The relation between atherogenic index of plasma and cardiovascular outcomes in prediabetic individuals with unstable angina pectoris

BMC Endocrine Disorders

Research

Yang Liu¹  Xunxun Feng¹  Yujie Zhou¹  Guangyao Zhai¹  Jiaqi Yang¹  Qianyun Guo¹  Bin Zhang² 

[1] Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China;Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China;

关键词: Atherogenic index of plasma;    Prediabetes;    Unstable angina pectoris;    Cardiovascular outcomes;    Risk factor;   

DOI  :  10.1186/s12902-023-01443-x

 received in 2022-10-29, accepted in 2023-08-24,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundThe atherogenic index of plasma (AIP) is a novel biomarker associated with atherosclerosis, and an important risk factor for atherosclerosis, but its relation with cardiovascular prognosis in prediabetic patients with unstable angina pectoris (UAP) is still uncertain.MethodsThis study included 1096 prediabetic patients with UAP who were subjected to follow-up for a maximum of 30 months, with cardiac death, refractory angina, and non-fatal myocardial infarction (MI) being the primary cardiovascular endpoints.ResultsA significantly increased AIP was observed for the group with primary cardiovascular endpoints. Kaplan–Meier curves corresponding to these endpoints revealed pronounced differences between these two AIP groups (Log-rank P < 0.001). Multivariate Cox proportional hazards analyses highlighted AIP as being independent related to this primary endpoint (HR 1.308, 95% CI: 1.213–1.412, P < 0.001). AIP addition to the baseline risk model improved the prediction of the primary endpoint (AUC: baseline model, 0.622, vs. baseline model + AIP, 0.739, P < 0.001).ConclusionsAIP could be used to predict cardiovascular events in prediabetic individuals with UAP.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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