How Many High Risk Korean Patients with Osteopenia Could Overlook Treatment Eligibility?.
- Author:
Dae Hyun YOON
1
;
Dong Hyuk CHOI
;
Hyun Gyun JUNG
;
Ju Young HEO
;
Young Jae JANG
;
Yong Soo CHOI
Author Information
- Publication Type:Original Article
- Keywords: Osteopenia; Risk assessment; Bone mineral density; FRAX
- MeSH: Bone Density; Bone Diseases, Metabolic*; Femur Neck; Hip; Humans; Osteoporosis; Osteoporotic Fractures; Prevalence; Retrospective Studies; Risk Assessment
- From:Asian Spine Journal 2014;8(6):729-734
- CountryRepublic of Korea
- Language:English
- Abstract: STUDY DESIGN: Retrospective study. PURPOSE: To determine the prevalence of high risk patient with osteopenia requiring pharmacologic treatment and investigate the difference of 10-year fracture probability whether bone mineral density (BMD) include or not in Korean FRAX model. OVERVIEW OF LITERATURE: Many people with the fracture have osteopenia rather than osteoporosis, and BMD alone could be considered as a chance to prevent fracture. METHODS: Three hundred sixty-nine patients who was diagnosed as osteopenia were divided into two groups according to age (group 1, under 65 years; group 2, over 65 years), and 10-year fracture probabilities were calculated by FRAX algorithm with and without femur neck T-score. RESULTS: The high risk patients of the fracture who had above 3% of 10-year hip fracture probability were 15 cases in group 1 and 121 cases in group 2. In 193 patients of group 1, the mean 10-year fracture probability with BMD was significantly higher than the results without BMD (hip fracture: p=0.04, major osteoporotic fracture: p=0.01). Unlike the results of the group 1, the mean 10-year fracture probability without BMD was significantly higher than the results with BMD in 176 patients of group 2 (hip fracture: p=0.01, major osteoporotic fracture: p=0.01). CONCLUSIONS: Total of 136 cases (36.8%) as a high risk of the fracture with osteopenia could be overlooked treatment eligibility in Korean. The Korean FRAX model without BMD could be effective in predicting fracture risk especially in the individuals who were over 65 years.
