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Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients

In elderly ICU patients, the prevalence of skeletal muscle loss is high. Longitudinal effect of thoracic muscles, especially in elderly ICU patients, are unclear although skeletal muscle loss is related with the short- and long-term outcomes. This study aimed to evaluate whether pectoralis muscle ma...

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Autores principales: Moon, Sung Woo, Kim, Song Yee, Choi, Ji Soo, Leem, Ah Young, Lee, Su Hwan, Park, Moo Suk, Kim, Young Sam, Chung, Kyung Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648749/
https://www.ncbi.nlm.nih.gov/pubmed/34873225
http://dx.doi.org/10.1038/s41598-021-02853-4
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author Moon, Sung Woo
Kim, Song Yee
Choi, Ji Soo
Leem, Ah Young
Lee, Su Hwan
Park, Moo Suk
Kim, Young Sam
Chung, Kyung Soo
author_facet Moon, Sung Woo
Kim, Song Yee
Choi, Ji Soo
Leem, Ah Young
Lee, Su Hwan
Park, Moo Suk
Kim, Young Sam
Chung, Kyung Soo
author_sort Moon, Sung Woo
collection PubMed
description In elderly ICU patients, the prevalence of skeletal muscle loss is high. Longitudinal effect of thoracic muscles, especially in elderly ICU patients, are unclear although skeletal muscle loss is related with the short- and long-term outcomes. This study aimed to evaluate whether pectoralis muscle mass loss could be a predictor of prognosis in elderly ICU patients. We retrospectively evaluated 190 elderly (age > 70 years) patients admitted to the ICU. We measured the cross-sectional area (CSA) of the pectoralis muscle (PM(CSA)) at the fourth vertebral region. CT scans within two days before ICU admission were used for analysis. Mortality, prolonged mechanical ventilation, and longitudinal changes in Sequential Organ Failure Assessment (SOFA) scores were examined. PM(CSA) below median was significantly related with prolonged ventilation (odds ratio 2.92) and a higher SOFA scores during the ICU stay (estimated mean = 0.94). PM(CSA) below median was a significant risk for hospital mortality (hazards ratio 2.06). In elderly ICU patients, a low ICU admission PM(CSA) was associated with prolonged ventilation, higher SOFA score during the ICU stay, and higher mortality. Adding thoracic skeletal muscle CSA at the time of ICU admission into consideration in deciding the therapeutic intensity in elderly ICU patients may help in making medical decisions.
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spelling pubmed-86487492021-12-08 Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients Moon, Sung Woo Kim, Song Yee Choi, Ji Soo Leem, Ah Young Lee, Su Hwan Park, Moo Suk Kim, Young Sam Chung, Kyung Soo Sci Rep Article In elderly ICU patients, the prevalence of skeletal muscle loss is high. Longitudinal effect of thoracic muscles, especially in elderly ICU patients, are unclear although skeletal muscle loss is related with the short- and long-term outcomes. This study aimed to evaluate whether pectoralis muscle mass loss could be a predictor of prognosis in elderly ICU patients. We retrospectively evaluated 190 elderly (age > 70 years) patients admitted to the ICU. We measured the cross-sectional area (CSA) of the pectoralis muscle (PM(CSA)) at the fourth vertebral region. CT scans within two days before ICU admission were used for analysis. Mortality, prolonged mechanical ventilation, and longitudinal changes in Sequential Organ Failure Assessment (SOFA) scores were examined. PM(CSA) below median was significantly related with prolonged ventilation (odds ratio 2.92) and a higher SOFA scores during the ICU stay (estimated mean = 0.94). PM(CSA) below median was a significant risk for hospital mortality (hazards ratio 2.06). In elderly ICU patients, a low ICU admission PM(CSA) was associated with prolonged ventilation, higher SOFA score during the ICU stay, and higher mortality. Adding thoracic skeletal muscle CSA at the time of ICU admission into consideration in deciding the therapeutic intensity in elderly ICU patients may help in making medical decisions. Nature Publishing Group UK 2021-12-06 /pmc/articles/PMC8648749/ /pubmed/34873225 http://dx.doi.org/10.1038/s41598-021-02853-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Moon, Sung Woo
Kim, Song Yee
Choi, Ji Soo
Leem, Ah Young
Lee, Su Hwan
Park, Moo Suk
Kim, Young Sam
Chung, Kyung Soo
Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients
title Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients
title_full Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients
title_fullStr Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients
title_full_unstemmed Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients
title_short Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients
title_sort thoracic skeletal muscle quantification using computed tomography and prognosis of elderly icu patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648749/
https://www.ncbi.nlm.nih.gov/pubmed/34873225
http://dx.doi.org/10.1038/s41598-021-02853-4
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