血小板/淋巴细胞和葡萄糖/淋巴细胞比值作为急性冠状动脉综合征住院患者的预后指标

IF 2.3 4区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Christos Kofos, Andreas S Papazoglou, Barbara Fyntanidou, Athanasios Samaras, Panagiotis Stachteas, Athina Nasoufidou, Aikaterini Apostolopoulou, Paschalis Karakasis, Alexandra Arvanitaki, Marios G Bantidos, Dimitrios V Moysidis, Nikolaos Stalikas, Dimitrios Patoulias, Apostolos Tzikas, George Kassimis, Nikolaos Fragakis, Efstratios Karagiannidis
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引用次数: 0

摘要

背景:新的和可获得的生物标志物可能会增加急性冠脉综合征(ACS)患者现有的风险分层方案。血小板与淋巴细胞比率(PLR)和葡萄糖与淋巴细胞比率(GLR)已成为全身性炎症和代谢应激的潜在指标,两者在ACS病理生理中都是关键的。本研究的目的是探讨PLR和GLR在ACS患者中的预后意义。方法:我们对2017年至2023年在希腊塞萨洛尼基Hippokration医院住院的ACS患者进行了回顾性队列研究。PLR和GLR由入院血液样本计算。主要终点是全因死亡率。采用Logistic和Cox回归模型研究PLR和GLR与全因死亡率的关系。还应用了受试者工作特征(ROC)分析、Kaplan-Meier生存曲线和受限三次样条(RCS)建模。结果:共纳入853例患者,中位年龄65岁,男性72.3%。较高的PLR和GLR与长期死亡风险增加独立相关[PLR的调整优势比(aOR): 1.007, 95% CI: 1.005-1.008;GLR: aOR = 1.006, 95% CI: 1.003-1.008]。PLR和GLR的最佳临界值分别为191.92和66.80。Kaplan-Meier和Cox回归分析证实,GLR和PLR值超过这些阈值的患者的生存率显著降低。RCS分析揭示了非线性关系,两种标志物水平越高,死亡风险急剧上升。与GLR (AUC: 0.602, 95% CI: 0.551-0.653)相比,PLR表现出更好的预后表现(AUC: 0.673, 95% CI: 0.614-0.723)。结论:虽然PLR表现出更高的预测准确性,但PLR和GLR始终与死亡率相关,并可能提供补充的预后信息。将这些比率纳入常规临床评估可以改善风险分层,特别是在资源有限的环境中或对于没有传统风险因素的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Platelet-to-Lymphocyte and Glucose-to-Lymphocyte Ratios as Prognostic Markers in Hospitalized Patients with Acute Coronary Syndrome.

Background: Novel and accessible biomarkers may add to the existing risk stratification schemes in patients with acute coronary syndrome (ACS). The platelet-to-lymphocyte ratio (PLR) and glucose-to-lymphocyte ratio (GLR) have emerged as potential indicators of systemic inflammation and metabolic stress, both of which are pivotal in ACS pathophysiology. The aim of this study was to investigate the prognostic significance of the PLR and GLR in patients with ACS.

Methods: We performed a retrospective cohort study of patients hospitalized with ACS between 2017 and 2023 at Hippokration Hospital of Thessaloniki, Greece. PLR and GLR were calculated from admission blood samples. The primary endpoint was all-cause mortality. Logistic and Cox regression models were used to investigate the associations of PLR and GLR with all-cause mortality. Receiver operating characteristic (ROC) analysis, Kaplan-Meier survival curves, and restricted cubic spline (RCS) modeling were also applied.

Results: In total, 853 patients (median age: 65 years, 72.3% males) were included. Higher PLR and GLR were independently associated with increased risk of long-term mortality [adjusted Odds Ratio (aOR) for PLR: 1.007, 95% CI: 1.005-1.008; and for GLR: aOR = 1.006, 95% CI: 1.003-1.008]. The optimal cut-off values were 191.92 for PLR and 66.80 for GLR. Kaplan-Meier and Cox regression analyses confirmed significantly reduced survival in patients with GLR and PLR values exceeding these thresholds. RCS analysis revealed non-linear relationships, with mortality risk rising sharply at higher levels of both markers. PLR showed superior prognostic performance (AUC: 0.673, 95% CI: 0.614-0.723) compared to GLR (AUC: 0.602, 95% CI: 0.551-0.653).

Conclusions: While PLR demonstrated greater predictive accuracy, both PLR and GLR were consistently associated with mortality and may provide complementary prognostic information. Incorporating those ratios into routine clinical assessment may improve risk stratification, particularly in resource-limited settings or for patients without traditional risk factors.

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来源期刊
Journal of Cardiovascular Development and Disease
Journal of Cardiovascular Development and Disease CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
2.60
自引率
12.50%
发文量
381
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