Time to diagnosis in juvenile idiopathic arthritis: a french perspective

Laura Aoust1, Linda Rossi-Semerano1,2, Isabelle Koné-Paut1,2

  • 1Division of Pediatric Rheumatology, Bicêtre Hospital, APHP, University of Paris SUD, 78 rue du Général Leclerc, Le Kremlin-Bicêtre, Cedex, 94270, France.

Insights

Diagnosing juvenile idiopathic arthritis (JIA) is often delayed due to low awareness among general practitioners and emergency physicians. Improving physician education and strengthening pediatric rheumatology networks are crucial for faster JIA diagnosis and better patient care.

Area of Science:

  • Pediatric Rheumatology
  • Rheumatic Diseases
  • Patient Journey Analysis

Background:

  • Juvenile idiopathic arthritis (JIA) is a rare pediatric rheumatic disease.
  • Lack of awareness among general practitioners (GPs) and pediatricians contributes to diagnostic delays.
  • Early diagnosis is critical for effective management and improved patient outcomes.

Purpose of the Study:

  • To analyze the patient's journey and time to diagnosis for JIA.
  • To identify factors contributing to diagnostic delays in JIA.
  • To emphasize the need for enhanced awareness and education regarding JIA.

Main Methods:

  • Retrospective cohort study of 67 patients diagnosed with JIA.
  • Analysis of patient referrals, initial diagnoses, and time to definitive diagnosis.
  • Inclusion of patients from a pediatric rheumatology department between July 2002 and January 2015.

Main Results:

  • Patients visited a mean of three physicians before JIA diagnosis, often starting in emergency rooms.
  • Common initial misdiagnoses included reactive and septic arthritis.
  • While the median total time to diagnosis was 3 months, the pathway to a pediatric rheumatologist was complex and lengthy.

Conclusions:

  • The patient journey to JIA diagnosis is complex, involving multiple referrals and initial misdiagnoses.
  • Improving awareness and education among GPs and emergency physicians is essential.
  • Strengthening pediatric rheumatology networks may improve the speed and accuracy of JIA diagnosis.
Abstract

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