Adjusting conventional FRAX estimates of fracture probability according to the number of prior falls in the preceding year
Authors' conclusion
The probability ratios provide adjustments to conventional FRAX estimates of fracture probability according to the number of prior falls.
Study context
- Population
- Women and men aged 40 years or older with FRAX assessment, self-reported falls for the previous year and subsequent fracture outcomesmean age 65.7 ± 10.1 years
- Participants
- 21,116 women
- Exposure
- Number of prior falls in the preceding year vs the whole population
- Outcome
- Effect of the number of prior falls on the 10-year probability of fracture determined with FRAX (probability ratios: number of falls vs average number of falls)
- Follow-up
- 10 years
Methodological detailsCox proportional hazards regression, FRAX model for the UK
- Cox proportional hazards regression
- FRAX model for the UK
Main finding
As reported in the abstract
- The probability ratio rose progressively as the number of reported falls increased
- Probability ratios decreased with age, more marked the greater the number of prior falls
Observational data: associations, not effects.
Further findings
HRs for hip fracture, MOF-NH and death vs average number of falls
- HRs lower than unity in the absence of a fall history
- HRs increased progressively with an increasing number of reported falls
Original publication
Adjusting conventional FRAX estimates of fracture probability according to the number of prior falls in the preceding year. Osteoporos Int. Published 23 December 2022. doi:10.
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