Platelet-to-neutrophil ratio predicts the outcomes after intravenous thrombolysis in patients with acute ischemic stroke
10.3760/cma.j.issn.1673-4165.2022.03.002
- VernacularTitle:血小板与中性粒细胞比值预测急性缺血性卒中患者静脉溶栓后转归
- Author:
Yurong TIAN
1
;
Qiuwan LIU
;
Fang HUANG
;
Liuzhenxiong YU
;
Kangrui ZHANG
;
Ruorui YANG
;
Juncang WU
Author Information
1. 安徽医科大学附属合肥医院（合肥市第二人民医院）神经内科 合肥 230011
- Keywords:
Stroke;
Brain ischemia;
Thrombolytic therapy;
Blood platelets;
Neutrophils;
Treatment outcome
- From:
International Journal of Cerebrovascular Diseases
2022;30(3):167-173
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of platelet-to-neutrophil ratio (PNR) on hemorrhagic transformation (HT) and poor outcomes at 90 d after intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS).Methods:Patients with AIS received IVT in Hefei Second People's Hospital from July 2019 to June 2021 were retrospectively enrolled. HT was defined as intracerebral hemorrhage found by CT reexamination within 24 h after IVT, and the poor outcome was defined as the modified Rankin Scale score ≥3 at 90 d after onset. Multivariate logistic regression analysis was used to determine the independent predictors of HT and poor outcomes at 90 d, and the predictive value of PNR on HT and poor outcomes at 90 d was analyzed by receiver operating characteristic (ROC) curve. Results:A total of 202 patients with AIS treated with IVT were included, of which 32 had HT and 50 had poor outcomes at 90 d after onset. Multivariate logistic regression analysis showed that PNR at 24 h after IVT was significantly and independently negatively correlated with the poor outcomes (odds ratio [ OR] 0.959, 95% confidence interval [ CI] 0.928-0.991; P=0.012); PNR at admission ( OR 0.886, 95% CI 0.827-0.948; P<0.001) and PNR at 24 h after IVT ( OR 0.923, 95% CI 0.879-0.969; P=0.001) were significantly independently and negatively correlated with HT. ROC curve analysis showed that the area under the curve of PNR at 24 h after IVT for predicting poor outcomes was 0.733 (95% CI 0.659-0.807; P=0.012), the best cutoff value was 35.03, and the predictive sensitivity and specificity were 70.4% and 74%, respectively. The area under the curve of PNR at admission for predicting HT was 0.830 (95% CI 0.774-0.886; P<0.001), the best cutoff value was 34.81, and the predictive sensitivity and specificity were 70% and 93.7%, respectively. The area under the curve of PNR at 24 h after IVT for predicting HT was 0.770 (95% CI 0.702-0.839; P=0.001), the best cutoff value was 41.73, and the predictive sensitivity and specificity were 53.5% and 96.9%, respectively. Conclusion:For patients with AIS treated with IVT, lower PNR at 24 h after IVT is an independent predictor of the poor outcomes at 90 d, while PNR at admission and 24 h after IVT are the independent predictors of HT.
