Is Mean Platelet Volume a Useful Predictor of Hospital Mortality in Covid-19 Patients?

Abdollah Poorjafari; Mehdi Torabi; Moghaddameh Mirzaee

doi:10.18502/jimc.v6i3.12866

Abdollah Poorjafari Department of Emergency Medicine, Kerman University of Medical Sciences, Kerman, Iran
Mehdi Torabi Department of Emergency Medicine, Kerman University of Medical Sciences, Kerman, Iran
Moghaddameh Mirzaee Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

DOI: https://doi.org/10.18502/jimc.v6i3.12866

Keywords: Covid-19, In-hospital mortality, Mean platelet volume, Patient outcome

Abstract

Background: Elevated Mean Platelet Volume (MPV) can indicate the activation of platelets and the coagulation cascade, which has been suggested as a predictor of mortality in some diseases. The aim of this study was to investigate the role of MPV in predicting hospital mortality in patients with Covid-19.

Methods: This was a cross-sectional single-center retrospective study. The data of all patients with a PCR-confirmed diagnosis of Covid-19 hospitalized within a 3-month period were analyzed. The patients’ files were reviewed, and the data were recorded into a checklist, including demographic characteristics, underlying diseases, and laboratory test results. Hospital mortality was designated as the main outcome of the study.

Results: A total of 201 Covid-19 patients, confirmed by PCR, were included in this study. In-hospital mortality was observed in 28 patients (13.9%). The results of univariate regression analysis revealed that the triage level, history of chronic pulmonary disease, age, oxygen saturation, lymphocyte count, BUN, Cr, and CRP were significantly related to in-hospital mortality. However, MPV showed no significant relationship with in-hospital mortality.

Conclusion: Low triage level, advanced age and hypoxia predicted a higher risk of in-hospital mortality in Covid-19 patients. The role of MPV as a predictor of patient outcome in Covid-19 remains inconclusive, necessitating further studies with larger sample sizes.