Defining risk thresholds for a 10-year probability of hip fracture model that combines clinical risk factors and quantitative ultrasound: results using the EPISEM cohort.

Détails

ID Serval
serval:BIB_F25481EAC927
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Defining risk thresholds for a 10-year probability of hip fracture model that combines clinical risk factors and quantitative ultrasound: results using the EPISEM cohort.
Périodique
Journal of Clinical Densitometry
Auteur⸱e⸱s
Durosier C., Hans D., Krieg M.A., Schott A.M.
ISSN
1094-6950
Statut éditorial
Publié
Date de publication
2008
Peer-reviewed
Oui
Volume
11
Numéro
3
Pages
397-403
Langue
anglais
Résumé
Using a large prospective cohort of over 12,000 women, we determined 2 thresholds (high risk and low risk of hip fracture) to use in a 10-yr hip fracture probability model that we had previously described, a model combining the heel stiffness index measured by quantitative ultrasound (QUS) and a set of easily determined clinical risk factors (CRFs). The model identified a higher percentage of women with fractures as high risk than a previously reported risk score that combined QUS and CRF. In addition, it categorized women in a way that was quite consistent with the categorization that occurred using dual X-ray absorptiometry (DXA) and the World Health Organization (WHO) classification system; the 2 methods identified similar percentages of women with and without fractures in each of their 3 categories, but the 2 identified only in part the same women. Nevertheless, combining our composite probability model with DXA in a case findings strategy will likely further improve the detection of women at high risk of fragility hip fracture. We conclude that the currently proposed model may be of some use as an alternative to the WHO classification criteria for osteoporosis, at least when access to DXA is limited.
Mots-clé
Absorptiometry, Photon, Aged, Aged, 80 and over, Bone Density, Female, France, Heel, Hip Fractures, Humans, Osteoporosis, Predictive Value of Tests, Probability, Prospective Studies, Risk Assessment, Risk Factors
Pubmed
Web of science
Création de la notice
02/03/2009 13:33
Dernière modification de la notice
20/08/2019 17:19
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