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

Authors :
Shanjun Tan
Qiulin Zhuang
Zhige Zhang
Shuhao Li
Jiahao Xu
Junjie Wang
Yanni Zhang
Qiulei Xi
Qingyang Meng
Yi Jiang
Guohao Wu
Source :
Frontiers in Nutrition, Vol 9 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

BackgroundSkeletal 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.MethodsPatients 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.ResultsThe 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).ConclusionsLoss 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.

Details

Language :
English
ISSN :
2296861X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
Frontiers in Nutrition
Publication Type :
Academic Journal
Accession number :
edsdoj.6be981c12f34f2ba153748adeda7e5a
Document Type :
article
Full Text :
https://doi.org/10.3389/fnut.2022.794576