Idiopathic Pulmonary Fibrosis clinical trials at University of California Health

The Idiopathic Pulmonary Fibrosis Prospective Outcomes (IPF-PRO) Registry started recruiting in 2014 with the objective of studying Idiopathic Pulmonary Fibrosis. In 2018, the registry expanded to include recruitment of participants with other chronic fibrosing interstitial lung diseases (ILDs) with progressive phenotype also referred to as progressive fibrosing interstitial lung diseases in the Chronic Fibrosis Interstitial Lung Disease with Progressive Phenotype (ILD-PRO) Registry. When the third phase of the registry begins, the IPF-PRO registry will enroll additional patients with idiopathic pulmonary fibrosis. This IPF-PRO registry is a prospective registry that will collect information regarding the natural history, health care interactions, participant reported questionnaire data to assess quality of life, and the methods of treatment of participants with a diagnosis of idiopathic pulmonary fibrosis (IPF) or of another chronic fibrosing interstitial lung disease (ILD) with progressive phenotype established at the enrolling centers. In addition, blood samples and chest image studies will be collected and banked for future research projects.

This study is a prospective observational study for subjects with idiopathic pulmonary fibrosis (IPF) or non-IPF interstitial lung diseases (ILD). The purpose of this study is to compare whether imaging patterns from high-resolution computed tomography (HRCT) at baseline can predict worsening. Single Time point Prediction (STP) is a score derived from an artificial intelligenc/ machine learning (AI/ML) using the radiomic features from a HRCT scan that quantifies the imaging patterns of short-term predictive worsening.