Longitudinal Dynamic in Weight Loss Impacts Clinical Outcomes for Veterans Undergoing Curative Surgery for Colorectal Cancer

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In patients with gastrointestinal (GI) malignancies, malnutrition is common. In addition, it has various negative implications, including high risk for surgical complications, prolonged hospitalization, decreased quality of life (QOL), increased mortality, and poor tolerance for treatments such as chemotherapy and radiotherapy.1

A 2014 French study of 1903 patients hospitalized for cancer reported a 39% overall prevalence of malnutrition; 39% in patients with cancers of the colon/rectum, 60% for pancreatic cancer, and 67% for cancers of the esophagus/stomach.2 Malnutrition was defined as body mass index (BMI) < 18.5 for individuals aged < 75 years or BMI < 21 for individuals aged ≥ 75 years, and/or weight loss > 10% since disease onset. Malnutrition also was strongly associated with worsened performance status.

The etiology of malnutrition in GI cancers is often multifactorial. It includes systemic tumor effects, such as inflammatory mediators contributing to hypermetabolism and cachexia, local tumor-associated mechanical obstruction, GI toxicities caused by antineoplastic therapy or other medications, and psychological factors that contribute to anorexia.3 Patient-related risk factors such as older age, other chronic diseases, and history of other GI surgeries also play a role.1

Other studies have demonstrated that malnutrition in patients with GI malignancies undergoing surgical resection is associated with high rates of severe postoperative complications, increased length of stay (LOS) and time on a ventilator for patients treated in the intensive care unit, and poor QOL in the postoperative survival period.4-6 Several randomized controlled trials conducted in patients with GI cancers have shown that enteral and parenteral nutrition supplementations in the perioperative period improve various outcomes, such as reduction of postoperative complication rates, fewer readmissions, improved chemotherapy tolerance, and improved QOL.7-10 Thus, in the management of patients with GI malignancies, it is highly important to implement early nutritional screening and establish a diagnosis of malnutrition to intervene and reduce postoperative morbidity and mortality.1

However, tools and predictors of malnutrition are often imperfect. The Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition (AND/ASPEN) weight-based criteria define malnutrition and nutritionally-at-risk as BMI < 18.5, involuntary loss of at least 10% of body weight within 6 months or 5% within 1 month, or loss of 10 lb within 6 months.11 While the ASPEN criteria are often used to define malnourishment, they may not fully capture the population at risk, and there does not exist a gold-standard tool for nutritional screening. A 2002 study that performed a critical appraisal of 44 nutritional screening tools found that no single tool was fully sufficient for application, development, evaluation, and consistent screening.12 As such, consistently screening for malnutrition to target interventions in the perioperative period for GI surgical oncology has been challenging.13 More recent tools such as the perioperative nutrition screen (PONS) have been validated as rapid, effective screening tools to predict postoperative outcomes.14 Additionally, implementation of perioperative nutritional protocols, such as enhanced recovery after surgery (ERAS) in colon cancer (CC) surgery, also has shown improved perioperative care and outcomes.15

Preoperative nutritional interventions have been implemented in practice and have focused mostly on the immediate perioperative period. This has been shown to improve surgical outcomes. The Veterans Health Administration (VHA) provides comprehensive care to patients in a single-payer system, allowing for capture of perioperative data and the opportunity for focused preoperative interventions to improve outcomes.

 

 

Methods

This was a retrospective record review of colorectal malignancies treated with curative intent at the Veterans Affairs Ann Arbor Healthcare System (VAAAHS) in Michigan between January 1, 2015, and December 31, 2019. We examined nutritional status, degree of longitudinal weight loss, and subsequent clinical outcomes, including delayed postoperative recovery and delays in chemotherapy in 115 patients with CC and 33 patients with rectal cancer (RC) undergoing curative surgical resection at VAAAHS. To avoid additional confounding effects of advanced cancer, only early-stage, curable disease was included. This study was approved by the VAAAHS Institutional Review Board.

figure
Patient cases were identified in the VAAAHS cancer registry, which included 115 patients with colon primary tumors and 33 patients with rectal tumors. According to the VAAAHS standard of care, patients with CC did not require neoadjuvant therapy while patients with RC cohort did (Figure). The CC cohort was defined as patients who had an adenocarcinoma, mucinous adenocarcinoma, or carcinoid tumor of the colon or rectosigmoid junction. These patients did not receive neoadjuvant therapy and underwent curative-intent surgical resection of their tumor. The RC cohort was defined as patients who had adenocarcinoma, mucinous adenocarcinoma, or signet ring cell carcinoma of the rectum. These patients received neoadjuvant chemoradiation followed by curative-intent surgical resection of their tumor.

Patients with postoperative follow-up outside of VAAAHS were excluded. Patients were excluded if their surgery had noncurative intent or if they had distant metastatic disease. Data on patient weights, laboratory results, nutrition consultations, postoperative complications, delayed recovery, readmissions, and chemotherapy tolerance were abstracted by patient chart review in the VHA Computerized Patient Record System and Joint Legacy Viewer by 2 researchers.

Delayed recovery was defined as any abnormal clinical development described in inpatient progress notes, outpatient follow-up notes within 60 days, or in hospital discharge summaries. Excluded were psychiatric events without additional medical complications, postoperative bleeding not requiring an invasive intervention, urinary retention, postoperative glycemic control difficulties, cardiac events that happened before postoperative hospital discharge and not requiring readmission, and postoperative alcohol withdrawal. Complications were defined similarly to delayed recovery but excluded isolated prolonged postoperative ileus. LOS was defined in days as time from admission to discharge.

Adjuvant management course was derived from reviewing documentation from medical oncology consultations and progress notes. In patients for whom adjuvant chemotherapy was indicated and prescribed, chemotherapy was considered complete if chemotherapy was started and completed as indicated. Adjuvant chemotherapy was considered incomplete if the patient declined chemotherapy, if chemotherapy was not started when indicated, or if chemotherapy was not completed as indicated. Neoadjuvant therapy data were abstracted from medical and radiation oncology notes.

Recorded data were collected on both weight and BMI. Weights were extracted as follows: Weight 1 year before time of diagnosis, ± 4 months; weight 6 months before diagnosis ± 3 months; weight at time of diagnosis ± 2 weeks; weight at time of surgery ± 2 weeks; weight 30 days postsurgery ± 2 weeks; weight 60 days postsurgery ± 2 weeks; weight 1 year postsurgery ± 4 months. Mean percent change in weight was calculated from recorded weights between each allocated time point. A weight loss of ≥ 3% was found to be clinically relevant and was chosen as the minimal cutoff value when analyzing outcomes associated with weight trends.

Nutrition consultations were abstracted as follows: Preoperative nutrition consultations were defined as occurring between time of cancer diagnosis and surgery in either the inpatient or outpatient setting; inpatient postoperative nutrition consultations occurred during admission for surgery; readmission nutrition consultations occurred on readmission in inpatient setting, if applicable; outpatient postoperative nutrition consultations were defined as occurring up to 2 months postdischarge in the outpatient setting.

Albumin values were extracted as follows: Preoperative albumin levels were defined as up to 4 months prior to diagnosis, and postoperative albumin levels were defined as 2 to 6 months after surgery.

 

 

Analysis

The data were described using mean (SD) for continuous variables and number and percentages for categorical variables. Where appropriate, Fisher exact test, Pearson χ2 test, Spearman ρ, and Mann-Whitney U test were used for tests of significance. SAS (SAS Institute) was utilized for multivariable analysis. The significance level was P = .05 for all tests.

Results

There were 115 patients in the CC cohort and 33 in the RC cohort. The mean (SD) age at diagnosis was 70 (9.1) for CC group and 59 (1.4) for RC group (Table 1). 

table 1
For the CC and RC cohorts, the mean (SD) pathologic tumor stage was 2.3 (0.8) and 1.6 (1.2), respectively; the mean (SD) nodal stages was 0.4 (0.7) for both groups. Most patients (84 [73%] in the CC cohort and 29 [88%] in the RC cohort) had at least 1 recorded comorbidity (ie, diabetes mellitus, peripheral arterial disease, coronary artery disease, or history of cerebral vascular accident/transient ischemic attack). Malnutrition as determined by BMI criteria was not highly prevalent in the patient cohort. At time of diagnosis, none of the patients were underweight (BMI < 18.5); 24 patients with CC (27%) and 5 patients with RC (15%) were overweight (BMI 25.0-29.9); and 43 patients with CC (48%) and 15 patients with RC (45%) were obese (BMI ≥ 30). CC and RC cohorts had a mean preoperative albumin of 3.71 and 3.60, respectively. Low preoperative albumin (< 3.5), was present in 25 patients with CC (22%) and in 11 patients with RC (33%).

Weight Trends

Table 2
At time of diagnosis, the mean (SD) BMI was 29.9 (7.1) for the CC group and 30.9 (7.4) for the RC group. The mean (SD) time in days from diagnosis to the date of surgery for the CC group was 43.9 (26.8) and 172.1 (39.1) for the RC group. Mean changes in BMI ranged from -7.0% to +4.9% (Table 2).

From 1 year to 6 months before diagnosis, 40 of 80 patients lost weight in the CC cohort (mean change, +1.9%) and 6 of 22 patients lost weight in the RC cohort (mean change, + 0.5%). From 6 months before diagnosis to time of diagnosis, 47 of 74 patients lost weight in the CC cohort (mean change, -1.5%) and 14 of 21 patients lost weight in the RC cohort (mean change, -2.5%). From time of diagnosis to time of surgery, 36 of 104 patients with CC and 14 of 32 patients with RC lost weight with a mean weight change of and +0.1% and -0.3%, respectively. In the 6 months before surgery, any amount of weight loss was observed in 58 patients (66%) in the CC group and in 12 patients (57%) in the RC group. In this time frame, in the CC cohort, 32 patients (36%) were observed to have at least 3% weight loss, and 23 (26%) were observed to have at least 5% weight loss (Table 3). 

Table 3
In the 6 months before surgery, 20 of 88 patients (23%) in the CC cohort lost ≥ 10 lb.

In patients who completed adjuvant chemotherapy in the CC group, mean (SD) BMI at the beginning and end of chemotherapy was 32.6 (8.6) and 33.1 (8.7), respectively, and a -0.3% mean change in weight was observed. In the RC group, mean (SD) BMI was 28.2 (5.0) at the initiation of adjuvant chemotherapy and 28.4 (5.0) at its completion, with a +2.6% mean change in weight.

In the immediate postoperative period, most patients were losing weight in both the CC and RC groups (mean, -3.5% and -7.0% at 1 month postoperative, respectively). At 1-year after surgery, patients had modest mean increases in weight: +1.3% for patients with CC and +4.9% for patients with RC.

A relatively large proportion of patients had missing data on weights at various data points (Table 4). 
Table 4
Preoperative weight trends were hampered by this limitation. Of the 115 patients, only 62 (54%) had data available to evaluate weight dynamics from 1 year prior to time of diagnosis, 74 (64%) from 6 months prior to diagnosis, and 73 (63%) for 1 year prior to time of surgery. The trend from 6 months pre-diagnosis until the time of surgery allowed for the most complete analysis: Data were available for 88 of 115 patients (77%). Data were missing in 33 patients with RC as well; thus, data analysis is focused on the CC cohort.

 

 

Nutrition Consultations

In the CC group, preoperative nutrition consultations (either inpatient or outpatient) occurred in 17 patients (15%). Inpatient postoperative nutrition evaluations occurred in 110 patients (96%) (Table 5). 

Table 5
  Of these inpatient postoperative consultations, either oral or enteral nutritional supplements were prescribed 26 times (24%). Patients had a postoperative outpatient nutrition follow-up within 2 months postdischarge in only 14 cases (12%). Of 15 patients who were readmitted to the hospital, 11 (69%) had a nutrition reconsultation on readmission.

In the RC group, preoperative inpatient or outpatient nutrition consultations occurred in 12 patients (36%). Eight of those occurred before initiation of neoadjuvant chemoradiotherapy. All 33 patients received an inpatient postoperative nutrition evaluation during admission. Oral or enteral nutrition supplements were prescribed 19 times (58%). Postoperative outpatient nutrition consultations occurred for 24 patients (73%). Of the 19 patients who were readmitted to the hospital, 3 (16%) had a nutrition reconsultation on readmission.

Outcomes

The primary outcomes observed were delayed recovery, hospital readmission and LOS, and completion of adjuvant chemotherapy as indicated. Delayed recovery was observed in 35 patients with CC (40%) and 21 patients with RC (64%). Multivariable analysis in the CC cohort demonstrated that weight change was significantly associated with delayed recovery. Among those with ≥ 3% weight loss in the 6-month preoperative period (the weight measurement 6 months prior to diagnosis to date of surgery), 20 patients (63%) had delayed recovery compared with 15 patients (27%) without ≥ 3% weight loss who experienced delayed recovery (χ2 = 10.84; P < .001).

Weight loss of ≥ 3% in the 6-month preoperative period also was significantly associated with complications. Of patients with at least 3% preoperative weight loss, 16 (50%) experienced complications, while 8 (14%) with < 3% preoperative weight loss experienced complications (χ2 = 11.20; P < .001). Notably, ≥ 3% weight loss in the 1-year preoperative period before surgery was not significantly associated with delayed recovery. Any degree of 30-day postoperative weight loss was not correlated with delayed recovery. Finally, low preoperative albumin also was not correlated with delayed recovery (Fisher exact; P = .13). Table 3 displays differences based on presence of delayed recovery in the 88 patients with CC 6 months before surgery. Of note, ≥ 10-lb weight loss in the 6 months preceding surgery also correlated with delayed recovery (P = .01).In our cohort, 3% weight loss over 6 months had a sensitivity of 57%, specificity of 77%, positive predictive value 63%, and negative predictive value 73% for delayed recovery. By comparison, a 10-lb weight loss in 6 months per ASPEN criteria had a sensitivity of 40%, specificity of 85%, positive predictive value 64%, and negative predictive value 68% for delayed recovery.

Hospital Readmissions and LOS

Hospital readmissions occurred within the first 30 days in 11 patients (10%) in the CC cohort and 12 patients (36%) in the RC cohort. Readmissions occurred between 31 and 60 days in 4 (3%) and 7 (21%) of CC and RC cohorts, respectively. The presence of ≥ 3% weight loss in the 6-month preoperative period was significantly associated with 60-day readmissions. Among those with ≥ 3% preoperative weight loss, 8 patients (25%) had readmissions within 60 days vs 3 patients (5%) without 3% preoperative weight loss who had readmissions within 60 days (Fisher exact; P = .02).

 

 

Mean (SD) LOS was 6.4 (4.7) days (range, 1-28) for patients with CC and 8.8 (5.1) days (range, 3-23) for patients with RC. Mean (SD) LOS increased to 10.2 (4.3) days and 9.7 (6.0) days in patients with delayed recovery in the CC and RC cohorts, respectively. The mean (SD) LOS was 5.2 (2.8) days and 6.3 (2.2) days in patients without delayed recovery in the CC and RC cohorts, respectively. There was no significant difference when examining association between percent weight change and LOS for either initial admission (rs= -0.1409; 2-tailed P = .19) or for initial and readmission combined (rs = -0.13532; 2-tailed P = .21) within the CC cohort.

Chemotherapy

Within the CC cohort, 31 patients (27%) had an indication for adjuvant chemotherapy. Of these, 25 of 31 (81%) started chemotherapy within 12 weeks of surgical resection, and of these, 17 of 25 patients (68%) completed chemotherapy as indicated. Within the RC cohort all 33 patients had an indication for adjuvant chemotherapy, of these 18 of 33 patients (55%) began within 12 weeks of surgical resection, and 10 of 18 (56%) completed chemotherapy as indicated.

Among the CC cohort who began but did not complete adjuvant chemotherapy, there was no significant association between completion of chemotherapy and preoperative weight loss. Of patients with ≥ 3% preoperative weight loss, 3 (43%) did not complete chemotherapy vs 3 patients (27%) without preoperative weight loss who did not complete chemotherapy as indicated (Fisher exact; P = .63). Finally, low preoperative albumin did not significantly correlate with lack of completion of adjuvant chemotherapy (Fisher exact; P = .99).

Discussion

This study highlights several important findings. There were no patients in our cohort that met ASPEN malnourishment criteria with a BMI < 18.5. Twenty percent of patients lost at least 10 lb in 6 months before the operation. Notably, patients had significant associations with adverse outcomes with less pronounced weight loss than previously noted. As has been established previously, malnourishment can be difficult to screen for, and BMI also is often an imprecise tool.12 In the CC cohort, weight loss ≥ 3% from 6 months before surgery was significantly associated with delayed recovery, complications, and hospital readmissions. We did not identify a statistically significant effect on chemotherapy completion. However, the numerical difference was suggestive of a difference, and a type 2 error is possible due to our limited sample size.

Our findings imply that the effects of even mild malnutrition are even more profound than previously thought. Significantly, this applies to overweight and obese patients as well, as these constituted a significant fraction of our cohort. A finding of ≥ 3% weight loss at the time of CC diagnosis may provide an opportunity for a focused nutrition intervention up to the time of surgery. Second, although nutrition consultation was frequent in the inpatient setting during the hospital admission (96%-100%), rates of nutrition evaluation were as low as 15% before surgery and 12% after surgery, representing a key area for improvement and focused intervention. An optimal time for intervention and nutrition prehabilitation would be at time of diagnosis before surgery with plans for continued aggressive monitoring and subsequent follow-up. Our finding seems to provide a more sensitive tool to identify patients at risk for delayed recovery compared with the ASPEN-driven assessment. Given the simplicity and the clinical significance, our test consisting of 3% weight loss over 6 months, with its sensitivity of 57%, may be superior to the ASPEN 10-lb weight loss, with its sensitivity of 40% in our cohort.

 

 

Previous Studies

Our findings are consistent with previous studies that have demonstrated that perioperative weight loss and malnutrition are correlated with delayed recovery and complications, such as wound healing, in patients with GI cancer.2,4,5,8 In a retrospective study of more than 7000 patients with CC, those who were overweight or obese were found to have an improved overall survival compared with other BMI categories, and those who were underweight had an increased 30-day mortality and postoperative complications.16

In another retrospective study of 3799 patients with CC, those who were overweight and obese had an improved 5-year survival rate compared with patients whose weight was normal or underweight. Outcomes were found to be stage dependent.17 In this study cohort, all patients were either overweight or obese and remained in that category even with weight loss. This may have contributed to overall improved outcomes.

Implications and Next Steps

Our study has several implications. One is that BMI criteria < 18.5 may not be a good measure for malnutrition given that about 75% of the patients in our cohort were overweight or obese and none were underweight. We also show a concrete, easily identifiable finding of percent weight change that could be addressed as an automated electronic notification and potentially identify a patient at risk and serve as a trigger for both timely and early nutrition intervention. It seems to be more sensitive than the ASPEN criterion of 10-lb weight loss in 6 months before surgery. Sensitivity is especially appealing given the ease and potential of embedding this tool in an electronic health record and the clinical importance of the consequent intervention. Preoperative as opposed to perioperative nutrition optimization at time of CC diagnosis is essential, as it may help improve postsurgical outcomes as well as oncologic outcomes, including completion of adjuvant chemotherapy. Finally, although our study found that rates of inpatient postoperative nutrition consultation were high, rates of outpatient nutrition consultation in the preoperative period were low. This represents a missed opportunity for intervention before surgery. Similarly, rates of postoperative nutrition follow-up period were low, which points to an area for improvement in longitudinal and holistic care.

We suggest modifications to nutrition intervention protocols, such as ERAS, which should start at the time of GI malignancy diagnosis.18 Other suggestions include standard involvement of nutritionists in inpatient and outpatient settings with longitudinal follow-up in the preoperative and postoperative periods and patient enrollment in a nutrition program with monitoring at time of diagnosis at the VHA. Our findings as well as previous literature suggest that the preoperative period is the most important time to intervene with regard to nutrition optimization and represents an opportunity for intensive prehabilitation. Future areas of research include incorporating other important measures of malnourishment independent of BMI into future study designs, such as sarcopenia and adipose tissue density, to better assess body composition and predict prognostic risk in CC.18,19

Strengths and Limitations

This study is limited by its single-center, retrospective design and small sample sizes, and we acknowledge the limitations of our data set. However, the strength of this VHA-based study is that the single-payer system allows for complete capture of perioperative data as well as the opportunity for focused preoperative interventions to improve outcomes. To our knowledge, there is no currently existing literature on improving nutrition protocols at the VHA for patients with a GI malignancy. These retrospective data will help inform current gaps in quality improvement and supportive oncology as it relates to optimizing malnourishment in veterans undergoing surgical resection for their cancer.

 

 

Conclusions

In the CC cohort, weight loss of ≥ 3% from 6 months prior to time of surgery was significantly associated with delayed recovery, complications, and hospital readmissions. Our findings suggest that patients with CC undergoing surgery may benefit from an intensive, early nutrition prehabilitation. Preoperative nutrition optimization may help improve postsurgical outcomes as well as oncologic outcomes, including completion of adjuvant chemotherapy. Further research would be able to clarify these hypotheses.

References

1. Benoist S, Brouquet A. Nutritional assessment and screening for malnutrition. J Visc Surg. 2015;152:S3-S7. doi:10.1016/S1878-7886(15)30003-5

2. Hébuterne X, Lemarié E, Michallet M, de Montreuil CB, Schneider SM, Goldwasser F. Prevalence of malnutrition and current use of nutrition support in patients with cancer. J Parenter Enter Nutr. 2014;38(2):196-204. doi:10.1177/0148607113502674

3. Van Cutsem E, Arends J. The causes and consequences of cancer-associated malnutrition. Eur J Oncol Nurs. 2005;9:S51-S63. doi:10.1016/j.ejon.2005.09.007

4. Nishiyama VKG, Albertini SM, de Moraes CMZG, et al. Malnutrition and clinical outcomes in surgical patients with colorectal disease. Arq Gastroenterol. 2018;55(4):397-402. doi:10.1590/s0004-2803.201800000-85

5. Shpata V, Prendushi X, Kreka M, Kola I, Kurti F, Ohri I. Malnutrition at the time of surgery affects negatively the clinical outcome of critically ill patients with gastrointestinal cancer. Med Arch Sarajevo Bosnia Herzeg. 2014;68(4):263-267. doi:10.5455/medarh.2014.68.263-267

6. Lim HS, Cho GS, Park YH, Kim SK. Comparison of quality of life and nutritional status in gastric cancer patients undergoing gastrectomies. Clin Nutr Res. 2015;4(3):153-159. doi:10.7762/cnr.2015.4.3.153

7. Bozzetti F, Gavazzi C, Miceli R, et al. Perioperative total parenteral nutrition in malnourished, gastrointestinal cancer patients: a randomized, clinical trial. J Parenter Enter Nutr. 2000;24(1):7-14. doi:10.1177/014860710002400107

8. Bozzetti F, Gianotti L, Braga M, Di Carlo V, Mariani L. Postoperative complications in gastrointestinal cancer patients: the joint role of the nutritional status and the nutritional support. Clin Nutr. 2007;26(6):698-709. doi:10.1016/j.clnu.2007.06.009

9. Bozzetti F, Braga M, Gianotti L, Gavazzi C, Mariani L. Postoperative enteral versus parenteral nutrition in malnourished patients with gastrointestinal cancer: a randomised multicentre trial. Lancet. 2001; 358(9292):1487-1492. doi:10.1016/S0140-6736(01)06578-3

10. Meng Q, Tan S, Jiang Y, et al. Post-discharge oral nutritional supplements with dietary advice in patients at nutritional risk after surgery for gastric cancer: a randomized clinical trial. Clin Nutr Edinb Scotl. 2021;40(1):40-46. doi:10.1016/j.clnu.2020.04.043 start

11. White JV, Guenter P, Jensen G, Malone A, Schofield M. Consensus statement of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). J Acad Nutr Diet. 2012;112(5):730-738. doi:10.1016/j.jand.2012.03.012

12. Jones JM. The methodology of nutritional screening and assessment tools. J Hum Nutr Diet. 2002;15(1):59-71. doi:10.1046/j.1365-277X.2002.00327.x

13. Williams J, Wischmeyer P. Assessment of perioperative nutrition practices and attitudes—a national survey of colorectal and GI surgical oncology programs. Am J Surg. 2017;213(6):1010-1018. doi:10.1016/j.amjsurg.2016.10.008

14. Williams DG, Aronson S, Murray S, et al. Validation of the perioperative nutrition screen for prediction of postoperative outcomes. JPEN J Parenter Enteral Nutr. 2022;46(6):1307-1315. doi:10.1002/jpen.2310

15. Besson AJ, Kei C, Djordjevic A, Carter V, Deftereos I, Yeung J. Does implementation of and adherence to enhanced recovery after surgery improve perioperative nutritional management in colorectal cancer surgery? ANZ J Surg. 2022;92(6):1382-1387. doi:10.1111/ans.17599

16. Arkenbosch JHC, van Erning FN, Rutten HJ, Zimmerman D, de Wilt JHW, Beijer S. The association between body mass index and postoperative complications, 30-day mortality and long-term survival in Dutch patients with colorectal cancer. Eur J Surg Oncol J Eur Soc Surg Oncol Br Assoc Surg Oncol. 2019;45(2):160-166. doi:10.1016/j.ejso.2018.09.012

17. Shahjehan F, Merchea A, Cochuyt JJ, Li Z, Colibaseanu DT, Kasi PM. Body mass index and long-term outcomes in patients with colorectal cancer. Front Oncol. 2018;8:620. doi:10.3389/fonc.2018.00620

18. Nishigori T, Obama K, Sakai Y. Assessment of body composition and impact of sarcopenia and sarcopenic obesity in patients with gastric cancer. Transl Gastroenterol Hepatol. 2020;5:22. doi:10.21037/tgh.2019.10.13

19. Feliciano EMC, Winkels RM, Meyerhardt JA, Prado CM, Afman LA, Caan BJ. Abdominal adipose tissue radiodensity is associated with survival after colorectal cancer. Am J Clin Nutr. 2021;114(6):1917-1924. doi:10.1093/ajcn/nqab285

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Urvashi M. Joshi, MDa,b,c; David Ratz, MSa,b; Timothy L. Frankel, MDa,b; Irina Dobrosotskaya, MD, PhDa,b

Correspondence: Irina Dobrosotskaya (irinad@med.umich.edu)

aUniversity of Michigan Health System, Ann Arbor

bVeterans Affairs Ann Arbor Healthcare System, Michigan

cUniversity of Pittsburgh Medical Center, Pennsylvania

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The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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This study was approved by the Veterans Affairs Ann Arbor Healthcare System Institutional Review Board.

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Urvashi M. Joshi, MDa,b,c; David Ratz, MSa,b; Timothy L. Frankel, MDa,b; Irina Dobrosotskaya, MD, PhDa,b

Correspondence: Irina Dobrosotskaya (irinad@med.umich.edu)

aUniversity of Michigan Health System, Ann Arbor

bVeterans Affairs Ann Arbor Healthcare System, Michigan

cUniversity of Pittsburgh Medical Center, Pennsylvania

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

This study was approved by the Veterans Affairs Ann Arbor Healthcare System Institutional Review Board.

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Urvashi M. Joshi, MDa,b,c; David Ratz, MSa,b; Timothy L. Frankel, MDa,b; Irina Dobrosotskaya, MD, PhDa,b

Correspondence: Irina Dobrosotskaya (irinad@med.umich.edu)

aUniversity of Michigan Health System, Ann Arbor

bVeterans Affairs Ann Arbor Healthcare System, Michigan

cUniversity of Pittsburgh Medical Center, Pennsylvania

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

This study was approved by the Veterans Affairs Ann Arbor Healthcare System Institutional Review Board.

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In patients with gastrointestinal (GI) malignancies, malnutrition is common. In addition, it has various negative implications, including high risk for surgical complications, prolonged hospitalization, decreased quality of life (QOL), increased mortality, and poor tolerance for treatments such as chemotherapy and radiotherapy.1

A 2014 French study of 1903 patients hospitalized for cancer reported a 39% overall prevalence of malnutrition; 39% in patients with cancers of the colon/rectum, 60% for pancreatic cancer, and 67% for cancers of the esophagus/stomach.2 Malnutrition was defined as body mass index (BMI) < 18.5 for individuals aged < 75 years or BMI < 21 for individuals aged ≥ 75 years, and/or weight loss > 10% since disease onset. Malnutrition also was strongly associated with worsened performance status.

The etiology of malnutrition in GI cancers is often multifactorial. It includes systemic tumor effects, such as inflammatory mediators contributing to hypermetabolism and cachexia, local tumor-associated mechanical obstruction, GI toxicities caused by antineoplastic therapy or other medications, and psychological factors that contribute to anorexia.3 Patient-related risk factors such as older age, other chronic diseases, and history of other GI surgeries also play a role.1

Other studies have demonstrated that malnutrition in patients with GI malignancies undergoing surgical resection is associated with high rates of severe postoperative complications, increased length of stay (LOS) and time on a ventilator for patients treated in the intensive care unit, and poor QOL in the postoperative survival period.4-6 Several randomized controlled trials conducted in patients with GI cancers have shown that enteral and parenteral nutrition supplementations in the perioperative period improve various outcomes, such as reduction of postoperative complication rates, fewer readmissions, improved chemotherapy tolerance, and improved QOL.7-10 Thus, in the management of patients with GI malignancies, it is highly important to implement early nutritional screening and establish a diagnosis of malnutrition to intervene and reduce postoperative morbidity and mortality.1

However, tools and predictors of malnutrition are often imperfect. The Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition (AND/ASPEN) weight-based criteria define malnutrition and nutritionally-at-risk as BMI < 18.5, involuntary loss of at least 10% of body weight within 6 months or 5% within 1 month, or loss of 10 lb within 6 months.11 While the ASPEN criteria are often used to define malnourishment, they may not fully capture the population at risk, and there does not exist a gold-standard tool for nutritional screening. A 2002 study that performed a critical appraisal of 44 nutritional screening tools found that no single tool was fully sufficient for application, development, evaluation, and consistent screening.12 As such, consistently screening for malnutrition to target interventions in the perioperative period for GI surgical oncology has been challenging.13 More recent tools such as the perioperative nutrition screen (PONS) have been validated as rapid, effective screening tools to predict postoperative outcomes.14 Additionally, implementation of perioperative nutritional protocols, such as enhanced recovery after surgery (ERAS) in colon cancer (CC) surgery, also has shown improved perioperative care and outcomes.15

Preoperative nutritional interventions have been implemented in practice and have focused mostly on the immediate perioperative period. This has been shown to improve surgical outcomes. The Veterans Health Administration (VHA) provides comprehensive care to patients in a single-payer system, allowing for capture of perioperative data and the opportunity for focused preoperative interventions to improve outcomes.

 

 

Methods

This was a retrospective record review of colorectal malignancies treated with curative intent at the Veterans Affairs Ann Arbor Healthcare System (VAAAHS) in Michigan between January 1, 2015, and December 31, 2019. We examined nutritional status, degree of longitudinal weight loss, and subsequent clinical outcomes, including delayed postoperative recovery and delays in chemotherapy in 115 patients with CC and 33 patients with rectal cancer (RC) undergoing curative surgical resection at VAAAHS. To avoid additional confounding effects of advanced cancer, only early-stage, curable disease was included. This study was approved by the VAAAHS Institutional Review Board.

figure
Patient cases were identified in the VAAAHS cancer registry, which included 115 patients with colon primary tumors and 33 patients with rectal tumors. According to the VAAAHS standard of care, patients with CC did not require neoadjuvant therapy while patients with RC cohort did (Figure). The CC cohort was defined as patients who had an adenocarcinoma, mucinous adenocarcinoma, or carcinoid tumor of the colon or rectosigmoid junction. These patients did not receive neoadjuvant therapy and underwent curative-intent surgical resection of their tumor. The RC cohort was defined as patients who had adenocarcinoma, mucinous adenocarcinoma, or signet ring cell carcinoma of the rectum. These patients received neoadjuvant chemoradiation followed by curative-intent surgical resection of their tumor.

Patients with postoperative follow-up outside of VAAAHS were excluded. Patients were excluded if their surgery had noncurative intent or if they had distant metastatic disease. Data on patient weights, laboratory results, nutrition consultations, postoperative complications, delayed recovery, readmissions, and chemotherapy tolerance were abstracted by patient chart review in the VHA Computerized Patient Record System and Joint Legacy Viewer by 2 researchers.

Delayed recovery was defined as any abnormal clinical development described in inpatient progress notes, outpatient follow-up notes within 60 days, or in hospital discharge summaries. Excluded were psychiatric events without additional medical complications, postoperative bleeding not requiring an invasive intervention, urinary retention, postoperative glycemic control difficulties, cardiac events that happened before postoperative hospital discharge and not requiring readmission, and postoperative alcohol withdrawal. Complications were defined similarly to delayed recovery but excluded isolated prolonged postoperative ileus. LOS was defined in days as time from admission to discharge.

Adjuvant management course was derived from reviewing documentation from medical oncology consultations and progress notes. In patients for whom adjuvant chemotherapy was indicated and prescribed, chemotherapy was considered complete if chemotherapy was started and completed as indicated. Adjuvant chemotherapy was considered incomplete if the patient declined chemotherapy, if chemotherapy was not started when indicated, or if chemotherapy was not completed as indicated. Neoadjuvant therapy data were abstracted from medical and radiation oncology notes.

Recorded data were collected on both weight and BMI. Weights were extracted as follows: Weight 1 year before time of diagnosis, ± 4 months; weight 6 months before diagnosis ± 3 months; weight at time of diagnosis ± 2 weeks; weight at time of surgery ± 2 weeks; weight 30 days postsurgery ± 2 weeks; weight 60 days postsurgery ± 2 weeks; weight 1 year postsurgery ± 4 months. Mean percent change in weight was calculated from recorded weights between each allocated time point. A weight loss of ≥ 3% was found to be clinically relevant and was chosen as the minimal cutoff value when analyzing outcomes associated with weight trends.

Nutrition consultations were abstracted as follows: Preoperative nutrition consultations were defined as occurring between time of cancer diagnosis and surgery in either the inpatient or outpatient setting; inpatient postoperative nutrition consultations occurred during admission for surgery; readmission nutrition consultations occurred on readmission in inpatient setting, if applicable; outpatient postoperative nutrition consultations were defined as occurring up to 2 months postdischarge in the outpatient setting.

Albumin values were extracted as follows: Preoperative albumin levels were defined as up to 4 months prior to diagnosis, and postoperative albumin levels were defined as 2 to 6 months after surgery.

 

 

Analysis

The data were described using mean (SD) for continuous variables and number and percentages for categorical variables. Where appropriate, Fisher exact test, Pearson χ2 test, Spearman ρ, and Mann-Whitney U test were used for tests of significance. SAS (SAS Institute) was utilized for multivariable analysis. The significance level was P = .05 for all tests.

Results

There were 115 patients in the CC cohort and 33 in the RC cohort. The mean (SD) age at diagnosis was 70 (9.1) for CC group and 59 (1.4) for RC group (Table 1). 

table 1
For the CC and RC cohorts, the mean (SD) pathologic tumor stage was 2.3 (0.8) and 1.6 (1.2), respectively; the mean (SD) nodal stages was 0.4 (0.7) for both groups. Most patients (84 [73%] in the CC cohort and 29 [88%] in the RC cohort) had at least 1 recorded comorbidity (ie, diabetes mellitus, peripheral arterial disease, coronary artery disease, or history of cerebral vascular accident/transient ischemic attack). Malnutrition as determined by BMI criteria was not highly prevalent in the patient cohort. At time of diagnosis, none of the patients were underweight (BMI < 18.5); 24 patients with CC (27%) and 5 patients with RC (15%) were overweight (BMI 25.0-29.9); and 43 patients with CC (48%) and 15 patients with RC (45%) were obese (BMI ≥ 30). CC and RC cohorts had a mean preoperative albumin of 3.71 and 3.60, respectively. Low preoperative albumin (< 3.5), was present in 25 patients with CC (22%) and in 11 patients with RC (33%).

Weight Trends

Table 2
At time of diagnosis, the mean (SD) BMI was 29.9 (7.1) for the CC group and 30.9 (7.4) for the RC group. The mean (SD) time in days from diagnosis to the date of surgery for the CC group was 43.9 (26.8) and 172.1 (39.1) for the RC group. Mean changes in BMI ranged from -7.0% to +4.9% (Table 2).

From 1 year to 6 months before diagnosis, 40 of 80 patients lost weight in the CC cohort (mean change, +1.9%) and 6 of 22 patients lost weight in the RC cohort (mean change, + 0.5%). From 6 months before diagnosis to time of diagnosis, 47 of 74 patients lost weight in the CC cohort (mean change, -1.5%) and 14 of 21 patients lost weight in the RC cohort (mean change, -2.5%). From time of diagnosis to time of surgery, 36 of 104 patients with CC and 14 of 32 patients with RC lost weight with a mean weight change of and +0.1% and -0.3%, respectively. In the 6 months before surgery, any amount of weight loss was observed in 58 patients (66%) in the CC group and in 12 patients (57%) in the RC group. In this time frame, in the CC cohort, 32 patients (36%) were observed to have at least 3% weight loss, and 23 (26%) were observed to have at least 5% weight loss (Table 3). 

Table 3
In the 6 months before surgery, 20 of 88 patients (23%) in the CC cohort lost ≥ 10 lb.

In patients who completed adjuvant chemotherapy in the CC group, mean (SD) BMI at the beginning and end of chemotherapy was 32.6 (8.6) and 33.1 (8.7), respectively, and a -0.3% mean change in weight was observed. In the RC group, mean (SD) BMI was 28.2 (5.0) at the initiation of adjuvant chemotherapy and 28.4 (5.0) at its completion, with a +2.6% mean change in weight.

In the immediate postoperative period, most patients were losing weight in both the CC and RC groups (mean, -3.5% and -7.0% at 1 month postoperative, respectively). At 1-year after surgery, patients had modest mean increases in weight: +1.3% for patients with CC and +4.9% for patients with RC.

A relatively large proportion of patients had missing data on weights at various data points (Table 4). 
Table 4
Preoperative weight trends were hampered by this limitation. Of the 115 patients, only 62 (54%) had data available to evaluate weight dynamics from 1 year prior to time of diagnosis, 74 (64%) from 6 months prior to diagnosis, and 73 (63%) for 1 year prior to time of surgery. The trend from 6 months pre-diagnosis until the time of surgery allowed for the most complete analysis: Data were available for 88 of 115 patients (77%). Data were missing in 33 patients with RC as well; thus, data analysis is focused on the CC cohort.

 

 

Nutrition Consultations

In the CC group, preoperative nutrition consultations (either inpatient or outpatient) occurred in 17 patients (15%). Inpatient postoperative nutrition evaluations occurred in 110 patients (96%) (Table 5). 

Table 5
  Of these inpatient postoperative consultations, either oral or enteral nutritional supplements were prescribed 26 times (24%). Patients had a postoperative outpatient nutrition follow-up within 2 months postdischarge in only 14 cases (12%). Of 15 patients who were readmitted to the hospital, 11 (69%) had a nutrition reconsultation on readmission.

In the RC group, preoperative inpatient or outpatient nutrition consultations occurred in 12 patients (36%). Eight of those occurred before initiation of neoadjuvant chemoradiotherapy. All 33 patients received an inpatient postoperative nutrition evaluation during admission. Oral or enteral nutrition supplements were prescribed 19 times (58%). Postoperative outpatient nutrition consultations occurred for 24 patients (73%). Of the 19 patients who were readmitted to the hospital, 3 (16%) had a nutrition reconsultation on readmission.

Outcomes

The primary outcomes observed were delayed recovery, hospital readmission and LOS, and completion of adjuvant chemotherapy as indicated. Delayed recovery was observed in 35 patients with CC (40%) and 21 patients with RC (64%). Multivariable analysis in the CC cohort demonstrated that weight change was significantly associated with delayed recovery. Among those with ≥ 3% weight loss in the 6-month preoperative period (the weight measurement 6 months prior to diagnosis to date of surgery), 20 patients (63%) had delayed recovery compared with 15 patients (27%) without ≥ 3% weight loss who experienced delayed recovery (χ2 = 10.84; P < .001).

Weight loss of ≥ 3% in the 6-month preoperative period also was significantly associated with complications. Of patients with at least 3% preoperative weight loss, 16 (50%) experienced complications, while 8 (14%) with < 3% preoperative weight loss experienced complications (χ2 = 11.20; P < .001). Notably, ≥ 3% weight loss in the 1-year preoperative period before surgery was not significantly associated with delayed recovery. Any degree of 30-day postoperative weight loss was not correlated with delayed recovery. Finally, low preoperative albumin also was not correlated with delayed recovery (Fisher exact; P = .13). Table 3 displays differences based on presence of delayed recovery in the 88 patients with CC 6 months before surgery. Of note, ≥ 10-lb weight loss in the 6 months preceding surgery also correlated with delayed recovery (P = .01).In our cohort, 3% weight loss over 6 months had a sensitivity of 57%, specificity of 77%, positive predictive value 63%, and negative predictive value 73% for delayed recovery. By comparison, a 10-lb weight loss in 6 months per ASPEN criteria had a sensitivity of 40%, specificity of 85%, positive predictive value 64%, and negative predictive value 68% for delayed recovery.

Hospital Readmissions and LOS

Hospital readmissions occurred within the first 30 days in 11 patients (10%) in the CC cohort and 12 patients (36%) in the RC cohort. Readmissions occurred between 31 and 60 days in 4 (3%) and 7 (21%) of CC and RC cohorts, respectively. The presence of ≥ 3% weight loss in the 6-month preoperative period was significantly associated with 60-day readmissions. Among those with ≥ 3% preoperative weight loss, 8 patients (25%) had readmissions within 60 days vs 3 patients (5%) without 3% preoperative weight loss who had readmissions within 60 days (Fisher exact; P = .02).

 

 

Mean (SD) LOS was 6.4 (4.7) days (range, 1-28) for patients with CC and 8.8 (5.1) days (range, 3-23) for patients with RC. Mean (SD) LOS increased to 10.2 (4.3) days and 9.7 (6.0) days in patients with delayed recovery in the CC and RC cohorts, respectively. The mean (SD) LOS was 5.2 (2.8) days and 6.3 (2.2) days in patients without delayed recovery in the CC and RC cohorts, respectively. There was no significant difference when examining association between percent weight change and LOS for either initial admission (rs= -0.1409; 2-tailed P = .19) or for initial and readmission combined (rs = -0.13532; 2-tailed P = .21) within the CC cohort.

Chemotherapy

Within the CC cohort, 31 patients (27%) had an indication for adjuvant chemotherapy. Of these, 25 of 31 (81%) started chemotherapy within 12 weeks of surgical resection, and of these, 17 of 25 patients (68%) completed chemotherapy as indicated. Within the RC cohort all 33 patients had an indication for adjuvant chemotherapy, of these 18 of 33 patients (55%) began within 12 weeks of surgical resection, and 10 of 18 (56%) completed chemotherapy as indicated.

Among the CC cohort who began but did not complete adjuvant chemotherapy, there was no significant association between completion of chemotherapy and preoperative weight loss. Of patients with ≥ 3% preoperative weight loss, 3 (43%) did not complete chemotherapy vs 3 patients (27%) without preoperative weight loss who did not complete chemotherapy as indicated (Fisher exact; P = .63). Finally, low preoperative albumin did not significantly correlate with lack of completion of adjuvant chemotherapy (Fisher exact; P = .99).

Discussion

This study highlights several important findings. There were no patients in our cohort that met ASPEN malnourishment criteria with a BMI < 18.5. Twenty percent of patients lost at least 10 lb in 6 months before the operation. Notably, patients had significant associations with adverse outcomes with less pronounced weight loss than previously noted. As has been established previously, malnourishment can be difficult to screen for, and BMI also is often an imprecise tool.12 In the CC cohort, weight loss ≥ 3% from 6 months before surgery was significantly associated with delayed recovery, complications, and hospital readmissions. We did not identify a statistically significant effect on chemotherapy completion. However, the numerical difference was suggestive of a difference, and a type 2 error is possible due to our limited sample size.

Our findings imply that the effects of even mild malnutrition are even more profound than previously thought. Significantly, this applies to overweight and obese patients as well, as these constituted a significant fraction of our cohort. A finding of ≥ 3% weight loss at the time of CC diagnosis may provide an opportunity for a focused nutrition intervention up to the time of surgery. Second, although nutrition consultation was frequent in the inpatient setting during the hospital admission (96%-100%), rates of nutrition evaluation were as low as 15% before surgery and 12% after surgery, representing a key area for improvement and focused intervention. An optimal time for intervention and nutrition prehabilitation would be at time of diagnosis before surgery with plans for continued aggressive monitoring and subsequent follow-up. Our finding seems to provide a more sensitive tool to identify patients at risk for delayed recovery compared with the ASPEN-driven assessment. Given the simplicity and the clinical significance, our test consisting of 3% weight loss over 6 months, with its sensitivity of 57%, may be superior to the ASPEN 10-lb weight loss, with its sensitivity of 40% in our cohort.

 

 

Previous Studies

Our findings are consistent with previous studies that have demonstrated that perioperative weight loss and malnutrition are correlated with delayed recovery and complications, such as wound healing, in patients with GI cancer.2,4,5,8 In a retrospective study of more than 7000 patients with CC, those who were overweight or obese were found to have an improved overall survival compared with other BMI categories, and those who were underweight had an increased 30-day mortality and postoperative complications.16

In another retrospective study of 3799 patients with CC, those who were overweight and obese had an improved 5-year survival rate compared with patients whose weight was normal or underweight. Outcomes were found to be stage dependent.17 In this study cohort, all patients were either overweight or obese and remained in that category even with weight loss. This may have contributed to overall improved outcomes.

Implications and Next Steps

Our study has several implications. One is that BMI criteria < 18.5 may not be a good measure for malnutrition given that about 75% of the patients in our cohort were overweight or obese and none were underweight. We also show a concrete, easily identifiable finding of percent weight change that could be addressed as an automated electronic notification and potentially identify a patient at risk and serve as a trigger for both timely and early nutrition intervention. It seems to be more sensitive than the ASPEN criterion of 10-lb weight loss in 6 months before surgery. Sensitivity is especially appealing given the ease and potential of embedding this tool in an electronic health record and the clinical importance of the consequent intervention. Preoperative as opposed to perioperative nutrition optimization at time of CC diagnosis is essential, as it may help improve postsurgical outcomes as well as oncologic outcomes, including completion of adjuvant chemotherapy. Finally, although our study found that rates of inpatient postoperative nutrition consultation were high, rates of outpatient nutrition consultation in the preoperative period were low. This represents a missed opportunity for intervention before surgery. Similarly, rates of postoperative nutrition follow-up period were low, which points to an area for improvement in longitudinal and holistic care.

We suggest modifications to nutrition intervention protocols, such as ERAS, which should start at the time of GI malignancy diagnosis.18 Other suggestions include standard involvement of nutritionists in inpatient and outpatient settings with longitudinal follow-up in the preoperative and postoperative periods and patient enrollment in a nutrition program with monitoring at time of diagnosis at the VHA. Our findings as well as previous literature suggest that the preoperative period is the most important time to intervene with regard to nutrition optimization and represents an opportunity for intensive prehabilitation. Future areas of research include incorporating other important measures of malnourishment independent of BMI into future study designs, such as sarcopenia and adipose tissue density, to better assess body composition and predict prognostic risk in CC.18,19

Strengths and Limitations

This study is limited by its single-center, retrospective design and small sample sizes, and we acknowledge the limitations of our data set. However, the strength of this VHA-based study is that the single-payer system allows for complete capture of perioperative data as well as the opportunity for focused preoperative interventions to improve outcomes. To our knowledge, there is no currently existing literature on improving nutrition protocols at the VHA for patients with a GI malignancy. These retrospective data will help inform current gaps in quality improvement and supportive oncology as it relates to optimizing malnourishment in veterans undergoing surgical resection for their cancer.

 

 

Conclusions

In the CC cohort, weight loss of ≥ 3% from 6 months prior to time of surgery was significantly associated with delayed recovery, complications, and hospital readmissions. Our findings suggest that patients with CC undergoing surgery may benefit from an intensive, early nutrition prehabilitation. Preoperative nutrition optimization may help improve postsurgical outcomes as well as oncologic outcomes, including completion of adjuvant chemotherapy. Further research would be able to clarify these hypotheses.

In patients with gastrointestinal (GI) malignancies, malnutrition is common. In addition, it has various negative implications, including high risk for surgical complications, prolonged hospitalization, decreased quality of life (QOL), increased mortality, and poor tolerance for treatments such as chemotherapy and radiotherapy.1

A 2014 French study of 1903 patients hospitalized for cancer reported a 39% overall prevalence of malnutrition; 39% in patients with cancers of the colon/rectum, 60% for pancreatic cancer, and 67% for cancers of the esophagus/stomach.2 Malnutrition was defined as body mass index (BMI) < 18.5 for individuals aged < 75 years or BMI < 21 for individuals aged ≥ 75 years, and/or weight loss > 10% since disease onset. Malnutrition also was strongly associated with worsened performance status.

The etiology of malnutrition in GI cancers is often multifactorial. It includes systemic tumor effects, such as inflammatory mediators contributing to hypermetabolism and cachexia, local tumor-associated mechanical obstruction, GI toxicities caused by antineoplastic therapy or other medications, and psychological factors that contribute to anorexia.3 Patient-related risk factors such as older age, other chronic diseases, and history of other GI surgeries also play a role.1

Other studies have demonstrated that malnutrition in patients with GI malignancies undergoing surgical resection is associated with high rates of severe postoperative complications, increased length of stay (LOS) and time on a ventilator for patients treated in the intensive care unit, and poor QOL in the postoperative survival period.4-6 Several randomized controlled trials conducted in patients with GI cancers have shown that enteral and parenteral nutrition supplementations in the perioperative period improve various outcomes, such as reduction of postoperative complication rates, fewer readmissions, improved chemotherapy tolerance, and improved QOL.7-10 Thus, in the management of patients with GI malignancies, it is highly important to implement early nutritional screening and establish a diagnosis of malnutrition to intervene and reduce postoperative morbidity and mortality.1

However, tools and predictors of malnutrition are often imperfect. The Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition (AND/ASPEN) weight-based criteria define malnutrition and nutritionally-at-risk as BMI < 18.5, involuntary loss of at least 10% of body weight within 6 months or 5% within 1 month, or loss of 10 lb within 6 months.11 While the ASPEN criteria are often used to define malnourishment, they may not fully capture the population at risk, and there does not exist a gold-standard tool for nutritional screening. A 2002 study that performed a critical appraisal of 44 nutritional screening tools found that no single tool was fully sufficient for application, development, evaluation, and consistent screening.12 As such, consistently screening for malnutrition to target interventions in the perioperative period for GI surgical oncology has been challenging.13 More recent tools such as the perioperative nutrition screen (PONS) have been validated as rapid, effective screening tools to predict postoperative outcomes.14 Additionally, implementation of perioperative nutritional protocols, such as enhanced recovery after surgery (ERAS) in colon cancer (CC) surgery, also has shown improved perioperative care and outcomes.15

Preoperative nutritional interventions have been implemented in practice and have focused mostly on the immediate perioperative period. This has been shown to improve surgical outcomes. The Veterans Health Administration (VHA) provides comprehensive care to patients in a single-payer system, allowing for capture of perioperative data and the opportunity for focused preoperative interventions to improve outcomes.

 

 

Methods

This was a retrospective record review of colorectal malignancies treated with curative intent at the Veterans Affairs Ann Arbor Healthcare System (VAAAHS) in Michigan between January 1, 2015, and December 31, 2019. We examined nutritional status, degree of longitudinal weight loss, and subsequent clinical outcomes, including delayed postoperative recovery and delays in chemotherapy in 115 patients with CC and 33 patients with rectal cancer (RC) undergoing curative surgical resection at VAAAHS. To avoid additional confounding effects of advanced cancer, only early-stage, curable disease was included. This study was approved by the VAAAHS Institutional Review Board.

figure
Patient cases were identified in the VAAAHS cancer registry, which included 115 patients with colon primary tumors and 33 patients with rectal tumors. According to the VAAAHS standard of care, patients with CC did not require neoadjuvant therapy while patients with RC cohort did (Figure). The CC cohort was defined as patients who had an adenocarcinoma, mucinous adenocarcinoma, or carcinoid tumor of the colon or rectosigmoid junction. These patients did not receive neoadjuvant therapy and underwent curative-intent surgical resection of their tumor. The RC cohort was defined as patients who had adenocarcinoma, mucinous adenocarcinoma, or signet ring cell carcinoma of the rectum. These patients received neoadjuvant chemoradiation followed by curative-intent surgical resection of their tumor.

Patients with postoperative follow-up outside of VAAAHS were excluded. Patients were excluded if their surgery had noncurative intent or if they had distant metastatic disease. Data on patient weights, laboratory results, nutrition consultations, postoperative complications, delayed recovery, readmissions, and chemotherapy tolerance were abstracted by patient chart review in the VHA Computerized Patient Record System and Joint Legacy Viewer by 2 researchers.

Delayed recovery was defined as any abnormal clinical development described in inpatient progress notes, outpatient follow-up notes within 60 days, or in hospital discharge summaries. Excluded were psychiatric events without additional medical complications, postoperative bleeding not requiring an invasive intervention, urinary retention, postoperative glycemic control difficulties, cardiac events that happened before postoperative hospital discharge and not requiring readmission, and postoperative alcohol withdrawal. Complications were defined similarly to delayed recovery but excluded isolated prolonged postoperative ileus. LOS was defined in days as time from admission to discharge.

Adjuvant management course was derived from reviewing documentation from medical oncology consultations and progress notes. In patients for whom adjuvant chemotherapy was indicated and prescribed, chemotherapy was considered complete if chemotherapy was started and completed as indicated. Adjuvant chemotherapy was considered incomplete if the patient declined chemotherapy, if chemotherapy was not started when indicated, or if chemotherapy was not completed as indicated. Neoadjuvant therapy data were abstracted from medical and radiation oncology notes.

Recorded data were collected on both weight and BMI. Weights were extracted as follows: Weight 1 year before time of diagnosis, ± 4 months; weight 6 months before diagnosis ± 3 months; weight at time of diagnosis ± 2 weeks; weight at time of surgery ± 2 weeks; weight 30 days postsurgery ± 2 weeks; weight 60 days postsurgery ± 2 weeks; weight 1 year postsurgery ± 4 months. Mean percent change in weight was calculated from recorded weights between each allocated time point. A weight loss of ≥ 3% was found to be clinically relevant and was chosen as the minimal cutoff value when analyzing outcomes associated with weight trends.

Nutrition consultations were abstracted as follows: Preoperative nutrition consultations were defined as occurring between time of cancer diagnosis and surgery in either the inpatient or outpatient setting; inpatient postoperative nutrition consultations occurred during admission for surgery; readmission nutrition consultations occurred on readmission in inpatient setting, if applicable; outpatient postoperative nutrition consultations were defined as occurring up to 2 months postdischarge in the outpatient setting.

Albumin values were extracted as follows: Preoperative albumin levels were defined as up to 4 months prior to diagnosis, and postoperative albumin levels were defined as 2 to 6 months after surgery.

 

 

Analysis

The data were described using mean (SD) for continuous variables and number and percentages for categorical variables. Where appropriate, Fisher exact test, Pearson χ2 test, Spearman ρ, and Mann-Whitney U test were used for tests of significance. SAS (SAS Institute) was utilized for multivariable analysis. The significance level was P = .05 for all tests.

Results

There were 115 patients in the CC cohort and 33 in the RC cohort. The mean (SD) age at diagnosis was 70 (9.1) for CC group and 59 (1.4) for RC group (Table 1). 

table 1
For the CC and RC cohorts, the mean (SD) pathologic tumor stage was 2.3 (0.8) and 1.6 (1.2), respectively; the mean (SD) nodal stages was 0.4 (0.7) for both groups. Most patients (84 [73%] in the CC cohort and 29 [88%] in the RC cohort) had at least 1 recorded comorbidity (ie, diabetes mellitus, peripheral arterial disease, coronary artery disease, or history of cerebral vascular accident/transient ischemic attack). Malnutrition as determined by BMI criteria was not highly prevalent in the patient cohort. At time of diagnosis, none of the patients were underweight (BMI < 18.5); 24 patients with CC (27%) and 5 patients with RC (15%) were overweight (BMI 25.0-29.9); and 43 patients with CC (48%) and 15 patients with RC (45%) were obese (BMI ≥ 30). CC and RC cohorts had a mean preoperative albumin of 3.71 and 3.60, respectively. Low preoperative albumin (< 3.5), was present in 25 patients with CC (22%) and in 11 patients with RC (33%).

Weight Trends

Table 2
At time of diagnosis, the mean (SD) BMI was 29.9 (7.1) for the CC group and 30.9 (7.4) for the RC group. The mean (SD) time in days from diagnosis to the date of surgery for the CC group was 43.9 (26.8) and 172.1 (39.1) for the RC group. Mean changes in BMI ranged from -7.0% to +4.9% (Table 2).

From 1 year to 6 months before diagnosis, 40 of 80 patients lost weight in the CC cohort (mean change, +1.9%) and 6 of 22 patients lost weight in the RC cohort (mean change, + 0.5%). From 6 months before diagnosis to time of diagnosis, 47 of 74 patients lost weight in the CC cohort (mean change, -1.5%) and 14 of 21 patients lost weight in the RC cohort (mean change, -2.5%). From time of diagnosis to time of surgery, 36 of 104 patients with CC and 14 of 32 patients with RC lost weight with a mean weight change of and +0.1% and -0.3%, respectively. In the 6 months before surgery, any amount of weight loss was observed in 58 patients (66%) in the CC group and in 12 patients (57%) in the RC group. In this time frame, in the CC cohort, 32 patients (36%) were observed to have at least 3% weight loss, and 23 (26%) were observed to have at least 5% weight loss (Table 3). 

Table 3
In the 6 months before surgery, 20 of 88 patients (23%) in the CC cohort lost ≥ 10 lb.

In patients who completed adjuvant chemotherapy in the CC group, mean (SD) BMI at the beginning and end of chemotherapy was 32.6 (8.6) and 33.1 (8.7), respectively, and a -0.3% mean change in weight was observed. In the RC group, mean (SD) BMI was 28.2 (5.0) at the initiation of adjuvant chemotherapy and 28.4 (5.0) at its completion, with a +2.6% mean change in weight.

In the immediate postoperative period, most patients were losing weight in both the CC and RC groups (mean, -3.5% and -7.0% at 1 month postoperative, respectively). At 1-year after surgery, patients had modest mean increases in weight: +1.3% for patients with CC and +4.9% for patients with RC.

A relatively large proportion of patients had missing data on weights at various data points (Table 4). 
Table 4
Preoperative weight trends were hampered by this limitation. Of the 115 patients, only 62 (54%) had data available to evaluate weight dynamics from 1 year prior to time of diagnosis, 74 (64%) from 6 months prior to diagnosis, and 73 (63%) for 1 year prior to time of surgery. The trend from 6 months pre-diagnosis until the time of surgery allowed for the most complete analysis: Data were available for 88 of 115 patients (77%). Data were missing in 33 patients with RC as well; thus, data analysis is focused on the CC cohort.

 

 

Nutrition Consultations

In the CC group, preoperative nutrition consultations (either inpatient or outpatient) occurred in 17 patients (15%). Inpatient postoperative nutrition evaluations occurred in 110 patients (96%) (Table 5). 

Table 5
  Of these inpatient postoperative consultations, either oral or enteral nutritional supplements were prescribed 26 times (24%). Patients had a postoperative outpatient nutrition follow-up within 2 months postdischarge in only 14 cases (12%). Of 15 patients who were readmitted to the hospital, 11 (69%) had a nutrition reconsultation on readmission.

In the RC group, preoperative inpatient or outpatient nutrition consultations occurred in 12 patients (36%). Eight of those occurred before initiation of neoadjuvant chemoradiotherapy. All 33 patients received an inpatient postoperative nutrition evaluation during admission. Oral or enteral nutrition supplements were prescribed 19 times (58%). Postoperative outpatient nutrition consultations occurred for 24 patients (73%). Of the 19 patients who were readmitted to the hospital, 3 (16%) had a nutrition reconsultation on readmission.

Outcomes

The primary outcomes observed were delayed recovery, hospital readmission and LOS, and completion of adjuvant chemotherapy as indicated. Delayed recovery was observed in 35 patients with CC (40%) and 21 patients with RC (64%). Multivariable analysis in the CC cohort demonstrated that weight change was significantly associated with delayed recovery. Among those with ≥ 3% weight loss in the 6-month preoperative period (the weight measurement 6 months prior to diagnosis to date of surgery), 20 patients (63%) had delayed recovery compared with 15 patients (27%) without ≥ 3% weight loss who experienced delayed recovery (χ2 = 10.84; P < .001).

Weight loss of ≥ 3% in the 6-month preoperative period also was significantly associated with complications. Of patients with at least 3% preoperative weight loss, 16 (50%) experienced complications, while 8 (14%) with < 3% preoperative weight loss experienced complications (χ2 = 11.20; P < .001). Notably, ≥ 3% weight loss in the 1-year preoperative period before surgery was not significantly associated with delayed recovery. Any degree of 30-day postoperative weight loss was not correlated with delayed recovery. Finally, low preoperative albumin also was not correlated with delayed recovery (Fisher exact; P = .13). Table 3 displays differences based on presence of delayed recovery in the 88 patients with CC 6 months before surgery. Of note, ≥ 10-lb weight loss in the 6 months preceding surgery also correlated with delayed recovery (P = .01).In our cohort, 3% weight loss over 6 months had a sensitivity of 57%, specificity of 77%, positive predictive value 63%, and negative predictive value 73% for delayed recovery. By comparison, a 10-lb weight loss in 6 months per ASPEN criteria had a sensitivity of 40%, specificity of 85%, positive predictive value 64%, and negative predictive value 68% for delayed recovery.

Hospital Readmissions and LOS

Hospital readmissions occurred within the first 30 days in 11 patients (10%) in the CC cohort and 12 patients (36%) in the RC cohort. Readmissions occurred between 31 and 60 days in 4 (3%) and 7 (21%) of CC and RC cohorts, respectively. The presence of ≥ 3% weight loss in the 6-month preoperative period was significantly associated with 60-day readmissions. Among those with ≥ 3% preoperative weight loss, 8 patients (25%) had readmissions within 60 days vs 3 patients (5%) without 3% preoperative weight loss who had readmissions within 60 days (Fisher exact; P = .02).

 

 

Mean (SD) LOS was 6.4 (4.7) days (range, 1-28) for patients with CC and 8.8 (5.1) days (range, 3-23) for patients with RC. Mean (SD) LOS increased to 10.2 (4.3) days and 9.7 (6.0) days in patients with delayed recovery in the CC and RC cohorts, respectively. The mean (SD) LOS was 5.2 (2.8) days and 6.3 (2.2) days in patients without delayed recovery in the CC and RC cohorts, respectively. There was no significant difference when examining association between percent weight change and LOS for either initial admission (rs= -0.1409; 2-tailed P = .19) or for initial and readmission combined (rs = -0.13532; 2-tailed P = .21) within the CC cohort.

Chemotherapy

Within the CC cohort, 31 patients (27%) had an indication for adjuvant chemotherapy. Of these, 25 of 31 (81%) started chemotherapy within 12 weeks of surgical resection, and of these, 17 of 25 patients (68%) completed chemotherapy as indicated. Within the RC cohort all 33 patients had an indication for adjuvant chemotherapy, of these 18 of 33 patients (55%) began within 12 weeks of surgical resection, and 10 of 18 (56%) completed chemotherapy as indicated.

Among the CC cohort who began but did not complete adjuvant chemotherapy, there was no significant association between completion of chemotherapy and preoperative weight loss. Of patients with ≥ 3% preoperative weight loss, 3 (43%) did not complete chemotherapy vs 3 patients (27%) without preoperative weight loss who did not complete chemotherapy as indicated (Fisher exact; P = .63). Finally, low preoperative albumin did not significantly correlate with lack of completion of adjuvant chemotherapy (Fisher exact; P = .99).

Discussion

This study highlights several important findings. There were no patients in our cohort that met ASPEN malnourishment criteria with a BMI < 18.5. Twenty percent of patients lost at least 10 lb in 6 months before the operation. Notably, patients had significant associations with adverse outcomes with less pronounced weight loss than previously noted. As has been established previously, malnourishment can be difficult to screen for, and BMI also is often an imprecise tool.12 In the CC cohort, weight loss ≥ 3% from 6 months before surgery was significantly associated with delayed recovery, complications, and hospital readmissions. We did not identify a statistically significant effect on chemotherapy completion. However, the numerical difference was suggestive of a difference, and a type 2 error is possible due to our limited sample size.

Our findings imply that the effects of even mild malnutrition are even more profound than previously thought. Significantly, this applies to overweight and obese patients as well, as these constituted a significant fraction of our cohort. A finding of ≥ 3% weight loss at the time of CC diagnosis may provide an opportunity for a focused nutrition intervention up to the time of surgery. Second, although nutrition consultation was frequent in the inpatient setting during the hospital admission (96%-100%), rates of nutrition evaluation were as low as 15% before surgery and 12% after surgery, representing a key area for improvement and focused intervention. An optimal time for intervention and nutrition prehabilitation would be at time of diagnosis before surgery with plans for continued aggressive monitoring and subsequent follow-up. Our finding seems to provide a more sensitive tool to identify patients at risk for delayed recovery compared with the ASPEN-driven assessment. Given the simplicity and the clinical significance, our test consisting of 3% weight loss over 6 months, with its sensitivity of 57%, may be superior to the ASPEN 10-lb weight loss, with its sensitivity of 40% in our cohort.

 

 

Previous Studies

Our findings are consistent with previous studies that have demonstrated that perioperative weight loss and malnutrition are correlated with delayed recovery and complications, such as wound healing, in patients with GI cancer.2,4,5,8 In a retrospective study of more than 7000 patients with CC, those who were overweight or obese were found to have an improved overall survival compared with other BMI categories, and those who were underweight had an increased 30-day mortality and postoperative complications.16

In another retrospective study of 3799 patients with CC, those who were overweight and obese had an improved 5-year survival rate compared with patients whose weight was normal or underweight. Outcomes were found to be stage dependent.17 In this study cohort, all patients were either overweight or obese and remained in that category even with weight loss. This may have contributed to overall improved outcomes.

Implications and Next Steps

Our study has several implications. One is that BMI criteria < 18.5 may not be a good measure for malnutrition given that about 75% of the patients in our cohort were overweight or obese and none were underweight. We also show a concrete, easily identifiable finding of percent weight change that could be addressed as an automated electronic notification and potentially identify a patient at risk and serve as a trigger for both timely and early nutrition intervention. It seems to be more sensitive than the ASPEN criterion of 10-lb weight loss in 6 months before surgery. Sensitivity is especially appealing given the ease and potential of embedding this tool in an electronic health record and the clinical importance of the consequent intervention. Preoperative as opposed to perioperative nutrition optimization at time of CC diagnosis is essential, as it may help improve postsurgical outcomes as well as oncologic outcomes, including completion of adjuvant chemotherapy. Finally, although our study found that rates of inpatient postoperative nutrition consultation were high, rates of outpatient nutrition consultation in the preoperative period were low. This represents a missed opportunity for intervention before surgery. Similarly, rates of postoperative nutrition follow-up period were low, which points to an area for improvement in longitudinal and holistic care.

We suggest modifications to nutrition intervention protocols, such as ERAS, which should start at the time of GI malignancy diagnosis.18 Other suggestions include standard involvement of nutritionists in inpatient and outpatient settings with longitudinal follow-up in the preoperative and postoperative periods and patient enrollment in a nutrition program with monitoring at time of diagnosis at the VHA. Our findings as well as previous literature suggest that the preoperative period is the most important time to intervene with regard to nutrition optimization and represents an opportunity for intensive prehabilitation. Future areas of research include incorporating other important measures of malnourishment independent of BMI into future study designs, such as sarcopenia and adipose tissue density, to better assess body composition and predict prognostic risk in CC.18,19

Strengths and Limitations

This study is limited by its single-center, retrospective design and small sample sizes, and we acknowledge the limitations of our data set. However, the strength of this VHA-based study is that the single-payer system allows for complete capture of perioperative data as well as the opportunity for focused preoperative interventions to improve outcomes. To our knowledge, there is no currently existing literature on improving nutrition protocols at the VHA for patients with a GI malignancy. These retrospective data will help inform current gaps in quality improvement and supportive oncology as it relates to optimizing malnourishment in veterans undergoing surgical resection for their cancer.

 

 

Conclusions

In the CC cohort, weight loss of ≥ 3% from 6 months prior to time of surgery was significantly associated with delayed recovery, complications, and hospital readmissions. Our findings suggest that patients with CC undergoing surgery may benefit from an intensive, early nutrition prehabilitation. Preoperative nutrition optimization may help improve postsurgical outcomes as well as oncologic outcomes, including completion of adjuvant chemotherapy. Further research would be able to clarify these hypotheses.

References

1. Benoist S, Brouquet A. Nutritional assessment and screening for malnutrition. J Visc Surg. 2015;152:S3-S7. doi:10.1016/S1878-7886(15)30003-5

2. Hébuterne X, Lemarié E, Michallet M, de Montreuil CB, Schneider SM, Goldwasser F. Prevalence of malnutrition and current use of nutrition support in patients with cancer. J Parenter Enter Nutr. 2014;38(2):196-204. doi:10.1177/0148607113502674

3. Van Cutsem E, Arends J. The causes and consequences of cancer-associated malnutrition. Eur J Oncol Nurs. 2005;9:S51-S63. doi:10.1016/j.ejon.2005.09.007

4. Nishiyama VKG, Albertini SM, de Moraes CMZG, et al. Malnutrition and clinical outcomes in surgical patients with colorectal disease. Arq Gastroenterol. 2018;55(4):397-402. doi:10.1590/s0004-2803.201800000-85

5. Shpata V, Prendushi X, Kreka M, Kola I, Kurti F, Ohri I. Malnutrition at the time of surgery affects negatively the clinical outcome of critically ill patients with gastrointestinal cancer. Med Arch Sarajevo Bosnia Herzeg. 2014;68(4):263-267. doi:10.5455/medarh.2014.68.263-267

6. Lim HS, Cho GS, Park YH, Kim SK. Comparison of quality of life and nutritional status in gastric cancer patients undergoing gastrectomies. Clin Nutr Res. 2015;4(3):153-159. doi:10.7762/cnr.2015.4.3.153

7. Bozzetti F, Gavazzi C, Miceli R, et al. Perioperative total parenteral nutrition in malnourished, gastrointestinal cancer patients: a randomized, clinical trial. J Parenter Enter Nutr. 2000;24(1):7-14. doi:10.1177/014860710002400107

8. Bozzetti F, Gianotti L, Braga M, Di Carlo V, Mariani L. Postoperative complications in gastrointestinal cancer patients: the joint role of the nutritional status and the nutritional support. Clin Nutr. 2007;26(6):698-709. doi:10.1016/j.clnu.2007.06.009

9. Bozzetti F, Braga M, Gianotti L, Gavazzi C, Mariani L. Postoperative enteral versus parenteral nutrition in malnourished patients with gastrointestinal cancer: a randomised multicentre trial. Lancet. 2001; 358(9292):1487-1492. doi:10.1016/S0140-6736(01)06578-3

10. Meng Q, Tan S, Jiang Y, et al. Post-discharge oral nutritional supplements with dietary advice in patients at nutritional risk after surgery for gastric cancer: a randomized clinical trial. Clin Nutr Edinb Scotl. 2021;40(1):40-46. doi:10.1016/j.clnu.2020.04.043 start

11. White JV, Guenter P, Jensen G, Malone A, Schofield M. Consensus statement of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). J Acad Nutr Diet. 2012;112(5):730-738. doi:10.1016/j.jand.2012.03.012

12. Jones JM. The methodology of nutritional screening and assessment tools. J Hum Nutr Diet. 2002;15(1):59-71. doi:10.1046/j.1365-277X.2002.00327.x

13. Williams J, Wischmeyer P. Assessment of perioperative nutrition practices and attitudes—a national survey of colorectal and GI surgical oncology programs. Am J Surg. 2017;213(6):1010-1018. doi:10.1016/j.amjsurg.2016.10.008

14. Williams DG, Aronson S, Murray S, et al. Validation of the perioperative nutrition screen for prediction of postoperative outcomes. JPEN J Parenter Enteral Nutr. 2022;46(6):1307-1315. doi:10.1002/jpen.2310

15. Besson AJ, Kei C, Djordjevic A, Carter V, Deftereos I, Yeung J. Does implementation of and adherence to enhanced recovery after surgery improve perioperative nutritional management in colorectal cancer surgery? ANZ J Surg. 2022;92(6):1382-1387. doi:10.1111/ans.17599

16. Arkenbosch JHC, van Erning FN, Rutten HJ, Zimmerman D, de Wilt JHW, Beijer S. The association between body mass index and postoperative complications, 30-day mortality and long-term survival in Dutch patients with colorectal cancer. Eur J Surg Oncol J Eur Soc Surg Oncol Br Assoc Surg Oncol. 2019;45(2):160-166. doi:10.1016/j.ejso.2018.09.012

17. Shahjehan F, Merchea A, Cochuyt JJ, Li Z, Colibaseanu DT, Kasi PM. Body mass index and long-term outcomes in patients with colorectal cancer. Front Oncol. 2018;8:620. doi:10.3389/fonc.2018.00620

18. Nishigori T, Obama K, Sakai Y. Assessment of body composition and impact of sarcopenia and sarcopenic obesity in patients with gastric cancer. Transl Gastroenterol Hepatol. 2020;5:22. doi:10.21037/tgh.2019.10.13

19. Feliciano EMC, Winkels RM, Meyerhardt JA, Prado CM, Afman LA, Caan BJ. Abdominal adipose tissue radiodensity is associated with survival after colorectal cancer. Am J Clin Nutr. 2021;114(6):1917-1924. doi:10.1093/ajcn/nqab285

References

1. Benoist S, Brouquet A. Nutritional assessment and screening for malnutrition. J Visc Surg. 2015;152:S3-S7. doi:10.1016/S1878-7886(15)30003-5

2. Hébuterne X, Lemarié E, Michallet M, de Montreuil CB, Schneider SM, Goldwasser F. Prevalence of malnutrition and current use of nutrition support in patients with cancer. J Parenter Enter Nutr. 2014;38(2):196-204. doi:10.1177/0148607113502674

3. Van Cutsem E, Arends J. The causes and consequences of cancer-associated malnutrition. Eur J Oncol Nurs. 2005;9:S51-S63. doi:10.1016/j.ejon.2005.09.007

4. Nishiyama VKG, Albertini SM, de Moraes CMZG, et al. Malnutrition and clinical outcomes in surgical patients with colorectal disease. Arq Gastroenterol. 2018;55(4):397-402. doi:10.1590/s0004-2803.201800000-85

5. Shpata V, Prendushi X, Kreka M, Kola I, Kurti F, Ohri I. Malnutrition at the time of surgery affects negatively the clinical outcome of critically ill patients with gastrointestinal cancer. Med Arch Sarajevo Bosnia Herzeg. 2014;68(4):263-267. doi:10.5455/medarh.2014.68.263-267

6. Lim HS, Cho GS, Park YH, Kim SK. Comparison of quality of life and nutritional status in gastric cancer patients undergoing gastrectomies. Clin Nutr Res. 2015;4(3):153-159. doi:10.7762/cnr.2015.4.3.153

7. Bozzetti F, Gavazzi C, Miceli R, et al. Perioperative total parenteral nutrition in malnourished, gastrointestinal cancer patients: a randomized, clinical trial. J Parenter Enter Nutr. 2000;24(1):7-14. doi:10.1177/014860710002400107

8. Bozzetti F, Gianotti L, Braga M, Di Carlo V, Mariani L. Postoperative complications in gastrointestinal cancer patients: the joint role of the nutritional status and the nutritional support. Clin Nutr. 2007;26(6):698-709. doi:10.1016/j.clnu.2007.06.009

9. Bozzetti F, Braga M, Gianotti L, Gavazzi C, Mariani L. Postoperative enteral versus parenteral nutrition in malnourished patients with gastrointestinal cancer: a randomised multicentre trial. Lancet. 2001; 358(9292):1487-1492. doi:10.1016/S0140-6736(01)06578-3

10. Meng Q, Tan S, Jiang Y, et al. Post-discharge oral nutritional supplements with dietary advice in patients at nutritional risk after surgery for gastric cancer: a randomized clinical trial. Clin Nutr Edinb Scotl. 2021;40(1):40-46. doi:10.1016/j.clnu.2020.04.043 start

11. White JV, Guenter P, Jensen G, Malone A, Schofield M. Consensus statement of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). J Acad Nutr Diet. 2012;112(5):730-738. doi:10.1016/j.jand.2012.03.012

12. Jones JM. The methodology of nutritional screening and assessment tools. J Hum Nutr Diet. 2002;15(1):59-71. doi:10.1046/j.1365-277X.2002.00327.x

13. Williams J, Wischmeyer P. Assessment of perioperative nutrition practices and attitudes—a national survey of colorectal and GI surgical oncology programs. Am J Surg. 2017;213(6):1010-1018. doi:10.1016/j.amjsurg.2016.10.008

14. Williams DG, Aronson S, Murray S, et al. Validation of the perioperative nutrition screen for prediction of postoperative outcomes. JPEN J Parenter Enteral Nutr. 2022;46(6):1307-1315. doi:10.1002/jpen.2310

15. Besson AJ, Kei C, Djordjevic A, Carter V, Deftereos I, Yeung J. Does implementation of and adherence to enhanced recovery after surgery improve perioperative nutritional management in colorectal cancer surgery? ANZ J Surg. 2022;92(6):1382-1387. doi:10.1111/ans.17599

16. Arkenbosch JHC, van Erning FN, Rutten HJ, Zimmerman D, de Wilt JHW, Beijer S. The association between body mass index and postoperative complications, 30-day mortality and long-term survival in Dutch patients with colorectal cancer. Eur J Surg Oncol J Eur Soc Surg Oncol Br Assoc Surg Oncol. 2019;45(2):160-166. doi:10.1016/j.ejso.2018.09.012

17. Shahjehan F, Merchea A, Cochuyt JJ, Li Z, Colibaseanu DT, Kasi PM. Body mass index and long-term outcomes in patients with colorectal cancer. Front Oncol. 2018;8:620. doi:10.3389/fonc.2018.00620

18. Nishigori T, Obama K, Sakai Y. Assessment of body composition and impact of sarcopenia and sarcopenic obesity in patients with gastric cancer. Transl Gastroenterol Hepatol. 2020;5:22. doi:10.21037/tgh.2019.10.13

19. Feliciano EMC, Winkels RM, Meyerhardt JA, Prado CM, Afman LA, Caan BJ. Abdominal adipose tissue radiodensity is associated with survival after colorectal cancer. Am J Clin Nutr. 2021;114(6):1917-1924. doi:10.1093/ajcn/nqab285

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Home sleep apnea test: Peripheral arterial tonometry

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Sleep Medicine Network

Respiratory-related Sleep Disorders Section

Home sleep apnea test: Peripheral arterial tonometry

OSA is associated with serious health consequences and increased health care utilization (Kapur V, et al. Sleep. 1999:22[6]:749).

Polysomnography (PSG) is the gold standard for diagnosis, but is expensive, cumbersome, and inconsistently accessible. Home sleep apnea test (HSAT) devices provide a cost effective, convenient method to diagnose OSA and are non-inferior to PSG when considering treatment outcomes in uncomplicated adults with suggestive symptoms (Kapur VK, et al. J Clin Sleep Med. 2017;13[3]:479; Skomro RP, et al. Chest. 2010;138[2]:257).

Utilization of HSAT devices has increased in recent years, partly due to the COVID-19 pandemic and limitations in insurance reimbursement for PSG as the initial diagnostic test. But while there are benefits to home testing with respect to convenience and increased access, we must take the clinical context into account.

Peripheral arterial tonometry (PAT) is a commonly used HSAT technology, which measures peripheral arterial vascular tone using plethysmography at the fingertip. It has a sensitivity of 80% and specificity of 83% for detecting OSA in patients without significant comorbidities and high pretest probability of OSA compared to PSG (Ward KL, et al. J Clin Sleep Med. 2015;11[4]:433). But PAT has also been criticized for lacking diagnostic accuracy, particularly when including patients with mild OSA in analysis (Ichikawa M, et al. J Sleep Res. 2022;31[6]:e13682).

HSAT devices using PAT technology have been studied in patients with atrial fibrillation (Tauman R, et al. Nat Sci Sleep. 2020;12:1115), adolescents (Choi JH, et al. J Clin Sleep Med. 2018;14[10]:1741), and pregnant women (O’Brien LM, et al. J Clin Sleep Med. 2012;8[3]:287), and to assess OSA treatment adequacy with varying sensitivity and specificity. Study in special populations may allow for increased access to testing with the benefit of increased recognition of a generally underdiagnosed disorder. But it’s important to use HSAT alongside awareness of its limitations and it should not replace good clinical judgment when making treatment decisions.

Dimple Tejwani, MD

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Kara Dupuy-McCauley, MD

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Respiratory-related Sleep Disorders Section

Home sleep apnea test: Peripheral arterial tonometry

OSA is associated with serious health consequences and increased health care utilization (Kapur V, et al. Sleep. 1999:22[6]:749).

Polysomnography (PSG) is the gold standard for diagnosis, but is expensive, cumbersome, and inconsistently accessible. Home sleep apnea test (HSAT) devices provide a cost effective, convenient method to diagnose OSA and are non-inferior to PSG when considering treatment outcomes in uncomplicated adults with suggestive symptoms (Kapur VK, et al. J Clin Sleep Med. 2017;13[3]:479; Skomro RP, et al. Chest. 2010;138[2]:257).

Utilization of HSAT devices has increased in recent years, partly due to the COVID-19 pandemic and limitations in insurance reimbursement for PSG as the initial diagnostic test. But while there are benefits to home testing with respect to convenience and increased access, we must take the clinical context into account.

Peripheral arterial tonometry (PAT) is a commonly used HSAT technology, which measures peripheral arterial vascular tone using plethysmography at the fingertip. It has a sensitivity of 80% and specificity of 83% for detecting OSA in patients without significant comorbidities and high pretest probability of OSA compared to PSG (Ward KL, et al. J Clin Sleep Med. 2015;11[4]:433). But PAT has also been criticized for lacking diagnostic accuracy, particularly when including patients with mild OSA in analysis (Ichikawa M, et al. J Sleep Res. 2022;31[6]:e13682).

HSAT devices using PAT technology have been studied in patients with atrial fibrillation (Tauman R, et al. Nat Sci Sleep. 2020;12:1115), adolescents (Choi JH, et al. J Clin Sleep Med. 2018;14[10]:1741), and pregnant women (O’Brien LM, et al. J Clin Sleep Med. 2012;8[3]:287), and to assess OSA treatment adequacy with varying sensitivity and specificity. Study in special populations may allow for increased access to testing with the benefit of increased recognition of a generally underdiagnosed disorder. But it’s important to use HSAT alongside awareness of its limitations and it should not replace good clinical judgment when making treatment decisions.

Dimple Tejwani, MD

Member-at-Large

Kara Dupuy-McCauley, MD

Member-at-Large

 

Sleep Medicine Network

Respiratory-related Sleep Disorders Section

Home sleep apnea test: Peripheral arterial tonometry

OSA is associated with serious health consequences and increased health care utilization (Kapur V, et al. Sleep. 1999:22[6]:749).

Polysomnography (PSG) is the gold standard for diagnosis, but is expensive, cumbersome, and inconsistently accessible. Home sleep apnea test (HSAT) devices provide a cost effective, convenient method to diagnose OSA and are non-inferior to PSG when considering treatment outcomes in uncomplicated adults with suggestive symptoms (Kapur VK, et al. J Clin Sleep Med. 2017;13[3]:479; Skomro RP, et al. Chest. 2010;138[2]:257).

Utilization of HSAT devices has increased in recent years, partly due to the COVID-19 pandemic and limitations in insurance reimbursement for PSG as the initial diagnostic test. But while there are benefits to home testing with respect to convenience and increased access, we must take the clinical context into account.

Peripheral arterial tonometry (PAT) is a commonly used HSAT technology, which measures peripheral arterial vascular tone using plethysmography at the fingertip. It has a sensitivity of 80% and specificity of 83% for detecting OSA in patients without significant comorbidities and high pretest probability of OSA compared to PSG (Ward KL, et al. J Clin Sleep Med. 2015;11[4]:433). But PAT has also been criticized for lacking diagnostic accuracy, particularly when including patients with mild OSA in analysis (Ichikawa M, et al. J Sleep Res. 2022;31[6]:e13682).

HSAT devices using PAT technology have been studied in patients with atrial fibrillation (Tauman R, et al. Nat Sci Sleep. 2020;12:1115), adolescents (Choi JH, et al. J Clin Sleep Med. 2018;14[10]:1741), and pregnant women (O’Brien LM, et al. J Clin Sleep Med. 2012;8[3]:287), and to assess OSA treatment adequacy with varying sensitivity and specificity. Study in special populations may allow for increased access to testing with the benefit of increased recognition of a generally underdiagnosed disorder. But it’s important to use HSAT alongside awareness of its limitations and it should not replace good clinical judgment when making treatment decisions.

Dimple Tejwani, MD

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Kara Dupuy-McCauley, MD

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Emerging role of tele-rehab: Efficacy and challenges

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Diffuse Lung Disease and Transplant Network

Pulmonary Physiology and Rehabilitation Section

Pulmonary rehabilitation (PR) is an essential component of the management of chronic pulmonary disease. Interest in alternate PR delivery methods has grown in recent years. The official workshop report of the American Thoracic Society (Holland AE, et al. Ann Am Thorac Soc. 2021;18[5]:e12) identified 13 essential components of PR in response to new program models. They encompass patient assessment, program content, method of delivery, and quality assurance, and serve as a guide for successful implementation of emerging programs.

A recent study reported significant improvement in COPD Assessment Test (CAT) scores after PR in both in-person (n=383) and virtual programs (n=171). Similar improvements were found in health outcomes, attendance, and dropout rate (Huynh VC, et al. Chest. 2023;163[3]:529). Another concurrent 3-year prospective study enrolled COPD patients in standard PR (n=89) or community based tele-PR (n=177) at seven tele-sites and one standard site (Alwakeel AJ, et al. Ann Am Thorac Soc. 2022;19[1]:39).

This study established the accessibility, feasibility, and safety of a community based tele-PR program and noted no differences between groups in 6-minute walk test or CAT score improvement. On follow-up, only tele-PR participants had persistent improvements of CAT scores beyond 1 month after completion.

Ongoing challenges with tele-PR include standardization of programs and of initial clinical evaluations that determine eligibility for them. Patients on home oxygen and those with exercise desaturation are often excluded, but they have the most potential for improvement. Studies are needed to determine the characteristics of patients who would benefit most from non-traditional models of PR.

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Pulmonary rehabilitation (PR) is an essential component of the management of chronic pulmonary disease. Interest in alternate PR delivery methods has grown in recent years. The official workshop report of the American Thoracic Society (Holland AE, et al. Ann Am Thorac Soc. 2021;18[5]:e12) identified 13 essential components of PR in response to new program models. They encompass patient assessment, program content, method of delivery, and quality assurance, and serve as a guide for successful implementation of emerging programs.

A recent study reported significant improvement in COPD Assessment Test (CAT) scores after PR in both in-person (n=383) and virtual programs (n=171). Similar improvements were found in health outcomes, attendance, and dropout rate (Huynh VC, et al. Chest. 2023;163[3]:529). Another concurrent 3-year prospective study enrolled COPD patients in standard PR (n=89) or community based tele-PR (n=177) at seven tele-sites and one standard site (Alwakeel AJ, et al. Ann Am Thorac Soc. 2022;19[1]:39).

This study established the accessibility, feasibility, and safety of a community based tele-PR program and noted no differences between groups in 6-minute walk test or CAT score improvement. On follow-up, only tele-PR participants had persistent improvements of CAT scores beyond 1 month after completion.

Ongoing challenges with tele-PR include standardization of programs and of initial clinical evaluations that determine eligibility for them. Patients on home oxygen and those with exercise desaturation are often excluded, but they have the most potential for improvement. Studies are needed to determine the characteristics of patients who would benefit most from non-traditional models of PR.

Fatima Zeba, MD

Fellow-in-Training

Rania Abdallah, MD

Member-at-Large

Malik Khurram Khan, MD

Member-at-Large

 

Diffuse Lung Disease and Transplant Network

Pulmonary Physiology and Rehabilitation Section

Pulmonary rehabilitation (PR) is an essential component of the management of chronic pulmonary disease. Interest in alternate PR delivery methods has grown in recent years. The official workshop report of the American Thoracic Society (Holland AE, et al. Ann Am Thorac Soc. 2021;18[5]:e12) identified 13 essential components of PR in response to new program models. They encompass patient assessment, program content, method of delivery, and quality assurance, and serve as a guide for successful implementation of emerging programs.

A recent study reported significant improvement in COPD Assessment Test (CAT) scores after PR in both in-person (n=383) and virtual programs (n=171). Similar improvements were found in health outcomes, attendance, and dropout rate (Huynh VC, et al. Chest. 2023;163[3]:529). Another concurrent 3-year prospective study enrolled COPD patients in standard PR (n=89) or community based tele-PR (n=177) at seven tele-sites and one standard site (Alwakeel AJ, et al. Ann Am Thorac Soc. 2022;19[1]:39).

This study established the accessibility, feasibility, and safety of a community based tele-PR program and noted no differences between groups in 6-minute walk test or CAT score improvement. On follow-up, only tele-PR participants had persistent improvements of CAT scores beyond 1 month after completion.

Ongoing challenges with tele-PR include standardization of programs and of initial clinical evaluations that determine eligibility for them. Patients on home oxygen and those with exercise desaturation are often excluded, but they have the most potential for improvement. Studies are needed to determine the characteristics of patients who would benefit most from non-traditional models of PR.

Fatima Zeba, MD

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Rania Abdallah, MD

Member-at-Large

Malik Khurram Khan, MD

Member-at-Large

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Study shifts burden of IgG4-related disease to women

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Tue, 05/09/2023 - 18:04

The incidence and prevalence of IgG4-related disease each rose considerably from 2015 to 2019 in the United States, and the risk of death in those with the immune-mediated condition is about 2.5 times higher than those who are not affected, based on an analysis of claims data from commercially insured adults.

The first population-based study of IgG4-RD incidence, prevalence, and mortality establishes “key benchmarks for informing the diagnosis and management of patients” with a condition “that causes fibrosing inflammatory lesions at nearly any anatomic site,” and wasn’t initially described until 2001, Zachary S. Wallace, MD, and associates said in Annals of the Rheumatic Diseases.

The increases in incidence and prevalence likely reflected increased disease awareness, they suggested. Overall U.S. incidence was 1.2 per 100,000 person-years for the 5-year period of 2015-2019, rising 86% from 0.78 per 100,000 person-years to 1.45 in 2018 before dropping to 1.39 in 2019. The change in prevalence was even greater, increasing 122% from 2.41 per 100,000 persons in 2015 to 5.34 per 100,000 in 2019, the investigators said.

Previous studies had indicated that the majority of patients with IgG4-RD were male, but the current study, using Optum’s Clinformatics Data Mart, which includes commercial health plan and Medicare Advantage members in all 50 states, showed that both incidence and prevalence (see graph) were higher among women, noted Dr. Wallace of Massachusetts General Hospital, Boston, and associates. They identified 524 patients (57.6% female) in the database who met the criteria for IgG4-RD from Jan. 1, 2010, to Dec. 31, 2019.

Incidence over the course of the study “was similar in patients identified as Asian or White but lower in those identified as Black or Hispanic,” they noted, adding that “the prevalence of IgG4-RD during this period reflected similar trends.” A jump in prevalence from 2018 to 2019, however, left White patients with a much higher rate (6.13 per 100,000 persons) than Asian patients (4.54 per 100,000), Black patients (3.42), and Hispanic patients (3.02).

For the mortality analysis, 516 patients with IgG4-RD were age-, sex-, and race-matched with 5,160 patients without IgG4-RD. Mortality was 3.42 and 1.46 per 100 person-years, respectively, over the 5.5 years of follow-up, so IgG4-RD was associated with a 2.5-fold higher risk of death. “The association of IgG4-RD with a higher risk of death was observed across the age spectrum and among both male and female patients,” the researchers said.

Dr. Zachary S. Wallace


“Clinicians across specialties should be aware of IgG4-RD given the incidence, prevalence, and excess risk of death associated with this condition. ... Additional studies are urgently needed to define optimal management strategies to improve survival,” they wrote.

The study was supported by a grant to Massachusetts General Hospital from Sanofi, and Dr. Wallace received funding from the National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases, and the Rheumatology Research Foundation. He has received research support and consulting fees from several companies, and four coinvestigators are employees of Sanofi.

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The incidence and prevalence of IgG4-related disease each rose considerably from 2015 to 2019 in the United States, and the risk of death in those with the immune-mediated condition is about 2.5 times higher than those who are not affected, based on an analysis of claims data from commercially insured adults.

The first population-based study of IgG4-RD incidence, prevalence, and mortality establishes “key benchmarks for informing the diagnosis and management of patients” with a condition “that causes fibrosing inflammatory lesions at nearly any anatomic site,” and wasn’t initially described until 2001, Zachary S. Wallace, MD, and associates said in Annals of the Rheumatic Diseases.

The increases in incidence and prevalence likely reflected increased disease awareness, they suggested. Overall U.S. incidence was 1.2 per 100,000 person-years for the 5-year period of 2015-2019, rising 86% from 0.78 per 100,000 person-years to 1.45 in 2018 before dropping to 1.39 in 2019. The change in prevalence was even greater, increasing 122% from 2.41 per 100,000 persons in 2015 to 5.34 per 100,000 in 2019, the investigators said.

Previous studies had indicated that the majority of patients with IgG4-RD were male, but the current study, using Optum’s Clinformatics Data Mart, which includes commercial health plan and Medicare Advantage members in all 50 states, showed that both incidence and prevalence (see graph) were higher among women, noted Dr. Wallace of Massachusetts General Hospital, Boston, and associates. They identified 524 patients (57.6% female) in the database who met the criteria for IgG4-RD from Jan. 1, 2010, to Dec. 31, 2019.

Incidence over the course of the study “was similar in patients identified as Asian or White but lower in those identified as Black or Hispanic,” they noted, adding that “the prevalence of IgG4-RD during this period reflected similar trends.” A jump in prevalence from 2018 to 2019, however, left White patients with a much higher rate (6.13 per 100,000 persons) than Asian patients (4.54 per 100,000), Black patients (3.42), and Hispanic patients (3.02).

For the mortality analysis, 516 patients with IgG4-RD were age-, sex-, and race-matched with 5,160 patients without IgG4-RD. Mortality was 3.42 and 1.46 per 100 person-years, respectively, over the 5.5 years of follow-up, so IgG4-RD was associated with a 2.5-fold higher risk of death. “The association of IgG4-RD with a higher risk of death was observed across the age spectrum and among both male and female patients,” the researchers said.

Dr. Zachary S. Wallace


“Clinicians across specialties should be aware of IgG4-RD given the incidence, prevalence, and excess risk of death associated with this condition. ... Additional studies are urgently needed to define optimal management strategies to improve survival,” they wrote.

The study was supported by a grant to Massachusetts General Hospital from Sanofi, and Dr. Wallace received funding from the National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases, and the Rheumatology Research Foundation. He has received research support and consulting fees from several companies, and four coinvestigators are employees of Sanofi.

The incidence and prevalence of IgG4-related disease each rose considerably from 2015 to 2019 in the United States, and the risk of death in those with the immune-mediated condition is about 2.5 times higher than those who are not affected, based on an analysis of claims data from commercially insured adults.

The first population-based study of IgG4-RD incidence, prevalence, and mortality establishes “key benchmarks for informing the diagnosis and management of patients” with a condition “that causes fibrosing inflammatory lesions at nearly any anatomic site,” and wasn’t initially described until 2001, Zachary S. Wallace, MD, and associates said in Annals of the Rheumatic Diseases.

The increases in incidence and prevalence likely reflected increased disease awareness, they suggested. Overall U.S. incidence was 1.2 per 100,000 person-years for the 5-year period of 2015-2019, rising 86% from 0.78 per 100,000 person-years to 1.45 in 2018 before dropping to 1.39 in 2019. The change in prevalence was even greater, increasing 122% from 2.41 per 100,000 persons in 2015 to 5.34 per 100,000 in 2019, the investigators said.

Previous studies had indicated that the majority of patients with IgG4-RD were male, but the current study, using Optum’s Clinformatics Data Mart, which includes commercial health plan and Medicare Advantage members in all 50 states, showed that both incidence and prevalence (see graph) were higher among women, noted Dr. Wallace of Massachusetts General Hospital, Boston, and associates. They identified 524 patients (57.6% female) in the database who met the criteria for IgG4-RD from Jan. 1, 2010, to Dec. 31, 2019.

Incidence over the course of the study “was similar in patients identified as Asian or White but lower in those identified as Black or Hispanic,” they noted, adding that “the prevalence of IgG4-RD during this period reflected similar trends.” A jump in prevalence from 2018 to 2019, however, left White patients with a much higher rate (6.13 per 100,000 persons) than Asian patients (4.54 per 100,000), Black patients (3.42), and Hispanic patients (3.02).

For the mortality analysis, 516 patients with IgG4-RD were age-, sex-, and race-matched with 5,160 patients without IgG4-RD. Mortality was 3.42 and 1.46 per 100 person-years, respectively, over the 5.5 years of follow-up, so IgG4-RD was associated with a 2.5-fold higher risk of death. “The association of IgG4-RD with a higher risk of death was observed across the age spectrum and among both male and female patients,” the researchers said.

Dr. Zachary S. Wallace


“Clinicians across specialties should be aware of IgG4-RD given the incidence, prevalence, and excess risk of death associated with this condition. ... Additional studies are urgently needed to define optimal management strategies to improve survival,” they wrote.

The study was supported by a grant to Massachusetts General Hospital from Sanofi, and Dr. Wallace received funding from the National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases, and the Rheumatology Research Foundation. He has received research support and consulting fees from several companies, and four coinvestigators are employees of Sanofi.

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New USPSTF draft suggests mammography start at 40, not 50

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The U.S. Preventive Services Task Force (USPSTF) on May 9 released a draft recommendation statement and evidence review that provides critical updates to its breast cancer screening recommendations.

The major change: USPSTF proposed reducing the recommended start age for routine screening mammograms from age 50 to age 40. The latest recommendation, which carries a B grade, also calls for screening every other year and sets a cutoff age of 74.

The task force’s A and B ratings indicate strong confidence in the evidence for benefit, meaning that clinicians should encourage their patients to get these services as appropriate.

The influential federal advisory panel last updated these recommendations in 2016. At the time, USPSTF recommended routine screening mammograms starting at age 50, and gave a C grade to starting before that.

In the 2016 recommendations, “we felt a woman could start screening in her 40s depending on how she feels about the harms and benefits in an individualized personal decision,” USPSTF member John Wong, MD, chief of clinical decision making and a primary care physician at Tufts Medical Center in Boston, said in an interview. “In this draft recommendation, we now recommend that all women get screened starting at age 40.”

Two major factors prompted the change, explained Dr. Wong. One is that more women are being diagnosed with breast cancer in their 40s. The other is that a growing body of evidence showing that Black women get breast cancer younger, are more likely to die of breast cancer, and would benefit from earlier screening.

“It is now clear that screening every other year starting at age 40 has the potential to save about 20% more lives among all women and there is even greater potential benefit for Black women, who are much more likely to die from breast cancer,” Dr. Wong said.

The American Cancer Society (ACS) called the draft recommendations a “significant positive change,” while noting that the task force recommendations only apply to women at average risk for breast cancer.

The American College of Radiology (ACR) already recommends yearly mammograms for average risk women starting at age 40. Its latest guidelines on mammography call for women at higher-than-average risk for breast cancer to undergo a risk assessment by age 25 to determine if screening before age 40 is needed.

When asked about the differing views, Debra Monticciolo, MD, division chief for breast imaging at Massachusetts General Hospital, said annual screenings that follow ACR recommendations would save more lives than the every-other-year approach backed by the task force. Dr. Monticciolo also highlighted that the available scientific evidence supports earlier assessment as well as augmented and earlier-than-age-40 screening of many women – particularly Black women.

“These evidence-based updates should spur more-informed doctor–patient conversations and help providers save more lives,” Dr. Monticciolo said in a press release.
 

Insurance access

Typically, upgrading a USPSTF recommendation from C to B leads to better access and insurance coverage for patients. The Affordable Care Act (ACA) of 2010 requires insurers to cover the cost of services that get A and B recommendations from the USPSTF without charging copays – a mandate intended to promote greater use for highly regarded services.

But Congress created a special workaround that effectively makes the ACA mandate apply to the 2002 task force recommendations on mammography. In those recommendations, the task force gave a B grade to screening mammograms every 1 or 2 years starting at age 40 without an age limit. 

Federal lawmakers have sought to provide copay-free access to mammograms for this entire population even when the USPSTF recommendations in 2009 and 2016 gave a C grade to routine screening for women under 50.

Still, “it is important to note that our recommendation is based solely on the science of what works to prevent breast cancer and it is not a recommendation for or against insurance coverage,” the task force acknowledged when unveiling the new draft update. “Coverage decisions involve considerations beyond the evidence about clinical benefit, and in the end, these decisions are the responsibility of payors, regulators, and legislators.”
 

Uncertainties persist

The new draft recommendations also highlight the persistent gaps in knowledge about the uses of mammography, despite years of widespread use of this screening tool.

The updated draft recommendations emphasize the lack of sufficient evidence to address major areas of concern related to screening and treating Black women, older women, women with dense breasts, and those with ductal carcinoma in situ (DCIS).

The task force called for more research addressing the underlying causes of elevated breast cancer mortality rates among Black women.

The USPSTF also issued an ‘I’ statement for providing women with dense breasts additional screening with breast ultrasound or MRI and for screening women older than 75 for breast cancer. Such statements indicate that the available evidence is lacking, poor quality, or conflicting, and thus the USPSTF can’t assess the benefits and harms or make a recommendation for or against providing the preventive service.

“Nearly half of all women have dense breasts, which increases their risk for breast cancer and means that mammograms may not work as well for them. We need to know more about whether and how additional screening might help women with dense breasts stay healthy,” the task force explained.

The task force also called for more research on approaches to reduce the risk for overdiagnosis and overtreatment for breast lesions, such as DCIS, which are identified through screening.

One analysis – the COMET study – is currently underway to assess whether women could be spared surgery for DCIS and opt for watchful waiting instead.

“If we can find that monitoring them carefully, either with or without some sort of endocrine therapy, is just as effective in keeping patients free of invasive cancer as surgery, then I think we could help to de-escalate treatment for this very low-risk group of patients,” Shelley Hwang, MD, MPH, principal investigator of the COMET study, told this news organization in December.

The task force will accept comments from the public on this draft update through June 5.

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

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The U.S. Preventive Services Task Force (USPSTF) on May 9 released a draft recommendation statement and evidence review that provides critical updates to its breast cancer screening recommendations.

The major change: USPSTF proposed reducing the recommended start age for routine screening mammograms from age 50 to age 40. The latest recommendation, which carries a B grade, also calls for screening every other year and sets a cutoff age of 74.

The task force’s A and B ratings indicate strong confidence in the evidence for benefit, meaning that clinicians should encourage their patients to get these services as appropriate.

The influential federal advisory panel last updated these recommendations in 2016. At the time, USPSTF recommended routine screening mammograms starting at age 50, and gave a C grade to starting before that.

In the 2016 recommendations, “we felt a woman could start screening in her 40s depending on how she feels about the harms and benefits in an individualized personal decision,” USPSTF member John Wong, MD, chief of clinical decision making and a primary care physician at Tufts Medical Center in Boston, said in an interview. “In this draft recommendation, we now recommend that all women get screened starting at age 40.”

Two major factors prompted the change, explained Dr. Wong. One is that more women are being diagnosed with breast cancer in their 40s. The other is that a growing body of evidence showing that Black women get breast cancer younger, are more likely to die of breast cancer, and would benefit from earlier screening.

“It is now clear that screening every other year starting at age 40 has the potential to save about 20% more lives among all women and there is even greater potential benefit for Black women, who are much more likely to die from breast cancer,” Dr. Wong said.

The American Cancer Society (ACS) called the draft recommendations a “significant positive change,” while noting that the task force recommendations only apply to women at average risk for breast cancer.

The American College of Radiology (ACR) already recommends yearly mammograms for average risk women starting at age 40. Its latest guidelines on mammography call for women at higher-than-average risk for breast cancer to undergo a risk assessment by age 25 to determine if screening before age 40 is needed.

When asked about the differing views, Debra Monticciolo, MD, division chief for breast imaging at Massachusetts General Hospital, said annual screenings that follow ACR recommendations would save more lives than the every-other-year approach backed by the task force. Dr. Monticciolo also highlighted that the available scientific evidence supports earlier assessment as well as augmented and earlier-than-age-40 screening of many women – particularly Black women.

“These evidence-based updates should spur more-informed doctor–patient conversations and help providers save more lives,” Dr. Monticciolo said in a press release.
 

Insurance access

Typically, upgrading a USPSTF recommendation from C to B leads to better access and insurance coverage for patients. The Affordable Care Act (ACA) of 2010 requires insurers to cover the cost of services that get A and B recommendations from the USPSTF without charging copays – a mandate intended to promote greater use for highly regarded services.

But Congress created a special workaround that effectively makes the ACA mandate apply to the 2002 task force recommendations on mammography. In those recommendations, the task force gave a B grade to screening mammograms every 1 or 2 years starting at age 40 without an age limit. 

Federal lawmakers have sought to provide copay-free access to mammograms for this entire population even when the USPSTF recommendations in 2009 and 2016 gave a C grade to routine screening for women under 50.

Still, “it is important to note that our recommendation is based solely on the science of what works to prevent breast cancer and it is not a recommendation for or against insurance coverage,” the task force acknowledged when unveiling the new draft update. “Coverage decisions involve considerations beyond the evidence about clinical benefit, and in the end, these decisions are the responsibility of payors, regulators, and legislators.”
 

Uncertainties persist

The new draft recommendations also highlight the persistent gaps in knowledge about the uses of mammography, despite years of widespread use of this screening tool.

The updated draft recommendations emphasize the lack of sufficient evidence to address major areas of concern related to screening and treating Black women, older women, women with dense breasts, and those with ductal carcinoma in situ (DCIS).

The task force called for more research addressing the underlying causes of elevated breast cancer mortality rates among Black women.

The USPSTF also issued an ‘I’ statement for providing women with dense breasts additional screening with breast ultrasound or MRI and for screening women older than 75 for breast cancer. Such statements indicate that the available evidence is lacking, poor quality, or conflicting, and thus the USPSTF can’t assess the benefits and harms or make a recommendation for or against providing the preventive service.

“Nearly half of all women have dense breasts, which increases their risk for breast cancer and means that mammograms may not work as well for them. We need to know more about whether and how additional screening might help women with dense breasts stay healthy,” the task force explained.

The task force also called for more research on approaches to reduce the risk for overdiagnosis and overtreatment for breast lesions, such as DCIS, which are identified through screening.

One analysis – the COMET study – is currently underway to assess whether women could be spared surgery for DCIS and opt for watchful waiting instead.

“If we can find that monitoring them carefully, either with or without some sort of endocrine therapy, is just as effective in keeping patients free of invasive cancer as surgery, then I think we could help to de-escalate treatment for this very low-risk group of patients,” Shelley Hwang, MD, MPH, principal investigator of the COMET study, told this news organization in December.

The task force will accept comments from the public on this draft update through June 5.

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

The U.S. Preventive Services Task Force (USPSTF) on May 9 released a draft recommendation statement and evidence review that provides critical updates to its breast cancer screening recommendations.

The major change: USPSTF proposed reducing the recommended start age for routine screening mammograms from age 50 to age 40. The latest recommendation, which carries a B grade, also calls for screening every other year and sets a cutoff age of 74.

The task force’s A and B ratings indicate strong confidence in the evidence for benefit, meaning that clinicians should encourage their patients to get these services as appropriate.

The influential federal advisory panel last updated these recommendations in 2016. At the time, USPSTF recommended routine screening mammograms starting at age 50, and gave a C grade to starting before that.

In the 2016 recommendations, “we felt a woman could start screening in her 40s depending on how she feels about the harms and benefits in an individualized personal decision,” USPSTF member John Wong, MD, chief of clinical decision making and a primary care physician at Tufts Medical Center in Boston, said in an interview. “In this draft recommendation, we now recommend that all women get screened starting at age 40.”

Two major factors prompted the change, explained Dr. Wong. One is that more women are being diagnosed with breast cancer in their 40s. The other is that a growing body of evidence showing that Black women get breast cancer younger, are more likely to die of breast cancer, and would benefit from earlier screening.

“It is now clear that screening every other year starting at age 40 has the potential to save about 20% more lives among all women and there is even greater potential benefit for Black women, who are much more likely to die from breast cancer,” Dr. Wong said.

The American Cancer Society (ACS) called the draft recommendations a “significant positive change,” while noting that the task force recommendations only apply to women at average risk for breast cancer.

The American College of Radiology (ACR) already recommends yearly mammograms for average risk women starting at age 40. Its latest guidelines on mammography call for women at higher-than-average risk for breast cancer to undergo a risk assessment by age 25 to determine if screening before age 40 is needed.

When asked about the differing views, Debra Monticciolo, MD, division chief for breast imaging at Massachusetts General Hospital, said annual screenings that follow ACR recommendations would save more lives than the every-other-year approach backed by the task force. Dr. Monticciolo also highlighted that the available scientific evidence supports earlier assessment as well as augmented and earlier-than-age-40 screening of many women – particularly Black women.

“These evidence-based updates should spur more-informed doctor–patient conversations and help providers save more lives,” Dr. Monticciolo said in a press release.
 

Insurance access

Typically, upgrading a USPSTF recommendation from C to B leads to better access and insurance coverage for patients. The Affordable Care Act (ACA) of 2010 requires insurers to cover the cost of services that get A and B recommendations from the USPSTF without charging copays – a mandate intended to promote greater use for highly regarded services.

But Congress created a special workaround that effectively makes the ACA mandate apply to the 2002 task force recommendations on mammography. In those recommendations, the task force gave a B grade to screening mammograms every 1 or 2 years starting at age 40 without an age limit. 

Federal lawmakers have sought to provide copay-free access to mammograms for this entire population even when the USPSTF recommendations in 2009 and 2016 gave a C grade to routine screening for women under 50.

Still, “it is important to note that our recommendation is based solely on the science of what works to prevent breast cancer and it is not a recommendation for or against insurance coverage,” the task force acknowledged when unveiling the new draft update. “Coverage decisions involve considerations beyond the evidence about clinical benefit, and in the end, these decisions are the responsibility of payors, regulators, and legislators.”
 

Uncertainties persist

The new draft recommendations also highlight the persistent gaps in knowledge about the uses of mammography, despite years of widespread use of this screening tool.

The updated draft recommendations emphasize the lack of sufficient evidence to address major areas of concern related to screening and treating Black women, older women, women with dense breasts, and those with ductal carcinoma in situ (DCIS).

The task force called for more research addressing the underlying causes of elevated breast cancer mortality rates among Black women.

The USPSTF also issued an ‘I’ statement for providing women with dense breasts additional screening with breast ultrasound or MRI and for screening women older than 75 for breast cancer. Such statements indicate that the available evidence is lacking, poor quality, or conflicting, and thus the USPSTF can’t assess the benefits and harms or make a recommendation for or against providing the preventive service.

“Nearly half of all women have dense breasts, which increases their risk for breast cancer and means that mammograms may not work as well for them. We need to know more about whether and how additional screening might help women with dense breasts stay healthy,” the task force explained.

The task force also called for more research on approaches to reduce the risk for overdiagnosis and overtreatment for breast lesions, such as DCIS, which are identified through screening.

One analysis – the COMET study – is currently underway to assess whether women could be spared surgery for DCIS and opt for watchful waiting instead.

“If we can find that monitoring them carefully, either with or without some sort of endocrine therapy, is just as effective in keeping patients free of invasive cancer as surgery, then I think we could help to de-escalate treatment for this very low-risk group of patients,” Shelley Hwang, MD, MPH, principal investigator of the COMET study, told this news organization in December.

The task force will accept comments from the public on this draft update through June 5.

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

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Axial spondyloarthritis versus axial psoriatic arthritis: Different entities?

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Tue, 05/09/2023 - 18:04

 

Are there clinically significant differences between axial spondyloarthritis with psoriasis and psoriatic arthritis with axial symptoms? Does it matter?

It all depends on whom you ask, but right now the evidence seems to be tipping in favor of the “splitters” who cite evidence supporting their contention that axial spondyloarthritis (axSpA)/ankylosing spondylitis (AS) with psoriasis and psoriatic arthritis (PsA) with axial symptoms are distinct clinical entities that require more precise diagnosis and treatment.

“Lumpers,” in contrast, argue that they are different points on the same clinical spectrum.

The debate is not just of academic interest, but has real consequences for patients, say specialists on both sides of the aisle.
 

Overlapping features, different presentations

“Axial SpA and axPsA have overlapping features but also meaningful differences in genetics, clinical presentation, imaging, and immunophenotype. Efforts are underway to develop classification criteria for axPsA to aid research efforts as well as clinical diagnosis and management,” Philip J. Mease, MD, director of rheumatology research at Swedish Medical Center/Providence–St. Joseph Health in Seattle, and colleagues contend.

In an editorial published in the International Journal of Rheumatic Diseases, Dr. Mease and colleagues noted that, although HLA-B*27 is a genetic risk factor for both axPsA and axSpA, some HLA-B alleles are significantly associated with axPsA, whereas other alleles are associated with axSpA.

In addition, while genes in the interleukin-23 and IL-17 pathway are associated with increased risk for axSpA, genes in the IL-13 pathway have been identified as risk markers for axPsA, they noted.
 

Two cohorts better than one?

Dafna Gladman, MD, professor of medicine at the University of Toronto and senior scientist at the Schroeder Arthritis Institute at Toronto Western Hospital, and colleagues have a unique perspective on the similarities and differences between the disease entities.

Dr. Dafna D. Gladman

Her group’s research uses data on cohorts of patients treated in two separate clinics at Toronto Western Hospital: one for patients with PsA, and one for patients with axial spondyloarthritis, including those with ankylosing spondylitis, nonradiographic axSpA, and spondylitis associated with inflammatory bowel disease.

“Our work has shown that there are differences, and one of the reasons that it’s now important is that the anti–IL-23 medications, both the IL-12/23 inhibitor ustekinumab [Stelara] and the IL-23 inhibitor guselkumab [Tremfya] work for psoriatic arthritis, whereas IL-23 did not work in ankylosing spondylitis, so that provided further impetus to look into the distinction between the two groups,” Dr. Gladman said in an interview.

Dr. Gladman and colleagues published a study in Rheumatology in which they compared clinical presentations and features of patients with AS with or without psoriasis with patients with axPsA.



They found that patients with AS with or without psoriasis tended to be younger, had a higher proportion of males to females, and were more likely to be positive for HLA-B*27. Patients with AS also had more back pain at presentation, worse axial disease activity scores, worse global assessments by physicians, and higher grades of sacroiliitis, and they were more likely to be taking biologic agents.

“What that showed, right off the top, that whether we’re looking at the total group or we’re looking specifically at those patients who have psoriasis or don’t have psoriasis, they are different from those with psoriatic arthritis with axial disease,” she said.

They concluded that “axPsA seems to be a distinct entity.”
 

Two clinics, same presentation

Because the aforementioned study included all patients with PsA with or without peripheral disease, the investigators decided to filter out some of the background noise and conduct a second study in which they compared patients who presented to the two clinics with the same presentation, either with spinal disease and psoriasis to the spondylitis clinic, or with psoriasis and isolated axial disease to the PsA clinic.

The results, published in Annals of the Rheumatic Diseases, showed that just 2.03% of patients with PsA had isolated axial disease, and an additional 29.38% had axial and peripheral disease.



In this study, “you can see that even in that group there are distinct differences. The patients that are labeled psoriatic spondylitis are different from those that are labeled ankylosing spondylitis with psoriasis,” Dr. Gladman said.

Isolated axial disease in patients with PsA was associated with HLA-B*27 positivity and lower Health Assessment Questionnaire scores. In addition, patients who were HLA-B*27 positive also had a nearly eightfold higher risk for developing peripheral disease over time.

Patients with isolated axial PsA were significantly more likely to be diagnosed at an older age (mean, 37.44 vs. 29.65 years), had higher Psoriasis Area Severity Index scores and a higher likelihood of having psoriatic nail lesions than patients with AS with isolated axial disease and psoriasis.

In contrast, patients with isolated axSpA with psoriasis were more likely to have inflammatory back pain, spinal pain, joint pain/swelling, and areas of localized tenderness, and they had greater severity of morning stiffness.

Dr. Gladman noted that, although AS and PsA are associated with the same gene that encodes for the IL-23 receptor, each condition is associated with a different single-nucleotide polymorphism.

Same disease, different flavors?

But as Mark Twain said, it is difference of opinion that makes horse races, and some specialists in rheumatology say that axSpA amd axPsA are just two sides of the same coin.

Pramod Rathod
Dr. Shailendra Singh

“There are always different schools of thought. I believe that they are not different diseases, but a spectrum of diseases,” said Shailendra Singh, MD, a rheumatologist at Unity Health Medical Center in Searcy, Ark., and past president of the Arkansas Rheumatology Association.

In an interview, Dr. Singh said that the spectrum ranges from diseases with primarily axial involvement, such as AS, to those with primarily peripheral involvement, such as reactive arthritis.

He pointed out that these conditions have overlapping symptoms, including enthesitis, dactylitis, and uveitis, and inflammatory arthritis.

Daniel Wendling, MD, PhD, from the Centre Hospitalier Régional Universitaire de Besançon (France), Université de Franche-Comté, and colleagues agreed.

“The criteria currently available for both SpA [ASAS (Assessment of Spondyloarthritis International Society) criteria] and PsA [CASPAR (Classification for Psoriatic Arthritis) criteria] are classification criteria, not diagnostic criteria. They are not very stringent and are not exclusive. Thus, the same patient can easily be classified simultaneously in both entities, making the distinction between axSpA with psoriasis and axPsA theoretical,” they wrote in an editorial published in Joint Bone Spine.

They cited as an example of the allegedly fuzzy criteria a prospective study conducted by the investigators in Bath, England, in which modified New York criteria for AS were met by 24% of patients with AS, and CASPAR criteria for PsA were met by an equal number of patients with AS.
 

Therapeutic implications

Dr. Wendling and colleagues acknowledge the differences cited in studies by Dr. Gladman, Dr. Mease, and others between patients with axPsA and those with axSpA, but argue that the differences are not that great and not so clear.

“It should also be emphasized that, although some differences between axPsA and axSpA reach statistical significance, they are mostly at the margin, with low odd ratios,” they wrote.

“It is also important to consider the variability in the definition of axPsA, sometimes simply ‘physician reported’ and elsewhere based on the modified New York radiographic criteria; the latter are only present late in the course of the disease, and this may induce bias,” they continued.

Dr. Singh agreed that, as noted by Dr. Gladman, some patients will respond to anti–IL-17, anti–IL-23, and anti–IL-12/23 agents, whereas others will have better responses with tumor necrosis factor (TNF) inhibitors, and still others, such as those with peripheral involvement in the hands and feet may fare better with nonbiologic disease-modifying antirheumatic drugs such as methotrexate.
 

Answers to come?

Dr. Gladman noted that the information available to date about the efficacy of IL-23 inhibition in axPsA is based on a post hoc analysis of the PSUMMIT 1 and 2 controlled trials in PsA, and is not definitive.

The randomized, controlled STAR trial, currently recruiting patients, is designed to see whether guselkumab can reduce axial symptoms and inflammation in patients with active axPsA.

“What I say is, there is a rationale for [anti–IL-23] to work in psoriatic arthritis, and not work in ankylosing spondylitis,” she said.

In contrast, IL-17 inhibitors, anti-TNF agents, and Janus kinase inhibitors show efficacy against both axPsA and AS. Rituximab is ineffective against PsA, but has shown efficacy against AS, especially in patients with neurologic complications from anti-TNF agents.

“There may be other medications that would work more specifically in axial psoriatic arthritis that don’t work in ankylosing spondylitis, but at least recognizing that there may be some differences, and that therefore a correct diagnosis should be obtained, might be important,” she said.

Ideally, the picture will become clearer with results from the ongoing Axial Involvement in Psoriatic Arthritis cohort, a joint project of ASAS and the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis. The multinational, cross-sectional study is designed “to systematically evaluate clinical and imaging manifestations indicative of axial involvement in patients with PsA and to develop classification criteria and a unified nomenclature for axial involvement in PsA that would allow defining a homogeneous subgroup of patients for research.”

Stay tuned.

Dr. Gladman’s research is supported by a grant from the Krembil Foundation. Dr. Singh disclosed research support from various companies. Funding sources and conflict of interest disclosures from other works cited are contained in their respective references.

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Are there clinically significant differences between axial spondyloarthritis with psoriasis and psoriatic arthritis with axial symptoms? Does it matter?

It all depends on whom you ask, but right now the evidence seems to be tipping in favor of the “splitters” who cite evidence supporting their contention that axial spondyloarthritis (axSpA)/ankylosing spondylitis (AS) with psoriasis and psoriatic arthritis (PsA) with axial symptoms are distinct clinical entities that require more precise diagnosis and treatment.

“Lumpers,” in contrast, argue that they are different points on the same clinical spectrum.

The debate is not just of academic interest, but has real consequences for patients, say specialists on both sides of the aisle.
 

Overlapping features, different presentations

“Axial SpA and axPsA have overlapping features but also meaningful differences in genetics, clinical presentation, imaging, and immunophenotype. Efforts are underway to develop classification criteria for axPsA to aid research efforts as well as clinical diagnosis and management,” Philip J. Mease, MD, director of rheumatology research at Swedish Medical Center/Providence–St. Joseph Health in Seattle, and colleagues contend.

In an editorial published in the International Journal of Rheumatic Diseases, Dr. Mease and colleagues noted that, although HLA-B*27 is a genetic risk factor for both axPsA and axSpA, some HLA-B alleles are significantly associated with axPsA, whereas other alleles are associated with axSpA.

In addition, while genes in the interleukin-23 and IL-17 pathway are associated with increased risk for axSpA, genes in the IL-13 pathway have been identified as risk markers for axPsA, they noted.
 

Two cohorts better than one?

Dafna Gladman, MD, professor of medicine at the University of Toronto and senior scientist at the Schroeder Arthritis Institute at Toronto Western Hospital, and colleagues have a unique perspective on the similarities and differences between the disease entities.

Dr. Dafna D. Gladman

Her group’s research uses data on cohorts of patients treated in two separate clinics at Toronto Western Hospital: one for patients with PsA, and one for patients with axial spondyloarthritis, including those with ankylosing spondylitis, nonradiographic axSpA, and spondylitis associated with inflammatory bowel disease.

“Our work has shown that there are differences, and one of the reasons that it’s now important is that the anti–IL-23 medications, both the IL-12/23 inhibitor ustekinumab [Stelara] and the IL-23 inhibitor guselkumab [Tremfya] work for psoriatic arthritis, whereas IL-23 did not work in ankylosing spondylitis, so that provided further impetus to look into the distinction between the two groups,” Dr. Gladman said in an interview.

Dr. Gladman and colleagues published a study in Rheumatology in which they compared clinical presentations and features of patients with AS with or without psoriasis with patients with axPsA.



They found that patients with AS with or without psoriasis tended to be younger, had a higher proportion of males to females, and were more likely to be positive for HLA-B*27. Patients with AS also had more back pain at presentation, worse axial disease activity scores, worse global assessments by physicians, and higher grades of sacroiliitis, and they were more likely to be taking biologic agents.

“What that showed, right off the top, that whether we’re looking at the total group or we’re looking specifically at those patients who have psoriasis or don’t have psoriasis, they are different from those with psoriatic arthritis with axial disease,” she said.

They concluded that “axPsA seems to be a distinct entity.”
 

Two clinics, same presentation

Because the aforementioned study included all patients with PsA with or without peripheral disease, the investigators decided to filter out some of the background noise and conduct a second study in which they compared patients who presented to the two clinics with the same presentation, either with spinal disease and psoriasis to the spondylitis clinic, or with psoriasis and isolated axial disease to the PsA clinic.

The results, published in Annals of the Rheumatic Diseases, showed that just 2.03% of patients with PsA had isolated axial disease, and an additional 29.38% had axial and peripheral disease.



In this study, “you can see that even in that group there are distinct differences. The patients that are labeled psoriatic spondylitis are different from those that are labeled ankylosing spondylitis with psoriasis,” Dr. Gladman said.

Isolated axial disease in patients with PsA was associated with HLA-B*27 positivity and lower Health Assessment Questionnaire scores. In addition, patients who were HLA-B*27 positive also had a nearly eightfold higher risk for developing peripheral disease over time.

Patients with isolated axial PsA were significantly more likely to be diagnosed at an older age (mean, 37.44 vs. 29.65 years), had higher Psoriasis Area Severity Index scores and a higher likelihood of having psoriatic nail lesions than patients with AS with isolated axial disease and psoriasis.

In contrast, patients with isolated axSpA with psoriasis were more likely to have inflammatory back pain, spinal pain, joint pain/swelling, and areas of localized tenderness, and they had greater severity of morning stiffness.

Dr. Gladman noted that, although AS and PsA are associated with the same gene that encodes for the IL-23 receptor, each condition is associated with a different single-nucleotide polymorphism.

Same disease, different flavors?

But as Mark Twain said, it is difference of opinion that makes horse races, and some specialists in rheumatology say that axSpA amd axPsA are just two sides of the same coin.

Pramod Rathod
Dr. Shailendra Singh

“There are always different schools of thought. I believe that they are not different diseases, but a spectrum of diseases,” said Shailendra Singh, MD, a rheumatologist at Unity Health Medical Center in Searcy, Ark., and past president of the Arkansas Rheumatology Association.

In an interview, Dr. Singh said that the spectrum ranges from diseases with primarily axial involvement, such as AS, to those with primarily peripheral involvement, such as reactive arthritis.

He pointed out that these conditions have overlapping symptoms, including enthesitis, dactylitis, and uveitis, and inflammatory arthritis.

Daniel Wendling, MD, PhD, from the Centre Hospitalier Régional Universitaire de Besançon (France), Université de Franche-Comté, and colleagues agreed.

“The criteria currently available for both SpA [ASAS (Assessment of Spondyloarthritis International Society) criteria] and PsA [CASPAR (Classification for Psoriatic Arthritis) criteria] are classification criteria, not diagnostic criteria. They are not very stringent and are not exclusive. Thus, the same patient can easily be classified simultaneously in both entities, making the distinction between axSpA with psoriasis and axPsA theoretical,” they wrote in an editorial published in Joint Bone Spine.

They cited as an example of the allegedly fuzzy criteria a prospective study conducted by the investigators in Bath, England, in which modified New York criteria for AS were met by 24% of patients with AS, and CASPAR criteria for PsA were met by an equal number of patients with AS.
 

Therapeutic implications

Dr. Wendling and colleagues acknowledge the differences cited in studies by Dr. Gladman, Dr. Mease, and others between patients with axPsA and those with axSpA, but argue that the differences are not that great and not so clear.

“It should also be emphasized that, although some differences between axPsA and axSpA reach statistical significance, they are mostly at the margin, with low odd ratios,” they wrote.

“It is also important to consider the variability in the definition of axPsA, sometimes simply ‘physician reported’ and elsewhere based on the modified New York radiographic criteria; the latter are only present late in the course of the disease, and this may induce bias,” they continued.

Dr. Singh agreed that, as noted by Dr. Gladman, some patients will respond to anti–IL-17, anti–IL-23, and anti–IL-12/23 agents, whereas others will have better responses with tumor necrosis factor (TNF) inhibitors, and still others, such as those with peripheral involvement in the hands and feet may fare better with nonbiologic disease-modifying antirheumatic drugs such as methotrexate.
 

Answers to come?

Dr. Gladman noted that the information available to date about the efficacy of IL-23 inhibition in axPsA is based on a post hoc analysis of the PSUMMIT 1 and 2 controlled trials in PsA, and is not definitive.

The randomized, controlled STAR trial, currently recruiting patients, is designed to see whether guselkumab can reduce axial symptoms and inflammation in patients with active axPsA.

“What I say is, there is a rationale for [anti–IL-23] to work in psoriatic arthritis, and not work in ankylosing spondylitis,” she said.

In contrast, IL-17 inhibitors, anti-TNF agents, and Janus kinase inhibitors show efficacy against both axPsA and AS. Rituximab is ineffective against PsA, but has shown efficacy against AS, especially in patients with neurologic complications from anti-TNF agents.

“There may be other medications that would work more specifically in axial psoriatic arthritis that don’t work in ankylosing spondylitis, but at least recognizing that there may be some differences, and that therefore a correct diagnosis should be obtained, might be important,” she said.

Ideally, the picture will become clearer with results from the ongoing Axial Involvement in Psoriatic Arthritis cohort, a joint project of ASAS and the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis. The multinational, cross-sectional study is designed “to systematically evaluate clinical and imaging manifestations indicative of axial involvement in patients with PsA and to develop classification criteria and a unified nomenclature for axial involvement in PsA that would allow defining a homogeneous subgroup of patients for research.”

Stay tuned.

Dr. Gladman’s research is supported by a grant from the Krembil Foundation. Dr. Singh disclosed research support from various companies. Funding sources and conflict of interest disclosures from other works cited are contained in their respective references.

 

Are there clinically significant differences between axial spondyloarthritis with psoriasis and psoriatic arthritis with axial symptoms? Does it matter?

It all depends on whom you ask, but right now the evidence seems to be tipping in favor of the “splitters” who cite evidence supporting their contention that axial spondyloarthritis (axSpA)/ankylosing spondylitis (AS) with psoriasis and psoriatic arthritis (PsA) with axial symptoms are distinct clinical entities that require more precise diagnosis and treatment.

“Lumpers,” in contrast, argue that they are different points on the same clinical spectrum.

The debate is not just of academic interest, but has real consequences for patients, say specialists on both sides of the aisle.
 

Overlapping features, different presentations

“Axial SpA and axPsA have overlapping features but also meaningful differences in genetics, clinical presentation, imaging, and immunophenotype. Efforts are underway to develop classification criteria for axPsA to aid research efforts as well as clinical diagnosis and management,” Philip J. Mease, MD, director of rheumatology research at Swedish Medical Center/Providence–St. Joseph Health in Seattle, and colleagues contend.

In an editorial published in the International Journal of Rheumatic Diseases, Dr. Mease and colleagues noted that, although HLA-B*27 is a genetic risk factor for both axPsA and axSpA, some HLA-B alleles are significantly associated with axPsA, whereas other alleles are associated with axSpA.

In addition, while genes in the interleukin-23 and IL-17 pathway are associated with increased risk for axSpA, genes in the IL-13 pathway have been identified as risk markers for axPsA, they noted.
 

Two cohorts better than one?

Dafna Gladman, MD, professor of medicine at the University of Toronto and senior scientist at the Schroeder Arthritis Institute at Toronto Western Hospital, and colleagues have a unique perspective on the similarities and differences between the disease entities.

Dr. Dafna D. Gladman

Her group’s research uses data on cohorts of patients treated in two separate clinics at Toronto Western Hospital: one for patients with PsA, and one for patients with axial spondyloarthritis, including those with ankylosing spondylitis, nonradiographic axSpA, and spondylitis associated with inflammatory bowel disease.

“Our work has shown that there are differences, and one of the reasons that it’s now important is that the anti–IL-23 medications, both the IL-12/23 inhibitor ustekinumab [Stelara] and the IL-23 inhibitor guselkumab [Tremfya] work for psoriatic arthritis, whereas IL-23 did not work in ankylosing spondylitis, so that provided further impetus to look into the distinction between the two groups,” Dr. Gladman said in an interview.

Dr. Gladman and colleagues published a study in Rheumatology in which they compared clinical presentations and features of patients with AS with or without psoriasis with patients with axPsA.



They found that patients with AS with or without psoriasis tended to be younger, had a higher proportion of males to females, and were more likely to be positive for HLA-B*27. Patients with AS also had more back pain at presentation, worse axial disease activity scores, worse global assessments by physicians, and higher grades of sacroiliitis, and they were more likely to be taking biologic agents.

“What that showed, right off the top, that whether we’re looking at the total group or we’re looking specifically at those patients who have psoriasis or don’t have psoriasis, they are different from those with psoriatic arthritis with axial disease,” she said.

They concluded that “axPsA seems to be a distinct entity.”
 

Two clinics, same presentation

Because the aforementioned study included all patients with PsA with or without peripheral disease, the investigators decided to filter out some of the background noise and conduct a second study in which they compared patients who presented to the two clinics with the same presentation, either with spinal disease and psoriasis to the spondylitis clinic, or with psoriasis and isolated axial disease to the PsA clinic.

The results, published in Annals of the Rheumatic Diseases, showed that just 2.03% of patients with PsA had isolated axial disease, and an additional 29.38% had axial and peripheral disease.



In this study, “you can see that even in that group there are distinct differences. The patients that are labeled psoriatic spondylitis are different from those that are labeled ankylosing spondylitis with psoriasis,” Dr. Gladman said.

Isolated axial disease in patients with PsA was associated with HLA-B*27 positivity and lower Health Assessment Questionnaire scores. In addition, patients who were HLA-B*27 positive also had a nearly eightfold higher risk for developing peripheral disease over time.

Patients with isolated axial PsA were significantly more likely to be diagnosed at an older age (mean, 37.44 vs. 29.65 years), had higher Psoriasis Area Severity Index scores and a higher likelihood of having psoriatic nail lesions than patients with AS with isolated axial disease and psoriasis.

In contrast, patients with isolated axSpA with psoriasis were more likely to have inflammatory back pain, spinal pain, joint pain/swelling, and areas of localized tenderness, and they had greater severity of morning stiffness.

Dr. Gladman noted that, although AS and PsA are associated with the same gene that encodes for the IL-23 receptor, each condition is associated with a different single-nucleotide polymorphism.

Same disease, different flavors?

But as Mark Twain said, it is difference of opinion that makes horse races, and some specialists in rheumatology say that axSpA amd axPsA are just two sides of the same coin.

Pramod Rathod
Dr. Shailendra Singh

“There are always different schools of thought. I believe that they are not different diseases, but a spectrum of diseases,” said Shailendra Singh, MD, a rheumatologist at Unity Health Medical Center in Searcy, Ark., and past president of the Arkansas Rheumatology Association.

In an interview, Dr. Singh said that the spectrum ranges from diseases with primarily axial involvement, such as AS, to those with primarily peripheral involvement, such as reactive arthritis.

He pointed out that these conditions have overlapping symptoms, including enthesitis, dactylitis, and uveitis, and inflammatory arthritis.

Daniel Wendling, MD, PhD, from the Centre Hospitalier Régional Universitaire de Besançon (France), Université de Franche-Comté, and colleagues agreed.

“The criteria currently available for both SpA [ASAS (Assessment of Spondyloarthritis International Society) criteria] and PsA [CASPAR (Classification for Psoriatic Arthritis) criteria] are classification criteria, not diagnostic criteria. They are not very stringent and are not exclusive. Thus, the same patient can easily be classified simultaneously in both entities, making the distinction between axSpA with psoriasis and axPsA theoretical,” they wrote in an editorial published in Joint Bone Spine.

They cited as an example of the allegedly fuzzy criteria a prospective study conducted by the investigators in Bath, England, in which modified New York criteria for AS were met by 24% of patients with AS, and CASPAR criteria for PsA were met by an equal number of patients with AS.
 

Therapeutic implications

Dr. Wendling and colleagues acknowledge the differences cited in studies by Dr. Gladman, Dr. Mease, and others between patients with axPsA and those with axSpA, but argue that the differences are not that great and not so clear.

“It should also be emphasized that, although some differences between axPsA and axSpA reach statistical significance, they are mostly at the margin, with low odd ratios,” they wrote.

“It is also important to consider the variability in the definition of axPsA, sometimes simply ‘physician reported’ and elsewhere based on the modified New York radiographic criteria; the latter are only present late in the course of the disease, and this may induce bias,” they continued.

Dr. Singh agreed that, as noted by Dr. Gladman, some patients will respond to anti–IL-17, anti–IL-23, and anti–IL-12/23 agents, whereas others will have better responses with tumor necrosis factor (TNF) inhibitors, and still others, such as those with peripheral involvement in the hands and feet may fare better with nonbiologic disease-modifying antirheumatic drugs such as methotrexate.
 

Answers to come?

Dr. Gladman noted that the information available to date about the efficacy of IL-23 inhibition in axPsA is based on a post hoc analysis of the PSUMMIT 1 and 2 controlled trials in PsA, and is not definitive.

The randomized, controlled STAR trial, currently recruiting patients, is designed to see whether guselkumab can reduce axial symptoms and inflammation in patients with active axPsA.

“What I say is, there is a rationale for [anti–IL-23] to work in psoriatic arthritis, and not work in ankylosing spondylitis,” she said.

In contrast, IL-17 inhibitors, anti-TNF agents, and Janus kinase inhibitors show efficacy against both axPsA and AS. Rituximab is ineffective against PsA, but has shown efficacy against AS, especially in patients with neurologic complications from anti-TNF agents.

“There may be other medications that would work more specifically in axial psoriatic arthritis that don’t work in ankylosing spondylitis, but at least recognizing that there may be some differences, and that therefore a correct diagnosis should be obtained, might be important,” she said.

Ideally, the picture will become clearer with results from the ongoing Axial Involvement in Psoriatic Arthritis cohort, a joint project of ASAS and the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis. The multinational, cross-sectional study is designed “to systematically evaluate clinical and imaging manifestations indicative of axial involvement in patients with PsA and to develop classification criteria and a unified nomenclature for axial involvement in PsA that would allow defining a homogeneous subgroup of patients for research.”

Stay tuned.

Dr. Gladman’s research is supported by a grant from the Krembil Foundation. Dr. Singh disclosed research support from various companies. Funding sources and conflict of interest disclosures from other works cited are contained in their respective references.

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FDA expands use of dapagliflozin to broader range of HF

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Changed
Tue, 05/16/2023 - 02:41

 

The Food and Drug Administration has expanded the indication of dapagliflozin (Farxiga, AstraZeneca) to include treatment of heart failure across the full spectrum of left ventricular ejection fraction (LVEF) – including HF with mildly reduced ejection fraction (HFmrEF) and with preserved ejection fraction (HFpEF).

The sodium-glucose cotransporter 2 (SGLT2) inhibitor was previously approved in the United States for adults with heart failure with reduced ejection fraction (HFrEF).

The expanded indication is based on data from the phase 3 DELIVER trial, which showed clear clinical benefits of the SGLT2 inhibitor for patients with HF regardless of left ventricular function.

In the trial, which included more than 6,200 patients, dapagliflozin led to a statistically significant and clinically meaningful early reduction in the primary composite endpoint of cardiovascular (CV) death or worsening HF for patients with HFmrEF or HFpEFF.

In addition, results of a pooled analysis of the DAPA-HF and DELIVER phase 3 trials showed a consistent benefit from dapagliflozin treatment in significantly reducing the combined endpoint of CV death or HF hospitalization across the range of LVEF.

The European Commission expanded the indication for dapagliflozin (Forxiga) to include HF across the full spectrum of LVEF in February.

The SGLT2 inhibitor is also approved for use by patients with chronic kidney disease. It was first approved in 2014 to improve glycemic control for patients with diabetes mellitus.

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

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The Food and Drug Administration has expanded the indication of dapagliflozin (Farxiga, AstraZeneca) to include treatment of heart failure across the full spectrum of left ventricular ejection fraction (LVEF) – including HF with mildly reduced ejection fraction (HFmrEF) and with preserved ejection fraction (HFpEF).

The sodium-glucose cotransporter 2 (SGLT2) inhibitor was previously approved in the United States for adults with heart failure with reduced ejection fraction (HFrEF).

The expanded indication is based on data from the phase 3 DELIVER trial, which showed clear clinical benefits of the SGLT2 inhibitor for patients with HF regardless of left ventricular function.

In the trial, which included more than 6,200 patients, dapagliflozin led to a statistically significant and clinically meaningful early reduction in the primary composite endpoint of cardiovascular (CV) death or worsening HF for patients with HFmrEF or HFpEFF.

In addition, results of a pooled analysis of the DAPA-HF and DELIVER phase 3 trials showed a consistent benefit from dapagliflozin treatment in significantly reducing the combined endpoint of CV death or HF hospitalization across the range of LVEF.

The European Commission expanded the indication for dapagliflozin (Forxiga) to include HF across the full spectrum of LVEF in February.

The SGLT2 inhibitor is also approved for use by patients with chronic kidney disease. It was first approved in 2014 to improve glycemic control for patients with diabetes mellitus.

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

 

The Food and Drug Administration has expanded the indication of dapagliflozin (Farxiga, AstraZeneca) to include treatment of heart failure across the full spectrum of left ventricular ejection fraction (LVEF) – including HF with mildly reduced ejection fraction (HFmrEF) and with preserved ejection fraction (HFpEF).

The sodium-glucose cotransporter 2 (SGLT2) inhibitor was previously approved in the United States for adults with heart failure with reduced ejection fraction (HFrEF).

The expanded indication is based on data from the phase 3 DELIVER trial, which showed clear clinical benefits of the SGLT2 inhibitor for patients with HF regardless of left ventricular function.

In the trial, which included more than 6,200 patients, dapagliflozin led to a statistically significant and clinically meaningful early reduction in the primary composite endpoint of cardiovascular (CV) death or worsening HF for patients with HFmrEF or HFpEFF.

In addition, results of a pooled analysis of the DAPA-HF and DELIVER phase 3 trials showed a consistent benefit from dapagliflozin treatment in significantly reducing the combined endpoint of CV death or HF hospitalization across the range of LVEF.

The European Commission expanded the indication for dapagliflozin (Forxiga) to include HF across the full spectrum of LVEF in February.

The SGLT2 inhibitor is also approved for use by patients with chronic kidney disease. It was first approved in 2014 to improve glycemic control for patients with diabetes mellitus.

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

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Nurses: The unsung heroes

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Changed
Wed, 05/10/2023 - 14:04

 

Try practicing inpatient medicine without nurses.

You can’t.

In a world where doctors get top billing, nurses are the unsung heroes that really make it all happen. We blow in and out of the rooms, write notes, check results and vitals, then move on to the next person.

But the nurses are the ones who actually make this all happen. And, amazingly, can do all that work with a smile.

But in our current postpandemic world, we’re facing a serious shortage. A recent survey of registered nurses found that only 15% of hospital nurses were planning on being there in 1 year. Thirty percent said they were planning on changing careers entirely in the aftermath of the pandemic. Their job satisfaction scores have dropped 15% from 2019 to 2023. Their stress scores, and concerns that the job is affecting their health, have increased 15%-20%.

Dr. Allan M. Block, a neurologist in Scottsdale, Arizona.
Dr. Allan M. Block

The problem reflects a combination of things intersecting at a bad time: Staffing shortages resulting in more patients per nurse, hospital administrators cutting corners on staffing and pay, and the ongoing state of incivility.

The last one is a particularly new issue. Difficult patients and their families are nothing new. We all encounter them, and learn to deal with them in our own way. It’s part of the territory.

But since 2020 it’s climbed to a new-level of in-your-face confrontation, rudeness, and aggression, sometimes leading to violence. Physical attacks on people in all jobs have increased, but health care workers are five times more likely to encounter workplace violence than any other field.

Underpaid, overworked, and a sitting duck for violence. Can you blame people for looking elsewhere?

All of this is coming at a time when a whole generation of nurses is retiring, another generation is starting to reach an age of needing more health care, and nursing schools are short on teaching staff, limiting the number of new people that can be trained. Nursing education, like medical school, isn’t a place to cut corners (neither is care, obviously).

These days we toss the word “burnout” around to the point that it’s become almost meaningless, but to those affected by it, the consequences are quite real. And when it causes a loss of staff and impairs the ability of all to provide quality medical care, it quickly becomes everyone’s problem.

Finding solutions for such things isn’t a can you just kick down the road, as governmental agencies have always been so good at doing. These are things that have real-world consequences for all involved, and solutions need to involve private, public, and educational sectors working together.

I don’t have any ideas, but I hope the people who can change this will sit down and work some out.

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

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Try practicing inpatient medicine without nurses.

You can’t.

In a world where doctors get top billing, nurses are the unsung heroes that really make it all happen. We blow in and out of the rooms, write notes, check results and vitals, then move on to the next person.

But the nurses are the ones who actually make this all happen. And, amazingly, can do all that work with a smile.

But in our current postpandemic world, we’re facing a serious shortage. A recent survey of registered nurses found that only 15% of hospital nurses were planning on being there in 1 year. Thirty percent said they were planning on changing careers entirely in the aftermath of the pandemic. Their job satisfaction scores have dropped 15% from 2019 to 2023. Their stress scores, and concerns that the job is affecting their health, have increased 15%-20%.

Dr. Allan M. Block, a neurologist in Scottsdale, Arizona.
Dr. Allan M. Block

The problem reflects a combination of things intersecting at a bad time: Staffing shortages resulting in more patients per nurse, hospital administrators cutting corners on staffing and pay, and the ongoing state of incivility.

The last one is a particularly new issue. Difficult patients and their families are nothing new. We all encounter them, and learn to deal with them in our own way. It’s part of the territory.

But since 2020 it’s climbed to a new-level of in-your-face confrontation, rudeness, and aggression, sometimes leading to violence. Physical attacks on people in all jobs have increased, but health care workers are five times more likely to encounter workplace violence than any other field.

Underpaid, overworked, and a sitting duck for violence. Can you blame people for looking elsewhere?

All of this is coming at a time when a whole generation of nurses is retiring, another generation is starting to reach an age of needing more health care, and nursing schools are short on teaching staff, limiting the number of new people that can be trained. Nursing education, like medical school, isn’t a place to cut corners (neither is care, obviously).

These days we toss the word “burnout” around to the point that it’s become almost meaningless, but to those affected by it, the consequences are quite real. And when it causes a loss of staff and impairs the ability of all to provide quality medical care, it quickly becomes everyone’s problem.

Finding solutions for such things isn’t a can you just kick down the road, as governmental agencies have always been so good at doing. These are things that have real-world consequences for all involved, and solutions need to involve private, public, and educational sectors working together.

I don’t have any ideas, but I hope the people who can change this will sit down and work some out.

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

 

Try practicing inpatient medicine without nurses.

You can’t.

In a world where doctors get top billing, nurses are the unsung heroes that really make it all happen. We blow in and out of the rooms, write notes, check results and vitals, then move on to the next person.

But the nurses are the ones who actually make this all happen. And, amazingly, can do all that work with a smile.

But in our current postpandemic world, we’re facing a serious shortage. A recent survey of registered nurses found that only 15% of hospital nurses were planning on being there in 1 year. Thirty percent said they were planning on changing careers entirely in the aftermath of the pandemic. Their job satisfaction scores have dropped 15% from 2019 to 2023. Their stress scores, and concerns that the job is affecting their health, have increased 15%-20%.

Dr. Allan M. Block, a neurologist in Scottsdale, Arizona.
Dr. Allan M. Block

The problem reflects a combination of things intersecting at a bad time: Staffing shortages resulting in more patients per nurse, hospital administrators cutting corners on staffing and pay, and the ongoing state of incivility.

The last one is a particularly new issue. Difficult patients and their families are nothing new. We all encounter them, and learn to deal with them in our own way. It’s part of the territory.

But since 2020 it’s climbed to a new-level of in-your-face confrontation, rudeness, and aggression, sometimes leading to violence. Physical attacks on people in all jobs have increased, but health care workers are five times more likely to encounter workplace violence than any other field.

Underpaid, overworked, and a sitting duck for violence. Can you blame people for looking elsewhere?

All of this is coming at a time when a whole generation of nurses is retiring, another generation is starting to reach an age of needing more health care, and nursing schools are short on teaching staff, limiting the number of new people that can be trained. Nursing education, like medical school, isn’t a place to cut corners (neither is care, obviously).

These days we toss the word “burnout” around to the point that it’s become almost meaningless, but to those affected by it, the consequences are quite real. And when it causes a loss of staff and impairs the ability of all to provide quality medical care, it quickly becomes everyone’s problem.

Finding solutions for such things isn’t a can you just kick down the road, as governmental agencies have always been so good at doing. These are things that have real-world consequences for all involved, and solutions need to involve private, public, and educational sectors working together.

I don’t have any ideas, but I hope the people who can change this will sit down and work some out.

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

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A nod to the future of AGA

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Tue, 05/09/2023 - 18:05

It’s been 125 years since the founding of the American Gastroenterological Association (AGA). It’s gone from a small organization in which gastroenterology wasn’t even a known medical specialty, to an organization that grants millions of dollars in research funding each year.

University of California San Diego
Dr. John M. Carethers

Congratulating the organization on its 125th anniversary, AGA president John M. Carethers, MD, AGAF, reflected on its history and outlined many accomplishments and challenges. He spoke with optimism about gastroenterology’s future during his presidential address on May 8 at the annual Digestive Disease Week® (DDW) meeting in Chicago.

“I congratulate the AGA on its quasquicentennial, or 125th anniversary,” said Dr. Carethers, who is distinguished professor of medicine and vice chancellor for health sciences at the University of California, San Diego.

The AGA was founded in 1897 by Detroit-based physician Charles Aaron, MD. His passion was gastroenterology, but at that point, it wasn’t an established medical discipline. Dr. Aaron, Max Einhorn, MD, and 8 other colleagues formed the American Gastroenterological Association. Today, with nearly 16,000 members, the organization has become a driving force in improving the care of patients with gastrointestinal conditions.

Among AGA’s accomplishments since its founding: In 1940, the American Board of Internal Medicine certified gastroenterology as a subspecialty. Three years later, the first issue of Gastroenterology, the AGA’s flagship journal, was published. And, in 1971, the very first Digestive Disease Week® meeting took place.

In terms of medical advances that have been made since those early years, the list is vast: From the description of ileitis in 1932 by Burril B. Crohn, MD, in 1932 to the discovery of the hepatitis B surface antigen in 1965 and the more recent discovery of germline mutations in DNA mismatch repair genes as a cause of Lynch syndrome.

Dr. Carethers outlined goals for the future, including building a leadership team that is “reflective of our practice here in the United States,” Dr. Carethers said. Creating a culturally and gender diverse leadership team will only strengthen the organization and the practice of gastroenterology. The AGA’s first female president, Sarah Jordan, MD, was named in 1942, and since then, the AGA has been led by women and men from different ethnic backgrounds, including himself, who is AGA’s first president of African American heritage.

The AGA has committed to a number of diversity and equity objectives, including the AGA Equity Project, an initiative launched in 2020 whose goal is to achieve equity and eradicate disparities in digestive diseases with a focus on justice and equity, research and funding, workforce and leadership, recognition of the achievements of people of color, unconscious bias, and engagement with early career members.

“I am not only excited about the diversity and equity objectives within our specialty ... but also the innovation and things to come for our specialty,” Dr. Carethers said.

Securing funding for early-stage innovations in medicine can be difficult across medical disciplines, including gastroenterology. So, last year, the AGA, with Varia Ventures, launched the GI Opportunity Fund 1 to support early-stage GI-based companies. The goal is to raise $25 million for the initial fund. Through the AGA’s Center for GI Innovation and Technology and the AGA Tech Summit, early-stage companies may have new funding opportunities.

And, through the AGA Research Foundation, the organization will continue to support clinical research. Last year, $2.6 million in grants were awarded to investigators.

Dr. Carethers is a board director at Avantor, a life sciences supply company.

The meeting is sponsored by the American Gastroenterological Association, the American Association for the Study of Liver Diseases, the American Society for Gastrointestinal Endoscopy, and the Society for Surgery of the Alimentary Tract.

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It’s been 125 years since the founding of the American Gastroenterological Association (AGA). It’s gone from a small organization in which gastroenterology wasn’t even a known medical specialty, to an organization that grants millions of dollars in research funding each year.

University of California San Diego
Dr. John M. Carethers

Congratulating the organization on its 125th anniversary, AGA president John M. Carethers, MD, AGAF, reflected on its history and outlined many accomplishments and challenges. He spoke with optimism about gastroenterology’s future during his presidential address on May 8 at the annual Digestive Disease Week® (DDW) meeting in Chicago.

“I congratulate the AGA on its quasquicentennial, or 125th anniversary,” said Dr. Carethers, who is distinguished professor of medicine and vice chancellor for health sciences at the University of California, San Diego.

The AGA was founded in 1897 by Detroit-based physician Charles Aaron, MD. His passion was gastroenterology, but at that point, it wasn’t an established medical discipline. Dr. Aaron, Max Einhorn, MD, and 8 other colleagues formed the American Gastroenterological Association. Today, with nearly 16,000 members, the organization has become a driving force in improving the care of patients with gastrointestinal conditions.

Among AGA’s accomplishments since its founding: In 1940, the American Board of Internal Medicine certified gastroenterology as a subspecialty. Three years later, the first issue of Gastroenterology, the AGA’s flagship journal, was published. And, in 1971, the very first Digestive Disease Week® meeting took place.

In terms of medical advances that have been made since those early years, the list is vast: From the description of ileitis in 1932 by Burril B. Crohn, MD, in 1932 to the discovery of the hepatitis B surface antigen in 1965 and the more recent discovery of germline mutations in DNA mismatch repair genes as a cause of Lynch syndrome.

Dr. Carethers outlined goals for the future, including building a leadership team that is “reflective of our practice here in the United States,” Dr. Carethers said. Creating a culturally and gender diverse leadership team will only strengthen the organization and the practice of gastroenterology. The AGA’s first female president, Sarah Jordan, MD, was named in 1942, and since then, the AGA has been led by women and men from different ethnic backgrounds, including himself, who is AGA’s first president of African American heritage.

The AGA has committed to a number of diversity and equity objectives, including the AGA Equity Project, an initiative launched in 2020 whose goal is to achieve equity and eradicate disparities in digestive diseases with a focus on justice and equity, research and funding, workforce and leadership, recognition of the achievements of people of color, unconscious bias, and engagement with early career members.

“I am not only excited about the diversity and equity objectives within our specialty ... but also the innovation and things to come for our specialty,” Dr. Carethers said.

Securing funding for early-stage innovations in medicine can be difficult across medical disciplines, including gastroenterology. So, last year, the AGA, with Varia Ventures, launched the GI Opportunity Fund 1 to support early-stage GI-based companies. The goal is to raise $25 million for the initial fund. Through the AGA’s Center for GI Innovation and Technology and the AGA Tech Summit, early-stage companies may have new funding opportunities.

And, through the AGA Research Foundation, the organization will continue to support clinical research. Last year, $2.6 million in grants were awarded to investigators.

Dr. Carethers is a board director at Avantor, a life sciences supply company.

The meeting is sponsored by the American Gastroenterological Association, the American Association for the Study of Liver Diseases, the American Society for Gastrointestinal Endoscopy, and the Society for Surgery of the Alimentary Tract.

It’s been 125 years since the founding of the American Gastroenterological Association (AGA). It’s gone from a small organization in which gastroenterology wasn’t even a known medical specialty, to an organization that grants millions of dollars in research funding each year.

University of California San Diego
Dr. John M. Carethers

Congratulating the organization on its 125th anniversary, AGA president John M. Carethers, MD, AGAF, reflected on its history and outlined many accomplishments and challenges. He spoke with optimism about gastroenterology’s future during his presidential address on May 8 at the annual Digestive Disease Week® (DDW) meeting in Chicago.

“I congratulate the AGA on its quasquicentennial, or 125th anniversary,” said Dr. Carethers, who is distinguished professor of medicine and vice chancellor for health sciences at the University of California, San Diego.

The AGA was founded in 1897 by Detroit-based physician Charles Aaron, MD. His passion was gastroenterology, but at that point, it wasn’t an established medical discipline. Dr. Aaron, Max Einhorn, MD, and 8 other colleagues formed the American Gastroenterological Association. Today, with nearly 16,000 members, the organization has become a driving force in improving the care of patients with gastrointestinal conditions.

Among AGA’s accomplishments since its founding: In 1940, the American Board of Internal Medicine certified gastroenterology as a subspecialty. Three years later, the first issue of Gastroenterology, the AGA’s flagship journal, was published. And, in 1971, the very first Digestive Disease Week® meeting took place.

In terms of medical advances that have been made since those early years, the list is vast: From the description of ileitis in 1932 by Burril B. Crohn, MD, in 1932 to the discovery of the hepatitis B surface antigen in 1965 and the more recent discovery of germline mutations in DNA mismatch repair genes as a cause of Lynch syndrome.

Dr. Carethers outlined goals for the future, including building a leadership team that is “reflective of our practice here in the United States,” Dr. Carethers said. Creating a culturally and gender diverse leadership team will only strengthen the organization and the practice of gastroenterology. The AGA’s first female president, Sarah Jordan, MD, was named in 1942, and since then, the AGA has been led by women and men from different ethnic backgrounds, including himself, who is AGA’s first president of African American heritage.

The AGA has committed to a number of diversity and equity objectives, including the AGA Equity Project, an initiative launched in 2020 whose goal is to achieve equity and eradicate disparities in digestive diseases with a focus on justice and equity, research and funding, workforce and leadership, recognition of the achievements of people of color, unconscious bias, and engagement with early career members.

“I am not only excited about the diversity and equity objectives within our specialty ... but also the innovation and things to come for our specialty,” Dr. Carethers said.

Securing funding for early-stage innovations in medicine can be difficult across medical disciplines, including gastroenterology. So, last year, the AGA, with Varia Ventures, launched the GI Opportunity Fund 1 to support early-stage GI-based companies. The goal is to raise $25 million for the initial fund. Through the AGA’s Center for GI Innovation and Technology and the AGA Tech Summit, early-stage companies may have new funding opportunities.

And, through the AGA Research Foundation, the organization will continue to support clinical research. Last year, $2.6 million in grants were awarded to investigators.

Dr. Carethers is a board director at Avantor, a life sciences supply company.

The meeting is sponsored by the American Gastroenterological Association, the American Association for the Study of Liver Diseases, the American Society for Gastrointestinal Endoscopy, and the Society for Surgery of the Alimentary Tract.

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Replacing the Lung Allocation Score

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Diffuse Lung Disease and Lung Transplant Network

Lung Transplant Section

In March 2023, the Composite Allocation Score (CAS) will replace the Lung Allocation Score (LAS) for matching donor lungs to transplant candidates in the United States. The LAS was implemented in 2005 to improve lung organ utilization. Its score was determined by two main factors: (1) risk of 1-year waitlist mortality and (2) likelihood of 1-year post-transplant survival, with the first factor having twice the weight. However, LAS did not account for candidate biology attributes, such as pediatric age, blood type, allosensitization, or height. Long-term survival outcomes under LAS may be reduced, given the greater emphasis on waitlist mortality. Candidates were also subjected to strict geographical distributions within a 250-nautical-mile radius, which frequently resulted in those with lower LAS obtaining a transplant. CAS differs from the LAS in that it assigns an allocation score in a continuous distribution based on the following factors: medical urgency, expected survival benefit following transplant, pediatric age, blood type, HLA antibody sensitization, candidate height, and geographical proximity to the donor organ. Each factor has a specific weight, and because donor factors contribute to CAS, a candidate’s score changes with each donor-recipient match run. Continuous distribution removes hard geographical boundaries and aims for more equitable organ allocation. To understand how allocation might change with CAS, Valapour and colleagues created various CAS scenarios using data from individuals on the national transplant waiting list (Am J Transplant. 2022;22[12]:2971).

They found that waitlist deaths decreased by 36%-47%. This effect was greatest in scenarios where there was less weight on placement efficiency (ie, geography) and more weight on post-transplant outcomes. Transplant system equity also improved in their simulation models. It will be exciting to see how candidate and recipient outcomes are affected once CAS is implemented.

Gloria Li, MD
Member-at-Large

Keith Wille, MD, MSPH
Member-at-Large

Reference

1. United Network for Organ Sharing. www.unos.org.

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Diffuse Lung Disease and Lung Transplant Network

Lung Transplant Section

In March 2023, the Composite Allocation Score (CAS) will replace the Lung Allocation Score (LAS) for matching donor lungs to transplant candidates in the United States. The LAS was implemented in 2005 to improve lung organ utilization. Its score was determined by two main factors: (1) risk of 1-year waitlist mortality and (2) likelihood of 1-year post-transplant survival, with the first factor having twice the weight. However, LAS did not account for candidate biology attributes, such as pediatric age, blood type, allosensitization, or height. Long-term survival outcomes under LAS may be reduced, given the greater emphasis on waitlist mortality. Candidates were also subjected to strict geographical distributions within a 250-nautical-mile radius, which frequently resulted in those with lower LAS obtaining a transplant. CAS differs from the LAS in that it assigns an allocation score in a continuous distribution based on the following factors: medical urgency, expected survival benefit following transplant, pediatric age, blood type, HLA antibody sensitization, candidate height, and geographical proximity to the donor organ. Each factor has a specific weight, and because donor factors contribute to CAS, a candidate’s score changes with each donor-recipient match run. Continuous distribution removes hard geographical boundaries and aims for more equitable organ allocation. To understand how allocation might change with CAS, Valapour and colleagues created various CAS scenarios using data from individuals on the national transplant waiting list (Am J Transplant. 2022;22[12]:2971).

They found that waitlist deaths decreased by 36%-47%. This effect was greatest in scenarios where there was less weight on placement efficiency (ie, geography) and more weight on post-transplant outcomes. Transplant system equity also improved in their simulation models. It will be exciting to see how candidate and recipient outcomes are affected once CAS is implemented.

Gloria Li, MD
Member-at-Large

Keith Wille, MD, MSPH
Member-at-Large

Reference

1. United Network for Organ Sharing. www.unos.org.

 

Diffuse Lung Disease and Lung Transplant Network

Lung Transplant Section

In March 2023, the Composite Allocation Score (CAS) will replace the Lung Allocation Score (LAS) for matching donor lungs to transplant candidates in the United States. The LAS was implemented in 2005 to improve lung organ utilization. Its score was determined by two main factors: (1) risk of 1-year waitlist mortality and (2) likelihood of 1-year post-transplant survival, with the first factor having twice the weight. However, LAS did not account for candidate biology attributes, such as pediatric age, blood type, allosensitization, or height. Long-term survival outcomes under LAS may be reduced, given the greater emphasis on waitlist mortality. Candidates were also subjected to strict geographical distributions within a 250-nautical-mile radius, which frequently resulted in those with lower LAS obtaining a transplant. CAS differs from the LAS in that it assigns an allocation score in a continuous distribution based on the following factors: medical urgency, expected survival benefit following transplant, pediatric age, blood type, HLA antibody sensitization, candidate height, and geographical proximity to the donor organ. Each factor has a specific weight, and because donor factors contribute to CAS, a candidate’s score changes with each donor-recipient match run. Continuous distribution removes hard geographical boundaries and aims for more equitable organ allocation. To understand how allocation might change with CAS, Valapour and colleagues created various CAS scenarios using data from individuals on the national transplant waiting list (Am J Transplant. 2022;22[12]:2971).

They found that waitlist deaths decreased by 36%-47%. This effect was greatest in scenarios where there was less weight on placement efficiency (ie, geography) and more weight on post-transplant outcomes. Transplant system equity also improved in their simulation models. It will be exciting to see how candidate and recipient outcomes are affected once CAS is implemented.

Gloria Li, MD
Member-at-Large

Keith Wille, MD, MSPH
Member-at-Large

Reference

1. United Network for Organ Sharing. www.unos.org.

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