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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Stokes G. | - |
| dc.contributor.author | Trinh A. | - |
| dc.contributor.author | Andrew N.E. | - |
| dc.contributor.author | Cadilhac D.A. | - |
| dc.contributor.author | Ebeling P.R. | - |
| dc.contributor.author | Borschmann K. | - |
| dc.contributor.author | Kilkenny M.F. | - |
| dc.contributor.author | Kim J. | - |
| dc.contributor.author | Dalli L.L. | - |
| dc.contributor.author | Milat F. | - |
| dc.date.accessioned | 2026-04-26T23:40:35Z | - |
| dc.date.available | 2026-04-26T23:40:35Z | - |
| dc.date.copyright | 2026 | - |
| dc.date.issued | 2026-04-16 | en |
| dc.identifier.citation | 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. | - |
| dc.identifier.uri | https://repository.monashhealth.org/monashhealthjspui/handle/1/57996 | - |
| dc.description.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 | - |
| dc.relation.ispartof | Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research | - |
| dc.title | Validating the FRAC-Stroke score: targeting those at highest risk of fracture. | - |
| dc.type | Article In Press | - |
| dc.identifier.affiliation | Hudson Institute - Centre for Endocrinology and Metabolism | - |
| dc.identifier.affiliation | Hudson Institute - Centre for Reproductive Health | - |
| dc.identifier.affiliation | Monash University - School of Clinical Sciences at Monash Health | - |
| dc.identifier.affiliation | Endocrinology | - |
| dc.identifier.doi | https://dx.doi.org/10.1093/jbmr/zjag065 | - |
| dc.publisher.place | United Kingdom | - |
| dc.identifier.pubmedid | 41964513 | - |
| dc.identifier.institution | (Stokes, Trinh, Milat) Centre for Endocrinology & Reproductive Health, Hudson Institute of Medical Research, Clayton, VIC, Australia | - |
| dc.identifier.institution | (Stokes, Trinh, Ebeling, Milat) Department of Medicine, School of Clinical Sciences, Monash University, VIC, Australia | - |
| dc.identifier.institution | (Stokes, Trinh, Ebeling, Milat) Department of Endocrinology, Monash Health, VIC, Australia | - |
| dc.identifier.institution | (Andrew) Peninsula Clinical School, Central Clinical School, Monash University, VIC, Australia | - |
| dc.identifier.institution | (Cadilhac, Borschmann, Kilkenny, Kim) The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, VIC, Australia | - |
| dc.identifier.institution | (Cadilhac, Kilkenny, Kim, Dalli) Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia | - |
| dc.identifier.affiliationmh | (Stokes, Trinh, Milat) Centre for Endocrinology & Reproductive Health, Hudson Institute of Medical Research, Clayton, VIC, Australia | - |
| dc.identifier.affiliationmh | (Stokes, Trinh, Ebeling, Milat) Department of Medicine, School of Clinical Sciences, Monash University, VIC, Australia | - |
| dc.identifier.affiliationmh | (Stokes, Trinh, Ebeling, Milat) Department of Endocrinology, Monash Health, VIC, Australia | - |
| dc.identifier.affiliationmh | (Cadilhac, Kilkenny, Kim, Dalli) Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| item.openairetype | Article In Press | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| crisitem.author.dept | Endocrinology | - |
| Appears in Collections: | Articles | |
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