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DXA-Derived Indices in the Characterisation of Sarcopenia

Sarcopenia is linked with increased risk of falls, osteoporosis and mortality. No consensus exists about a gold standard “dual-energy X-ray absorptiometry (DXA) index for muscle mass determination” in sarcopenia diagnosis. Thus, many indices exist, but data on sarcopenia diagnosis agreement are scar...

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Autores principales: Schweighofer, Natascha, Colantonio, Caterina, Haudum, Christoph W., Hutz, Barbara, Kolesnik, Ewald, Mursic, Ines, Pilz, Stefan, Schmidt, Albrecht, Stadlbauer, Vanessa, Zirlik, Andreas, Pieber, Thomas R., Verheyen, Nicolas, Obermayer-Pietsch, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747660/
https://www.ncbi.nlm.nih.gov/pubmed/35011061
http://dx.doi.org/10.3390/nu14010186
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author Schweighofer, Natascha
Colantonio, Caterina
Haudum, Christoph W.
Hutz, Barbara
Kolesnik, Ewald
Mursic, Ines
Pilz, Stefan
Schmidt, Albrecht
Stadlbauer, Vanessa
Zirlik, Andreas
Pieber, Thomas R.
Verheyen, Nicolas
Obermayer-Pietsch, Barbara
author_facet Schweighofer, Natascha
Colantonio, Caterina
Haudum, Christoph W.
Hutz, Barbara
Kolesnik, Ewald
Mursic, Ines
Pilz, Stefan
Schmidt, Albrecht
Stadlbauer, Vanessa
Zirlik, Andreas
Pieber, Thomas R.
Verheyen, Nicolas
Obermayer-Pietsch, Barbara
author_sort Schweighofer, Natascha
collection PubMed
description Sarcopenia is linked with increased risk of falls, osteoporosis and mortality. No consensus exists about a gold standard “dual-energy X-ray absorptiometry (DXA) index for muscle mass determination” in sarcopenia diagnosis. Thus, many indices exist, but data on sarcopenia diagnosis agreement are scarce. Regarding sarcopenia diagnosis reliability, the impact of influencing factors on sarcopenia prevalence, diagnosis agreement and reliability are almost completely missing. For nine DXA-derived muscle mass indices, we aimed to evaluate sarcopenia prevalence, diagnosis agreement and diagnosis reliability, and investigate the effects of underlying parameters, presence or type of adjustment and cut-off values on all three outcomes. The indices were analysed in the BioPersMed cohort (58 ± 9 years), including 1022 asymptomatic subjects at moderate cardiovascular risk. DXA data from 792 baselines and 684 follow-up measurements (for diagnosis agreement and reliability determination) were available. Depending on the index and cut-off values, sarcopenia prevalence varied from 0.6 to 36.3%. Height-adjusted parameters, independent of underlying parameters, showed a relatively high level of diagnosis agreement, whereas unadjusted and adjusted indices showed low diagnosis agreement. The adjustment type defines which individuals are recognised as sarcopenic in terms of BMI and sex. The investigated indices showed comparable diagnosis reliability in follow-up examinations
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spelling pubmed-87476602022-01-11 DXA-Derived Indices in the Characterisation of Sarcopenia Schweighofer, Natascha Colantonio, Caterina Haudum, Christoph W. Hutz, Barbara Kolesnik, Ewald Mursic, Ines Pilz, Stefan Schmidt, Albrecht Stadlbauer, Vanessa Zirlik, Andreas Pieber, Thomas R. Verheyen, Nicolas Obermayer-Pietsch, Barbara Nutrients Article Sarcopenia is linked with increased risk of falls, osteoporosis and mortality. No consensus exists about a gold standard “dual-energy X-ray absorptiometry (DXA) index for muscle mass determination” in sarcopenia diagnosis. Thus, many indices exist, but data on sarcopenia diagnosis agreement are scarce. Regarding sarcopenia diagnosis reliability, the impact of influencing factors on sarcopenia prevalence, diagnosis agreement and reliability are almost completely missing. For nine DXA-derived muscle mass indices, we aimed to evaluate sarcopenia prevalence, diagnosis agreement and diagnosis reliability, and investigate the effects of underlying parameters, presence or type of adjustment and cut-off values on all three outcomes. The indices were analysed in the BioPersMed cohort (58 ± 9 years), including 1022 asymptomatic subjects at moderate cardiovascular risk. DXA data from 792 baselines and 684 follow-up measurements (for diagnosis agreement and reliability determination) were available. Depending on the index and cut-off values, sarcopenia prevalence varied from 0.6 to 36.3%. Height-adjusted parameters, independent of underlying parameters, showed a relatively high level of diagnosis agreement, whereas unadjusted and adjusted indices showed low diagnosis agreement. The adjustment type defines which individuals are recognised as sarcopenic in terms of BMI and sex. The investigated indices showed comparable diagnosis reliability in follow-up examinations MDPI 2021-12-31 /pmc/articles/PMC8747660/ /pubmed/35011061 http://dx.doi.org/10.3390/nu14010186 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schweighofer, Natascha
Colantonio, Caterina
Haudum, Christoph W.
Hutz, Barbara
Kolesnik, Ewald
Mursic, Ines
Pilz, Stefan
Schmidt, Albrecht
Stadlbauer, Vanessa
Zirlik, Andreas
Pieber, Thomas R.
Verheyen, Nicolas
Obermayer-Pietsch, Barbara
DXA-Derived Indices in the Characterisation of Sarcopenia
title DXA-Derived Indices in the Characterisation of Sarcopenia
title_full DXA-Derived Indices in the Characterisation of Sarcopenia
title_fullStr DXA-Derived Indices in the Characterisation of Sarcopenia
title_full_unstemmed DXA-Derived Indices in the Characterisation of Sarcopenia
title_short DXA-Derived Indices in the Characterisation of Sarcopenia
title_sort dxa-derived indices in the characterisation of sarcopenia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747660/
https://www.ncbi.nlm.nih.gov/pubmed/35011061
http://dx.doi.org/10.3390/nu14010186
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