Neutrophil to CD4+lymphocyte ratio as a potential biomarker in predicting virus negative conversion time in COVID-19
Neutrophil to CD4+lymphocyte ratio as a potential biomarker in predicting virus negative conversion time in COVID-19
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DOI：
10.1016/j.intimp.2020.106683
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发表时间：
2020-08-01
影响因子：
5.6
通讯作者：
Zhao, Qiu
中科院分区：
文献类型：
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作者：
Wang, Haizhou;Zhang, Yongxi;Zhao, Qiu
背景：2019年12月以来，新型冠状病毒（SARS-CoV-2）感染的肺炎（COVID-19）在武汉发生，并迅速在全国蔓延。本研究旨在评价中性粒细胞/CD 4+淋巴细胞比值（NCD 4LR）预测SARS冠状病毒2型（SARS-CoV-2）阴转时间（NCT）的可靠性。结果：与低NCD 4LR患者相比，高NCD 4LR患者年龄较大，发热、乏力、胸闷/气促发生率较高，入院时病情评估较重，炎症指标水平较高，淋巴细胞亚群水平较低，NCT较长。多变量分析也将NCD 4LR确定为延迟NCT的独立风险因素。ROC曲线分析显示，NCD 4LR在预测2周内病毒阴转方面优于中性粒细胞/淋巴细胞比值（AUC = 0.772），3周（AUC = 0.710），4周（AUC = 0.728）或5周结论：NCD 4LR是一种潜在的、有用的生物标志物，可用于预测COVID-19患者病毒阴转时间。此外，由于NCDLR值易于计算，因此可广泛用作COVID-19患者疾病进展和临床结局的临床生物标志物。
Background: Since December 2019, novel coronavirus (SARS-CoV-2)-infected pneumonia (COVID-19) occurred in Wuhan, and rapidly spread throughout China. Our study aimed to evaluate the robustness of neutrophil to CD4+ lymphocyte ratio (NCD4LR) in predicting the negative conversion time (NCT) of SARS-CoV-2 in COVID-19 patients.Methods: Univariate and multivariate analysis were conducted to evaluate the independency of NCD4LR in predicting NCT. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to assess the diagnostic accuracy.Results: Compared with low NCD4LR patients, patients with high NCD4LR had an older age; higher incidence of fever, fatigue, chest distress/breath shortness, severer disease assessment on admission; higher levels of inflammatory indicators; low levels of lymphocyte subsets, and a longer NCT. Multivariate analysis also identified NCD4LR as an independent risk factor for delayed NCT. ROC analysis showed that NCD4LR had a better performance than neutrophil to lymphocyte ratio in predicting the virus negative conversion within 2 weeks (AUC = 0.772), 3 weeks (AUC = 0.710), 4 weeks (AUC = 0.728), or 5 weeks (AUC = 0.815).Conclusion: This study suggests that NCD4LR is a potential and useful biomarker for predicting the virus negative conversion time in COVID-19 patients. Furthermore, due to the NCDLR value is easily calculated, it can be widely used as a clinical biomarker for disease progression and clinical outcomes in COVID-19 patients.