Identifying multivariate disease trajectories and potential phenotypes of early knee osteoarthritis in the CHECK cohort.

ABSTRACT:

Objective

To gain better understanding of osteoarthritis (OA) heterogeneity and its predictors for distinguishing OA phenotypes. This could provide the opportunity to tailor prevention and treatment strategies and thus improve care.

Design

Ten year follow-up data from CHECK (1002 early-OA subjects with first general practitioner visit for complaints ≤6 months before inclusion) was used. Data were collected on WOMAC (pain, function, stiffness), quantitative radiographic tibiofemoral (TF) OA characteristics, and semi-quantitative radiographic patellofemoral (PF) OA characteristics. Using functional data analysis, distinctive sets of trajectories were identified for WOMAC, TF and PF characteristics, based on model fit and clinical interpretation. The probabilities of knee membe

SUBMITTER: Altamirano S 

PROVIDER: S-EPMC10348540 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature