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