Endocrinol Metab.  2020 Jun;35(2):359-366. 10.3803/EnM.2020.35.2.359.

Low Predictive Value of FRAX Adjusted by Trabecular Bone Score for Osteoporotic Fractures in Korean Women: A Community-Based Cohort Study

Affiliations
  • 1Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
  • 2Department of Internal Medicine, Ilsan Cha Medical Center, Goyang, Korea
  • 3Department of Anatomy, Seoul National University College of Medicine, Seoul, Korea
  • 4Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea
  • 5Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, Korea
  • 6Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea

Abstract

Background
The value of the Fracture Risk Assessment Tool (FRAX) and the trabecular bone score (TBS) for assessing osteoporotic fracture risk has not been fully elucidated in Koreans. We conducted this study to clarify the predictive value of FRAX adjusted by TBS for osteoporotic fractures in Korean women.
Methods
After screening 7,192 eligible subjects from the Ansung cohort, 1,165 women aged 45 to 76 years with available bone mineral density (BMD) and TBS data were enrolled in this study. We assessed their clinical risk factors for osteoporotic fractures and evaluated the predictive value of FRAX with or without BMD and TBS.
Results
During the mean follow-up period of 7.5 years, 99 (8.5%) women suffered major osteoporotic fractures (MOFs) and 28 (2.4%) experienced hip fractures. FRAX without BMD, BMD-adjusted FRAX, and TBS-adjusted FRAX were significantly associated with the risk of MOFs (hazard ratio [HR] per percent increase, 1.08; 95% confidence interval [CI], 1.03 to 1.14; HR, 1.09; 95% CI, 1.03 to 1.15; and HR, 1.07; 95% CI, 1.02 to 1.13, respectively). However, BMD-adjusted FRAX and TBS-adjusted FRAX did not predict MOFs better than FRAX without BMD based on the Harrell’s C statistic. FRAX probabilities showed limited value for predicting hip fractures. The cut-off values of FRAX without BMD, FRAX with BMD, and FRAX with BMD adjusted by TBS for predicting MOFs were 7.2%, 5.0%, and 6.7%, respectively.
Conclusion
FRAX with BMD and TBS adjustment did not show better predictive value for osteoporotic fractures in this study than FRAX without adjustment. Moreover, the cut-off values of FRAX probabilities for treatment might be lower in Korean women than in other countries.

Keyword

Osteoporosis; Osteoporotic fracture; Risk assessment; Bone density; Fracture risk assessment tool; Trabecular bone score

Reference

1. Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis. Am J Med. 1993; 94:646–50.
2. Center JR, Nguyen TV, Schneider D, Sambrook PN, Eisman JA. Mortality after all major types of osteoporotic fracture in men and women: an observational study. Lancet. 1999; 353:878–82.
Article
3. Johnell O, Kanis JA, Oden A, Sernbo I, Redlund-Johnell I, Petterson C, et al. Mortality after osteoporotic fractures. Osteoporos Int. 2004; 15:38–42.
Article
4. Bliuc D, Nguyen ND, Milch VE, Nguyen TV, Eisman JA, Center JR. Mortality risk associated with low-trauma osteoporotic fracture and subsequent fracture in men and women. JAMA. 2009; 301:513–21.
Article
5. Park C, Ha YC, Jang S, Jang S, Yoon HK, Lee YK. The incidence and residual lifetime risk of osteoporosis-related fractures in Korea. J Bone Miner Metab. 2011; 29:744–51.
Article
6. Johnell O, Kanis JA, Oden A, Johansson H, De Laet C, Delmas P, et al. Predictive value of BMD for hip and other fractures. J Bone Miner Res. 2005; 20:1185–94.
Article
7. Theodorou DJ, Theodorou SJ. Dual-energy X-ray absorptiometry in clinical practice: application and interpretation of scans beyond the numbers. Clin Imaging. 2002; 26:43–9.
8. Kanis JA. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report. WHO Study Group. Osteoporos Int. 1994; 4:368–81.
9. Miller PD, Siris ES, Barrett-Connor E, Faulkner KG, Wehren LE, Abbott TA, et al. Prediction of fracture risk in postmenopausal white women with peripheral bone densitometry: evidence from the National Osteoporosis Risk Assessment. J Bone Miner Res. 2002; 17:2222–30.
Article
10. Hans D, Barthe N, Boutroy S, Pothuaud L, Winzenrieth R, Krieg MA. Correlations between trabecular bone score, measured using anteroposterior dual-energy X-ray absorptiometry acquisition, and 3-dimensional parameters of bone microarchitecture: an experimental study on human cadaver vertebrae. J Clin Densitom. 2011; 14:302–12.
Article
11. Roux JP, Wegrzyn J, Boutroy S, Bouxsein ML, Hans D, Chapurlat R. The predictive value of trabecular bone score (TBS) on whole lumbar vertebrae mechanics: an ex vivo study. Osteoporos Int. 2013; 24:2455–60.
Article
12. Muschitz C, Kocijan R, Haschka J, Pahr D, Kaider A, Pietschmann P, et al. TBS reflects trabecular microarchitecture in premenopausal women and men with idiopathic osteoporosis and low-traumatic fractures. Bone. 2015; 79:259–66.
Article
13. Su Y, Leung J, Hans D, Aubry-Rozier B, Kwok T. Added clinical use of trabecular bone score to BMD for major osteoporotic fracture prediction in older Chinese people: the Mr. OS and Ms. OS cohort study in Hong Kong. Osteoporos Int. 2017; 28:151–60.
Article
14. Hans D, Goertzen AL, Krieg MA, Leslie WD. Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: the Manitoba study. J Bone Miner Res. 2011; 26:2762–9.
Article
15. McCloskey EV, Oden A, Harvey NC, Leslie WD, Hans D, Johansson H, et al. A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX. J Bone Miner Res. 2016; 31:940–8.
16. Kanis JA, Johansson H, Oden A, Johnell O, De Laet C, Eisman JA, et al. A family history of fracture and fracture risk: a meta-analysis. Bone. 2004; 35:1029–37.
Article
17. Kanis JA, Johansson H, Oden A, Johnell O, de Laet C, Melton LJ III, et al. A meta-analysis of prior corticosteroid use and fracture risk. J Bone Miner Res. 2004; 19:893–9.
Article
18. De Laet C, Kanis JA, Oden A, Johanson H, Johnell O, Delmas P, et al. Body mass index as a predictor of fracture risk: a meta-analysis. Osteoporos Int. 2005; 16:1330–8.
Article
19. Kanis JA, Johnell O, Oden A, Johansson H, De Laet C, Eisman JA, et al. Smoking and fracture risk: a meta-analysis. Osteoporos Int. 2005; 16:155–62.
Article
20. Kanis JA, Johansson H, Johnell O, Oden A, De Laet C, Eisman JA, et al. Alcohol intake as a risk factor for fracture. Osteoporos Int. 2005; 16:737–42.
Article
21. Kanis JA. World Health Organization Centre for Metabolic Bone Diseases. Assessment of osteoporosis at the primary health care level: summary report of a WHO scientific group. Geneva: World Health Organization;2008.
22. Barrett-Connor E, Siris ES, Wehren LE, Miller PD, Abbott TA, Berger ML, et al. Osteoporosis and fracture risk in women of different ethnic groups. J Bone Miner Res. 2005; 20:185–94.
Article
23. Kanis JA, Johnell O, De Laet C, Jonsson B, Oden A, Ogelsby AK. International variations in hip fracture probabilities: implications for risk assessment. J Bone Miner Res. 2002; 17:1237–44.
Article
24. Kanis JA, Burlet N, Cooper C, Delmas PD, Reginster JY, Borgstrom F, et al. European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int. 2008; 19:399–428.
Article
25. So GY, Park KH, Yoon DH, Ryu JH, Choi YS. Feasibility of FRAX for prediction of osteoporotic vertebral fractures in Korea. Asian Spine J. 2012; 6:22–8.
Article
26. Min YK, Lee DY, Park YS, Moon YW, Lim SJ, Lee YK, et al. A FRAX experience in Korea: fracture risk probabilities with a country-specific versus a surrogate model. J Bone Metab. 2015; 22:113–8.
Article
27. Hothorn T, Lausen B. On maximally selected rank statistics. R News. 2002; 2:3–5.
28. Hothorn T, Lausen B. On the exact distribution of maximally selected rank statistics. Comput Stat Data Anal. 2003; 43:121–37.
Article
29. Hillier TA, Cauley JA, Rizzo JH, Pedula KL, Ensrud KE, Bauer DC, et al. WHO absolute fracture risk models (FRAX): do clinical risk factors improve fracture prediction in older women without osteoporosis? J Bone Miner Res. 2011; 26:1774–82.
Article
30. Tamaki J, Iki M, Kadowaki E, Sato Y, Kajita E, Kagamimori S, et al. Fracture risk prediction using FRAX: a 10-year follow-up survey of the Japanese Population-Based Osteoporosis (JPOS) Cohort Study. Osteoporos Int. 2011; 22:3037–45.
Article
31. Cheung EY, Bow CH, Cheung CL, Soong C, Yeung S, Loong C, et al. Discriminative value of FRAX for fracture prediction in a cohort of Chinese postmenopausal women. Osteoporos Int. 2012; 23:871–8.
Article
32. Sandhu SK, Nguyen ND, Center JR, Pocock NA, Eisman JA, Nguyen TV. Prognosis of fracture: evaluation of predictive accuracy of the FRAX algorithm and Garvan nomogram. Osteoporos Int. 2010; 21:863–71.
Article
33. Lee DY, Lim SJ, Moon YW, Min YK, Choi D, Yoon BK, et al. Determination of an applicable FRAX model in Korean women. J Korean Med Sci. 2010; 25:1657–60.
Article
34. McCloskey EV, Oden A, Harvey NC, Leslie WD, Hans D, Johansson H, et al. Adjusting fracture probability by trabecular bone score. Calcif Tissue Int. 2015; 96:500–9.
Article
35. Schousboe JT, Vo T, Taylor BC, Cawthon PM, Schwartz AV, Bauer DC, et al. Prediction of incident major osteoporotic and hip fractures by trabecular bone score (TBS) and prevalent radiographic vertebral fracture in older men. J Bone Miner Res. 2016; 31:690–7.
Article
36. Ripamonti C, Lisi L, Buffa A, Gnudi S, Caudarella R. The trabecular bone score predicts spine fragility fractures in postmenopausal Caucasian women without osteoporosis independently of bone mineral density. Med Arch. 2018; 72:46–50.
Article
37. Mirzaei A, Jahed SA, Nojomi M, Rajaei A, Zabihiyeganeh M. A study of the value of trabecular bone score in fracture risk assessment of postmenopausal women. Taiwan J Obstet Gynecol. 2018; 57:389–93.
Article
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