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Dataset Information

A multi-center study on glucometabolic response to bariatric surgery for different subtypes of obesity.


ABSTRACT:

Objectives

To assess the benefit of a bariatric surgery in four artificial intelligence-identified metabolic (AIM) subtypes of obesity with respect to the improvement of glucometabolism and the remission of diabetes and hyperinsulinemia.

Methods

This multicenter retrospective study prospectively collected data from five hospitals in China from 2010 to 2021. At baseline 1008 patients who underwent a bariatric surgery were enrolled (median age 31 years; median BMI 38.1kg/m2; 57.40% women) and grouped into the four AIM subtypes. Baseline and follow-up data (506 and 359 patients at 3- and 12-month post-surgery) were collected for longitudinal effect analysis.

Results

Out of the four AIM subgroups, hypometabolic obesity (LMO) group was characterized by decompens

SUBMITTER: Liu Y 

PROVIDER: S-EPMC9669340 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature