中国医药科学2025，Vol.15Issue(13)：38-41,4.DOI:10.20116/j.issn2095-0616.2025.13.07
导尿管相关尿路感染风险预测模型的研究进展
Research progress on risk prediction models for catheter associated urinary tract infections
摘要
Abstract
Catheter associated urinary tract infection(CAUTI)is a common type of hospital acquired infection with a high incidence rate,which seriously threatens the physical and mental health and disease prognosis of patients.This study centers on the CAUTI risk prediction model,reviews the column-line diagram models,risk prediction formulas and machine-learning models constructed at home and abroad for different diseases and places,and analyzes and compares them in terms of the model's research methodology,validation and application,and incorporation of risk factors,with the aim of providing China's clinical healthcare workers with more scientific CAUTI risk prediction modeling ideas to help reduce the incidence of urinary tract infections.关键词
导尿管相关尿路感染/风险预测/列线图/机器学习Key words
Catheter-associated urinary tract infections/Risk prediction models/Column chart/Machine learning分类
医药卫生引用本文复制引用
周晓敏,刘愔,蒋雪松..导尿管相关尿路感染风险预测模型的研究进展[J].中国医药科学,2025,15(13):38-41,4.基金项目
河南省中医药科学研究专项课题(2023ZY2048) （2023ZY2048）
河南省中医药文化与管理研究项目(TCM2024025). （TCM2024025）
