Article (Scientific journals)
Can we identify patients with high risk of osteoarthritis progression who will respond to treatment ? A focus on epidemiology and phenotype of osteoarthritis
Bruyère, Olivier; Cooper, C; Arden, N et al.
2015In Drugs and Aging, 32 (3), p. 179-187
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Abstract :
[en] Osteoarthritis is a syndrome affecting a variety of patient profiles. A European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis and the European Union Geriatric Medicine Society working meeting explored the possibility of identifying different patient profiles in osteoarthritis. The risk factors for the development of osteoarthritis include systemic factors (e.g., age, sex, obesity, genetics, race, and bone density) and local biomechanical factors (e.g., obesity, sport, joint injury, and muscle weakness); most also predict disease progression, particularly joint injury, malalignment, and synovitis/effusion. The characterization of patient profiles should help to better orientate research, facilitate trial design, and define which patients are the most likely to benefit from treatment. There are a number of profile candidates. Generalized, polyarticular osteoarthritis and local, monoarticular osteoarthritis appear to be two different profiles; the former is a feature of osteoarthritis comorbid with inflammation or the metabolic syndrome, while the latter is more typical of post-trauma osteoarthritis, especially in cases with severe malalignment. Other biomechanical factors may also define profiles, such as joint malalignment, loss of meniscal function, and ligament injury. Early- and late-stage osteoarthritis appear as separate profiles, notably in terms of treatment response. Finally, there is evidence that there are two separate profiles related to lesions in the subchondral bone, which may determine benefit from bone-active treatments. Decisions on appropriate therapy should be made considering clinical presentation, underlying pathophysiology, and stage of disease. Identification of patient profiles may lead to more personalized healthcare, with more targeted treatment for osteoarthritis.
Disciplines :
General & internal medicine
Author, co-author :
Bruyère, Olivier  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Cooper, C
Arden, N
Branco, J
Brandi, ML
Herrero-Beaumont, G
Berenbaum, F
Dennison, E
Devogelaer, JP
Hochberg, M
Kanis, J
Laslop, A
McAlindon, T
Reiter, S
Richette, P
Rizzoli, R
Reginster, Jean-Yves  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
More authors (7 more) Less
Language :
English
Title :
Can we identify patients with high risk of osteoarthritis progression who will respond to treatment ? A focus on epidemiology and phenotype of osteoarthritis
Publication date :
2015
Journal title :
Drugs and Aging
ISSN :
1170-229X
eISSN :
1179-1969
Publisher :
Adis International, Auckland, New Zealand
Volume :
32
Issue :
3
Pages :
179-187
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 24 February 2015

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