AUTHOR=Wang Fei-Hong , Meng Long-Yan , Yu Tong-Ya , Tan Yan , Quan Hui , Hu Jia-Yu , Bai Qing-Ke , Xie Jun-Chao , Zhao Yan-Xin
TITLE=Associations of Abdominal Visceral Fat Content and Plasma Adiponectin Level With Intracranial Atherosclerotic Stenosis: A Cross-Sectional Study
JOURNAL=Frontiers in Neurology
VOLUME=13
YEAR=2022
URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.893401
DOI=10.3389/fneur.2022.893401
ISSN=1664-2295
ABSTRACT=BackgroundAbdominal obesity and adipocytokines are closely related to atherosclerosis, and adiponectin level is considered one of the important clinical indicators. This study aimed to analyze the associations of abdominal visceral fat content and adiponectin level with intracranial atherosclerotic stenosis (ICAS).
MethodsA total of 186 patients were enrolled in this study. Patients were distributed into ICAS and non-ICAS by the degree of artery stenosis. Plasma adiponectin levels and the ratio of visceral adipose tissue (VAT) to subcutaneous adipose tissue (SAT) were measured. The related factors of intracranial atherosclerotic stenosis were determined using multivariable logistic regression analysis.
ResultsThe VAT/SAT ratio (OR, 26.08; 95% CI, 5.92–114.83; p < 0.001) and adiponectin (OR, 0.61; 95% CI, 0.44–0.84; p = 0.002) were found to be the independent predictors of ICAS in a multivariable logistic regression analysis. The prevalence of ICAS increased (T1: 27.4%; T2: 50.0%; T3: 75.8%) as the VAT/SAT ratio tertile increased (p < 0.001). The prevalence of ICAS decreased (T1: 72.6%; T2: 54.8%; T3: 25.8%) as the adiponectin tertile increased (p < 0.001). In ROC curves analysis, VAT/SAT ratio had a sensible accuracy for the prediction of ICAS. The optimal cut-off value of VAT/SAT ratio to predict ICAS in this study was 1.04 (AUC: 0.747; p < 0.001; sensitivity: 67.4%; specificity: 74.7%). The optimal adiponectin cutoff was 3.03 ug/ml (AUC: 0.716; p < 0.001; sensitivity:75.8%; specificity: 61.5%).
ConclusionHigher VAT/SAT ratio and lower plasma adiponectin levels were closely related to the increased risk of intracranial atherosclerotic stenosis.