- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06036537
Investigation on Risk Factors of Rheumatoid Arthritis Related Interstitial Lung Disease
Rheumatoid arthritis (RA) is one of the most common autoimmune diseases, characterized by chronic inflammatory bone and cartilage destruction. Although treatment including anti-tumor necrosis factor (TNF) and interleukin-6 (IL-6) receptor antibodies has been successful, only 20% to 30% of patients have achieved complete remission. Interstitial lung disease (ILD) is a common complication of rheumatoid arthritis (RA). Approximately 5-10% of RA patients have clinically significant rheumatoid arthritis associated interstitial lung disease (RA-ILD), with a mortality rate of 2-10 times that of RA-non ILD patients. The median survival after diagnosis is between 3-8 years. Although there are multiple biomarkers for RA-ILD, such as anti citrullinated protein antibody (ACPA), MUC5B mutant gene, KL-6, etc., none of these biomarkers can reliably predict the disease and prognostic risk of RA-ILD. Therefore, improving the prediction of RA complicated with ILD and exploring risk factors for the progression and prognosis of RA-ILD can contribute to early diagnosis and treatment, and is of great significance in preventing RA lung injury and death.
This study aims to screen differential serum biomarkers between RA patients and RA-ILD patients through prospective cohort studies, to explore whether these differential serum biomarkers are a risk factor for RA patients complicated with ILD, and whether they affect the clinical prognosis of RA-ILD patients.
Study Overview
Status
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
-
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Chongqing
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Chongqing, Chongqing, China, 401147
- Recruiting
- Chongqing General Hospital
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Contact:
- qiongwen hu, PhD
- Phone Number: +86-023-63516483
- Email: huqiongwen1@sina.com
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
1. Diagnosis of rheumatoid arthritis patients based on the 2010 ACR/EULAR RA classification criteria; 2. age ≥18 years; 3. Interstitial lung disease was diagnosed by lung high resolution computed tomography (HRCT)
Exclusion Criteria:
1. age <years; 2. Being treated with urate-lowering medications; 3. Other systemic/organ specific autoimmune diseases other than rheumatoid arthritis (such as SLE, ANCA associated vasculitis, pSS, SSc, myositis, etc.); 4.Tumor, pulmonary tuberculosis, glomerular filtration rate less than 30ml/min/1.73m2
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
rheumatoid arthritis
|
Serum marker detection,High resolution computed tomography scan
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Occurrence of interstitial lung disease
Time Frame: 2 years
|
Whether rheumatoid arthritis patients have occurred interstitial lung disease and the time of occurrence of interstitial lung disease
|
2 years
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1stChongqingMU123
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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