摘要
Background:The Global Leadership Initiative on Malnutrition(GLIM)criteria were published to build a global consensus on nutritional diagnosis.Reduced muscle mass is a phenotypic criterion with strong evidence to support its inclusion in the GLIM consensus criteria.However,there is no consensus regarding how to accurately measure and define reduced muscle mass in clinical settings.This study aimed to investigate the optimal reference values of skeletal muscle mass index for diagnosing sarcopenia and GLIM-defined malnutrition,as well as the prevalence of GLIM-defined malnutrition in hospitalized cirrhotic patients.Methods:This retrospective study was conducted on 1002 adult patients with liver cirrhosis between January 1,2018,and February 28,2022,at Beijing You-An Hospital,Capital Medical University.Adult patients with a clinical diagnosis of liver cirrhosis and who underwent an abdominal computed tomography(CT)examination during hospitalization were included in the study.These patients were randomly divided into a modeling group(cohort 1,667 patients)and a validation group(cohort 2,335 patients).In cohort 1,optimal cut-off values of skeletal muscle index at the third lumbar skeletal muscle index(L3-SMI)were determined using receiver operating characteristic analyses against in-hospital mortality in different gender groups.Next,patients in cohort 2 were screened for nutritional risk using the Nutritional Risk Screening 2002(NRS-2002),and malnutrition was diagnosed by GLIM criteria.Additionally,the reference values of reduced muscle mass in GLIM criteria were derived from the L3-SMI values from cohort 1.Multivariate logistic regression analysis was used to analyze the association between GLIM-defined malnutrition and clinical outcomes.Results:The optimal cut-off values of L3-SMI were 39.50 cm 2/m 2 for male patients and 33.06 cm 2/m 2 for female patients.Based on the cut-off values,31.63%(68/215)of the male patients and 23.3%(28/120)of the female patients had CT-determined sarcopenia in cohort 2.The prevalence of GL
基金
supported by grants from the National Natural Science Foundation of China(No.82170643)
Internal Project of Beijing Youan Hospital Capital Medical University(No.YNKTLC2021005)
