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FREM predicts 10-year incident fracture risk independent of FRAX (R) probability: a registry-based cohort study

FREM predicts 10-year incident fracture risk independent of FRAX (R) probability: a registry-based cohort study
FREM predicts 10-year incident fracture risk independent of FRAX (R) probability: a registry-based cohort study

Summary: The Danish Fracture Risk Evaluation Model (FREM) was found to predict fracture risk independent of 10-year fracture probability derived with the FRAX® tool including bone mineral density from DXA. Introduction: FREM was developed from Danish public health registers without DXA information to identify high imminent risk of major osteoporotic fracture (MOF) and hip fracture (HF), while FRAX® estimates 10-year fracture probability from clinical risk factors and femoral neck bone mineral density (BMD) from DXA. The FREM algorithm showed significant 1- and 2-year fracture risk stratification when applied to a clinical population from Manitoba, Canada. We examined whether FREM predicts 10-year fracture risk independent of 10-year FRAX probability computed with BMD. Methods: Using the Manitoba BMD Program registry, we identified women and men aged ≥ 45 years undergoing baseline BMD assessment. We calculated FREM and FRAX scores, and identified incident fractures over 10 years. Hazard ratios (HRs) for incident fracture were estimated according to FREM quintile, adjusted for FRAX probability. We compared predicted with observed 10-year cumulative fracture probability estimated with competing mortality. Results: The study population comprised 74,446 women, mean age 65.2 years; 7945 men, mean age 67.5 years. There were 7957 and 646 incident MOF and 2554 and 294 incident HF in women and men, respectively. Higher FREM scores were associated with increased risk for MOF (highest vs middle quintile HRs 1.49 women, 2.06 men) and HF (highest vs middle quintile HRs 2.15 women, 2.20 men) even when adjusted for FRAX. Greater mortality with higher FREM scores attenuated its effect on 10-year fracture probability. In the highest FREM quintile, observed slightly exceeded predicted 10-year probability for MOF (ratios 1.05 in women, 1.49 in men) and HF (ratios 1.29 in women, 1.34 in men). Conclusions: Higher FREM scores identified women and men at increased fracture risk even when adjusted for FRAX probability that included BMD; hence, FREM provides additional predictive information to FRAX. FRAX slightly underestimated 10-year fracture probability in those falling within the highest FREM quintile.

FRAX; FREM, Fracture risk assessment, Osteoporosis, Population-based cohort study, Screening
0937-941X
1457-1463
Leslie, William D.
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Moller, Soren
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Skjodt, Michael K
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Yan, Lin
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Abrahamsen, Bo
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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
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Kanis, John A.
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Rubin, Katrine Hass
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Leslie, William D.
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Moller, Soren
6a098fd3-f9b6-4112-a0d9-34ffbf1ec970
Skjodt, Michael K
9c58ee38-dcba-482c-a710-cb892183b1ed
Yan, Lin
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Abrahamsen, Bo
ea627e06-482e-479f-8631-5b0f3aec5d13
Lix, Lisa M.
2fb61783-047d-4a4b-a45d-e09ac0763a7b
McCloskey, Eugene V.
2f057a16-3d4e-4597-80c7-6ce47f969c78
Johansson, Helena
04f12338-4dd1-437b-b9bc-e0884130c215
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Kanis, John A.
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Rubin, Katrine Hass
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Leslie, William D., Moller, Soren, Skjodt, Michael K, Yan, Lin, Abrahamsen, Bo, Lix, Lisa M., McCloskey, Eugene V., Johansson, Helena, Harvey, Nicholas, Kanis, John A. and Rubin, Katrine Hass (2022) FREM predicts 10-year incident fracture risk independent of FRAX (R) probability: a registry-based cohort study. Osteoporosis International, 33 (7), 1457-1463. (doi:10.1007/s00198-022-06349-3).

Record type: Article

Abstract

Summary: The Danish Fracture Risk Evaluation Model (FREM) was found to predict fracture risk independent of 10-year fracture probability derived with the FRAX® tool including bone mineral density from DXA. Introduction: FREM was developed from Danish public health registers without DXA information to identify high imminent risk of major osteoporotic fracture (MOF) and hip fracture (HF), while FRAX® estimates 10-year fracture probability from clinical risk factors and femoral neck bone mineral density (BMD) from DXA. The FREM algorithm showed significant 1- and 2-year fracture risk stratification when applied to a clinical population from Manitoba, Canada. We examined whether FREM predicts 10-year fracture risk independent of 10-year FRAX probability computed with BMD. Methods: Using the Manitoba BMD Program registry, we identified women and men aged ≥ 45 years undergoing baseline BMD assessment. We calculated FREM and FRAX scores, and identified incident fractures over 10 years. Hazard ratios (HRs) for incident fracture were estimated according to FREM quintile, adjusted for FRAX probability. We compared predicted with observed 10-year cumulative fracture probability estimated with competing mortality. Results: The study population comprised 74,446 women, mean age 65.2 years; 7945 men, mean age 67.5 years. There were 7957 and 646 incident MOF and 2554 and 294 incident HF in women and men, respectively. Higher FREM scores were associated with increased risk for MOF (highest vs middle quintile HRs 1.49 women, 2.06 men) and HF (highest vs middle quintile HRs 2.15 women, 2.20 men) even when adjusted for FRAX. Greater mortality with higher FREM scores attenuated its effect on 10-year fracture probability. In the highest FREM quintile, observed slightly exceeded predicted 10-year probability for MOF (ratios 1.05 in women, 1.49 in men) and HF (ratios 1.29 in women, 1.34 in men). Conclusions: Higher FREM scores identified women and men at increased fracture risk even when adjusted for FRAX probability that included BMD; hence, FREM provides additional predictive information to FRAX. FRAX slightly underestimated 10-year fracture probability in those falling within the highest FREM quintile.

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FREM Affects Incident 10-year Fracture Risk.R1 2022-01-24 - Accepted Manuscript
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Accepted/In Press date: 13 February 2022
e-pub ahead of print date: 17 February 2022
Published date: July 2022
Additional Information: Funding Information: The authors acknowledge the Manitoba Centre for Health Policy (MCHP) for use of data contained in the Population Health Research Data Repository (HIPC Project Number 2016/2017-29). The results and conclusions are those of the authors, and no official endorsement by the MCHP, Manitoba Health and Seniors Care, or other data providers is intended or should be inferred. The results and conclusions are those of the authors, and no official endorsement by Manitoba Health and Seniors Care is intended or should be inferred. This article has been reviewed and approved by the members of the Manitoba Bone Density Program Committee. Funding Information: Michael K. Skjødt: educational grant, UCB and institutional research grant, UCB/Amgen. Funding Information: Eugene McCloskey: nothing to declare for the context of this paper, but numerous ad hoc consultancies/speaking honoraria and/or research funding from Amgen, Bayer, General Electric, GSK, Fresenius Kabi, Hologic, Lilly, Merck Research Labs, Novartis, Novo Nordisk, Nycomed, Ono, Pfizer, ProStrakan, Roche, Sanofi-Aventis, Servier, Tethys, UCB and Warner-Chilcott. Publisher Copyright: © 2022, International Osteoporosis Foundation and National Osteoporosis Foundation.
Keywords: FRAX; FREM, Fracture risk assessment, Osteoporosis, Population-based cohort study, Screening

Identifiers

Local EPrints ID: 455298
URI: http://eprints.soton.ac.uk/id/eprint/455298
ISSN: 0937-941X
PURE UUID: c73c6ea8-2b26-4c75-b31f-874366560d33
ORCID for Nicholas Harvey: ORCID iD orcid.org/0000-0002-8194-2512

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Date deposited: 16 Mar 2022 18:04
Last modified: 17 Mar 2024 07:09

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Contributors

Author: William D. Leslie
Author: Soren Moller
Author: Michael K Skjodt
Author: Lin Yan
Author: Bo Abrahamsen
Author: Lisa M. Lix
Author: Eugene V. McCloskey
Author: Helena Johansson
Author: Nicholas Harvey ORCID iD
Author: John A. Kanis
Author: Katrine Hass Rubin

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