Association between the atherogenic index of plasma and coronary collateral circulation in patients with chronic total occlusion

被引:1
作者
Dong, Shutong [1 ]
Qiao, Jiaming [1 ]
Gao, Ang [1 ]
Zhao, Zehao [1 ]
Huang, Xin [1 ]
Kan, Yi [1 ]
Yang, Zhiqiang [1 ]
Ma, Meishi [1 ]
Fan, Chu [1 ]
Han, Hongya [1 ]
Zhou, Yujie [1 ]
机构
[1] Capital Med Univ, Beijing Anzhen Hosp, Dept Cardiol,Beijing Inst Heart Lung & Blood Vesse, Clin Ctr Coronary Heart Dis,Beijing Key Lab Precis, Beijing 100029, Peoples R China
来源
BMC CARDIOVASCULAR DISORDERS | 2024年 / 24卷 / 01期
关键词
Atherogenic index of plasma; Coronary artery disease; Chronic total occlusion; Coronary collateral circulation; Triglyceride; High-density lipoprotein cholesterol; DENSITY-LIPOPROTEIN CHOLESTEROL; PARTICLE-SIZE; IMPACT; RISK; LDL;
D O I
10.1186/s12872-024-03992-y
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background The atherogenic index of plasma (AIP) is considered an independent risk factor for coronary artery disease (CAD). The present study investigated whether AIP correlates with the formation of coronary collateral circulation (CCC) in CAD patients with chronic total occlusion (CTO). Methods This retrospective study included 1093 CAD patients with CTO confirmed by coronary angiography from January 2020 to December 2020 at Beijing Anzhen Hospital. Based on the Rentrop scoring system, the patients were divided into the good CCC group and the poor CCC group. AIP was calculated by log (triglyceride/high-density lipoprotein cholesterol). Meanwhile, the study population was further divided into four groups according to the quartiles of AIP. Results Patients in the poor CCC group exhibited significantly higher AIP compared to those in the good CCC group (0.31 +/- 0.27 vs. 0.14 +/- 0.24, p < 0.001). Multivariate logistic regression analysis revealed an independent association between AIP and poor CCC, regardless of whether AIP was treated as a continuous or categorical variable (p < 0.001), after adjusting for confounding factors. Besides, this association remained consistent across most subgroups. The incorporation of AIP into the baseline model significantly enhanced the accuracy of identifying poor CCC [area under the curve (AUC): baseline model, 0.661 vs. baseline model + AIP, 0.721, p for comparison < 0.001]. Conclusions Elevated AIP is independently associated with an increased risk of poor CCC in CAD patients with CTO, and AIP may improve the ability to identify poor CCC in clinical practice.
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页数:14
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