Clinical Performance of the Updated Trabecular Bone Score (TBS) Algorithm, Which Accounts for the Soft Tissue Thickness: The OsteoLaus Study. (25th October 2019)
- Record Type:
- Journal Article
- Title:
- Clinical Performance of the Updated Trabecular Bone Score (TBS) Algorithm, Which Accounts for the Soft Tissue Thickness: The OsteoLaus Study. (25th October 2019)
- Main Title:
- Clinical Performance of the Updated Trabecular Bone Score (TBS) Algorithm, Which Accounts for the Soft Tissue Thickness: The OsteoLaus Study
- Authors:
- Shevroja, Enisa
Aubry‐Rozier, Bérengère
Hans, Gabriel
Gonzalez‐Rodriguez, Elena
Stoll, Delphine
Lamy, Olivier
Hans, Didier - Abstract:
- ABSTRACT: Regional soft tissue may have a noise effect on trabecular bone score (TBS) and eventually alter its estimate. The current TBS software (TBS iNsight®) is based on an algorithm accounting for body mass index (BMI) (TBSv3.03 ). We aimed to explore the updated TBS algorithm that accounts for soft tissue thickness (TBSv4.0 ). This study was embedded in the OsteoLaus cohort of women in Lausanne, Switzerland. Hip and lumbar spine (LS) dual‐energy X‐ray absorptiometry (DXA) scans were performed using Discovery A System (Hologic). The incident major osteoporotic fractures (MOFs) were assessed from vertebral fracture assessments using Genant's method (vertebral MOF) or questionnaires (nonvertebral MOF). We assessed the correlations of bone mineral density (BMD) or TBS with body composition parameters; MOF prediction ability of both versions of TBS; and the differences between Fracture Risk Assessment Tool (FRAX) adjusted for TBSv3.03 or TBSv4.0 . In total, 1362 women with mean ± SD age 64.4 ± 7.5 years and mean ± SD BMI 25.9 ± 4.5 kg/m 2 were followed for 4.4 years and 132 experienced an MOF. All the anthropometric measurements of our interest were positively correlated with LS, femoral neck, or hip BMD and TBSv4.0 ; whereas with TBSv3.03 their correlations were negative. In the models adjusted for age, soft tissue thickness, osteoporotic treatment, and LS‐BMD, for each SD decline in TBSv3.03, there was a 43% (OR 1.43; 95% CI, 1.12 to 1.83) increase in the odds of havingABSTRACT: Regional soft tissue may have a noise effect on trabecular bone score (TBS) and eventually alter its estimate. The current TBS software (TBS iNsight®) is based on an algorithm accounting for body mass index (BMI) (TBSv3.03 ). We aimed to explore the updated TBS algorithm that accounts for soft tissue thickness (TBSv4.0 ). This study was embedded in the OsteoLaus cohort of women in Lausanne, Switzerland. Hip and lumbar spine (LS) dual‐energy X‐ray absorptiometry (DXA) scans were performed using Discovery A System (Hologic). The incident major osteoporotic fractures (MOFs) were assessed from vertebral fracture assessments using Genant's method (vertebral MOF) or questionnaires (nonvertebral MOF). We assessed the correlations of bone mineral density (BMD) or TBS with body composition parameters; MOF prediction ability of both versions of TBS; and the differences between Fracture Risk Assessment Tool (FRAX) adjusted for TBSv3.03 or TBSv4.0 . In total, 1362 women with mean ± SD age 64.4 ± 7.5 years and mean ± SD BMI 25.9 ± 4.5 kg/m 2 were followed for 4.4 years and 132 experienced an MOF. All the anthropometric measurements of our interest were positively correlated with LS, femoral neck, or hip BMD and TBSv4.0 ; whereas with TBSv3.03 their correlations were negative. In the models adjusted for age, soft tissue thickness, osteoporotic treatment, and LS‐BMD, for each SD decline in TBSv3.03, there was a 43% (OR 1.43; 95% CI, 1.12 to 1.83) increase in the odds of having MOF; whereas for each SD decline in TBSv4.0, there was a 54% (OR 1.54; 95% CI, 1.18 to 2.00) increase in the odds of having an MOF. Both FRAXs were very strongly correlated and the mild differences were present in the already high‐risk women for MOF. This study shows that TBSv4.0 overcomes the debatable residual negative correlation of the current TBS with body size and composition parameters, postulating itself as free from the previously acknowledged technical limitation of TBS. © 2019 American Society for Bone and Mineral Research. … (more)
- Is Part Of:
- Journal of bone and mineral research. Volume 34:Number 12(2019)
- Journal:
- Journal of bone and mineral research
- Issue:
- Volume 34:Number 12(2019)
- Issue Display:
- Volume 34, Issue 12 (2019)
- Year:
- 2019
- Volume:
- 34
- Issue:
- 12
- Issue Sort Value:
- 2019-0034-0012-0000
- Page Start:
- 2229
- Page End:
- 2237
- Publication Date:
- 2019-10-25
- Subjects:
- DXA -- FRACTURE PREVENTION -- FRACTURE RISK ASSESSMENT -- MENOPAUSE -- OSTEOPOROSIS
Bones -- Metabolism -- Periodicals
Mineral metabolism -- Periodicals
612.392 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1523-4681 ↗
http://www.jbmr-online.com ↗ - DOI:
- 10.1002/jbmr.3851 ↗
- Languages:
- English
- ISSNs:
- 0884-0431
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4954.255530
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16952.xml