RÉSUMÉ
Objective@#This study evaluated the clinical usefulness of mean platelet volume (MPV) for predicting functional outcomes in subarachnoid hemorrhage (SAH) patients. @*Methods@#This is a retrospective analysis of patients who were diagnosed with SAH in the emergency room. Based on their modified Rankin Scale (mRS) score, patients were divided into two groups: 0-2 (good outcome) and 3-6 (poor outcome). Univariable and multivariable analyses were performed to investigate whether MPV, along with other multiple factors, was associated with poor prognosis. Receiver operating characteristic (ROC) curve analysis was performed to determine the value of MPV as a predicting factor of neurological prognosis. Compared to other factors, Hunt Hess grade (HHG) and modified Fisher grade (mFG) considerably influenced the outcomes in both groups (Model 1; model including all factors). Hence, a new model (Model 2) was constructed, comprising multiple factors excluding these two factors. @*Results@#A total of 143 patients were included in this study. Although MPV was different between the two groups, it was not a significant factor in Model 1 in the multivariable analysis. In Model 2, MPV (odds ration [OR], 1.71; 95% confidence interval [CI], 1.05-2.8), age (OR, 1.06; 95% CI, 1.03-1.1), and surgical treatment (OR, 0.37; 95% CI, 0.15-0.87) were significant factors related to poor outcomes. Area under the curve (AUC) of Model 1 was 0.93, 0.85 in HHG; 0.78 in Model 2, 0.65 in mFG, and 0.62 in MPV. @*Conclusion@#Although MPV differed significantly between the good and poor outcome groups, it is insufficient to predict poor outcomes in SAH patients as an independent biomarker.