The relation between mean platelet volume and platelet distribution width to COVID-19 severity

Abstract

Background: Wide spectrum of clinical manifestation and severity of COVID-19 led to further studies to find a simple biomarker used to predict the severity of COVID-19. We investigated the role of mean platelet volume (MPV) and platelet distribution width (PDW), widely available parameters, as predictor of COVID-19 severity.Methods: We conducted a single center analytic observational study to evaluate the relationship between MPV and PDW values and COVID-19 severities. A total of 123 subjects of COVID-19 within October to December 2020 included in the analysis.Results: Analysis showed a statistically significant difference in MPV, PDW, and D-dimer between COVID-19 severities (p<0.001, p=0.002, and p<0.001). Correlation coefficient between MPV, PDW, and D-dimer with COVID-19 severity were 0.28 (p=0.002); 0.22 (p<0.001), and 0.81 (p<0.001), but there’s no correlation between MPV (p=0.176) and PDW (p=0.383) with D-dimer. The AUC value of the ROC curve of MPV, PDW and D-dimer in predicting severity was 79% (p=0.001, 95% CI: 0.696-0.885), 72.5% (p<0.001, 95% CI: 0.598-0.852), and 97% (p<0.001, 95% CI: 0.937-1.00).Conclusions: This study found a relationship between MPV and PDW values on the severity of COVID-19. There’s no relationship of MPV and PDW to D-dimer concentration.