Disease activity trajectories from childhood to adulthood in the population-based Nordic juvenile idiopathic arthritis cohort.

Arthritis, Juvenile Machine Learning Outcome Assessment, Health Care Patient Reported Outcome Measures

Journal

RMD open
ISSN: 2056-5933
Titre abrégé: RMD Open
Pays: England
ID NLM: 101662038

Informations de publication

Date de publication:
08 Mar 2024
Historique:
received: 02 10 2023
accepted: 26 01 2024
medline: 9 3 2024
pubmed: 9 3 2024
entrez: 8 3 2024
Statut: epublish

Résumé

To identify long-term disease activity trajectories from childhood to adulthood by using the clinical Juvenile Arthritis Disease Activity Score (cJADAS10) in juvenile idiopathic arthritis (JIA). Second, to evaluate the contribution of the cJADAS10 components and explore characteristics associated with active disease at the 18-year follow-up. Patients with onset of JIA in 1997-2000 were followed for 18 years in the population-based Nordic JIA cohort. We used a discrete mixture model for longitudinal clustering of the cJADAS10 and its components. We assessed factors potentially associated with higher scores on the patient's global assessment of well-being (PaGA) by hierarchical clustering and correlation analysis. Four disease activity trajectories were identified based on the cJADAS10 components among 427 patients. In trajectory-group 2, the PaGA and the physician's global assessment of disease activity (PhGA) increased significantly during the course, but not the active joint count. The increase in the PaGA was significantly higher than the increases in the PhGA and the active joint count (p<0.0001). A similar pattern was found among all the patients with active disease in the total cohort. Patients with higher PaGA scores had unfavourable scores on several other patient-reported outcomes. We have identified groups of patients based on long-term disease activity trajectories. In our study the PaGA was the most important driver of disease activity into adulthood assessed by cJADAS10. We need to better understand how our patients interpret global well-being and implement strategies to achieve inactive disease perceived both by the patient and the physician.

Identifiants

pubmed: 38458760
pii: rmdopen-2023-003759
doi: 10.1136/rmdopen-2023-003759
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Mia Glerup (M)

Department of Pediatrics, Aarhus University Hospital, Aarhus, Denmark.

Martin Rypdal (M)

Department of Mathematics and Statistics, UiT The Arctic University of Norway, Tromsø, Troms, Norway.

Ellen Arnstad (E)

Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Department of Pediatrics, Levanger Hospital, Levanger, Norway.

Kristiina Aalto (K)

Pediatric Research Center, New Children's Hospital, Helsinki University Hospital, Helsinki, Finland.

Lillemor Berntson (L)

Department of Woman's and Children's Health, Uppsala University, Uppsala, Sweden.

Anders Fasth (A)

Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.

Troels Herlin (T)

Department of Pediatrics, Aarhus University Hospital, Aarhus, Denmark.

Charlotte Myrup (C)

Department of Paediatrics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Suvi Peltoniemi (S)

Clinic of Rheumatology, Helsinki University Central Hospital, Helsinki, Uusimaa, Finland.

Marite Rygg (M)

Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Department of Pediatrics, St. Olavs Hospital, Trondheim, Norway.

Ellen Berit Nordal (EB)

Department of Pediatrics, University Hospital of North Norway, Tromsø, Norway.
Institute of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway.

Classifications MeSH