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Study on the Detection of Pleuropulmonary Manifestations in Rheumatoid Arthritis

Recruiting
Conditions
Rheumatic Arthritis
Interstitial Lung Disease in Patients With Rheumatoid Arthritis
Registration Number
NCT06965322
Lead Sponsor
Medical University Innsbruck
Brief Summary

The aim of the study is to develop a standardized, risk-adapted screening protocol for detecting pleuropulmonary manifestations in patients with rheumatoid arthritis. To assess the risk of these manifestations, a comprehensive range of functional and clinical evaluations will be performed and correlated with structural lung assessments using computed tomography (CT).

Detailed Description

The objective of the study is the establishment of a standardized risk-adapted screening protocol for detecting pleuropulmonary manifestations in patients with rheumatoid arthritis. To determine the risk of pleuropulmonary manifestation in RA, clinical (pulmonological and rheumatological specialist examination including standardized disease activity and symptom scores), laboratory (e.g. RF, ACPA, CRP, CEA), lung function (incl. body plethysmography, TLCO, FeNO, SMWT), sonographic (thoracic ultrasound, joint ultrasound), and demographic (e.g., age, gender) factors will be considered. A machine learning (ML) based risk-modeling approach will be utilized to create the screening tool. For further external validation and clinical application, a freely accessible online tool and a mobile app will be developed based on the existing model.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
800
Inclusion Criteria
  • Patients ≥18 years diagnosed with rheumatoid arthritis according to current ACR/EULAR criteria
  • Residence in Austria
  • Signed and dated consent of the patient in accordance with ICH-GCP guidelines
Exclusion Criteria
  • pregnancy
  • age below 18 years
  • Contraindications to study-related routine examinations (e.g., inability to draw blood due to needle phobia, no CT scan possible due to claustrophobia, pregnancy, etc.)

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Number of RA patients with pleuropulmonary involvement according to an AI-supported multiparametric risk profile analysissingle point (baseline)

AI-supported risk factor-based analysis of pleuropulmonary involvement in RA patients assessed at a single time-point (baseline assessment). A multiparametric AI-supported evaluation based on clinical, sonographic, pulmonary function, laboratory, and exercise performance tests defines an RA population at high risk for the presence of pleuropulmonary involvement.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Medical University Innsbruck

🇦🇹

Innsbruck, Austria

Medical University Innsbruck
🇦🇹Innsbruck, Austria
Thomas Sonnweber, MD, PhD
Contact
+43(0)501250482586
Thomas.Sonnweber@i-med.ac.at

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