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

doi:10.1002/acr.20571

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

Podiatry

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	1535-1542
Journal	Arthritis Care and Research
Volume	63
Issue number	11
DOIs	https://doi.org/10.1002/acr.20571
Publication status	Published - Nov 2011

Keywords

knee osteoarthritis
cluster analysis

Documents and Links

10.1002/acr.20571

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title = "Identification of phenotypes with different clinical outcomes in knee osteoarthritis: Data from the osteoarthritis initiative",

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.",

keywords = "knee osteoarthritis, cluster analysis ",

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Identification of phenotypes with different clinical outcomes in knee osteoarthritis: Data from the osteoarthritis initiative. / Knoop, Jesper ; van der Leeden, Marike; Thorstensson, Carina A.; Roorda, Leo D.; Lems, William F.; Knol, Dirk L. ; Steultjens, Martijn; Dekker, Joost.

In: Arthritis Care and Research , Vol. 63, No. 11, 11.2011, p. 1535-1542.

Research output: Contribution to journal › Article › peer-review

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AU - Knoop, Jesper

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AU - Thorstensson, Carina A.

AU - Roorda, Leo D.

AU - Lems, William F.

AU - Knol, Dirk L.

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AU - Dekker, Joost

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