References of "Guillemin, F"
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See detailAn algorithm recommendation for the management of knee osteoarthritis in Europe and internationally: A report from a task force of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO)
Bruyère, Olivier ULg; Cooper, C; Pelletier, JP et al

in Seminars in Arthritis & Rheumatism (in press)

Objectives: Existing practice guidelines for osteoarthritis (OA) analyze the evidence behind each proposed treatment but do not prioritize the interventions in a given sequence. The objective was to ... [more ▼]

Objectives: Existing practice guidelines for osteoarthritis (OA) analyze the evidence behind each proposed treatment but do not prioritize the interventions in a given sequence. The objective was to develop a treatment algorithm recommendation that is easier to interpret for the prescribing physician based on the available evidence and that is applicable in Europe and internationally. The knee was used as the model OA joint. Methods: ESCEO assembled a task force of 13 international experts (rheumatologists, clinical epidemiologists, and clinical scientists). Existing guidelines were reviewed; all interventions listed and recent evidence were retrieved using established databases. A first schematic flow chart with treatment prioritization was discussed in a 1-day meeting and shaped to the treatment algorithm. Fine-tuning occurred by electronic communication and three consultation rounds until consensus. Results: Basic principles consist of the need for a combined pharmacological and non-pharmacological treatment with a core set of initial measures, including information access/education, weight loss if overweight, and an appropriate exercise program. Four multimodal steps are then established. Step 1 consists of background therapy, either non-pharmacological (referral to a physical therapist for re-alignment treatment if needed and sequential introduction of further physical interventions initially and at any time thereafter) or pharmacological. The latter consists of chronic Symptomatic Slow-Acting Drugs for OA (e.g., prescription glucosamine sulfate and/or chondroitin sulfate) with paracetamol at-need; topical NSAIDs are added in the still symptomatic patient. Step 2 consists of the advanced pharmacological management in the persistent symptomatic patient and is centered on the use of oral COX-2 selective or non-selective NSAIDs, chosen based on concomitant risk factors, with intra-articular corticosteroids or hyaluronate for further symptom relief if insufficient. In Step 3, the last pharmacological attempts before surgery are represented by weak opioids and other central analgesics. Finally, Step 4 consists of end-stage disease management and surgery, with classical opioids as a difficult-to-manage alternative when surgery is contraindicated. Conclusions: The proposed treatment algorithm may represent a new framework for the development of future guidelines for the management of OA, more easily accessible to physicians. © 2014 The Authors. [less ▲]

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See detailAssessment of determinants for osteoporosis in elderly men.
Scholtissen, Sophie ULg; Guillemin, F.; Bruyère, Olivier ULg et al

in Osteoporosis International (2009), 20(7), 1157-66

SUMMARY: The aim of this cross-sectional study was to determine and quantify some determinants associated to low bone mineral density (BMD) in elderly men. This study showed that ageing, a lower body mass ... [more ▼]

SUMMARY: The aim of this cross-sectional study was to determine and quantify some determinants associated to low bone mineral density (BMD) in elderly men. This study showed that ageing, a lower body mass index (BMI), a higher blood level of C-terminal cross-linking telopeptides of type I collagen (CTX-1), family history of osteoporosis, and/or fracture and prior fracture were associated with bone mineral density. INTRODUCTION: Our aims were to identify some determinants associated to low bone mineral density in men and to develop a simple algorithm to predict osteoporosis. METHODS: A sample of 1,004 men aged 60 years and older was recruited. Biometrical, serological, clinical, and lifestyle determinants were collected. Univariate, multivariate, and logistic regression analyses were performed. Receiver operating characteristic analysis was used to assess the discriminant performance of the algorithm. RESULTS: In the multiple regression analysis, only age, BMI, CTX-1, and family history of osteoporosis and/or fracture were able to predict the femoral neck T-score. When running the procedure with the total hip T-score, prior fracture also appeared to be significant. With the lumbar spine T-score, only age, BMI, and CTX-1 were retained. The best algorithm was based on age, BMI, family history, and CTX-1. A cut-off point of 0.25 yielded a sensibility of 78%, a specificity of 59% with an area under the curve of 0.73 in the development and validation cohorts. CONCLUSION: Ageing, a lower BMI, higher CTX-1, family history, and prior fracture were associated with T-score. Our algorithm is a simple approach to identify men at risk for osteoporosis. [less ▲]

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See detailAssessement of risk factors for osteoporotic fractures in elderly men
Scholtissen, S.; Guillemin, F.; Kemmer, C. et al

in Osteoporosis International (2008, April), 19(Suppl.1), 200-201

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See detailBioencapsulated peptides, proteins, animal cells: Preparation and applications in biomedical fields
Markvicheva, E; Grandfils, Christian ULg; Bezdetnaya, L et al

in Chemistry & Industry (2004), 58 (6a)

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See detailRecommendations for the health economic analysis to be performed with a drug to be registered in prevention or treatment of osteoporosis
Dere, W; Avouac, B; Boers, M et al

in Calcified Tissue International (1998), 63

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