Daniel Eriksson Hogling1, Mikael Rydén2, Jesper Bäckdahl2, Anders Thorell3, Peter Arner2, Daniel P Andersson2. 1. Department of Medicine (H7), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. Electronic address: daniel.eriksson-hogling@sll.se. 2. Department of Medicine (H7), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. 3. Department of Surgery, Karolinska Institutet, Ersta Hospital, Stockholm, Sweden.
Abstract
BACKGROUND: Bariatric surgery such as Roux-en-Y gastric bypass (RYGB) remains the most effective treatment of obesity and associated co-morbidities. Body fat distribution associates with metabolic function. OBJECTIVE: To investigate if preoperative body fat mass and distribution measured by dual-energy x-ray absorptiometry (DXA) predict weight loss and metabolic outcome after RYGB, and to compare predictive value of DXA with simple anthropometric measures. SETTING: Four Swedish hospitals within the Stockholm area. METHODS: Two hundred fifteen women scheduled for RYGB were included. Evaluations before and 2 years after RYGB included determination of insulin sensitivity by the homeostatic model assessment of insulin resistance, blood pressure, plasma lipids, and anthropometric measures, such as waist-to-hip-ratio and fat percentage estimated by formula. Body fat mass and distribution were determined by DXA. RESULTS: Follow-up rate was 77.2% (n = 166). All clinical, anthropometric, and DXA measures were improved/reduced postsurgery (all P<.0001). Android/gynoid fat mass ratio and waist-to-hip-ratio predicted improved homeostatic model assessment of insulin resistance (P = .0028 and .0014), independently of body mass index and age. Body fat percentage, measured by DXA or estimated by formula, predicted percent weight loss (P<.0001 and .0083). Body mass index predicted percent weight loss and percent excess body mass index lost (P = .0022 and<.0001). DXA and anthropometric measures performed equally as predictors, except for DXA measured fat percentage that was slightly better than formula estimated. CONCLUSION: DXA provided predictive values similar to those by basic anthropometric measures, suggesting a limited additional value of preoperative DXA to predict metabolic improvement and weight loss after RYGB in women.
BACKGROUND: Bariatric surgery such as Roux-en-Y gastric bypass (RYGB) remains the most effective treatment of obesity and associated co-morbidities. Body fat distribution associates with metabolic function. OBJECTIVE: To investigate if preoperative body fat mass and distribution measured by dual-energy x-ray absorptiometry (DXA) predict weight loss and metabolic outcome after RYGB, and to compare predictive value of DXA with simple anthropometric measures. SETTING: Four Swedish hospitals within the Stockholm area. METHODS: Two hundred fifteen women scheduled for RYGB were included. Evaluations before and 2 years after RYGB included determination of insulin sensitivity by the homeostatic model assessment of insulin resistance, blood pressure, plasma lipids, and anthropometric measures, such as waist-to-hip-ratio and fat percentage estimated by formula. Body fat mass and distribution were determined by DXA. RESULTS: Follow-up rate was 77.2% (n = 166). All clinical, anthropometric, and DXA measures were improved/reduced postsurgery (all P<.0001). Android/gynoid fat mass ratio and waist-to-hip-ratio predicted improved homeostatic model assessment of insulin resistance (P = .0028 and .0014), independently of body mass index and age. Body fat percentage, measured by DXA or estimated by formula, predicted percent weight loss (P<.0001 and .0083). Body mass index predicted percent weight loss and percent excess body mass index lost (P = .0022 and<.0001). DXA and anthropometric measures performed equally as predictors, except for DXA measured fat percentage that was slightly better than formula estimated. CONCLUSION: DXA provided predictive values similar to those by basic anthropometric measures, suggesting a limited additional value of preoperative DXA to predict metabolic improvement and weight loss after RYGB in women.
Authors: Daniel Eriksson Hogling; Jesper Bäckdahl; Anders Thorell; Mikael Rydén; Daniel P Andersson Journal: Obes Surg Date: 2020-03 Impact factor: 4.129
Authors: C D'Eusebio; S Boschetti; F Rahimi; G Fanni; A De Francesco; M Toppino; M Morino; E Ghigo; S Bo Journal: J Endocrinol Invest Date: 2020-08-25 Impact factor: 4.256