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Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX

Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX
Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX

Summary: Vertebral fracture (VF) is a strong predictor of subsequent fracture. In this study of older women, VF, identified by dual-energy X-ray absorptiometry (DXA) vertebral fracture assessment (VFA), were associated with an increased risk of incident fractures and had a substantial impact on fracture probability, supporting the utility of VFA in clinical practice. Purpose: Clinical and occult VF can be identified using VFA with dual-energy X-ray absorptiometry (DXA). The aim of this study was to investigate to what extent VFA-identified VF improve fracture risk prediction, independently of bone mineral density (BMD) and clinical risk factors used in FRAX. Methods: A total of 2852 women, 75–80 years old, from the prospective population-based study SUPERB cohort, were included in this study. At baseline, BMD was measured by DXA, VF diagnosed by VFA, and questionnaires used to collect data on risk factors for fractures. Incident fractures were captured by X-ray records or by diagnosis codes. An extension of Poisson regression was used to estimate the association between VFA-identified VF and the risk of fracture and the 5- and 10-year probability of major osteoporotic fracture (MOF) was calculated from the hazard functions for fracture and death. Results: During a median follow-up of 5.15 years (IQR 4.3–5.9 years), the number of women who died or suffered a MOF, clinical VF, or hip fracture was 229, 422, 160, and 124, respectively. A VFA-identified VF was associated with an increased risk of incident MOF (hazard ratio [HR] = 1.78; 95% confidence interval [CI] 1.46–2.18), clinical VF (HR = 2.88; 95% [CI] 2.11–3.93), and hip fracture (HR = 1.67; 95% [CI] 1.15–2.42), adjusted for age, height, and weight. For women at age 75 years, a VFA-identified VF was associated with 1.2–1.4-fold greater 10-year MOF probability compared with not taking VFA into account, depending on BMD. Conclusion: Identifying an occult VF using VFA has a substantial impact on fracture probability, indicating that VFA is an efficient method to improve fracture prediction in older women.

Clinical risk factors and bone mineral density, Fracture risk, Older women, Vertebral fracture, Vertebral fracture assessment
0937-941X
1725-1738
Johansson, Lisa
54820beb-ecca-43fd-9208-283c2fef0f3d
Johansson, H.
05aa5476-bcb9-4b97-905e-00f1dfd9d691
Axelsson, Kristian F.
1b319953-04ae-4f73-b221-dd56fd312993
Litsne, H.
43199537-798e-4d2a-9fa4-a6d6e0e855ee
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Liu, E.
63b60e12-5d42-4f66-ba55-24da69557b35
Leslie, W.D.
0c9bc973-969a-4049-aeb0-44a536074fb1
Vandenput, Lisbeth
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McCloskey, Eugene
6d3df4aa-b438-4a83-bd06-06b6cbe3980f
Kanis, J. A.
ec5ad011-1ed5-43e9-acac-b0d4f535f5b1
Lorentzon, M.
11692e10-5916-4bb5-86c5-3ff9ccd77af6
Johansson, Lisa
54820beb-ecca-43fd-9208-283c2fef0f3d
Johansson, H.
05aa5476-bcb9-4b97-905e-00f1dfd9d691
Axelsson, Kristian F.
1b319953-04ae-4f73-b221-dd56fd312993
Litsne, H.
43199537-798e-4d2a-9fa4-a6d6e0e855ee
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Liu, E.
63b60e12-5d42-4f66-ba55-24da69557b35
Leslie, W.D.
0c9bc973-969a-4049-aeb0-44a536074fb1
Vandenput, Lisbeth
51275083-bd2d-4d28-9b3b-f07c4d55aeb8
McCloskey, Eugene
6d3df4aa-b438-4a83-bd06-06b6cbe3980f
Kanis, J. A.
ec5ad011-1ed5-43e9-acac-b0d4f535f5b1
Lorentzon, M.
11692e10-5916-4bb5-86c5-3ff9ccd77af6

Johansson, Lisa, Johansson, H., Axelsson, Kristian F., Litsne, H., Harvey, Nicholas, Liu, E., Leslie, W.D., Vandenput, Lisbeth, McCloskey, Eugene, Kanis, J. A. and Lorentzon, M. (2022) Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX. Osteoporosis International, 33 (8), 1725-1738. (doi:10.1007/s00198-022-06387-x).

Record type: Article

Abstract

Summary: Vertebral fracture (VF) is a strong predictor of subsequent fracture. In this study of older women, VF, identified by dual-energy X-ray absorptiometry (DXA) vertebral fracture assessment (VFA), were associated with an increased risk of incident fractures and had a substantial impact on fracture probability, supporting the utility of VFA in clinical practice. Purpose: Clinical and occult VF can be identified using VFA with dual-energy X-ray absorptiometry (DXA). The aim of this study was to investigate to what extent VFA-identified VF improve fracture risk prediction, independently of bone mineral density (BMD) and clinical risk factors used in FRAX. Methods: A total of 2852 women, 75–80 years old, from the prospective population-based study SUPERB cohort, were included in this study. At baseline, BMD was measured by DXA, VF diagnosed by VFA, and questionnaires used to collect data on risk factors for fractures. Incident fractures were captured by X-ray records or by diagnosis codes. An extension of Poisson regression was used to estimate the association between VFA-identified VF and the risk of fracture and the 5- and 10-year probability of major osteoporotic fracture (MOF) was calculated from the hazard functions for fracture and death. Results: During a median follow-up of 5.15 years (IQR 4.3–5.9 years), the number of women who died or suffered a MOF, clinical VF, or hip fracture was 229, 422, 160, and 124, respectively. A VFA-identified VF was associated with an increased risk of incident MOF (hazard ratio [HR] = 1.78; 95% confidence interval [CI] 1.46–2.18), clinical VF (HR = 2.88; 95% [CI] 2.11–3.93), and hip fracture (HR = 1.67; 95% [CI] 1.15–2.42), adjusted for age, height, and weight. For women at age 75 years, a VFA-identified VF was associated with 1.2–1.4-fold greater 10-year MOF probability compared with not taking VFA into account, depending on BMD. Conclusion: Identifying an occult VF using VFA has a substantial impact on fracture probability, indicating that VFA is an efficient method to improve fracture prediction in older women.

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Accepted/In Press date: 22 March 2022
e-pub ahead of print date: 22 April 2022
Published date: August 2022
Additional Information: Funding Information: Open access funding provided by University of Gothenburg. The study was funded by the Swedish Research Council (Vetenskapsrådet) and Sahlgrenska University Hospital (ALF/LUA). Publisher Copyright: © 2022, The Author(s).
Keywords: Clinical risk factors and bone mineral density, Fracture risk, Older women, Vertebral fracture, Vertebral fracture assessment

Identifiers

Local EPrints ID: 457080
URI: http://eprints.soton.ac.uk/id/eprint/457080
ISSN: 0937-941X
PURE UUID: e4f2a604-9749-4e03-9eb1-226de660fc99
ORCID for Nicholas Harvey: ORCID iD orcid.org/0000-0002-8194-2512

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Date deposited: 23 May 2022 16:56
Last modified: 17 Mar 2024 02:58

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Contributors

Author: Lisa Johansson
Author: H. Johansson
Author: Kristian F. Axelsson
Author: H. Litsne
Author: Nicholas Harvey ORCID iD
Author: E. Liu
Author: W.D. Leslie
Author: Lisbeth Vandenput
Author: Eugene McCloskey
Author: J. A. Kanis
Author: M. Lorentzon

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