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Risk stratification using magnetic resonance imaging-derived, personalized z-scores of visceral adipose tissue, subcutaneous adipose tissue, and liver fat in persons with obesity.

Authors :
Linge, Jennifer
Widholm, Per
Nilsson, Daniel
Kugelberg, Alexander
Olbers, Torsten
Dahlqvist Leinhard, Olof
Source :
Surgery for Obesity & Related Diseases; May2024, Vol. 20 Issue 5, p419-424, 6p
Publication Year :
2024

Abstract

Individual patterns of fat accumulation (visceral, subcutaneous, and/or liver fat) can determine cardiometabolic risk profile. To investigate risk stratification using personalized fat z-scores in persons with a body mass index (BMI) of 30–40 kg/m<superscript>2</superscript> from the UK Biobank imaging study. Population-based study. Whole-body magnetic resonance (MR) images of 40,174 participants from the UK Biobank imaging study were analyzed for visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (aSAT), and liver fat (LF) and used to calculate sex- and body size-invariant fat z-scores (VATz, aSATz, LFz). Associations between z-scores and later incident cardiovascular disease (CVD) and type 2 diabetes (T2D) were investigated using Cox proportional hazards modeling and Kaplan-Meier curves in participants with BMI 30–40 kg/m<superscript>2</superscript>. A total of 6716 participants had BMI 30–40 kg/m<superscript>2</superscript> and within this group, CVD was positively associated with VATz (crude hazard ratio (cHR) [95% CI]: 1.30 [1.20–1.40], P <.001) and negatively associated with aSATz and LFz (cHR: 0.91 [0.85–0.99], P =.028, and 0.88 [0.82–0.95], P =.002). All z-scores remained significant after adjustment for sex, BMI, and age, but only VATz was significant when previous CVD was added. T2D was positively associated with VATz and LFz (cHR: 1.53 [1.40–1.67], P <.001, and 1.35 [1.23–148], P <.001) and negatively associated with aSATz (cHR: 0.90 [0.81–0.99], P =.026). All z-scores remained significant after adjustment for sex, BMI, and age. Personalized MR-derived fat z-scores can identify phenotypes of obesity with specific cardiometabolic risk profiles regardless of BMI. Current guidelines for bariatric surgery based on BMI exclude some of these high-risk patients. • Visceral, subcutaneous and liver fat z-scores identify different obesity phenotypes • Fat distribution phenotypes can determine cardiometabolic risk profile • Persons with high cardiometabolic risk may qualify for intensive obesity treatment [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15507289
Volume :
20
Issue :
5
Database :
Supplemental Index
Journal :
Surgery for Obesity & Related Diseases
Publication Type :
Academic Journal
Accession number :
176900168
Full Text :
https://doi.org/10.1016/j.soard.2024.01.009