Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
PLoS One. 2020 Nov 2;15(11):e0241262. doi: 10.1371/journal.pone.0241262. eCollection 2020.
The coronavirus disease 2019 (COVID-19) has become a pandemic. Rapidly distinguishing COVID-19 from other respiratory infections is a challenge for first-line health care providers. This retrospective study was conducted at the Taipei Medical University Hospital, Taiwan. Patients who visited the outdoor epidemic prevention screening station for respiratory infection from February 19 to April 30, 2020, were evaluated for blood biomarkers to distinguish COVID-19 from other respiratory infections. Monocyte distribution width (MDW) ≥ 20 (odds ratio [OR]: 8.39, p = 0.0110, area under curve [AUC]: 0.703) and neutrophil-to-lymphocyte ratio (NLR) < 3.2 (OR: 4.23, p = 0.0494, AUC: 0.673) could independently distinguish COVID-19 from common upper respiratory tract infections (URIs). Combining MDW ≥ 20 and NLR < 3.2 was more efficient in identifying COVID-19 (AUC: 0.840). Moreover, MDW ≥ 20 and NLR > 5 effectively identified influenza infection (AUC: 0.7055). Thus, MDW and NLR can distinguish COVID-19 from influenza and URIs.
新型冠状病毒病 2019（COVID-19）已成为大流行疾病。对于一线医护人员来说，快速将 COVID-19 与其他呼吸道感染区分开来是一个挑战。本回顾性研究在台湾台北医学大学附属医院进行。2020 年 2 月 19 日至 4 月 30 日期间，在户外防疫筛查站因呼吸道感染就诊的患者评估了血液生物标志物，以区分 COVID-19 与其他呼吸道感染。单核细胞分布宽度（MDW）≥20（优势比[OR]：8.39，p = 0.0110，曲线下面积[AUC]：0.703）和中性粒细胞与淋巴细胞比值（NLR）<3.2（OR：4.23，p = 0.0494，AUC：0.673）可独立区分 COVID-19 与常见上呼吸道感染（URIs）。同时满足 MDW≥20 和 NLR<3.2 可更有效地识别 COVID-19（AUC：0.840）。此外，MDW≥20 和 NLR>5 可有效识别流感感染（AUC：0.7055）。因此，MDW 和 NLR 可区分 COVID-19 与流感和 URIs。
