Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/57996
Title: Validating the FRAC-Stroke score: targeting those at highest risk of fracture.
Authors: Stokes G.;Trinh A.;Andrew N.E.;Cadilhac D.A.;Ebeling P.R. ;Borschmann K.;Kilkenny M.F.;Kim J.;Dalli L.L.;Milat F.
Monash Health Department(s): Hudson Institute - Centre for Endocrinology and Metabolism
Hudson Institute - Centre for Reproductive Health
Monash University - School of Clinical Sciences at Monash Health
Endocrinology
Institution: (Stokes, Trinh, Milat) Centre for Endocrinology & Reproductive Health, Hudson Institute of Medical Research, Clayton, VIC, Australia
(Stokes, Trinh, Ebeling, Milat) Department of Medicine, School of Clinical Sciences, Monash University, VIC, Australia
(Stokes, Trinh, Ebeling, Milat) Department of Endocrinology, Monash Health, VIC, Australia
(Andrew) Peninsula Clinical School, Central Clinical School, Monash University, VIC, Australia
(Cadilhac, Borschmann, Kilkenny, Kim) The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, VIC, Australia
(Cadilhac, Kilkenny, Kim, Dalli) Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
Issue Date: 16-Apr-2026
Copyright year: 2026
Place of publication: United Kingdom
Publication information: Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. (no pagination), 2026. Date of Publication: 08 Apr 2026.
Journal: Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Abstract: BACKGROUND: Fracture risk is increased after stroke, but there is a lack of specific, effective tools to screen and prevent minimal trauma fractures (MTF) post-stroke. While the FRAC-Stroke score, developed to predict fracture risk post-stroke, shows promising performance, it has not yet been widely adopted or validated in large cohorts outside of Canada. AIMS: We aimed to: 1) evaluate the reliability and validity of the FRAC-Stroke score in predicting MTF; and 2) determine the optimal score to classify patients at highest fracture risk following ischaemic stroke. METHOD(S): A retrospective cohort study was undertaken using data from the PRECISE study, which included person-level linked administrative data from the Australian Stroke Clinical Registry (AuSCR, 2014-2016). The FRAC-Stroke score at hospital discharge was determined for survivors of ischemic stroke, aged >50 years, using coded comorbidities derived in the prior 5-year period and modified Rankin Scale. Fine-Gray models were built to evaluate associations of the FRAC-Stroke score with MTF within 12 months post-discharge, accounting for death as the competing risk. RESULT(S): Among 4545 adults, the median FRAC-Stroke score was 8 (interquartile range 5-11) and 118 patients (2.6%) sustained a MTF within 12 months post-discharge. The optimal FRAC-Stroke score cut-point to stratify MTF risk was 11.5, with a c-statistic of 0.70. Participants with a FRAC-Stroke score >12 (vs <12) had a 5.5-fold increased risk of MTF (confidence interval 3.8-7.9, p<0.01). When stratified by quintiles of FRAC-Stroke score, those in quintile 5 (FRAC-Stroke score >14) had a 15.2-fold increased risk of MTF than those in quintile 1 (FRAC-Stroke score <3; confidence interval 6.6-35.2, p<0.01). CONCLUSION(S): The FRAC-Stroke score reliably identifies increased fracture risk in the Australian ischemic stroke population, with a score of 12+ able to discriminate those at high risk of fracture.Copyright © The Author(s) 2026. Published by Oxford University Press on behalf of the American Society for Bone and Mineral Research. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site-for further informatio
DOI: https://dx.doi.org/10.1093/jbmr/zjag065
PubMed URL: 41964513
URI: https://repository.monashhealth.org/monashhealthjspui/handle/1/57996
Type: Article In Press
Appears in Collections:Articles

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