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Usefulness of Fracture Risk Assessment Tool Using Lumbar Bone Mineral Density in Prediction of Osteoporotic Vertebral Fracture

  • Lee, Heui Seung (Department of Neurosurgery, Seoul National University Hospital) ;
  • Lee, Sang Hyung (Department of Neurosurgery, Seoul National University Boramae Medical Center) ;
  • Chung, Young Seob (Department of Neurosurgery, Seoul National University Boramae Medical Center) ;
  • Yang, Hee-Jin (Department of Neurosurgery, Seoul National University Boramae Medical Center) ;
  • Son, Young-Je (Department of Neurosurgery, Seoul National University Boramae Medical Center) ;
  • Park, Sung Bae (Department of Neurosurgery, Seoul National University Boramae Medical Center)
  • 투고 : 2015.07.02
  • 심사 : 2015.10.09
  • 발행 : 2015.10.28

초록

Objective : To investigate the value of lumbar bone mineral density (BMD) in fracture risk assessment (FRAX) tool. Methods : One hundred and ten patients aged over 60 years were enrolled and divided into 2 groups as non-osteoporotic vertebral fracture (OVF) and OVF groups. The 10-year-risk of major osteoporotic vertebral fracture of each group was calculated by FRAX tool with femoral and lumbar spine BMDs to compare the usefulness of lumbar spine BMD in prediction of OVF. The blood level of osteocalcin and C-terminal telopeptide (CTX) as markers of activities of osteoblast and osteoclast, respectively were analyzed using the institutional database. Results : In the OVF group, the ratio of patients with previous fracture history or use of glucocorticoid was higher than those in non-OVF group (p=0.000 and 0.030, respectively). The levels of T-score of femur neck and lumbar spine in OVF group were significantly lower than those in non-OVF group (p=0.001 and 0.000, respectively). The risk of OVF in FRAX using femur BMD in non-OVF and OVF groups was $6.7{\pm}6.13$ and $11.4{\pm}10.06$, respectively (p=0.007). The risk of using lumbar BMD in the 2 groups was $6.9{\pm}8.91$ and $15.1{\pm}15.08$, respectively (p=0.002). The areas under the receiver operator characteristic curve in the FRAX risk with lumbar and femur neck BMD were 0.726 and 0.684, respectively. The comparison of osteocalcin and CTX was not significant (p=0.162 and 0.369, respectively). Conclusion : In our study, the 10-year risk of major osteoporotic fracture in the OVF group of our study was lower than the recommended threshold of intervention for osteoporosis. Hence, a lower threshold for the treatment of osteoporosis may be set for the Korean population to prevent OVF. In the prediction of symptomatic OVF, FRAX tool using lumbar spine BMD may be more useful than that using femur neck BMD.

키워드

참고문헌

  1. Chin DK, Park JY, Yoon YS, Kuh SU, Jin BH, Kim KS, et al. : Prevalence of osteoporosis in patients requiring spine surgery : incidence and significance of osteoporosis in spine disease. Osteoporos Int 18 : 1219-1224, 2007 https://doi.org/10.1007/s00198-007-0370-8
  2. Dontas IA, Yiannakopoulos CK : Risk factors and prevention of osteoporosis-related fractures. J Musculoskelet Neuronal Interact 7 : 268-272, 2007
  3. El Maghraoui A, Roux C : DXA scanning in clinical practice. QJM 101 : 605-617, 2008 https://doi.org/10.1093/qjmed/hcn022
  4. El Maghraoui A, Sadni S, Jbili N, Rezqi A, Mounach A, Ghozlani I : The discriminative ability of FRAX, the WHO algorithm, to identify women with prevalent asymptomatic vertebral fractures : a cross-sectional study. BMC Musculoskelet Disord 15 : 365, 2014 https://doi.org/10.1186/1471-2474-15-365
  5. Fink HA, Milavetz DL, Palermo L, Nevitt MC, Cauley JA, Genant HK, et al. : What proportion of incident radiographic vertebral deformities is clinically diagnosed and vice versa? J Bone Miner Res 20 : 1216-1222, 2005 https://doi.org/10.1359/JBMR.050314
  6. Fujiwara S, Kasagi F, Masunari N, Naito K, Suzuki G, Fukunaga M : Fracture prediction from bone mineral density in Japanese men and women. J Bone Miner Res 18 : 1547-1553, 2003 https://doi.org/10.1359/jbmr.2003.18.8.1547
  7. Fujiwara S, Nakamura T, Orimo H, Hosoi T, Gorai I, Oden A, et al. : Development and application of a Japanese model of the WHO fracture risk assessment tool (FRAX). Osteoporos Int 19 : 429-435, 2008 https://doi.org/10.1007/s00198-007-0544-4
  8. Johnell O, Kanis J : Epidemiology of osteoporotic fractures. Osteoporos Int 16 Suppl 2 : S3-S7, 2005 https://doi.org/10.1007/s00198-004-1702-6
  9. Kanis JA : Diagnosis of osteoporosis and assessment of fracture risk. Lancet 359 : 1929-1936, 2002 https://doi.org/10.1016/S0140-6736(02)08761-5
  10. Kanis JA, Borgstrom F, De Laet C, Johansson H, Johnell O, Jonsson B, et al. : Assessment of fracture risk. Osteoporos Int 16 : 581-589, 2005 https://doi.org/10.1007/s00198-004-1780-5
  11. Kanis JA, Johnell O, Oden A, Johansson H, McCloskey E : FRAX and the assessment of fracture probability in men and women from the UK. Osteoporos Int 19 : 385-397, 2008 https://doi.org/10.1007/s00198-007-0543-5
  12. Kanis JA, on behalf of the World Health Organization Scientific Group : Assessment of osteoporosis at the primary health-care level. Technical report University of Sheffield, UK : WHO Collaborating Centre, 2008
  13. Lewiecki EM : Bone densitometry and vertebral fracture assessment. Curr Osteoporos Rep 8 : 123-130, 2010 https://doi.org/10.1007/s11914-010-0018-z
  14. Lippuner K, Johansson H, Kanis JA, Rizzoli R : FRAX assessment of osteoporotic fracture probability in Switzerland. Osteoporos Int 21 : 381-389, 2010 https://doi.org/10.1007/s00198-009-0975-1
  15. McCloskey E, Kanis JA : FRAX updates 2012. Curr Opin Rheumatol 24 : 554-560, 2012 https://doi.org/10.1097/BOR.0b013e328356d2f5
  16. Navarro MC, Sosa M, Saavedra P, Lainez P, Marrero M, Torres M, et al. : Poverty is a risk factor for osteoporotic fractures. Osteoporos Int 20 : 393-398, 2009 https://doi.org/10.1007/s00198-008-0697-9
  17. Siris ES, Baim S, Nattiv A : Primary care use of FRAX : absolute fracture risk assessment in postmenopausal women and older men. Postgrad Med 122 : 82-90, 2010 https://doi.org/10.3810/pgm.2010.01.2102
  18. Siris ES, Brenneman SK, Barrett-Connor E, Miller PD, Sajjan S, Berger ML, et al. : The effect of age and bone mineral density on the absolute, excess, and relative risk of fracture in postmenopausal women aged 50-99 : results from the National Osteoporosis Risk Assessment (NORA). Osteoporos Int 17 : 565-574, 2006 https://doi.org/10.1007/s00198-005-0027-4
  19. So GY, Park KH, Yoon DH, Ryu JH, Choi YS : Feasibility of FRAX for prediction of osteoporotic vertebral fractures in Korea. Asian Spine J 6 : 22-28, 2012 https://doi.org/10.4184/asj.2012.6.1.22
  20. Tosteson AN, Melton LJ 3rd, Dawson-Hughes B, Baim S, Favus MJ, Khosla S, et al. : Cost-effective osteoporosis treatment thresholds : the United States perspective. Osteoporos Int 19 : 437-447, 2008 https://doi.org/10.1007/s00198-007-0550-6

피인용 문헌

  1. Correlations of Serum Hormones and Bone Mineral Density with Fracture and Balance Ability of Postmenopausal Patients and Effects of Calcitriol vol.24, pp.None, 2015, https://doi.org/10.12659/msm.910792