Hassan Aliakbarian1,2, Hina Y Bhutta1,2, Keyvan Heshmati1,2, Shebna Unes Kunju1,2, Eric G Sheu1,2, Ali Tavakkoli3,4. 1. Laboratory for Surgical and Metabolic Research, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA. 2. Harvard Medical School, Boston, MA, USA. 3. Laboratory for Surgical and Metabolic Research, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA. atavakkoli@bwh.harvard.edu. 4. Harvard Medical School, Boston, MA, USA. atavakkoli@bwh.harvard.edu.
Abstract
BACKGROUND: There are currently few pre-operative predictors of initial and long-term weight loss following bariatric surgery. OBJECTIVES: We evaluated the role of pre-operative patient characteristics and baseline gut and adipose-derived hormones in predicting maximal total body weight loss (WLmax) and risk of weight regain (WR) after Roux-en-Y gastric bypass (RYGB) surgery. METHODS: One hundred five adult patients undergoing primary RYGB were prospectively recruited. Baseline demographics were recorded and fasting plasma glucose, glycosylated hemoglobin (A1C), insulin, glucagon, leptin, active ghrelin, glucagon-like peptide 1 (GLP-1), and glucose-dependent insulinotropic polypeptide (GIP) levels were measured on day of surgery. RESULTS: Our cohort had a mean age of 44.4 ± 13.0 years, and initial BMI (body mass index) of 45.1 ± 6.7 kg/m2 with mean post-operative follow-up of 40 months. Eighty patients were female and 26 had type 2 diabetes mellitus (T2D). Average WLmax was 35.3 ± 7.4%. On univariate analysis, higher baseline fasting ghrelin, lower age, lower CRP (C-reactive protein), lower A1C, and negative T2D status were associated with greater WLmax (p < 0.05). Controlling for these variables using stepwise multivariate regression, only higher fasting ghrelin and younger age were associated significantly with greater WLmax (p < 0.05). In subgroup multivariate regression analysis of T2D patients, higher ghrelin and glucagon were significantly associated with greater WLmax. Following stepwise multivariate regression, lower initial BMI and lower glucagon were associated with greater WR (p < 0.05). CONCLUSIONS: Incorporation of baseline biological and hormonal markers may help in developing more accurate predictive models for weight loss following bariatric surgery that help inform patient counseling and decision-making.
BACKGROUND: There are currently few pre-operative predictors of initial and long-term weight loss following bariatric surgery. OBJECTIVES: We evaluated the role of pre-operative patient characteristics and baseline gut and adipose-derived hormones in predicting maximal total body weight loss (WLmax) and risk of weight regain (WR) after Roux-en-Y gastric bypass (RYGB) surgery. METHODS: One hundred five adult patients undergoing primary RYGB were prospectively recruited. Baseline demographics were recorded and fasting plasma glucose, glycosylated hemoglobin (A1C), insulin, glucagon, leptin, active ghrelin, glucagon-like peptide 1 (GLP-1), and glucose-dependent insulinotropic polypeptide (GIP) levels were measured on day of surgery. RESULTS: Our cohort had a mean age of 44.4 ± 13.0 years, and initial BMI (body mass index) of 45.1 ± 6.7 kg/m2 with mean post-operative follow-up of 40 months. Eighty patients were female and 26 had type 2 diabetes mellitus (T2D). Average WLmax was 35.3 ± 7.4%. On univariate analysis, higher baseline fasting ghrelin, lower age, lower CRP (C-reactive protein), lower A1C, and negative T2D status were associated with greater WLmax (p < 0.05). Controlling for these variables using stepwise multivariate regression, only higher fasting ghrelin and younger age were associated significantly with greater WLmax (p < 0.05). In subgroup multivariate regression analysis of T2D patients, higher ghrelin and glucagon were significantly associated with greater WLmax. Following stepwise multivariate regression, lower initial BMI and lower glucagon were associated with greater WR (p < 0.05). CONCLUSIONS: Incorporation of baseline biological and hormonal markers may help in developing more accurate predictive models for weight loss following bariatric surgery that help inform patient counseling and decision-making.
Entities:
Keywords:
Bariatric surgery; GI hormones; Ghrelin; Glucagon; Type-2 diabetes