Fracture Risk Indices From DXA-Based Finite Element Analysis Predict Incident Fractures Independently From FRAX: The Manitoba BMD Registry.


Journal

Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
ISSN: 1094-6950
Titre abrégé: J Clin Densitom
Pays: United States
ID NLM: 9808212

Informations de publication

Date de publication:
Historique:
received: 24 12 2018
revised: 02 02 2019
accepted: 05 02 2019
pubmed: 11 3 2019
medline: 4 7 2020
entrez: 11 3 2019
Statut: ppublish

Résumé

Finite element analysis (FEA) is a computational method to predict the behavior of materials under applied loading. We developed a software tool that automatically performs FEA on dual-energy X-ray absorptiometry hip scans to generate site-specific fracture risk indices (FRIs) that reflect the likelihood of hip fracture from a sideways fall. This longitudinal study examined associations between FRIs and incident fractures. Using the Manitoba Bone Mineral Density (BMD) Registry, femoral neck (FN), intertrochanter (IT), and subtrochanter (ST) FRIs were automatically derived from 13,978 anonymized dual-energy X-ray absorptiometry scans (Prodigy, GE Healthcare) in women and men aged 50 yr or older (mean age 65 yr). Baseline covariates and incident fractures were assessed from population-based data. We compared c-statistics for FRIs vs FN BMD alone and fracture risk assessment (FRAX) probability computed with BMD. Cox regression was used to estimate hazard ratios and 95% confidence intervals (95% CIs) for incident hip, major osteoporotic fracture (MOF) and non-hip MOF adjusted for relevant covariates including age, sex, FN BMD, FRAX probability, FRAX risk factors, and hip axis length (HAL). During mean follow-up of 6 yr, there were 268 subjects with incident hip fractures, 1003 with incident MOF, and 787 with incident non-hip MOF. All FRIs gave significant stratification for hip fracture (c-statistics FN-FRI: 0.76, 95% CI 0.73-0.79, IT-FRI 0.74, 0.71-0.77; ST-FRI 0.72, 0.69-0.75). FRIs continued to predict hip fracture risk even after adjustment for age and sex (hazard ratio per standard deviation FN-FRI 1.89, 95% CI 1.66-2.16); age, sex, and BMD (1.26, 1.07-1.48); FRAX probability (1.30, 1.11-1.52); FRAX probability with HAL (1.26, 1.05-1.51); and individual FRAX risk factors (1.32, 1.09-1.59). FRIs also predicted MOF and non-hip MOF, but the prediction was not as strong as for hip fracture. Automatically-derived FN, IT, and ST FRIs are associated with incident hip fracture independent of multiple covariates, including FN BMD, FRAX probability and risk factors, and HAL.

Identifiants

pubmed: 30852033
pii: S1094-6950(18)30281-6
doi: 10.1016/j.jocd.2019.02.001
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

338-345

Informations de copyright

Copyright © 2019 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

Auteurs

William D Leslie (WD)

Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada; Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada. Electronic address: bleslie@sbgh.mb.ca.

Yunhua Luo (Y)

Department of Mechanical Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.

Shuman Yang (S)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada; Department of Biomedical Engineering, Polytech Marseille, Marseille, France.

Andrew L Goertzen (AL)

Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada.

Sharif Ahmed (S)

Department of Mechanical Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.

Isabelle Delubac (I)

Department of Biomedical Engineering, Polytech Marseille, Marseille, France.

Lisa M Lix (LM)

Department of Biomedical Engineering, Polytech Marseille, Marseille, France.

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