Comprehensive Assessment of Cardiovascular Risk in Diabetes Using Atherosclerosis Indicators
10.11969/j.issn.1673-548X.2025.05.007
- VernacularTitle:综合动脉粥样硬化指标评估糖尿病心血管风险
- Author:
Jing XU
1
;
Ruiyao LI
;
Yao WANG
Author Information
1. 250013 济南,山东第一医科大学;250013 济南,山东第一医科大学附属中心医院心血管内科;250013 济南,山东第一医科大学附属中心医院专科转化研究中心
- Publication Type:Journal Article
- Keywords:
Type 2diabetes mellitus;
Atherogenic index of plasma;
Carotid intima-media thickness;
Brachial-ankle pulse wave velocity;
Cardiovascular risk
- From:
Journal of Medical Research
2025;54(5):29-33
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the relationship between the atherogenic index of plasma(AIP),carotid intima-media thick-ness(CIMT),and brachial-ankle pulse wave velocity(baPWV)with the 10-year risk of atherosclerotic cardiovascular disease(AS-CVD)in patients with type 2diabetes mellitus(T2DM).Methods This study retrospectively analyzed the clinical data of 131 T2DM pa-tients managed through the National Metabolism Management Center(MMC)at the Affiliated Central Hospital of Shandong First Medical University from January 2020 to December 2022,all of whom had undergone AIP,CIMT and baPWV assessments.The 10-year ASCVD risk for each patient was estimated using the China-PAR model,classifying patients into low-to-moderate and high-risk groups.Uni-variate analysis was employed to identify variables correlated with cardiovascular risk,followed by multivariate Logistic regression analysis to evaluate the independent impact of AIP,CIMT and baPWV on ASCVD risk.The Hosmer-Lemeshow goodness-of-fit test was used to assess the suitability of the combined variables(AIP,CIMT and baPWV).Lastly,the predictive efficacy of the combined variables and individual indicators was assessed using receiver operating characteristic(ROC)curves and the DeLong test.Results Multivariate Logis-tic regression analysis demonstrated that AIP,CIMT and baPWV were independent risk factors for ASCVD in T2DM patients(OR＞1,P＜0.05).The Hosmer-Lemeshow goodness-of-fit test indicated satisfactory model fit(x2=2.725,P=0.950).The combined variable of AIP,CIMT and baPWV exhibited superior discriminative ability in predicting ASCVD risk among T2DM patients(AUC=0.834),sig-nificantly outperforming individual variables.Conclusion AIP,CIMT and baPWV have significant clinical value in assessing ASCVD risk in T2DM patients.Integrating these indicators enhances predictive performance,offering an effective tool for individualized cardiovascular risk assessment in T2DM patients.
