The FIB-4 scores in the emergency department to predict the outcomes of COVID-19 patients in taiwan.

ABSTRACT:

Objective

We aimed to determine the reliability of using the Fibrosis-4 (FIB-4) index in COVID-19 patients without underlying liver illness.

Method

We employed multivariate logistic regression to identify variables that exhibited statistically significant influence on the ultimate outcome. Multilayer perceptron analysis was employed to develop a prediction model for the FIB-4 index concerning ICU admission and intubation rates. However, the scarcity of cases rendered the assessment of the mortality rate unfeasible. We plotted ROC curves to analyze the predictive strength of the FIB-4 index across various age groups.

Result

In univariate logistic regression, only the FIB-4 index and respiratory rate demonstrated statistical significance on all poor outcomes. The FIB-4

SUBMITTER: Liu CY 

PROVIDER: S-EPMC10881524 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature