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Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer

Low skeletal muscle mass reflects poor nutritional condition, which may impair the functional status and quality of life (QOL) of survivors of gastrectomy. The present cross-sectional study examined the association between a relative change in skeletal muscle mass and perceived postoperative health...

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Autores principales: Ueda, Yoshinori, Seshimo, Akiyoshi, Okamoto, Takahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326561/
https://www.ncbi.nlm.nih.gov/pubmed/37424626
http://dx.doi.org/10.3892/mco.2023.2655
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author Ueda, Yoshinori
Seshimo, Akiyoshi
Okamoto, Takahiro
author_facet Ueda, Yoshinori
Seshimo, Akiyoshi
Okamoto, Takahiro
author_sort Ueda, Yoshinori
collection PubMed
description Low skeletal muscle mass reflects poor nutritional condition, which may impair the functional status and quality of life (QOL) of survivors of gastrectomy. The present cross-sectional study examined the association between a relative change in skeletal muscle mass and perceived postoperative health and QOL in patients with gastric cancer. The study comprised 74 patients (48 men and 26 women; median age, 68.5 years) who underwent surgery for stage I-III gastric cancer. Outcomes were measured using the Postgastrectomy Syndrome Assessment Scale-45, which was specifically developed to measure post-gastrectomy symptoms, living status, dissatisfaction with daily life and generic QOL. The skeletal muscle mass index (SMI) was estimated using computed tomography by tracing the area of the psoas major muscle to calculate the ΔSMI, defined as: (SMI before surgery-SMI at completion of the PGSAS-45 survey)/SMI before surgery x100. Associations between ΔSMI and health outcomes were assessed using univariate and multivariate analyses. The mean ΔSMI (SD) was 8.64% (10.6%). The effect size (Cohen's d) of ΔSMI <10% compared with ΔSMI ≥10% was 0.50 (95% CI: 0.02 to 0.97) for total symptom scores, -0.51 (-0.98 to -0.03) for general health, and -0.52 (-0.99 to -0.05) for the physical component summary (PCS). Multiple regression analysis showed that ΔSMI was significantly associated with PCS decline, and its standardized regression coefficient was -0.447 (-0.209 to -0.685). Determining ΔSMI may help clinicians to facilitate the objective evaluation of low skeletal mass, which reflects poor nutritional condition that can impair functional status and QOL of postoperative patients surviving gastrectomy.
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spelling pubmed-103265612023-07-08 Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer Ueda, Yoshinori Seshimo, Akiyoshi Okamoto, Takahiro Mol Clin Oncol Articles Low skeletal muscle mass reflects poor nutritional condition, which may impair the functional status and quality of life (QOL) of survivors of gastrectomy. The present cross-sectional study examined the association between a relative change in skeletal muscle mass and perceived postoperative health and QOL in patients with gastric cancer. The study comprised 74 patients (48 men and 26 women; median age, 68.5 years) who underwent surgery for stage I-III gastric cancer. Outcomes were measured using the Postgastrectomy Syndrome Assessment Scale-45, which was specifically developed to measure post-gastrectomy symptoms, living status, dissatisfaction with daily life and generic QOL. The skeletal muscle mass index (SMI) was estimated using computed tomography by tracing the area of the psoas major muscle to calculate the ΔSMI, defined as: (SMI before surgery-SMI at completion of the PGSAS-45 survey)/SMI before surgery x100. Associations between ΔSMI and health outcomes were assessed using univariate and multivariate analyses. The mean ΔSMI (SD) was 8.64% (10.6%). The effect size (Cohen's d) of ΔSMI <10% compared with ΔSMI ≥10% was 0.50 (95% CI: 0.02 to 0.97) for total symptom scores, -0.51 (-0.98 to -0.03) for general health, and -0.52 (-0.99 to -0.05) for the physical component summary (PCS). Multiple regression analysis showed that ΔSMI was significantly associated with PCS decline, and its standardized regression coefficient was -0.447 (-0.209 to -0.685). Determining ΔSMI may help clinicians to facilitate the objective evaluation of low skeletal mass, which reflects poor nutritional condition that can impair functional status and QOL of postoperative patients surviving gastrectomy. D.A. Spandidos 2023-06-21 /pmc/articles/PMC10326561/ /pubmed/37424626 http://dx.doi.org/10.3892/mco.2023.2655 Text en Copyright: © Ueda et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Ueda, Yoshinori
Seshimo, Akiyoshi
Okamoto, Takahiro
Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer
title Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer
title_full Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer
title_fullStr Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer
title_full_unstemmed Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer
title_short Postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer
title_sort postoperative relative decrease in skeletal muscle mass as a predictor of quality of life in patients with gastric cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326561/
https://www.ncbi.nlm.nih.gov/pubmed/37424626
http://dx.doi.org/10.3892/mco.2023.2655
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