[en] Osteoarthritis (OA), a disease affecting different
patient phenotypes, appears as an optimal candidate for
personalized healthcare. The aim of the discussions of the
European Society for Clinical and Economic Aspects of
Osteoporosis and Osteoarthritis (ESCEO) working group
was to explore the value of markers of different sources in
defining different phenotypes of patients with OA. The
ESCEO organized a series of meetings to explore the
possibility of identifying patients who would most benefit
from treatment for OA, on the basis of recent data and
expert opinion. In the first meeting, patient phenotypes were
identified according to the number of affected joints,
biomechanical factors, and the presence of lesions in the
subchondral bone. In the second meeting, summarized in
the present article, the working group explored other
markers involved in OA. Profiles of patients may be defined according to their level of pain, functional limitation, and
presence of coexistent chronic conditions including frailty
status. A considerable amount of data suggests that magnetic
resonance imaging may also assist in delineating
different phenotypes of patients with OA. Among multiple
biochemical biomarkers identified, none is sufficiently
validated and recognized to identify patients who should be
treated. Considerable efforts are also being made to identify
genetic and epigenetic factors involved in OA, but results
are still limited. The many potential biomarkers that could
be used as potential stratifiers are promising, but more
research is needed to characterize and qualify the existing
biomarkers and to identify new candidates.
Disciplines :
General & internal medicine
Author, co-author :
Arden, Nigel
Richette, Pascal
Cooper, Cyrus
Bruyère, Olivier ; Université de Liège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Abadie, Eric
Branco, Jaime
Brandi, Maria-Luisa
Berenbaum, Francis
Clerc, Cécile
Dennison, Elaine
Devogelaer, Jean-Pierre
Hochberg, Marc
D'Hooghe, Pieter
Herrero-Baumont, Gabriel
Kanis, John A.
Laslop, Andrea
Leblanc, Véronique
Maggi, Stefania
Mautone, Giuseppe
Pelletier, Jean-Pierre
Petit-Dop, Florence
Reiter-Niesert, Suzanne
Rizzoli, René
Rovati, Lucio
Messi, Eleonora Tajana
Tsouderos, Yannis
Martel-Pelletier, Johanne
Reginster, Jean-Yves ; Université de Liège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
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