ArticleBMC cardiovascular disorders2024
Association between the atherogenic index of plasma and coronary collateral circulation in patients with chronic total occlusion.
Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Atherogenic index of plasma and coronary artery disease: a systematic review and meta-analysis of observational studies.Cardiovascular diabetology · 2025Pooled it
- Lipid profile dynamics and associated cardiovascular disease risk indices in Chinese people living with human immunodeficiency virus receiving antiretroviral therapy.BMC infectious diseases · 2026Article
- Effect of the atherogenic index of plasma on the expression of platelet CD36 and CD62P in patients with acute ischemic stroke: a retrospective study from Tianjin, China.BMC neurology · 2026Article
- The Association Between Naples Prognostic Score and Coronary Collateral Circulation in Patients with Chronic Coronary Total Occlusion.Diagnostics (Basel, Switzerland) · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundThe 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).
methodsThis 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.
resultsPatients 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].
conclusionsElevated 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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