Department of Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
BMC Emerg Med. 2021 Feb 23;21(1):24. doi: 10.1186/s12873-021-00418-2.
Neutrophil-lymphocyte count ratio (NLCR) has been reported as better indicator of bacteremia than procalcitonin (PCT), and more precise predictor of mortality than C-reactive protein (CRP) under various medical conditions. However, large controversy remains upon this topic. To address the discrepancy, our group has compared the efficiency of NLCR with conventional inflammatory markers in predicting the prognosis of critical illness.
We performed a multi-center retrospective cohort study involving 536 ICU patients with outcomes of survival, 28- and 7-day mortality. NLCR was compared with conventional inflammatory markers such as PCT, CRP, serum lactate (LAC), white blood cell, neutrophil and severity score APACHE II (Acute Physiology and Chronic Health Evaluation II) to evaluate the potential outcomes of critical illness. Then, receiver operating characteristics (ROC) curves were constructed to assess and compare each marker's sensitivity and specificity respectively.
NLCR values were not different between survival and mortality groups. Meanwhile, remarkable differences were observed upon APACHE II score, CRP, PCT and LAC levels between survival and death groups. ROC analysis revealed that NLCR was not competent to predict prognosis of critical illness. The AUROCs of conventional markers such as CRP, PCT, LAC and APACHE II score were more effective in predicting 28- and 7-day mortality.
NLCR is less reliable than conventional markers CRP, PCT, LAC and APACHE II score in assessing severity and in predicting outcomes of critical illness.
中性粒细胞与淋巴细胞比值(NLCR)已被报道为比降钙素原(PCT)更好的菌血症指标,并且在各种医疗情况下比 C 反应蛋白(CRP)更能准确预测死亡率。然而,在这个话题上仍然存在很大的争议。为了解决这一分歧,我们的小组比较了 NLCR 与传统炎症标志物在预测危重病预后方面的效率。
我们进行了一项多中心回顾性队列研究,涉及 536 名 ICU 患者的生存结果、28 天和 7 天死亡率。将 NLCR 与传统炎症标志物(如 PCT、CRP、血清乳酸(LAC)、白细胞、中性粒细胞和严重程度评分急性生理学和慢性健康评估 II(APACHE II))进行比较,以评估危重病的潜在结果。然后,构建了受试者工作特征(ROC)曲线,分别评估和比较每个标志物的敏感性和特异性。
NLCR 值在生存组和死亡组之间没有差异。同时,在生存组和死亡组之间,APACHE II 评分、CRP、PCT 和 LAC 水平存在显著差异。ROC 分析表明,NLCR 不能预测危重病的预后。CRP、PCT、LAC 和 APACHE II 评分等传统标志物的 AUROCs 更有效地预测 28 天和 7 天死亡率。
NLCR 在评估严重程度和预测危重病结局方面不如 CRP、PCT、LAC 和 APACHE II 评分等传统标志物可靠。