Characteristics of the platelet profile as a predictor of 30-day clinical outcome in ischemic stroke patients

Objective. Investigate the relationship between platelet profiles, in this case PDW and MPV at hospital admission, which can be predictors of clinical outcome 30 days after ischemic stroke. Methods. This research is an analytic study with a retrospective cohort method. Secondary data in the form of medical records at the neuro polyclinic of Bethesda Hospital Yogyakarta in 2019 - 2020. The number of subjects was 74, grouped as good outcome (mRS 0-2) and poor outcome (mRS 3-6). Data analysis used was t-test, Pearson’s test, Fisher’s test, ROC, and multivariable logistic regression model. Results. In this study, both PDW (p = 0.982) and MPV (p = 0.174) were not significantly associated (p > 0.05) with poor outcomes on the chi-square test. ROC curve analysis showed that the PDW cutoff value was >11.1 fl [(Area Under Curve (AUC) ROC was 0.638, with 95% CI = 0.518-0.746, and p-value 0.835)] and the MPV cutoff value was ≤9,8 fl [(Area Under Curve (AUC) ROC was 0.521, with 95% CI = 0.402-0.639, and p-value 0.137)] which was also not statistically significant (p > 0.05). From these results, multivariable logistic regression analysis was performed which found that MPV ≤9,8 fl was associated with a small 30-day clinical outcome [(Odds Ratio (OR) = 0.110, 95% CI = 0.013-0.953, p = 0.007)]. While PDW >11.1 fl did not have a significant relationship after regression analysis was carried out where p > 0.05 was obtained. Conclusion. Increased PDW and MPV values at hospital admission did not increase the risk of 30-day disability in ischemic stroke patients.