Unknown

Dataset Information

Development of a Prediction Model for Acute Exacerbation in Idiopathic Pulmonary Fibrosis: A Study of the Korea IPF Cohort Registry.


ABSTRACT:

Background

Acute exacerbation (AE) of idiopathic pulmonary fibrosis (IPF) has the most disastrous impact on prognosis as a major cause of morbidity and mortality. However, there is no proven treatment, and the occurrence of AE is unpredictable. This study aimed to develop a prediction model for AE in patients with IPF using the nationwide Korea IPF Cohort (KICO) registry.

Methods

This is a retrospective study of Korean patients with IPF who were enrolled from June 2016 to February 2022 in the KICO registry. We developed a prediction model for AE based on risk factors found in the multivariable logistic regression model.

Results

Of 678 patients with IPF, the mean age was 69.4 years, and 82.0% were male. AE occurred in 165 patients (24.3%) during follow-up (median: 40.7

SUBMITTER: Lee JH 

PROVIDER: S-EPMC12401742 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature