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Dataset Information

Improved fracture risk prediction by adding VFA-identified vertebral fracture data to BMD by DXA and clinical risk factors used in FRAX.


ABSTRACT: Vertebral fracture (VF) is a strong predictor of subsequent fracture. In this study of older women, VF, identified by dual-energy X-ray absorptiometry (DXA) vertebral fracture assessment (VFA), were associated with an increased risk of incident fractures and had a substantial impact on fracture probability, supporting the utility of VFA in clinical practice.

Purpose

Clinical and occult VF can be identified using VFA with dual-energy X-ray absorptiometry (DXA). The aim of this study was to investigate to what extent VFA-identified VF improve fracture risk prediction, independently of bone mineral density (BMD) and clinical risk factors used in FRAX.

Methods

A total of 2852 women, 75-80 years old, from the prospective population-based study SUPERB cohort, were included in this

SUBMITTER: Johansson L 

PROVIDER: S-EPMC9499899 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature