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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...

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Autores principales: Nagano, Ayano, Shimizu, Akio, Maeda, Keisuke, Ueshima, Junko, Inoue, Tatsuro, Murotani, Kenta, Ishida, Yuria, Mori, Naoharu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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