The Impact of Hematological Parameters on Survival for Patients with COVID-19

Abstract

Purpose: Coronavirus disease 2019 is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Clinical and laboratory predictors may provide identification of patients at risk of mortality and guide treatment. This study aims to analyze laboratory parameters in COVID-19 patients and to determine which parameters affect mortality and hospitalization. Materials and Methods: Demographic characteristics, the parameters including complete blood count (CBC) parameters, bio-chemical tests, coagulation parameters, duration of hospitalization, and final status (discharge or death) were recorded in patients diagnosed with COVID-19. Results: This retrospective study was conducted with 101 patients diagnosed with COVID-19. 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 between survivors and non-survivors at the end of the follow-up period. Multiple analyses 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; therefore, the patients were divided into two groups. In the univariate and multiple 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-2 and SARS-CoV are known to use the same receptor, there may be similar structures and receptors for mutant variants and the first variant, so these predictive parameters can be considered effective in mutant variants.

Keywords

• lactate dehydrogenase
• mean platelet volume
• mortality
• platelet distribution width
• sars-cov-2