Trabecular bone score (TBS) predicts vertebral fractures in Japanese women over 10 years independently of bone density and prevalent vertebral deformity: The japanese population-based osteoporosis (JPOS) Cohort study

Journal of Bone and Mineral Research

Volumn 29, Issue 2, 2014, Pages 399-407

  Iki, Masayuki ^a   Tamaki, Junko ^a   Kadowaki, Eiko ^a   Sato, Yuho ^b   Dongmei, Namiraa ^a   Winzenrieth, Renaud ^c   Kagamimori, Sadanobu ^d   Kagawa, Yoshiko ^e   Yoneshima, Hideo ^f  

^a KINKI UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^b JIN AI UNIVERSITY   (Japan)

^c Ctr Geriatrie Ctr Hosp Univ B   (France)

^d UNIVERSITY OF TOYAMA   (Japan)

^e KAGAWA NUTRITION UNIVERSITY   (Japan)

^f Shuwa General Hospital   (Japan)

Author keywords

DXA; FRACTURE RISK ASSESSMENT; GENERAL POPULATION STUDIES; OSTEOPOROSIS

Indexed keywords

BISPHOSPHONIC ACID DERIVATIVE;

ADOLESCENT; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; BONE DENSITY; BONE METABOLISM; COHORT ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DUAL ENERGY X RAY ABSORPTIOMETRY; FEMALE; FOLLOW UP; HEALTH SURVEY; HUMAN; JAPANESE; MAJOR CLINICAL STUDY; MIDDLE AGED; MORPHOMETRICS; OSTEOPOROSIS; POPULATION BASED CASE CONTROL STUDY; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; SCORING SYSTEM; SPINE FRACTURE; TRABECULAR BONE SCORE; VERTEBRA MALFORMATION; X RAY BONE DENSITOMETER; YOUNG ADULT;

DXA; FRACTURE RISK ASSESSMENT; GENERAL POPULATION STUDIES; OSTEOPOROSIS;

ABSORPTIOMETRY, PHOTON; ADOLESCENT; ADULT; AGED; ASIAN CONTINENTAL ANCESTRY GROUP; FEMALE; FOLLOW-UP STUDIES; HUMANS; JAPAN; MIDDLE AGED; MODELS, BIOLOGICAL; OSTEOPOROSIS; PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES; SPINAL FRACTURES; SPINE;

EID: 84892718484     PISSN: 08840431     EISSN: 15234681     Source Type: Journal    
DOI: 10.1002/jbmr.2048     Document Type: Article

References (52)

1. Consensus development conference: diagnosis, prophylaxis and treatment of osteoporosis. Am J Med. 1993; 94 (6): 646-50.
2. Ammann P, Rizzoli R,. Bone strength and its determinants. Osteoporos Int. 2003; 14 (Suppl 3): S13-8.
3. Johnell O, Kanis JA, Oden E, et al. Predictive value of aBMD for hip and other fractures. J Bone Miner Res. 2005; 20 (7): 1185-94.
4. Link TM,. Osteoporosis imaging: state of the art and advanced imaging. Radiology. 2012; 263 (1): 3-17.
5. Bouxsein ML,. Technology insight: noninvasive assessment of bone strength in osteoporosis. Nat Clin Pract Rheumatol. 2008; 4 (6): 310-8.
6. Griffith JF, Engelke K, Genant HK,. Looking beyond bone mineral density: imaging assessment of bone quality. Ann NY Acad Sci. 2010; 1192: 45-56.
7. Winzenrieth R, Michelet F, Hans D,. Three-dimensional (3D) microarchitecture correlations with 2D projection image gray-level variations assessed by trabecular bone score using high-resolution computed tomographic acquisitions: effects of resolution and noise. J Clin Densitomet. 2013; 16 (3): 287-96.
8. 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 (3): 302-12.
9. 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 Mar 7. [Epub ahead of print].
10. Pothuaud L, Barthe N, Krieg MA, Mehsen N, Carceller P, Hans D,. Evaluation of the potential use of trabecular bone score to complement bone mineral density in the diagnosis of osteoporosis: a preliminary spine BMD-matched case-control study. J Clin Densitom. 2009; 12 (2): 170-6.
11. Winzenrieth R, Dufour R, Pothuaud L, Hans D,. A retrospective case-control study assessing the role of trabecular bone score in postmenopausal Caucasian women with osteopenia: analyzing the odds of vertebral fracture. Calcif Tissue Int. 2010; 86 (2): 104-9.
12. Rabier B, Heraud A, Grand-Lenoir C, Winzenrieth R, Hans D,. A multicentre, retrospective case-control study assessing the role of trabecular bone score (TBS) in menopausal Caucasian women with low areal bone mineral density (BMDa): analysing the odds of vertebral fracture. Bone. 2010; 46 (1): 176-81.
13. Silva BC, Boutroy S, Zhang C, et al. Trabecular bone score (TBS)-a novel method to evaluate bone microarchitectural texture in patients with primary hyperparathyroidism. J Clin Endocrinol Metab. 2013; 98 (5): 1963-70.
14. Romagnoli E, Cipriani C, Nofroni I, et al. " Trabecular bone score" (TBS): an indirect measure of bone micro-architecture in postmenopausal patients with primary hyperparathyroidism. Bone. 2013; 53 (1): 154-9.
15. Breban S, Briot K, Kolta S, Paternotte S, Ghazi M, Fechtenbaum J, Roux C,. Identification of rheumatoid arthritis patients with vertebral fractures using bone mineral density and trabecular bone score. J Clin Densitom. 2012; 15 (3): 260-6.
16. 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 (11): 2762-9.
17. Boutroy S, Hans D, Sornay-Rendu E, Vilayphiou N, Winzenrieth R, Chapurlat R,. Trabecular bone score improves fracture risk prediction in non-osteoporotic women: the OFELY study. Osteoporos Int. 2013; 24 (1): 77-85.
18. Leslie WD, Krieg MA, Hans D,. Manitoba Bone Density Program. Clinical factors associated with trabecular bone score. J Clin Densitom. 2013 Feb 26. [Epub ahead of print].
19. Ross PD,. Clinical consequences of vertebral fractures. Am J Med. 1997; 103(2A):30S-42S; discussion 42S-43S.
20. Sambrook P, Cooper C,. Osteoporosis. Lancet. 2006; 367 (9527): 2010-28.
21. Ross PD, Fujiwara S, Huang C, et al. Vertebral fracture prevalence in women in Hiroshima compared to Caucasians or Japanese in the US. Int J Epidemiol. 1995; 24 (6): 1171-7.
22. Iki M, Kagamimori S, Kagawa Y, Matsuzaki T, Yoneshima H, Marumo F,. Bone mineral density of the spine, hip and distal forearm in representative samples of the Japanese female population: Japanese Population-Based Osteoporosis (JPOS) Study. Osteoporos Int. 2001; 12 (7): 529-37.
23. Sato Y, Tamaki J, Kitayama F, et al. Development of a food-frequency questionnaire to measure the dietary calcium intake of adult Japanese women. Tohoku J Exp Med. 2005; 207 (3): 217-22.
24. Lewiecki EM, Gordon CM, Baim S, et al. International Society for Clinical Densitometry 2007 Adult and Pediatric Official Positions. Bone. 2008; 43 (6): 1115-21.
25. McCloskey EV, Spector TD, Eyres KS, et al. The assessment of vertebral deformity: a method for use in population studies and clinical trials. Osteoporos Int. 1993; 3 (3): 138-47.
26. Genant HK, Wu CY, van Kuijk C, Nevitt MC,. Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res. 1993; 8 (9): 1137-48.
27. Kadowaki E, Tamaki J, Iki M, Sato Y, Chiba Y, Kajita E, Kagamimori S, Kagawa Y, Yoneshima H,. Prevalent vertebral deformity independently increases incident vertebral fracture risk in middle-aged and elderly Japanese women: the Japanese Population-based Osteoporosis (JPOS) Cohort Study. Osteoporos Int. 2010; 21 (9): 1513-22.
28. Ross PD, Davis JW, Epstein RS, Wasnich RD,. Pre-existing fractures and bone mass predict vertebral fracture incidence in women. Ann Intern Med. 1991; 114 (11): 919-23.
29. Fukunaga M, Nakamura T, Shiraki M, et al. Absolute height reduction and percent height ratio of the vertebral body in incident fracture in Japanese women. J Bone Miner Metab. 2004; 22 (2): 104-10.
30. 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. 2003; 18 (8): 1547-53.
31. Cauley JA, Hochberg MC, Lui LY, et al. Long-term risk of incident vertebral fractures. JAMA. 2007; 298 (23): 2761-7.
32. Lunt M, O'Neill TW, Felsenberg D, et al. Characteristics of a prevalent vertebral deformity predict subsequent vertebral fracture: results from the European Prospective Osteoporosis Study (EPOS). Bone. 2003; 33 (4): 505-13.
33. Akaike H,. Information: theory and an extension of the maximum likelihood principle. In:, Petrov BN, Csaki F, editors. Proceedings of the Second International Symposium on Information Theory. Budapest: Akademiai Kiado; p. 267-81. 1973.
34. DeLong ER, DeLong DM, Clarke-Pearson DL,. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; 44 (3): 837-45.
35. Sakamoto Y, Ishiguro M, Kitagawa G,. Akaike information criterion statistics. Dordrecht, the Netherlands: D. Reidel; 1986; p. 56-85. 1986.
36. Pencina MJ, D'Agostino RBSrD'Ago stinoRBJrVasanRS., Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008; 27 (2): 157-72 discussion 207-12.
37. Kennedy KF, Pencina MJ,. A SAS® macro to compute added predictive ability of new markers predicting a dichotomous outcome. In: SouthEeast SAS Users Group Annual Meeting Proceedings 2010;http://analytics.ncsu.edu/sesug/ 2010/SDA07.Kennedy.pdf.
38. Kanis JA, Melton LJ 3rd., Christiansen C, Johnston CC, Khaltaev N. The diagnosis of osteoporosis. J Bone Miner Res. 1994; 9 (8): 1137-41.
39. Perkins NJ, Schisterman EF,. The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol. 2006; 163 (7): 670-5.
40. Cummings SR, Melton LJ,. Epidemiology and outcomes of osteoporotic fractures. Lancet. 2002; 359 (9319): 1761-7.
41. Hasserius R, Karlsson MK, Nilsson BE, Redlund-Johnell I, Johnell O,. European Vertebral Osteoporosis Study. Prevalent vertebral deformities predict increased mortality and increased fracture rate in both men and women: a 10-year population-based study of 598 individuals from the Swedish cohort in the European Vertebral Osteoporosis Study. Osteoporos Int. 2003; 14 (1): 61-8.
42. Cauley JA, Thompson DE, Ensrud KC, Scott JC, Black D,. Risk of mortality following clinical fractures. Osteoporos Int. 2000; 11 (7): 556-61.
43. Pongchaiyakul C, Nguyen ND, Jones G, Center JR, Eisman JA, Nguyen TV,. Asymptomatic vertebral deformity as a major risk factor for subsequent fractures and mortality: a long-term prospective study. J Bone Miner Res. 2005; 20 (8): 1349-55.
44. Kado DM, Browner WS, Palermo L, Nevitt MC, Genant HK, Cummings SR,. Vertebral fractures and mortality in older women: a prospective study. Study of Osteoporotic Fractures Research Group. Arch Intern Med. 1999; 159 (11): 1215-20.
45. Cook NR, Ridker PM,. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures. Ann Intern Med. 2009; 150 (11): 795-802.
46. Pencina MJ, D'Agostino RB, Pencina KM, Janssens AC, Greenland P,. Interpreting incremental value of markers added to risk prediction models. Am J Epidemiol. 2012; 176 (6): 473-81.
47. Vasikaran S, Eastell R, Bruyère O, et al. Markers of bone turnover for the prediction of fracture risk and monitoring of osteoporosis treatment: a need for international reference standards. Osteoporos Int. 2011; 22 (2): 391-420.
48. Tanaka S, Kuroda T, Saito M, Shiraki M,. Urinary pentosidine improves risk classification using fracture risk assessment tools for postmenopausal women. J Bone Miner Res. 2011; 26 (11): 2778-84.
49. De Laet C, Odén A, Johansson H, Johnell O, Jönsson B, Kanis JA,. The impact of the use of multiple risk indicators for fracture on case-finding strategies: a mathematical approach. Osteoporos Int. 2005; 16 (3): 313-8.
50. Tamaki J, Iki M, Kadowaki E, et al. Fracture risk prediction using FRAX: a 10-year follow-up survey of the Japanese Population-Based Osteoporosis (JPOS) Cohort Study. Osteoporos Int. 2012; 22: 3037-45.
51. Ferrar L, Jiang G, Clowes JA, Peel NF, Eastell R,. Comparison of densitometric and radiographic vertebral fracture assessment using the algorithm-based qualitative (ABQ) method in postmenopausal women at low and high risk of fracture. J Bone Miner Res. 2008; 23 (1): 103-11.
52. Rea JA, Chen MB, Li J, et al. Morphometric X-ray absorptiometry and morphometric radiography of the spine: a comparison of prevalent vertebral deformity identification. J Bone Miner Res. 2000; 15 (3): 564-74.