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Goel R, Dukkipati N, Wadhawan R, Katakwar A, Shah S, Bhasker AG, Nasta AM, Goel D, Palaniappan R, Baig S, Khaitan M, Aggarwal S, Agrawal A, Bawa A, Saurabh G, Ahluwalia JS, X L JL, Palep J, Patil KP, Kular KS, Narwaria M, Kaur M, Motwani M, Borude R, Sinha RK, Chaudhari S, Pattanshetti S, Shah S, Ugale S, John SJ, Singhal V. Obesity Management Medications as Adjuncts to Metabolic and Bariatric Surgery: Consensus Recommendations from India. Obes Surg 2025:10.1007/s11695-025-07895-5. [PMID: 40392474 DOI: 10.1007/s11695-025-07895-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2025] [Revised: 04/14/2025] [Accepted: 04/24/2025] [Indexed: 05/22/2025]
Abstract
Obesity is a global health concern, with weight regain (WR) common after bariatric surgery. Clear guidelines on post-surgical medication use are essential. This expert consensus evaluates the role of obesity management medications (OMMs) in optimizing weight loss (WL) and preventing WR in individuals undergoing metabolic and bariatric surgery (MBS). Using a modified Delphi approach, a panel of 12 experts reviewed evidence and formulated consensus recommendations. Two voting rounds led to consensus on 11 of 15 statements, covering preoperative WL strategies and postoperative weight management. The recommendations guide OMM selection, timing, and effectiveness in enhancing WL outcomes. Integrating OMMs into bariatric care protocols can help clinicians improve long-term success rates in obesity management.
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Affiliation(s)
- Ramen Goel
- Wockhardt Hospital, Mumbai Central, Mumbai, India.
| | | | | | | | - Shashank Shah
- Laparo Obeso Centre, LOC Healthcare LLP, Pune, India
| | - Aparna Govil Bhasker
- MetaHeal- Laparoscopy and Bariatric Surgery Center, Mumbai, India
- Saifee Hospital, Mumbai, India
| | | | - Deep Goel
- BLK-MAX Super Speciality Hospital, New Delhi, India
| | | | - Sarfaraz Baig
- Belle Vue Clinic, Kolkata, India
- CMRI, Kolkata, India
| | | | | | | | - Ashvind Bawa
- Dayanand Medical College & Hospital, Ludhiana, India
| | | | | | | | - Jaydeep Palep
- Dr. Palep's Weight Loss & Gastro Clinic, Mumbai, India
| | | | | | | | - Mandeep Kaur
- Northumberland Healthcare, Tyneside, United Kingdom
| | | | | | | | | | | | - Sumeet Shah
- Pushpawati Singhania Research Institute, New Delhi, India
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Park JY, Chung Y, Shin J, Shin JY, Kim YJ. Prediction Model for Chronological Weight Loss After Bariatric Surgery in Korean Patients. JOURNAL OF METABOLIC AND BARIATRIC SURGERY 2024; 13:8-16. [PMID: 38974892 PMCID: PMC11224005 DOI: 10.17476/jmbs.2024.13.1.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 07/09/2024]
Abstract
Purpose This study aimed to develop a predictive model for monitoring chronological weight loss during the early postoperative period following bariatric surgery in Korean patients with morbid obesity. Materials and Methods The baseline characteristics and postoperative weight loss outcomes were collected for up to 24 months after surgery in patients who underwent sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB). The factors influencing weight loss outcomes were analyzed, and longitudinal percentile charts were plotted using quantile regression models adjusted for the identified independent factors. Results The analysis included 491 and 274 patients who underwent SG and RYGB, respectively, of whom 225 (29.4%) were men. A positive association was found between the maximum percentage of total weight loss (%TWL) and female sex, body mass index (BMI) ≥40, and age <40 years. Among patients who reached nadir BMI or had at least 12 months of follow-up data (n=304), 7.6% exhibited inadequate weight loss (TWL <20%). The predictors of insufficient weight loss were older age (>40 years), male sex, and psychological problems. Centile charts were generated for the entire cohort, incorporating age, sex, and the type of procedure as covariates. Conclusion The percentile charts proposed in the present study can assist surgeons and healthcare providers in gauging patients' progress toward their weight loss goals and determining the timing of adjunctive intervention in poor responders during early postoperative follow-up.
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Affiliation(s)
- Ji Yeon Park
- Department of Surgery, School of Medicine, Kyungpook National University, Daegu, Korea
- Department of Surgery, Kyungpook National University Chilgok Hospital, Daegu, Korea
| | - Yoona Chung
- Department of Surgery, H Plus Yanji Hospital, Seoul, Korea
| | - Jieun Shin
- Department of Biomedical Informatics, College of Medicine, Konyang University, Daejun, Korea
| | - Ji-Yeon Shin
- Department of Preventive Medicine, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Yong Jin Kim
- Department of Surgery, H Plus Yanji Hospital, Seoul, Korea
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Zhang X, Kang K, Yan C, Feng Y, Vandekar S, Yu D, Rosenbloom ST, Samuels J, Srivastava G, Williams B, Albaugh VL, English WJ, Flynn CR, Chen Y. Enhanced Patient Portal Engagement Associated with Improved Weight Loss Outcomes in Post-Bariatric Surgery Patients. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.20.24301550. [PMID: 38293039 PMCID: PMC10827275 DOI: 10.1101/2024.01.20.24301550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Background Bariatric surgery is an effective intervention for obesity, but it requires comprehensive postoperative self-management to achieve optimal outcomes. While patient portals are generally seen as beneficial in engaging patients in health management, the link between their use and post-bariatric surgery weight loss remains unclear. Objective This study investigated the association between patient portal engagement and postoperative body mass index (BMI) reduction among bariatric surgery patients. Methods This retrospective longitudinal study included patients who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) at Vanderbilt University Medical Center (VUMC) between January 2018 and March 2021. Using generalized estimating equations, we estimated the association between active days of postoperative patient portal use and the reduction of BMI percentage (%BMI) at 3, 6, and 12 months post-surgery. Covariates included duration since surgery, the patient's age at the time of surgery, gender, race and ethnicity, type of bariatric surgery, severity of comorbid conditions, and socioeconomic disadvantage. Results The study included 1,415 patients, mostly female (80.9%), with diverse racial and ethnic backgrounds. 805 (56.9%) patients underwent RYGB and 610 (43.1%) underwent SG. By one-year post-surgery, the mean (SD) %BMI reduction was 31.1% (8.3%), and the mean (SD) number of patient portal active days was 61.0 (41.2). A significantly positive association was observed between patient portal engagement and %BMI reduction, with variations revealed over time. Each 10-day increment of active portal use was associated with a 0.57% ([95% CI: 0.42- 0.72], P < .001) and 0.35% ([95% CI: 0.22- 0.49], P < .001) %BMI reduction at 3 and 6 months postoperatively. The association was not statistically significant at 12 months postoperatively (β=-0.07, [95% CI: -0.24- 0.09], P = .54). Various portal functions, including messaging, visits, my record, medical tools, billing, resources, and others, were positively associated with %BMI reduction at 3- and 6-months follow-ups. Conclusions Greater patient portal engagement, which may represent stronger adherence to postoperative instructions, better self-management of health, and enhanced communication with care teams, was associated with improved postoperative weight loss. Future investigations are needed to identify important portal features that contribute to the long-term success of weight loss management.
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Affiliation(s)
- Xinmeng Zhang
- Department of Computer Science, Vanderbilt University, Nashville, TN
| | - Kaidi Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Chao Yan
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Yubo Feng
- Department of Computer Science, Vanderbilt University, Nashville, TN
| | - Simon Vandekar
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - S. Trent Rosenbloom
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jason Samuels
- Department of Surgery, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Gitanjali Srivastava
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Surgery, Vanderbilt University School of Medicine, Nashville, TN, USA
- Division of Diabetes, Endocrinology & Metabolism, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Weight Loss Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Brandon Williams
- Department of Surgery, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Weight Loss Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Vance L. Albaugh
- Metamor Institute, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Wayne J. English
- Department of Surgery, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Weight Loss Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Charles R. Flynn
- Department of Surgery, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Weight Loss Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - You Chen
- Department of Computer Science, Vanderbilt University, Nashville, TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
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Intestinal gluconeogenesis shapes gut microbiota, fecal and urine metabolome in mice with gastric bypass surgery. Sci Rep 2022; 12:1415. [PMID: 35082330 PMCID: PMC8791999 DOI: 10.1038/s41598-022-04902-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 12/30/2021] [Indexed: 11/18/2022] Open
Abstract
Intestinal gluconeogenesis (IGN), gastric bypass (GBP) and gut microbiota positively regulate glucose homeostasis and diet-induced dysmetabolism. GBP modulates gut microbiota, whether IGN could shape it has not been investigated. We studied gut microbiota and microbiome in wild type and IGN-deficient mice, undergoing GBP or not, and fed on either a normal chow (NC) or a high-fat/high-sucrose (HFHS) diet. We also studied fecal and urine metabolome in NC-fed mice. IGN and GBP had a different effect on the gut microbiota of mice fed with NC and HFHS diet. IGN inactivation increased abundance of Deltaproteobacteria on NC and of Proteobacteria such as Helicobacter on HFHS diet. GBP increased abundance of Firmicutes and Proteobacteria on NC-fed WT mice and of Firmicutes, Bacteroidetes and Proteobacteria on HFHS-fed WT mice. The combined effect of IGN inactivation and GBP increased abundance of Actinobacteria on NC and the abundance of Enterococcaceae and Enterobacteriaceae on HFHS diet. A reduction was observed in the amounf of short-chain fatty acids in fecal (by GBP) and in both fecal and urine (by IGN inactivation) metabolome. IGN and GBP, separately or combined, shape gut microbiota and microbiome on NC- and HFHS-fed mice, and modify fecal and urine metabolome.
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Carvalho Silveira F, Maranga G, Mitchell F, Nowak BA, Ren-Fielding CJ, Fielding GA. First-year weight loss following gastric band surgery predicts long-term outcomes. ANZ J Surg 2021; 91:2443-2446. [PMID: 34582100 DOI: 10.1111/ans.17233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND Laparoscopic adjustable gastric banding (LAGB) continues to be a valid surgical treatment option to address severe obesity. However, outcomes are varied and can be difficult to predict. Early prediction of suboptimal weight loss following LAGB may enable adjustments to postoperative care and consequently improve surgical outcomes. Therefore, our aim is to investigate the prognostic utility of using early weight loss following LAGB to predict long-term weight outcomes. METHODS Clinical data from patients undergoing LAGB between 2001 and 2007 at a single institution were retrospectively collected and analysed. The data was used to inform a model for predicting long-term weight loss after LAGB surgery. Percent total weight loss (%TWL) greater than 20% 1 year after surgery was considered a measurement of success since it has been associated with the improvement of comorbidities and increased patient satisfaction. RESULTS The average %TWL 1 year after LAGB surgery was 23.73% (n = 1524, SD = 8.68%). Weight loss of less than 10% in 1 year was a negative predictor of weight loss >20% in 8-12 years (OR = 0.449; p = 0.002; 95% CI = 0.272-0.742). Moreover, weight loss >20% in 1 year was a strong predictor of weight loss >20% in 8-12 years (OR = 5.33; p < 0.001; 95% CI = 3.17-8.97). CONCLUSION Total body weight reduction of less than 10% 1 year after LAGB surgery suggests a lesser weight loss at 8-12 years. For these patients, targeted interventions would be appropriate to increase the chances of long-term success.
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Affiliation(s)
| | - Gabrielle Maranga
- Department of Surgery, New York University School of Medicine, New York, New York, USA
| | - Fernanda Mitchell
- Department of Surgery, New York University School of Medicine, New York, New York, USA
| | - Brittany A Nowak
- Department of Surgery, New York University School of Medicine, New York, New York, USA
| | | | - George A Fielding
- Department of Surgery, New York University School of Medicine, New York, New York, USA
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