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A Phase 2a, Randomized, Double-blind, Placebo-Controlled Study of the Safety and Efficacy of MTX-463 in Participants with Idiopathic Pulmonary Fibrosis (IPF)
This is a prospective, observational cohort study. Participants with non-idiopatic pulmonary fibrosis, interstitial lung disease (ILD) will be followed for 24 months to systematically collect clinical, imaging, and biospecimen data. The primary objective is to optimize progressive pulmonary fibrosis (PPF) classification and establish PPF incidence for key ILD subtypes. Additional exploratory objectives are to 1) Prospectively validate a novel PPF classifier and assess performance durability over time, and 2) Determine whether multi-dimensional PPF prediction outperforms component approaches.
Idiopathic pulmonary fibrosis has a poor prognosis with limited treatment options. The Investigator hypothesize hyperpolarized Xe129-MRI can be performed in patients with IPF and repeated over time which will detect deficiencies related to perfusion in the lung.
The goal of this clinical trial is to learn if the investigational drug CAL101 can help prevent further decline in lung function in adults with Idiopathic Pulmonary Fibrosis. Researchers will compare CAL101 with placebo to compare change from baseline in forced vital capacity (FVC). Participants will be randomly assigned to a study group that will receive an IV infusion of either the study medication or placebo about once a month for 6 months.
The ASPIRE trial is a 52 week randomized, double-blind, placebo-controlled, parallel-group, multicenter trial in which the efficacy, safety, and pharmacokinetics of orally administered buloxibutid, either on top of stable IPF therapy or as monotherapy, are assessed in participants with IPF. Trial website: www.aspire-ipf.com
The purpose of this study is to determine if measurements of active collagen deposition using \[68Ga\]CBP8 positron emission tomography (PET) and tissue injury using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict an individual patient's pace of disease progression in non-idiopathic pulmonary fibrosis interstitial lung disease (non-IPF ILD) and identify which individuals will develop progressive pulmonary fibrosis.
A randomized, double-blind, placebo-controlled clinical study to evaluate the safety and efficacy of 2 doses of inhaled pirfenidone (AP01) versus placebo on top of standard of care in participants with PPF over 52 weeks.
This observational study involves obtaining 2 chest CT scans; a historical baseline CT within ±1 year of enrollment into PRECISIONS, and a follow-up CT (either historical or prospective) 12 months ± 180 days after the baseline CT. Many IPF patients will have a CT scan every 12 months for disease monitoring and cancer screening. Participants will have the option to share historical CTs only or they can choose to have a research CT done for the follow-up scan, if a scan for clinical purposes is not available.
This study is open to people with idiopathic pulmonary fibrosis (IPF) or progressive pulmonary fibrosis (PPF). They can only take part if they have completed treatment in a previous study with a medicine called nerandomilast or BI 1015550. The goal of this study is to find out how well people with pulmonary fibrosis tolerate long- term treatment with nerandomilast. The study also tests whether nerandomilast improves lung function and prolongs the time until symptoms get worse, participants need to go to the hospital, or die. Every participant takes nerandomilast as tablets for up to 1 year and 10 months. The participants may also continue their regular treatment for pulmonary fibrosis during the study. Participants visit their doctors regularly. During these visits, the doctors collect information on any health problems of the participants. Participants also regularly do lung function tests.
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.