Rheumatoid Arthritis Clinical Trial
— PPM:RANTOfficial title:
People-Powered Medicine (PPM): Rheumatoid Arthritis Non-responders to Biologic Therapies (RANT)
NCT number | NCT05447182 |
Other study ID # | IRB20-1219 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | July 6, 2021 |
Est. completion date | October 31, 2023 |
Verified date | February 2024 |
Source | Brigham and Women's Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The investigators are interested in enrolling patients with rheumatoid arthritis (RA) who had a difficult time getting their disease under control even after trying multiple RA therapies. The investigators believe that there may be common patterns in the genes of this group of RA patients compared to those with more "textbook RA." Understanding genetic factors can help doctors to know in advance who may not respond to conventional therapies and start with treatments that work. Learning about underlying genes that influence treatment may help the investigators to identify new targets for therapy, to ultimately improve the lives of patients with RA and inflammatory arthritis.
Status | Completed |
Enrollment | 300 |
Est. completion date | October 31, 2023 |
Est. primary completion date | June 30, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 95 Years |
Eligibility | Inclusion Criteria: - Age > 18 years - RA diagnosed by a rheumatologist - Poor control of RA disease activity with tumor necrosis factor inhibitor (TNFi) and another biologic therapy or small molecule approved for RA Exclusion Criteria: - If the reason for failed TNFi therapy was due to a contraindication or adverse reaction - Unable to provide blood sample |
Country | Name | City | State |
---|---|---|---|
United States | Brigham and Women's Hospital | Boston | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
Brigham and Women's Hospital | Harvard Medical School (HMS and HSDM) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Other potential predictors of poor response to biologic therapies | Electronic health data will be used to assess for common features of patients who have poor response to therapy compared to TNFi responders. | Retrospective data up to 10 years prior to enrollment | |
Primary | Whole genome sequencing | Genomic data will be applied in an established bioinformatics pipeline to screen for uncommon variants and test association with exceptional treatment non-responders compared with TNFi responders. | Through study completion, averaging 1 year | |
Secondary | Subgroup analyses of treatment non-responders | Patients who eventually find a therapy that controls their RA. The investigators will use prospective questionnaire data to subgroup patients into those who eventually find a treatment that works vs those who do not. | 1 year |
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