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Updated: Jun 4, 2026
Development of a Novel Internal Fixation Model for Rat Radial Fractures: Fracture Healing Assessment and Dorsal Root Ganglion Isolation
Published on: March 13, 2026
Fracture risk score and absolute risk of fracture
Margaret J Henry1, Julie A Pasco, Elizabeth N Merriman
1Department of Clinical and Biomedical Sciences-Barwon Health, Epidemiology and Biostatistics Unit, University of Melbourne, PO Box 281, Geelong, VIC 3220, Australia. margh@BarwonHealth.org.au
Purpose:
To report the 5- and 10-year absolute risk of fracture associated with the previously reported fracture risk (FRISK) score.
Materials And Methods:
All participants gave written, informed consent, and the Barwon Health Human Research Ethics Committee approved the study. An age-stratified population-based sample of women aged 60 years and older (n = 600) was recruited during 1994-1996. FRISK scores of 0-10 incorporating bone mineral density (BMD) at two sites (hip and spine), falls scores in the previous 12 months of 1-4, weight, and number of fractures as an adult were calculated. Fractures of the hip, spine, humerus, and wrist were ascertained during a median follow-up period of 9.6 years (interquartile range, 6.6-10.5). The cumulative probability of fracture at 5 and 10 years after baseline measurements was calculated by using actuarial methods. The utility of this model was compared with other FRISK algorithms, including the World Health Organization FRISK assessment tool FRAX designed for United Kingdom and that designed for the United States and the Garvan nomogram (Australia).
Results:
This study supplies the 5- and 10-year absolute risk of fracture associated with all levels of the FRISK score. While there are modest differences in absolute risk of fracture seen for different numbers of prior fractures, the more marked differences occur across the different categories of falls scores and different categories of BMD. The receiver operating characteristic curves showed no significant difference in area under the curve for all four absolute risk of fracture algorithms.
Conclusion:
Absolute risk of fracture can be determined by using readily obtainable clinical information that may aid treatment decisions.
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