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A meta-analysis of previous falls and subsequent fracture risk in cohort studies

A meta-analysis of previous falls and subsequent fracture risk in cohort studies
A meta-analysis of previous falls and subsequent fracture risk in cohort studies

Summary: the relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm.

Introduction: previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD).

Methods: the resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients.

Results: falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33-1.51) and men (HR 1.53, 95% CI 1.41-1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27-1.84) in men vs. HR 1.32 (95% CI 1.20-1.45) in women, P for interaction = 0.013). The HRs associated with previous falls decreased with age in women and with duration of follow-up in men and women for most fracture outcomes. There was no evidence of an interaction between falls and BMD for fracture risk. Subsequent risk for a major osteoporotic fracture increased with each additional previous fall in women and men.

Conclusions: a previous self-reported fall confers an increased risk of fracture that is largely independent of BMD. Previous falls should be considered as an additional risk factor in future iterations of FRAX to improve fracture risk prediction.

fracture risk, hip fracture, major osteoporotic fracture, meta-analysis, previous falls, risk factors
0937-941X
469-494
Vandenput, Liesbeth
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Johansson, Helena
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et al.
Vandenput, Liesbeth
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Beaudart, Charlotte
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Vandenput, Liesbeth, Johansson, Helena and McCloskey, Eugene V. , et al. (2024) A meta-analysis of previous falls and subsequent fracture risk in cohort studies. Osteoporosis International, 35 (3), 469-494. (doi:10.1007/s00198-023-07012-1).

Record type: Article

Abstract

Summary: the relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm.

Introduction: previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD).

Methods: the resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients.

Results: falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33-1.51) and men (HR 1.53, 95% CI 1.41-1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27-1.84) in men vs. HR 1.32 (95% CI 1.20-1.45) in women, P for interaction = 0.013). The HRs associated with previous falls decreased with age in women and with duration of follow-up in men and women for most fracture outcomes. There was no evidence of an interaction between falls and BMD for fracture risk. Subsequent risk for a major osteoporotic fracture increased with each additional previous fall in women and men.

Conclusions: a previous self-reported fall confers an increased risk of fracture that is largely independent of BMD. Previous falls should be considered as an additional risk factor in future iterations of FRAX to improve fracture risk prediction.

Text
FRAX-2 Previous falls v7 - Accepted Manuscript
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Accepted/In Press date: 27 December 2023
e-pub ahead of print date: 17 January 2024
Published date: March 2024
Additional Information: Funding information: NC Harvey acknowledges funding from the UK Medical Research Council (MC_PC_21003; MC_PC_21001). The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services through 75N92021D00001, 75N92021D00002, 75N92021D00003, 75N92021D00004, and 75N92021D00005. Funding for the MrOS USA study comes from the National Institute on Aging (NIA), the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Center for Advancing Translational Sciences (NCATS), and NIH Roadmap for Medical Research under the following grant numbers: U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, and UL1 TR000128. Funding for the SOF study comes from the National Institute on Aging (NIA), and the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), supported by grants (AG05407, AR35582, AG05394, AR35584, and AR35583). Funding for the Health ABC study was from the Intramural research program at the National Institute on Aging under the following contract numbers: NO1-AG-6–2101, NO1-AG-6–2103, and NO1-AG-6–2106. Publisher Copyright: © International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation 2024.
Keywords: fracture risk, hip fracture, major osteoporotic fracture, meta-analysis, previous falls, risk factors

Identifiers

Local EPrints ID: 486402
URI: http://eprints.soton.ac.uk/id/eprint/486402
ISSN: 0937-941X
PURE UUID: f8c45e55-5822-40a9-9548-9cb9a640f671
ORCID for Cyrus Cooper: ORCID iD orcid.org/0000-0003-3510-0709
ORCID for Nicholas C. Harvey: ORCID iD orcid.org/0000-0002-8194-2512

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Date deposited: 19 Jan 2024 17:38
Last modified: 14 Aug 2024 01:39

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Contributors

Author: Liesbeth Vandenput
Author: Helena Johansson
Author: Eugene V. McCloskey
Author: Enwu Liu
Author: Marian Schini
Author: Kristina E. Åkesson
Author: Fred A. Anderson
Author: Rafael Azagra
Author: Cecilie L. Bager
Author: Charlotte Beaudart
Author: Heike A. Bischoff-Ferrari
Author: Emmanuel Biver
Author: Olivier Bruyère
Author: Jane A. Cauley
Author: Jacqueline R. Center
Author: Roland Chapurlat
Author: Claus Christiansen
Author: Cyrus Cooper ORCID iD
Author: Carolyn J. Crandall
Author: Steven R. Cummings
Author: José A.P. da Silva
Author: Bess Dawson-Hughes
Author: Adolfo Diez-Perez
Author: Alyssa B. Dufour
Author: John A. Eisman
Author: Petra J.M. Elders
Author: Serge Ferrari
Author: Yuki Fujita
Author: Saeko Fujiwara
Author: Claus-Christian Glüer
Author: Inbal Goldshtein
Author: David Goltzman
Author: Vilmundur Gudnason
Author: Jill Hall
Author: Didier Hans
Author: Mari Hoff
Author: Rosemary J. Hollick
Author: Martijn Huisman
Author: Masayuki Iki
Author: Sophia Ish-Shalom
Author: Graeme Jones
Author: Magnus K. Karlsson
Author: Sundeep Khosla
Author: Douglas P. Kiel
Author: Woon-Puay Koh
Author: Fjorda Koromani
Author: Mark A Kotowicz
Author: Heikki Kröger
Author: Tjeerd P. van Staa
Corporate Author: et al.

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