The impact of hematological parameters on survival for patients with COVID-19

Abstract

Introduction : Coronavirus disease 2019 is viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Clinical and laboratory predictors may identification of patients at risk of mortality and guide treatment. Patients and methods: This retrospective study was conducted on 101 patients diagnosed with COVID-19. Demographic characteristics, parameters including complete blood count (CBC) parameters, biochemical tests, coagulation parameters , duration of hospitalization and final status (discharge or death) were recorded. The aim of this study is analyze laboratory parameters in COVID-19 patients and to determine which parameters affect mortality and hospitalization. Results: The 101 patients included in the analysis comprised 52 (51.5%) males and 49 (48.5%) females with a mean age of 65.7±14.7 years. Comparisons were made of survivors and non-survivors at the end of follow up period. Multivariate analysis showed mean platelet volume (MPV), platelet distribution width (PDW) and lactate dehydrogenase (LDH) to be significant predictors of mortality. The cut-off value of the hospitalization period was found to be 10 days, so patients were divided into two groups. In the univariate and multivariate models, no significant independent parameter was observed for the prediction of hospitalization duration. Conclusion: The results of the current study demonstrated that MPV, PDW and LDH were significant independent variables for the prediction of mortality. As SARS-CoV -2and SARS-CoV are known to use the same receptor, there may be similar structure and receptor for mutant variants and the first variant, so these predictive parameters can be considered to be as effective in mutant variants