FRAX-based osteoporosis treatment guidelines for resource-poor settings in India.

UNLABELLED

Using the FRAX® model for India, thresholds for osteoporosis evaluation and treatment without bone mineral density measurement were derived and were validated in a cohort of 300 patients. We suggest the use of this newer age and ethnic-specific FRAX®-derived thresholds for management of osteoporosis in India.

PURPOSE

Our study aimed to formulate population-specific intervention thresholds for treatment of osteoporosis in India which can be used even without dual X-ray absorptiometry (DXA).

METHODS

Using the FRAX® model for India, thresholds for different age groups for men and women were calculated without bone mineral density (BMD) measurement. The lower assessment threshold (LAT) was based on the 10-year probability of a major osteoporosis fracture (MOF) or hip fracture (HF) equivalent to patients without clinical risk factors. The intervention threshold (IT) was based on the 10-year probability equivalent to patients with fracture. The upper assessment threshold (UAT) was set at 1.2 times the IT. Probability-based thresholds for no intervention (LAT), treatment initiation (UAT) and BMD assessment (between LAT and UAT) were derived. The thresholds were validated in a cohort of 300 patients who were referred for BMD testing.

RESULTS

Graphs for age, gender, BMI and ethnic-specific LAT, IT and UAT for MOF and HF are derived. In the validation cohort, BMD testing to initiate/defer treatment was required in only 32.3% patients. The intervention thresholds derived without BMD testing were valid in 98.7% patients. Use of National Osteoporosis Foundation (NOF) guidelines would have resulted in overtreatment in 56/300 (18.6%) patients.

CONCLUSION

We suggest the use of this newer age and ethnic-specific FRAX®-derived thresholds for management of osteoporosis. Adopting these cut-offs will ensure that those requiring osteoporosis treatment will not be denied of it just because of lack of a DXA machine and will also help avoid overtreatment.