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Changes in thyroid hormones predict weight regain in patients with obesity who undergo metabolic surgery.

Authors :
Tang, Yi
Liu, Wei
Wang, Wuhao
Zhao, Huandong
Lu, Zongshi
Li, Qiang
Yan, Zhencheng
He, Hongbo
Zhao, Zhigang
Ke, Zhigang
Li, Fan
Tong, Weidong
Sun, Fang
Zhu, Zhiming
Source :
Diabetes, Obesity & Metabolism. Sep2024, Vol. 26 Issue 9, p3842-3848. 7p.
Publication Year :
2024

Abstract

Aim: To investigate the relationship between thyroid function and weight regain in patients with obesity after metabolic surgery. Methods: This retrospective study enrolled 162 patients who underwent metabolic surgery. Correlations between decreases in thyroid hormone levels and changes in weight, waist circumference (WC) and the Chinese visceral adiposity index (CVAI) were assessed. Binary logistic regression and receiver operating characteristic (ROC) curves were used to identify predictors and clinically useful cut‐off values, respectively. Results: The levels of thyroid‐stimulating hormone (TSH) and free triiodothyronine (FT3) decreased markedly at 1 year after surgery, as did weight, body mass index (BMI), triglycerides, total cholesterol, high‐density lipoprotein cholesterol, low‐density lipoprotein cholesterol, WC and CVAI. Decreases in TSH and FT3 after metabolic surgery were associated with changes in weight, BMI and CVAI. Binary logistic regression and ROC curve analyses confirmed that decreases in TSH can predict good weight loss after metabolic surgery to some extent. Finally, binary logistic regression and ROC curve analyses confirmed that changes in TSH can predict weight regain after metabolic surgery. Conclusions: Changes in TSH and FT3 after metabolic surgery were correlated with changes in weight and CVAI. Changes in thyroid hormones can predict weight regain in patients with obesity who underwent metabolic surgery. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14628902
Volume :
26
Issue :
9
Database :
Academic Search Index
Journal :
Diabetes, Obesity & Metabolism
Publication Type :
Academic Journal
Accession number :
178834920
Full Text :
https://doi.org/10.1111/dom.15731