Evaluation of the relation between disease severity with platelet distribution width, platelet large cell ratio, mean platelet volume and red cell distribution width in severe and critically ill hospitalized patients with coronavirus disease 2019

Abstract

Introduction: Hematological parameters are raised for classification and determining of prognosis in coronavirus disease 2019 (COVID-19). Objectives: The aim of this study is to determine the relation between severity of the illness and serum level of red cell distribution width (RDW), mean platelet volume (MPV), platelet distribution width (PDW) and platelet large cell ratio (P-LCR) in patients with COVID-19 focusing on severe and critically ill patients. Patients and Methods: In this cross-sectional investigation, we examined the correlation between severity of disease and value of RDW, PDW, P-LCR and MPV in hospitalized patients with COVID-19 in Velayat hospital, located in Qazvin province in Iran from November 2020 to March 2021. According to the clinical characteristics, the patients were divided into two group of severe and critically ill. Patients’ data including age, gender, and the value of RDW, PDW, P-LCR and MPV were extracted from the health information system of our hospital. Then, these parameters were analyzed and compared among the groups. Results: The data of 59 patients were evaluated. The mean age of patients was 62.07 years and 59.3% of these patients were female. Around 64.4 percent of the patients were critically ill. The median the value of RDW in the critically ill group was significantly higher than the severe group (P = 0.009). The value of RDW had a significant positive correlation with the severity of the disease (correlation coefficient: 0.341, P = 0.008). Conclusion: Our data showed that RDW might be helpful to differentiate the critically ill patient with COVID-19 from severe one.

COVID-19 and red cell distribution width

“…About 64.4% of the individuals were significantly sick. They demonstrated that red cell distribution width could be useful to discriminate the significantly sick cases with COVID-19 from severe one (1). Regarding this study, we intended to explain some points.…”