Alterations of Cortical and Trabecular Architecture Are Associated With Fractures in Postmenopausal Women, Partially Independent of Decreased BMD Measured by DXA: The OFELY Study
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We assessed the role of low aBMD and impaired architecture—assessed by an HR-pQCT system—in a case-control study of postmenopausal women with fractures. Vertebral and nonvertebral fractures are associated with low volumetric BMD and architectural alterations of trabecular and cortical bone, independent of aBMD assessed by DXA. Introduction: Alterations of bone architecture and low BMD both contribute to skeletal fragility, but the contribution of cortical and trabecular architecture, independently of areal BMD (aBMD), to the risk of fracture in postmenopausal women has not been thoroughly evaluated. We assessed the role of impaired architecture and low BMD in postmenopausal women with fractures. Materials and Methods: A matched case-control study in women from the OFELY cohort was performed after 13 years of follow-up. One hundred one women (mean, 73.7 ± 8 years) who sustained a fragility fracture during the follow-up of the study were age-matched with one control who never had a fracture. Density and architecture at the distal radius and tibia were measured with high-resolution pQCT (HR-pQCT) using an XTreme CT (Scanco Medical AG, Bassersdorf, Switzerland). aBMD at the total hip and ultradistal radius was measured by DXA. Results: There were 80 peripheral fractures in 72 women, 44 vertebral fractures in 34 women, and both types of fractures in 5 women over the 14 years of follow-up. At the distal radius, women with fractures had lower volumetric total (D tot) and trabecular (D trab) BMDs, BV/TV, cortical thickness (Cort Th), trabecular number (TbN), and trabecular thickness (TbTh) and higher trabecular separation (TbSp) and distribution of trabecular separation (TbSpSd) than controls without fractures. In a logistic model, each SD decrease of volumetric total and trabecular densities was associated with a significantly increased risk of fracture at both sites (ORs ranged from 2.00 to 2.47). After adjusting for aBMD measured by DXA at the ultradistal radius, differences between cases and controls remained significant for D trab, and there was a similar trend for TbN, TbSp, and TbSpSd, with adjusted ORs ranging from 1.32 to 1.50. At the distal tibia, before and after adjusting for total hip aBMD, differences between cases and controls remained significant for D tot, D trab, Cort Th, and TbTh, with adjusted ORs ranging from 1.80 to 2.09. Conclusions: In postmenopausal women, vertebral and nonvertebral fractures are associated with low volumetric BMD and architectural alterations of trabecular and cortical bone that can be assessed noninvasively and that are partially independent of aBMD assessed by DXA.
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Loss of bone mass alone is insufficient to cause bone fractures.
“Once loss of bone mass alone is insufficient to cause bone fractures [118], it is suggested that other factors, including changes in the bone matrix proteins and their modifications, are of crucial importance to the understanding and prediction of bone fractures [119].”
From Biology of Bone Tissue: Structure, Function, and Factors That Influence Bone Cells (2015) · cites this paper as [118]
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Cites
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297 · see citing works
Marshall, D., Johnell, O., & Wedel, H. (1996) · BMJ · doi:10.1136/bmj.312.7041.1254 · Cited by 3,709 · see citing works
Vertebral fracture assessment using a semiquantitative technique
Genant, H. K., Wu, C. Y., van Kuijk, C., & Nevitt, M. C. (1993) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650080915 · Cited by 3,691 · see citing works
Consensus development conference: Diagnosis, prophylaxis, and treatment of osteoporosis
(1993) · The American Journal of Medicine · doi:10.1016/0002-9343(93)90218-e · Cited by 2,870 · see citing works
Bone Quality — The Material and Structural Basis of Bone Strength and Fragility
Seeman, E., & Delmas, P. D. (2006) · New England Journal of Medicine · doi:10.1056/nejmra053077 · Cited by 2,108 · see citing works
Self-citationSchuit, S. C. E., van der Klift, M., Weel, A. E. A. M., de Laet, C. E. D. H., Burger, H., Seeman, E., Hofman, A., Uitterlinden, A. G., van Leeuwen, J. P. T. M., & Pols, H. A. P. (2004) · Bone · doi:10.1016/j.bone.2003.10.001 · Cited by 1,651 · see citing works
PARFITT, A. M., Mathews, C. H. E., Villanueva, A. R., Kleerekoper, M., Frame, B., & Rao, D. S. (1983) · Journal of Clinical Investigation · doi:10.1172/jci111096 · Cited by 1,542 · see citing works
Boutroy, S., Bouxsein, M., Munoz, F., & Delmas, P. D. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1258 · Cited by 1,190 · see citing works
Self-citationBone Mineral Density Thresholds for Pharmacological Intervention to Prevent Fractures
Siris, E. S., Chen, Y.-T., Abbott, T. A., Barrett-Connor, E. L., Miller, P. D., Wehren, L. E., & Berger, M. L. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.10.1108 · Cited by 1,093 · see citing works
The direct examination of three-dimensional bone architecture in vitro by computed tomography
Feldkamp, L. A., Goldstein, S. A., Parfitt, M. A., Jesion, G., & Kleerekoper, M. (1989) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650040103 · Cited by 1,073 · see citing works
Increased bone turnover in late postmenopausal women is a major determinant of osteoporosis
Garnero, P., Sornay‐Rendu, E., Chapuy, M. C., & Delmas, P. D. (1996) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650110307 · Cited by 1,000 · see citing works
Self-citationConsensus development conference: prophylaxis and treatment of osteoporosis.
British Medical Journal Publishing Group (1987) · BMJ · doi:10.1136/bmj.295.6603.914 · Cited by 727 · see citing works
The ability of three-dimensional structural indices to reflect mechanical aspects of trabecular bone
Ulrich, D., van Rietbergen, B., Laib, A., & Ruegsegger, P. (1999) · Bone · doi:10.1016/s8756-3282(99)00098-8 · Cited by 718 · see citing works
Kleerekoper, M., Villanueva, A. R., Stanciu, J., Rao, D. S., & PARFITT, A. M. (1985) · Calcified Tissue International · doi:10.1007/bf02554913 · Cited by 694 · see citing works
Khosla, S., Riggs, B. L., Atkinson, E. J., Oberg, A. L., McDaniel, L. J., Holets, M. F., Peterson, J. M., & Melton, L. J. (2006) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.050916 · Cited by 583 · see citing works
Identification of Osteopenic Women at High Risk of Fracture: The OFELY Study
Sornay‐Rendu, E., Munoz, F., Garnero, P., Duboeuf, F., & Delmas, P. D. (2005) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.050609 · Cited by 392 · see citing works
Self-citationMajumdar, S., Kothari, M., Augat, P., Newitt, D. C., Link, T. M., Lin, J. C., Lang, T., Lü, Y., & Genant, H. K. (1998) · Bone · doi:10.1016/s8756-3282(98)00030-1 · Cited by 329 · see citing works
Albrand, G., Munoz, F., Sornay‐Rendu, E., Duboeuf, F., & Delmas, P. D. (2003) · Bone · doi:10.1016/s8756-3282(02)00919-5 · Cited by 326 · see citing works
Self-citationARLOT, M. E., Sornay‐Rendu, E., Garnero, P., Vey-Marty, B., & Delmas, P. D. (1997) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.1997.12.4.683 · Cited by 300 · see citing works
Self-citationLink, T. M., Majumdar, S., Augat, P., et al. (1998) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.1998.13.7.1175 · Cited by 283 · see citing works
Laib, A., & Ruegsegger, P. (1999) · Bone · doi:10.1016/s8756-3282(98)00159-8 · Cited by 245 · see citing works
Ding, M. L., & Hvid, I. (2000) · Bone · doi:10.1016/s8756-3282(99)00281-1 · Cited by 231 · see citing works
Multi-Detector Row CT Imaging of Vertebral Microstructure for Evaluation of Fracture Risk
Ito, M., Ikeda, K., Nishiguchi, M., et al. (2005) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.050610 · Cited by 231 · see citing works
Ritzel, H., Amling, M., Pösl, M., et al. (1997) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.1997.12.1.89 · Cited by 222 · see citing works
Müller, R., Hahn, M. P., Vogel, M., et al. (1996) · Bone · doi:10.1016/8756-3282(95)00489-0 · Cited by 211 · see citing works
Role of Magnetic Resonance for Assessing Structure and Function of Trabecular Bone
Wehrli, F. W., Saha, P. K., Gomberg, B. R., Song, H. K., Snyder, P. J., Benito, M., Wright, A. C., & Weening, R. (2002) · Topics in Magnetic Resonance Imaging · doi:10.1097/00002142-200210000-00005 · Cited by 199 · see citing works
Kimmel, D. B., Recker, R. R., Gallagher, J. C., Vaswani, A. N., & Aloia, J. F. (1990) · Bone and Mineral · doi:10.1016/0169-6009(90)90061-j · Cited by 194 · see citing works
Majumdar, S., Link, T. M., Augat, P., Lin, J. C., Newitt, D. C., Lane, N. E., & Genant, H. K. (1999) · Osteoporosis International · doi:10.1007/s001980050221 · Cited by 188 · see citing works
Thomsen, J. S., Laib, A., Koller, B. J., Prohaska, S., Mosekilde, L., & Gowin, W. (2005) · Journal of Microscopy · doi:10.1111/j.1365-2818.2005.01469.x · Cited by 188 · see citing works
Wehrli, F. W., Hwang, S. N., Ma, J., Song, H. K., Ford, J. C., & Haddad, J. G. (1998) · Radiology · doi:10.1148/radiology.206.2.9457185 · Cited by 186 · see citing works
Architecture and vertebral fracture
Recker, R. R. (1993) · Calcified Tissue International · doi:10.1007/bf01673423 · Cited by 144 · see citing works
Predicting the failure load of the distal radius
Bouxsein, M., Muller, M. E., & Webber, C. E. (2003) · Osteoporosis International · doi:10.1007/s00198-003-1380-9 · Cited by 142 · see citing works
Laib, A., Newitt, D. C., Lü, Y., et al. (2002) · Osteoporosis International · doi:10.1007/s001980200004 · Cited by 122 · see citing works
Structural and geometric changes in iliac bone: Relationship to normal aging and osteoporosis
Földes, J., PARFITT, A. M., Shih, M. S., et al. (1991) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650060714 · Cited by 110 · see citing works
Bone Structure in Patients with Low Bone Mineral Density With or Without Vertebral Fractures
Oleksik, A., Ott, S. M., Vedi, S., et al. (2000) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.2000.15.7.1368 · Cited by 101 · see citing works
Mullender, M. G., Tan, S., Vico, L., Alexandre, C., & Klein‐Nulend, J. (2005) · Calcified Tissue International · doi:10.1007/s00223-005-0043-6 · Cited by 101 · see citing works
Image-Based Assessment of Spinal Trabecular Bone Structure from High-Resolution CT Images
Gordon, C. L., Lang, T., Augat, P., et al. (1998) · Osteoporosis International · doi:10.1007/s001980050070 · Cited by 89 · see citing works
Ouyang, X., Selby, K., Lang, P. K., et al. (1997) · Calcified Tissue International · doi:10.1007/s002239900204 · Cited by 80 · see citing works
Advanced imaging of bone macro and micro structure
Genant, H. K., Gordon, C. L., Jiang, Y., et al. (1999) · Bone · doi:10.1016/s8756-3282(99)00109-x · Cited by 68 · see citing works
Bone Quality Parameters of the Distal Radius as Assessed by pQCT in Normal and Fractured Women
Schneider, P. F., Reiners, C., Cointry, G. R., et al. (2001) · Osteoporosis International · doi:10.1007/s001980170063 · Cited by 61 · see citing works
Method for Cortical Bone Structural Analysis From Magnetic Resonance Images1
Gomberg, B. R., Saha, P. K., & Wehrli, F. W. (2005) · Academic Radiology · doi:10.1016/j.acra.2005.06.012 · Cited by 55 · see citing works
Alternative approach to assessment of bone quality using micro-computed tomography
Hanson, N., & Bagi, C. M. (2004) · Bone · doi:10.1016/j.bone.2004.02.019 · Cited by 47 · see citing works
Croucher, P. I., Garrahan, N. J., & Compston, J. E. (1994) · Bone and Mineral · doi:10.1016/s0169-6009(08)80253-x · Cited by 29 · see citing works
MacIntyre, N. J., Adachi, J. D., & Webber, C. E. (2003) · Journal of Clinical Densitometry · doi:10.1385/jcd:6:1:35 · Cited by 21 · see citing works
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Research works printed but not linked: 1
- Belsley DA, Kuh E, Welsch RE 1980 Regression Diagnostics: Identifying Influencial Data and Sources of Colinearity. John Wiley and Sons, New York, NY, USA.
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Sorted by citations
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Florencio-Silva, R., Sasso, G. R. D. S., Sasso-Cerri, E., Simões, M. J., & Cerri, P. S. (2015) · BioMed Research International · doi:10.1155/2015/421746 · Cited by 2,044 · see citing works
Dole, N. S., Mazur, C. M., Acevedo, C., Lopez, J. P., Monteiro, D. A., Fowler, T. W., Gludovatz, B., Walsh, F., Regan, J. N., Messina, S., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.10.115 · Cited by 173 · see citing works
Th17 cell frequency is associated with low bone mass in primary sclerosing cholangitis
Schmidt, T., Schwinge, D., Rolvien, T., Jeschke, A., Schmidt, C., Neven, M., Butscheidt, S., Kriz, M., Kunzmann, L., Mussawy, H., et al. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2018.12.035 · Cited by 42 · see citing works
Bone microarchitecture and bone turnover in hepatic cirrhosis
Wakolbinger, R., Muschitz, C., Scheriau, G., Bodlaj, G., Kocijan, R., Feichtinger, X., Schanda, J. E., Haschka, J., Resch, H., & Pietschmann, P. (2019) · Osteoporosis International · doi:10.1007/s00198-019-04870-6 · Cited by 39 · see citing works
Ng, C.-A., Gandham, A., Mesinovic, J., Owen, P. J., Ebeling, P. R., & Scott, D. (2023) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4899 · Cited by 36 · see citing works
- Authors
- Sornay-Rendu, E., Boutroy, S., Munoz, F., & Delmas, P. D.
- Affiliations
- INSERM Research Unit 403 and Université Claude Bernard Lyon 1, Lyon, France
- Lyon 1 Université (FR)
- ORCID
- Boutroy, Stéphanie
- Venue
- Journal of Bone and Mineral Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-03-01
- Volume
- 22
- Issue
- 3
- Pages
- 425-433
- ISSN
- 0884-0431 (ISSN-L)
- 1523-4681
- OpenAlex
- W2069370255
- Cited by
- 454
- References
- 44
- Citations by year
- 2026: 12 · 2025: 8 · 2024: 6 · 2023: 14 · 2022: 10 · 2021: 7 · 2020: 21 · 2019: 21 · 2018: 26 · 2017: 25 · 2016: 25 · 2015: 31 · 2014: 30 · 2013: 46 · 2012: 41
- FWCI
- 18.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of Bone and Mineral Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eli Lilly and Company
- Institut National de la Santé et de la Recherche Médicale
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Health Sciences › Medicine › Epidemiology › Bone fractures and treatments
- Health Sciences › Medicine › Emergency Medicine › HIV-related health complications and treatments
- Keywords
- postmenopausal women, fragility fractures, bone structure, trabecular bone, cortical bone, volumetric bone mineral density, trabecular separation, trabecular number, trabecular thickness, cortical thickness, vertebral fractures, non-vertebral fractures, distal radius, tibia, dual-energy X-ray absorptiometry, fracture risk factors, bone fragility
- MeSH terms
- Adult, Aged, Aged, 80 and over, Female, Follow-Up Studies, Humans, Middle Aged, Retrospective Studies, Bone Density, Postmenopause, Fractures, Bone
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