References of "Johansson, H"
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See detailEuropean guidance for the diagnosis and management of osteoporosis in postmenopausal women.
Kanis, J. A.; McCloskey, E. V.; Johansson, H. et al

in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA (2013), 24(1), 23-57

Guidance is provided in a European setting on the assessment and treatment of postmenopausal women at risk of fractures due to osteoporosis. INTRODUCTION: The International Osteoporosis Foundation and ... [more ▼]

Guidance is provided in a European setting on the assessment and treatment of postmenopausal women at risk of fractures due to osteoporosis. INTRODUCTION: The International Osteoporosis Foundation and European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis published guidance for the diagnosis and management of osteoporosis in 2008. This manuscript updates these in a European setting. METHODS: Systematic literature reviews. RESULTS: The following areas are reviewed: the role of bone mineral density measurement for the diagnosis of osteoporosis and assessment of fracture risk, general and pharmacological management of osteoporosis, monitoring of treatment, assessment of fracture risk, case finding strategies, investigation of patients and health economics of treatment. CONCLUSIONS: A platform is provided on which specific guidelines can be developed for national use. [less ▲]

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See detailA FRAX(R) model for the assessment of fracture probability in Belgium.
Johansson, H.; Kanis, J. A.; McCloskey, E. V. et al

in Osteoporosis International (2011), 22(2), 453-61

A country-specific FRAX(R) model was developed from the epidemiology of fracture and death in Belgium. Fracture probabilities were identified that corresponded to currently accepted reimbursement ... [more ▼]

A country-specific FRAX(R) model was developed from the epidemiology of fracture and death in Belgium. Fracture probabilities were identified that corresponded to currently accepted reimbursement thresholds. INTRODUCTION: The objective of this study was to evaluate a Belgian version of the WHO fracture risk assessment (FRAX(R)) tool to compute 10-year probabilities of osteoporotic fracture in men and women. A particular aim was to determine fracture probabilities that corresponded to the reimbursement policy for the management of osteoporosis in Belgium and the clinical scenarios that gave equivalent fracture probabilities. METHODS: Fracture probabilities were computed from published data on the fracture and death hazards in Belgium. Probabilities took account of age, sex, the presence of clinical risk factors and femoral neck bone mineral density (BMD). Fracture probabilities were determined that were equivalent to intervention (reimbursement) thresholds currently used in Belgium. RESULTS: Fracture probability increased with age, lower BMI, decreasing BMD T-score and all clinical risk factors used alone or combined. The 10-year probabilities of a major osteoporosis-related fracture that corresponded to current reimbursement guidelines ranged from approximately 7.5% at the age of 50 years to 26% at the age of 80 years where a prior fragility fracture was used as an intervention threshold. For women at the threshold of osteoporosis (femoral neck T-score = -2.5 SD), the respective probabilities ranged from 7.4% to 15%. Several combinations of risk-factor profiles were identified that gave similar or higher fracture probabilities than those currently accepted for reimbursement in Belgium. CONCLUSIONS: The FRAX(R) tool has been used to identify possible thresholds for therapeutic intervention in Belgium, based on equivalence of risk with current guidelines. The FRAX(R) model supports a shift from the current DXA-based intervention strategy, towards a strategy based on fracture probability of a major osteoporotic fracture that in turn may improve identification of patients at increased fracture risk. The approach will need to be supported by health economic analyses. [less ▲]

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See detailA FRAX® model for the assessment of fracture probability in Belgium
Neuprez, Audrey ULg; Johansson, H.; Kanis, J. et al

in Osteoporosis International (2010, May), 21(Suppl.1), 255

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See detailRationalisation du remboursement des médicaments de l'ostéoporose : de la mesure isolée de la densité osseuse à l’intégration des facteurs cliniques de risque fracturaire. Validation de l’algorithme FRAX®
Neuprez, Audrey ULg; Johansson, H.; Kanis, J. et al

in Revue Médicale de Liège (2009), 64(12), 612-619

RESUME : Cette étude a pour but d’adapter à la population belge l’algorithme FRAX® récemment publié par l’Organisation Mondiale de la Santé (OMS) et permettant de calculer, dans les deux sexes, le risque ... [more ▼]

RESUME : Cette étude a pour but d’adapter à la population belge l’algorithme FRAX® récemment publié par l’Organisation Mondiale de la Santé (OMS) et permettant de calculer, dans les deux sexes, le risque absolu de fractures ostéoporotiques, à 10 ans. Nous nous sommes attachés à quantifier le risque fracturaire correspondant aux critères actuellement appliqués, en Belgique, pour le remboursement des médicaments de l’ostéoporose et à identifier les situations cliniques correspondant à une probabilité équivalente de fracture. Les probabilités fracturaires ont été calculées, à partir des incidences de fractures et de décès publiées, pour la population belge. Ces probabilités prennent en considération l’âge, le sexe, l’existence de facteurs cliniques de risque (FCR) et la densité minérale osseuse (DMO), mesurée au niveau de la zone propre du col fémoral. L’algorithme FRAX® permet d’identifier différents scénarios d’intervention, en Belgique, correspondant à un risque fracturaire identique ou supérieur à celui servant de base aux critères actuels de remboursement des médicaments. Il est donc possible de recommander une modification des attitudes actuelles, délaissant une stratégie basée sur une évaluation dichotomique de la DMO, au profit d’une intégration progressive des FCR qui permettra, in fine, une meilleure identification des patients à risque accru de fracture. Cette approche devra être substantiée par des analyses pharmaco-économiques appropriées. [less ▲]

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See detailFRAX(r) and the assessment of fracture probability in men and women from Belgium.
Reginster, Jean-Yves ULg; Devogelaer, Jean-Pierre; Hiligsmann, Mickaël ULg et al

in Osteoporosis International (2009, March), 20(Suppl.1), 38-39

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