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Background: Malnutrition is an independent risk factor for adverse postoperative outcomes and is common among patients with Crohn's disease (CD). The objective of this meta-analysis was to precisely quantify the association of preoperative exclusive enteral nutrition (EEN) and total parenteral nutrition (TPN) with surgical outcomes in patients undergoing intestinal surgery for CD., Methods: PubMed, Embase, and Scopus were queried for comparative studies evaluating the impact of preoperative nutritional support on postoperative outcomes in patients undergoing surgery for CD. Random effects modeling was used to compute pooled estimates of risk difference. Heterogeneity was assessed using I2., Results: Fourteen studies, all nonrandomized cohort studies, met inclusion criteria for studying EEN. After pooling data from 14 studies (874 EEN treated and 1044 control patients), the relative risk of intra-abdominal septic complications was decreased 2.1-fold in patients receiving preoperative EEN (relative risk 0.47, 95% confidence interval [CI], 0.35-0.63, I2 = 0.0%). After pooling data from 9 studies (638 EEN treated and 819 control patients), the risk of skin and soft tissue infection was decreased 1.6-fold (relative risk 0.63; 95% CI, 0.42-0.94, I2 = 42.7%). No significant differences were identified in duration of surgery, length of bowel resected, or operative blood loss. Among the 9 studies investigating TPN, no significant differences were identified in infectious outcomes., Conclusions: Preoperative nutritional optimization with EEN was associated with reduced risk of infectious complications in CD patients undergoing intestinal surgery. Preoperative nutritional support with EEN should be considered for optimizing outcomes in CD patients requiring bowel resection surgery., (© The Author(s) 2024. Published by Oxford University Press on behalf of Crohn’s & Colitis Foundation. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

The study of muscle mass as an imaging-derived phenotype (IDP) may yield new insights into determining the normal and pathologic variations in muscle mass in the population. This can be done by determining 3D abdominal muscle mass from 12 distinct abdominal muscle regions and groups using computed tomography (CT) in a racially diverse medical biobank. To develop a fully automatic technique for assessment of CT abdominal muscle IDPs and preliminarily determine abdominal muscle IDP variations with age and sex in a clinically and racially diverse medical biobank. This retrospective study was conducted using the Penn Medicine BioBank (PMBB), a research protocol that recruits adult participants during outpatient visits at hospitals in the Penn Medicine network. We developed a deep residual U-Net (ResUNet) to segment 12 abdominal muscle groups including the left and right psoas, quadratus lumborum, erector spinae, gluteus medius, rectus abdominis, and lateral abdominals. 110 CT studies were randomly selected for training, validation, and testing. 44 of the 110 CT studies were selected to enrich the dataset with representative cases of intra-abdominal and abdominal wall pathology. The studies were divided into non-overlapping training, validation and testing sets. Model performance was evaluated using the Sørensen-Dice coefficient. Volumes of individual muscle groups were plotted to distribution curves. To investigate associations between muscle IDPs, age, and sex, deep learning model segmentations were performed on a larger abdominal CT dataset from PMBB consisting of 295 studies. Multivariable models were used to determine relationships between muscle mass, age and sex. The model's performance (Dice scores) on the test data was the following: psoas: 0.85 ± 0.12, quadratus lumborum: 0.72 ± 0.14, erector spinae: 0.92 ± 0.07, gluteus medius: 0.90 ± 0.08, rectus abdominis: 0.85 ± 0.08, lateral abdominals: 0.85 ± 0.09. The average Dice score across all muscle groups was 0.86 ± 0.11. Average total muscle mass for females was 2041 ± 560.7 g with a high of 2256 ± 560.1 g (41-50 year old cohort) and a change of - 0.96 g/year, declining to an average mass of 1579 ± 408.8 g (81-100 year old cohort). Average total muscle mass for males was 3086 ± 769.1 g with a high of 3385 ± 819.3 g (51-60 year old cohort) and a change of - 1.73 g/year, declining to an average mass of 2629 ± 536.7 g (81-100 year old cohort). Quadratus lumborum was most highly correlated with age for both sexes (correlation coefficient of - 0.5). Gluteus medius mass in females was positively correlated with age with a coefficient of 0.22. These preliminary findings show that our CNN can automate detailed abdominal muscle volume measurement. Unlike prior efforts, this technique provides 3D muscle segmentations of individual muscles. This technique will dramatically impact sarcopenia diagnosis and research, elucidating its clinical and public health implications. Our results suggest a peak age range for muscle mass and an expected rate of decline, both of which vary between genders. Future goals are to investigate genetic variants for sarcopenia and malnutrition, while describing genotype-phenotype associations of muscle mass in healthy humans using imaging-derived phenotypes. It is feasible to obtain 3D abdominal muscle IDPs with high accuracy from patients in a medical biobank using fully automated machine learning methods. Abdominal muscle IDPs showed significant variations in lean mass by age and sex. In the future, this tool can be leveraged to perform a genome-wide association study across the medical biobank and determine genetic variants associated with early or accelerated muscle wasting., (© 2024. The Author(s).)

Background: Metabolic and bariatric surgery (MBS) is the most effective and durable treatment for obesity; however, access to MBS is not equitable., Objective: To determine the rate of MBS among eligible adults with obesity by demographics, health characteristics, and geography to better define populations that would benefit from resources to reduce barriers to access for this treatment., Setting: Adults with obesity were identified in the US employer-based retrospective claims database (Merative™)., Methods: Rates of MBS were examined across demographics (age, sex, region, year, health plan type) health characteristics (obesity-related comorbidities, healthcare costs, inpatient admissions), and by state. Given differences in coverage requirements, rates are examined for 2 populations: Class 2 (BMI 35-39.9 kg/m 2 ) and Class 3 (BMI 40+ kg/m 2 ) obesity., Results: Of the 777,565 eligible adults, 49,371 (6.4%) had MBS; 3.2% of those with Class 2 and 8.3% of those with Class 3 obesity had MBS. MBS rates varied substantially by demographic and health characteristics, ranging from 1% to 14%, and from 2% to 41% among those with Class 2 and Class 3 obesity, respectively. Geographically, rates ranged from 0% (Hawaii) to 7.4% (New Mexico) for those with Class 2 Obesity and from 4.2% (Hawaii) to 15.3% (Mississippi) among those with Class 3 Obesity., Conclusions: Use of MBS among eligible adults with obesity varies substantially across characteristics, indicating inequity in access to this treatment. To ensure greater access to the most effective treatment for obesity, policies should be implemented to reduce or eliminate barriers to care., (Copyright © 2024 American Society for Metabolic and Bariatric Surgery. Published by Elsevier Inc. All rights reserved.)

Background: The American Society for Metabolic and Bariatric Surgery (ASMBS) Fellowship Certificate was created to ensure satisfactory training and requires a minimum number of anastomotic cases. With laparoscopic sleeve gastrectomy becoming the most common bariatric procedure in the United States, this may present a challenge for fellows to obtain adequate numbers for ASMBS certification., Objectives: To investigate bariatric fellowship trends from 2012 to 2019, the types, numbers, and approaches of surgical procedures performed by fellows were examined., Setting: Academic training centers in the United States., Methods: Data were obtained from Fellowship Council records of all cases performed by fellows in ASMBS-accredited bariatric surgery training programs between 2012 and 2019. A retrospective analysis using standard descriptive statistical methods was performed to investigate trends in total case volume and cases per fellow for common bariatric procedures., Results: From 2012 to 2019, sleeve gastrectomy cases performed by all Fellowship Council fellows nearly doubled from 6,514 to 12,398, compared with a slight increase for gastric bypass, from 8,486 to 9,204. Looking specifically at bariatric fellowships, the mean number of gastric bypass cases per fellow dropped over time, from 91.1 cases (SD = 46.8) in 2012-2013 to 52.6 (SD = 62.1) in 2018-2019. Mean sleeve gastrectomy cases per fellow increased from 54.7 (SD = 31.5) in 2012-2013 to a peak of 98.6 (SD = 64.3) in 2015-2016. Robotic gastric bypasses also increased from 4% of all cases performed in 2012-2013 to 13.3% in 2018-2019., Conclusions: Bariatric fellowship training has seen a decrease in gastric bypasses, an increase in sleeve gastrectomies, and an increase in robotic surgery completed by each fellow from 2012 to 2019., (Copyright © 2023 American Society for Metabolic and Bariatric Surgery. Published by Elsevier Inc. All rights reserved.)

Introduction: As the rate of obesity increases, so does the incidence of obesity-related comorbidities. Metabolic and bariatric surgery (MBS) is the most effective treatment for obesity, yet this treatment is severely underused. MBS can improve, resolve, and prevent the development of obesity-related comorbidities; this improvement in health also results in lower healthcare costs. The studies that have examined these outcomes are often limited by small sample sizes, reliance on outdated data, inconsistent definitions of outcomes, and the use of simulated data. Using recent real-world data, we will identify characteristics of individuals who qualify for MBS but have not had MBS and address the gaps in knowledge around the impact of MBS on health outcomes and healthcare costs., Methods and Analysis: Using a large US employer-based retrospective claims database (Merative), we will identify all obese adults (21+) who have had a primary MBS from 2016 to 2021 and compare their characteristics and outcomes with obese adults who did not have an MBS from 2016 to 2021. Baseline demographics, health outcomes, and costs will be examined in the year before the index date, remission and new-onset comorbidities, and healthcare costs will be examined at 1 and 3 years after the index date., Ethics and Dissemination: As this was an observational study of deidentified patients in the Merative database, Institutional Review Board approval and consent were exempt (in accordance with the Health Insurance Portability and Accountability Act Privacy Rule). An IRB exemption was approved by the wcg IRB (#13931684). Knowledge dissemination will include presenting results at national and international conferences, sharing findings with specialty societies, and publishing results in peer-reviewed journals. All data management and analytic code will be made available publicly to enable others to leverage our methods to verify and extend our findings., Competing Interests: Competing interests: Yes, there are competing interests for one or more authors and I have provided a Competing Interests statement in my manuscript and in the box below., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Communication is key to success in bariatric surgery. This study aims to understand how outcomes after bariatric surgery differ between patients with a non-English primary language and those with English as their primary language., Methods: This retrospective, observational cohort study of bariatric surgery patients age ≥ 18 years utilized the Michigan, Maryland, and New Jersey State Inpatient Databases and State Ambulatory Surgery and Services Databases, 2016 to 2018. Patients were classified by primary spoken language: English and non-English. Primary outcome was complications. Secondary outcomes included length of stay (LOS) and cost, with cost calculated using cost-to-charge ratios provided by Healthcare Cost and Utilization Project and reported in 2019 United States dollars. Multivariable regression models (logistic, Poisson, and quantile) were used to examine associations between primary language and outcomes. Given the uneven distribution of race by primary language, interaction terms were used to examine conditional effects of race., Results: Among 69,749 bariatric surgery patients, 2811 (4.2%) spoke a non-English primary language. Covariates, notably race distribution, and unadjusted outcomes differed significantly by primary language. However, after adjustment, non-English primary language was not associated with significantly increased odds of complications (odds ratio 1.24, p = 0.389), significantly different LOS (- 0.02 days, p = 0.677), nor significantly different mean healthcare costs (- $265, p = 0.309). There were no significant conditional effects of race seen among outcomes., Conclusions: Though non-English primary language was associated with a significantly different distribution of observable characteristics (including race, income quartile, and insurance type), after adjustment, non-English primary language was not associated with significant differential risk of adverse outcomes after bariatric surgery, and there were no significant conditional effects of race. As such, this study suggests that disparities in bariatric surgery by primary spoken language more likely related to access to care, or the pre- and post-hospital care continuum, rather than index hospitalization after surgery., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Gastroparesis is a gastric motility disorder characterized by delayed gastric emptying. It is a rare disease and difficult to treat effectively; management is a dilemma for gastroenterologists and surgeons alike. We conducted a systematic review of the literature to evaluate current diagnostic tools as well as treatment options. We describe key elements in the pathophysiology of the disease, in addition to current evidence on treatment alternatives, including nutritional considerations, medical and surgical options, and related outcomes., (Published by Elsevier Inc.)

Background & Aims: Epidemiologic and murine studies suggest that dietary emulsifiers promote development of diseases associated with microbiota dysbiosis. Although the detrimental impact of these compounds on the intestinal microbiota and intestinal health have been demonstrated in animal and in vitro models, impact of these food additives in healthy humans remains poorly characterized., Methods: To examine this notion in humans, we performed a double-blind controlled-feeding study of the ubiquitous synthetic emulsifier carboxymethylcellulose (CMC) in which healthy adults consumed only emulsifier-free diets (n = 9) or an identical diet enriched with 15 g per day of CMC (n = 7) for 11 days., Results: Relative to control subjects, CMC consumption modestly increased postprandial abdominal discomfort and perturbed gut microbiota composition in a way that reduced its diversity. Moreover, CMC-fed subjects exhibited changes in the fecal metabolome, particularly reductions in short-chain fatty acids and free amino acids. Furthermore, we identified 2 subjects consuming CMC who exhibited increased microbiota encroachment into the normally sterile inner mucus layer, a central feature of gut inflammation, as well as stark alterations in microbiota composition., Conclusions: These results support the notion that the broad use of CMC in processed foods may be contributing to increased prevalence of an array of chronic inflammatory diseases by altering the gut microbiome and metabolome (ClinicalTrials.gov, number NCT03440229)., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Trends in nutritional science are rapidly shifting as information regarding the value of eating unprocessed foods and its salutary effect on the human microbiome emerge. Unravelling the evolution and ecology by which humans have harboured a microbiome that participates in every facet of health and disease is daunting. Most strikingly, the host habitat has sought out naturally occurring foodstuff that can fulfil its own metabolic needs and also the needs of its microbiota, each of which remain inexorably connected to one another. With the introduction of modern medicine and complexities of critical care, came the assumption that the best way to feed a critically ill patient is by delivering fibre-free chemically defined sterile liquid foods (that is, total enteral nutrition). In this Perspective, we uncover the potential flaws in this assumption and discuss how emerging technology in microbiome sciences might inform the best method of feeding malnourished and critically ill patients., (© 2021. Springer Nature Limited.)

Background: A processed diet, high in fat and low in fiber, is associated with differences in the gut microbiota and adverse health outcomes in humans; however, little is known about the diet-microbiota relation and its impact on pregnancy. Spontaneous preterm birth (SPTB), a pregnancy outcome with serious short- and long-term consequences, occurs more frequently in black and in obese women in the United States., Objectives: In a prospective, case-control sample matched for race and obesity (cases = 16, controls = 32), we compared the fecal gut microbiota, fecal and plasma metabolites, and diet in the late second trimester. We hypothesized that a Western diet would be associated with reduced microbiota richness and a metabolic signature predicting incidence of SPTB., Methods: The fecal microbiota was characterized by 16S-tagged sequencing and untargeted metabolomics was used to analyze both plasma and fecal metabolites. Wilcoxon's rank-sum test was used for the comparison of microbiota genera, α-diversity, fecal and plasma metabolites, and dietary variables between term and SPTB. β-Diversity was analyzed using permutational multivariate ANOVA, and metabolite associations were assessed by module analysis., Results: A decrease in α-diversity was strongly associated with the development of SPTB, especially in the taxonomic class of Betaproteobacteria. Of 824 fecal metabolites, 22 metabolites (mostly lipids) differed between cases and controls (P < 0.01), with greater DHA (22:6n-3) and EPA (20:5n-3) in cases [false discovery rate (FDR) < 0.2]. The most significant fecal metabolite module (FDR-adjusted P = 0.008) was dominated by DHA and EPA. Dietary saturated fat (primarily palmitate) intake was greater in cases (31.38 ± 7.37 compared with 26.08 ± 8.62 g, P = 0.045) and was positively correlated with fecal DHA and EPA (P < 0.05)., Conclusions: Reduced α-diversity of the gut microbiota and higher excretion of omega-3 (n-3) fatty acids in stool may provide a novel biomarker signature predicting SPTB in women with a low-fiber, high-fat diet. Further investigation of these markers in a larger sample is needed for validation., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.)

Background: Initial development of a prominent bariatric surgery mortality risk calculator comprising cases that now account for <10% of commonly performed operations. Whether the previously highly predictive model is valid with more recent data is unknown., Objectives: To validate and improve a bariatric-surgery-specific mortality calculator with updated case mix and outcomes data., Setting: Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program-accredited bariatric surgery programs., Methods: The Metabolic and Bariatric Accreditation and Quality Improvement Program Participant Use File from years 2015 to 2017 was used for the analysis. C-statistics were calculated with observed death as the outcome and estimated 30-day mortality risk as the only predictor and receiver operating characteristic curve was plotted. Similar analyses were repeated for each body mass index (BMI) subgroup. Backward selection logistic regression was used to investigate the potential of improving the robustness of the model., Results: Patients were predominantly female (n = 446,149, 80.4%) and white (n = 409,350, 73.7%) with a mean (standard deviation) age of 45.4 (12.0) years and BMI of 44.5 (8.4) kg/m 2 , and the most commonly performed operation was sleeve gastrectomy (n = 338,061, 60.9%). Assessing previous model using present data, area under the curve was .7412. By BMI subgroup, area under the curve for BMI <45 kg/m 2 was .7645, for BMI 45 to 60 kg/m 2 was .7586, and for BMI >60 kg/m 2 was .6576., Discussion: The present study found that the model previously developed maintains discrimination with changing surgical procedures. Though variables in the initial calculator are helpful, additional factors should be considered when weighing risk, such as sex, previous surgery, and renal function. Future studies are needed to determine whether changes in modifiable risk factors will impact mortality rates., (Copyright © 2020 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.)

Purpose: Obesity is associated with tumor promoting pathways related to insulin resistance and chronic low-grade inflammation which have been linked to various disease states, including cancer. Many studies have focused on the relationship between obesity and increased estrogen production, which contributes to the pathogenesis of estrogen receptor-positive breast cancers. The link between obesity and other breast cancer subtypes, such as triple-negative breast cancer (TNBC) and Her2/neu+ (Her2+) breast cancer, is less clear. We hypothesize that obesity may be associated with the pathogenesis of specific breast cancer subtypes resulting in a different subtype distribution than normal weight women., Methods: A single-institution, retrospective analysis of tumor characteristics of 848 patients diagnosed with primary operable breast cancer between 2000 and 2013 was performed to evaluate the association between BMI and clinical outcome. Patients were grouped based on their BMI at time of diagnosis stratified into three subgroups: normal weight (BMI = 18-24.9), overweight (BMI = 25-29.9), and obese (BMI > 30). The distribution of breast cancer subtypes across the three BMI subgroups was compared., Results: Obese and overweight women were more likely to present with TNBC and normal weight women with Her2+ breast cancer (p = 0.008)., Conclusions: We demonstrated, for the first time, that breast cancer subtype distribution varied significantly according to BMI status. Our results suggested that obesity might activate molecular pathways other than the well-known obesity/estrogen circuit in the pathogenesis of breast cancer. Future studies are needed to understand the molecular mechanisms that drive the variation in subtype distribution across BMI subgroups.

Purpose: We evaluated suturing skills performance and retention in senior medical students (MS4) at the beginning of their fourth year and 7 months later., Methods: MS4 students entering a surgery specialty were randomized to a proficiency-based suturing/knot-tying curriculum at the beginning of fourth year (Intervention, n = 11) versus no training (Control, n = 10). Time and technical proficiency (TP, proficiency ≥3) were assessed at baseline and 7 months. Performance was compared with past "Boot-Camp" MS4, categorical PGY-1 interns and PGY-2 residents. Data are mean ± SD., Results: At baseline, Intervention and Control MS4 had similar total task times (848 ± 199 vs 845 ± 209 seconds) and TP scores (1.8 ± 0.15 vs 1.8 ± 0.3). At 7 months, Intervention MS4 total task times were faster (549 ± 80 vs 719 ± 151 seconds, P < .01) and mean TP scores greater (3.3 ± 0.6 vs 2.1 vs 0.4, P < .001) than Control MS4. Intervention MS4 also performed better at 7 months than Boot-Camp MS4 (662 ± 171 seconds and 2.6 ± 0.5, P < .04) and were similar to PGY-1 interns (601 ± 74 seconds, TP 2.7 ± 0.7 seconds) and end of PGY-2 residents (475 ± 81 seconds and 3.6 ± 0.3 seconds)., Conclusion: A proficiency-based suturing and knot-tying curriculum taught early in the fourth year results in improved MS4 performance compared with no training or a traditional "boot camp" program., (Copyright © 2013 Mosby, Inc. All rights reserved.)