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Bone Phenotype Assessed by HRpQCT and Associations with Fracture Risk in the GLOW Study.
A E Litwic1, L D Westbury1, D E Robinson2
1MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Calcified Tissue International
|September 16, 2017
Summary
High-resolution imaging (HRpQCT) reveals distinct bone characteristics associated with fracture risk in postmenopausal women. Findings at the radius align with previous studies, suggesting HRpQCT
Area of Science:
- Osteoporosis research
- Bone densitometry
- Geriatric medicine
Background:
- Fractures in postmenopausal women are a significant health concern.
- Previous studies like the Global Longitudinal study of Osteoporosis in Women (GLOW) explored epidemiology and pathogenesis.
- The relationship between bone imaging outcomes and fracture risk in the GLOW cohort remained unexamined.
Purpose of the Study:
- To investigate the association between high-resolution peripheral quantitative computed tomography (HRpQCT) parameters and fracture incidence.
- To compare HRpQCT findings in the UK GLOW cohort with older participants from the Hertfordshire Cohort Study (HCS).
- To extend fracture risk analysis to include tibial HRpQCT measurements.
Main Methods:
- Analysis of fracture events in 321 postmenopausal women (mean age 70.6 years) from the UK GLOW study.
- HRpQCT of the distal radius and tibia, and dual-energy X-ray absorptiometry (DXA) of the hip were performed.
- Cluster analysis was used to identify distinct bone phenotypes at each site and assess fracture risk.
Main Results:
- Two radial clusters (3 and 4) showed significantly lower hip bone mineral density (BMD) than Cluster 1; only Cluster 4 had significantly higher fracture risk.
- At the tibia, clusters 1, 3, and 4 had lower hip BMD than Cluster 2; Cluster 3 exhibited significantly higher fracture risk.
- Radial HRpQCT findings in GLOW were comparable to HCS, suggesting utility in fracture risk assessment.
Conclusions:
- HRpQCT parameters, particularly at the radius, provide valuable insights into fracture risk in postmenopausal women.
- Combining HRpQCT variables may enhance fracture risk prediction in populations where this technology is available.
- Tibial HRpQCT data offers further information on fracture phenotypes, warranting validation in other studies.
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