A risk prediction utility to identify accurately the individuals at high risk of osteoporotic fracture who might benefit from a therapeutic or preventive intervention has been a necessity since identifying people at high risk will help in reducing the morbidity associated with osteoporotic fractures (1)
The traditionally used approach has been to use the bone mineral density (BMD) measurements
Risk prediction algorithms tend to perform best when they are developed in a clinical setting in which they will be applied (1).
Available fracture risk assessment tools include:
Reference:
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