Predicting fracture risk after non-recent high risk fracture: improving accuracy with simple modifiers to FRAX
Predicting fracture risk after non-recent high risk fracture: improving accuracy with simple modifiers to FRAX
Prior fracture is among the strongest predictors of future osteoporotic fracture. However, the Fracture Risk Assessment Tool (FRAX®) incorporates it as a dichotomous variable, potentially obscuring important heterogeneity related to fracture site and multiplicity. Although recent (≤2-year) fractures are recognized as conferring imminent risk, it is unclear whether non-recent high-risk fractures (nrHRFs)-specifically hip, vertebral, or multiple fractures-continue to elevate long-term risk beyond that captured by standard FRAX inputs.
In this population-based retrospective cohort study using the Manitoba Bone Mineral Density Registry linked to comprehensive provincial administrative health data, adults ≥40 years undergoing first DXA between 1996-2018 were included (N=88,653). Individuals who had a prior recent fracture (occurring less than 2 years prior to the index date) were excluded. Prior non-recent fractures (>2 years pre-index) were identified. Ten-year major osteoporotic fracture (MOF) and hip fracture probabilities were calculated using Canadian FRAX. Using Cox models adjusted for baseline FRAX probability, we evaluated residual risk associated with nrHRFs. A 2:1 train-test split was used to derive and internally validate recalibration multipliers based on observed-to-predicted fracture ratios incorporating competing risk of death.
FRAX stratified fracture risk better in those without prior nrHRF compared to those with nrHRF. In the derivation cohort, despite including prior fracture as a FRAX input, observed-to-predicted ratios indicated underestimation of MOF risk for non-recent vertebral (1.32) and multiple fractures (1.34), and underestimation of hip fracture risk for non-recent multiple fractures (1.70). Derived multipliers (×1.3 for MOF; ×1.7 for hip fracture) demonstrated good calibration in the validation cohort. Applying adjustments reclassified 13.3% and 3.5% of individuals with prior nrHRFs into high-risk MOF and hip fracture categories, respectively.
FRAX underestimates 10-year fracture risk in individuals with specific nrHRFs. Simple adjustment factors markedly improve calibration and enhance identification of patients who may benefit from fracture-preventive therapy.
Ye, Carrie
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Morin, Suzanne N
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Lix, Lisa M
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McCloskey, Eugene V
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Johansson, Helena
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Harvey, Nicholas C
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Kanis, John A
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Leslie, William D
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29 March 2026
Ye, Carrie
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Morin, Suzanne N
68489af8-f604-4f28-88e0-60add9fde4ae
Lix, Lisa M
2fb61783-047d-4a4b-a45d-e09ac0763a7b
McCloskey, Eugene V
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Johansson, Helena
04f12338-4dd1-437b-b9bc-e0884130c215
Harvey, Nicholas C
ce487fb4-d360-4aac-9d17-9466d6cba145
Kanis, John A
f1621d8d-8afb-4d97-9679-2165d88a344d
Leslie, William D
5b2dd5d6-4569-40a3-a9b1-95152d11e4f1
Ye, Carrie, Morin, Suzanne N, Lix, Lisa M, McCloskey, Eugene V, Johansson, Helena, Harvey, Nicholas C, Kanis, John A and Leslie, William D
(2026)
Predicting fracture risk after non-recent high risk fracture: improving accuracy with simple modifiers to FRAX.
Journal of Bone and Mineral Research, [zjag049].
(doi:10.1093/jbmr/zjag049).
Abstract
Prior fracture is among the strongest predictors of future osteoporotic fracture. However, the Fracture Risk Assessment Tool (FRAX®) incorporates it as a dichotomous variable, potentially obscuring important heterogeneity related to fracture site and multiplicity. Although recent (≤2-year) fractures are recognized as conferring imminent risk, it is unclear whether non-recent high-risk fractures (nrHRFs)-specifically hip, vertebral, or multiple fractures-continue to elevate long-term risk beyond that captured by standard FRAX inputs.
In this population-based retrospective cohort study using the Manitoba Bone Mineral Density Registry linked to comprehensive provincial administrative health data, adults ≥40 years undergoing first DXA between 1996-2018 were included (N=88,653). Individuals who had a prior recent fracture (occurring less than 2 years prior to the index date) were excluded. Prior non-recent fractures (>2 years pre-index) were identified. Ten-year major osteoporotic fracture (MOF) and hip fracture probabilities were calculated using Canadian FRAX. Using Cox models adjusted for baseline FRAX probability, we evaluated residual risk associated with nrHRFs. A 2:1 train-test split was used to derive and internally validate recalibration multipliers based on observed-to-predicted fracture ratios incorporating competing risk of death.
FRAX stratified fracture risk better in those without prior nrHRF compared to those with nrHRF. In the derivation cohort, despite including prior fracture as a FRAX input, observed-to-predicted ratios indicated underestimation of MOF risk for non-recent vertebral (1.32) and multiple fractures (1.34), and underestimation of hip fracture risk for non-recent multiple fractures (1.70). Derived multipliers (×1.3 for MOF; ×1.7 for hip fracture) demonstrated good calibration in the validation cohort. Applying adjustments reclassified 13.3% and 3.5% of individuals with prior nrHRFs into high-risk MOF and hip fracture categories, respectively.
FRAX underestimates 10-year fracture risk in individuals with specific nrHRFs. Simple adjustment factors markedly improve calibration and enhance identification of patients who may benefit from fracture-preventive therapy.
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More information
Accepted/In Press date: 1 March 2026
e-pub ahead of print date: 11 March 2026
Published date: 29 March 2026
Additional Information:
© The Author(s) 2026. Published by Oxford University Press on behalf of the American Society for Bone and Mineral Research.
Identifiers
Local EPrints ID: 510935
URI: http://eprints.soton.ac.uk/id/eprint/510935
ISSN: 0884-0431
PURE UUID: 75763cbb-d18e-4273-a998-1abe1926d681
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Date deposited: 27 Apr 2026 16:45
Last modified: 28 Apr 2026 01:45
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Contributors
Author:
Carrie Ye
Author:
Suzanne N Morin
Author:
Lisa M Lix
Author:
Eugene V McCloskey
Author:
Helena Johansson
Author:
John A Kanis
Author:
William D Leslie
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