Study Stopped
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Rheumatoid Arthritis and Myositis Cohort
1 other identifier
observational
N/A
0 countries
N/A
Brief Summary
The primary objective of this research is to establish a well characterized clinical and longitudinal cohort for individuals with Rheumatoid Arthritis (RA) and Myositis to create a place to maintain blood, urine, stool specimens, excess tissue from procedures, and clinical data, which may be accessed for future research purposes. Specific research objectives of this cohort include:
- 1.Observe the response that immunosuppressive medications have on the immune cell population and cytokines in individuals with RA or Myositis.
- 2.Observe the role that the intestinal microbiome has on the immune cell population and cytokines in individuals with RA or Myositis.
- 3.Observe the connection between intestinal inflammation has on the immune cell population and cytokines in individuals with RA or Myositis.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
Started Jul 2023
Longer than P75 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 9, 2022
CompletedFirst Posted
Study publicly available on registry
November 25, 2022
CompletedStudy Start
First participant enrolled
July 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2033
ExpectedStudy Completion
Last participant's last visit for all outcomes
January 1, 2035
January 30, 2024
January 1, 2024
9.5 years
November 9, 2022
January 29, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Change in IL-1, IL-6, CXCL10 and Immune Cell Population due to Immunosuppressive Medication
Observe the response that immunosuppressive medications have on the immune cell population and cytokines in individuals with RA or Myositis.
1 year
Change in IL-1, IL-6, CXCL10 and Immune Cell Population in response to Intestinal Microbiome
Observe the role that the intestinal microbiome has on the immune cell population and cytokines in individuals with RA or Myositis.
1 year
Change in IL-1, IL-6, CXCL10 and Immune Cell Population in response to Intestinal Inflammation
Observe the connection between intestinal inflammation has on the immune cell population and cytokines in individuals with RA or Myositis.
1 year
Secondary Outcomes (3)
Change in IL-1, IL-6, CXCL10 and Immune Cell Population due to Immunosuppressive Medication
10 years
Change in IL-1, IL-6, CXCL10 and Immune Cell Population due to changes in the intestinal microbiome
10 years
Change in IL-1, IL-6, CXCL10 and Immune Cell Population due to Intestinal Inflammation
10 years
Study Arms (1)
Patients with Rheumatoid Arthritis and/or Myositis
All patients 18 years or older who have been diagnosed with Rheumatoid Arthritis according to the 2010 ACR/EULAR Classification Criteria. All patients 18 years or older who have been diagnosed with Myositis according to the 2017 European League Against Rheumatism/American College of Rheumatology Classification Criteria for Adult and Juvenile Idiopathic Inflammatory Myopathies Classification Criteria.
Eligibility Criteria
All patients seen with Rheumatoid Arthritis or Myositis who are at least 18 years of age will be eligible for the study.
You may qualify if:
- Subjects must be 18 years or older
- Diagnosed RA by a rheumatologist determined by the 2010 ACR/EULAR Classification Criteria.
- Diagnosed Myositis by a rheumatologist determined by the 2017 American College of Rheumatology Classification Criteria for Adult and Juvenile Idiopathic Inflammatory Myopathies
- Able to read and write in English or Spanish
You may not qualify if:
- Subject is less than 18 years old
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Attune Health Research, Inc.lead
- ONCOtracker Inccollaborator
Related Publications (19)
Bethesda. National Institutes of Health Autoimmune Disease Coordinating Committee Report. The Institutes, 2002.
BACKGROUNDServices USDoHaH. Progress in Autoimmune Diseases and Research. National Institutes of Health: The autoimmune Diseases Coordinating Committee, 2005:1-126.
BACKGROUNDWang L, Wang FS, Gershwin ME. Human autoimmune diseases: a comprehensive update. J Intern Med. 2015 Oct;278(4):369-95. doi: 10.1111/joim.12395. Epub 2015 Jul 25.
PMID: 26212387BACKGROUNDXu J, Yang Y. Gut microbiome and its meta-omics perspectives: profound implications for cardiovascular diseases. Gut Microbes. 2021 Jan-Dec;13(1):1936379. doi: 10.1080/19490976.2021.1936379.
PMID: 34170211BACKGROUNDDe Luca F, Shoenfeld Y. The microbiome in autoimmune diseases. Clin Exp Immunol. 2019 Jan;195(1):74-85. doi: 10.1111/cei.13158.
PMID: 29920643BACKGROUNDSingh RK, Chang HW, Yan D, Lee KM, Ucmak D, Wong K, Abrouk M, Farahnik B, Nakamura M, Zhu TH, Bhutani T, Liao W. Influence of diet on the gut microbiome and implications for human health. J Transl Med. 2017 Apr 8;15(1):73. doi: 10.1186/s12967-017-1175-y.
PMID: 28388917BACKGROUNDVieira SM, Pagovich OE, Kriegel MA. Diet, microbiota and autoimmune diseases. Lupus. 2014 May;23(6):518-26. doi: 10.1177/0961203313501401.
PMID: 24763536BACKGROUNDAnderson J, Caplan L, Yazdany J, Robbins ML, Neogi T, Michaud K, Saag KG, O'Dell JR, Kazi S. Rheumatoid arthritis disease activity measures: American College of Rheumatology recommendations for use in clinical practice. Arthritis Care Res (Hoboken). 2012 May;64(5):640-7. doi: 10.1002/acr.21649.
PMID: 22473918BACKGROUNDFransen J, van Riel PL. The Disease Activity Score and the EULAR response criteria. Rheum Dis Clin North Am. 2009 Nov;35(4):745-57, vii-viii. doi: 10.1016/j.rdc.2009.10.001.
PMID: 19962619RESULTRider LG, Aggarwal R, Machado PM, Hogrel JY, Reed AM, Christopher-Stine L, Ruperto N. Update on outcome assessment in myositis. Nat Rev Rheumatol. 2018 May;14(5):303-318. doi: 10.1038/nrrheum.2018.33. Epub 2018 Apr 12.
PMID: 29651119RESULTInstruments available for use in Assessment Center . Secondary Instruments available for use in Assessment Center. https://www.assessmentcenter.net/documents/InstrumentLibrary.pdf.
RESULTDeyo RA, Katrina Ramsey, Buckley DI, Michaels L, Kobus A, Eckstrom E, Forro V, Morris C. Performance of a Patient Reported Outcomes Measurement Information System (PROMIS) Short Form in Older Adults with Chronic Musculoskeletal Pain. Pain Med. 2016 Feb;17(2):314-24. doi: 10.1093/pm/pnv046.
PMID: 26814279RESULTBigaard J, Frederiksen K, Tjonneland A, Thomsen BL, Overvad K, Heitmann BL, Sorensen TI. Waist circumference and body composition in relation to all-cause mortality in middle-aged men and women. Int J Obes (Lond). 2005 Jul;29(7):778-84. doi: 10.1038/sj.ijo.0802976.
PMID: 15917857RESULTKonijn NP, van Tuyl LH, Bultink IE, Lems WF, Earthman CP, van Bokhorst-de van der Schueren MA. Making the invisible visible: bioelectrical impedance analysis demonstrates unfavourable body composition in rheumatoid arthritis patients in clinical practice. Scand J Rheumatol. 2014;43(4):273-8. doi: 10.3109/03009742.2013.852239. Epub 2014 Feb 7.
PMID: 24797672RESULTChen YM, Chen HH, Hsieh CW, Hsieh TY, Lan JL, Chen DY. A close association of body cell mass loss with disease activity and disability in Chinese patients with rheumatoid arthritis. Clinics (Sao Paulo). 2011;66(7):1217-22. doi: 10.1590/s1807-59322011000700016.
PMID: 21876977RESULTSciences NCIDoCCP. DHQIII Diet History Questionnaire Secondary DHQIII Diet History Questionnaire https://epi.grants.cancer.gov/dhq3/.
RESULTThompson FE, Subar AF, Brown CC, Smith AF, Sharbaugh CO, Jobe JB, Mittl B, Gibson JT, Ziegler RG. Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study. J Am Diet Assoc. 2002 Feb;102(2):212-25. doi: 10.1016/s0002-8223(02)90050-7.
PMID: 11846115RESULTSubar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S, McIntosh A, Rosenfeld S. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study. Am J Epidemiol. 2001 Dec 15;154(12):1089-99. doi: 10.1093/aje/154.12.1089.
PMID: 11744511RESULTSubar AF, Kipnis V, Troiano RP, Midthune D, Schoeller DA, Bingham S, Sharbaugh CO, Trabulsi J, Runswick S, Ballard-Barbash R, Sunshine J, Schatzkin A. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol. 2003 Jul 1;158(1):1-13. doi: 10.1093/aje/kwg092.
PMID: 12835280RESULT
Biospecimen
Blood, serum, plasma, urine, stool, synovial tissue, skin tissue, muscle tissue, extract DNA and RNA, endoscopy aspirate
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
November 9, 2022
First Posted
November 25, 2022
Study Start
July 1, 2023
Primary Completion (Estimated)
January 1, 2033
Study Completion (Estimated)
January 1, 2035
Last Updated
January 30, 2024
Record last verified: 2024-01