Early diagnosis of osteoporosis and estimation of subjects that are at high risk for fracture, is neccesary for osteoporosis treatment. Dual-energy X-ray absorptometry (DXA) is a modern method for bone mineral density (BMD) evaluation. However, along BMD, clinical risk factors may significantly influence fracture development. Therefore, FRAX algorithm was designed for the assessment of a ten-year risk for serious osteoporotic fractures (SOF), as well as hip fractures. In the current study, we tried to evaluate the possible lumbal spine and hip BMD influence on ten year risk for SOF and hip fractures and potential role of FRAX in predicting the therapy in postmenopausal women with osteopenia. We performed the study on 385 postmenopausal women. According to the DXA measurements, at the lumbal (L) spine (L1–L4) and hip (femor neck), patients were then classified as normal, osteopenic, or osteoporotic. BMD evaluation included the L spine and the hip (subgroup 1), and only on the L spine (subgroup 2). By filling up the FRAX questionnaire, a ten-year risk for SOF fracture and hip fracture was calculated. BMD evaluation, in complete patient’s group and in subgroup 1, resulted in the highest number of osteoporosis (61.04%, 48.08%, retrospectively), while ospeopenia was a main finding in subgroup 2. In the subgroup 1, a high risk for SOF and hip fracture was detected in 16.45% and with high risk for hip fracture in 11.38% subjects. In subgroup 2, only high risk for hip fracture was observed in 3.16% subjects, indicating the active medicament treatment. Simultaneously, correlation of BMD results with FRAX values for SOF and hip fracture, showed significant negative correlation (p<0.001). Obtained results showed significant role of femur neck BMD evaluation in predicting the future factors, which may, together with FRAX analysis, improve the therapy approach in postmenopausal women with ospeopenia.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.