Literature DB >> 10495142

Added value of bone mineral density in hip fracture risk scores.

H Burger1, C E de Laet, A E Weel, A Hofman, H A Pols.   

Abstract

Hip fractures constitute a major health problem. For effective prevention, high-risk groups need to be identified. The objective here was to develop hip fracture risk scores while assessing the added value of bone mineral density relative to more conventional risk indicators. We prospectively followed during 4 years a cohort of 5208 persons (2193 men) aged 55 years and over from the Rotterdam Study, a population-based cohort study conducted in the Netherlands. Risk scores for hip fracture were constructed using several conventional risk indicators requiring interview and anthropometry only, and bone mineral density. During follow-up, 50 persons (14 men) suffered hip fracture. Hip fracture risk was independently determined by age, gender, height, the use of a walking aid, cigarette smoking, and either bone mineral density or weight. We developed two risk scores, with and without bone mineral density. The observed 4-year risk ranged from 3/3389 (0.1%) to 17/169 (10.1%) for the lowest and highest category of the score including bone mineral density, respectively. For the score without bone mineral density, these risks were 8/3117 (0.3%) and 16/144 (11.1%), respectively. The area under the receiver operating characteristic curve indicating discriminatory power was 0.88 for the risk score including, and 0.83 for the score excluding, bone mineral density (p for difference = 0.04). In conclusion, risk scores with and without bone mineral density measurement can be used for hip fracture risk assessment in elderly persons. While the score with bone mineral density has a modestly better performance, the score requiring interview and anthropometry only may be especially useful in primary care settings.

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Year:  1999        PMID: 10495142     DOI: 10.1016/s8756-3282(99)00173-8

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  27 in total

1.  Bone densitometry is not a good predictor of hip fracture.

Authors:  T J Wilkin; D Devendra
Journal:  BMJ       Date:  2001-10-06

2.  Validation of the Cummings' risk score; how well does it identify women with high risk of hip fracture: the Tromsø Study.

Authors:  Luai A Ahmed; Henrik Schirmer; Vinjar Fønnebø; Ragnar M Joakimsen; Gro K Berntsen
Journal:  Eur J Epidemiol       Date:  2006-11-22       Impact factor: 8.082

3.  A simple method for determining the probability a new vertebral fracture is present in postmenopausal women with osteoporosis.

Authors:  J H Krege; K Siminoski; J D Adachi; D A Misurski; P Chen
Journal:  Osteoporos Int       Date:  2005-11-22       Impact factor: 4.507

4.  A FRAX® model for the assessment of fracture probability in Belgium.

Authors:  H Johansson; J A Kanis; E V McCloskey; A Odén; J-P Devogelaer; J-M Kaufman; A Neuprez; M Hiligsmann; O Bruyere; J-Y Reginster
Journal:  Osteoporos Int       Date:  2010-03-30       Impact factor: 4.507

5.  Clinical and panoramic predictors of femur bone mineral density.

Authors:  Stuart C White; Akira Taguchi; David Kao; Sam Wu; Susan K Service; Douglas Yoon; Yoshikazu Suei; Takashi Nakamoto; Keiji Tanimoto
Journal:  Osteoporos Int       Date:  2004-07-27       Impact factor: 4.507

6.  Development of a nomogram for individualizing hip fracture risk in men and women.

Authors:  N D Nguyen; S A Frost; J R Center; J A Eisman; T V Nguyen
Journal:  Osteoporos Int       Date:  2007-03-17       Impact factor: 4.507

7.  The impact of the use of multiple risk indicators for fracture on case-finding strategies: a mathematical approach.

Authors:  Chris De Laet; Anders Odén; Helena Johansson; Olof Johnell; Bengt Jönsson; John A Kanis
Journal:  Osteoporos Int       Date:  2004-07-06       Impact factor: 4.507

8.  FRAX and the assessment of fracture probability in men and women from the UK.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

9.  An approach for identifying postmenopausal women age 50-64 years at increased short-term risk for osteoporotic fracture.

Authors:  Y-T Chen; P D Miller; E Barrett-Connor; T W Weiss; S G Sajjan; E S Siris
Journal:  Osteoporos Int       Date:  2007-04-27       Impact factor: 4.507

10.  Theoretical implications of the biomechanical fracture threshold.

Authors:  Tony M Keaveny; Mary L Bouxsein
Journal:  J Bone Miner Res       Date:  2008-10       Impact factor: 6.741

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