Pre-operative Predictors of Weight Loss and Weight Regain Following Roux-en-Y Gastric Bypass Surgery: a Prospective Human Study
Pre-operative Predictors of Weight Loss and Weight Regain Following Roux-en-Y Gastric Bypass Surgery: a Prospective Human Study
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DOI:
10.1007/s11695-020-04877-7
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发表时间:
2020-08-03
期刊:
影响因子:
2.9
通讯作者:
Tavakkoli, Ali
中科院分区:
文献类型:
--
作者:
Aliakbarian, Hassan;Bhutta, Hina Y.;Tavakkoli, Ali
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/m(2)with mean post-operative follow-up of 40 months. Eighty patients were female and 26 had type 2 diabetes mellitus (T2D). Average WL(max)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.