Perirenal fat thickness contributes to the estimated 10-year risk of cardiovascular disease and atherosclerotic cardiovascular disease in type 2 diabetes mellitus

Perirenal adipose tissue (PAT) has emerged as a potential therapeutic target for cardiovascular disease (CVD). However, the relationship between increased perirenal fat thickness (PrFT) and CVD risks in individuals with type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to evaluate...

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Bibliographic Details
Published in:Frontiers in endocrinology (Lausanne) 2024-07, Vol.15, p.1434333
Main Authors: Wang, Wei, Lv, Feng Yan, Tu, Mei, Guo, Xiu Li
Format: Article
Language:English
Subjects:
Adipose Tissue - diagnostic imaging
Adipose Tissue - pathology
Adult
Aged
Atherosclerosis - diagnostic imaging
Atherosclerosis - epidemiology
cardiovascular disease risk
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - etiology
China - epidemiology
China-PAR equation risk scores
Diabetes Mellitus, Type 2 - complications
Diabetes Mellitus, Type 2 - epidemiology
Endocrinology
Female
Framingham risk scores
Humans
Intra-Abdominal Fat - diagnostic imaging
Intra-Abdominal Fat - pathology
Kidney - diagnostic imaging
Kidney - pathology
Male
Middle Aged
perirenal adipose tissue
perirenal fat thickness
Risk Assessment
Risk Factors
Tomography, X-Ray Computed
type 2 diabetes mellitus
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Summary:Perirenal adipose tissue (PAT) has emerged as a potential therapeutic target for cardiovascular disease (CVD). However, the relationship between increased perirenal fat thickness (PrFT) and CVD risks in individuals with type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to evaluate the association between PrFT and the estimated 10-year risk of CVD and atherosclerotic cardiovascular disease (ASCVD) in T2DM. The final analysis included 704 participants. PrFT was quantified using non-enhanced computed tomography scans, while the estimated 10-year CVD and ASCVD risk assessments were based on the Framingham and China-PAR equation risk scores, respectively. Multiple regression analysis was employed to analyze the correlation between PrFT and these risk scores. Higher quartiles of PrFT displayed elevated Framingham and China-PAR equation risk scores (
ISSN:1664-2392
1664-2392
DOI:10.3389/fendo.2024.1434333