- Calcium & Bone Metabolism
- 10-Year Fracture Risk in Postmenopausal Women with Osteopenia and Osteoporosis in South Korea
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Yeon-Hee Baek, Sun Wook Cho, Han Eol Jeong, Ju Hwan Kim, Yunji Hwang, Jeffrey L. Lange, Ju-Young Shin
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Endocrinol Metab. 2021;36(6):1178-1188. Published online December 16, 2021
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DOI: https://doi.org/10.3803/EnM.2021.1215
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 Abstract
 PDF Supplementary Material PubReader  ePub  Crossref - TDM
- Background
In South Korea, women aged 66 years are eligible for complimentary bone mineral density (BMD) screening via the National Screening Program for Transitional Ages. We aimed to evaluate the 10-year fracture risk in women receiving BMD screening between January 2008 and December 2015.
Methods
BMD was classified as normal (T-score ≥–1.0 standard deviation [SD]), osteopenia (T-score <–1.0 SD and >–2.5 SD), and osteoporosis (T score ≤–2.5 SD) from dual-energy X-ray absorptiometry. Follow-up continued from the screening date until a diagnosis for clinical fragility fracture (including sites of the vertebrae, hip, pelvis, clavicle, humerus, forearm, wrist, lower leg, and ankle), censored at the earliest date of trauma, death, or December 2017; fracture was ascertained using diagnostic codes from the National Health Insurance Service database. A multivariable Cox proportional hazard model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of fracture in women with osteopenia or osteoporosis relative to women with normal BMD.
Results
Among the 271,197 women screened, 44.0% had osteopenia and 35.2% had osteoporosis. The 10 year cumulative incidence of fragility fractures was 31.1%, 37.5%, and 44.3% in women with normal BMD, osteopenia, and osteoporosis, respectively. Fracture risk was higher in women with osteopenia (HR, 1.31; 95% CI, 1.28 to 1.34) and osteoporosis (HR, 1.68; 95% CI, 1.64 to 1.72) than in women with normal BMD.
Conclusion
Women with osteopenia and women with osteoporosis, identified by the national BMD screening program, demonstrated a substantially elevated risk of fracture.
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Citations
Citations to this article as recorded by  - Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
Endocrinology and Metabolism.2023; 38(1): 10. CrossRef - A Meaningful Journey to Predict Fractures with Deep Learning
Jeonghoon Ha
Endocrinology and Metabolism.2022; 37(4): 617. CrossRef - The Efficacy of Selective Estrogen Receptor Modulators Monotherapies in Postmenopausal Women with Osteopenia
Kyung Wook Kim, Young Il Kim, Ki-Choul Kim
Journal of Bone Metabolism.2022; 29(3): 185. CrossRef - Correlation of Psoas Muscle Index with Fragility Vertebral Fracture: A Retrospective Cross-Sectional Study of Middle-Aged and Elderly Women
Yihui Zhang, Yilihamu Dilixiati, Wei Jiang, Xiufeng Cao, Yuanyuan Chen, Hui Guo, Christian-Heinz Anderwald
International Journal of Endocrinology.2022; 2022: 1. CrossRef
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