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Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery

BACKGROUND: Skeletal muscle mass deterioration is common in gastric cancer (GC) patients and is linked to poor prognosis. However, information regarding the effect of skeletal muscle mass changes in the postoperative period is scarce. This study was to investigate the link between postoperative loss...

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Autores principales: Tan, Shanjun, Zhuang, Qiulin, Zhang, Zhige, Li, Shuhao, Xu, Jiahao, Wang, Junjie, Zhang, Yanni, Xi, Qiulei, Meng, Qingyang, Jiang, Yi, Wu, Guohao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843827/
https://www.ncbi.nlm.nih.gov/pubmed/35178421
http://dx.doi.org/10.3389/fnut.2022.794576
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author Tan, Shanjun
Zhuang, Qiulin
Zhang, Zhige
Li, Shuhao
Xu, Jiahao
Wang, Junjie
Zhang, Yanni
Xi, Qiulei
Meng, Qingyang
Jiang, Yi
Wu, Guohao
author_facet Tan, Shanjun
Zhuang, Qiulin
Zhang, Zhige
Li, Shuhao
Xu, Jiahao
Wang, Junjie
Zhang, Yanni
Xi, Qiulei
Meng, Qingyang
Jiang, Yi
Wu, Guohao
author_sort Tan, Shanjun
collection PubMed
description BACKGROUND: Skeletal muscle mass deterioration is common in gastric cancer (GC) patients and is linked to poor prognosis. However, information regarding the effect of skeletal muscle mass changes in the postoperative period is scarce. This study was to investigate the link between postoperative loss of skeletal muscle mass and survival following GC surgery. METHODS: Patients who underwent GC surgery between January 2015 and December 2016 were recruited into the study. Computed tomography at L3 vertebral level was used to examine skeletal muscle index prior to surgery and about 6 months after surgery. Skeletal muscle index changes were categorized as presence or absence of ≥5% loss. Overall survival (OS) and disease-free survival (DFS) were analyzed, and Cox proportional hazard models used to identify their predictors. RESULTS: The study comprised of 318 gastric cancer patients of which 63.5% were male. The group's mean age was 58.14 ± 10.77 years. Sixty-five patients experienced postoperative skeletal muscle index loss ≥5% and had poorer OS (P = 0.004) and DFS (P = 0.020). We find that postoperative skeletal muscle index loss ≥ 5% predicts OS [hazard ratio (HR): 2.769, 95% confidence interval (CI): 1.865–4.111; P < 0.001] and DFS (HR: 2.533, 95% CI: 1.753–3.659; P < 0.001). CONCLUSIONS: Loss of skeletal muscle mass postoperatively is linked to poor survival following GC surgery. Further studies are needed to determine whether stabilizing or enhancing skeletal muscle mass after surgery improves survival.
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spelling pubmed-88438272022-02-16 Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery Tan, Shanjun Zhuang, Qiulin Zhang, Zhige Li, Shuhao Xu, Jiahao Wang, Junjie Zhang, Yanni Xi, Qiulei Meng, Qingyang Jiang, Yi Wu, Guohao Front Nutr Nutrition BACKGROUND: Skeletal muscle mass deterioration is common in gastric cancer (GC) patients and is linked to poor prognosis. However, information regarding the effect of skeletal muscle mass changes in the postoperative period is scarce. This study was to investigate the link between postoperative loss of skeletal muscle mass and survival following GC surgery. METHODS: Patients who underwent GC surgery between January 2015 and December 2016 were recruited into the study. Computed tomography at L3 vertebral level was used to examine skeletal muscle index prior to surgery and about 6 months after surgery. Skeletal muscle index changes were categorized as presence or absence of ≥5% loss. Overall survival (OS) and disease-free survival (DFS) were analyzed, and Cox proportional hazard models used to identify their predictors. RESULTS: The study comprised of 318 gastric cancer patients of which 63.5% were male. The group's mean age was 58.14 ± 10.77 years. Sixty-five patients experienced postoperative skeletal muscle index loss ≥5% and had poorer OS (P = 0.004) and DFS (P = 0.020). We find that postoperative skeletal muscle index loss ≥ 5% predicts OS [hazard ratio (HR): 2.769, 95% confidence interval (CI): 1.865–4.111; P < 0.001] and DFS (HR: 2.533, 95% CI: 1.753–3.659; P < 0.001). CONCLUSIONS: Loss of skeletal muscle mass postoperatively is linked to poor survival following GC surgery. Further studies are needed to determine whether stabilizing or enhancing skeletal muscle mass after surgery improves survival. Frontiers Media S.A. 2022-02-01 /pmc/articles/PMC8843827/ /pubmed/35178421 http://dx.doi.org/10.3389/fnut.2022.794576 Text en Copyright © 2022 Tan, Zhuang, Zhang, Li, Xu, Wang, Zhang, Xi, Meng, Jiang and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Tan, Shanjun
Zhuang, Qiulin
Zhang, Zhige
Li, Shuhao
Xu, Jiahao
Wang, Junjie
Zhang, Yanni
Xi, Qiulei
Meng, Qingyang
Jiang, Yi
Wu, Guohao
Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery
title Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery
title_full Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery
title_fullStr Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery
title_full_unstemmed Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery
title_short Postoperative Loss of Skeletal Muscle Mass Predicts Poor Survival After Gastric Cancer Surgery
title_sort postoperative loss of skeletal muscle mass predicts poor survival after gastric cancer surgery
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843827/
https://www.ncbi.nlm.nih.gov/pubmed/35178421
http://dx.doi.org/10.3389/fnut.2022.794576
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