Construction of a Framingham risk score tool for prognosis after mechanical thrombectomy in patients with acute ischemic stroke based on logistic regression model
10.3969/j.issn.1002-1671.2025.05.004
- VernacularTitle:基于logistic回归模型构建急性缺血性卒中机械取栓术预后的Framingham风险评分工具
- Author:
Shuyan JING
1
;
Ruihong HOU
;
Jiakai ZHANG
;
Wenyun TAN
Author Information
1. 河北医科大学第一医院放射与核医学科,河北 石家庄 050031
- Publication Type:Journal Article
- Keywords:
Framingham risk score;
acute ischemic stroke;
mechanical thrombectomy;
computed tomography
- From:
Journal of Practical Radiology
2025;41(5):737-741
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a Framingham risk score(FRS)tool for predicting poor prognosis after mechanical thrombec-tomy(MT)in patients with middle cerebral artery(MCA)acute ischemic stroke(AIS)based on logistic regression model.Methods A retrospective analysis was conducted on the imaging and clinical data of 126 patients with MCA-AIS.Categorical data were com-pared between groups using the chi-square test or continuity-corrected chi-square test,while normally distributed continuous data were analyzed using the independent samples t-test.Multivariate logistic regression analysis was used to screen the risk factors for poor prognosis after MT in patients with MCA-AIS.The Framingham risk assessment model was used to establish a FRS tool for poor prognosis after MT in patients with MCA-AIS.Results The independent risk factors for poor prognosis after MT in patients with MCA-AIS were the Alberta stroke program early CT score(ASPECTS)before the operation,the baseline National Institute of Health Stroke Scale(NIHSS)score,and the time from femoral artery puncture to recanalization.The FRS tool ranges from-7 to 12 points,with a risk prediction rate of 0.044 7 to 0.970 1.Conclusion The FRS tool can calculate the risk probability of poor prognosis sim-ply and quickly,and has high predictive value for the prognosis after MT in MCA-AIS patients.
