Machine-learning algorithm-based construction of a risk prediction model for pulmonary infection in stroke patients after mechanical thrombectomy
10.3969/j.issn.1008-794X.2025.06.003
- VernacularTitle:基于机器学习算法构建脑卒中患者机械取栓术后肺部感染风险预测模型
- Author:
Xiaojiao YIN
1
;
Jianxiang WANG
;
Yun GAO
Author Information
1. 650000 云南昆明 昆明市第一人民医院(昆明医科大学附属甘美医院)
- Keywords:
endovascular treatment;
stroke;
pneumonia;
machine-learning
- From:
Journal of Interventional Radiology
2025;34(6):574-578
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the risk factors for pulmonary infection in patients with acute ischemic stroke after receiving mechanical thrombectomy and to construct a risk prediction model based on machine-learning algorithm technology.Methods A total of 315 patients with acute ischemic stroke,who received mechanical thrombectomy at the Kunming Yan'an Hospital and Kunming Municipal First People's Hospital,were enrolled in this study.The 315 patients who were admitted to the hospital between January 2019 and December 2023 were collected as the modeling group,and other 73 patients who were admitted to the hospital between January 2024 and September 2024 were collected as the validation group.The demographic materials and the clinical diagnosis and treatment data were collected within 24 h after admission,and the risk factors for pulmonary infection after mechanical thrombectomy were analyzed.A total of seven machine learning algorithms were employed to establish a predictive model for pulmonary infection in patients with large-vessel occlusive stroke after receiving mechanical thrombectomy.Based on the accuracy,recall,precision,F1 index,and area under the receiver operating characteristic curve(AUC),the performance of model was evaluated.Results The comprehensive performance in accuracy,recall,precision,F1 index and AUC of the gradient boosting classifier in both the modeling group and the validation group are all excellent.Conclusion The risk prediction model constructed on the basis of machine-learning algorithm technology can early identify lung infection and discover the risk factors in patients with acute ischemic stroke after receiving mechanical thrombectomy,therefore,the prevention and control measures can be promptly taken,the incidence of lung infection can be effectively decreased.
