Patient-reported wellbeing and clinical disease measures over time captured by multivariate trajectories of disease activity in individuals with juvenile idiopathic arthritis in the UK: a multicentre prospective longitudinal study.
Journal
The Lancet. Rheumatology
ISSN: 2665-9913
Titre abrégé: Lancet Rheumatol
Pays: England
ID NLM: 101765308
Informations de publication
Date de publication:
Feb 2021
Feb 2021
Historique:
entrez:
8
2
2021
pubmed:
9
2
2021
medline:
9
2
2021
Statut:
epublish
Résumé
Juvenile idiopathic arthritis (JIA) is a heterogeneous disease, the signs and symptoms of which can be summarised with use of composite disease activity measures, including the clinical Juvenile Arthritis Disease Activity Score (cJADAS). However, clusters of children and young people might experience different global patterns in their signs and symptoms of disease, which might run in parallel or diverge over time. We aimed to identify such clusters in the 3 years after a diagnosis of JIA. The identification of these clusters would allow for a greater understanding of disease progression in JIA, including how physician-reported and patient-reported outcomes relate to each other over the JIA disease course. In this multicentre prospective longitudinal study, we included children and young people recruited before Jan 1, 2015, to the Childhood Arthritis Prospective Study (CAPS), a UK multicentre inception cohort. Participants without a cJADAS score were excluded. To assess groups of children and young people with similar disease patterns in active joint count, physician's global assessment, and patient or parental global evaluation, we used latent profile analysis at initial presentation to paediatric rheumatology and multivariate group-based trajectory models for the following 3 years. Optimal models were selected on the basis of a combination of model fit, clinical plausibility, and model parsimony. Between Jan 1, 2001, and Dec 31, 2014, 1423 children and young people with JIA were recruited to CAPS, 239 of whom were excluded, resulting in a final study population of 1184 children and young people. We identified five clusters at baseline and six trajectory groups using longitudinal follow-up data. Disease course was not well predicted from clusters at baseline; however, in both cross-sectional and longitudinal analyses, substantial proportions of children and young people had high patient or parent global scores despite low or improving joint counts and physician global scores. Participants in these groups were older, and a higher proportion of them had enthesitis-related JIA and lower socioeconomic status, compared with those in other groups. Almost one in four children and young people with JIA in our study reported persistent, high patient or parent global scores despite having low or improving active joint counts and physician's global scores. Distinct patient subgroups defined by disease manifestation or trajectories of progression could help to better personalise health-care services and treatment plans for individuals with JIA. Medical Research Council, Versus Arthritis, Great Ormond Street Hospital Children's Charity, Olivia's Vision, and National Institute for Health Research.
Sections du résumé
BACKGROUND
BACKGROUND
Juvenile idiopathic arthritis (JIA) is a heterogeneous disease, the signs and symptoms of which can be summarised with use of composite disease activity measures, including the clinical Juvenile Arthritis Disease Activity Score (cJADAS). However, clusters of children and young people might experience different global patterns in their signs and symptoms of disease, which might run in parallel or diverge over time. We aimed to identify such clusters in the 3 years after a diagnosis of JIA. The identification of these clusters would allow for a greater understanding of disease progression in JIA, including how physician-reported and patient-reported outcomes relate to each other over the JIA disease course.
METHODS
METHODS
In this multicentre prospective longitudinal study, we included children and young people recruited before Jan 1, 2015, to the Childhood Arthritis Prospective Study (CAPS), a UK multicentre inception cohort. Participants without a cJADAS score were excluded. To assess groups of children and young people with similar disease patterns in active joint count, physician's global assessment, and patient or parental global evaluation, we used latent profile analysis at initial presentation to paediatric rheumatology and multivariate group-based trajectory models for the following 3 years. Optimal models were selected on the basis of a combination of model fit, clinical plausibility, and model parsimony.
FINDING
RESULTS
Between Jan 1, 2001, and Dec 31, 2014, 1423 children and young people with JIA were recruited to CAPS, 239 of whom were excluded, resulting in a final study population of 1184 children and young people. We identified five clusters at baseline and six trajectory groups using longitudinal follow-up data. Disease course was not well predicted from clusters at baseline; however, in both cross-sectional and longitudinal analyses, substantial proportions of children and young people had high patient or parent global scores despite low or improving joint counts and physician global scores. Participants in these groups were older, and a higher proportion of them had enthesitis-related JIA and lower socioeconomic status, compared with those in other groups.
INTERPRETATION
CONCLUSIONS
Almost one in four children and young people with JIA in our study reported persistent, high patient or parent global scores despite having low or improving active joint counts and physician's global scores. Distinct patient subgroups defined by disease manifestation or trajectories of progression could help to better personalise health-care services and treatment plans for individuals with JIA.
FUNDING
BACKGROUND
Medical Research Council, Versus Arthritis, Great Ormond Street Hospital Children's Charity, Olivia's Vision, and National Institute for Health Research.
Identifiants
pubmed: 33554133
doi: 10.1016/S2665-9913(20)30269-1
pii: S2665-9913(20)30269-1
pmc: PMC7843954
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e111-e121Subventions
Organisme : Medical Research Council
ID : MC_UU_00002/4
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M004600/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R013926/1
Pays : United Kingdom
Investigateurs
Eileen Baildam
(E)
Michael Barnes
(M)
Michael W Beresford
(MW)
Emil Carlsson
(E)
Alice Chieng
(A)
Coziana Ciurtin
(C)
Gavin Cleary
(G)
Joyce Davidson
(J)
Fatjon Dekaj
(F)
Sally-Anne Dews
(SA)
Andrew Dick
(A)
Gil Diogo
(G)
Teresa Duerr
(T)
Joanna Fairlie
(J)
Helen Foster
(H)
Jenna F Gritzfeld
(JF)
Yiannis Ioannou
(Y)
Beth Jebson
(B)
Melissa Kartawinata
(M)
Toby Kent
(T)
Aline Kimonyo
(A)
Saskia Lawson-Tovey
(S)
Wei-Yu Lin
(WY)
Paul Martin
(P)
Flora McErlane
(F)
Fatema Merali
(F)
Andrew Morris
(A)
Helen Neale
(H)
Jessica Neisen
(J)
Sandra Ng
(S)
Elizabeth Ralph
(E)
Athimalaipet V Ramanan
(AV)
Soumya Raychaudhuri
(S)
Emily Robinson
(E)
Samantha Smith
(S)
Emma Sumner
(E)
Damian Tarasek
(D)
Chris Wallace
(C)
Zoe Wanstall
(Z)
Annie Yarwood
(A)
Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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