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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

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 frac...

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Autores principales: Johansson, L., Johansson, H., Axelsson, K. F., Litsne, H., Harvey, N. C., Liu, E., Leslie, W. D., Vandenput, L., McCloskey, E., Kanis, J. A., Lorentzon, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499899/
https://www.ncbi.nlm.nih.gov/pubmed/35451623
http://dx.doi.org/10.1007/s00198-022-06387-x
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author Johansson, L.
Johansson, H.
Axelsson, K. F.
Litsne, H.
Harvey, N. C.
Liu, E.
Leslie, W. D.
Vandenput, L.
McCloskey, E.
Kanis, J. A.
Lorentzon, M.
author_facet Johansson, L.
Johansson, H.
Axelsson, K. F.
Litsne, H.
Harvey, N. C.
Liu, E.
Leslie, W. D.
Vandenput, L.
McCloskey, E.
Kanis, J. A.
Lorentzon, M.
author_sort Johansson, L.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00198-022-06387-x.
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spelling pubmed-94998992022-09-24 Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX Johansson, L. Johansson, H. Axelsson, K. F. Litsne, H. Harvey, N. C. Liu, E. Leslie, W. D. Vandenput, L. McCloskey, E. Kanis, J. A. Lorentzon, M. Osteoporos Int Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00198-022-06387-x. Springer London 2022-04-22 2022 /pmc/articles/PMC9499899/ /pubmed/35451623 http://dx.doi.org/10.1007/s00198-022-06387-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Article
Johansson, L.
Johansson, H.
Axelsson, K. F.
Litsne, H.
Harvey, N. C.
Liu, E.
Leslie, W. D.
Vandenput, L.
McCloskey, E.
Kanis, J. A.
Lorentzon, M.
Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX
title Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX
title_full Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX
title_fullStr Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX
title_full_unstemmed Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX
title_short Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX
title_sort improved fracture risk prediction by adding vfa-identified vertebral fracture data to bmd by dxa and clinical risk factors used in frax
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499899/
https://www.ncbi.nlm.nih.gov/pubmed/35451623
http://dx.doi.org/10.1007/s00198-022-06387-x
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