Prospective Monitoring of Small Intestinal Bacterial Overgrowth After Gastric Bypass: Clinical, Biological, and Gas Chromatographic Aspects.

BACKGROUND AND AIMS: Obesity is a predisposing factor for small intestinal bacterial overgrowth (SIBO). The aim of this study was to prospectively evaluate the prevalence of SIBO as well as its clinical, biological, and nutritional aspects before and up to 24 months after a Roux-en-Y gastric bypass (RYGB) surgery. PATIENTS AND METHODS: Fifty-one patients (mean BMI 46.9 kg/m2, 66.7% women) requesting RYGB were included between 2016 and 2020. Each patient underwent a glucose breath test, a standardized interrogation on functional digestive signs, a dietary survey, a blood test, a fecalogram, and anthropometric data gathering. These investigations were carried out before surgery and at 1, 3, 6, 9, 12, 18, and 24 months after RYGB. RESULTS: Before surgery, we found a prevalence of 17.6% of SIBO (95% CI = [8.9%; 31.4%]). After RYGB, at the end of 24 months of follow-up, 89.5% of patients developed SIBO. Anal incontinence appeared to be very frequent after surgery, affecting 18.8% of our population 18 months after surgery. We observed positive steatorrhea after surgery with an average of 11.1 g of lipids/24 h despite a significant limitation of dietary lipids (p = 0.0282). CONCLUSION: Our study corroborates data in the literature on the prevalence of SIBO in severe obesity patients. For the first time, we observed the sudden appearance of SIBO after RYGB, with a correlation between exhaled hydrogen on a breath test and lipid malabsorption on the fecalogram. As a result, these patients develop fatty diarrhea, with frequent fecal incontinence.

Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study.

BACKGROUND: Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develop a model using machine learning to provide individual preoperative prediction of 5-year weight loss trajectories after surgery. METHODS: In this multinational retrospective observational study we enrolled adult participants (aged ≥18 years) from ten prospective cohorts (including ABOS [NCT01129297], BAREVAL [NCT02310178], the Swedish Obese Subjects study, and a large cohort from the Dutch Obesity Clinic [Nederlandse Obesitas Kliniek]) and two randomised trials (SleevePass [NCT00793143] and SM-BOSS [NCT00356213]) in Europe, the Americas, and Asia, with a 5 year follow-up after Roux-en-Y gastric bypass, sleeve gastrectomy, or gastric band. Patients with a previous history of bariatric surgery or large delays between scheduled and actual visits were excluded. The training cohort comprised patients from two centres in France (ABOS and BAREVAL). The primary outcome was BMI at 5 years. A model was developed using least absolute shrinkage and selection operator to select variables and the classification and regression trees algorithm to build interpretable regression trees. The performances of the model were assessed through the median absolute deviation (MAD) and root mean squared error (RMSE) of BMI. FINDINGS: 10 231 patients from 12 centres in ten countries were included in the analysis, corresponding to 30 602 patient-years. Among participants in all 12 cohorts, 7701 (75·3%) were female, 2530 (24·7%) were male. Among 434 baseline attributes available in the training cohort, seven variables were selected: height, weight, intervention type, age, diabetes status, diabetes duration, and smoking status. At 5 years, across external testing cohorts the overall mean MAD BMI was 2·8 kg/m2 (95% CI 2·6-3·0) and mean RMSE BMI was 4·7 kg/m2 (4·4-5·0), and the mean difference between predicted and observed BMI was -0·3 kg/m2 (SD 4·7). This model is incorporated in an easy to use and interpretable web-based prediction tool to help inform clinical decision before surgery. INTERPRETATION: We developed a machine learning-based model, which is internationally validated, for predicting individual 5-year weight loss trajectories after three common bariatric interventions. FUNDING: SOPHIA Innovative Medicines Initiative 2 Joint Undertaking, supported by the EU's Horizon 2020 research and innovation programme, the European Federation of Pharmaceutical Industries and Associations, Type 1 Diabetes Exchange, and the Juvenile Diabetes Research Foundation and Obesity Action Coalition; Métropole Européenne de Lille; Agence Nationale de la Recherche; Institut national de recherche en sciences et technologies du numérique through the Artificial Intelligence chair Apprenf; Université de Lille Nord Europe's I-SITE EXPAND as part of the Bandits For Health project; Laboratoire d'excellence European Genomic Institute for Diabetes; Soutien aux Travaux Interdisciplinaires, Multi-établissements et Exploratoires programme by Conseil Régional Hauts-de-France (volet partenarial phase 2, project PERSO-SURG).

Psychological characteristics of patients seeking bariatric treatment versus those seeking medical treatment for obesity: is bariatric surgery a last best hope?

PURPOSE: Bariatric surgery (BS) is considered the most effective treatment for severe obesity. Nevertheless, long-term studies have identified some concerning issues, such as increased postoperative rates of suicide and substance use disorders. Some investigators have postulated that these postoperative issues might result from differences in psychological characteristics between patients with obesity seeking BS and those seeking non-surgical (medical) care. The aim of this study was to explore the psychological differences between patients seeking BS and those seeking non-surgical care. METHODS: 151 patients seeking BS (BS group) and 95 patients seeking medical care (non-surgery group) completed questionnaires measuring depression, anxiety, self-esteem, body dissatisfaction, hopelessness and weight-loss expectations (WLE). RESULTS: There were no differences between the BS and non-surgery groups in depression, anxiety or self-esteem. Body dissatisfaction and WLE were greater in the BS group than in the non-surgery group. Contrary to our hypothesis, the non-surgery group showed higher levels of hopelessness than the BS group. Correlation analyses revealed very similar associations between psychological characteristics for both groups. Hierarchical regression and moderation analyses identified self-esteem as the factor most predictive of hopelessness in both groups. CONCLUSIONS: We found few differences in psychological characteristics between groups. The lower level of hopelessness in the BS group might be seen as a form of protection leading up to surgery but may result from the patient's view of BS as their "last best hope". Further studies are needed to understand the evolution of these psychological characteristics after surgery and their possible effects on postoperative outcomes. LEVEL OF EVIDENCE: Level III, case-control analytic studies.

"I Want to Lose Weight and it Has to Be Fair": Predictors of Satisfaction After Bariatric Surgery.

PURPOSE: Bariatric surgery (BS) is the most effective technique used to help patients with obesity achieve long-term weight loss. Although many patients report high levels of postoperative satisfaction after BS, some remain unsatisfied with their outcome. Studies of factors that predict postoperative satisfaction have yielded varying results. Weight loss has been identified as a predictor of satisfaction after BS, but debate remains concerning the impact of preoperative expectations and psychological variables. Furthermore, the relevance of attribution and perception of equity to postoperative satisfaction has not been evaluated in patients undergoing BS. MATERIALS AND METHODS: We assessed preoperative expectations and the levels of body dissatisfaction, anxiety, and depression in 80 patients undergoing BS. Satisfaction, attribution, feeling of equity, and psychological variables were evaluated 6 months, 1 year, and 2 years after BS. RESULTS: Weight loss and equity were the two predictors of satisfaction 6 months after BS. Body dissatisfaction was the main factor predicting satisfaction 1 year after BS, with equity and anxiety having smaller influences. Weight loss and equity were the factors predicting satisfaction 2 years after BS. CONCLUSION: Our findings support previous results concerning the influence of weight loss on satisfaction after BS. The identification of equity as a factor associated with postoperative satisfaction raises questions regarding the impact of the comparisons made by the patient with others and the consequences of the messages they receive about BS. Moreover, our results underscore the importance of considering the patient's personal experience after BS and not just their weight loss.

Impact of emotional awareness and parental bonding on emotional eating in obese women.

This study aimed to: (1) determine whether obese women have deficits in emotional awareness and more frequently use emotional eating to regulate their emotions, (2) assess the impact of emotional awareness on the use of emotional eating, and (3) explore the impact of parental bonding on patient level of emotional awareness. A sample of 94 obese women was compared with 56 control participants. All participants answered questionnaires concerning their eating habits (Dutch Emotional Behavior Questionnaire), emotional awareness (Level of Emotional Awareness Scale) and parental bonding (Parental Bonding Inventory). Obese women exhibited deficits in emotional awareness and used emotional eating as an emotion regulation strategy more often than controls. Regression analyses showed that paternal and maternal overprotection negatively influenced obese patients' levels of emotional awareness and that emotional awareness positively influenced their emotional eating.