Predictive value of circulating miR-143 and miR-182 for the outcome in patients with acute ischemic stroke
10.3760/cma.j.issn.1673-4165.2021.03.005
- VernacularTitle:循环miR-143和miR-182预测急性缺血性卒中患者转归的价值
- Author:
Chunxuan GUO
;
Chunzheng ZHONG
;
Qi LI
;
Yuanjie GAO
;
Wenbin LI
;
Yidan OU
- From:
International Journal of Cerebrovascular Diseases
2021;29(3):184-188
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of circulating miR-143 and miR-182 for the short-term clinical outcomes in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to Danzhou People's Hospital from January 2018 to June 2020 were included prospectively. The modified Rankin Scale was used to evaluate the short-term clinical outcome at 14 d after onset or at discharge. 0-2 was defined as good outcome, and >2 was defined as poor outcome. Multivariate logistic regression analysis was used to identify the independent risk factors for poor short-term clinical outcomes in patients with AIS. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of miR-143 and miR-182 for the short-term clinical outcomes in patients with AIS. Results:A total of 158 patients with AIS, aged 65.80±12.36 years, were enrolled, including 105 males (66.46%), 95 patients with good outcome (60.1%) and 63 with poor outcome (39.9%). The age, total cholesterol, triglyceride, low-density lipoprotein cholesterol, baseline National Institutes of Health Stroke Scale (NIHSS) score, serum miR-143 and miR-182 level in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.984, 95% confidence interval [ CI] 1.315-3.617; P=0.036), low-density lipoprotein cholesterol ( OR 2.108, 95% CI 1.406-4.103; P=0.013), baseline NIHSS score ( OR 2.584, 95% CI 1.675-4.505; P=0.005), miR-143 ( OR 3.205, 95% CI 2.370-6.180; P<0.001) and miR-182 ( OR 2.802, 95% CI 1.905-5.516; P<0.001) were the independent risk factors for poor outcomes in patients with AIS. ROC curve analysis showed that the combined area under the curve of miR-143 and miR-182 to predict the poor outcome in patients with AIS was 0.935 (95% CI 0.873-0.992), the sensitivity and specificity were 96.5% and 87.0% respectively. Conclusions:The increase of serum miR-143 and miR-182 was closely associated with the poor short-term outcomes in patients with AIS. The combination of the two has a good predictive value for the poor short-term outcomes in patients with AIS.
