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血小板与淋巴细胞比值与ICU中心力衰竭患者1年全因死亡率的关联

Association of platelet-to-lymphocyte ratio with 1-year all-cause mortality in ICU patients with heart failure.

作者信息

Hu Xinyu, Cheng Shijiao, Du Huaan, Yin Yuehui

机构信息

Department of Cardiovascular Medicine, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, 400072, China.

Chongqing Key Laboratory of Arrhythmias, Chongqing, 400072, China.

出版信息

Sci Rep. 2024 Dec 30;14(1):32016. doi: 10.1038/s41598-024-83583-1.

Abstract

The Platelet-to-Lymphocyte Ratio (PLR) has emerged as a cost-effective biomarker for systemic inflammation and adverse cardiovascular outcomes, yet its prognostic value in critically ill patients with heart failure (HF) remains unclear. Leveraging the MIMIC-IV database, this study investigates the association between PLR and 1-year all-cause mortality in 7,217 ICU patients with HF. Patients were stratified into tertiles (0-126.45, 126.45-252.40, and 252.40-1000), and mortality risk was analyzed using Kaplan-Meier survival curves and Cox proportional hazards models. Elevated PLR was independently associated with higher mortality, with the highest tertile showing a 36% increased risk compared to the lowest (HR 1.36, 95% CI: 1.23-1.50, P < 0.001). Each tertile increment corresponded to a 17% rise in risk. Subgroup analyses revealed stronger associations in hypertensive patients and identified renal dysfunction and red cell distribution width as key modifiers. Integrating PLR with SOFA and APS III scores significantly enhanced predictive accuracy. By reflecting systemic inflammation and immune dysregulation, PLR offers a robust tool for long-term risk stratification and personalized management of ICU patients with HF. These findings highlight the potential of PLR to refine prognostic models, guide clinical decision-making, and improve critical care outcomes.

摘要

血小板与淋巴细胞比值(PLR)已成为一种经济有效的全身炎症和不良心血管结局生物标志物,但其在重症心力衰竭(HF)患者中的预后价值仍不明确。本研究利用MIMIC-IV数据库,调查了7217例ICU HF患者中PLR与1年全因死亡率之间的关联。患者被分为三分位数组(0 - 126.45、126.45 - 252.40和252.40 - 1000),并使用Kaplan-Meier生存曲线和Cox比例风险模型分析死亡风险。PLR升高与较高的死亡率独立相关,最高三分位数组与最低三分位数组相比,风险增加36%(风险比1.36,95%置信区间:1.23 - 1.50,P < 0.001)。每增加一个三分位数,风险上升17%。亚组分析显示高血压患者的关联更强,并确定肾功能不全和红细胞分布宽度为关键调节因素。将PLR与序贯器官衰竭评估(SOFA)和急性生理与慢性健康状况评分系统III(APS III)评分相结合,显著提高了预测准确性。通过反映全身炎症和免疫失调,PLR为ICU HF患者的长期风险分层和个性化管理提供了一个强大的工具。这些发现凸显了PLR在完善预后模型、指导临床决策和改善重症监护结局方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1116/11686032/df3f9cafd142/41598_2024_83583_Fig1_HTML.jpg

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