Identification of phenotypes with different clinical outcomes in knee osteoarthritis: Data from the osteoarthritis initiative

Jesper Knoop, Marike van der Leeden, Carina A. Thorstensson, Leo D. Roorda, William F. Lems, Dirk L. Knol, Martijn Steultjens, Joost Dekker

Research output: Contribution to journalArticle

Abstract

The aim of this research was to identify subgroups or phenotypes of knee osteoarthritis (OA) patients based on similarities of clinically relevant patient characteristics, and to compare clinical outcomes of these phenotypes. Data from 842 knee OA patients of the Osteoarthritis Initiative were used. A cluster analysis method was performed, in which clusters were formed based on similarities in 4 clinically relevant, easily available variables: severity of radiographic OA, lower extremity muscle strength, body mass index, and depression. Univariable and multivariable regression analyses were used to compare phenotypes on clinical outcomes (pain and activity limitations), taking into account possible confounders.
Original languageEnglish
Pages (from-to)1535-1542
JournalArthritis Care and Research
Volume63
Issue number11
DOIs
Publication statusPublished - Nov 2011

Keywords

  • knee osteoarthritis
  • cluster analysis

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    Knoop, J., van der Leeden, M., Thorstensson, C. A., Roorda, L. D., Lems, W. F., Knol, D. L., Steultjens, M., & Dekker, J. (2011). Identification of phenotypes with different clinical outcomes in knee osteoarthritis: Data from the osteoarthritis initiative. Arthritis Care and Research , 63(11), 1535-1542. https://doi.org/10.1002/acr.20571