Literature DB >> 21732219

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

L Ferrar1, C Roux, D Felsenberg, C-C Glüer, R Eastell.   

Abstract

UNLABELLED: Vertebral fracture assessment (VFA) with densitometric devices uses less radiation than spinal radiography. We assessed risk of new vertebral fracture (VF) in women with baseline fracture identified on VFA using algorithm-based qualitative diagnosis. Women with VF had significantly greater risk of VF after 6 years compared to those without baseline fracture.
INTRODUCTION: Prevalent VFs predict future fracture and are identifiable on vertebral fracture assessment (VFA) using bone densitometry devices. We have previously performed cross-sectional, but not longitudinal, VFA using the algorithm-based qualitative method (ABQ). We aimed to examine the prevalence and incidence of VF and test the association between prevalent and incident VF identified by ABQ VFA.
METHODS: We used ABQ to assess vertebral images obtained at baseline and 6 years (Hologic devices) in 674 women at ages 39 to 80 years participating in the Osteoporosis and Ultrasound Study. Criteria for prevalent and incident VF were endplate fracture, with/without cortical fracture. We compared proportions (chi-squared test) and characteristics (two-sample t tests and analysis of variance) of women with and without VF and calculated odds ratios for incident VF in women with prevalent VF (logistic regression).
RESULTS: Prevalent VF was identified in one premenopausal woman and 41 postmenopausal women. Incident VF was identified in 18 postmenopausal women. Odds ratios (95% CI) for incident VF in postmenopausal women with prevalent VF were 7.8 (2.8, 22.1) (unadjusted) and 4.3 (1.4, 13.7) (adjusted for age and bone mineral density, BMD). Women with prevalent or incident VF were older (P < 0.01), with lower hip BMD (P < 0.001) compared to women without VF.
CONCLUSIONS: Population-based postmenopausal women had relatively low prevalence and incidence of VF analysed with the ABQ method applied to VFA. Women with prevalent fracture had a significantly greater risk of incident VF than women without prevalent fracture.

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Year:  2011        PMID: 21732219     DOI: 10.1007/s00198-011-1701-3

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  22 in total

1.  International variation in proximal femur bone mineral density.

Authors:  M A Paggiosi; C C Glueer; C Roux; D M Reid; D Felsenberg; R Barkmann; R Eastell
Journal:  Osteoporos Int       Date:  2010-07-15       Impact factor: 4.507

2.  Effectiveness of instant vertebral assessment to detect prevalent vertebral fracture.

Authors:  R D Chapurlat; F Duboeuf; H O Marion-Audibert; B Kalpakçioglu; B H Mitlak; P D Delmas
Journal:  Osteoporos Int       Date:  2006-06-07       Impact factor: 4.507

3.  Height loss, vertebral fractures, and the misclassification of osteoporosis.

Authors:  WanWan Xu; Subashan Perera; Donna Medich; Gail Fiorito; Julie Wagner; Loretta K Berger; Susan L Greenspan
Journal:  Bone       Date:  2010-09-24       Impact factor: 4.398

4.  Vertebral fracture assessment: the 2005 ISCD Official Positions.

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5.  Evaluation of vertebral fracture assessment by dual X-ray absorptiometry in a multicenter setting.

Authors:  T Fuerst; C Wu; H K Genant; G von Ingersleben; Y Chen; C Johnston; M J Econs; N Binkley; T J Vokes; G Crans; B H Mitlak
Journal:  Osteoporos Int       Date:  2008-12-13       Impact factor: 4.507

6.  Algorithm-based qualitative and semiquantitative identification of prevalent vertebral fracture: agreement between different readers, imaging modalities, and diagnostic approaches.

Authors:  Lynne Ferrar; Guirong Jiang; John T Schousboe; Charles R DeBold; Richard Eastell
Journal:  J Bone Miner Res       Date:  2008-03       Impact factor: 6.741

7.  Routine versus targeted vertebral fracture assessment for the detection of vertebral fractures.

Authors:  E T Middleton; S A Steel
Journal:  Osteoporos Int       Date:  2008-03-13       Impact factor: 4.507

8.  Risk factors for vertebral and nonvertebral fracture over 10 years: a population-based study in women.

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Journal:  J Bone Miner Res       Date:  2008-01       Impact factor: 6.741

9.  Vertebral fracture assessment (VFA) with a densitometer predicts future fractures in elderly women unselected for osteoporosis.

Authors:  Eugene V McCloskey; Sreekanth Vasireddy; Jane Threlkeld; Joanne Eastaugh; Ailsa Parry; Nicolas Bonnet; Monique Beneton; John A Kanis; Diane Charlesworth
Journal:  J Bone Miner Res       Date:  2008-10       Impact factor: 6.741

10.  Association of five quantitative ultrasound devices and bone densitometry with osteoporotic vertebral fractures in a population-based sample: the OPUS Study.

Authors:  Claus C Glüer; Richard Eastell; David M Reid; Dieter Felsenberg; Christian Roux; Reinhard Barkmann; Wolfram Timm; Tilo Blenk; Gabi Armbrecht; Alison Stewart; Jackie Clowes; Friederike E Thomasius; Sami Kolta
Journal:  J Bone Miner Res       Date:  2004-03-01       Impact factor: 6.741

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  12 in total

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Authors:  J T Schousboe; F McKiernan; J T Fuehrer; N Binkley
Journal:  Osteoporos Int       Date:  2014-03       Impact factor: 4.507

2.  Technologies for assessment of bone reflecting bone strength and bone mineral density in elderly women: an update.

Authors:  Alvilde Dhainaut; Mari Hoff; Unni Syversen; Glenn Haugeberg
Journal:  Womens Health (Lond)       Date:  2016-02-22

3.  Prevalent vertebral fractures and minor vertebral deformities analyzed by vertebral fracture assessment (VFA) increases the risk of incident fractures in postmenopausal women: the FRODOS study.

Authors:  E Kanterewicz; E Puigoriol; J R Rodríguez Cros; P Peris
Journal:  Osteoporos Int       Date:  2019-05-23       Impact factor: 4.507

4.  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

5.  Relationship between sagittal spinal alignment and the incidence of vertebral fracture in menopausal women with osteoporosis: a multicenter longitudinal follow-up study.

Authors:  Jian Dai; Xiaojuan Yu; Shushu Huang; Lu Fan; Guotai Zhu; Hailang Sun; Xiaoming Tang
Journal:  Eur Spine J       Date:  2014-11-06       Impact factor: 3.134

Review 6.  Vertebral Fracture Identification as Part of a Comprehensive Risk Assessment in Patients with Osteoporosis.

Authors:  John T Schousboe
Journal:  Curr Osteoporos Rep       Date:  2018-10       Impact factor: 5.096

7.  Spine fracture prevalence in a nationally representative sample of US women and men aged ≥40 years: results from the National Health and Nutrition Examination Survey (NHANES) 2013-2014.

Authors:  F Cosman; J H Krege; A C Looker; J T Schousboe; B Fan; N Sarafrazi Isfahani; J A Shepherd; K D Krohn; P Steiger; K E Wilson; H K Genant
Journal:  Osteoporos Int       Date:  2017-02-07       Impact factor: 4.507

8.  Prevalence of vertebral fractures and minor vertebral deformities evaluated by DXA-assisted vertebral fracture assessment (VFA) in a population-based study of postmenopausal women: the FRODOS study.

Authors:  E Kanterewicz; E Puigoriol; J García-Barrionuevo; L del Rio; M Casellas; P Peris
Journal:  Osteoporos Int       Date:  2014-03-06       Impact factor: 4.507

9.  Global sagittal alignment of the spine, pelvis, lower limb after vertebral compression fracture and its effect on quality of life.

Authors:  Leo Tsz Ching Chau; Zongshan Hu; Koko Shaau Yiu Ko; Gene Chi Wai Man; Kwong Hang Yeung; Ying Yeung Law; Lawrence Chun Man Lau; Ronald Man Yeung Wong; Winnie Chiu Wing Chu; Jack Chun Yiu Cheng; Sheung Wai Law
Journal:  BMC Musculoskelet Disord       Date:  2021-05-24       Impact factor: 2.362

10.  Abdominal aortic calcification, bone mineral density and fractures: a systematic review and meta-analysis protocol.

Authors:  Alexander J Rodríguez; Kevin Leow; Pawel Szulc; David Scott; Peter Ebeling; Marc Sim; Germaine Wong; Wai H Lim; John T Schousboe; Douglas P Kiel; Richard L Prince; Joshua R Lewis
Journal:  BMJ Open       Date:  2019-04-02       Impact factor: 2.692

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