A Fracture Risk Assessment Tool for High Resolution Peripheral Quantitative Computed Tomography
Authors' conclusion
We developed a personalized fracture risk assessment tool based on HR-pQCT that may provide an alternative approach to current clinical methods by leveraging direct measures of bone density and structure.
Study context
- Population
- Older adults, international prospective cohort
- Participants
- 6,802 adults
- Comparison
- μFRAC vs FRAX vs FN aBMD reference model
- Outcome
- Prediction of osteoporotic fracture (c-index)
Methodological detailsinternational prospective cohort, random survival forests
- International prospective cohort
- Random survival forests
Performance
As reported in the abstract
Osteoporotic fracture prediction
| Test or model | Value | C-index |
|---|---|---|
| μFRAC | 0.673 | 0.673 |
| FRAX | 0.617 | 0.617 |
| FN aBMD | 0.636 | 0.636 |
Value
μFRAC0.673
FRAX0.617
FN aBMD0.636
C-index
μFRAC0.673
FRAX0.617
FN aBMD0.636
- μFRAC predictive of osteoporotic fracture
- P < 0.001
Further findings
| Outcome | μFRAC |
|---|---|
| Major osteoporotic fractures only | |
| C-index | 0.733 |
- Major osteoporotic fractures only — μFRAC predictive of major osteoporotic fracture
- p < 0.001
μFRAC without FN aBMD and clinical risk factors except age · 5-year and 10-year fracture risk
- Removal did not significantly impact performance
Original publication
A Fracture Risk Assessment Tool for High Resolution Peripheral Quantitative Computed Tomography. J Bone Miner Res. Published 3 May 2023. doi:10. 1002/ jbmr. 4808
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