Development of a Screening Algorithm for Lung Disease in Systemic Juvenile Idiopathic Arthritis

Holly Wobma1, Ronny Bachrach2, Joseph Farrell2

  • 1Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.

ACR Open Rheumatology
|September 9, 2023
PubMed

Insights

A new algorithm aids in screening for lung disease (LD) in systemic juvenile idiopathic arthritis (sJIA). This tool identifies at-risk patients using "red flag" clinical features for early detection and management of sJIA-LD.

Area of Science:

  • Pediatric Rheumatology
  • Pulmonology
  • Clinical Algorithm Development

Background:

  • Lung disease (LD) is a significant and growing complication in systemic juvenile idiopathic arthritis (sJIA).
  • Current clinical practice lacks established guidelines for pulmonary screening in sJIA patients.
  • Early identification of LD in sJIA is crucial for timely intervention and improved patient outcomes.

Purpose of the Study:

  • To develop a standardized pulmonary screening algorithm for patients with sJIA.
  • To establish consensus-based recommendations for identifying sJIA patients at increased risk for LD.
  • To guide the pulmonary work-up and monitoring of sJIA patients with potential lung involvement.

Main Methods:

  • Convened a multidisciplinary workgroup including rheumatology, pulmonary, stem cell transplantation specialists, and patient families.
  • Utilized a modified Delphi approach with multiple rounds of anonymous voting and a consensus meeting.
  • Drafted and refined an algorithm based on existing literature and institutional experience.

Main Results:

  • Achieved consensus on 20 statements deemed appropriate for the screening algorithm.
  • The algorithm identifies patients with sJIA requiring pulmonary screening based on specific
  • red flag features.
  • These features encompass baseline characteristics, disease activity markers, respiratory symptoms, and drug hypersensitivity indicators.
  • Consensus was reached on recommended pulmonary diagnostic and monitoring strategies.

Conclusions:

  • A novel pulmonary screening algorithm for sJIA-related lung disease (sJIA-LD) has been successfully developed.
  • The algorithm was created through a collaborative, multidisciplinary consensus process.
  • The algorithm will be subject to revision as the understanding of sJIA-LD advances.
Abstract

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