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Dataset Information

Two-stage prediction model for in-hospital mortality of patients with influenza infection.


ABSTRACT:

Background

Infleunza is a challenging issue in public health. The mortality and morbidity associated with epidemic and pandemic influenza puts a heavy burden on health care system. Most patients with influenza can be treated on an outpatient basis but some required critical care. It is crucial for frontline physicians to stratify influenza patients by level of risk. Therefore, this study aimed to create a prediction model for critical care and in-hospital mortality.

Methods

This retrospective cohort study extracted data from the Chang Gung Research Database. This study included the patients who were diagnosed with influenza between 2010 and 2016. The primary outcome of this study was critical illness. The secondary analysis was to predict in-hospital mortality. A two-stage-m

SUBMITTER: Cheong CW 

PROVIDER: S-EPMC8131882 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature