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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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Khee GY, Lim PS, Chan YL, Lee PC. Collaborative Prescribing Practice in Managing Patients Post-Bariatric Surgery in a Tertiary Centre in Singapore. PHARMACY 2024; 12:31. [PMID: 38392938 PMCID: PMC10893196 DOI: 10.3390/pharmacy12010031] [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: 12/05/2023] [Revised: 01/29/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
Background: A collaborative prescribing (CP) practice model, established by the endocrinologists, pharmacists, and advanced practice nurses, aims to provide for the postoperative monitoring and medical and nutritional management of stable patients after bariatric surgery. Method: Under the CP agreement, endocrinologists refer patients who have undergone bariatric surgery with stable medical conditions to CP practitioners, comprising senior pharmacists and advanced practice nurses. CP practitioners review the patient's weight loss progress, blood test results and vitals, the sufficiency of micronutrient repletion, adherence to supplements and medications, and chronic disease control. CP practitioners can prescribe and adjust the medications and supplements, in accordance with a clinical evaluation and standard guidance. Patients who require immediate attention due to complications or red flags are referred to the primary endocrinologist for further management. Results: From 5 May 2020 to 30 September 2023, CP practitioners provided 672 consultations. At least 68% and 80% of patients achieved appropriate weight loss post-surgery during the acute and maintenance phases, respectively. Less than 10% of the patients presented with anaemia and iron deficiency, and vitamin B12, folate and vitamin D deficiency. More than 80% of patients achieved a HbA1c of less than 7%. Conclusions: The CP practice framework provides a sustainable and viable model to facilitate optimal outcomes after bariatric surgery.
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Affiliation(s)
- Giat Yeng Khee
- Department of Pharmacy, Singapore General Hospital, Singapore 169608, Singapore;
| | - Paik Shia Lim
- Department of Pharmacy, Singapore General Hospital, Singapore 169608, Singapore;
| | - Yoke Ling Chan
- Department of Speciality Nursing, Singapore General Hospital, Singapore 169608, Singapore;
| | - Phong Ching Lee
- Department of Endocrinology, Singapore General Hospital, Singapore 169608, Singapore;
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Mokhber S, Sheidaei A, Ahmadkaraji S, Setarehdan SA, Abdolhosseini MR, Kabir A, Solaymani-Dodaran M, Pazoukia A. Weight Reduction Percentile Charts: 2-Year Follow-up Results of OAGB and RYGB Post Bariatric Surgery. Obes Surg 2023; 33:3944-3950. [PMID: 37917390 DOI: 10.1007/s11695-023-06899-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/08/2023] [Accepted: 10/11/2023] [Indexed: 11/04/2023]
Abstract
PURPOSE Using a single percentile chart provides us with high standards for the evaluation and accurate investigation of sufficient weight loss after bariatric surgery, counseling, and treating patients in an evidence-based way. Creating percentile charts of weight loss for gastric bypass is the aim of this study. MATERIALS AND METHODS This retrospective study was based on data from patients who underwent RYGB or OAGB from February 2008 to February 2020. The lambda-mu-sigma (LMS) method was used to estimate the reduction in body mass index (BMI) and six other metrics measured throughout post-operative follow-up. Percentile charts for various metrics have been presented for the first 2 years' post-surgery. We applied a bootstrap sampling method to evaluate percentile validity. RESULTS We recruited 2579 and 1943 patients who underwent OAGB (75% female) and RYGB (84% female) and were between the ages of 18 and 70 years. The preoperative BMI of patients in the OAGB group was higher than in the RYGB group. Concerning RYGB weight reduction results, the maximum percentage of excess weight loss (%EWL) occurs 18 months after surgery and is steady at 24 months. Far above 50%, EWL is achieved after 6 months. OAGB weight loss follows the same trend as RYGB; at 6 months, the %EWL values are slightly higher than RYGB. CONCLUSIONS We present the first bariatric weight loss percentile chart for OAGB. It allows evaluation of sufficient and insufficient weight loss at any post-operative point in a visual aspect. Furthermore, it predicts prospective outcomes and guides patient monitoring.
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Affiliation(s)
- Somayeh Mokhber
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Rasoule-Akram Hospital, Mansouri St., Niyayesh Ave., Sattarkhan St., Tehran, 1445613113, Iran
| | - Ali Sheidaei
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Poursina St., Ghods Ave., Keshavarz Bld., Tehran, 1417653761, Iran
| | - Shahrzad Ahmadkaraji
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Rasoule-Akram Hospital, Mansouri St., Niyayesh Ave., Sattarkhan St., Tehran, 1445613113, Iran
| | - Seyed Amin Setarehdan
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Rasoule-Akram Hospital, Mansouri St., Niyayesh Ave., Sattarkhan St., Tehran, 1445613113, Iran
| | - Mohammad Reza Abdolhosseini
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Rasoule-Akram Hospital, Mansouri St., Niyayesh Ave., Sattarkhan St., Tehran, 1445613113, Iran
| | - Ali Kabir
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Rasoule-Akram Hospital, Mansouri St., Niyayesh Ave., Sattarkhan St., Tehran, 1445613113, Iran
| | - Masoud Solaymani-Dodaran
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Rasoule-Akram Hospital, Mansouri St., Niyayesh Ave., Sattarkhan St., Tehran, 1445613113, Iran.
| | - Abdolreza Pazoukia
- Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Rasoule-Akram Hospital, Mansouri St., Niyayesh Ave., Sattarkhan St., Tehran, 1445613113, Iran
- Center of Excellence for Minimally Invasive Surgery Training, Iran University of Medical Sciences, Tehran, Iran
- Center of Excellence of European Branch of International Federation for Surgery of Obesity, Tehran, Iran
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Saux P, Bauvin P, Raverdy V, Teigny J, Verkindt H, Soumphonphakdy T, Debert M, Jacobs A, Jacobs D, Monpellier V, Lee PC, Lim CH, Andersson-Assarsson JC, Carlsson L, Svensson PA, Galtier F, Dezfoulian G, Moldovanu M, Andrieux S, Couster J, Lepage M, Lembo E, Verrastro O, Robert M, Salminen P, Mingrone G, Peterli R, Cohen RV, Zerrweck C, Nocca D, Le Roux CW, Caiazzo R, Preux P, Pattou F. 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. Lancet Digit Health 2023; 5:e692-e702. [PMID: 37652841 DOI: 10.1016/s2589-7500(23)00135-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/04/2023] [Accepted: 07/11/2023] [Indexed: 09/02/2023]
Abstract
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).
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Affiliation(s)
- Patrick Saux
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Pierre Bauvin
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Violeta Raverdy
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Julien Teigny
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Hélène Verkindt
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Tomy Soumphonphakdy
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Maxence Debert
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Anne Jacobs
- Nederlandse Obesitas Kliniek, Huis Ter Heide, Netherlands
| | - Daan Jacobs
- Nederlandse Obesitas Kliniek, Huis Ter Heide, Netherlands
| | | | - Phong Ching Lee
- Department of Endocrinology, Division of Medicine, Singapore General Hospital, Singapore
| | - Chin Hong Lim
- Department of Upper Gastrointestinal and Bariatric Surgery, Division of Surgery, Singapore General Hospital, Singapore
| | - Johanna C Andersson-Assarsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Lena Carlsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Per-Arne Svensson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden; Institute of Health and Care Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Florence Galtier
- Endocrinology Department, CHU de Montpellier, University of Montpellier, Montpellier, France; Clinical Investigation Center 1411, INSERM, CHU de Montpellier, University of Montpellier, Montpellier, France
| | | | | | | | - Julien Couster
- Centre Hospitalier Boulogne-sur-Mer, Boulogne-sur-Mer, France
| | - Marie Lepage
- Centre Hospitalier Boulogne-sur-Mer, Boulogne-sur-Mer, France
| | - Erminia Lembo
- Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore Rome, Rome, Italy
| | - Ornella Verrastro
- Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore Rome, Rome, Italy
| | - Maud Robert
- Department of Digestive Surgery, Center of Bariatric Surgery, Hopital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
| | - Paulina Salminen
- Division of Digestive Surgery and Urology, Turku University Hospital, Turku, Finland; Department of Surgery, University of Turku, Turku, Finland
| | - Geltrude Mingrone
- Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore Rome, Rome, Italy
| | - Ralph Peterli
- University of Basle, Basle, Switzerland; Clarunis, Department of Visceral Surgery, University Centre for Gastrointestinal and Liver Diseases, St Clara Hospital and University Hospital Basle, Basle, Switzerland
| | - Ricardo V Cohen
- The Center for Obesity and Diabetes, Oswaldo Cruz German Hospital, São Paulo, Brazil
| | - Carlos Zerrweck
- Clínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General Tláhuac, Mexico City, Mexico
| | - David Nocca
- Department of Digestive Surgery, CHU de Montpellier, University of Montpellier, Montpellier, France
| | | | - Robert Caiazzo
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Philippe Preux
- Université de Lille, CNRS, Inria, Centrale Lille, UMR 9189 - CRIStAL, Lille, France.
| | - François Pattou
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France.
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Franken RJ, de Laar AWV. Evidence-Based Classification for Post-bariatric Weight Regain from a Benchmark Registry Cohort of 18,403 Patients and Comparison with Current Criteria. Obes Surg 2023; 33:2040-2048. [PMID: 37129789 DOI: 10.1007/s11695-023-06586-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 04/05/2023] [Accepted: 04/05/2023] [Indexed: 05/03/2023]
Abstract
INTRODUCTION There is a need for a standardized, evidence-based classification of post-bariatric weight-regain, to investigate and compare revision procedures and to advice and treat patients in an evidence-based way. METHODS We used standard deviations (SD) of the highest (1-2 years) and latest (> 2 years) percentage total weight loss (%TWL) results after primary bariatric surgery from the Dutch Audit for Treatment of Obesity (DATO) bariatric registry as benchmarks for (above) average (≥ - 1SD), poor (- 1SD to - 2SD) and insufficient (< - 2SD) weight loss. Weight regain maintaining (above) average weight loss was called grade 1, weight regain towards poor weight loss grade 2, towards insufficient weight loss grade 3, with subgrades 2a/3a for below average weight loss from the start, and 2b/3b for weight regain from (above) average to below average weight loss. Patient characteristics and diabetes improvement/impairment were compared. Sensitivity and specificity of 14 existing weight regain criteria were calculated. RESULTS We analyzed 93,465 results from 38,830 patients (77.1% gastric bypass, 22.5% sleeve gastrectomy). The - 1SD thresholds for early and late weight loss approximated 25%TWL and 20%TWL, the - 2SD threshold for late weight loss 10%TWL. Weight regain could be analyzed for 18,403 patients (2.5-5.2 years follow-up). They regained mean 6.7 kg (5.4%TWL), with 66.8% grade 1 weight regain, 7.2% grade 2a, 7.4% grade 2b, 2.1% grade 3a, and 0.6% grade 3b. There were significant differences in comorbidities, gender, age, weight regain, diabetes impairment, and diabetes improvement across grades. Weight regain criteria from literature were extremely divers. None had high sensitivity. CONCLUSION The DATO classification for post-bariatric weight regain combines the extent of weight regain with evidence-based endpoints of weight loss. It differentiated weight regain maintaining (above) average weight loss, two intermediate grades, gradual weight regain with below average weight loss from the start (primary non-response) and steep weight regain towards insufficient weight loss (secondary non-response). The classification is superior to existing criteria and well supported by evidence.
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Affiliation(s)
- R J Franken
- Department of Surgery, Spaarne Gasthuis, Spaarnepoort 1, 2134TM, Hoofddorp, Netherlands.
| | - A W Van de Laar
- Department of Surgery, Spaarne Gasthuis, Spaarnepoort 1, 2134TM, Hoofddorp, Netherlands
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Tan EYQ, Lee PC, Tham KW, Ganguly S, Lim CH, Liu JCJ. Examining spousal and family support as predictors of long-term weight loss and remission of type 2 diabetes following bariatric surgery in Singapore: a retrospective cohort study. BMJ Open 2023; 13:e068810. [PMID: 37130681 PMCID: PMC10163544 DOI: 10.1136/bmjopen-2022-068810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
OBJECTIVES Postoperative outcomes vary considerably across bariatric patients and may be related to psychosocial factors. In this study, we examined whether a patient's family support predicts postsurgical weight loss and the remission of type 2 diabetes mellitus (T2DM). DESIGN Retrospective cohort study in Singapore. SETTING Participants were recruited from a public hospital in Singapore. PARTICIPANTS Between 2008 and 2018, 359 patients completed a presurgical questionnaire before undergoing gastric bypass or sleeve gastrectomy. OUTCOME MEASURES As part of the questionnaire, patients described their family support in terms of structure (marital status, number of family members in the household) and function (marriage satisfaction, family emotional support, family practical support). Linear mixed-effects and Cox proportional-hazard models were used to examine whether these family support variables predicted percent total weight loss or T2DM remission up to 5 years postsurgery. T2DM remission was defined as glycated haemoglobin (HbA1c) <6.0% without medications. RESULTS Participants had a mean preoperative body mass index of 42.6±7.7 kg/m2 and HbA1c (%) of 6.82±1.67. Marital satisfaction was found to be a significant predictor of postsurgical weight trajectories. Namely, patients who reported higher marital satisfaction were more likely to sustain weight loss than patients who reported lower marital satisfaction (β=0.92, SE=0.37, p=0.02). Family support did not significantly predict T2DM remission. CONCLUSIONS Given the link between marital support and long-term weight outcomes, providers could consider asking patients about their spousal relationships during presurgical counselling. TRIAL REGISTRATION NUMBER NCT04303611.
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Affiliation(s)
- Edina Yi-Qin Tan
- Division of Social Sciences, Yale-NUS College, Singapore
- Centre for Sleep and Cognition, NUS Yong Loo Lin School of Medicine, Singapore
| | - Phong Ching Lee
- Department of Endocrinology, Singapore General Hospital, Singapore
| | - Kwang Wei Tham
- Department of Endocrinology, Singapore General Hospital, Singapore
| | - Sonali Ganguly
- Department of Endocrinology, Singapore General Hospital, Singapore
| | - Chin Hong Lim
- Department of Upper Gastrointestinal and Bariatric Surgery, Singapore General Hospital, Singapore
| | - Jean C J Liu
- Division of Social Sciences, Yale-NUS College, Singapore
- Centre for Sleep and Cognition, NUS Yong Loo Lin School of Medicine, Singapore
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Tham KW, Abdul Ghani R, Cua SC, Deerochanawong C, Fojas M, Hocking S, Lee J, Nam TQ, Pathan F, Saboo B, Soegondo S, Somasundaram N, Yong AML, Ashkenas J, Webster N, Oldfield B. Obesity in South and Southeast Asia-A new consensus on care and management. Obes Rev 2023; 24:e13520. [PMID: 36453081 PMCID: PMC10078503 DOI: 10.1111/obr.13520] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 12/03/2022]
Abstract
Obesity is a chronic disease in which the abnormal or excessive accumulation of body fat leads to impaired health and increased risk of mortality and chronic health complications. Prevalence of obesity is rising rapidly in South and Southeast Asia, with potentially serious consequences for local economies, healthcare systems, and quality of life. Our group of obesity specialists from Bangladesh, Brunei Darussalam, India, Indonesia, Malaysia, Philippines, Singapore, Sri Lanka, Thailand, and Viet Nam undertook to develop consensus recommendations for management and care of adults and children with obesity in South and Southeast Asia. To this end, we identified and researched 12 clinical questions related to obesity. These questions address the optimal approaches for identifying and staging obesity, treatment (lifestyle, behavioral, pharmacologic, and surgical options) and maintenance of reduced weight, as well as issues related to weight stigma and patient engagement in the clinical setting. We achieved consensus on 42 clinical recommendations that address these questions. An algorithm describing obesity care is presented, keyed to the various consensus recommendations.
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Affiliation(s)
- Kwang Wei Tham
- Singapore Association for the Study of Obesity, Singapore
| | | | - Sioksoan C Cua
- Division of Pediatric Endocrinology, Philippine General Hospital, Metro Manila, Philippines.,Department of Pediatrics, Chinese General Hospital, Cardinal Santos Medical Center, Manila Doctors Hospital, Metro Manila, Philippines
| | | | - Mia Fojas
- Department of Biochemistry and Molecular Biology, University of the Philippines College of Medicine, Manila, Philippines
| | - Samantha Hocking
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, Australia.,Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Boden Initiative, Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - June Lee
- Upper Gastrointestinal and Bariatric Surgery, Department of Surgery, Changi General Hospital, Singapore
| | - Tran Quang Nam
- Department of Endocrinology, Ho Chi Minh City University Medical Center, Ho Chi Minh City, Vietnam
| | - Faruque Pathan
- Department of Endocrinology, Ibrahim Memorial Diabetes Center, Dhaka, Bangladesh
| | - Banshi Saboo
- Dia Care Diabetes Care and Hormone Clinic, Ahmedabad, Gujarat, India
| | - Sidartawan Soegondo
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia.,Diabetes Connection and Care, Eka Hospitals, Jakarta, Indonesia
| | | | - Alice M L Yong
- Department of Internal Medicine, RIPAS Hospital, Bandar Seri Begawan, Brunei Darussalam
| | | | | | - Brian Oldfield
- Department of Physiology, Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia
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Wang L, Xu G, Tian C, Sang Q, Yu C, Wuyun Q, Wang Z, Chen W, Amin B, Wang D, Chen G, Lian D, Zhang N. Combination of Single-Nucleotide Polymorphisms and Preoperative Body Mass Index to Predict Weight Loss After Laproscopic Sleeve Gastrectomy in Chinese Patients with Body Mass Index ≥ 32.5 kg/m2. Obes Surg 2022; 32:3951-3960. [DOI: 10.1007/s11695-022-06330-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 10/11/2022] [Accepted: 10/11/2022] [Indexed: 11/24/2022]
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9
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Revisional Surgery or Pharmacotherapy for Insufficient Weight Loss and Weight Regain After Primary Bariatric Procedure: a Descriptive Study. Obes Surg 2022; 32:3298-3304. [PMID: 35994181 DOI: 10.1007/s11695-022-06191-w] [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: 10/17/2021] [Revised: 06/27/2022] [Accepted: 06/27/2022] [Indexed: 10/15/2022]
Abstract
PURPOSE Bariatric surgery is the most effective and durable treatment option for clinically severe obesity. Unfortunately, some degree of weight regain (WR) is common after nadir weight is achieved. Pharmacotherapy and revision surgery are potential options to treat this phenomenon. We aim to determine the efficacy of both approaches in patients with WR versus insufficient weight loss (IWL). MATERIALS AND METHODS We retrospectively reviewed a prospectively collected database of patients who underwent bariatric surgery from 2008 to 2018 with IWL or WR. RESULTS Of 422 patients with WR or IWL after bariatric surgery, 150 patients were placed on pharmacotherapy and 27 underwent revisional surgeries. Mean age of patients was 41.4 years and mean BMI was 42.1 kg/m2. The most common conversion surgery was LSG to RYGB. % Total weight loss (TWL) was higher in IWL group (23.8% ± 11.0) compared to WR group (17.2% ± 7.9) in revisional surgery (p = 0.02). The converse was observed for pharmacotherapy, with %TWL 1.9% in the WR group compared to 0.7% in the IWL group (p = 0.0067). CONCLUSION Patients with IWL or WR had modest weight loss with adjunctive use of pharmacotherapy after primary bariatric surgery. Conversely, revisional surgery is an effective treatment for both IWL and WR.
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