Association between the atherogenic index of plasma and risk of large-artery atherosclerotic ischemic stroke

作者：Wen Zhong, Nini Zhu, Xiaozhu Shen, Zhonglin Ge, Xiguang Liu, Guanghui Zhang, Qi Fang, Jingxian Liao · 发表于：Frontiers in Neurology · 年份：2025 · DOI：10.3389/fneur.2025.1529628 · 被引用次数：8 · 研究领域：Inflammatory Biomarkers in Disease Prognosis、Atherosclerosis and Cardiovascular Diseases、Cardiovascular Disease and Adiposity

Objective: Ischemic stroke caused by large artery atherosclerosis (LAA) is a major subtype of ischemic stroke and poses a heavy public health burden. Plasma atherogenic index (AIP) reflects the balance between pro- and anti-atherogenic lipid components and has emerged as a potential biomarker of cardiovascular disease. The aim of this study was to investigate the role of AIP in predicting ischemic stroke caused by LAA. Methods: This retrospective, cross-sectional study involved 2,382 ischemic stroke patients. AIP values were measured, and subjects were further stratified according to AIP levels. Univariate and multivariate logistic regression analyses were conducted to explore the relationship between AIP and the risk of LAA. Restricted cubic spline (RCS) analysis was used to detect the potential non-linear relationship, and receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive ability of AIP. Subgroup analyses were carried out to identify specific populations with a higher risk of LAA. Results: Individuals with consistently high levels of AIP were at increased risk of developing LAA, and this risk increased progressively with increasing levels of AIP. RCS analyses showed a threshold of 0.10 for the AIP index, a significant increase in the probability of LAA above this threshold, and a non-linear relationship between AIP and LAA. Univariate and multivariate logistic regression analyses showed that, as a continuous variable, each unit ...