Ma Yan, Zhu Dongshan, Shi Nannan, Zhang Lei, Chen Guangkun, Ge Youwen, Zhang Zelei, Chen Renbo, Liu Sihong, Fan Yipin, Zhang Huamin, Wang Yanping
Department of Infectious Disease Prevention, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, China.
China CDC Wkly. 2022 Mar 11;4(10):195-198. doi: 10.46234/ccdcw2022.047.
WHAT IS ALREADY KNOWN ABOUT THIS TOPIC?: Coronavirus disease 2019 (COVID-19) causes symptoms ranging from mild to severe. Indicators for identifying severe COVID-19 infection have not been well identified, especially for young patients.
WHAT IS ADDED BY THIS REPORT?: Both neutrophil-lymphocyte ratio (NLR) [area under curve (AUC): 0.80; the odds ratios (OR) and 95% confidence intervals (95% CI): 1.30 (1.13-1.50)] and platelet-lymphocyte ratio (PLR) [AUC: 0.87; OR (95% CI): 1.05 (1.01-1.09)] were determined to be indicators for recognition of patients with severe COVID-19 in young patients less than age 40.
WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE?: NLR and PLR are useful indicators for identifying patients with severe COVID-19, especially in young patients less than age 40.
2019年冠状病毒病（COVID-19）的症状从轻症到重症不等。识别重症COVID-19感染的指标尚未得到很好的确定，尤其是对于年轻患者。
中性粒细胞与淋巴细胞比值（NLR）[曲线下面积（AUC）：0.80；比值比（OR）和95%置信区间（95%CI）：1.30（1.13 - 1.50）]和血小板与淋巴细胞比值（PLR）[AUC：0.87；OR（95%CI）：1.05（1.01 - 1.09）]被确定为40岁以下年轻患者中识别重症COVID-19患者的指标。
NLR和PLR是识别重症COVID-19患者的有用指标，尤其是在40岁以下的年轻患者中。
