Literature DB >> 17563237

Identification of vertebral fracture and non-osteoporotic short vertebral height in men: the MrOS study.

Lynne Ferrar1, Guirong Jiang, Peggy M Cawthon, Ria San Valentin, Robin Fullman, Lori Lambert, Steven R Cummings, Dennis M Black, Eric Orwoll, Elizabeth Barrett-Connor, Kris Ensrud, Howard A Fink, Richard Eastell.   

Abstract

UNLABELLED: Non-osteoporotic SVH may mimic VF but is excluded in ABQ. In men, this led to discordance between ABQ and other methods, but SVH was not linked to low bone density. Exclusion of SVH could reduce false positives.
INTRODUCTION: Non-osteoporotic short vertebral height (SVH) may mimic vertebral fracture (VF). The aims were to (1) compare the prevalence of VF in elderly men using the algorithm-based qualitative (ABQ), semiquantitative (SQ), and triage-quantitative morphometric (triage-QM) methods; (2) identify reasons for discordance between methods; and (3) determine whether SVH identified by ABQ is linked to low BMD.
MATERIALS AND METHODS: We studied a subset of 732 men ages > or =65 yr participating in the Osteoporotic Fractures in Men (MrOS) Study. Criteria for VF were (1) ABQ: endplate depression; (2) SQ: estimated vertebral height reduction > or =20%; (3) triage-QM: vertebral height ratio >3 SD below the reference mean, on radiographs showing evidence of VF. Criteria for SVH (ABQ) were apparent "reduction" in vertebral height > or = approximately 15%, without evidence of endplate depression.
RESULTS: The prevalence of at least one VF was 10% (ABQ); 13% (SQ) and 11% (QM-triage) and of at least one SVH (ABQ) was >50%. Agreement between methods was moderate (kappa = 0.42-0.62). Discordance between methods related mainly to classification of mild thoracic wedging or possible traumatic VF by ABQ. Mean BMD was lower in men with VF (any diagnostic method) than in those without (two-sample t-test, p < 0.05). For ABQ, BMD was similar in men with SVH (no VF) and men with normal vertebrae (ANOVA, p > 0.05). Mean BMD was significantly lower than expected in 40 men with VF identified by all three methods and average or more than average in those identified by a single method.
CONCLUSIONS: Among elderly men (1) the prevalence of VF ranges from 10% to 13%: (2) agreement between diagnostic methods is moderate: discordance relates mainly to differential classification of mild thoracic deformities or ABQ definition of VF as traumatic; and (3) SVH identified by ABQ is common and not linked to low BMD.

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Year:  2007        PMID: 17563237     DOI: 10.1359/jbmr.070608

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


  20 in total

1.  QCT measures of bone strength at the thoracic and lumbar spine: the Framingham Study.

Authors:  Elizabeth J Samelson; Blaine A Christiansen; Serkalem Demissie; Kerry E Broe; Qiong Louie-Gao; L Adrienne Cupples; Benjamin J Roberts; Rajaram Manoharam; John D'Agostino; Thomas Lang; Douglas P Kiel; Mary L Bouxsein
Journal:  J Bone Miner Res       Date:  2012-03       Impact factor: 6.741

Review 2.  The broadening spectrum of osteoporotic vertebral fracture.

Authors:  Fergus Eoin McKiernan
Journal:  Skeletal Radiol       Date:  2009-04       Impact factor: 2.199

3.  Identification of vertebral fractures: a moderately severe solution?

Authors:  E V McCloskey
Journal:  Osteoporos Int       Date:  2017-04-27       Impact factor: 4.507

4.  Association between incident and baseline vertebral fractures in European women: vertebral fracture assessment in the Osteoporosis and Ultrasound Study (OPUS).

Authors:  L Ferrar; C Roux; D Felsenberg; C-C Glüer; R Eastell
Journal:  Osteoporos Int       Date:  2011-07-06       Impact factor: 4.507

5.  Prevalence of non-fracture short vertebral height is similar in premenopausal and postmenopausal women: the osteoporosis and ultrasound study.

Authors:  L Ferrar; C Roux; D M Reid; D Felsenberg; C C Glüer; R Eastell
Journal:  Osteoporos Int       Date:  2011-05-25       Impact factor: 4.507

6.  Anatomical distribution of vertebral fractures: comparison of pediatric and adult spines.

Authors:  K Siminoski; K-C Lee; H Jen; R Warshawski; M A Matzinger; N Shenouda; M Charron; C Coblentz; J Dubois; R Kloiber; H Nadel; K O'Brien; M Reed; K Sparrow; C Webber; B Lentle; L M Ward
Journal:  Osteoporos Int       Date:  2011-11-23       Impact factor: 4.507

7.  Spinal Loading Patterns From Biomechanical Modeling Explain the High Incidence of Vertebral Fractures in the Thoracolumbar Region.

Authors:  Alexander G Bruno; Katelyn Burkhart; Brett Allaire; Dennis E Anderson; Mary L Bouxsein
Journal:  J Bone Miner Res       Date:  2017-03-28       Impact factor: 6.741

8.  Assessment of incident spine and hip fractures in women and men using finite element analysis of CT scans.

Authors:  David L Kopperdahl; Thor Aspelund; Paul F Hoffmann; Sigurdur Sigurdsson; Kristin Siggeirsdottir; Tamara B Harris; Vilmundur Gudnason; Tony M Keaveny
Journal:  J Bone Miner Res       Date:  2014-03       Impact factor: 6.741

9.  Simplified criteria for selecting patients for vertebral fracture assessment.

Authors:  Sharon H Chou; Tamara J Vokes; Siu-Ling Ma; Maureen Costello; Harold R Rosen; John T Schousboe
Journal:  J Clin Densitom       Date:  2014-02-25       Impact factor: 2.617

10.  Prevalence of morphometric vertebral fractures in old men and the agreement between different methods in the city of Recife, Brazil.

Authors:  Carla Nubia Borges; Juliana Maia de Almeida; Denise Lima; Marcelo Cabral; Francisco Bandeira
Journal:  Rheumatol Int       Date:  2014-05-08       Impact factor: 2.631

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