Different muscle mass indices of the Global Leadership Initiative on Malnutrition in diagnosing malnutrition and predicting survival of patients with gastric cancer

被引:23
|
作者
Li, Qinqin [1 ,2 ,3 ,4 ]
Zhang, Xi [2 ,3 ,4 ]
Tang, Meng [2 ,3 ,4 ]
Song, Mengmeng [2 ,3 ,4 ]
Zhang, Qi [2 ,3 ,4 ]
Zhang, Kangping [2 ,3 ,4 ]
Ruan, Guotian [2 ,3 ,4 ]
Zhang, Xiaowei [2 ,3 ,4 ]
Ge, Yizhong [2 ,3 ,4 ]
Yang, Ming [2 ,3 ,4 ]
Liu, Yuying [1 ]
Xu, Hongxia [6 ]
Song, Chunhua [7 ]
Wang, Zhengping [1 ,5 ]
Shi, Hanping [2 ,3 ,4 ]
机构
[1] Liaocheng Univ, Inst Biopharmaceut, Liaocheng, Shandong, Peoples R China
[2] Capital Med Univ, Beijing Shijitan Hosp, Dept Gastrointestinal Surg, Dept Clin Nutr, Beijing, Peoples R China
[3] Capital Med Univ, Dept Oncol, Beijing, Peoples R China
[4] Beijing Int Sci & Technol Cooperat Base Canc Meta, Beijing, Peoples R China
[5] Liaocheng High Tech Biotechnol Co Ltd, Liaocheng, Shandong, Peoples R China
[6] Army Med Univ, Daping Hosp, Dept Clin Nutr, Chongqing, Peoples R China
[7] Zhengzhou Univ, Coll Publ Hlth, Dept Epidemiol, Zhengzhou, Henan, Peoples R China
关键词
Malnutrition; GLIM; Gastric cancer; Diagnosis; Survival; NUTRITIONAL-STATUS; SCREENING TOOLS; DEFINITION; CONSENSUS; IMPACT;
D O I
10.1016/j.nut.2021.111286
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Objective: Malnutrition is common and related to negative prognosis in patients with gastric cancer (GC). The Global Leadership Initiative on Malnutrition (GLIM), a novel consensus for the diagnosis of malnutrition, was proposed recently. However, the roles of GLIM in diagnosing malnutrition and predicting overall survival (OS) in patients with GC have been unclear. Method: We conducted a multicenter, observational cohort study including 877 hospitalized patients with GC 2013 through 2018. Different anthropometric measurements were compared to assess reduced muscle mass. Kaplan-Meier curves and multivariate Cox regression were used to analyze the relationship between GLIMdefined malnutrition and the OS of patients with GC. Independent prognostic variables were incorporated to develop a nomogram for individualized survival prediction. The calibration curve was used to determine the predictive accuracy and discriminatory capacity of the nomogram. In addition, 219 patients with GC were enrolled for external validation. Results: A total of 464 (53%) patients with GC were diagnosed with malnutrition. Patients diagnosed with severe malnutrition based on either midarm circumference or body weight-standardized hand grip strength had a shorter median survival time (16.7 mo; interquartile range, 8.4-32.7 mo) and a higher hazard ratio (HR, 1.49; 95% CI, 1.15-1.92; P = 0.002). Severe malnutrition was an independent risk factor for OS (HR, 1.32; 95% CI, 1.02-1.71; P = 0.038). The GLIM nomogram showed good performance in predicting 3-y survival in patients with GC. Conclusions: Our findings support the effectiveness of GLIM in diagnosing malnutrition and predicting OS in patients with GC. (c) 2021 Elsevier Inc. All rights reserved.
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页数:8
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