When to start treating a patient with osteoporosis is not always clear. A prediction model may work for populations yet not identify the patient who will actually have a fracture. Kanis et al considered various economic factors that may help identify when it is cost effective to start treatment.
Factors to consider:
(1) social and cultural factors in a country
(2) cost of osteoporotic complications in a society
(3) cost of interventions to prevent the fracture
(4) economic resources available
(5) how bone density is measured
(6) what fracture risk is being targeted
The decision to treat can be based on:
(1) the age of the patient and the 10 year fracture probability
(2) bone density, age and clinical history of history of fracture
For the United Kingdom, a variety of thresholds for treatment were identified that are cost effective. Other countries or populations may select different thresholds. These thresholds will change over time.
Clinical rules - one or more of the following:
(1) age >= 65 years AND history of prior osteoporotic fracture
(2) age >= 60 years AND T-score at femoral neck -2.5
(3) history of prior osteoporotic fracture AND T-score at femoral neck -2.5
(4) T score at femoral neck < -2.5
The authors also determined the 10 year hip fracture probability at which treatment became cost effective. The thresholds were based on the bone density at the femoral neck and included considerations of osteoporotic fracture risk at other sites .
Age |
10 Year Probability of Hip Fracture |
50 |
1.1 |
55 |
1.8 |
60 |
2.6 |
65 |
3.7 |
70 |
5.2 |
75 |
6.9 |
80 |
8.5 |
85 |
9.0 |
This data can be approximated by:
Age |
Threshold in percent |
50 to 75 |
(0.005314 * ((age)^2)) - (0.4346 * (age)) + 9.574 |
75 to 80 |
(0.33 * (age)) - 17.88 |
80 to 85 |
(0.094 * (age)) + 1 |
85 to 90 |
(-0.374 * (age)) + 40.78 |
Specialty: Surgery, orthopedic, Endocrinology, Nutrition
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