四川大学学报(医学版)2026,Vol.57Issue(2):400-410,11.DOI:10.12182/20260360604
脑卒中患者医院感染的病原菌分布特征及危险因素分析
Pathogen Profile and Risk Factors for Hospital-Acquired Infection in Stroke Patients
摘要
Abstract
Objective To investigate the risk factors for hospital-acquired infection in patients with stroke and to analyze the distribution of pathogens and characteristics of infection sites.Methods A retrospective cohort study was conducted,enrolling 393 patients with stroke hospitalized at Beijing Tiantan Hospital,Capital Medical University,from January 2024 to July 2025.Among them,184 patients were assigned to the infection group and 209 to the non-infection group.Multivariable logistic regression analysis was used to identify risk factors for hospital-acquired infection,and a nomogram prediction model was constructed.Results Multivariable logistic regression analysis identified cerebral infarction(odds ratio=25.09,95%confidence interval:5.38-117.10),no history of alcohol consumption(odds ratio=4.47,95%confidence interval:1.51-13.18),no history of cerebrovascular disease(odds ratio=5.04,95%confidence interval:1.35-18.76),elevated neutrophil count(odds ratio=1.29,95%confidence interval:1.08-1.55),and elevated C-reactive protein(odds ratio=1.03,95%confidence interval:1.01-1.06)as independent risk factors for hospital-acquired infection in patients with stroke.Absence of nasogastric tube feeding(odds ratio=0.09,95%confidence interval:0.03-0.31),no indwelling urinary catheterization(odds ratio=0.21,95%confidence interval:0.06-0.77),and absence of postoperative coma(odds ratio=0.07,95%confidence interval:0.01-0.36)were identified as protective factors.The nomogram model achieved an area under the curve of 0.96(95%confidence interval:0.94-0.98)in the training set and 0.94(95%confidence interval:0.90-0.99)in the validation set,with good calibration.Gram-negative bacteria were the predominant pathogens(70.2%),and the respiratory tract was the most common infection site(92.9%).Endotracheal intubation and impaired consciousness were identified as common risk factors for both pulmonary and Gram-negative bacterial infections.Conclusion This study identified independent risk factors for hospital-acquired infection in patients with stroke,developed a nomogram model with good predictive performance,and preliminarily characterized the risk profiles associated with different infection types and sites.These findings provide a reference for early identification of high-risk patients and the formulation of targeted prevention and control strategies.关键词
脑卒中/医院感染/危险因素/预测模型Key words
Stroke/Hospital-acquired infection/Risk factors/Predictive model引用本文复制引用
徐婷,韩冰清,张涵瑜,邵春青,王玉飞,焦瑒,张国军..脑卒中患者医院感染的病原菌分布特征及危险因素分析[J].四川大学学报(医学版),2026,57(2):400-410,11.基金项目
This study was supported by Beijing Natural Science Foundation(No.7244329)and Basic-Clinical Joint Laboratory of Capital Medical University(No.SYJCLCSYS003). 北京市自然科学基金(No.7244329)和首都医科大学基础-临床联合实验室(No.SYJCLCSYS003)资助 (No.7244329)