Comorbidity patterns before and after juvenile idiopathic arthritis diagnosis

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Abstract

Employing Oracle Real-World Data, this study examined demographic characteristics and comorbidity patterns in Juvenile Idiopathic Arthritis (JIA) patients before and after diagnosis. We found disparities in diagnosis age across racial groups. Pre-diagnostic indicators like musculoskeletal pain—especially alongside joint, abdominal, or respiratory symptoms—may serve as early clinical signs. Post-diagnosis, the comorbidity burden expanded to broader multi-system involvement, predominant in joint, skin, and respiratory conditions.

Date
May 1, 2025
Event
INFORMS Conference on Service Science (ICSS) 2025
Mohammad Fili
Mohammad Fili
Postdoctoral Research Fellow

My research interests include Healthcare Data Analytics, Machine Learning, and Optimization.

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