预防过早冠状动脉疾病:生物标志物筛选和身体活动的协同作用

Q3 Medicine
Gobardhan Kathariya, Jyoti Aggarwal, Rajesh Nandal, Mayank Madan, Sreenivas Reddy
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引用次数: 0

摘要

前言:目的:随着冠心病(CAD)患病率的增加,早期发现和危险分层至关重要。虽然缺乏运动与冠心病风险有关,但其在早期阶段的影响仍未得到充分研究。本研究旨在确定早期CAD诊断的生物标志物及其与身体活动(PA)的关系,最终降低发病率和死亡率。方法:本病例对照研究纳入300名年龄18-45岁的受试者。他们被细分为三类。此外,根据世界卫生组织(WHO)的标准,将第一组和第二组的200名受试者分为活跃、中度和久坐三类。分析血清高敏c反应蛋白(hs-CRP)、脂蛋白(a) [Lp(a)]、载脂蛋白A1 (Apo-A1)、载脂蛋白B100 (Apo-B100)和氧化低密度脂蛋白(氧化LDL)水平,计算非高密度脂蛋白胆固醇(non-HDL-C)水平。采用均数±标准误差(SEM)和受试者工作特征曲线下面积(AUROC)对各生化指标进行比较,采用单因素方差分析(ANOVA)和Bonferroni检验确定其与PA的显著性。结果:各组患者hs-CRP、Apo-B100、Lp(a)、non-HDL-C、氧化LDL均有显著差异。AUROC分析证实了它们与CAD风险的密切关联。此外,研究结果强调,积极的生活方式与更有利的生化特征有关,这可能有助于降低过早患CAD的风险。结论:研究建议将hs-CRP、Apo-B、Lp(a)、non-HDL-C、氧化LDL作为早期CAD的常规筛查指标。尽管这些生物标记物已被证明有效,但它们并没有被广泛使用。因此,将早期生物标志物筛查与生活方式改变相结合可以增强风险评估并改善治疗结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preventing Premature Coronary Artery Disease: The Synergistic Role of Biomarker Screening and Physical Activity.

Objective: With the increasing prevalence of premature coronary artery disease (CAD), early detection and risk stratification are crucial. While physical inactivity is linked to CAD risk, its impact in the early stages remains underexplored. This study aims to identify biomarkers for early CAD diagnosis and their association with physical activity (PA), ultimately reducing morbidity and mortality rates.

Methods: This case-control study enrolled 300 subjects aged 18-45 years. They were subdivided into three categories. Additionally, the 200 subjects in groups I and II were classified into active, moderate, and sedentary categories based on World Health Organization (WHO) criteria. Serum levels of high-sensitivity C-reactive protein (hs-CRP), lipoprotein (a) [Lp(a)], apolipoprotein A1 (Apo-A1), apolipoprotein B100 (Apo-B100), and oxidized low-density lipoprotein (oxidized LDL) were analyzed, whereas non-high-density lipoprotein cholesterol (non-HDL-C) was calculated. The comparison of these biochemical parameters was done in terms of mean ± standard error of the mean (SEM) and area under the receiver operating characteristic curve (AUROC), and their significance with PA was determined using one-way analysis of variance (ANOVA) and Bonferroni test.

Results: Significant differences in hs-CRP, Apo-B100, Lp(a), non-HDL-C, and oxidized LDL were observed across groups. AUROC analysis confirmed their strong association with CAD risk. Additionally, the findings highlight that an active lifestyle is linked to a more favorable biochemical profile, which may help mitigate the risk of premature CAD.

Conclusion: The study suggests including hs-CRP, Apo-B, Lp(a), non-HDL-C, and oxidized LDL in routine screening for early CAD detection. Despite their proven effectiveness, these biomarkers are not widely used. Therefore, integrating early biomarker screening with lifestyle modifications can enhance risk assessment and improve treatment outcomes.

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CiteScore
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