Literature DB >> 21723761

Fracture burden in relation to low bone mineral density and FRAX(®) probability.

William D Leslie1, Suzanne Morin.   

Abstract

Although the risk of fracture increases exponentially with declining bone mineral density, most fragility fractures have been shown to occur in individuals who do not meet the conventional densitometric definition for osteoporosis. The World Health Organization fracture risk assessment tool (FRAX(®)) estimates individual 10-yr major osteoporotic and hip fracture probabilities. Intervention criteria based on risk assessment have been proposed by several groups, including the National Osteoporosis Foundation (NOF). We determined the relationship between 10-yr fracture probability and subsequent fracture burden in 36,730 women and 2873 men aged 50yr and older. Using a major fracture probability cutoff of 20%, 29.4% of major osteoporotic fractures were identified in women and 4.9% in men. Based on a hip fracture probability cutoff of 3%, 54.1% of major osteoporotic fractures were detected in women and 53.4% in men. Using all NOF criteria, 65.9% of major osteoporotic fractures were detected in women and 69.3% in men. We conclude that men and women with FRAX probabilities below the high-risk NOF cutoffs have a high burden of major osteoporotic fractures. Strategies to enhance risk stratification in this group should be developed through international collaborations.
Copyright © 2011 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21723761     DOI: 10.1016/j.jocd.2011.04.010

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.617


  7 in total

Review 1.  Assessment of fracture risk.

Authors:  Sanford Baim; William D Leslie
Journal:  Curr Osteoporos Rep       Date:  2012-03       Impact factor: 5.096

2.  Interactive graph-cut segmentation for fast creation of finite element models from clinical ct data for hip fracture prediction.

Authors:  Yves Pauchard; Thomas Fitze; Diego Browarnik; Amiraslan Eskandari; Irene Pauchard; William Enns-Bray; Halldór Pálsson; Sigurdur Sigurdsson; Stephen J Ferguson; Tamara B Harris; Vilmundur Gudnason; Benedikt Helgason
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-05-10       Impact factor: 1.763

3.  Population screening for fracture risk in postmenopausal women - a logical step in reducing the osteoporotic fracture burden?

Authors:  E V McCloskey; P Chotiyarnwong; N C Harvey; M Lorentzon; J A Kanis
Journal:  Osteoporos Int       Date:  2022-06-28       Impact factor: 5.071

4.  Is it time to consider population screening for fracture risk in postmenopausal women? A position paper from the International Osteoporosis Foundation Epidemiology/Quality of Life Working Group.

Authors:  P Chotiyarnwong; E V McCloskey; N C Harvey; M Lorentzon; D Prieto-Alhambra; B Abrahamsen; J D Adachi; F Borgström; O Bruyere; J J Carey; P Clark; C Cooper; E M Curtis; E Dennison; M Diaz-Curiel; H P Dimai; D Grigorie; M Hiligsmann; P Khashayar; E M Lewiecki; P Lips; R S Lorenc; S Ortolani; A Papaioannou; S Silverman; M Sosa; P Szulc; K A Ward; N Yoshimura; J A Kanis
Journal:  Arch Osteoporos       Date:  2022-06-28       Impact factor: 2.879

5.  Were you identified to be at high fracture risk by FRAX® before your osteoporotic fracture occurred?

Authors:  Xiao-feng Chen; Xiao-lin Li; Hui Zhang; Ge-jun Liu
Journal:  Clin Rheumatol       Date:  2014-02-28       Impact factor: 2.980

Review 6.  Risk Assessment Tools for Osteoporosis Screening in Postmenopausal Women: A Systematic Review.

Authors:  Carolyn J Crandall
Journal:  Curr Osteoporos Rep       Date:  2015-10       Impact factor: 5.096

7.  Potential Extensions of the US FRAX Algorithm.

Authors:  L Joseph Melton; Elizabeth J Atkinson; Sara J Achenbach; John A Kanis; Terry M Therneau; Helena Johansson; Sundeep Khosla; Shreyasee Amin
Journal:  J Osteoporos       Date:  2012-08-15
  7 in total

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