A Prognostic Transcriptomic Signature for Chronic Hypersensitivity Pneumonitis
NCT ID: NCT04844359
Last Updated: 2025-05-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
ACTIVE_NOT_RECRUITING
137 participants
OBSERVATIONAL
2021-01-06
2025-07-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
A Validation Study on a Prognostic Prediction Model for Respiratory Tract Infections
NCT07109310
Definition of Sub-phenotypes of Pneumonia Based on the Respiratory Microbiome Composition to Predict Microbial and Clinical Treatment Failures
NCT06916481
Chronic Obstructive Pulmonary Disease Transcription Factor and Cytokine Study
NCT02557958
Clinical Study of Transcriptome-based Diagnostic Biomarker for Acute Febrile Illness
NCT06552975
Rapid Diagnosis of Severe Respiratory Tract Infectious Diseases and Screening of Biomarkers for Stratified Diagnosis
NCT06533514
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Enrolled subjects will be followed for 24 months and complete 5 visits to one of the study centers. Blood biomarkers will be collected in addition to other clinical data to determine if these biomarkers can predict disease progression.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
CASE_ONLY
PROSPECTIVE
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Age 18 through 85 years.
* Diagnosis of chronic hypersensitivity pneumonitis by HRCT
* Able to understand and sign a written informed consent form.
* Able to understand the importance of adherence to the study protocol and willing to follow all study requirements
Exclusion Criteria
* Known explanation for the interstitial lung disease
* Clinical diagnosis of any connective tissue disease
* Listed or expected to receive a lung transplant within 4 months from enrollment
* Pregnant women
18 Years
85 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University of California, Davis
OTHER
Mayo Clinic
OTHER
University of Chicago
OTHER
University of Texas Southwestern Medical Center
OTHER
University of Arizona
OTHER
University of Utah
OTHER
National Jewish Health
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Evans Fernandez Perez
Associate Professor
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Evans Fernández, MD, MS
Role: PRINCIPAL_INVESTIGATOR
National Jewish Health
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
University of Arizona
Tucson, Arizona, United States
University of California Davis
Sacramento, California, United States
National Jewish Health
Denver, Colorado, United States
University of Chicago
Chicago, Illinois, United States
Mayo Clinic
Rochester, Minnesota, United States
University of Texas Southwestern
Dallas, Texas, United States
University of Utah
Salt Lake City, Utah, United States
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.