healthy people with obesity.

In people with obesity and insulin resistance – evaluated as a subgroup in a separate study by Dr. Varady of alternate-day fasting versus daily calorie restriction published in 2019 – she noted that when insulin levels and HOMA-IR were measured, there was a greater reduction in both variables in the fasting group, compared with the calorie-restriction group.

“For people at risk of diabetes, maybe fasting produces more potent effects on glycemic control?” she ventured.
 

Who fares best with which fasting diets?

Summing up, Dr. Varady provided some practical pointers regarding who she feels is best suited to intermittent fasting and who should avoid it.

Those who binge eat, shift-workers, and frequent snackers do not do well with fasting, she said.

The first 10 days of intermittent fasting are rough, she pointed out, with the most common complaint being headaches.

“Eventually, people do feel an energy boost on fast days, and they say they concentrate better and have lots of energy. People won’t feel lethargic. Also, eating protein on fast days has been shown to keep hunger at bay.”

She cautiously concluded that weight loss with “alternate-day fasting” is quicker than some other methods, at 4.5-7 kg (10-15 lb) in 3 months, but is harder to follow and requires some calorie counting.

“In comparison, with time-restricted feeding, for which there have been very few ... studies to date, weight loss is slower at 2-4.5 kg (5-10 lb) in 3 months, but it is easier to follow and tolerable because you don’t need to count calories.”

Dr. Weiss has reported no relevant financial relationships. Dr. Varady has reported receiving author fees from Hachette for her book, “Every Other Day Diet.” (New York: Hachette, 2013)

A version of this article first appeared on Medscape.com.

Cardiologist Ethan J. Weiss, MD, followed an intermittent-fasting diet for 7 years. He lost about 3.6 kg (8 lb) and began recommending the approach to friends and patients who wanted to lose weight.

“I liked the way the diet was so simple,” said Dr. Weiss, an associate professor at the Cardiovascular Research Institute, University of California, San Francisco. But he also felt “it was too good to be true because you can eat what you want as long as it’s within a narrow window.”

So when, last year, he conducted a randomized, controlled trial, TREAT, testing such an approach – eating during just 8 hours a day, fasting for the remaining 16 hours – versus an eating plan of three meals a day without restrictions, he was somewhat dismayed to find the group of people who fasted didn’t lose any more weight than the other group.

The approach used in this study is known as time-restricted eating. It involves designating periods of time within the day when people can consume whatever they want; they then “fast” at times outside those eating windows. Other methods include alternate-day fasting, or the well-known 5:2 diet. In the latter, people eat a “normal” amount of around 2,000 calories per day on 5 days of the week, but for the other 2 days, they restrict caloric intake to 500 calories per day.

Intermittent fasting is an umbrella term encompassing all of these different approaches.

Dr. Weiss’s work builds on more than a decade of research into this type of eating plan by scientists, including Krista Varady, PhD, professor of nutrition at the University of Illinois at Chicago, who presented an overview of her own studies last fall at the virtual annual meeting of the European Association for the Study of Diabetes.

Although much of the work has suggested that the shorter duration of eating period in this type of diet leads to lower calorie intake and weight loss while avoiding the need for the tedious calorie-counting of conventional diets, Dr. Weiss’s data – published last year – throws a spanner in the works and now complicates the evidence base.
 

A promise of simplicity: ‘All you have to do is watch the clock’

Dr. Varady said she, too, is intrigued by the simplicity of intermittent-fasting diets.

In 2018, Dr. Varady and colleagues tested the weight-loss efficacy of 12 weeks of time-restricted feeding in a pilot study of 23 people with obesity.

Participants were permitted an 8-hour eating window (10 a.m. to 6 p.m.) followed by water-only fasting of 16 hours (6 p.m. to 10 a.m.) the next day (sometimes referred to as the 16:8 diet). Researchers measured weight loss and fat mass, as well as metabolic parameters, and compared the active group with 23 matched-control participants who ate freely.

There were no restrictions on type or quantity of food consumed by the control group during the 8-hour period, but individuals in the time-restricted feeding group consumed around 350 calories less than the comparator group.

Dr. Varady thinks this is most likely because of the fact that people normally eat during a 14-hour window and time-restricted feeding cuts that down by 6 hours.

“One of the most beautiful things about time-restricted feeding is that it doesn’t require calorie monitoring,” she explained. “People get burnt out with having to constantly monitor calories. All you have to do is watch the clock.”

Adherence was quite high, she reported, although most people skipped 1 day, often a Saturday, likely because of social engagements.

Weight loss in the time-restricted feeding group was mild to moderate. After 3 months, mean body weight decreased by 2.6%, or approximately 3 kg (7-8 lb), relative to those who ate freely, but this was a significant difference (P  < .05).

But the researchers observed little change in metabolic disease risk factors between the groups.

In the time-restricted feeding group, systolic blood pressure dropped from 128 mm Hg to 121 mm Hg over the 12-week period, which was significant relative to the control group (P  <  .05) but there were no significant changes in fasting glucose, fasting lipids, fasting insulin, or insulin resistance relative to the comparator group.

In contrast to Dr. Varady’s findings, Dr. Weiss’s randomized TREAT trial, which used a similar 16:8 period of time-restricted versus unrestricted eating in 116 individuals with overweight or obesity, did not find greater weight loss in the group restricted to eating within the 8-hour window.

As previously reported by this news organization, those who fasted for 16 hours of each day (n = 59) did lose some weight, compared with the control group (n = 57) over 12 weeks, but the difference in weight loss between the groups was not significant (−0.26 kg; P = .63).

And there were no significant differences in any of the secondary outcomes of fat mass, fasting insulin, fasting glucose, hemoglobin A1c levels, estimated energy intake, total energy expenditure, and resting energy expenditure between the time-restricted eating and regular feeding groups.

“I don’t claim time-restricted eating is dead,” Dr. Weiss said, “but the hope that you can eat for a limited time each day and solve metabolic disease is not there.”

Does the length of the eating window matter?

Following her pilot study of an 8-hour eating window, Dr. Varady conducted further research with 4- or 6-hour eating windows to see if even shorter periods would precipitate greater weight loss, ideally a clinically significant loss of 5% of body weight.

She ran a 2-month randomized, controlled study in people with obesity, published in 2020, which was the first to examine both a 4-hour (3 p.m. to 7 p.m.; n = 19) or 6-hour (1 p.m to 7 p.m.; n = 20) eating window versus a diet without any food restrictions as a control (n = 19) (Cell Metab. 2020;32:366-78.e3).

Dr. Varady explained that they decided to shift the eating window to later in the day for this trial (in contrast to the earlier 8-hour study) to allow people to eat dinner at a sociable time, and thereby hopefully reduce dropouts from the study. 

“Unlike with alternate-day fasting, most people find time-restricted feeding easy to incorporate into their lifestyles,” she remarked.

Both the 4- and 6-hour eating window groups experienced a mean 3.2% body weight loss, compared with controls, and this correlated with a 550-calorie reduction in their daily consumption, compared with their baseline calorie intake.

In terms of other outcomes – and in contrast to the 8-hour window study which showed very little changed other than a minor decrease in blood pressure – researchers saw some changes in metabolic risk factors with the 4- and 6-hour eating windows, Dr. Varady reported.

Compared with the control group, fasting insulin decreased in both time-restricted feeding groups by a mean of 15% (P < .05). Insulin resistance also decreased by 25% in the 4-hour group and by 15% in the 6-hour group, compared with the control group. Fasting glucose did not change in either group, however.

The researchers did not observe any effect on blood pressure or plasma lipids in the 4- or 6-hour eating window groups, compared with controls. However, measures of oxidative stress and inflammation decreased in both groups versus controls by approximately 35% (P < .05).

“These findings suggest that this form of severe time-restricted feeding is achievable and can help adults with obesity lose weight, without having to count calories,” Dr. Varady and colleagues conclude.
 

Is intermittent fasting better for weight loss than calorie restriction?

Ultimately, if weight loss is the primary goal, many want to know how time-restricted feeding compares with conventional daily calorie restriction.

Back in 2017, Dr. Varady published a year-long randomized, controlled study that compared alternate-day fasting with a calorie-restriction diet and a conventional/usual diet among 100 participants with obesity who were otherwise healthy.  

Participants on the alternate-day fasting plan (n = 34) consumed 500 calories on fasting days for the first 6 months for weight loss (approximately 25% of energy needs) followed by 125% of energy needs on alternating “feast days”. For an additional 6 months, they ate 1,000 calories on fasting days – aimed at weight maintenance.

Those following the calorie-restriction diet (n = 35) reduced energy intake by 25% (approximately 500 kcal) for the first 6 months for weight loss, followed by enough calories sufficient for weight maintenance (so no further loss nor gain).

However, the study showed alternate-day fasting did not produce better weight loss than conventional calorie counting.

“Over the first 6 months [during the weight-loss period] both groups lost an average of 6% body weight. After 12 months it crept back to 5% weight loss,” reported Dr. Varady.

“Realistically, if the study continued for 2 or 3 years, they probably would have regained much of their weight,” she admitted.

Dr. Varady suspects it might be better for the alternate-day fasting participants to continue eating only 500 calories on their fast day during the weight-loss maintenance period rather than increasing calorie intake during this phase.

Heart rate and blood pressure did not change in either group, while triglycerides decreased in the alternate-day fasting group, and LDL cholesterol decreased in the calorie-restriction group.

Glucose level decreased in the calorie-restriction group but not the alternate-day fasting group, and insulin and HOMA-IR were unaffected in both groups, reported Dr. Varady, noting that these findings were in healthy people with obesity.

In people with obesity and insulin resistance – evaluated as a subgroup in a separate study by Dr. Varady of alternate-day fasting versus daily calorie restriction published in 2019 – she noted that when insulin levels and HOMA-IR were measured, there was a greater reduction in both variables in the fasting group, compared with the calorie-restriction group.

“For people at risk of diabetes, maybe fasting produces more potent effects on glycemic control?” she ventured.
 

Who fares best with which fasting diets?

Summing up, Dr. Varady provided some practical pointers regarding who she feels is best suited to intermittent fasting and who should avoid it.

Those who binge eat, shift-workers, and frequent snackers do not do well with fasting, she said.

The first 10 days of intermittent fasting are rough, she pointed out, with the most common complaint being headaches.

“Eventually, people do feel an energy boost on fast days, and they say they concentrate better and have lots of energy. People won’t feel lethargic. Also, eating protein on fast days has been shown to keep hunger at bay.”

She cautiously concluded that weight loss with “alternate-day fasting” is quicker than some other methods, at 4.5-7 kg (10-15 lb) in 3 months, but is harder to follow and requires some calorie counting.

“In comparison, with time-restricted feeding, for which there have been very few ... studies to date, weight loss is slower at 2-4.5 kg (5-10 lb) in 3 months, but it is easier to follow and tolerable because you don’t need to count calories.”

Dr. Weiss has reported no relevant financial relationships. Dr. Varady has reported receiving author fees from Hachette for her book, “Every Other Day Diet.” (New York: Hachette, 2013)

A version of this article first appeared on Medscape.com.

Cardiologist Ethan J. Weiss, MD, followed an intermittent-fasting diet for 7 years. He lost about 3.6 kg (8 lb) and began recommending the approach to friends and patients who wanted to lose weight.

“I liked the way the diet was so simple,” said Dr. Weiss, an associate professor at the Cardiovascular Research Institute, University of California, San Francisco. But he also felt “it was too good to be true because you can eat what you want as long as it’s within a narrow window.”

So when, last year, he conducted a randomized, controlled trial, TREAT, testing such an approach – eating during just 8 hours a day, fasting for the remaining 16 hours – versus an eating plan of three meals a day without restrictions, he was somewhat dismayed to find the group of people who fasted didn’t lose any more weight than the other group.

The approach used in this study is known as time-restricted eating. It involves designating periods of time within the day when people can consume whatever they want; they then “fast” at times outside those eating windows. Other methods include alternate-day fasting, or the well-known 5:2 diet. In the latter, people eat a “normal” amount of around 2,000 calories per day on 5 days of the week, but for the other 2 days, they restrict caloric intake to 500 calories per day.

Intermittent fasting is an umbrella term encompassing all of these different approaches.

Dr. Weiss’s work builds on more than a decade of research into this type of eating plan by scientists, including Krista Varady, PhD, professor of nutrition at the University of Illinois at Chicago, who presented an overview of her own studies last fall at the virtual annual meeting of the European Association for the Study of Diabetes.

Although much of the work has suggested that the shorter duration of eating period in this type of diet leads to lower calorie intake and weight loss while avoiding the need for the tedious calorie-counting of conventional diets, Dr. Weiss’s data – published last year – throws a spanner in the works and now complicates the evidence base.
 

A promise of simplicity: ‘All you have to do is watch the clock’

Dr. Varady said she, too, is intrigued by the simplicity of intermittent-fasting diets.

In 2018, Dr. Varady and colleagues tested the weight-loss efficacy of 12 weeks of time-restricted feeding in a pilot study of 23 people with obesity.

Participants were permitted an 8-hour eating window (10 a.m. to 6 p.m.) followed by water-only fasting of 16 hours (6 p.m. to 10 a.m.) the next day (sometimes referred to as the 16:8 diet). Researchers measured weight loss and fat mass, as well as metabolic parameters, and compared the active group with 23 matched-control participants who ate freely.

There were no restrictions on type or quantity of food consumed by the control group during the 8-hour period, but individuals in the time-restricted feeding group consumed around 350 calories less than the comparator group.

Dr. Varady thinks this is most likely because of the fact that people normally eat during a 14-hour window and time-restricted feeding cuts that down by 6 hours.

“One of the most beautiful things about time-restricted feeding is that it doesn’t require calorie monitoring,” she explained. “People get burnt out with having to constantly monitor calories. All you have to do is watch the clock.”

Adherence was quite high, she reported, although most people skipped 1 day, often a Saturday, likely because of social engagements.

Weight loss in the time-restricted feeding group was mild to moderate. After 3 months, mean body weight decreased by 2.6%, or approximately 3 kg (7-8 lb), relative to those who ate freely, but this was a significant difference (P  < .05).

But the researchers observed little change in metabolic disease risk factors between the groups.

In the time-restricted feeding group, systolic blood pressure dropped from 128 mm Hg to 121 mm Hg over the 12-week period, which was significant relative to the control group (P  <  .05) but there were no significant changes in fasting glucose, fasting lipids, fasting insulin, or insulin resistance relative to the comparator group.

In contrast to Dr. Varady’s findings, Dr. Weiss’s randomized TREAT trial, which used a similar 16:8 period of time-restricted versus unrestricted eating in 116 individuals with overweight or obesity, did not find greater weight loss in the group restricted to eating within the 8-hour window.

As previously reported by this news organization, those who fasted for 16 hours of each day (n = 59) did lose some weight, compared with the control group (n = 57) over 12 weeks, but the difference in weight loss between the groups was not significant (−0.26 kg; P = .63).

And there were no significant differences in any of the secondary outcomes of fat mass, fasting insulin, fasting glucose, hemoglobin A1c levels, estimated energy intake, total energy expenditure, and resting energy expenditure between the time-restricted eating and regular feeding groups.

“I don’t claim time-restricted eating is dead,” Dr. Weiss said, “but the hope that you can eat for a limited time each day and solve metabolic disease is not there.”

Does the length of the eating window matter?

Following her pilot study of an 8-hour eating window, Dr. Varady conducted further research with 4- or 6-hour eating windows to see if even shorter periods would precipitate greater weight loss, ideally a clinically significant loss of 5% of body weight.

She ran a 2-month randomized, controlled study in people with obesity, published in 2020, which was the first to examine both a 4-hour (3 p.m. to 7 p.m.; n = 19) or 6-hour (1 p.m to 7 p.m.; n = 20) eating window versus a diet without any food restrictions as a control (n = 19) (Cell Metab. 2020;32:366-78.e3).

Dr. Varady explained that they decided to shift the eating window to later in the day for this trial (in contrast to the earlier 8-hour study) to allow people to eat dinner at a sociable time, and thereby hopefully reduce dropouts from the study. 

“Unlike with alternate-day fasting, most people find time-restricted feeding easy to incorporate into their lifestyles,” she remarked.

Both the 4- and 6-hour eating window groups experienced a mean 3.2% body weight loss, compared with controls, and this correlated with a 550-calorie reduction in their daily consumption, compared with their baseline calorie intake.

In terms of other outcomes – and in contrast to the 8-hour window study which showed very little changed other than a minor decrease in blood pressure – researchers saw some changes in metabolic risk factors with the 4- and 6-hour eating windows, Dr. Varady reported.

Compared with the control group, fasting insulin decreased in both time-restricted feeding groups by a mean of 15% (P < .05). Insulin resistance also decreased by 25% in the 4-hour group and by 15% in the 6-hour group, compared with the control group. Fasting glucose did not change in either group, however.

The researchers did not observe any effect on blood pressure or plasma lipids in the 4- or 6-hour eating window groups, compared with controls. However, measures of oxidative stress and inflammation decreased in both groups versus controls by approximately 35% (P < .05).

“These findings suggest that this form of severe time-restricted feeding is achievable and can help adults with obesity lose weight, without having to count calories,” Dr. Varady and colleagues conclude.
 

Is intermittent fasting better for weight loss than calorie restriction?

Ultimately, if weight loss is the primary goal, many want to know how time-restricted feeding compares with conventional daily calorie restriction.

Back in 2017, Dr. Varady published a year-long randomized, controlled study that compared alternate-day fasting with a calorie-restriction diet and a conventional/usual diet among 100 participants with obesity who were otherwise healthy.  

Participants on the alternate-day fasting plan (n = 34) consumed 500 calories on fasting days for the first 6 months for weight loss (approximately 25% of energy needs) followed by 125% of energy needs on alternating “feast days”. For an additional 6 months, they ate 1,000 calories on fasting days – aimed at weight maintenance.

Those following the calorie-restriction diet (n = 35) reduced energy intake by 25% (approximately 500 kcal) for the first 6 months for weight loss, followed by enough calories sufficient for weight maintenance (so no further loss nor gain).

However, the study showed alternate-day fasting did not produce better weight loss than conventional calorie counting.

“Over the first 6 months [during the weight-loss period] both groups lost an average of 6% body weight. After 12 months it crept back to 5% weight loss,” reported Dr. Varady.

“Realistically, if the study continued for 2 or 3 years, they probably would have regained much of their weight,” she admitted.

Dr. Varady suspects it might be better for the alternate-day fasting participants to continue eating only 500 calories on their fast day during the weight-loss maintenance period rather than increasing calorie intake during this phase.

Heart rate and blood pressure did not change in either group, while triglycerides decreased in the alternate-day fasting group, and LDL cholesterol decreased in the calorie-restriction group.

Glucose level decreased in the calorie-restriction group but not the alternate-day fasting group, and insulin and HOMA-IR were unaffected in both groups, reported Dr. Varady, noting that these findings were in healthy people with obesity.

In people with obesity and insulin resistance – evaluated as a subgroup in a separate study by Dr. Varady of alternate-day fasting versus daily calorie restriction published in 2019 – she noted that when insulin levels and HOMA-IR were measured, there was a greater reduction in both variables in the fasting group, compared with the calorie-restriction group.

“For people at risk of diabetes, maybe fasting produces more potent effects on glycemic control?” she ventured.
 

Who fares best with which fasting diets?

Summing up, Dr. Varady provided some practical pointers regarding who she feels is best suited to intermittent fasting and who should avoid it.

Those who binge eat, shift-workers, and frequent snackers do not do well with fasting, she said.

The first 10 days of intermittent fasting are rough, she pointed out, with the most common complaint being headaches.

“Eventually, people do feel an energy boost on fast days, and they say they concentrate better and have lots of energy. People won’t feel lethargic. Also, eating protein on fast days has been shown to keep hunger at bay.”

She cautiously concluded that weight loss with “alternate-day fasting” is quicker than some other methods, at 4.5-7 kg (10-15 lb) in 3 months, but is harder to follow and requires some calorie counting.

“In comparison, with time-restricted feeding, for which there have been very few ... studies to date, weight loss is slower at 2-4.5 kg (5-10 lb) in 3 months, but it is easier to follow and tolerable because you don’t need to count calories.”

Dr. Weiss has reported no relevant financial relationships. Dr. Varady has reported receiving author fees from Hachette for her book, “Every Other Day Diet.” (New York: Hachette, 2013)

A version of this article first appeared on Medscape.com.

In a recent New York Times opinion article, author Aubrey Gordon claims that since a visit to her pediatrician in fourth grade she has felt like an “enemy combatant in the nation’s war on childhood obesity.” (“Leave Fat Kids Alone,” Nov. 13, 2020).

At that unfortunate encounter, she recalls being told that “You’ll be thin and beautiful ... If you can just stay the same weight.” In retrospect she feels that the comment by her well-meaning but misguided physician “planted the seeds of depression” that have plagued her ever since.

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

In a recent New York Times opinion article, author Aubrey Gordon claims that since a visit to her pediatrician in fourth grade she has felt like an “enemy combatant in the nation’s war on childhood obesity.” (“Leave Fat Kids Alone,” Nov. 13, 2020).

At that unfortunate encounter, she recalls being told that “You’ll be thin and beautiful ... If you can just stay the same weight.” In retrospect she feels that the comment by her well-meaning but misguided physician “planted the seeds of depression” that have plagued her ever since.

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

In a recent New York Times opinion article, author Aubrey Gordon claims that since a visit to her pediatrician in fourth grade she has felt like an “enemy combatant in the nation’s war on childhood obesity.” (“Leave Fat Kids Alone,” Nov. 13, 2020).

At that unfortunate encounter, she recalls being told that “You’ll be thin and beautiful ... If you can just stay the same weight.” In retrospect she feels that the comment by her well-meaning but misguided physician “planted the seeds of depression” that have plagued her ever since.

Dr. Wilkoff practiced primary care pediatrics in Brunswick, Maine for nearly 40 years. He has authored several books on behavioral pediatrics, including “How to Say No to Your Toddler.” Other than a Littman stethoscope he accepted as a first-year medical student in 1966, Dr. Wilkoff reports having nothing to disclose. Email him at pdnews@mdedge.com.

People who have brown fat detected on imaging seem to be at reduced risk of cardiac and metabolic conditions, ranging from type 2 diabetes to hypertension and coronary artery disease, with a notably strong effect in people with obesity, according to a new study of more than 52,000 individuals who had PET/CT scans as part of cancer evaluation.

Although this has been studied for decades in newborns and animals, only in the past decade have scientists appreciated that some adults have brown fat, typically around the neck and shoulders.

The new study, by far the largest of its kind in humans, appears to confirm the health benefits of brown fat suggested by previous studies, Tobias Becher, MD, and colleagues from The Rockefeller University, New York, wrote in their article published online Jan. 4 in Nature Medicine.

“Our study indicates an important contribution of brown adipose tissue to cardiometabolic health and suggests ... [it] has therapeutic potential in humans,” they stated.

But Caroline M. Apovian, MD, Center for Weight Management and Wellness, Brigham and Women’s Hospital, Boston, is more cautious in her interpretation of the findings.

“It’s nice to see that what we believe about this is correct, and it’s great to see that with obesity and more brown fat there is reduced diabetes and hypertension, but it’s only an association,” she said in an interview.

“This is a good study, but I don’t think we have an understanding of exactly why some people have more brown fat than others, how white fat becomes brown fat, the role of therapeutics, or if it’s important to try to create more brown fat.

“We don’t know if it’s a matter of exercise or something like living in a colder environment, so we need to find out whether or not brown fat is, for instance, a genetic issue, and if it is, if there is a way to increase it in humans,” she added.

And the fact that the study included patients with or being screened for cancer is one of the most important limitations of the study, Dr. Apovian noted.
 

Brown fat detected in 10% of participants

Contrary to white fat, which stores energy, brown fat is thermogenic, activated by cold conditions, and instead burns energy. And although animal studies have shown a link between brown fat and improvements in glucose and lipid homeostasis, the effects of brown fat in humans are not well understood.

Dr. Becher and colleagues explained that large-scale studies of brown fat have been practically impossible because the tissue only shows up on medical imaging and it would be unethical to expose people to radiation just to study brown fat.  

But they realized that, across the street from their lab, many thousands of people visit Memorial Sloan Kettering Cancer Center each year to undergo PET/CT scans for cancer evaluation.

Because radiologists routinely take note when brown adipose tissue is detected to prevent its misinterpretation as a tumor, the information was readily available with the scan data.

“We realized this could be a valuable resource to get us started with looking at brown fat at a population scale,” Dr. Becher said in a press statement from The Rockefeller University.

So they reviewed 134,529 PET/CT scans from 52,487 individuals attending Memorial Sloan Kettering between June 2009 and March 2018 for indications ranging from cancer diagnosis to treatment or surveillance.

Participants were classified by the presence or absence of brown adipose tissue and researchers were able to use electronic health records to comprehensively examine associations between brown fat and rates of disease.

Overall, brown adipose tissue was identified in 5,070 (9.7%) of patients, with higher rates of brown fat among women than men (13.8% vs. 4.9%; P < .0001) and reduced rates with advancing age (P < .0001), as has been observed in previous studies.

The researchers noted, however, that this rate of around 10% of people having brown fat is likely an underestimate because the patients had been instructed to avoid cold exposure, exercise, and caffeine – all of which are thought to increase brown adipose tissue – prior to having their scans.
 

Does brown fat mitigate some harms of obesity?

Among those with brown fat, the rate of type 2 diabetes was 4.6% compared with 9.5% in those with no detected brown fat (P < .0001), and in a multivariate analysis, the odds ratio (OR) for type 2 diabetes in the presence of brown fat was 0.44.

The occurrence of coronary artery disease was significantly lower in those with brown fat (OR, 0.68; P = .0002), as was cerebrovascular disease (OR, 0.77; P = .0317), heart failure (OR, 0.62; P = .0043), and hypertension (OR, 0.85; P = .0014).

Brown fat also was associated with notable improvements in glucose, triglycerides, and HDL-C levels (all P < .0001), while no differences were seen in measures of LDL-Cs or total cholesterol.

Leukocyte and platelet counts were significantly decreased in individuals with brown fat (both P < .0001).

The findings “suggest potential roles for brown adipose beyond regulation of lipid and glucose metabolism,” the authors wrote.

Most notably, the effects were more pronounced in people with obesity. For example, the prevalence of type 2 diabetes in those with obesity and brown fat was less than half the rate in those with obesity without brown fat (7.5% vs. 20.3%; P < .0001).

This could indicate that brown adipose tissue “might play a role in mitigating the deleterious effects of obesity,” the researchers stated.

“Future research should aim to improve our understanding of brown adipose tissue regulation in humans and to develop mechanisms to safely modulate [its activity],” they concluded.

The study received funding from the American Diabetes Association, the Sinsheimer Foundation, and the National Center for Advancing Translational Sciences of the U.S. Department of Health & Human Services. The authors and Dr. Apovian have reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

People who have brown fat detected on imaging seem to be at reduced risk of cardiac and metabolic conditions, ranging from type 2 diabetes to hypertension and coronary artery disease, with a notably strong effect in people with obesity, according to a new study of more than 52,000 individuals who had PET/CT scans as part of cancer evaluation.

Although this has been studied for decades in newborns and animals, only in the past decade have scientists appreciated that some adults have brown fat, typically around the neck and shoulders.

The new study, by far the largest of its kind in humans, appears to confirm the health benefits of brown fat suggested by previous studies, Tobias Becher, MD, and colleagues from The Rockefeller University, New York, wrote in their article published online Jan. 4 in Nature Medicine.

“Our study indicates an important contribution of brown adipose tissue to cardiometabolic health and suggests ... [it] has therapeutic potential in humans,” they stated.

But Caroline M. Apovian, MD, Center for Weight Management and Wellness, Brigham and Women’s Hospital, Boston, is more cautious in her interpretation of the findings.

“It’s nice to see that what we believe about this is correct, and it’s great to see that with obesity and more brown fat there is reduced diabetes and hypertension, but it’s only an association,” she said in an interview.

“This is a good study, but I don’t think we have an understanding of exactly why some people have more brown fat than others, how white fat becomes brown fat, the role of therapeutics, or if it’s important to try to create more brown fat.

“We don’t know if it’s a matter of exercise or something like living in a colder environment, so we need to find out whether or not brown fat is, for instance, a genetic issue, and if it is, if there is a way to increase it in humans,” she added.

And the fact that the study included patients with or being screened for cancer is one of the most important limitations of the study, Dr. Apovian noted.
 

Brown fat detected in 10% of participants

Contrary to white fat, which stores energy, brown fat is thermogenic, activated by cold conditions, and instead burns energy. And although animal studies have shown a link between brown fat and improvements in glucose and lipid homeostasis, the effects of brown fat in humans are not well understood.

Dr. Becher and colleagues explained that large-scale studies of brown fat have been practically impossible because the tissue only shows up on medical imaging and it would be unethical to expose people to radiation just to study brown fat.  

But they realized that, across the street from their lab, many thousands of people visit Memorial Sloan Kettering Cancer Center each year to undergo PET/CT scans for cancer evaluation.

Because radiologists routinely take note when brown adipose tissue is detected to prevent its misinterpretation as a tumor, the information was readily available with the scan data.

“We realized this could be a valuable resource to get us started with looking at brown fat at a population scale,” Dr. Becher said in a press statement from The Rockefeller University.

So they reviewed 134,529 PET/CT scans from 52,487 individuals attending Memorial Sloan Kettering between June 2009 and March 2018 for indications ranging from cancer diagnosis to treatment or surveillance.

Participants were classified by the presence or absence of brown adipose tissue and researchers were able to use electronic health records to comprehensively examine associations between brown fat and rates of disease.

Overall, brown adipose tissue was identified in 5,070 (9.7%) of patients, with higher rates of brown fat among women than men (13.8% vs. 4.9%; P < .0001) and reduced rates with advancing age (P < .0001), as has been observed in previous studies.

The researchers noted, however, that this rate of around 10% of people having brown fat is likely an underestimate because the patients had been instructed to avoid cold exposure, exercise, and caffeine – all of which are thought to increase brown adipose tissue – prior to having their scans.
 

Does brown fat mitigate some harms of obesity?

Among those with brown fat, the rate of type 2 diabetes was 4.6% compared with 9.5% in those with no detected brown fat (P < .0001), and in a multivariate analysis, the odds ratio (OR) for type 2 diabetes in the presence of brown fat was 0.44.

The occurrence of coronary artery disease was significantly lower in those with brown fat (OR, 0.68; P = .0002), as was cerebrovascular disease (OR, 0.77; P = .0317), heart failure (OR, 0.62; P = .0043), and hypertension (OR, 0.85; P = .0014).

Brown fat also was associated with notable improvements in glucose, triglycerides, and HDL-C levels (all P < .0001), while no differences were seen in measures of LDL-Cs or total cholesterol.

Leukocyte and platelet counts were significantly decreased in individuals with brown fat (both P < .0001).

The findings “suggest potential roles for brown adipose beyond regulation of lipid and glucose metabolism,” the authors wrote.

Most notably, the effects were more pronounced in people with obesity. For example, the prevalence of type 2 diabetes in those with obesity and brown fat was less than half the rate in those with obesity without brown fat (7.5% vs. 20.3%; P < .0001).

This could indicate that brown adipose tissue “might play a role in mitigating the deleterious effects of obesity,” the researchers stated.

“Future research should aim to improve our understanding of brown adipose tissue regulation in humans and to develop mechanisms to safely modulate [its activity],” they concluded.

The study received funding from the American Diabetes Association, the Sinsheimer Foundation, and the National Center for Advancing Translational Sciences of the U.S. Department of Health & Human Services. The authors and Dr. Apovian have reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

People who have brown fat detected on imaging seem to be at reduced risk of cardiac and metabolic conditions, ranging from type 2 diabetes to hypertension and coronary artery disease, with a notably strong effect in people with obesity, according to a new study of more than 52,000 individuals who had PET/CT scans as part of cancer evaluation.

Although this has been studied for decades in newborns and animals, only in the past decade have scientists appreciated that some adults have brown fat, typically around the neck and shoulders.

The new study, by far the largest of its kind in humans, appears to confirm the health benefits of brown fat suggested by previous studies, Tobias Becher, MD, and colleagues from The Rockefeller University, New York, wrote in their article published online Jan. 4 in Nature Medicine.

“Our study indicates an important contribution of brown adipose tissue to cardiometabolic health and suggests ... [it] has therapeutic potential in humans,” they stated.

But Caroline M. Apovian, MD, Center for Weight Management and Wellness, Brigham and Women’s Hospital, Boston, is more cautious in her interpretation of the findings.

“It’s nice to see that what we believe about this is correct, and it’s great to see that with obesity and more brown fat there is reduced diabetes and hypertension, but it’s only an association,” she said in an interview.

“This is a good study, but I don’t think we have an understanding of exactly why some people have more brown fat than others, how white fat becomes brown fat, the role of therapeutics, or if it’s important to try to create more brown fat.

“We don’t know if it’s a matter of exercise or something like living in a colder environment, so we need to find out whether or not brown fat is, for instance, a genetic issue, and if it is, if there is a way to increase it in humans,” she added.

And the fact that the study included patients with or being screened for cancer is one of the most important limitations of the study, Dr. Apovian noted.
 

Brown fat detected in 10% of participants

Contrary to white fat, which stores energy, brown fat is thermogenic, activated by cold conditions, and instead burns energy. And although animal studies have shown a link between brown fat and improvements in glucose and lipid homeostasis, the effects of brown fat in humans are not well understood.

Dr. Becher and colleagues explained that large-scale studies of brown fat have been practically impossible because the tissue only shows up on medical imaging and it would be unethical to expose people to radiation just to study brown fat.  

But they realized that, across the street from their lab, many thousands of people visit Memorial Sloan Kettering Cancer Center each year to undergo PET/CT scans for cancer evaluation.

Because radiologists routinely take note when brown adipose tissue is detected to prevent its misinterpretation as a tumor, the information was readily available with the scan data.

“We realized this could be a valuable resource to get us started with looking at brown fat at a population scale,” Dr. Becher said in a press statement from The Rockefeller University.

So they reviewed 134,529 PET/CT scans from 52,487 individuals attending Memorial Sloan Kettering between June 2009 and March 2018 for indications ranging from cancer diagnosis to treatment or surveillance.

Participants were classified by the presence or absence of brown adipose tissue and researchers were able to use electronic health records to comprehensively examine associations between brown fat and rates of disease.

Overall, brown adipose tissue was identified in 5,070 (9.7%) of patients, with higher rates of brown fat among women than men (13.8% vs. 4.9%; P < .0001) and reduced rates with advancing age (P < .0001), as has been observed in previous studies.

The researchers noted, however, that this rate of around 10% of people having brown fat is likely an underestimate because the patients had been instructed to avoid cold exposure, exercise, and caffeine – all of which are thought to increase brown adipose tissue – prior to having their scans.
 

Does brown fat mitigate some harms of obesity?

Among those with brown fat, the rate of type 2 diabetes was 4.6% compared with 9.5% in those with no detected brown fat (P < .0001), and in a multivariate analysis, the odds ratio (OR) for type 2 diabetes in the presence of brown fat was 0.44.

The occurrence of coronary artery disease was significantly lower in those with brown fat (OR, 0.68; P = .0002), as was cerebrovascular disease (OR, 0.77; P = .0317), heart failure (OR, 0.62; P = .0043), and hypertension (OR, 0.85; P = .0014).

Brown fat also was associated with notable improvements in glucose, triglycerides, and HDL-C levels (all P < .0001), while no differences were seen in measures of LDL-Cs or total cholesterol.

Leukocyte and platelet counts were significantly decreased in individuals with brown fat (both P < .0001).

The findings “suggest potential roles for brown adipose beyond regulation of lipid and glucose metabolism,” the authors wrote.

Most notably, the effects were more pronounced in people with obesity. For example, the prevalence of type 2 diabetes in those with obesity and brown fat was less than half the rate in those with obesity without brown fat (7.5% vs. 20.3%; P < .0001).

This could indicate that brown adipose tissue “might play a role in mitigating the deleterious effects of obesity,” the researchers stated.

“Future research should aim to improve our understanding of brown adipose tissue regulation in humans and to develop mechanisms to safely modulate [its activity],” they concluded.

The study received funding from the American Diabetes Association, the Sinsheimer Foundation, and the National Center for Advancing Translational Sciences of the U.S. Department of Health & Human Services. The authors and Dr. Apovian have reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

For too long, eating disorders have been considered a disease that afflicted mostly affluent white teenage girls, but there really is no type for eating disorders, said Laurie L. Hornberger, MD, MPH, lead author of a new clinical report on eating disorders in children and adolescents prepared by the American Academy of Pediatrics Committee on Adolescence.

FatCamera/E+

In a separate interview with Pediatric News, Dr. Hornberger, associate professor of pediatrics, University of Missouri–Kansas City, explained that eating disorders occur across the spectrum of races, ethnicities, sexes, and socioeconomic statuses, so “getting caught up in that stereotype can cause you to overlook kids with significant problems.” Pediatricians are on the front line in identifying and referring eating disorders for treatment, which is crucial to earlier detection, intervention, and better outcomes, she said.

“Once you become familiar with the signs and symptoms of EDs [eating disorders] and actively start screening for them, you realize how common they are,” she noted, adding that pediatricians should be inquiring routinely about body image, attempts at weight management and what was involved in that weight management. Efforts to restrict calories, limit food choices/groups, exercise excessively, force vomiting, abuse laxatives, etc., are all signs. If the child/adolescent experiences guilt with eating, feels the need to compensate for their eating with exercise or purging, is preoccupied with thoughts of food or calorie counting, feels he/she has lost control of their eating, or experiences uncontrollable binges where they are unable to stop eating despite feeling full and wanting to stop, these are all further evidence of an eating disorder, she added.

There are also physical clues to alert pediatricians. Abrupt or sharp increases or decreases in weight, as measured in growth charts, should be monitored and questioned, Dr. Hornberger cautioned. Physicians should be careful to hold compliments on weight loss until learning how the weight loss was achieved. “Vital signs, such as a resting bradycardia and orthostatic tachycardia, can reflect malnutrition, as can other physical findings. Although lab screening is frequently normal, it should not, by itself, rule out an [eating disorder]. Pediatricians should also be aware of the signs and symptoms of medical instability in an [eating disorder] patient that warrant hospitalization for renourishment,” she explained.
 

Number of eating disorders increased in 2020

Current pandemic conditions have shown an uptick in the number of referrals and long wait lists for eating disorder centers, noted Dr. Hornberger. Having a formal eating disorder treatment program nearby is a luxury not all communities have, so being able to call upon primary care pediatricians to be an active part of a treatment team, which ideally includes a mental health provider and dietitian, both experienced in eating disorders, is pretty important. In coordination with the team, pediatricians are responsible for monitoring physical recovery and remaining alert for signs of struggle to recover and the need for a higher level of care.

In a separate interview with Pediatric News, Margaret Thew, DNP, FNP-BC, medical director of adolescent medicine at the Medical College of Wisconsin, Milwaukee, observed, “COVID-19 has created a surge of children and adolescents struggling with eating disorders. Eating disorder numbers have been associated with social media promoting the avoidance of COVID-19–related weight gain and influencers promoting thin body image. The abrupt end of face-to-face learning, sports participation, and generalized anxiety have further influenced mental health and disordered eating behaviors. Early in the pandemic, the true impact on the psychosocial well-being of children and teens was not known. We are only now seeing the impact months into this pandemic. The timeliness of the American Association of Pediatrics guidelines on the identification and management of children and teens presenting with an eating disorder is pivotal to recognition and treatment,” she said.

“I applaud the AAP for presenting timely guidelines on the evaluation and management of eating disorders for the general pediatrician, yet feel the authors fell short in recognizing the challenges of mitigating management of an eating disorder,” Ms. Thew added.

“Treatment of disordered eating requires all parties to accept the diagnosis and no longer support unhealthy eating patterns. The environment rationalizing the disordered eating may require changes to reduce behaviors and improve nutrition,” she cautioned.
 

New guidelines offer a range of diagnostic and treatment resources

In preparing the current report, the authors included the most recent definitions of eating disorders outlined in the “Diagnostic and Statistical Manual of Mental Disorders,” 5th Edition (DSM-5). Special attention was paid to four classifications of eating disorders in particular – anorexia nervosa (AN), avoidant/restrictive food intake disorder (ARFID); binge-eating disorder (BED); and bulimia nervosa (BN) – because so many disorders are subclassified under these.

Beyond providing a list of comprehensive definitions, the guidance reviews prevalence data for eating disorders, and provides detailed screening, assessment, and laboratory evaluation guidelines. Medical complications, including psychological, neurologic, dermatologic, dental and/or oral, cardiovascular, gastrointestinal, renal and electrolyte, and endocrine effects are discussed in detail as are treatment principles, financial considerations, and prognosis. Besides the important prevention and advocacy roles the authors identify for pediatricians, the guidelines highlight four key areas where pediatricians play a key role in the screening and management of eating disorders, as touched on previously by the guidance authors in this article.

In a separate AAP press release, Margo Lane, MD, coauthor of the report, noted, “As pediatricians, there is much we can also do outside the clinic to advocate for our patients, through legislation and policy that support services, including medical care, nutritional intervention, mental health treatment, and care coordination.” Physicians can also play an important role in reprograming familial and societal attitudes and behaviors by encouraging more positive language that deemphasizes weight and embraces and celebrates kids of all shapes and sizes, added Dr. Lane.

Dr. Hornberger and colleagues as well as Ms. Thew had no conflicts of interest and no relevant financial disclosures.

SOURCE: Pediatrics. 2021;147(1):e2020040279. doi: 10.1542/peds.2020-040279.

For too long, eating disorders have been considered a disease that afflicted mostly affluent white teenage girls, but there really is no type for eating disorders, said Laurie L. Hornberger, MD, MPH, lead author of a new clinical report on eating disorders in children and adolescents prepared by the American Academy of Pediatrics Committee on Adolescence.

FatCamera/E+

In a separate interview with Pediatric News, Dr. Hornberger, associate professor of pediatrics, University of Missouri–Kansas City, explained that eating disorders occur across the spectrum of races, ethnicities, sexes, and socioeconomic statuses, so “getting caught up in that stereotype can cause you to overlook kids with significant problems.” Pediatricians are on the front line in identifying and referring eating disorders for treatment, which is crucial to earlier detection, intervention, and better outcomes, she said.

“Once you become familiar with the signs and symptoms of EDs [eating disorders] and actively start screening for them, you realize how common they are,” she noted, adding that pediatricians should be inquiring routinely about body image, attempts at weight management and what was involved in that weight management. Efforts to restrict calories, limit food choices/groups, exercise excessively, force vomiting, abuse laxatives, etc., are all signs. If the child/adolescent experiences guilt with eating, feels the need to compensate for their eating with exercise or purging, is preoccupied with thoughts of food or calorie counting, feels he/she has lost control of their eating, or experiences uncontrollable binges where they are unable to stop eating despite feeling full and wanting to stop, these are all further evidence of an eating disorder, she added.

There are also physical clues to alert pediatricians. Abrupt or sharp increases or decreases in weight, as measured in growth charts, should be monitored and questioned, Dr. Hornberger cautioned. Physicians should be careful to hold compliments on weight loss until learning how the weight loss was achieved. “Vital signs, such as a resting bradycardia and orthostatic tachycardia, can reflect malnutrition, as can other physical findings. Although lab screening is frequently normal, it should not, by itself, rule out an [eating disorder]. Pediatricians should also be aware of the signs and symptoms of medical instability in an [eating disorder] patient that warrant hospitalization for renourishment,” she explained.
 

Number of eating disorders increased in 2020

Current pandemic conditions have shown an uptick in the number of referrals and long wait lists for eating disorder centers, noted Dr. Hornberger. Having a formal eating disorder treatment program nearby is a luxury not all communities have, so being able to call upon primary care pediatricians to be an active part of a treatment team, which ideally includes a mental health provider and dietitian, both experienced in eating disorders, is pretty important. In coordination with the team, pediatricians are responsible for monitoring physical recovery and remaining alert for signs of struggle to recover and the need for a higher level of care.

In a separate interview with Pediatric News, Margaret Thew, DNP, FNP-BC, medical director of adolescent medicine at the Medical College of Wisconsin, Milwaukee, observed, “COVID-19 has created a surge of children and adolescents struggling with eating disorders. Eating disorder numbers have been associated with social media promoting the avoidance of COVID-19–related weight gain and influencers promoting thin body image. The abrupt end of face-to-face learning, sports participation, and generalized anxiety have further influenced mental health and disordered eating behaviors. Early in the pandemic, the true impact on the psychosocial well-being of children and teens was not known. We are only now seeing the impact months into this pandemic. The timeliness of the American Association of Pediatrics guidelines on the identification and management of children and teens presenting with an eating disorder is pivotal to recognition and treatment,” she said.

“I applaud the AAP for presenting timely guidelines on the evaluation and management of eating disorders for the general pediatrician, yet feel the authors fell short in recognizing the challenges of mitigating management of an eating disorder,” Ms. Thew added.

“Treatment of disordered eating requires all parties to accept the diagnosis and no longer support unhealthy eating patterns. The environment rationalizing the disordered eating may require changes to reduce behaviors and improve nutrition,” she cautioned.
 

New guidelines offer a range of diagnostic and treatment resources

In preparing the current report, the authors included the most recent definitions of eating disorders outlined in the “Diagnostic and Statistical Manual of Mental Disorders,” 5th Edition (DSM-5). Special attention was paid to four classifications of eating disorders in particular – anorexia nervosa (AN), avoidant/restrictive food intake disorder (ARFID); binge-eating disorder (BED); and bulimia nervosa (BN) – because so many disorders are subclassified under these.

Beyond providing a list of comprehensive definitions, the guidance reviews prevalence data for eating disorders, and provides detailed screening, assessment, and laboratory evaluation guidelines. Medical complications, including psychological, neurologic, dermatologic, dental and/or oral, cardiovascular, gastrointestinal, renal and electrolyte, and endocrine effects are discussed in detail as are treatment principles, financial considerations, and prognosis. Besides the important prevention and advocacy roles the authors identify for pediatricians, the guidelines highlight four key areas where pediatricians play a key role in the screening and management of eating disorders, as touched on previously by the guidance authors in this article.

In a separate AAP press release, Margo Lane, MD, coauthor of the report, noted, “As pediatricians, there is much we can also do outside the clinic to advocate for our patients, through legislation and policy that support services, including medical care, nutritional intervention, mental health treatment, and care coordination.” Physicians can also play an important role in reprograming familial and societal attitudes and behaviors by encouraging more positive language that deemphasizes weight and embraces and celebrates kids of all shapes and sizes, added Dr. Lane.

Dr. Hornberger and colleagues as well as Ms. Thew had no conflicts of interest and no relevant financial disclosures.

SOURCE: Pediatrics. 2021;147(1):e2020040279. doi: 10.1542/peds.2020-040279.

For too long, eating disorders have been considered a disease that afflicted mostly affluent white teenage girls, but there really is no type for eating disorders, said Laurie L. Hornberger, MD, MPH, lead author of a new clinical report on eating disorders in children and adolescents prepared by the American Academy of Pediatrics Committee on Adolescence.

FatCamera/E+

In a separate interview with Pediatric News, Dr. Hornberger, associate professor of pediatrics, University of Missouri–Kansas City, explained that eating disorders occur across the spectrum of races, ethnicities, sexes, and socioeconomic statuses, so “getting caught up in that stereotype can cause you to overlook kids with significant problems.” Pediatricians are on the front line in identifying and referring eating disorders for treatment, which is crucial to earlier detection, intervention, and better outcomes, she said.

“Once you become familiar with the signs and symptoms of EDs [eating disorders] and actively start screening for them, you realize how common they are,” she noted, adding that pediatricians should be inquiring routinely about body image, attempts at weight management and what was involved in that weight management. Efforts to restrict calories, limit food choices/groups, exercise excessively, force vomiting, abuse laxatives, etc., are all signs. If the child/adolescent experiences guilt with eating, feels the need to compensate for their eating with exercise or purging, is preoccupied with thoughts of food or calorie counting, feels he/she has lost control of their eating, or experiences uncontrollable binges where they are unable to stop eating despite feeling full and wanting to stop, these are all further evidence of an eating disorder, she added.

There are also physical clues to alert pediatricians. Abrupt or sharp increases or decreases in weight, as measured in growth charts, should be monitored and questioned, Dr. Hornberger cautioned. Physicians should be careful to hold compliments on weight loss until learning how the weight loss was achieved. “Vital signs, such as a resting bradycardia and orthostatic tachycardia, can reflect malnutrition, as can other physical findings. Although lab screening is frequently normal, it should not, by itself, rule out an [eating disorder]. Pediatricians should also be aware of the signs and symptoms of medical instability in an [eating disorder] patient that warrant hospitalization for renourishment,” she explained.
 

Number of eating disorders increased in 2020

Current pandemic conditions have shown an uptick in the number of referrals and long wait lists for eating disorder centers, noted Dr. Hornberger. Having a formal eating disorder treatment program nearby is a luxury not all communities have, so being able to call upon primary care pediatricians to be an active part of a treatment team, which ideally includes a mental health provider and dietitian, both experienced in eating disorders, is pretty important. In coordination with the team, pediatricians are responsible for monitoring physical recovery and remaining alert for signs of struggle to recover and the need for a higher level of care.

In a separate interview with Pediatric News, Margaret Thew, DNP, FNP-BC, medical director of adolescent medicine at the Medical College of Wisconsin, Milwaukee, observed, “COVID-19 has created a surge of children and adolescents struggling with eating disorders. Eating disorder numbers have been associated with social media promoting the avoidance of COVID-19–related weight gain and influencers promoting thin body image. The abrupt end of face-to-face learning, sports participation, and generalized anxiety have further influenced mental health and disordered eating behaviors. Early in the pandemic, the true impact on the psychosocial well-being of children and teens was not known. We are only now seeing the impact months into this pandemic. The timeliness of the American Association of Pediatrics guidelines on the identification and management of children and teens presenting with an eating disorder is pivotal to recognition and treatment,” she said.

“I applaud the AAP for presenting timely guidelines on the evaluation and management of eating disorders for the general pediatrician, yet feel the authors fell short in recognizing the challenges of mitigating management of an eating disorder,” Ms. Thew added.

“Treatment of disordered eating requires all parties to accept the diagnosis and no longer support unhealthy eating patterns. The environment rationalizing the disordered eating may require changes to reduce behaviors and improve nutrition,” she cautioned.
 

New guidelines offer a range of diagnostic and treatment resources

In preparing the current report, the authors included the most recent definitions of eating disorders outlined in the “Diagnostic and Statistical Manual of Mental Disorders,” 5th Edition (DSM-5). Special attention was paid to four classifications of eating disorders in particular – anorexia nervosa (AN), avoidant/restrictive food intake disorder (ARFID); binge-eating disorder (BED); and bulimia nervosa (BN) – because so many disorders are subclassified under these.

Beyond providing a list of comprehensive definitions, the guidance reviews prevalence data for eating disorders, and provides detailed screening, assessment, and laboratory evaluation guidelines. Medical complications, including psychological, neurologic, dermatologic, dental and/or oral, cardiovascular, gastrointestinal, renal and electrolyte, and endocrine effects are discussed in detail as are treatment principles, financial considerations, and prognosis. Besides the important prevention and advocacy roles the authors identify for pediatricians, the guidelines highlight four key areas where pediatricians play a key role in the screening and management of eating disorders, as touched on previously by the guidance authors in this article.

In a separate AAP press release, Margo Lane, MD, coauthor of the report, noted, “As pediatricians, there is much we can also do outside the clinic to advocate for our patients, through legislation and policy that support services, including medical care, nutritional intervention, mental health treatment, and care coordination.” Physicians can also play an important role in reprograming familial and societal attitudes and behaviors by encouraging more positive language that deemphasizes weight and embraces and celebrates kids of all shapes and sizes, added Dr. Lane.

Dr. Hornberger and colleagues as well as Ms. Thew had no conflicts of interest and no relevant financial disclosures.

SOURCE: Pediatrics. 2021;147(1):e2020040279. doi: 10.1542/peds.2020-040279.

Obese women may benefit from a higher dose of magnesium sulfate to protect against preeclampsia, based on data from a randomized trial.

Pharmacokinetic models have shown that, “in women who received a 4-g intravenous loading dose followed by a 2-g/h IV maintenance dose, obese women took approximately twice as long as women of mean body weight in the sample to achieve these previously accepted therapeutic serum magnesium concentrations,” which suggests the need for alternate dosing based on body mass index, wrote Kathleen F. Brookfield, MD, of Oregon Health & Science University, Portland, and colleagues.

In a study published in Obstetrics & Gynecology, the researchers randomized 37 women aged 15-45 years with a BMI of 35 kg/m² or higher who were at least 32 weeks’ gestation to receive the standard Zuspan regimen of magnesium sulfate (4 g intravenous loading dose, followed by a 1-g/hour infusion) or to higher dosing (6 g IV loading dose, followed by a 2-g/hour infusion).
 

Higher dose increases effectiveness

Serum magnesium concentrations were measured at baseline, and after administration of magnesium sulfate at 1 hour, 4 hours, and delivery; the primary outcome was the proportion of women with subtherapeutic serum magnesium concentrations (less than 4.8 mg/dL) 4 hours after administration.

After 4 hours, the average magnesium sulfate concentrations were significantly higher for women in the high-dose group vs. the standard group (4.41 mg/dL vs. 3.53 mg/dL). In addition, 100% of women in the standard group had subtherapeutic serum magnesium concentrations compared with 63% of the high-dose group.

No significant differences in maternal side effects or neonatal outcomes occurred between the groups. However, rates of nausea and flushing were higher in the higher dose group, compared with the standard group (10.5% vs. 5.5% and 5.2% vs. 0%, respectively).

The study findings were limited by several factors including the lack of statistical power to evaluate clinical outcomes and lack of generalizability to extremely obese patients, as well as to settings in which the higher-dose regimen is already the standard treatment, the researchers noted. However, the results were strengthened by the use of prospective pharmacokinetic data to determine dosing.

The researchers also noted that the study was not powered to examine preeclampsia as an outcome “and there is no evidence to date to suggest women in the United States with higher BMIs are more likely to experience eclampsia,” they said. “Therefore, we caution against universally applying the study findings to obese women without also considering the potential for increased toxicity with higher dosing regimens,” they added.

Current results may not affect practice

The study objectives are unclear, as they do not change the dosing for magnesium sulfate already in use, said Baha M. Sibai, MD, of the University of Texas Health Science Center at Houston, in an interview.

Dr. Sibai said he was not surprised by the findings. “This information has been known for almost 30 years as to serum levels with different dosing irrespective of BMI,” he said. Based on current evidence, Dr. Sibai advised clinicians “not to change your practice, since there are no therapeutic levels for preventing seizures.” In fact, “the largest trial that included 10,000 women showed no difference in the rate of eclampsia between 4 grams loading with 1 g/hour [magnesium sulfate] and 6 g loading and 2 g/hour,” he explained.

Future research should focus on different outcomes, said Dr. Sibai. “The outcome should be eclampsia and not serum levels. This requires studying over 6,000 women,” he emphasized.

The study was supported by the National Institutes of Health Loan Repayment Program and a Mission Support Award from Oregon Health & Science University to Dr. Brookfield and by the Oregon Clinical & Translational Research Institute grant. Dr. Brookfield also disclosed funding from the World Health Organization. Dr. Sibai had no financial conflicts to disclose.

SOURCE: Brookfield KF et al. Obstet Gynecol. 2020 Dec. doi: 10.1097/AOG.0000000000004137.

Obese women may benefit from a higher dose of magnesium sulfate to protect against preeclampsia, based on data from a randomized trial.

Pharmacokinetic models have shown that, “in women who received a 4-g intravenous loading dose followed by a 2-g/h IV maintenance dose, obese women took approximately twice as long as women of mean body weight in the sample to achieve these previously accepted therapeutic serum magnesium concentrations,” which suggests the need for alternate dosing based on body mass index, wrote Kathleen F. Brookfield, MD, of Oregon Health & Science University, Portland, and colleagues.

In a study published in Obstetrics & Gynecology, the researchers randomized 37 women aged 15-45 years with a BMI of 35 kg/m² or higher who were at least 32 weeks’ gestation to receive the standard Zuspan regimen of magnesium sulfate (4 g intravenous loading dose, followed by a 1-g/hour infusion) or to higher dosing (6 g IV loading dose, followed by a 2-g/hour infusion).
 

Higher dose increases effectiveness

Serum magnesium concentrations were measured at baseline, and after administration of magnesium sulfate at 1 hour, 4 hours, and delivery; the primary outcome was the proportion of women with subtherapeutic serum magnesium concentrations (less than 4.8 mg/dL) 4 hours after administration.

After 4 hours, the average magnesium sulfate concentrations were significantly higher for women in the high-dose group vs. the standard group (4.41 mg/dL vs. 3.53 mg/dL). In addition, 100% of women in the standard group had subtherapeutic serum magnesium concentrations compared with 63% of the high-dose group.

No significant differences in maternal side effects or neonatal outcomes occurred between the groups. However, rates of nausea and flushing were higher in the higher dose group, compared with the standard group (10.5% vs. 5.5% and 5.2% vs. 0%, respectively).

The study findings were limited by several factors including the lack of statistical power to evaluate clinical outcomes and lack of generalizability to extremely obese patients, as well as to settings in which the higher-dose regimen is already the standard treatment, the researchers noted. However, the results were strengthened by the use of prospective pharmacokinetic data to determine dosing.

The researchers also noted that the study was not powered to examine preeclampsia as an outcome “and there is no evidence to date to suggest women in the United States with higher BMIs are more likely to experience eclampsia,” they said. “Therefore, we caution against universally applying the study findings to obese women without also considering the potential for increased toxicity with higher dosing regimens,” they added.

Current results may not affect practice

The study objectives are unclear, as they do not change the dosing for magnesium sulfate already in use, said Baha M. Sibai, MD, of the University of Texas Health Science Center at Houston, in an interview.

Dr. Sibai said he was not surprised by the findings. “This information has been known for almost 30 years as to serum levels with different dosing irrespective of BMI,” he said. Based on current evidence, Dr. Sibai advised clinicians “not to change your practice, since there are no therapeutic levels for preventing seizures.” In fact, “the largest trial that included 10,000 women showed no difference in the rate of eclampsia between 4 grams loading with 1 g/hour [magnesium sulfate] and 6 g loading and 2 g/hour,” he explained.

Future research should focus on different outcomes, said Dr. Sibai. “The outcome should be eclampsia and not serum levels. This requires studying over 6,000 women,” he emphasized.

The study was supported by the National Institutes of Health Loan Repayment Program and a Mission Support Award from Oregon Health & Science University to Dr. Brookfield and by the Oregon Clinical & Translational Research Institute grant. Dr. Brookfield also disclosed funding from the World Health Organization. Dr. Sibai had no financial conflicts to disclose.

SOURCE: Brookfield KF et al. Obstet Gynecol. 2020 Dec. doi: 10.1097/AOG.0000000000004137.

Obese women may benefit from a higher dose of magnesium sulfate to protect against preeclampsia, based on data from a randomized trial.

Pharmacokinetic models have shown that, “in women who received a 4-g intravenous loading dose followed by a 2-g/h IV maintenance dose, obese women took approximately twice as long as women of mean body weight in the sample to achieve these previously accepted therapeutic serum magnesium concentrations,” which suggests the need for alternate dosing based on body mass index, wrote Kathleen F. Brookfield, MD, of Oregon Health & Science University, Portland, and colleagues.

In a study published in Obstetrics & Gynecology, the researchers randomized 37 women aged 15-45 years with a BMI of 35 kg/m² or higher who were at least 32 weeks’ gestation to receive the standard Zuspan regimen of magnesium sulfate (4 g intravenous loading dose, followed by a 1-g/hour infusion) or to higher dosing (6 g IV loading dose, followed by a 2-g/hour infusion).
 

Higher dose increases effectiveness

Serum magnesium concentrations were measured at baseline, and after administration of magnesium sulfate at 1 hour, 4 hours, and delivery; the primary outcome was the proportion of women with subtherapeutic serum magnesium concentrations (less than 4.8 mg/dL) 4 hours after administration.

After 4 hours, the average magnesium sulfate concentrations were significantly higher for women in the high-dose group vs. the standard group (4.41 mg/dL vs. 3.53 mg/dL). In addition, 100% of women in the standard group had subtherapeutic serum magnesium concentrations compared with 63% of the high-dose group.

No significant differences in maternal side effects or neonatal outcomes occurred between the groups. However, rates of nausea and flushing were higher in the higher dose group, compared with the standard group (10.5% vs. 5.5% and 5.2% vs. 0%, respectively).

The study findings were limited by several factors including the lack of statistical power to evaluate clinical outcomes and lack of generalizability to extremely obese patients, as well as to settings in which the higher-dose regimen is already the standard treatment, the researchers noted. However, the results were strengthened by the use of prospective pharmacokinetic data to determine dosing.

The researchers also noted that the study was not powered to examine preeclampsia as an outcome “and there is no evidence to date to suggest women in the United States with higher BMIs are more likely to experience eclampsia,” they said. “Therefore, we caution against universally applying the study findings to obese women without also considering the potential for increased toxicity with higher dosing regimens,” they added.

Current results may not affect practice

The study objectives are unclear, as they do not change the dosing for magnesium sulfate already in use, said Baha M. Sibai, MD, of the University of Texas Health Science Center at Houston, in an interview.

Dr. Sibai said he was not surprised by the findings. “This information has been known for almost 30 years as to serum levels with different dosing irrespective of BMI,” he said. Based on current evidence, Dr. Sibai advised clinicians “not to change your practice, since there are no therapeutic levels for preventing seizures.” In fact, “the largest trial that included 10,000 women showed no difference in the rate of eclampsia between 4 grams loading with 1 g/hour [magnesium sulfate] and 6 g loading and 2 g/hour,” he explained.

Future research should focus on different outcomes, said Dr. Sibai. “The outcome should be eclampsia and not serum levels. This requires studying over 6,000 women,” he emphasized.

The study was supported by the National Institutes of Health Loan Repayment Program and a Mission Support Award from Oregon Health & Science University to Dr. Brookfield and by the Oregon Clinical & Translational Research Institute grant. Dr. Brookfield also disclosed funding from the World Health Organization. Dr. Sibai had no financial conflicts to disclose.

SOURCE: Brookfield KF et al. Obstet Gynecol. 2020 Dec. doi: 10.1097/AOG.0000000000004137.