A new hip fracture risk index derived from FEA-computed proximal femur fracture loads and energies-to-failure
Authors' conclusion
The global FEA-computed fracture risk index increased hip fracture risk prediction accuracy in males.
Study context
- Population
- Hip fracture subjects and age- and sex-matched control subjects from the AGES-Reykjavik study110 fracture, 235 controls
- Comparison
- Global FEA-computed fracture risk index (principal component (PC1)) vs all finite element (FE) parameters combined for hip fracture prediction
- Outcome
- Prediction performance for incident hip fracture (AUC)
Methodological detailsage- and sex-matched, principal component analysis, logistic regression, stratified resampling
- Age- and sex-matched
- Principal component analysis
- Logistic regression
- Stratified resampling
Main finding
As reported in the abstract
Hip fracture prediction
- PC1 was the significant predictor of hip fracture
- p-value < 0.001
Observational data: associations, not effects.
Further findings
| Outcome | PC1 | All FE parameters combined | P value |
|---|---|---|---|
| AUC for hip fracture prediction in males (subgroup) | P < 0.001 | ||
| AUC | 0.776 | 0.737 |
Original publication
A new hip fracture risk index derived from FEA-computed proximal femur fracture loads and energies-to-failure. Osteoporos Int. Published 22 January 2024. doi:10.
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