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 GLIM-defined 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.
Keywords: Diagnosis; GLIM; Gastric cancer; Malnutrition; Survival.
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