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W D Leslie, L M Lix
The suboptimal performance of bone mineral density as the sole predictor of fracture risk and treatment decision making has led to the development of risk prediction algorithms that estimate fracture probability using multiple risk factors for fracture, such as demographic and physical characteristics, personal and family history, other health conditions, and medication use. We review theoretical aspects for developing and validating risk assessment tools, and illustrate how these principles apply to the best studied fracture probability tools: the World Health Organization FRAX®, the Garvan Fracture Risk Calculator, and the QResearch Database's QFractureScores...
January 2014: Osteoporosis International
Ernest K Poku, Mark R Towler, Niamh M Cummins, Jeff D Newman
Multivariate prediction algorithms such as FRAX® and QFractureScores provide an opportunity for new prognostic biomarkers to be developed and incorporated, potentially leading to better fracture prediction. As more research is conducted into these novel biomarkers, a number of factors need to be considered for their successful development for inclusion in these algorithms. In this review, we describe two well-known multivariate prediction algorithms for osteoporosis fracture risk applicable to the UK population, FRAX and QFractureScores, and comment on the current prognostic tools available for fracture risk; dual X-ray assessment, quantitative ultrasonography, and genomic/biochemical markers...
September 2012: Calcified Tissue International
Gary S Collins, Susan Mallett, Douglas G Altman
OBJECTIVE: To evaluate the performance of the QFractureScores for predicting the 10 year risk of osteoporotic and hip fractures in an independent UK cohort of patients from general practice records. DESIGN: Prospective cohort study. SETTING: 364 UK general practices contributing to The Health Improvement Network (THIN) database. PARTICIPANTS: 2.2 million adults registered with a general practice between 27 June 1994 and 30 June 2008, aged 30-85 (13 million person years), with 25,208 osteoporotic fractures and 12,188 hip fractures...
June 22, 2011: BMJ: British Medical Journal
N M Cummins, E K Poku, M R Towler, O M O'Driscoll, S H Ralston
Recently two algorithms have become available to estimate the 10-year probability of fracture in patients suspected to have osteoporosis on the basis of clinical risk factors: the FRAX algorithm and QFractureScores algorithm (QFracture). The aim of this study was to compare the performance of these algorithms in a study of fracture patients and controls recruited from six centers in the United Kingdom and Ireland. A total of 246 postmenopausal women aged 50-85 years who had recently suffered a low-trauma fracture were enrolled and their characteristics were compared with 338 female controls who had never suffered a fracture...
August 2011: Calcified Tissue International
Julia Hippisley-Cox, Carol Coupland
OBJECTIVE: To develop and validate two new fracture risk algorithms (QFractureScores) for estimating the individual risk of osteoporotic fracture or hip fracture over 10 years. DESIGN: Prospective open cohort study with routinely collected data from 357 general practices to develop the scores and from 178 practices to validate the scores. SETTING: General practices in England and Wales. PARTICIPANTS: 1 183 663 women and 1 174 232 men aged 30-85 in the derivation cohort, who contributed 7 898 208 and 8 049 306 person years of observation, respectively...
November 19, 2009: BMJ: British Medical Journal
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