14 research outputs found

    Quality of Life in Sarcopenia and Frailty

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    The reduced muscle mass and impaired muscle performance that define sarcopenia in older individuals are associated with increased risk of physical limitation and a variety of chronic diseases. They may also contribute to clinical frailty. A gradual erosion of quality of life (QoL) has been evidenced in these individuals, although much of this research has been done using generic QoL instruments, particularly the SF-36, which may not be ideal in older populations with significant comorbidities. This review and report of an expert meeting presents the current definitions of these geriatric syndromes (sarcopenia and frailty). It then briefly summarizes QoL concepts and specificities in older populations and examines the relevant domains of QoL and what is known concerning QoL decline with these conditions. It calls for a clearer definition of the construct of disability, argues that a disease-specific QoL instrument for sarcopenia/frailty would be an asset for future research, and discusses whether there are available and validated components that could be used to this end and whether the psychometric properties of these instruments are sufficiently tested. It calls also for an approach using utility weighting to provide some cost estimates and suggests that a time trade-off study could be appropriat

    Recherche et innovation thérapeutique, une ambition partagée

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    Qu’est-ce qu’un médicament ? Comment le fabrique-t-on ? Comment passe-t-on d’un produit de la chimie à l’identification d’une molécule biologiquement active, puis à un nouvel outil thérapeutique ? Comment interagissent, pour atteindre ce but, des équipes de chimistes, de biologistes et de médecins ? Comment la recherche académique et la recherche industrielle collaborent-elles et se complètent-elles ?Autant de questions bien (trop) souvent absentes des cursus universitaires, qu’ils soient scientifiques ou médicaux. C’est pour tenter d’y répondre que Servier, l’Inserm et le CNRS ont accepté de partager leur vision à travers une série de textes que médecine/sciences publiera dans les mois à venir et dont voici les premiers.Les enjeux de cette connaissance sont tout à la fois médicaux, économiques et éthiques. De la chimie à la biologie, de la galénique à la pharmacodynamique, de la physiopathologie à la méthodologie des essais cliniques, l’élaboration d’un médicament puise dans toutes ces disciplines qui participent à l’innovation thérapeutique

    Can we identify patients with high risk of osteoarthritis progression who will respond to treatment? A focus on biomarkers ans frailty

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    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
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