The Changes in Body Composition in Obese Patients with Polycystic Ovary Syndrome after Laparoscopic Sleeve Gastrectomy:a 12-Month Follow-up

Objectives To investigate the changes in body fat distribution and predicting factors of these changes in polycystic ovary syndrome (PCOS) patients with obesity, after laparoscopic sleeve gastrectomy (LSG). Methods This study consecutively enrolled 153 patients with obesity aged 18–45 years (83 with...

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Bibliographic Details
Published in:Obesity surgery 2021-09, Vol.31 (9), p.4055-4063
Main Authors: Cai, Meili, Gao, Jingyang, Du, Lei, Cheng, Xiaoyun, Zhou, Donglei, Zhu, Jiangfan, Qu, Shen, Zhang, Manna
Format: Article
Language:English
Subjects:
Body Composition
Body fat
Body Mass Index
China - epidemiology
Female
Follow-Up Studies
Gastrectomy
Gastrointestinal surgery
Humans
Insulin Resistance
Laparoscopy
Medicine
Medicine & Public Health
Obesity - complications
Obesity - surgery
Obesity, Morbid - surgery
Original Contributions
Ovaries
Polycystic ovary syndrome
Polycystic Ovary Syndrome - complications
Surgery
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Summary:Objectives To investigate the changes in body fat distribution and predicting factors of these changes in polycystic ovary syndrome (PCOS) patients with obesity, after laparoscopic sleeve gastrectomy (LSG). Methods This study consecutively enrolled 153 patients with obesity aged 18–45 years (83 with PCOS and 70 control patients) who underwent LSG from May 2013 to September 2020 at the Department of Endocrinology, Shanghai Tenth People’s Hospital, with a 12-month follow-up. Dual-energy X-ray absorptiometry (DEXA) was used to assess body fat distribution. Results The percentage of fat mass loss in the visceral adipose tissue (VAT) region (55.08%) was more than that in any other body regions at 12 months post-surgery in the PCOS group yet insignificant. Homeostatic model assessment of insulin resistance (HOMA-IR) at baseline and Δ HOMA-IR were only negatively correlated with the variations in VAT mass and volume at 3 months post-surgery in the PCOS group. Logistic regression analysis showed that HOMA-IR
ISSN:0960-8923
1708-0428
DOI:10.1007/s11695-021-05496-6