Cohort study on cumulative atherosclerosis-related index in evaluating new-onset non-alcoholic fatty liver disease
10.3760/cma.j.cn311367-20240526-00210
- VernacularTitle:累积动脉粥样硬化相关指数评估新发非酒精性脂肪性肝病的队列研究
- Author:
Jiayi DENG
1
;
Xinlei MIAO
;
Manling HU
;
Meng LI
;
Yangxuan HE
;
Fei XU
;
Song LENG
Author Information
1. 大连医科大学附属第二医院健康管理中心，大连 116023
- Publication Type:Journal Article
- Keywords:
Atherogenic index of plasma;
Atherosclerosis index;
Non-alcoholic fatty liver disease;
Health management
- From:
Chinese Journal of Digestion
2025;45(8):526-533
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the correlation of cumulative atherogenic index of plasma (cumAIP) and cumulative atherosclerosis index (cumAI) with new-onset non-alcoholic fatty liver disease (NAFLD).Methods:From January 2017 to December 2023, 2 472 subjects who underwent health checkups at the Second Affiliated Hospital of Dalian Medical University for 3 consecutive years were enrolled. Triglyceride, total cholesterol, high density lipoprotein cholesterol and their measurement time intervals were used to calculate cumAIP and cumAI. The subjects were divided into Q1, Q2, Q3 and Q4 groups with the threshold values of 25th percentile, median and 75th percentile of the baseline atherogenic index of plasma (AIP) and atherosclerotic index (AI) subjects. Cox regression model was used to analyze the effects of cumAIP and cumAI on the new-onset NAFLD, restricted cubic spline was performed to analyze the nonlinear association between cumAIP and cumAI and new-onset NAFLD, and the clinical decision curve was used to compare the decision value of different indicators for NAFLD. Results:The risk of NAFLD gradually increased along with the increasing of cumAIP and cumAI. In the quartile groups of cumAIP, the incidence of Q1 to Q4 groups was 6.15%, 8.74%, 15.05%, and 25.08%, respectively. In the quartile groups of cumAI, the incidence of Q1 to Q4 groups was 5.99%, 11.17%, 15.21%, and 22.65%, respectively. After adjusting the confounding factors, the risk of new-onset NAFLD in the high-level group ( Q4) was higher than that in the low-level cumAIP group ( Q1) ( HR=3.15, 95% confidence interval (95% CI): 2.15 to 4.63, P<0.001) and the high-level cumAI group ( Q4) ( HR=2.74, 95% CI: 1.82 to 4.10, P<0.001). cumAIP and cumAI showed a significant nonlinear association with new-onset NAFLD ( χ2=119.15, 94.53; both P<0.001). The cumAIP had higher predictive value for NAFLD than the other cumulative lipid metrics and baseline AIP or AI. Conclusion:CumAIP and cumAI can be served as new predictive indicators of NAFLD, with a particular focus on the dynamic cumulative changes of AIP, which can achieve effective early screening for NAFLD.
