Clinical phenotypes in patients with knee osteoarthritis: a study in the Amsterdam osteoarthritis cohort

M. van der Esch, J. Knoop, M. van der Leeden, L.D. Roorda, W.F. Lems, D.L. Knol, J. Dekker

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)544-549
Number of pages6
JournalOsteoarthritis and Cartilage
Volume23
Issue number4
Early online date14 Jan 2015
DOIs
Publication statusPublished - Apr 2015

Keywords

  • Aged
  • Body Mass Index
  • Cluster Analysis
  • Cohort Studies
  • Comorbidity
  • Cross-Sectional Studies
  • Depression/psychology
  • Female
  • Humans
  • Knee Joint/diagnostic imaging
  • Male
  • Middle Aged
  • Muscle Strength/physiology
  • Netherlands
  • Obesity/complications
  • Osteoarthritis, Knee/classification
  • Phenotype
  • Radiography
  • Reproducibility of Results
  • Severity of Illness Index
  • Surveys and Questionnaires

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