Literature DB >> 15777673

Low BMD is less predictive than reported falls for future limb fractures in women across Europe: results from the European Prospective Osteoporosis Study.

S Kaptoge1, L I Benevolenskaya, A K Bhalla, J B Cannata, S Boonen, J A Falch, D Felsenberg, J D Finn, R Nuti, K Hoszowski, R Lorenc, T Miazgowski, I Jajic, G Lyritis, P Masaryk, M Naves-Diaz, G Poor, D M Reid, C Scheidt-Nave, J J Stepan, C J Todd, K Weber, A D Woolf, D K Roy, M Lunt, S R Pye, T W O'neill, A J Silman, J Reeve.   

Abstract

We have previously shown that center- and sex-specific fall rates explained one-third of between-center variation in upper limb fractures across Europe. In this current analysis, our aim was to determine how much of the between-center variation in fractures could be attributed to repeated falling, bone mineral density (BMD), and other risk factors in individuals, and to compare the relative contributions of center-specific BMD vs. center-specific fall rates. A clinical history of fracture was assessed prospectively in 2451 men and 2919 women aged 50-80 from 20 centers participating in the European Prospective Osteoporosis Study (EPOS) using standardized questionnaires (mean follow-up = 3 years). Bone mineral density (BMD, femoral neck, trochanter, and/or spine) was measured in 2103 men and 2565 women at these centers. Cox regression was used to model the risk of incident fracture as a function of the person-specific covariates: age, BMD, personal fracture history (PFH), family hip fracture history (FAMHIP), time spent walking/cycling, number of 'all falls' and falls not causing fracture ('fracture-free') during follow-up, alcohol consumption, and body mass index. Center effects were modeled by inclusion of multiplicative gamma-distributed random effects, termed center-shared frailty (CSF), with mean 1 and finite variance theta (theta) acting on the hazard rate. The relative contributions of center-specific fall risk and center-specific BMD on the incidence of limb fractures were evaluated as components of CSF. In women, the risk of any incident nonspine fracture (n = 190) increased with age, PFH, FAMHIP, > or =1 h/day walking/cycling, and number of 'all falls' during follow-up (all P < 0.074). 'Fracture-free' falls (P = 0.726) and femoral neck BMD did not have a significant effect at the individual level, but there was a significant center-shared frailty effect (theta = 0.271, P = 0.001) that was reduced by 4% after adjusting for mean center BMD and reduced by 19% when adjusted for mean center fall rate. Femoral trochanter BMD was a significant determinant of lower limb fractures (n = 53, P = 0.014) and the center-shared frailty effect was significant for upper limb fractures (theta = 0.271, P = 0.011). This upper limb fracture center effect was unchanged after adjusting for mean center BMD but was reduced by 36% after adjusting for center mean fall rates. In men, risk of any nonspine fracture (n = 75) increased with PFH, fall during follow-up (P < 0.026), and with a decrease in trochanteric BMD [RR 1.38 (1.08, 1.79) per 1 SD decrease]. There was no center effect evident (theta = 0.081, P = 0.096). We conclude that BMD alone cannot be validly used to discriminate between the risk of upper limb fractures across populations without taking account of population-specific variations in fall risk and other factors. These variations might reflect shared environmental or possibly genetic factors that contribute quite substantially to the risk of upper limb fractures in women.

Entities:  

Mesh:

Year:  2005        PMID: 15777673     DOI: 10.1016/j.bone.2004.11.012

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


  37 in total

1.  A poisson process model for hip fracture risk.

Authors:  Zvi Schechner; Gangming Luo; Jonathan J Kaufman; Robert S Siffert
Journal:  Med Biol Eng Comput       Date:  2010-06-04       Impact factor: 2.602

2.  Ten-year prediction of osteoporosis from baseline bone mineral density: development of prognostic thresholds in healthy postmenopausal women. The Danish Osteoporosis Prevention Study.

Authors:  Bo Abrahamsen; Lars Rejnmark; Stig Pors Nielsen; Bo Rud; Nis Nissen; Leif Mosekilde; Olaf Bärenholdt; Jens-Erik Beck Jensen
Journal:  Osteoporos Int       Date:  2005-09-10       Impact factor: 4.507

3.  Combined Measures of Dynamic Bone Quality and Postural Balance--A Fracture Risk Assessment Approach in Osteoporosis.

Authors:  Amit Bhattacharya; Nelson B Watts; Alok Dwivedi; Rakesh Shukla; Ashutosh Mani; Dima Diab
Journal:  J Clin Densitom       Date:  2015-04-30       Impact factor: 2.617

4.  The influence of the genetic and non-genetic factors on bone mineral density and osteoporotic fractures in Chinese women.

Authors:  Yan-Hua Deng; Lin Zhao; Min-Jia Zhang; Chun-Ming Pan; Shuang-Xia Zhao; Hong-Yan Zhao; Li-Hao Sun; Bei Tao; Huai-Dong Song; Wei-Qing Wang; Guang Ning; Jian-Min Liu
Journal:  Endocrine       Date:  2012-07-14       Impact factor: 3.633

5.  Risk factors for nonvertebral fracture in obese older women.

Authors:  M O Premaor; K Ensrud; L Lui; R A Parker; J Cauley; T A Hillier; S Cummings; J E Compston
Journal:  J Clin Endocrinol Metab       Date:  2011-06-15       Impact factor: 5.958

6.  Microarchitecture and bone quality in the human calcaneus: local variations of fabric anisotropy.

Authors:  Mohammad F Souzanchi; Paolo Palacio-Mancheno; Yury A Borisov; Luis Cardoso; Stephen C Cowin
Journal:  J Bone Miner Res       Date:  2012-12       Impact factor: 6.741

7.  Reactive oxygen species on bone mineral density and mechanics in Cu,Zn superoxide dismutase (Sod1) knockout mice.

Authors:  Michael J Smietana; Ellen M Arruda; John A Faulkner; Susan V Brooks; Lisa M Larkin
Journal:  Biochem Biophys Res Commun       Date:  2010-11-05       Impact factor: 3.575

8.  Influence of fall related factors and bone strength on fracture risk in the frail elderly.

Authors:  P N Sambrook; I D Cameron; J S Chen; R G Cumming; S R Lord; L M March; J Schwarz; M J Seibel; J M Simpson
Journal:  Osteoporos Int       Date:  2007-01-10       Impact factor: 4.507

9.  Utilization of DXA Bone Mineral Densitometry in Ontario: An Evidence-Based Analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2006-11-01

10.  Assessing forearm fracture risk in postmenopausal women.

Authors:  L J Melton; D Christen; B L Riggs; S J Achenbach; R Müller; G H van Lenthe; S Amin; E J Atkinson; S Khosla
Journal:  Osteoporos Int       Date:  2009-08-28       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.