FRAX® with or without BMDand TBS predicts fragility fractures in community-dwelling rural southern Indian postmenopausal women.

Abstract

There is limited information available with regard to utility of Fracture Risk Assessment Tool (FRAX® tool) in predicting fragility fractures in Indian postmenopausal women. We studied the performance of 3 categories: FRAX® (without BMD), FRAX® (with BMD), and FRAX® (with BMD and TBS) in predicting fragility vertebral fractures in rural postmenopausal women. It was a cross-sectional study conducted at a south Indian tertiary care center. Rural postmenopausal women (n = 301) were recruited by simple random sampling. The risk for major osteoporotic fracture (MOF) and hip fracture (HF) was calculated individually for the 3 categories. The BMD (at lumbar spine and femoral neck) and vertebral fractures were assessed by a DXA (dual energy X-ray absorptiometry) scanner and TBS by TBS iNsight software. ROC curves were constructed, and area under curve (AUC), sensitivity and specificity of FRAX® scores, which would best predict prevalent vertebral fractures (moderate to severe), was computed. The mean (SD) age was 65.6(5.1) years. The prevalence of osteoporosis at spine was 45%, and femoral neck was 32.6%. Moderate to severe vertebral fractures was seen in 29.2% of subjects. The performance of all 3 categories for FRAX® (MOF) and FRAX® (HF) were good (AUC was 0.798, 0.806, and 0.800, respectively, for MOF) at a cut-off score of ≥ 9, and at a cut-off of ≥ 2.5 for HF, it was 0.818, 0.775, and 0.770, respectively. At these cut-offs, sensitivities were 77-89%, and specificities were 55-72% for predicting prevalent vertebral fractures. All three categories of FRAX® showed good performance in predicting fractures in Indian postmenopausal women. Thus, it may be utilized for decision regarding treatment and referral for osteoporosis.