Objective: To identify and validate previously established phenotypes of knee osteoarthritis (OA) based on similarities in clinical patient characteristics.
Methods: Knee OA patients (N = 551) from the Amsterdam OA (AMS-OA) cohort provided data. Four clinical patient characteristics were assessed: upper leg muscle strength, body mass index (BMI), radiographic severity (Kellgren/Lawrence [KL] grade), and depressive mood (the Hospital Anxiety and Depression Scale [HADS] questionnaire). Cluster analysis was performed to identify the optimal number of phenotypes. Differences in clinical characteristics between the phenotypes were analyzed with ANOVA.
Results: Cluster analysis identified five phenotypes of knee OA patients: "minimal joint disease phenotype", "strong muscle strength phenotype", "severe radiographic OA phenotype", "obese phenotype", and "depressive mood phenotype".
Conclusions: Among patients with knee OA, five phenotypes were identified based on four clinical characteristics. To a high degree, the results are a replication of earlier findings in the OA Initiative, indicating that these five phenotypes seem a stable, valid, and clinically relevant finding.
Keywords: Depressive disorder [Mesh]; Knee [Mesh]; Muscle strength [Mesh]; Obesity [Mesh]; Osteoarthritis; Phenotype [Mesh].
Copyright © 2015 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.