Department of Cardiology, University of Health Sciences, Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Center, Training and Research Hospital, Istanbul, Turkey.
Angiology. 2021 Feb;72(2):166-173. doi: 10.1177/0003319720958556. Epub 2020 Sep 18.
The neutrophil to lymphocyte ratio (NLR) predicts adverse clinical outcomes in several cardiovascular diseases. Our aim was to investigate the association of residual SYNTAX score (rSS) with the NLR in patients (n = 613) with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention. Patients were divided into 2 groups: group 1 with low NLR (<2.59) and group 2 with high NLR (>2.59). Coronary artery disease severity was calculated for both groups besides baseline clinical and demographic variables. Receiver operating characteristic curve analysis demonstrated that NLR with a cutoff value of 2.59 had good predictive value for increased rSS (area under the curve = 0.707, 95% CI: 0.661-0.752, < .001). The median rSS value of group 2 was higher (2.0 [0-6.0]; 4.0 [0-10.0], < .001) compared with group 1; the number of patients with high rSS was also higher in group 2 (26 [9.7%]; 107 [31.0%], < .001). In multivariate logistic regression analysis, the NLR (odds ratio = 3.933; 95% CI: 2.419-6.393; < .001) was an independent predictor of high rSS. Additionally, there was a positive correlation between NLR and rSS (r = 0.216, < .001). In conclusion, higher NLR was an independent predictor of increased rSS in patients with STEMI.
中性粒细胞与淋巴细胞比值（NLR）可预测几种心血管疾病的不良临床结局。我们的目的是研究在接受直接经皮冠状动脉介入治疗的 ST 段抬高型心肌梗死（STEMI）患者（n=613）中，残余 SYNTAX 评分（rSS）与 NLR 的相关性。患者被分为 2 组：NLR 低组（<2.59）和 NLR 高组（>2.59）。除了基线临床和人口统计学变量外，还对两组患者的冠状动脉疾病严重程度进行了计算。受试者工作特征曲线分析表明，NLR 截断值为 2.59 时对 rSS 升高具有良好的预测价值（曲线下面积=0.707，95%CI：0.661-0.752，<0.001）。NLR 高组的 rSS 中位数较高（2.0[0-6.0]；4.0[0-10.0]，<0.001），且 NLR 高组患者中 rSS 高的人数也较多（26[9.7%]；107[31.0%]，<0.001）。在多变量逻辑回归分析中，NLR（比值比=3.933；95%CI：2.419-6.393；<0.001）是 rSS 升高的独立预测因子。此外，NLR 与 rSS 之间呈正相关（r=0.216，<0.001）。总之，STEMI 患者中 NLR 较高是 rSS 升高的独立预测因子。
