Xia Xintian, Wen Minyong, Zhan Shaofeng, He Jing, Chen Weitao
First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2020 Mar 30;40(3):333-336. doi: 10.12122/j.issn.1673-4254.2020.03.06.
To identify the biomarkers as early warning signals for severe COVID-19.
We retrospectively analyzed the clinical data of 63 patients with COVID- 19 from Hubei Provincial Hospital of Integrated Chinese and Western Medicine, including 32 moderate cases and 31 severe cases. The demographic data, underlying diseases, clinical manifestations and laboratory test results were compared between the two groups. Logistic regression analysis was performed to identify the factors that predicted the severity of COVID-19. The receiver- operating characteristic curve (ROC) of neutrophil/lymphocyte ratio (NLR) was calculated, and the area under the curve (AUC) was determined to estimate the optimal threshold of NLR for predicting severe cases of COVID-19.
The patients with moderate and server COVID-19 showed significant differences in the rate of diabetes, NLR, serum amyloid A (SSA), C-reactive protein (CRP) and serum albumin (ALB) levels ( < 0.05). The co- morbidity of diabetes, NLR, SSA and CRP were found to positively correlate and ALB to inversely correlate with the severity of COVID-19 ( < 0.05). Multivariate logistic regression analysis showed that NLR was an independent risk factor for severe COVID-19 (OR=1.264, 95% : 1.046-1.526, =0.015) with an AUC of 0.831 (95% : 0.730-0.932), an optimal diagnostic threshold of 4.795, a sensitivity of 0.839, and a specificity of 0.750.
An increased NLR can serve as an early warning signal of severe COVID-19.
确定可作为重症新型冠状病毒肺炎(COVID-19)预警信号的生物标志物。
我们回顾性分析了湖北省中西医结合医院63例COVID-19患者的临床资料,其中包括32例中型病例和31例重型病例。比较了两组患者的人口统计学数据、基础疾病、临床表现及实验室检查结果。进行Logistic回归分析以确定预测COVID-19严重程度的因素。计算中性粒细胞/淋巴细胞比值(NLR)的受试者工作特征曲线(ROC),并确定曲线下面积(AUC)以估计NLR预测COVID-19重症病例的最佳阈值。
中型和重型COVID-19患者在糖尿病发生率、NLR、血清淀粉样蛋白A(SAA)、C反应蛋白(CRP)及血清白蛋白(ALB)水平方面存在显著差异(P<0.05)。发现糖尿病合并症、NLR、SAA和CRP与COVID-19严重程度呈正相关,而ALB与之呈负相关(P<0.05)。多因素Logistic回归分析显示,NLR是COVID-19重症的独立危险因素(OR=1.264,95%CI:1.046-1.526,P=0.015),AUC为0.831(95%CI:0.730-0.932),最佳诊断阈值为4.795,灵敏度为0.839,特异度为0.750。
NLR升高可作为重症COVID-19的预警信号。