The combined predictive power of the atherogenic index of plasma and serum glycated albumin for cardiovascular events in postmenopausal patients with acute coronary syndrome after percutaneous coronary intervention.

IF 3.9 2区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xunxun Feng, Yang Liu, Jiaqi Yang, Shiwei Yang, Zhiming Zhou, Yujie Zhou, Qianyun Guo
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引用次数: 0

Abstract

Background: Glycated Albumin (GA) and atherogenic index of plasma (AIP) are two important biomarkers that respectively reflect lipid and glucose levels. Previous research has revealed their roles in cardiovascular diseases (CVD) and diabetes. However, their combined predictive ability in forecasting cardiovascular events (CVE) after percutaneous coronary intervention (PCI) among postmenopausal acute coronary syndrome (ACS) patients remains insufficiently studied.

Methods: Based on the levels of AIP (AIP-L and AIP-H) and GA (GA-L and GA-H), four groups were used to categorize the patients. The CVE assessed included cardiac death, nonfatal myocardial infarction (MI) and nonfatal stroke. To evaluate the relationship between AIP, GA, and CVE, multivariate Cox regression analyses were performed.

Results: 98 patients (7.5%) experienced CVE during follow-up. AIP and GA were revealed as strong independent predictors of CVE through multivariate analysis (AIP: HR 3.324, 95%CI 1.732-6.365, P = 0.004; GA: HR 1.098, 95% CI 1.023-1.177, P = 0.009). In comparison to those in the initial group (AIP-L and GA-L), the fourth group (AIP-H and GA-H) of patients exhibited the greatest CVE risk (HR 2.929, 95% CI 1.206-5.117, P = 0.018). Derived from the model of baseline risk, the combination of AIP + GA significantly enhanced the AUC, meanwhile combining AIP and GA levels maximized prognostic accuracy in the baseline risk model.

Conclusions: This study found that the combined measurement of AIP and GA significantly enhanced the predictive capability for CVE following PCI in postmenopausal ACS patients. By integrating these two biomarkers, it became possible to more accurately identify high-risk individuals and provided clinicians with new predictive tools for postmenopausal ACS patients in risk assessment and management.

经皮冠状动脉介入治疗后,血浆致动脉粥样硬化指数和血清糖化白蛋白对绝经后急性冠状动脉综合征患者心血管事件的综合预测能力。
背景:糖化白蛋白(GA)和血浆致动脉粥样硬化指数(AIP)是分别反映血脂和血糖水平的两个重要生物标志物。以往的研究已经揭示了它们在心血管疾病(CVD)和糖尿病中的作用。然而,它们在绝经后急性冠状动脉综合征(ACS)患者经皮冠状动脉介入治疗(PCI)后预测心血管事件(CVE)的综合预测能力仍未得到充分研究:根据 AIP(AIP-L 和 AIP-H)和 GA(GA-L 和 GA-H)的水平,将患者分为四组。评估的CVE包括心源性死亡、非致死性心肌梗死(MI)和非致死性中风。为评估 AIP、GA 和 CVE 之间的关系,进行了多变量 Cox 回归分析:结果:98 名患者(7.5%)在随访期间出现 CVE。通过多变量分析发现,AIP 和 GA 是 CVE 的强独立预测因子(AIP:HR 3.324,95%CI 1.732-6.365,P = 0.004;GA:HR 1.098,95%CI 1.023-1.177,P = 0.009)。与初始组(AIP-L 和 GA-L)相比,第四组(AIP-H 和 GA-H)患者的 CVE 风险最大(HR 2.929,95% CI 1.206-5.117,P = 0.018)。从基线风险模型得出,AIP+GA的组合能显著提高AUC,同时AIP和GA水平的组合能最大限度地提高基线风险模型的预后准确性:本研究发现,联合测量 AIP 和 GA 能显著提高绝经后 ACS 患者 PCI 后 CVE 的预测能力。通过整合这两种生物标志物,可以更准确地识别高危人群,为临床医生评估和管理绝经后 ACS 患者的风险提供了新的预测工具。
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来源期刊
Lipids in Health and Disease
Lipids in Health and Disease 生物-生化与分子生物学
CiteScore
7.70
自引率
2.20%
发文量
122
审稿时长
3-8 weeks
期刊介绍: Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.
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