Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment
Authors' conclusion
simultaneous automated ascertainment of auto-PVFx and auto-AAC can aid fracture risk assessment.
Study context
- Population
- Individuals with a BMD test combined with vertebral fracture assessment (VFA), March 2010–December 2017; mean (SD) age 75.8 (6.8) years, 93.3% female
- Participants
- 11,013 individuals
- Exposure
- Auto-PVFx vs none; high vs low auto-AAC
- Auto-PVFxn = 1,881
- High auto-AACn = 2,974
- Outcome
- Incident major osteoporotic fracture
- Follow-up
- Mean (SD) 3.7 (2.2) years
Methodological detailsroutine clinical practice, automated ascertainment using convolutional neural networks
- Routine clinical practice
- Automated ascertainment using convolutional neural networks
Main finding
As reported in the abstract
Multivariable-adjusted HR (95% CI)
Auto-PVFxvs No auto-PVFx
1.85(1.59–2.15)
High auto-AACvs Low auto-AAC
1.36(1.14–1.62)
Observational data: associations, not effects.
Further findings
| Outcome | Multivariable-adjusted HR (95% CI) | |
|---|---|---|
| Incident hip fractureAuto-PVFxvs No auto-PVFx | 1.62 (1.26–2.07) | |
| Incident hip fractureHigh auto-AACvs Low auto-AAC | 1.55 (1.15–2.09) | |
| 0.512Multivariable-adjusted HR (log scale) |
5-year cumulative incidence of major osteoporotic fracture by combined status
- No auto-PVFx and low auto-AAC
- 7.1%
- No auto-PVFx and high auto-AAC
- 10.1%
- Auto-PVFx and low auto-AAC
- 13.4%
- Auto-PVFx and high auto-AAC
- 18.0%
Original publication
Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment. J Bone Miner Res. Published 3 May 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →