Literature DB >> 33583658

Value of muscle quality, strength and gait speed in supporting the predictive power of GLIM-defined malnutrition for postoperative outcomes in overweight patients with gastric cancer.

Dong-Dong Huang1, Gao-Feng Wu2, Xin Luo1, Hao-Nan Song1, Wen-Bin Wang1, Na-Xin Liu1, Zhen Yu3, Qian-Tong Dong1, Xiao-Lei Chen4, Jing-Yi Yan5.   

Abstract

BACKGROUND: The present study aims to investigate the prognostic value of Global Leadership Initiative in Malnutrition (GLIM)-defined malnutrition in overweight patients who underwent gastrectomy for gastric cancer, and to explore whether the addition of muscle quality, strength and gait speed could improve the predictive power for postoperative outcomes.
METHODS: Overweight patients (body mass index (BMI) ≥23 kg/m2) who underwent radical gastrectomy for gastric cancer were included in this study. Malnutrition was diagnosed using the two-step approach following the GLIM criteria. Skeletal muscle mass and quality was assessed using computed tomography (CT) determined skeletal muscle index (SMI) and skeletal muscle density (SMD), respectively. Hand-grip strength and 6-m gait speed were measured before surgery.
RESULTS: A total of 587 overweight patients were included, in which 262 patients were identified as having obesity (BMI ≥25 kg/m2). The prevalence of malnutrition was 11.9% and 10.7% for overweight and obese patients, respectively. GLIM-defined malnutrition alone was not predictive for postoperative complications in overweight patients. The addition of low gait speed or muscle quality to GLIM-defined malnutrition led to a significant predictive value for postoperative complications. Low gait speed plus GLIM-defined malnutrition remained significant in the multivariate analysis. GLIM-defined malnutrition was predictive for overall survival (OS) and disease-free survival (DFS). Addition of low gait speed to GLIM-defined malnutrition increased the hazard ratio (HR) for the prediction of OS and DFS (univariate analysis: 2.880 vs. 2.238 for OS, 2.410 vs. 1.937 for DFS; multivariate analysis: 2.836 vs. 1.841 for OS, 2.433 vs. 1.634 for DFS). Addition of low hand-grip strength to GLIM-defined malnutrition led to a higher HR for the prediction of OS (2.144 vs. 1.841) in the multivariate analysis.
CONCLUSION: Muscle quality, strength and gait speed added prognostic value to GLIM-defined malnutrition for the prediction of postoperative complications and/or survival in overweight patients who underwent radical gastrectomy for gastric cancer, especially gait speed, which could be incorporated into nutritional assessment protocols.
Copyright © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Gastric cancer; Malnutrition; Physical function; Postoperative outcomes; Skeletal muscle

Mesh:

Year:  2021        PMID: 33583658     DOI: 10.1016/j.clnu.2021.01.038

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  3 in total

Review 1.  Current status of the association between malnutrition defined by the GLIM criteria and postoperative outcomes in gastrointestinal surgery for cancer: a narrative review.

Authors:  Ryota Matsui; Kazuma Rifu; Jun Watanabe; Noriyuki Inaki; Tetsu Fukunaga
Journal:  J Cancer Res Clin Oncol       Date:  2022-07-08       Impact factor: 4.553

2.  Association Between Fat Mass to Lean Body Mass Ratio and All-Cause Mortality Among Middle-Aged and Elderly Cancer Patients Without Obesity: A Multi-Center Observational Study in China.

Authors:  Hongmei Xue; Hongzhen Du; Ying Xie; Yijing Zhai; Shiming Song; Bin Luo; Hong Qiu; Kunhua Wang; Jiuwei Cui; Chunhua Song; Hongxia Xu; Wei Li; Hanping Shi; Zengning Li
Journal:  Front Nutr       Date:  2022-06-16

3.  Development and Validation of Cutoff Value for Reduced Muscle Mass for GLIM Criteria in Patients with Gastrointestinal and Hepatobiliary-Pancreatic Cancers.

Authors:  Mami Takimoto; Sonoko Yasui-Yamada; Nanami Nasu; Natsumi Kagiya; Nozomi Aotani; Yumiko Kurokawa; Yoshiko Tani-Suzuki; Hideya Kashihara; Yu Saito; Masaaki Nishi; Mitsuo Shimada; Yasuhiro Hamada
Journal:  Nutrients       Date:  2022-02-23       Impact factor: 5.717

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.