Eosinophils predict short-term outcomes in patients with acute ischemic stroke
10.3760/cma.j.issn.1673-4165.2021.02.003
- VernacularTitle:嗜酸性粒细胞预测急性缺血性卒中患者短期转归
- Author:
Meng'en ZHANG
;
Zongyou LI
;
Jinghong LU
;
Hui XU
;
Hui CAI
;
Mingfeng ZHAI
- From:
International Journal of Cerebrovascular Diseases
2021;29(2):95-99
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between eosinophil count and short-term outcomes of patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke treated in Fuyang People's Hospital from June 2017 to June 2019 were enrolled retrospectively. The demographic and baseline clinical data were collected. The modified Rankin Scale was used to evaluate the short-term clinical outcome at the time of discharge or 14 d after onset. 0-2 was defined as good outcome, and >2 was defined as poor outcome. Multivariate logistic regression analysis was used to determine the independent influencing factors of poor short-term outcome. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of eosinophil count for poor short-term outcome. Results:A total of 300 patients with acute ischemic stroke were enrolled, including 187 males (62.3%) and 113 females (37.7%); their age was 63.62±12.14 years; baseline National Institutes of Health Stroke Scale (NIHSS) score was 5.48±4.85. Two hundred and twenty-eight patients (76.0%) had a good outcome and 72 (24.0%) had a poor outcome. Univariate analysis showed that age, hypertension, baseline NIHSS score, C-reactive protein, atrial fibrillation, and neutrophil count of the poor outcome group were significantly higher than those of the good outcome group, while male, smoking, eosinophil count and percentage of eosinophils were significantly lower than those of the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that baseline NIHSS score (odds ratio [ OR] 1.726, 95% confidence interval [ CI] 1.400-2.128; P<0.001), hypertension ( OR 3.744, 95% CI 1.227-11.426; P=0.020) and eosinophil count ( OR 0.287, 95% CI 0.102-0.616; P=0.043) were the independent influencing factors for the poor short-term outcome. ROC curve analysis showed that the area under the curve of eosinophil count for predicting the poor short-term outcome was 0.717 (95% CI 0.642-0.792), the best cutoff value was 0.075×10 9/L, and its sensitivity and specificity for predicting the poor short-term outcome were 88.6% and 51.4% respectively. Conclusion:The decreased eosinophil count had a certain predictive value for the poor short-term clinical outcome of patients with acute ischemic stroke.
