SUN-PO196: Validity of the PG-SGA and PG-SGA SF Against GLIM Criteria to Identify Malnutrition in Cancer Outpatients

Meij, Barbara S. van der; Groot, Lynette M. De; Lee, G.; Ackerie, Antoinette

doi:10.1016/s0261-5614(19)32828-6

Cited by 1 publication

(1 citation statement)

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“…Until the time of publication of the studies included in this review, GLIM criteria had not established a uniform standard for measuring changes in muscle mass and strength. 2,29 Methods such as fat-free mass index, 10,12,13,18,21 electrical bioimpedance, 10,12,13,[15][16][17][18] handgrip strength, 10,16,18,19,21 calf circumference, 10,11,18,19 and arm muscle circumference 18,21 have been used in these studies. However, later, Barrazoni et al 30 recommend that quantitative assessment of muscle mass should be measured or estimated using dual-energy…”

Section: Discussionmentioning

confidence: 99%

GLIM criteria to identify malnutrition in patients in hospital settings: A systematic review

Alves,

de Jesus,

Britto

et al. 2023

J Parenter Enteral Nutr

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Malnutrition is recognized as one of the main public health problems in hospitals. The Global Leadership Initiative on Malnutrition (GLIM) has established a global consensus on the criteria for diagnosing malnutrition in adults in hospital settings. This study aimed to evaluate the ability of the GLIM criteria as a tool to identify malnutrition in hospital settings and to compare the prevalence of malnutrition identified by GLIM criteria with that identified by other screening and/or nutrition assessment methods. This was a systematic review. Searches were performed using MEDLINE/PubMed, Scopus, and Virtual Health Library, based on established descriptors. The included studies were observational and used screening and/or nutrition assessment tools to compare the prevalence of malnutrition and predictive capacity identified by GLIM criteria in patients aged >18 years in hospital settings. Twelve studies were included in this systematic review. A total of 4066 individuals with different pathologies and clinical conditions participated in the included studies. The prevalence of malnutrition, according to the GLIM criteria, ranged from 16% to 80%. In four studies, the prevalence of malnutrition based on GLIM was higher than that based on the other indicators. Six studies that evaluated the predictive ability of GLIM criteria identified satisfactory sensitivity and specificity. Four studies found low to high agreement between GLIM and the other methods. GLIM criteria can identify malnutrition and find a high prevalence and severity of malnutrition in the hospital setting, proving them to be a sensitive and specific instrument, with good agreement between screening and nutrition assessment methods.

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