The University of Southampton
University of Southampton Institutional Repository

Fracture probability is predictive of fall-associated hospitalization: the Manitoba BMD Registry

Fracture probability is predictive of fall-associated hospitalization: the Manitoba BMD Registry
Fracture probability is predictive of fall-associated hospitalization: the Manitoba BMD Registry

The current version of FRAX® does not consider prior falls as a primary input variable. Limited data suggest that greater FRAX-derived fracture probability is associated with incident falls at least in elderly men. Our aim was to examine the association of FRAX-derived fracture probability with the risk for subsequent fall-associated hospitalizations. We identified individuals aged 40 years or older at the time of baseline DXA with FRAX-derived major osteoporotic fracture (MOF) probability assessed through the Manitoba BMD Program. We used linkage with population-based data to identify subsequent hospitalization that included a fall diagnosis code. Sensitivity analyses examined fall-associated hospitalizations unrelated to a concurrent fracture (diagnosed within 30 days). Cox regression was used to estimate hazard ratios (HR) for time to fall-associated hospitalization according to MOF probability without and with BMD (per SD increase and also for individual variables in the FRAX tool). The study comprised 88,684 individuals, mean age 64.6 years, 89.5% female. During mean 8.6 years observation (total 759,963 person-years), 9715 (11.0%) individuals experienced a fall-associated hospitalization; of these, 3363 (3.8%) were unrelated to concurrent fracture. Every SD increase in MOF fracture probability was strongly associated with fall-associated hospitalization (without BMD HR 2.47, 95%CI 2.41-2.52; with BMD HR 2.48, 95%CI 2.43-2.53). No significant interaction was seen between fracture probability and follow-up time (p=0.516). Findings were similar when restricted to individuals with falls unrelated to concurrent fracture, when adjusted for previous fall-associated hospitalization (last 3 years) or self-reported fall (last 12 months), when restricted to individuals without previous falls, and for FRAX-derived hip fracture probability. All FRAX variables except for parental hip fracture showed a positive relationship with fall-associated hospitalization. In conclusion, FRAX-derived fracture probability is strongly associated with risk for future fall-associated hospitalization, including falls unrelated to concurrent fracture.

0884-0431
Zarzour, Fatima
3de9b6ea-ffbd-46aa-82cf-5a558694c4b2
McCloskey, Eugene V.
2f057a16-3d4e-4597-80c7-6ce47f969c78
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
Zarzour, Fatima
3de9b6ea-ffbd-46aa-82cf-5a558694c4b2
McCloskey, Eugene V.
2f057a16-3d4e-4597-80c7-6ce47f969c78
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

Zarzour, Fatima, McCloskey, Eugene V., Johansson, Helena, Harvey, Nicholas C., Kanis, John A. and Leslie, William D. (2026) Fracture probability is predictive of fall-associated hospitalization: the Manitoba BMD Registry. Journal of Bone and Mineral Research, [zjag020]. (doi:10.1093/jbmr/zjag020).

Record type: Article

Abstract

The current version of FRAX® does not consider prior falls as a primary input variable. Limited data suggest that greater FRAX-derived fracture probability is associated with incident falls at least in elderly men. Our aim was to examine the association of FRAX-derived fracture probability with the risk for subsequent fall-associated hospitalizations. We identified individuals aged 40 years or older at the time of baseline DXA with FRAX-derived major osteoporotic fracture (MOF) probability assessed through the Manitoba BMD Program. We used linkage with population-based data to identify subsequent hospitalization that included a fall diagnosis code. Sensitivity analyses examined fall-associated hospitalizations unrelated to a concurrent fracture (diagnosed within 30 days). Cox regression was used to estimate hazard ratios (HR) for time to fall-associated hospitalization according to MOF probability without and with BMD (per SD increase and also for individual variables in the FRAX tool). The study comprised 88,684 individuals, mean age 64.6 years, 89.5% female. During mean 8.6 years observation (total 759,963 person-years), 9715 (11.0%) individuals experienced a fall-associated hospitalization; of these, 3363 (3.8%) were unrelated to concurrent fracture. Every SD increase in MOF fracture probability was strongly associated with fall-associated hospitalization (without BMD HR 2.47, 95%CI 2.41-2.52; with BMD HR 2.48, 95%CI 2.43-2.53). No significant interaction was seen between fracture probability and follow-up time (p=0.516). Findings were similar when restricted to individuals with falls unrelated to concurrent fracture, when adjusted for previous fall-associated hospitalization (last 3 years) or self-reported fall (last 12 months), when restricted to individuals without previous falls, and for FRAX-derived hip fracture probability. All FRAX variables except for parental hip fracture showed a positive relationship with fall-associated hospitalization. In conclusion, FRAX-derived fracture probability is strongly associated with risk for future fall-associated hospitalization, including falls unrelated to concurrent fracture.

Text
zjag020 - Version of Record
Download (491kB)

More information

Accepted/In Press date: 21 January 2026
e-pub ahead of print date: 28 January 2026
Published date: 13 February 2026

Identifiers

Local EPrints ID: 509706
URI: http://eprints.soton.ac.uk/id/eprint/509706
ISSN: 0884-0431
PURE UUID: 03886610-d7e5-4dc1-937e-1813df42d9cc
ORCID for Nicholas C. Harvey: ORCID iD orcid.org/0000-0002-8194-2512

Catalogue record

Date deposited: 03 Mar 2026 17:38
Last modified: 07 Mar 2026 02:57

Export record

Altmetrics

Contributors

Author: Fatima Zarzour
Author: Eugene V. McCloskey
Author: Helena Johansson
Author: John A. Kanis
Author: William D. Leslie

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×