Literature DB >> 17129177

Changes to osteoporosis prevalence according to method of risk assessment.

J Brent Richards1, William D Leslie, Lawrence Joseph, Kerry Siminoski, David A Hanley, Jonathan D Adachi, Jacques P Brown, Suzanne Morin, Alexandra Papaioannou, Robert G Josse, Jerilynn C Prior, K Shawn Davison, Alan Tenenhouse, David Goltzman.   

Abstract

UNLABELLED: The impact of clinical risk factor-based absolute risk methods on the prevalence of high risk for osteoporotic fracture is unknown. We applied absolute risk methods to 6646 subjects and found that the prevalence of elderly women deemed to be at high risk increased substantially, whereas the overall prevalence was highly dependent on the threshold used to designate high risk.
INTRODUCTION: Many groups have advocated using absolute risk methods that incorporate clinical risk factors to target patients for osteoporosis therapy. We examined how the application of such absolute risk classification systems influences the prevalence of those considered to be at high risk for osteoporotic fracture and compared these systems to one based solely on BMD.
MATERIALS AND METHODS: Using 6646 subjects from the Canadian Multicentre Osteoporosis Study (CaMos), a prospective, randomly selected, population-based cohort, we assessed three different systems for determining prevalence of high risk for osteoporotic fracture: a BMD-based system; a simplified risk factor system incorporating age, sex, BMD, and two clinical risk factors; and a comprehensive system, incorporating age, sex, BMD, and seven clinical risk factors. The 10-year absolute risks of incident fragility fracture were compared across systems using three different high-risk thresholds.
RESULTS: The prevalence of a T score < or = -2.5 was 18.8% (95% CI: 17.7-19.9%) in women and 3.9% (95% CI: 3.0-4.7%) in men. Using a 15% 10-year risk of fracture threshold, the prevalence of women at high risk increased to 46.9% (95% CI: 45.4-48.4) and 42.5% (95% CI: 41.1-43.9) when the comprehensive and simplified risk factor classification systems were used, respectively. Using a 25% 10-year absolute risk threshold, the prevalence of high risk was similar to that of the BMD-based system, whereas the 20% threshold gave intermediate rates. All thresholds analyzed resulted in an increased prevalence of older women at high risk for fracture, whereas only the 15% 10-year risk of fracture threshold resulted in an increase in the prevalence of men at high risk.
CONCLUSIONS: The application of risk factor-based systems results in an increased prevalence of older women at high risk. The prevalence of individuals at high risk may increase with changes to the methods used to determine those who are eligible for therapy. These data have important implications for the pattern of care and costs of treating osteoporotic fractures.

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Year:  2007        PMID: 17129177     DOI: 10.1359/jbmr.061109

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  20 in total

1.  Hip fracture risk in older US adults by treatment eligibility status based on new National Osteoporosis Foundation guidance.

Authors:  A C Looker; B Dawson-Hughes; A N A Tosteson; H Johansson; J A Kanis; L J Melton
Journal:  Osteoporos Int       Date:  2010-05-18       Impact factor: 4.507

2.  Relationships between serum adiponectin and bone density, adiposity and calcified atherosclerotic plaque in the African American-Diabetes Heart Study.

Authors:  Thomas C Register; Jasmin Divers; Donald W Bowden; J Jeffrey Carr; Leon Lenchik; Lynne E Wagenknecht; R Caresse Hightower; Jianzhao Xu; S Carrie Smith; Keith A Hruska; Carl D Langefeld; Barry I Freedman
Journal:  J Clin Endocrinol Metab       Date:  2013-03-29       Impact factor: 5.958

3.  Fracture prediction and calibration of a Canadian FRAX® tool: a population-based report from CaMos.

Authors:  L-A Fraser; L Langsetmo; C Berger; G Ioannidis; D Goltzman; J D Adachi; A Papaioannou; R Josse; C S Kovacs; W P Olszynski; T Towheed; D A Hanley; S M Kaiser; J Prior; S Jamal; N Kreiger; J P Brown; H Johansson; A Oden; E McCloskey; J A Kanis; W D Leslie
Journal:  Osteoporos Int       Date:  2010-12-16       Impact factor: 4.507

4.  Construction of a FRAX® model for the assessment of fracture probability in Canada and implications for treatment.

Authors:  W D Leslie; L M Lix; L Langsetmo; C Berger; D Goltzman; D A Hanley; J D Adachi; H Johansson; A Oden; E McCloskey; J A Kanis
Journal:  Osteoporos Int       Date:  2010-12-16       Impact factor: 4.507

5.  A comparison of prediction models for fractures in older women: is more better?

Authors:  Kristine E Ensrud; Li-Yung Lui; Brent C Taylor; John T Schousboe; Meghan G Donaldson; Howard A Fink; Jane A Cauley; Teresa A Hillier; Warren S Browner; Steven R Cummings
Journal:  Arch Intern Med       Date:  2009-12-14

6.  Estimates of the proportion of older white women who would be recommended for pharmacologic treatment by the new U.S. National Osteoporosis Foundation Guidelines.

Authors:  Meghan G Donaldson; Peggy M Cawthon; Li-Yung Lui; John T Schousboe; Kristine E Ensrud; Brent C Taylor; Jane A Cauley; Teresa A Hillier; Dennis M Black; Doug C Bauer; Steven R Cummings
Journal:  J Bone Miner Res       Date:  2009-04       Impact factor: 6.741

7.  Estimation of absolute fracture risk among middle-aged and older men and women: the EPIC-Norfolk population cohort study.

Authors:  Alireza Moayyeri; Stephen Kaptoge; Robert N Luben; Nicholas J Wareham; Sheila Bingham; Jonathan Reeve; Kay Tee Khaw
Journal:  Eur J Epidemiol       Date:  2009-04-07       Impact factor: 8.082

Review 8.  [Screening for osteoporosis].

Authors:  C Kasperk
Journal:  Radiologe       Date:  2008-01       Impact factor: 0.635

Review 9.  Osteoporosis epidemiology update.

Authors:  Zoe A Cole; Elaine M Dennison; Cyrus Cooper
Journal:  Curr Rheumatol Rep       Date:  2008-04       Impact factor: 4.592

10.  Vertebral fracture status and the World Health Organization risk factors for predicting osteoporotic fracture risk.

Authors:  Peiqi Chen; John H Krege; Jonathan D Adachi; Jerilynn C Prior; Alan Tenenhouse; Jacques P Brown; Emmanuel Papadimitropoulos; Nancy Kreiger; Wojciech P Olszynski; Robert G Josse; David Goltzman
Journal:  J Bone Miner Res       Date:  2009-03       Impact factor: 6.741

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