Platelet reactivity predicts early neurological deterioration in patients with acute ischemic stroke / 国际脑血管病杂志

ABSTRACT

Objective:To investigate the predictive value of platelet reactivity for early neurological deterioration (END) in patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke within 48 h of onset admitted to the Department of Neurology, the Affiliated Haikou Hospital of Xiangya School of Medicine, Central South University from January 2017 to March 2019 were enrolled prospectively. Aspirin was taken on the day of admission, and the platelet aggregation rate was detected using a PL-11 Platelet Function Analyzer 7 d after taking it. END was defined as the National Institutes of Health Stroke Scale (NHISS) score at any time point within 7 d after admission increased by ≥2 or the motor function item score increased by ≥1 from baseline. The demographics, baseline data, imaging examination and laboratory findings of patients in the END and non-END groups were compared. Multivariate logistic regression analysis was used to determine the independent risk factors for END. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of platelet aggregation rate for END. Results:A total of 230 patients were included in the study. They aged 63.24±9.75 years, 126 were females (51.4%). The median baseline NIHSS score was 6 (interquartile range, 4-10). The median time from onset to admission was 15 h (interquartile range, 9-28 h). There were 54 patients (23.5%) in the END group and 176 (76.5%) in the non-END group. There were significant differences in arachidonic acid-induced maximum platelet aggregation ratio (MAR-AA), epinephrine-induced maximum platelet aggregation ratio (MAR-EPI) and collagen-induced maximum platelet aggregation ratio (MAR-COL) between the END group and the non-END group (all P<0.05). Multivariate logistic regression analysis showed that MAR-AA (odd ratio [ OR] 1.165, 95% confidence interval [ CI] 1.091-1.243; P<0.001) and MAR-EPI ( OR 1.035, 95% CI 1.006-1.067; P=0.023) were the independent risk factors for END in patients with acute ischemic stroke. ROC curve analysis showed that MAR-AA had good predictive value for END, and the area under the curve was 0.775 (95% CI 0.707-0.843; P<0.001). The optimal cut-off value was 21.80%. The sensitivity and specificity of MAR-AA for predicting END were 72.2% and 77.3%, respectively. Conclusions:The platelet function measured by PL-11 is closely related to the risk of END in patients with acute ischemic stroke. It has a better predictive value for END.