A simple, rapid, and cost-effective model for predicting critical influenza a infection in children: a multicentre, retrospective cohort study.

ABSTRACT:

Background

Owing to the absence of straightforward and scientifically validated screening and evaluation tools for the timely identification, diagnosis, and treatment of critical influenza A infection in children, this study aimed to construct an effective model for the early identification of patients at high risk of progressing to critical influenza A infection.

Methods

The prediction model was developed using the registration data of children diagnosed with influenza A who were admitted to Wuxi Children's Hospital, the Children's Hospital Affiliated to Soochow University and the Children's Hospital Affiliated to Fudan University. Patients were randomly divided into a training group and a validation group at a 7:3 ratio. A logistic regression model was established based on

SUBMITTER: Xiong S 

PROVIDER: S-EPMC12492913 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature