Literature DB >> 31471889

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

Gloria Bonaccorsi1, Francesco Pio Cafarelli2, Carlo Cervellati3, François De Guio4, Pantaleo Greco1, Melchiore Giganti5, Giuseppe Guglielmi6,7.   

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.

Entities:  

Keywords:  Body mass index; Obesity; Osteoporosis; Post-menopausal age; Trabecular Bone Score

Year:  2019        PMID: 31471889     DOI: 10.1007/s40520-019-01317-0

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  6 in total

1.  Does skeletal muscle morphology or functional performance better explain variance in fast gait speed in older adults?

Authors:  Daniel Komforti; Chett Joffe; Adonis Magras; Alexander Peller; Emily Garbe; Rishi Garib; Ashleigh Trapuzzano; Nicole Dawson; Matt S Stock
Journal:  Aging Clin Exp Res       Date:  2020-05-25       Impact factor: 3.636

Review 2.  Bone Quality in CKD Patients: Current Concepts and Future Directions - Part I.

Authors:  Kamyar Asadipooya; Mohamed Abdalbary; Yahya Ahmad; Elijah Kakani; Marie-Claude Monier-Faugere; Amr El-Husseini
Journal:  Kidney Dis (Basel)       Date:  2021-04-23

3.  Associations between bone mineral density, trabecular bone score, and body mass index in postmenopausal females.

Authors:  Azin Shayganfar; Mehrdad Farrokhi; Sanaz Shayganfar; Shadi Ebrahimian
Journal:  Osteoporos Sarcopenia       Date:  2020-09-06

4.  Differences between muscle from osteoporotic and osteoarthritic subjects: in vitro study by diffusion-tensor MRI and histological findings.

Authors:  Giulia Di Pietro; Manuel Scimeca; Riccardo Iundusi; Monica Celi; Elena Gasbarra; Umberto Tarantino; Silvia Capuani
Journal:  Aging Clin Exp Res       Date:  2020-02-06       Impact factor: 3.636

5.  Evaluation of baseline fracture risk in younger postmenopausal women with breast cancer using different risk assessment methods.

Authors:  Dagmar Schaffler-Schaden; Christoph Kneidinger; Gregor Schweighofer-Zwink; Maria Flamm; Bernhard Iglseder; Christian Pirich
Journal:  Skeletal Radiol       Date:  2020-01-24       Impact factor: 2.199

Review 6.  DXA parameters, Trabecular Bone Score (TBS) and Bone Mineral Density (BMD), in fracture risk prediction in endocrine-mediated secondary osteoporosis.

Authors:  Enisa Shevroja; Francesco Pio Cafarelli; Giuseppe Guglielmi; Didier Hans
Journal:  Endocrine       Date:  2021-07-10       Impact factor: 3.633

  6 in total

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