NCT04002765

Brief Summary

To determine factors associated with early RA-ILD (which may be asymptomatic). It is planned to recruit all patients with a newly diagnosed RA (symptoms since less than 3 years). In this study, all relevant demographic and clinical data will be collected. All patients will undergo lung function tests and high-resolution CT-scan of the lungs. Blood sample will be collected for measurement of (1) anti-CCP and rheumatoid factor measurement (good clinical practice) and a specific sample for the detection of the MUC5 promoter variant rs35705950. Our aim is thus to identify determinants of RA-ILD in the following population:

  • Adults aged 18 to 90 years-old
  • Diagnosis of rheumatoid arthritis (RA) based on ACR-EULAR 2010 criteria
  • Onset of disease duration at least 1 year and at most 10 years prior to inclusion

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
300

participants targeted

Target at P75+ for not_applicable rheumatoid-arthritis

Timeline
Completed

Started Nov 2019

Typical duration for not_applicable rheumatoid-arthritis

Geographic Reach
1 country

2 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 12, 2019

Completed
19 days until next milestone

First Posted

Study publicly available on registry

July 1, 2019

Completed
4 months until next milestone

Study Start

First participant enrolled

November 1, 2019

Completed
3.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2022

Completed
Last Updated

May 9, 2022

Status Verified

May 1, 2022

Enrollment Period

3.2 years

First QC Date

June 12, 2019

Last Update Submit

May 3, 2022

Conditions

Outcome Measures

Primary Outcomes (1)

  • Presence of an interstitial lung disease

    Detection of an interstitial lung disease associated with RA. We define RA-ILD by the presence of reticulations, ground-glass opacity and/or honeycombing at HRCT not explained by another cause (i.e. cardiac disease, infection or neoplasia).

    from enrollment of patient to 3 months post enrollment

Secondary Outcomes (5)

  • Proportion of different ILD subtypes

    from enrollment of patient to 3 months post enrollment

  • Proportion of patients presenting with a non-ILD lung involvement of RA

    from enrollment of patient to 3 months post enrollment

  • rs35705950 variant of the MUC5B promoter

    from enrollment of patient to 3 months post enrollment

  • anti-CCP antibodies

    from enrollment of patient to 3 months post enrollment

  • relevant exposure

    from enrollment of patient to 3 months post enrollment

Study Arms (1)

New RA patients

OTHER

* Adults aged 18 to 90 years-old * Diagnosis of rheumatoid arthritis (RA) based on ACR-EULAR 2010 criteria * Onset of disease duration at least 1 year and at most 10 years prior to inclusion

Diagnostic Test: pulmonary function tests

Interventions

1. Lung function tests (standard of care) 1. Dynamic and static volumes (FVC, FEV1, TPC, RV) 2. Lung diffusion capacity for CO (DLCO) 2. Chest Xrays 3. High resolution CT scanner (HRCT)

Also known as: High-resolution CT scanner
New RA patients

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adults aged 18 to 90 years-old
  • Diagnosis of rheumatoid arthritis (RA) based on ACR-EULAR 2010 criteria

You may not qualify if:

  • Pregnancy
  • Inability to provide informed consent
  • Inability to perform lung function tests or to comply with the protocol
  • Active pulmonary infection

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Cliniques universitaires Saint-Luc

Brussels, 1200, Belgium

RECRUITING

CHU-UCL Namur - Site Mont-Godinne

Yvoir, 5530, Belgium

RECRUITING

MeSH Terms

Conditions

Arthritis, Rheumatoid

Interventions

Respiratory Function Tests

Condition Hierarchy (Ancestors)

ArthritisJoint DiseasesMusculoskeletal DiseasesRheumatic DiseasesConnective Tissue DiseasesSkin and Connective Tissue DiseasesAutoimmune DiseasesImmune System Diseases

Intervention Hierarchy (Ancestors)

Diagnostic Techniques, Respiratory SystemDiagnostic Techniques and ProceduresDiagnosis

Study Officials

  • Antoine Froidure, MD PhD

    Cliniques universitaires Saint-Luc- Université Catholique de Louvain

    STUDY DIRECTOR
  • Patrick Durez, MD PhD

    Cliniques universitaires Saint-Luc- Université Catholique de Louvain

    PRINCIPAL INVESTIGATOR
  • Benoît Ghaye, MD PhD

    Cliniques universitaires Saint-Luc- Université Catholique de Louvain

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Antoine Froidure, MD PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Masking Details
All statistical analysis, including power calculation, will be performed in collaboration with the "Plate-forme en méthodologie statistique" of the UCLouvain. Pre-study estimations revealed that a sample size of 289 patients produces a two-sided 95% confidence interval with a precision (half-width) of 0,04 when the actual proportion is near 0,14.
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 12, 2019

First Posted

July 1, 2019

Study Start

November 1, 2019

Primary Completion

December 31, 2022

Study Completion

December 31, 2022

Last Updated

May 9, 2022

Record last verified: 2022-05

Data Sharing

IPD Sharing
Will not share

We will ensure study data confidentiality and anonymization (Law of 08 December 1992 on Privacy Protection, Law of 22 August 2002 on patients' rights and GDPR): A number will identify each subject. Only the PI and co-PI will have the ability to link the subject's number to his/her medical file. All data will be stored in a database, which will be held on CUSL' computer server. Access to data will be secured by (1) identification of PI and co-PI on their office desk and (2) by a specific password.

Locations