Trajectory clusters of radiographic progression in patients with rheumatoid arthritis: associations with clinical variables.


Journal

Annals of the rheumatic diseases
ISSN: 1468-2060
Titre abrégé: Ann Rheum Dis
Pays: England
ID NLM: 0372355

Informations de publication

Date de publication:
02 2022
Historique:
received: 10 03 2021
accepted: 29 07 2021
pubmed: 12 8 2021
medline: 11 2 2022
entrez: 11 8 2021
Statut: ppublish

Résumé

Identification of trajectories of radiographic damage in rheumatoid arthritis (RA) by clustering patients according to the shape of their curve of Sharp-van der Heijde scores (SHSs) over time. Developing models to predict their progression cluster from baseline characteristics. Patient-level data over a 2-year period from five large randomised controlled trials on tumour necrosis factor inhibitors in RA were used. SHSs were clustered in a shape-respecting manner to identify distinct clusters of radiographic progression. Characteristics of patients within different progression clusters were compared at baseline and over time. Logistic regression models were developed to predict trajectory of radiographic progression using information at baseline. In total, 1887 patients with 7738 X-rays were used for cluster analyses. We identified four distinct clusters with characteristic shapes of radiographic progression: one with a stable SHS over the whole 2-year period (C0/lowChange; 86%); one with relentless progression (C1/rise; 5.8%); one with decreasing SHS (C2/improvement; 6.9%); one going up and down (C3/bothWays; 1.4%) of the SHS. Robustness of clusters were confirmed using different clustering methods. Regression models identified disease duration, baseline C-reactive protein (CRP) and SHS and treatment status as predictors for cluster assignment. We were able to identify and partly characterise four different clusters of radiographic progression over time in patients with RA, most remarkably one with relentless progression and another one with amelioration of joint damage over time, suggesting the existence of distinct patterns of joint damage accrual in RA.

Identifiants

pubmed: 34376384
pii: annrheumdis-2021-220331
doi: 10.1136/annrheumdis-2021-220331
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

175-183

Commentaires et corrections

Type : CommentIn

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: HR, AP, FA: nothing to declare. DA reports grants from Abbvie, Amgen, Lilly, Novartis, Roche, SoBi, Sanofi, other from Abbvie, Amgen, Lilly, Merck, Novartis, Pfizer, Roche, Sandoz, outside the submitted work; JSS received grants to his institution from Abbvie, AstraZeneca, Janssen, Lilly, Merck Sharpe & Dohme, Pfizer and Roche, and provided expert advice for, or had symposia speaking engagements with, AbbVie, Amgen, AstraZeneca, Astro, Bristol-Myers Squibb, Celgene, Celltrion, Chugai, Gilead, ILTOO Pharma, Janssen, Lilly, Merck Sharp & Dohme, Novartis-Sandoz, Pfizer, Roche, Samsung, Sanofi and UCB. SB reports personal fees from Abbvie, personal fees from Novartis, outside the submitted work.

Auteurs

Alexander Platzer (A)

Department of Rheumatology, Medical University of Vienna, Wien, Vienna, Austria.

Farideh Alasti (F)

Department of Rheumatology, Medical University of Vienna, Wien, Vienna, Austria.

Josef S Smolen (JS)

Department of Rheumatology, Medical University of Vienna, Wien, Vienna, Austria.

Daniel Aletaha (D)

Department of Rheumatology, Medical University of Vienna, Wien, Vienna, Austria.

Helga Radner (H)

Department of Rheumatology, Medical University of Vienna, Wien, Vienna, Austria.

Stephan Blüml (S)

Department of Rheumatology, Medical University of Vienna, Wien, Vienna, Austria stephan.blueml@meduniwien.ac.at.

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