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ORIGINAL RESEARCH

Discordance Between Neutrophil to Lymphocyte Ratio and High Sensitivity C-Reactive Protein to Predict Clinical Events in Patients with Stable Coronary Artery Disease: A Large-Scale Cohort Study

, , , , &
Pages 5439-5450 | Received 28 Jul 2023, Accepted 10 Nov 2023, Published online: 20 Nov 2023
 

Abstract

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.

Data Sharing Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

This work was supported by the CAMS Innovation Fund for Medical Sciences (CIFMS) [grant number, 2021-I2M-1-008].