Risk prediction model for pulmonary fungal infection in patients with lung cancer based on evidence-based theory
10.3969/j.issn.1673-9701.2025.06.007
- VernacularTitle:基于循证理论构建肺癌患者发生肺部真菌感染的风险预测模型
- Author:
Ying YI
1
;
Renliang LI
Author Information
1. 浙江中医药大学附属第三医院老年医学科、全科医学科,浙江 杭州 310005
- Publication Type:Journal Article
- Keywords:
Lung cancer;
Fungal infection;
Meta analysis;
Prediction model
- From:
China Modern Doctor
2025;63(6):35-39
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct risk prediction model for pulmonary fungal infection in patients with lung cancer based on Meta-analysis and Logistic regression analysis methods.Methods The literature on the risk factors of pulmonary fungal infection in patients with lung cancer published at home and abroad was searched by computer,the risk factors that could be analyzed were extracted,and the data were analyzed by Stata 14.0 software.Results A total of 15 articles were included,including 4926 patients with lung cancer and 805 patients with pulmonary fungal infection.The fungal infection rate in lung cancer was 26％(95％CI:0.16～0.37).Nine positive risk factors were screened by Meta-analysis and a risk scoring scale was developed based on a Logistic regression model.Conclusion The evidence based risk prediction model for in patients with lung cancer complicated by pulmonary fungal infections has certain practical reference value for preventing and managing pulmonary fungal infections in lung cancer population.
