Literature DB >> 28960489

Evaluation of Radius Microstructure and Areal Bone Mineral Density Improves Fracture Prediction in Postmenopausal Women.

Emmanuel Biver1, Claire Durosier-Izart1, Thierry Chevalley1, Bert van Rietbergen2, René Rizzoli1, Serge Ferrari1.   

Abstract

A majority of low-trauma fractures occur in subjects with only moderate decrease of areal bone mineral density (aBMD), ie, osteopenia, assessed by dual-energy X-ray absorptiometry (DXA) or low fracture probability assessed by FRAX. We investigated whether peripheral bone microstructure and estimated strength improve the prediction of incident fractures beyond central DXA and FRAX. In this population-based study of 740 postmenopausal women (aged 65.0 ± 1.4 years) from the Geneva Retirees Cohort (ISRCTN registry 11865958), we assessed at baseline cortical (Ct) and trabecular (Tb) volumetric bone mineral density (vBMD) and microstructure by peripheral quantitative computed tomography (HR-pQCT); bone strength by micro-finite element analysis; aBMD and trabecular bone score (TBS) by DXA; and FRAX fracture probability. Eighty-five low-trauma fractures occurred in 68 women over a follow-up of 5.0 ± 1.8 years. Tb and Ct vBMD and microstructure predicted incident fractures, independently of each other and of femoral neck (FN) aBMD and FRAX (with BMD ± TBS). However, the associations were markedly attenuated after adjustment for ultra-distal radius aBMD (same bone site). The best discrimination between women with and without fracture was obtained at the radius with total vBMD, the combination of a Tb with a Ct parameter, or with failure load, which improved the area under the curve (AUC) for major osteoporotic fracture when added to FN aBMD (0.760 versus 0.695, p = 0.022) or to FRAX-BMD (0.759 versus 0.714, p = 0.015). The replacement of failure load by ultra-distal aBMD did not significantly decrease the AUC (0.753, p = 0.747 and 0.750, p = 0.509, respectively). In conclusion, peripheral bone microstructure and strength improve the prediction of fractures beyond central DXA and FRAX but are partially captured in aBMD measured by DXA at the radius. Because HR-pQCT is not widely available for clinical purposes, assessment of ultra-distal radius aBMD by DXA may meanwhile improve fracture risk estimation.
© 2017 American Society for Bone and Mineral Research. © 2017 American Society for Bone and Mineral Research.

Entities:  

Keywords:  BONE QCT/µCT; FRACTURE RISK ASSESSMENT; GENERAL POPULATION STUDIES; OSTEOPOROSIS

Mesh:

Year:  2017        PMID: 28960489     DOI: 10.1002/jbmr.3299

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


  25 in total

1.  Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study.

Authors:  Elizabeth J Samelson; Kerry E Broe; Hanfei Xu; Laiji Yang; Steven Boyd; Emmanuel Biver; Pawel Szulc; Jonathan Adachi; Shreyasee Amin; Elizabeth Atkinson; Claudie Berger; Lauren Burt; Roland Chapurlat; Thierry Chevalley; Serge Ferrari; David Goltzman; David A Hanley; Marian T Hannan; Sundeep Khosla; Ching-Ti Liu; Mattias Lorentzon; Dan Mellstrom; Blandine Merle; Maria Nethander; René Rizzoli; Elisabeth Sornay-Rendu; Bert Van Rietbergen; Daniel Sundh; Andy Kin On Wong; Claes Ohlsson; Serkalem Demissie; Douglas P Kiel; Mary L Bouxsein
Journal:  Lancet Diabetes Endocrinol       Date:  2018-11-28       Impact factor: 32.069

2.  Volumetric Bone Mineral Density and Failure Load of Distal Limbs Predict Incident Clinical Fracture Independent HR-pQCT BMD and Failure Load Predicts Incident Clinical Fracture of FRAX and Clinical Risk Factors Among Older Men.

Authors:  Lisa Langsetmo; Katherine W Peters; Andrew J Burghardt; Kristine E Ensrud; Howard A Fink; Peggy M Cawthon; Jane A Cauley; John T Schousboe; Elizabeth Barrett-Connor; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2018-05-22       Impact factor: 6.741

3.  Bone: Microarchitecture of bone predicts fractures in older women.

Authors:  Richard Eastell; Jennifer S Walsh
Journal:  Nat Rev Endocrinol       Date:  2018-03-09       Impact factor: 43.330

Review 4.  Augmenting Osteoporosis Imaging with Machine Learning.

Authors:  Valentina Pedoia; Francesco Caliva; Galateia Kazakia; Andrew J Burghardt; Sharmila Majumdar
Journal:  Curr Osteoporos Rep       Date:  2021-12       Impact factor: 5.096

5.  Association of High-resolution Peripheral Quantitative Computed Tomography (HR-pQCT) bone microarchitectural parameters with previous clinical fracture in older men: The Osteoporotic Fractures in Men (MrOS) study.

Authors:  Howard A Fink; Lisa Langsetmo; Tien N Vo; Eric S Orwoll; John T Schousboe; Kristine E Ensrud
Journal:  Bone       Date:  2018-05-08       Impact factor: 4.398

6.  Associations between radius low-frequency axial ultrasound velocity and bone fragility in elderly men and women.

Authors:  E Biver; J Pepe; A de Sire; T Chevalley; S Ferrari
Journal:  Osteoporos Int       Date:  2018-10-10       Impact factor: 4.507

7.  Level and change in bone microarchitectural parameters and their relationship with previous fracture and established bone mineral density loci.

Authors:  Nicholas R Fuggle; Leo D Westbury; Gregorio Bevilacqua; Philip Titcombe; Mícheál Ó Breasail; Nicholas C Harvey; Elaine M Dennison; Cyrus Cooper; Kate A Ward
Journal:  Bone       Date:  2021-03-22       Impact factor: 4.398

Review 8.  Approaches to Fracture Risk Assessment and Prevention.

Authors:  Sanford Baim; Robert Blank
Journal:  Curr Osteoporos Rep       Date:  2021-02-01       Impact factor: 5.096

Review 9.  Bringing Mechanical Context to Image-Based Measurements of Bone Integrity.

Authors:  Lindsay L Loundagain; Todd L Bredbenner; Karl J Jepsen; W Brent Edwards
Journal:  Curr Osteoporos Rep       Date:  2021-07-16       Impact factor: 5.096

10.  Global and Spatial Compartmental Interrelationships of Bone Density, Microstructure, Geometry and Biomechanics in the Distal Radius in a Colles' Fracture Study Using HR-pQCT.

Authors:  Kazuteru Shiraishi; Andrew J Burghardt; Makoto Osaki; Sundeep Khosla; Julio Carballido-Gamio
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-26       Impact factor: 6.055

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