Chen Cuiping, Gu Lei, Chen Luyun, Hu Wangwang, Feng Xiaowen, Qiu Fengzhen, Fan Zijian, Chen Qitao, Qiu Jiayou, Shao Bei
Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Front Neurol. 2021 Jan 25;11:525621. doi: 10.3389/fneur.2020.525621. eCollection 2020.
Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been emerging as the novel inflammatory biomarkers for determining the prognosis of various diseases. This study aimed to investigate the individual and joint effects of NLR and PLR on functional outcomes of acute ischemic stroke (AIS). Our study involved 448 eligible patients with first-ever AIS. Clinical and laboratory data were collected on admission within 72 h from stroke onset. Unfavorable functional outcome was defined as a modified Rankin Scale score of 3-6 at 3 months after AIS. Cox proportional hazard model and spline regression models was used to estimate the effect of NLR and PLR on risk of adverse outcomes after the last patient who completed a 3-months follow-up was enrolled. After adjusting confounders, NLR were significantly associated with the unfavorable functional outcomes (-trend < 0.001). So were PLR (-trend < 0.001). NLR was discovered to have higher predictive value than PLR (AUC = 0.776, 95%CI = 0.727-0.825, < 0.001; AUC = 0.697, 95%CI = 0.641-0.753, < 0.001). The optimal cutoff values for NLR and PLR was 3.51 and 141.52, respectively. Stratified analysis performed by cox proportional hazard model showed that high level of NLR and PLR (NLR ≥ 3.51, PLR ≥ 141.52) presented the highest risk of unfavorable functional outcomes (adjusted HR, 3.77; 95% CI: 2.38-5.95; < 0.001). Followed by single high level of NLR (adjusted HR, 2.32; 95% CI: 1.10-4.87; = 0.027). Single high level of PLR (NLR < 3.51, PLR ≥ 141.52) also showed higher risk than low level of the combination, but it did not reach statistical significance (adjusted HR, 1.42; 95% CI: 0.75-2.70; = 0.285). No obvious additive [relative excess risk due to interaction (RERI) not significant] or multiplicative (adjusted HR, 0.71; 95%CI: 0.46-1.09; = 0.114) interaction was found between the effects of NLR and PLR on the risk of unfavorable functional outcomes. This study demonstrated that both NLR and PLR were independent predictors of 3-months functional outcomes of AIS. They may help to identify high-risk patients more forcefully when combined together.
中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)已逐渐成为用于判断各种疾病预后的新型炎症生物标志物。本研究旨在探讨NLR和PLR对急性缺血性卒中(AIS)功能结局的单独及联合影响。我们的研究纳入了448例首次发生AIS的符合条件的患者。在卒中发作后72小时内入院时收集临床和实验室数据。不良功能结局定义为AIS后3个月改良Rankin量表评分为3 - 6分。在最后一名完成3个月随访的患者入组后,使用Cox比例风险模型和样条回归模型来估计NLR和PLR对不良结局风险的影响。调整混杂因素后,NLR与不良功能结局显著相关(-趋势<0.001)。PLR也是如此(-趋势<0.001)。发现NLR比PLR具有更高的预测价值(AUC = 0.776,95%CI = 0.727 - 0.825,<0.001;AUC = 0.697,95%CI = 0.641 - 0.753,<0.001)。NLR和PLR的最佳截断值分别为3.51和141.52。通过Cox比例风险模型进行的分层分析表明,高水平的NLR和PLR(NLR≥3.51,PLR≥141.52)出现不良功能结局的风险最高(调整后HR,3.77;95%CI:2.38 - 5.95;<0.001)。其次是单一高水平的NLR(调整后HR,2.32;95%CI:1.10 - 4.87;= 0.027)。单一高水平的PLR(NLR < 3.51,PLR≥141.52)也显示出比低水平组合更高的风险,但未达到统计学意义(调整后HR,1.42;95%CI:0.75 - 2.70;= 0.285)。未发现NLR和PLR对不良功能结局风险的影响之间存在明显的相加作用[交互作用导致的相对超额风险(RERI)不显著]或相乘作用(调整后HR,0.71;95%CI:0.46 - 1.09;= 0.114)。本研究表明,NLR和PLR都是AIS 3个月功能结局的独立预测因素。它们联合起来可能更有力地帮助识别高危患者。