Validation of GLIM malnutrition criteria for diagnosis of malnutrition in ICU patients: An observational study.

Global subjective assessment (SGA) Intensive care unit (ICU) patients Low fat-free mass index (low FFMI) Patient- and nutrition-derived outcome risk assessment (PANDORA score) The global leadership initiative on malnutrition (GLIM)

Journal

Clinical nutrition (Edinburgh, Scotland)
ISSN: 1532-1983
Titre abrégé: Clin Nutr
Pays: England
ID NLM: 8309603

Informations de publication

Date de publication:
05 2021
Historique:
received: 31 08 2020
revised: 25 11 2020
accepted: 15 12 2020
pubmed: 9 1 2021
medline: 5 10 2021
entrez: 8 1 2021
Statut: ppublish

Résumé

Patients in the Intensive Care Unit (ICU) are at high risk of malnutrition. The only validated malnutrition assessment tool is the Subjective Global Assessment (SGA). The Global Leadership Initiative on Malnutrition (GLIM) is a new malnutrition assessment tool. The present study compares the nutrition-related parameters of the following tools: GLIM tool, SGA, Phase Angle (PA), Low Fat-Free Mass Index (FFMI), and Patient- and Nutrition-Derived Outcome Risk Assessment score (PANDORA), in an attempt to validate an objective tool. Eighty-four ICU patients were included. The tools mentioned above were assessed for their validity in diagnosing malnutrition. All patients were defined as suffering from acute disease and received medical nutrition therapy. To evaluate whether there is a correlation between the GLIM criteria, SGA, PA, and low FFMI, we compared the SGA, PA, and low FFMI to the GLIM criteria using Spearman correlation coefficients and a Chi-square test. Also, a Mann-Whitney U test was used to test the mean differences between the GLIM criteria and the PANDORA. The area under the curve (AUC) of the proposed parameters was evaluated for diagnosis of malnutrition to seek cutoff points that yield good sensitivity and specificity. Mean age was 50 ± 20 years, BMI 25.3 ± 5.1 kg/m The SGA malnutrition assessment highly validated the GLIM criteria framework combined with the two-criteria diagnosis of malnutrition with a high level of precision. The GLIM malnutrition assessment seems to be acceptable in the ICU setting.

Sections du résumé

BACKGROUND & AIMS
Patients in the Intensive Care Unit (ICU) are at high risk of malnutrition. The only validated malnutrition assessment tool is the Subjective Global Assessment (SGA). The Global Leadership Initiative on Malnutrition (GLIM) is a new malnutrition assessment tool. The present study compares the nutrition-related parameters of the following tools: GLIM tool, SGA, Phase Angle (PA), Low Fat-Free Mass Index (FFMI), and Patient- and Nutrition-Derived Outcome Risk Assessment score (PANDORA), in an attempt to validate an objective tool.
METHODS
Eighty-four ICU patients were included. The tools mentioned above were assessed for their validity in diagnosing malnutrition. All patients were defined as suffering from acute disease and received medical nutrition therapy. To evaluate whether there is a correlation between the GLIM criteria, SGA, PA, and low FFMI, we compared the SGA, PA, and low FFMI to the GLIM criteria using Spearman correlation coefficients and a Chi-square test. Also, a Mann-Whitney U test was used to test the mean differences between the GLIM criteria and the PANDORA. The area under the curve (AUC) of the proposed parameters was evaluated for diagnosis of malnutrition to seek cutoff points that yield good sensitivity and specificity.
RESULTS
Mean age was 50 ± 20 years, BMI 25.3 ± 5.1 kg/m
CONCLUSIONS
The SGA malnutrition assessment highly validated the GLIM criteria framework combined with the two-criteria diagnosis of malnutrition with a high level of precision. The GLIM malnutrition assessment seems to be acceptable in the ICU setting.

Identifiants

pubmed: 33413910
pii: S0261-5614(20)30696-8
doi: 10.1016/j.clnu.2020.12.021
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

3578-3584

Informations de copyright

Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors have no conflicts of interest to declare.

Auteurs

Miriam Theilla (M)

Department of General Intensive Care and Institute for Nutrition Research, Israel; Nutrition Department, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel; Steyer School of Health Professions, Nursing Department, Sackler School of Medicine, Tel Aviv University, Israel. Electronic address: theillamiriam@gmail.com.

Sornwichate Rattanachaiwong (S)

Division of Clinical Nutrition, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.

Ilya Kagan (I)

Department of General Intensive Care and Institute for Nutrition Research, Israel; Nutrition Department, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.

Merav Rigler (M)

Department of General Intensive Care and Institute for Nutrition Research, Israel; Nutrition Department, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.

Itai Bendavid (I)

Department of General Intensive Care and Institute for Nutrition Research, Israel; Nutrition Department, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.

Pierre Singer (P)

Department of General Intensive Care and Institute for Nutrition Research, Israel; Nutrition Department, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.

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