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Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients
The assessment of sarcopenia is part of the nutritional assessment index and is essential in stroke management. This study aimed to identify and validate cutoff values of temporal muscle thickness (TMT) measured using computed tomography to identify sarcopenia after acute stroke. The participants we...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739439/ https://www.ncbi.nlm.nih.gov/pubmed/36501078 http://dx.doi.org/10.3390/nu14235048 |
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author | Nagano, Ayano Shimizu, Akio Maeda, Keisuke Ueshima, Junko Inoue, Tatsuro Murotani, Kenta Ishida, Yuria Mori, Naoharu |
author_facet | Nagano, Ayano Shimizu, Akio Maeda, Keisuke Ueshima, Junko Inoue, Tatsuro Murotani, Kenta Ishida, Yuria Mori, Naoharu |
author_sort | Nagano, Ayano |
collection | PubMed |
description | The assessment of sarcopenia is part of the nutritional assessment index and is essential in stroke management. This study aimed to identify and validate cutoff values of temporal muscle thickness (TMT) measured using computed tomography to identify sarcopenia after acute stroke. The participants were patients with stroke aged ≥65 years who were admitted to rehabilitation units. The recruited patients were randomly divided into the calculation and validation cohort. In the calculation cohort, TMT cutoff values for identifying sarcopenia were calculated using receiver operating characteristic analysis. The obtained values were validated in the validation cohort using sensitivity and specificity. The calculation cohort included 230 patients (125 men, mean age, 77.2 ± 7.2 years), whereas the validation cohort included 235 patients (125 men, mean age, 76.4 ± 6.95 years). The TMT cutoff values for identifying sarcopenia and low skeletal muscle index were the same: 3.83 mm for men and 2.78 mm for women. The TMT cutoff value for identifying sarcopenia showed a sensitivity and specificity of 0.642 and 0.750, respectively, for men, and 0.660 and 0.567, respectively, for women. We identified a valid cutoff value of temporal muscle thickness for identifying sarcopenia after acute stroke. TMT is easy to measure and may be useful for the early detection of sarcopenia. |
format | Online Article Text |
id | pubmed-9739439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97394392022-12-11 Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients Nagano, Ayano Shimizu, Akio Maeda, Keisuke Ueshima, Junko Inoue, Tatsuro Murotani, Kenta Ishida, Yuria Mori, Naoharu Nutrients Article The assessment of sarcopenia is part of the nutritional assessment index and is essential in stroke management. This study aimed to identify and validate cutoff values of temporal muscle thickness (TMT) measured using computed tomography to identify sarcopenia after acute stroke. The participants were patients with stroke aged ≥65 years who were admitted to rehabilitation units. The recruited patients were randomly divided into the calculation and validation cohort. In the calculation cohort, TMT cutoff values for identifying sarcopenia were calculated using receiver operating characteristic analysis. The obtained values were validated in the validation cohort using sensitivity and specificity. The calculation cohort included 230 patients (125 men, mean age, 77.2 ± 7.2 years), whereas the validation cohort included 235 patients (125 men, mean age, 76.4 ± 6.95 years). The TMT cutoff values for identifying sarcopenia and low skeletal muscle index were the same: 3.83 mm for men and 2.78 mm for women. The TMT cutoff value for identifying sarcopenia showed a sensitivity and specificity of 0.642 and 0.750, respectively, for men, and 0.660 and 0.567, respectively, for women. We identified a valid cutoff value of temporal muscle thickness for identifying sarcopenia after acute stroke. TMT is easy to measure and may be useful for the early detection of sarcopenia. MDPI 2022-11-27 /pmc/articles/PMC9739439/ /pubmed/36501078 http://dx.doi.org/10.3390/nu14235048 Text en © 2022 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 Nagano, Ayano Shimizu, Akio Maeda, Keisuke Ueshima, Junko Inoue, Tatsuro Murotani, Kenta Ishida, Yuria Mori, Naoharu Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients |
title | Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients |
title_full | Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients |
title_fullStr | Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients |
title_full_unstemmed | Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients |
title_short | Predictive Value of Temporal Muscle Thickness for Sarcopenia after Acute Stroke in Older Patients |
title_sort | predictive value of temporal muscle thickness for sarcopenia after acute stroke in older patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739439/ https://www.ncbi.nlm.nih.gov/pubmed/36501078 http://dx.doi.org/10.3390/nu14235048 |
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