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A new corrective model to evaluate TBS in obese post-menopausal women: a cross-sectional study

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Abstract

Introduction

The relationship between post-menopausal osteoporosis and obesity has been mainly investigated using bone mineral density (BMD) as marker of bone health. Since BMD does not reflect bone microarchitecture, another analytical tool, the Trabecular Bone Score (TBS), has been recently developed for this purpose. In this study, we intended to investigate the validity of TBS as marker of bone quality in obese post-menopausal women.

Methods and materials

Three hundred fifty-two post-menopausal women were consecutively enrolled in the study and underwent anthropometric and dual-energy X-ray absorptiometry (DXA) examination. DXA-based BMD was used to classify subjects into osteoporotic (9%), osteopenic (58%), and controls (33%) categories. As TBS is sometimes sensitive to the effects of increased image noise with higher BMI, a corrected version of the TBS (TBS*) was also used to assess bone microarchitecture quality in this cohort.

Results

As expected, BMI was positively and negatively related to total BMD (r = 0.22, p < 0.0001) and TBS (r = − 0.12, p < 0.05), respectively. TBS* was found positively and significantly correlated with femoral neck BMD (r = 0.40, p < 0.001), total hip (r = 0.33, p < 0.001) and lumbar spine BMD (r = 0.50, p < 0.001).

Conclusion

TBS, once removed the effect of BMI, can serve as a good surrogate maker of bone microarchitecture in obese post-menopausal women in addition to BMD.

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References

  1. Burge R, Dawson-Hughes B, Solomon DH et al (2007) Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res 22:465–475

    Article  Google Scholar 

  2. Becker DJ, Kilgore ML, Morrisey MA (2010) The societal burden of osteoporosis. Curr Rheumatol Rep 12:186–191

    Article  Google Scholar 

  3. Cram P, Rosenthal GE, Ohsfeldt R et al (2005) Failure to recognize and act on abnormal test results: the case of screening bone densitometry. Jt Comm J Qual Patient Saf 31:90–97

    PubMed  Google Scholar 

  4. McClung MR (2005) The relationship between bone mineral density and fracture risk. Curr Osteoporos Rep 3:57–63

    Article  Google Scholar 

  5. Bonaccorsi G, Fila E, Cervellati C et al (2015) Assessment of fracture risk in a population of postmenopausal italian women: a comparison of two different tools. Calcif Tissue Int 97:50–57. https://doi.org/10.1007/s00223-015-0009-2

    Article  CAS  PubMed  Google Scholar 

  6. Kanis JA, Cooper C, Rizzoli R et al (2019) European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int 30:3–44

    Article  CAS  Google Scholar 

  7. Harvey NC, Glüer CC, Binkley N et al (2015) Trabecular bone score (TBS) as a new complementary approach for osteoporosis evaluation in clinical practice. Bone 78:216–224

    Article  CAS  Google Scholar 

  8. McCloskey EV, Odén A, Harvey NC et al (2016) A meta-analysis of trabecular bone score in fracture risk prediction and its relationship to FRAX. J Bone Miner Res 31:940–948

    Article  Google Scholar 

  9. Martineau P, Leslie WD (2018) The utility and limitations of using trabecular bone score with FRAX. Curr Opin Rheumatol 30:412–419

    Article  Google Scholar 

  10. Messina C, Poloni A, Chianca V et al (2018) Increasing soft tissue thickness does not affect trabecular bone score reproducibility: a phantom study. Endocrine 61:336–342. https://doi.org/10.1007/s12020-018-1647-8

    Article  CAS  PubMed  Google Scholar 

  11. Messina C, Usuelli FG, Maccario C et al (2019) Precision of bone mineral density measurements around total ankle replacement using dual energy X-ray absorptiometry. J Clin Densitom S1094–6950:30250–30256. https://doi.org/10.1016/j.jocd.2019.01.006

    Article  Google Scholar 

  12. Cervellati C, Pansini FS, Bonaccorsi G et al (2009) Body mass index is a major determinant of abdominal fat accumulation in pre-, peri- and post-menopausal women. Gynecol Endocrinol 25:413–417

    Article  Google Scholar 

  13. Cervellati C, Bonaccorsi G, Bergamini CM et al (2016) Association between circulatory levels of adipokines and bone mineral density in postmenopausal women. Menopause 23:984–992

    Article  Google Scholar 

  14. Dufour R, Winzenrieth R, Heraud A et al (2013) Generation and validation of a normative, age-specific reference curve for lumbar spine trabecular bone score (TBS) in French women. Osteoporos Int 24:2837–2846

    Article  CAS  Google Scholar 

  15. Kanis JA, Cooper C, Rizzoli R et al (2019) Scientific Advisory Board of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO) and the Committees of Scientific Advisors and National Societies of the International Osteoporosis Foundation (IOF). Executive summary of European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Aging Clin Exp Res 31:15–17. https://doi.org/10.1007/s40520-018-1109-4

    Article  CAS  PubMed  Google Scholar 

  16. Lee JE, Kim KM, Kim LK et al (2017) Comparisons of TBS and lumbar spine BMD in the associations with vertebral fractures according to the T-scores: a cross-sectional observation. Bone 105:269–275

    Article  Google Scholar 

  17. Silva BC, Leslie WD, Resch H et al (2014) Trabecular bone score: a noninvasive analytical method based upon the DXA image. J Bone Miner Res 29:518–530

    Article  Google Scholar 

  18. Bazzocchi A, Ponti F, Diano D et al (2015) Trabecular bone score in healthy ageing. Br J Radiol 88:20140865

    Article  CAS  Google Scholar 

  19. Hans D, Barthe N, Boutroy S et al (2011) 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 14:302–312

    Article  Google Scholar 

  20. Leslie WD, Caetano PA, MacWilliam LR et al (2005) Construction and validation of a population-based bone densitometry database. J Clin Densitom. 8:25–30

    Article  Google Scholar 

  21. Leslie WD, Anderson WA, Metge CJ et al (2007) Clinical risk factors for fracture in postmenopausal Canadian women: a population-based prevalence study. Bone 40:991–996

    Article  Google Scholar 

  22. Boutroy S, Hans D, Sornay-Rendu E et al (2013) Trabecular bone score improves fracture risk prediction in non-osteoporotic women: the OFELY study. Osteoporos Int 24:77–85

    Article  CAS  Google Scholar 

  23. Shin YH, Gong HS, Lee KJ et al (2017) Older age and higher body mass index are associated with a more degraded trabecular bone score compared to bone mineral density. J Clin Densitom 22:266–271. https://doi.org/10.1016/j.jocd.2017.06.006

    Article  PubMed  Google Scholar 

  24. Zhang Y, Guo J, Duanmu Y et al (2018) Quantitative analysis of modified functional muscle-bone unit and back muscle density in patients with lumbar vertebral fracture in Chinese elderly men: a case-control study. Aging Clin Exp Res. https://doi.org/10.1007/s40520-018-1024-8

    Article  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. Department of Morphology, Surgery and Experimental Medicine, Menopause and Osteoporosis Centre, University of Ferrara, Via Boschetto 29, 44124, Ferrara, Italy

    Gloria Bonaccorsi & Pantaleo Greco

  2. Department of Clinical and Experimental Medicine, Foggia University School of Medicine, Via L. Pinto, 1, Foggia, Italy

    Francesco Pio Cafarelli & Giuseppe Guglielmi

  3. Department of Biomedical and Specialist Surgical Sciences, Section of Medical Biochemistry, Molecular Biology and Genetics, University of Ferrara, Via Luigi Borsari 46, 44121, Ferrara, Italy

    Carlo Cervellati

  4. Medimaps, Canéjan, France

    François De Guio

  5. Department of Morphology, Surgery and Experimental Medicine, Section of Radiology, University of Ferrara, Via Ludovico Ariosto 35, 44121, Ferrara, Italy

    Melchiore Giganti

  6. Department of Radiology, University of Foggia, Viale Luigi Pinto 1, 71100, Foggia, Italy

    Giuseppe Guglielmi

Authors
  1. Gloria Bonaccorsi
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  2. Francesco Pio Cafarelli
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  3. Carlo Cervellati
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  4. François De Guio
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  5. Pantaleo Greco
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  6. Melchiore Giganti
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  7. Giuseppe Guglielmi
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Corresponding author

Correspondence to Giuseppe Guglielmi.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Bonaccorsi, G., Cafarelli, F.P., Cervellati, C. et al. A new corrective model to evaluate TBS in obese post-menopausal women: a cross-sectional study. Aging Clin Exp Res 32, 1303–1308 (2020). https://doi.org/10.1007/s40520-019-01317-0

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  • DOI: https://doi.org/10.1007/s40520-019-01317-0

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