Eosinophil-to-neutrophil ratio predicts outcomes in patients with acute ischemic stroke receiving intravenous thrombolysis
10.3760/cma.j.issn.1673-4165.2023.05.002
- VernacularTitle:嗜酸性粒细胞与中性粒细胞比值预测接受静脉溶栓的急性缺血性卒中患者转归
- Author:
Jie GAO
1
;
Bo SUN
;
Weidong ZHAO
;
Xiangyuan CHEN
;
Xiangyang TIAN
Author Information
1. 南京医科大学附属淮安第一医院神经内科，淮安 223001
- Keywords:
Ischemic stroke;
Thrombolytic therapy;
Eosinophils;
Neutrophils;
Treatment outcomes;
Risk factors;
Predictive value of tests
- From:
International Journal of Cerebrovascular Diseases
2023;31(5):327-331
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predicting value of eosinophil-to-neutrophil ratio (ENR) for outcomes at 3 months after intravenous thrombolysis in patients with acute ischemic stroke (AIS).Methods:Patients with AIS received intravenous thrombolysis in the Department of Neurology, Huai'an First People's Hospital from July 2019 to July 2022 were included retrospectively. Multivariate logistic regression model was used to determine the independent correlation between ENR and outcomes at 3 months after intravenous thrombolysis. The receiver operating characteristics (ROC) curve was used to evaluate the predictive value of ENR levels for poor outcomes at 3 months after intravenous thrombolysis. Results:A total of 352 patients with AIS receiving intravenous thrombolysis were enrolled, including 240 men (68.1%), age 66.46±12.00 years old. The median National Institutes of Health Stroke Scale score was 8 (interquartile range, 5-13). At 3 months after onset, 215 patients (61.0%) had good outcomes, 137 (38.9%) had poor outcomes. Univariate analysis showed that the median ENR×10 2 level of the poor outcome group was significantly lower than that of the good outcome group ( Z= –7.305, P<0.01). Multivariate logistic regression analysis showed that lower ENR×10 2 was an independent risk factor for poor outcomes at 3 months after intravenous thrombolysis (odds ratio 0.619, 95% confidence interval 0.514-0.745; P<0.01). ROC curve analysis showed that the area under the curve for ENR×10 2 predicting the poor outcomes after intravenous thrombolysis was 0.731 (95% confidence interval 0.678-0.784; P<0.01). The optimal cutoff value was 0.625 and the corresponding sensitivity and specificity were 94% and 40%, respectively. Conclusion:Lower ENR before intravenous thrombolysis in patients with AIS is independently associated with the poor outcomes at 3 months.
