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Potential Extensions of the US FRAX Algorithm

To determine if the revised US FRAX can identify those at high risk for fractures at any skeletal site, we studied 250 women and 249 men ≥40 years old from an age-stratified random sample of Rochester, MN residents. At baseline, femoral neck (FN) bone density was assessed, as were the clinical risk...

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Autores principales: Melton, L. Joseph, Atkinson, Elizabeth J., Achenbach, Sara J., Kanis, John A., Therneau, Terry M., Johansson, Helena, Khosla, Sundeep, Amin, Shreyasee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3426248/
https://www.ncbi.nlm.nih.gov/pubmed/22934235
http://dx.doi.org/10.1155/2012/528790
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author Melton, L. Joseph
Atkinson, Elizabeth J.
Achenbach, Sara J.
Kanis, John A.
Therneau, Terry M.
Johansson, Helena
Khosla, Sundeep
Amin, Shreyasee
author_facet Melton, L. Joseph
Atkinson, Elizabeth J.
Achenbach, Sara J.
Kanis, John A.
Therneau, Terry M.
Johansson, Helena
Khosla, Sundeep
Amin, Shreyasee
author_sort Melton, L. Joseph
collection PubMed
description To determine if the revised US FRAX can identify those at high risk for fractures at any skeletal site, we studied 250 women and 249 men ≥40 years old from an age-stratified random sample of Rochester, MN residents. At baseline, femoral neck (FN) bone density was assessed, as were the clinical risk factors included in FRAX, along with additional fracture risk factors such as bone turnover markers and fall history. Fracture ascertainment through periodic interviews and comprehensive medical record review was performed over 10 years of followup. In both women and men, a higher FRAX probability at baseline was associated with greater subsequent likelihood of a major osteoporotic fracture. However, a relative 10% increase in the FRAX 10-year fracture probability was also associated with a 1.4-fold increase (95% confidence interval (CI) 1.1–1.7) in other fractures in women and a 1.7-fold increase (95% CI 0.8–3.1) in men. Furthermore, FRAX predicted asymptomatic vertebral fractures and fractures generally in both sexes. The addition of risk factors not currently included in FRAX did not appear to improve the accuracy of fracture risk prediction. FRAX may provide a conservative estimate of risk for major osteoporotic fractures, but it also predicts fractures generally.
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spelling pubmed-34262482012-08-29 Potential Extensions of the US FRAX Algorithm Melton, L. Joseph Atkinson, Elizabeth J. Achenbach, Sara J. Kanis, John A. Therneau, Terry M. Johansson, Helena Khosla, Sundeep Amin, Shreyasee J Osteoporos Research Article To determine if the revised US FRAX can identify those at high risk for fractures at any skeletal site, we studied 250 women and 249 men ≥40 years old from an age-stratified random sample of Rochester, MN residents. At baseline, femoral neck (FN) bone density was assessed, as were the clinical risk factors included in FRAX, along with additional fracture risk factors such as bone turnover markers and fall history. Fracture ascertainment through periodic interviews and comprehensive medical record review was performed over 10 years of followup. In both women and men, a higher FRAX probability at baseline was associated with greater subsequent likelihood of a major osteoporotic fracture. However, a relative 10% increase in the FRAX 10-year fracture probability was also associated with a 1.4-fold increase (95% confidence interval (CI) 1.1–1.7) in other fractures in women and a 1.7-fold increase (95% CI 0.8–3.1) in men. Furthermore, FRAX predicted asymptomatic vertebral fractures and fractures generally in both sexes. The addition of risk factors not currently included in FRAX did not appear to improve the accuracy of fracture risk prediction. FRAX may provide a conservative estimate of risk for major osteoporotic fractures, but it also predicts fractures generally. Hindawi Publishing Corporation 2012 2012-08-15 /pmc/articles/PMC3426248/ /pubmed/22934235 http://dx.doi.org/10.1155/2012/528790 Text en Copyright © 2012 L. Joseph Melton III et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Melton, L. Joseph
Atkinson, Elizabeth J.
Achenbach, Sara J.
Kanis, John A.
Therneau, Terry M.
Johansson, Helena
Khosla, Sundeep
Amin, Shreyasee
Potential Extensions of the US FRAX Algorithm
title Potential Extensions of the US FRAX Algorithm
title_full Potential Extensions of the US FRAX Algorithm
title_fullStr Potential Extensions of the US FRAX Algorithm
title_full_unstemmed Potential Extensions of the US FRAX Algorithm
title_short Potential Extensions of the US FRAX Algorithm
title_sort potential extensions of the us frax algorithm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3426248/
https://www.ncbi.nlm.nih.gov/pubmed/22934235
http://dx.doi.org/10.1155/2012/528790
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