[Advances in predictive models for idiopathic pulmonary fibrosis].

Abstract

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and fibrotic lung disease of unknown etiology, primarily affecting middle-aged and elderly individuals. Chest imaging and histopathology are characterized by usual interstitial pneumonia (UIP). Without treatment, the median survival of patients is 3-5 years. Disease progression or acute exacerbation in IPF patients indicates a poor survival prognosis. Therefore, identification and establishment of predictive models for assessing IPF disease behavior may allow early prediction of disease progression, facilitating timely intervention or adjustment of therapeutic strategies to improve outcomes. This review aimed to summarized recent advances in IPF predictive models and to highlight key issues that need to be addressed.