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中性粒细胞与淋巴细胞比率和高敏 C 反应蛋白之间的不一致来预测稳定型冠状动脉疾病患者的临床事件:一项大规模队列研究
Authors He J, Song C, Zhang R, Yuan S, Li J, Dou K
Received 28 July 2023
Accepted for publication 10 November 2023
Published 20 November 2023 Volume 2023:16 Pages 5439—5450
DOI https://doi.org/10.2147/JIR.S428734
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Professor Ning Quan
Purpose: Neutrophil to lymphocyte ratio (NLR), a novel inflammatory biomarker, has been shown to positively predict prognosis independent of high-sensitivity C-reactive protein (hsCRP) in patients with coronary artery disease (CAD). This study aimed to use discordance analysis to evaluate the effectiveness of NLR and hsCRP to predict adverse events in patients with stable CAD.
Patients and Methods: This observational cohort study included 7827 consecutive CAD patients at Fuwai Hospital from March 2011 to April 2017. Discordant NLR with hsCRP was defined by the highest quartiles and medians. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCEs), including cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, and unplanned revascularization.
Results: During a median 36-month follow-up, 624 (8.0%) MACCEs occurred. Compared with the lowest NLR quartile, a significantly higher risk of MACCEs was observed in the highest NLR quartile after adjusting for confounding factors (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.09– 1.71). High NLR and low hsCRP discordance were also associated with an increased risk of MACCEs in the fully adjusted model (HR, 1.39; 95% CI, 1.05– 1.84).
Conclusion: This study demonstrated that discordantly elevated NLR levels were associated with a greater risk of adverse clinical events in patients with stable CAD, suggesting the potential clinical significance of NLR as a goal of inflammatory risk management.
Keywords: coronary artery disease, high-sensitivity C-reactive protein, inflammation, neutrophil to lymphocyte ratio, prognosis