Rationalisation 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; Johansson, H.; Kanis, J.et al.
2009 • In Revue Médicale de Liège, 64 (12), p. 612-619
Fracture ostéoporotique; Fracture de la hanche; Facteurs cliniques de risque; Probabilité de fracture; FRAX®; Epidémiologie; Osteoporotic fracture; Hip fracture; Clinical risk factors; 10-year fracture probability
Abstract :
[fr] 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.
Disciplines :
Public health, health care sciences & services General & internal medicine
Author, co-author :
Neuprez, Audrey ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Johansson, H.
Kanis, J.
McCloskey, E. V.
Oden, A.
Bruyère, Olivier ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Hiligsmann, Mickaël ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Devogelaer, Jean-Pierre
Kaufmann, J.-M.
Reginster, Jean-Yves ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Language :
French
Title :
Rationalisation 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®
Alternative titles :
[en] A FRAX model for the assessment of fracture probability in Belgium
Publication date :
December 2009
Journal title :
Revue Médicale de Liège
ISSN :
0370-629X
eISSN :
2566-1566
Publisher :
Hopital de Baviere, Liège, Belgium
Volume :
64
Issue :
12
Pages :
612-619
Peer reviewed :
Peer reviewed
Commentary :
SUMMARY : The objective of this study was to evaluate a Belgian version of the WHO fracture risk assessment (FRAX®) 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. 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 BMD. Fracture probabilities were determined that were equivalent to intervention (reimbursement) thresholds currently used in Belgium. Fracture probability increased with age, lower BMI, decreasing BMD T-Score, and all clinical risk factors used alone or combined. The FRAX® tool has been used to identify possible thresholds for therapeutic intervention in Belgium, based on equivalence of risk with current guidelines. The FRAX® 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.
Kanis JA, Melton LJ, Christiansen C, et al.- The diagnosis of osteoporosis. J Bone Miner Res, 1994, 9, 1137-1141.
Looker AC, Wahner HW, Dunn WL, et al.- Updated data on proximal femur bone mineral levels of US adults. Osteoporos Int, 1998, 8, 468-489.
Kanis JA, McCloskey EV, Johansson H, et al.- A reference standard for the description of osteoporosis. Bone, 2008, 42, 467-475.
Goemaere S, Vanderschueren D, Kaufman JM, et al.- Dual energy x-ray absorptiometry-based assessment of male patients using standardized bone density values and a national reference database. J Clin Densitom, 2007, 10, 25-33.
Boonen S, Kaufman JM, Reginster JY, Devogelaer JP.- Patient assessment using standardized bone mineral density values and a national reference database: implementing uniform thresholds for the reimbursement of osteoporosis treatments in Belgium. Osteoporos Int, 2003, 14, 110-115.
Kanis JA, Delmas P, Burckhardt P, et al.- Guidelines for diagnosis and management of osteoporosis. The European Foundation for Osteoporosis and Bone Disease. Osteoporos Int, 1997, 7, 390-406.
Kanis JA.- Assessment of osteoporosis at the primary health-care level. Technical Report. University of Sheffield, UK 2008.
European Community.- Report on osteoporosis in the European Community. EC, Strasbourg 1998.
Royal College of Physicians. Osteoporosis : clinical guidelines for the prevention and treatment. Royal College of Physicians, London 1999.
Kanis JA, Johnell O, Oden A, et al.- Risk of hip fracture according to the World Health Organization criteria for osteopenia and osteoporosis. Bone, 2000, 27, 585-590.
Schuit SC, van der Klift M, Weel AE, et al.- Fracture incidence and association with bone mineral density in elderly men and women : the Rotterdam Study. Bone, 2004, 34, 195-202.
Siris ES, Miller PD, Barrett-Connor E, et al.- Identification and fracture outcomes of undiagnosed low bone mineral density in postmenopausal women: results from the National Osteoporosis Risk Assessment. JAMA, 2001, 286, 2815-2822.
Kanis JA, Oden A, Johnell O, et al.- The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women. Osteoporos Int, 2007, 18, 1033-1046.
Kanis JA, Johnell O, Oden A, et al.- FRAX® and the assessment of fracture probability in men and women from the UK. Osteoporos Int, 2008, 19, 385-397.
Kanis JA, Johnell O, De Laet C, et al.- International variations in hip fracture probabilities : implications for risk assessment. J Bone Miner Res, 2002, 17, 1237-1244.
Kanis JA, McCloskey EV, Johansson H, et al.- Case finding for the management of osteoporosis with FRAX-assessment and intervention thresholds for the UK. Osteoporos Int, 2008, 19, 1395-1408.
Dawson-Hughes B, Tosteson AN, Melton LJ, et al.- Implications of absolute fracture risk assessment for osteoporosis practice guidelines in the USA. Osteoporos Int, 2008, 19, 449-458.
Fujiwara S, Nakamura T, Orimo H, et al.- Development and application of a Japanese model of the WHO fracture risk assessment tool (FRAX® ). Osteoporos Int, 2008, 19, 429-435.
Lippuner K, Johansson H, Kanis JA, Rizzoli R.- Remaining lifetime and absolute 10-year probabilities of osteoporotic fracture in Swiss men and women. Osteoporos Int, 2009, 20, 1131-1140.
Hiligsmann M, Bruyere O, Ethgen O, et al.- Lifetime absolute risk of hip and other osteoporotic fracture in Belgian women. Bone, 2008, 43, 991-994.
United Nations population division.- World population prospects: the 2002 revision and world urban propspects. Population and division of the Dept Economic and Social Affairs of the UN Secretariat 2003.
Kanis JA, Oden A, Johnell O, et al.- The burden of osteoporotic fractures : a method for setting intervention thresholds. Osteoporos Int, 2001, 12, 417-427.
De Laet C, Kanis JA, Oden A, et al.- Body mass index as a predictor of fracture risk : a meta-analysis. Osteoporos Int, 2005, 16, 1330-1338.
Kanis JA, Oden A, Johansson H, et al.- FRAX and its applications to clinical practice. Bone, 2009, 44, 734-743.
Johansson A, et al.- FRAX® ett stöd för frakturprevention. 2009.
Black DM, Steinbuch M, Palermo L, et al.- An assessment tool for predicting fracture risk in postmenopausal women. Osteoporos Int, 2001, 12, 519-528.
Burger H, de Laet CE, Weel AE, et al.- Added value of bone mineral density in hip fracture risk scores. Bone, 1999, 25, 369-374.
Albrand G, Munoz F, Sornay-Rendu E, et al.- Independent predictors of all osteoporosis-related fractures in healthy postmenopausal women : the OFELY study. Bone, 2003, 32, 78-85.
Carroll J, Testa MA, Erat K, et al.- Modeling fracture risk using bone density, age, and years since menopause. Am J Prev Med, 1997, 13, 447-452.
Dargent-Molina P, Douchin MN, Cormier C, et al.- Use of clinical risk factors in elderly women with low bone mineral density to identify women at higher risk of hip fracture : The EPIDOS prospective study. Osteoporos Int, 2002, 13, 593-599.
Girman CJ, Chandler JM, Zimmerman SI, et al.- Prediction of fracture in nursing home residents. J Am Geriatr Soc, 2002, 50, 1341-1347.
Honkanen RJ, Honkanen K, Kroger H, et al.- Risk factors for perimenopausal distal forearm fracture. Osteoporos Int, 2000, 11, 265-270.
Leslie WD, Metge C, Salamon EA, Yuen CK.- Bone mineral density testing in healthy postmenopausal women. The role of clinical risk factor assessment in determining fracture risk. J Clin Densitom, 2002, 5, 117-130.
Miller PD, Barlas S, Brenneman SK, et al.- An approach to identifying osteopenic women at increased short-term risk of fracture. Arch Intern Med, 2004, 164, 1113-1120.
Westfall G, Littlefield R, Heaton A, Martin S.- Methodology for identifying patients at high risk for osteoporotic fracture. Clin Ther, 2001, 23, 1570-1588.
Colon-Emeric CS, Pieper CF, Artz MB.- Can historical and functional risk factors be used to predict fractures in community-dwelling older adults? development and validation of a clinical tool. Osteoporos Int, 2002, 13, 955-961.
van Staa TP, Leufkens HG, Cooper C.- Utility of medical and drug history in fracture risk prediction among men and women. Bone, 2002, 31, 508-514.
van Staa TP, Geusens P, Pols HA, et al.- A simple score for estimating the long-term risk of fracture in patients using oral glucocorticoids. QJM, 2005, 98, 191-198.
McGrother CW, Donaldson MM, Clayton D, et al.- Evaluation of a hip fracture risk score for assessing elderly women : the Melton Osteoporotic Fracture (MOF) study. Osteoporos Int, 2002, 13, 89-96.
Walter LC, Lui LY, Eng C, Covinsky KE.- Risk of hip fracture in disabled community-living older adults. J Am Geriatr Soc, 2003, 51, 50-55.
Nguyen ND, Frost SA, Center JR, et al.- Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks. Osteoporos Int, 2008, 19, 1431-1444.
Johansson H, Kanis JA, Oden A, et al.- BMD, clinical risk factors and their combination for hip fracture prevention. Osteoporos Int, 2009, Epub ahead of print.