Hemogram as marker of in-hospital mortality in COVID-19

• Published in: Journal of investigative medicine Vol. 69; no. 5; pp. 962 - 969
• Main Authors: López-Escobar, Alejandro, Madurga, Rodrigo, Castellano, José María, Ruiz de Aguiar, Santiago, Velázquez, Sara, Bucar, Marina, Jimeno, Sara, Ventura, Paula Sol
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01-06-2021; Sage Publications Ltd; BMJ Publishing Group
• Subjects: Blood; Blood platelets; Cardiovascular disease; Clinical outcomes; Coronaviruses; COVID-19; Creatinine; Cytokines; Diabetes; Emergency medical care; Hospitalization; Hospitals; Inflammation; Laboratories; Lymphocytes; Mortality; Neutrophils; Original Research; Oxygen saturation; Pandemics; Pathophysiology; Severe acute respiratory syndrome coronavirus 2; COVID-19; critical care; blood platelets; neutrophils
• ISSN: 1081-5589; 1708-8267
• DOI: 10.1136/jim-2021-001810

The clinical impact of COVID-19 disease calls for the identification of routine variables to identify patients at increased risk of death. Current understanding of moderate-to-severe COVID-19 pathophysiology points toward an underlying cytokine release driving a hyperinflammatory and procoagulant state. In this scenario, white blood cells and platelets play a direct role as effectors of such inflammation and thrombotic response. We investigate whether hemogram-derived ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and the systemic immune-inflammation index may help to identify patients at risk of fatal outcomes. Activated platelets and neutrophils may be playing a decisive role during the thromboinflammatory phase of COVID-19 so, in addition, we introduce and validate a novel marker, the neutrophil-to-platelet ratio (NPR).Two thousand and eighty-eight hospitalized patients with COVID-19 admitted at any of the hospitals of HM Hospitales group in Spain, from March 1 to June 10, 2020, were categorized according to the primary outcome of in-hospital death.Baseline values, as well as the rate of increase of the four ratios analyzed were significantly higher at hospital admission in patients who died than in those who were discharged (p<0.0001). In multivariable logistic regression models, NLR (OR 1.05; 95% CI 1.02 to 1.08, p=0.00035) and NPR (OR 1.23; 95% CI 1.12 to 1.36, p<0.0001) were significantly and independently associated with in-hospital mortality.According to our results, hemogram-derived ratios obtained at hospital admission, as well as the rate of change during hospitalization, may easily detect, primarily using NLR and the novel NPR, patients with COVID-19 at high risk of in-hospital mortality.