Identification of patient profile for treatment
Identification of patient profile for treatment
The WHO clinical definition of osteoporosis, based on a measurement of bone mineral density (BMD) by Dual Energy X-ray Absorptiometry, has been used globally since the mid-1990s. However, although this definition identifies those at greatest individual risk of fracture, in the population overall a greater total number of fractures occur in individuals with BMD values above the osteoporosis threshold. The inclusion of clinical risk factors, with or without BMD, in fracture prediction algorithms can improve the identification of individuals at high fracture risk; thus a number of web-based tools have been developed, the most commonly used globally being FRAX?. In this review, we will discuss the epidemiology of osteoporosis, clinical risk factors for fragility fracture, and how this knowledge is being used to aid risk stratification. Importantly, research is on-going to demonstrate the clinical efficacy and costeffectiveness of such case-finding strategies.
fracture, epidemiology, bone mineral density, FRAX, Garvan, QFracture, probability
767-782
Moon, Rebecca J.
954fb3ed-9934-4649-886d-f65944985a6b
Harvey, Nicholas C.
ce487fb4-d360-4aac-9d17-9466d6cba145
December 2014
Moon, Rebecca J.
954fb3ed-9934-4649-886d-f65944985a6b
Harvey, Nicholas C.
ce487fb4-d360-4aac-9d17-9466d6cba145
Moon, Rebecca J. and Harvey, Nicholas C.
(2014)
Identification of patient profile for treatment.
Best Practice & Research Clinical Endocrinology & Metabolism, 28 (6), .
(doi:10.1016/j.beem.2014.04.005).
(PMID:25432351)
Abstract
The WHO clinical definition of osteoporosis, based on a measurement of bone mineral density (BMD) by Dual Energy X-ray Absorptiometry, has been used globally since the mid-1990s. However, although this definition identifies those at greatest individual risk of fracture, in the population overall a greater total number of fractures occur in individuals with BMD values above the osteoporosis threshold. The inclusion of clinical risk factors, with or without BMD, in fracture prediction algorithms can improve the identification of individuals at high fracture risk; thus a number of web-based tools have been developed, the most commonly used globally being FRAX?. In this review, we will discuss the epidemiology of osteoporosis, clinical risk factors for fragility fracture, and how this knowledge is being used to aid risk stratification. Importantly, research is on-going to demonstrate the clinical efficacy and costeffectiveness of such case-finding strategies.
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Identification of patient profile for treatment 01042014.docx
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Published date: December 2014
Keywords:
fracture, epidemiology, bone mineral density, FRAX, Garvan, QFracture, probability
Organisations:
Human Development & Health
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Local EPrints ID: 374629
URI: http://eprints.soton.ac.uk/id/eprint/374629
ISSN: 1521-690X
PURE UUID: bed7a047-2aee-4ead-bf5f-eaa0e2f43e0d
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Date deposited: 25 Feb 2015 15:23
Last modified: 15 Mar 2024 03:19
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Author:
Rebecca J. Moon
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