Evaluation of The Predictability of Platelet Mass Index for Short-Term Mortality in Patients with COVID 19: A Retrospective Cohort Study

OpenAlex İngilizce

Objective This study aimed to determine the predictability of platelet mass index (PMI) for short-term mortality in patients with COVID 19. Material and methods This retrospective, observational, cohort study included corrected COVID-19 patients. Demographics, clinical characteristics, biochemical and hematological parameters and the data of all-cause mortality within 30 days after admission were noted. The receiver operating characteristic curve analysis and odds ratio were performed to determine the discriminative ability of the scores. Results Of the 1564 patients, with mean of age of 44 ± 16 years included in the study. A total of 57 (3.6%) patients died within 30 days of emergency department presentation. There was a statistically significant difference between the survivor and non-survivor groups in terms of the platelet count, mean platelet volume (MPV) and PMI. According to the best Youden’s index, the cut-off value for the platelet count was determined as 146 (sensitivity: 91.8%, specificity: 87.2%), and the area under curve (AUC) value was 0.593 (95% confidence interval 56.7-61.9). According to the best Youden’s index, the cut-off value for the MPV was determined as 11 (sensitivity: 24.6%, specificity: 91%), and the AUC value was 0.579 (95% confidence interval 55.2-60.5). According to the best Youden’s index, the cut-off value for the PMI was determined as 1513 (sensitivity: 28.1%, specificity: 87.2%), and the AUC value was 0.555 (95% confidence interval 52.8-58.2). Conclusion Platelet count, MPV and PMI were not predictor of 30-day mortality in patients with confirmed COVID-19 in emergency department.