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Modeling fracture risk using bone density, age, and years since menopause
1Endocrine-Hypertension Division, Brigham and Women's Hospital, Boston, MA 02115, USA.
American Journal of Preventive Medicine
|January 7, 1998
Summary
A new clinical decision aid helps predict lifetime fracture risk using bone mineral density and other factors. This tool aids physicians in initiating timely preventive therapies for osteoporosis.
Area of Science:
- Osteoporosis research
- Geriatric medicine
- Preventive healthcare
Background:
- Osteoporosis prevention is crucial for reducing fracture incidence.
- Simple algorithms for predicting individual fracture risk are limited.
- Physicians need tools to identify individuals at high risk for fractures.
Purpose of the Study:
- To develop a clinical decision aid for projecting lifetime fracture risk.
- To enable physicians to initiate timely osteoporosis preventive therapies.
Main Methods:
- Developed a predictor equation for bone loss using bone mineral density (BMD), age, menopausal years, and weight.
- Applied the equation to 117 women (ages 40-80) in osteoporosis screening studies.
- Defined a high-risk BMD cutoff (0.86 gm/cm2) for vertebral fractures.
Main Results:
- Established a spinal BMD cutoff with 90% sensitivity and 60% specificity for vertebral fractures.
- Derived prediction curves to forecast the age of reaching high-risk BMD.
- Estimated remaining life-years at high risk for fractures based on individual clinical data.
Conclusions:
- Proposed a framework for a clinical decision aid to guide osteoporosis prevention.
- Highlighted the need for longitudinal studies with additional variables (e.g., prevalent fractures, bone turnover markers) for model validation.