Study on the Baseline Factors and Platelet Indices That Predict Outcome of Acute Ischemic Stroke Patients after Thrombolytic Therapy

Abstract Background: The aim of the study was to investigate the baseline characters that influence 3-month clinical outcomes in patients with acute ischemic stroke (AIS) after thrombolytic therapy. Methods: We consecutively enrolled 241 AIS patients who are treated with thrombolytic therapy with recombinant tissue plasminogen activator. Baseline characters were measured on admission including the National Institutes of Health Stroke Scale (NIHSS), Trial of Org 10172 in Acute Stroke Treatment (TOAST), risk factors, platelet indices, and lipid parameters. The subjects were divided into good or poor functional outcomes based on modified Rankin Scale at 3 months. The multivariate logistic regression was performed to explore the association between baseline factors and outcomes. Pearson correlation was used to investigate whether linear associations existed between platelet indices in different outcomes. Results: Multivariate logistic regression analysis showed that the NIHSS, TOAST classification, diabetes, mean platelet volume (MPV) are important factors for predicting clinical outcomes after 3 months in AIS patients. We found a correlation between elevated MPV and worse outcome at 3 months, particularly in large-artery atherosclerosis stroke patients. MPV and platelet count are negative correlated (r = −0.375, p = 0.000). MPV and platelet-to-lymphocyte ratio (PLR) (r = 0.83, p = 0.000), MPV and platelet distribution width (PDW) (r = 0.820, p = 0.000) both have highly positive linear correlations in patients with good outcome. Conclusions: Overall, lower NIHSS and MPV levels on admission were predictors of good functional outcomes in patients with AIS after undergoing thrombolytic therapy. The correlations between MPV, PDW, and PLR may be helpful to evaluate prognosis in stroke patients and deserve further exploration.