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Abstract Number: 2473

A Consensus Based Algorithm to Screen for Lung Disease in Children with Systemic Juvenile Idiopathic Arthritis

Holly Wobma1, Ronny Bachrach2, Joseph Farrell2, Margaret Chang3, Megan Day-Lewis1, Fatma Dedeoglu1, Martha Fishman4, Olha Halyabar1, Claudia Harris1, Daniel Ibanez1, Liyoung Kim1, Timothy Klouda4, Katie Krone4, Pui Lee1, Mindy Lo1, Kyle McBrearty1, Esra Meidan1, Susan Prockop5, Aaida Samad4, Mary Beth Son1, Peter Nigrovic3, Alicia Casey4, Joyce Chang3 and Lauren Henderson3, 1Division of Immunology, Boston Children's Hospital, Boston, MA, 2Community Member, Boston, MA, 3Boston Children's Hospital, Boston, MA, 4Division of Pulmonary Medicine, Boston Children’s Hospital, Boston, MA, 5Division of Hematology-Oncology, Boston Children's Hospital, Boston, MA

Meeting: ACR Convergence 2023

Keywords: Biologicals, interstitial lung disease, Juvenile idiopathic arthritis, macrophage activation syndrome, Still's disease

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Session Information

Date: Tuesday, November 14, 2023

Title: Abstracts: Pediatric Rheumatology – Clinical III: Potpourri

Session Type: Abstract Session

Session Time: 2:00PM-3:30PM

Background/Purpose: Over the last decade, lung disease (LD) has become an increasingly recognized complication of systemic juvenile idiopathic arthritis (sJIA). Children with sJIA-LD may be asymptomatic (diagnosed based on chest imaging) or present with a rapidly progressive disease course that can be fatal. Currently, the true burden of disease is unknown due to the variability of clinical symptoms and lack of a standardized approach to pulmonary screening in sJIA patients. Here, we sought to develop an algorithm to evaluate for LD in patients with sJIA at our institution.

Methods: A multidisciplinary workgroup was assembled and included members representing rheumatology (n=14), pulmonary (n=5), stem cell transplantation (n=1), and patients and their families (n=2). Four workgroup leaders drafted an initial algorithm based on review of the published literature and experience at our center. A modified Delphi approach was used to achieve agreement through 3 rounds of anonymous, asynchronous voting and a consensus meeting held in the Fall of 2022 (Figure 1). Approved statements were rated as appropriate by the workgroup with moderate or high levels of consensus. These approved statements were organized into the final version of the screening algorithm for LD in sJIA.

Results: The workgroup ultimately rated 21 statements as appropriate with a moderate or high level of consensus. The final algorithm recommends pulmonary screening for newly diagnosed sJIA patients with clinical features that the workgroup agreed may confer increased risk for LD (Figure 2). These “red flag” features include: baseline characteristics (young age at sJIA disease onset, presence of HLA-DRB1*15 alleles, trisomy 21), high disease activity (history of MAS, sJIA-related ICU admission, elevated MAS biomarkers such as ferritin, soluble IL-2 receptor, IL-18 and CXCL9), respiratory symptoms or abnormal pulmonary examination findings, and features of drug hypersensitivity-like reactions (eosinophilia, new non-evanescent rash without identifiable cause, anaphylaxis to any drug). The presence of any red flag feature prompts an initial pulmonary evaluation, which includes pulmonary function tests (3-minute walk test for young children who cannot perform PFTs), chest x-ray, and referral to the pulmonary clinic. For patients with an abnormal initial pulmonary evaluation and/or persistently active sJIA disease, a high-resolution chest CT is recommended. Bronchoalveolar lavage should also be considered in these patients to evaluate for infectious causes of respiratory decline. The workgroup recommended that all patients with red flag features should be followed closely in the pulmonary clinic.

Conclusion: We used a multidisciplinary, consensus-based approach to develop a strategy to screen for LD in children with sJIA. This approach is intended to reduce practice variation and identify pulmonary complications earlier in the disease course when interventions may be more successful. The algorithm will form the foundation upon which iterative changes can be made as our understanding of sJIA-LD improves.

Supporting image 1

Figure 1. Steps used to develop the sJIA-LD screening algorithm. Through a modified Delphi approach, statements were voted upon, discussed, refined, and re-evaluated by a collaborative workgroup containing diverse stakeholders. Approved statements were rated as appropriate with a moderate or high level of consensus and were organized into the final version of the algorithm.
sJIA-LD, systemic juvenile idiopathic arthritis lung disease; QI, quality improvement

Supporting image 2

Figure 2. Pulmonary screening algorithm for lung disease in patients with sJIA. The approved algorithm outlines a consensus-based approach to pulmonary screening for LD in sJIA patients at our center. Patients with newly diagnosed sJIA and at least one red flag feature are referred for pulmonary evaluation and follow up. MAS biomarkers include CXCL9, IL_18, ferritin, sIL_2R. Eosinophilia is defined as two consecutive AEC >500/uL or a doubling of baseline AEC. PFTs include spirometry, lung volumes, DLCO, and 6-minute walk test. In younger children who cannot perform these PFTs, a 3-minute walk test can be used.

This algorithm was developed for educational purposes only and for use in the Rheumatology and Pulmonary Programs at Boston Children’s Hospital. Decisions about evaluation and treatment are the responsibility of the treating clinician and should always be tailored to individual clinical circumstances.
sJIA, systemic juvenile idiopathic arthritis; ICU, intensive care unit; MAS, macrophage activation syndrome; AEC, absolute eosinophil count; sIL_2R, soluble IL_2 receptor; PFTs, pulmonary function tests; CXR, chest x-ray, CT, computed tomography; BAL, bronchoalveolar lavage; DLCO, diffusing capacity of the lungs for carbon monoxide


Disclosures: H. Wobma: None; R. Bachrach: None; J. Farrell: None; M. Chang: None; M. Day-Lewis: None; F. Dedeoglu: UptoDate, 9; M. Fishman: None; O. Halyabar: None; C. Harris: None; D. Ibanez: None; L. Kim: None; T. Klouda: None; K. Krone: None; P. Lee: None; M. Lo: None; K. McBrearty: None; E. Meidan: None; S. Prockop: AlloVIr, 12, Support for the conduct of clinical trials through BCH, Atara, 10, 12, Support for the conduct of clinical trials through BCH, CellEvolve, 2, Jasper Therapeutics, 12, Support for the conduct of clinical trials through BCH, Pierre Fabre, 2, 6, Regeneron, 6, VOR, 2; A. Samad: None; M. Son: None; P. Nigrovic: Apollo Therapeutics, 2, Bristol-Myers Squibb(BMS), 2, 5, Exo Therapeutics, 2, Fresh Tracks Therapeutics, 2, Merck/MSD, 2, Novartis, 2, Pfizer, 2, 5, Qiagen, 2, Sobi, 2; A. Casey: None; J. Chang: None; L. Henderson: Adaptive Biotechnologies, 2, 5, Bristol-Myers Squibb(BMS), 5, Pfizer, 2, Sobi, 1, 2, 5.

To cite this abstract in AMA style:

Wobma H, Bachrach R, Farrell J, Chang M, Day-Lewis M, Dedeoglu F, Fishman M, Halyabar O, Harris C, Ibanez D, Kim L, Klouda T, Krone K, Lee P, Lo M, McBrearty K, Meidan E, Prockop S, Samad A, Son M, Nigrovic P, Casey A, Chang J, Henderson L. A Consensus Based Algorithm to Screen for Lung Disease in Children with Systemic Juvenile Idiopathic Arthritis [abstract]. Arthritis Rheumatol. 2023; 75 (suppl 9). https://acrabstracts.org/abstract/a-consensus-based-algorithm-to-screen-for-lung-disease-in-children-with-systemic-juvenile-idiopathic-arthritis/. Accessed .
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