Literature DB >> 20306020

Using clinical risk factors and bone mineral density to determine who among patients undergoing bone densitometry should have vertebral fracture assessment.

T J Vokes1, D L Gillen.   

Abstract

SUMMARY: Vertebral fracture assessment (VFA) is a new method for imaging thoracolumbar spine on bone densitometer. Among patients referred for bone densitometry, the selection of patients for VFA testing can be optimized using an index derived from clinical risk factors and bone density measurement.
PURPOSE: VFA, a method for imaging thoracolumbar spine on bone densitometer, was developed because vertebral fractures, although common and predictive of future fractures, are often not clinically diagnosed. The study objective was to develop a strategy for selecting patients for VFA.
METHODS: A convenience sample from a university hospital bone densitometry center included 892 subjects (795 women) referred for bone mineral density (BMD) testing. We used questionnaires to capture clinical risk factors and dual-energy X-ray absorptiometry to obtain BMD and VFA.
RESULTS: Prevalence of vertebral fractures was 18% in women and 31% in men (p = 0.003 for gender difference). In women, age, height loss, glucocorticoid use, history of vertebral and other fractures, and BMD T-score were significantly and independently associated with vertebral fractures. A multivariate model which included above predictors had an area under the receiver operating curve of 0.85 with 95% confidence interval (CI) of 0.81 to 0.89. A risk factor index was derived from the above multivariate model. Using a level of 2 as a cut-off yielded 93% sensitivity (95% CI 87, 96) and 48% specificity (95% CI 69, 83). Assuming a 15% prevalence of vertebral fractures, this cut-off value had a 24% positive and 97% negative predictive value and required VFA scanning of three women at a cost of $60 (assuming a $20 cost/VFA scan) to detect one with vertebral fracture(s).
CONCLUSIONS: Selecting patients for VFA can be optimized using an index derived from BMD measurement and easily obtained clinical risk factors.

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Year:  2010        PMID: 20306020      PMCID: PMC2974928          DOI: 10.1007/s00198-010-1185-6

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


  29 in total

1.  Vertebral fracture prevalence among women screened for the Fracture Intervention Trial and a simple clinical tool to screen for undiagnosed vertebral fractures. Fracture Intervention Trial Research Group.

Authors:  T M Vogt; P D Ross; L Palermo; T Musliner; H K Genant; D Black; D E Thompson
Journal:  Mayo Clin Proc       Date:  2000-09       Impact factor: 7.616

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

Authors:  Tamara Vokes; Donald Bachman; Sanford Baim; Neil Binkley; Susan Broy; Lynne Ferrar; E Michael Lewiecki; Bradford Richmond; John Schousboe
Journal:  J Clin Densitom       Date:  2006-05-12       Impact factor: 2.617

3.  Underdiagnosis of vertebral fractures is a worldwide problem: the IMPACT study.

Authors:  Pierre D Delmas; Lex van de Langerijt; Nelson B Watts; Richard Eastell; Harry Genant; Andreas Grauer; David L Cahall
Journal:  J Bone Miner Res       Date:  2004-12-06       Impact factor: 6.741

4.  Recognition of vertebral fracture in a clinical setting.

Authors:  S H Gehlbach; C Bigelow; M Heimisdottir; S May; M Walker; J R Kirkwood
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

5.  Pre-existing fractures and bone mass predict vertebral fracture incidence in women.

Authors:  P D Ross; J W Davis; R S Epstein; R D Wasnich
Journal:  Ann Intern Med       Date:  1991-06-01       Impact factor: 25.391

6.  Which women should be selected for vertebral fracture assessment? Comparing different methods of targeting VFA.

Authors:  Edward T Middleton; Eric D Gardiner; Susan A Steel
Journal:  Calcif Tissue Int       Date:  2009-07-17       Impact factor: 4.333

7.  Severity of prevalent vertebral fractures and the risk of subsequent vertebral and nonvertebral fractures: results from the MORE trial.

Authors:  P D Delmas; H K Genant; G G Crans; J L Stock; M Wong; E Siris; J D Adachi
Journal:  Bone       Date:  2003-10       Impact factor: 4.398

8.  Health-related quality of life and radiographic vertebral fracture.

Authors:  W Cockerill; M Lunt; A J Silman; C Cooper; P Lips; A K Bhalla; J B Cannata; R Eastell; D Felsenberg; C Gennari; O Johnell; J A Kanis; C Kiss; P Masaryk; M Naves; G Poor; H Raspe; D M Reid; J Reeve; J Stepan; C Todd; A D Woolf; T W O'Neill
Journal:  Osteoporos Int       Date:  2003-11-13       Impact factor: 4.507

Review 9.  The epidemiology of vertebral fractures. European Vertebral Osteoporosis Study Group.

Authors:  C Cooper; T O'Neill; A Silman
Journal:  Bone       Date:  1993       Impact factor: 4.398

10.  Development and application of a Japanese model of the WHO fracture risk assessment tool (FRAX).

Authors:  S Fujiwara; T Nakamura; H Orimo; T Hosoi; I Gorai; A Oden; H Johansson; J A Kanis
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

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  12 in total

Review 1.  Spinal radiographs in those with back pain-when are they appropriate to diagnose vertebral fractures?

Authors:  E M Clark; S R Cummings; J T Schousboe
Journal:  Osteoporos Int       Date:  2017-04-25       Impact factor: 4.507

2.  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

Review 3.  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

4.  MRI-based vertebral bone quality score effectively reflects bone quality in patients with osteoporotic vertebral compressive fractures.

Authors:  Ruoyao Li; Yongjie Yin; Wei Ji; Xiaoliang Wu; Hui Jiang; Jianting Chen; Qingan Zhu
Journal:  Eur Spine J       Date:  2022-03-22       Impact factor: 2.721

5.  Prediction models of prevalent radiographic vertebral fractures among older women.

Authors:  John T Schousboe; Harold R Rosen; Tamara J Vokes; Jane A Cauley; Steven R Cummings; Michael Nevitt; Dennis M Black; Eric S Orwoll; Deborah M Kado; Kristine E Ensrud
Journal:  J Clin Densitom       Date:  2014-02-25       Impact factor: 2.617

6.  Prediction models of prevalent radiographic vertebral fractures among older men.

Authors:  John T Schousboe; Harold R Rosen; Tamara J Vokes; Jane A Cauley; Steven R Cummings; Michael C Nevitt; Dennis M Black; Eric S Orwoll; Deborah M Kado; Kristine E Ensrud
Journal:  J Clin Densitom       Date:  2013-11-27       Impact factor: 2.617

7.  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

8.  Vertebral fracture assessment (VFA) by lateral DXA scanning may be cost-effective when used as part of fracture liaison services or primary care screening.

Authors:  E M Clark; L Carter; V C Gould; L Morrison; J H Tobias
Journal:  Osteoporos Int       Date:  2013-11-29       Impact factor: 4.507

9.  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

10.  Vertebral fracture assessment scans enhance targeting of investigations and treatment within a fracture risk assessment pathway.

Authors:  K-P Kuet; D Charlesworth; N F A Peel
Journal:  Osteoporos Int       Date:  2013-01-10       Impact factor: 4.507

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