Correlation between residual cholesterol and carotid intima-media thickness in non-diabetic population
10.3760/cma.j.issn.1673-4165.2023.01.006
- VernacularTitle:残余胆固醇与非糖尿病人群颈动脉内膜–中膜厚度的相关性
- Author:
Xiaoqiong DU
1
;
Xinchen MA
;
Xuan HE
;
Ruijie YANG
;
Dujuan SHA
Author Information
1. 南京医科大学鼓楼临床医学院全科医学科，南京 210008
- Keywords:
Carotid intima-media thickness;
Cholesterol;
Diabetes mellitus;
Ultrasonography;
Risk factors
- From:
International Journal of Cerebrovascular Diseases
2023;31(1):29-33
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between residual cholesterol (RC) and carotid intima-media thickness (cIMT) in non-diabetic population.Methods:Non-diabetes population received health examination in Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School from January 1, 2018 to December 31, 2021 were retrospectively included. According to the carotid ultrasound results, they were divided into cIMT thickening group (≥1 mm) and non-thickening group (<1 mm). The RC level was calculated according to total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Multivariate logistic regression analysis was used to determine the correlation between RC and cIMT. Results:A total of 1 803 non-diabetes subjects, aged 58.3±15.6 years, including 1 100 males (61.0%), were enrolled. There were 916 patients (50.8%) in the cIMT thickening group and 887 (49.2%) in the non-cIMT thickening group. Compared with the non-cIMT thickening group, cIMT thickening group had significantly higher proportion of male, hypertension, hyperlipidemia, atrial fibrillation, past stroke history, smoking and alcohol consumption, as well as significantly higher age, blood glucose, triglyceride, RC, TC and LDL-C, and significantly lower HDL-C (all P<0.01). Multivariate logistic regression analysis showed that RC was independently associated with cIMT thickening ( Ptrend<0.001). Conclusion:RC is associated with cIMT thickening in non-diabetes population.
