Regolo Matteo, Vaccaro Mauro, Sorce Alessandra, Stancanelli Benedetta, Colaci Michele, Natoli Giuseppe, Russo Mario, Alessandria Innocenza, Motta Massimo, Santangelo Nicola, Fiorito Letizia, Giarrusso Ornella, Giangreco Federica, Arena Andrea, Noto Paola, Ciampi Claudio, Carpinteri Giuseppe, Malatino Lorenzo
Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.
Department of Emergency Medicine, San Marco-Polyclinic Academic Hospital, 95124 Catania, Italy.
J Clin Med. 2022 Apr 16;11(8):2235. doi: 10.3390/jcm11082235.
The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 infection. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of patients with COVID-19 were compared. The median age of our sample was 72 years (interquartile range: 70−75); 237 were males. Hypertension, diabetes and ischemic heart disease were the most common comorbidities. The study population was subdivided into three groups according to NLR tertiles. Third-tertile patients were older, showing significantly higher levels of inflammatory markers; 133 patients (32%) died during hospitalization, 81 of whom belonged to the third tertile; 79 patients (19%) were admitted to ICU. NLR showed the largest area under the curve (0.772), with the highest specificity (71.9%) and sensitivity (72.9%), whereas CRP showed lower sensitivity (60.2%) but slightly higher specificity (72.3%). Comparisons between NLR and CRP ROC curves were significantly different (p = 0.0173). Cox regression models showed that the association between NLR and death was not weakened after adjustment for confounders. Comparisons of ROC curves showed no significant differences between NLR, PLR, and CRP. Cox regression analysis showed that NLR predicted the risk of admission to ICU independently of demographic characteristics and comorbidities (HR: 3.9597, p < 0.0001). These findings provide evidence that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients and may help identify high-risk individuals with COVID-19 infection at admission.
中性粒细胞与淋巴细胞比值(NLR)是一种预测多种疾病预后的炎症标志物。我们旨在评估其作为新型冠状病毒肺炎(COVID-19)患者死亡率或入住重症监护病房的预测指标的作用。我们回顾性评估了一组411例COVID-19感染患者。比较了COVID-19患者的中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)及C反应蛋白(CRP)。我们样本的中位年龄为72岁(四分位间距:70 - 75岁);男性237例。高血压、糖尿病和缺血性心脏病是最常见的合并症。根据NLR三分位数将研究人群分为三组。三分位数最高组的患者年龄较大,炎症标志物水平显著更高;133例患者(32%)在住院期间死亡,其中81例属于三分位数最高组;79例患者(19%)入住重症监护病房。NLR曲线下面积最大(0.772),特异性最高(71.9%),敏感性最高(72.9%),而CRP敏感性较低(60.2%),但特异性略高(72.3%)。NLR与CRP的ROC曲线比较差异有统计学意义(p = 0.0173)。Cox回归模型显示,校正混杂因素后,NLR与死亡之间的关联未减弱。ROC曲线比较显示,NLR、PLR和CRP之间无显著差异。Cox回归分析显示,NLR独立于人口统计学特征和合并症可预测入住重症监护病房的风险(风险比:3.9597,p < 0.0001)。这些发现表明,NLR是COVID-19患者死亡率和不良结局的独立预测指标,可能有助于在入院时识别COVID-19感染的高危个体。