Associations between hematological parameters and disease severity in patients with SARS‐CoV‐2 infection

• DOI: 10.1002/jcla.23604
• Publication Date: 2020-11-13T08:10:10Z
• Authors: Sha Lin; Weilin Mao; Qianda Zou; Siming Lu; Shufa Zheng
• Keywords: Univariate analysis; White blood cell; Monocyte; Mean platelet volume

Abstract Background The emergence and rapid spread of the deadly novel coronavirus disease caused by severe acute respiratory syndrome 2 (SARS‐CoV‐2) is a swiftly evolving public health crisis worldwide. SARS‐CoV‐2 infection characterized development progression inflammatory responses. Hematological parameters, such as white blood cells (WBCs) their subpopulations, red cell distribution width, platelet count, mean volume, plateletcrit, derived markers neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte (PLR), lymphocyte‐to‐monocyte ratio, are established biomarkers We aimed to investigate associations between hematological parameters severity in patients with infection. Methods retrospectively analyzed data from 68 confirmed Twenty‐two had mild illness, 46 moderate or illness at time admission. Univariate multivariate regression analyses were used identify correlates severity. areas under receiver operating characteristic curves calculated estimate compare predictive values different diagnostic markers. Results Mean lymphocyte monocyte counts lower while WBC counts, neutrophil NLR, PLR higher compared those (all P < .01). analysis revealed that older age, high PLR, low independent illness. Multivariate identified NLR only correlate Receiver curve showed highest area all parameters. Conclusion Among superior prediction Thus, could be valuable parameter complement conventional measures for identification risk disease.