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AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors
OBJECTIVES: Our aim is to determine whether different malnutrition diagnostic tools [European Society of Clinical Nutrition and Metabolism (ESPEN), Academy of Nutrition and Dietetics/American Society of Parenteral and Enteral Nutrition (AND/ASPEN) and the Global Leadership Initiative on Malnutrition...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193705/ http://dx.doi.org/10.1093/cdn/nzac060.021 |
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author | El Chaar, Dayana El Khoury, Cosette Mattar, Lama |
author_facet | El Chaar, Dayana El Khoury, Cosette Mattar, Lama |
author_sort | El Chaar, Dayana |
collection | PubMed |
description | OBJECTIVES: Our aim is to determine whether different malnutrition diagnostic tools [European Society of Clinical Nutrition and Metabolism (ESPEN), Academy of Nutrition and Dietetics/American Society of Parenteral and Enteral Nutrition (AND/ASPEN) and the Global Leadership Initiative on Malnutrition (GLIM)] are associated with common malnutrition-related risk factors in a sample of newly admitted hospital patients. METHODS: This study is a prospective observational study. Newly admitted hospital patients were screened for nutritional risk. At-risk patients were then assessed for malnutrition using ESPEN, AND/ASPEN and GLIM criteria. Bivariate analyses were computed for all predictors and tested with the result of the nutritional assessment of each of the diagnostic tools. Similarly, a logistic regression was then conducted to determine the predictors associated with each malnutrition diagnostic criteria. RESULTS: 578 patients were screened for malnutrition, of which 121(20.93%) were nutritionally at risk and were subjected to nutritional assessment. The regression model suggested that the presence of pressure ulcers (OR 21.252, 95% CI 4.495–100.485), higher Charlson Comorbidiy Index (CCI) score (OR 1.321, 95% CI 1.098–1.591), lower Body Mass Index (BMI) (OR 0.478, 95% CI 0.389–0.588), and older age (OR 1.035, 95% CI 1.005–1.065) were significant predictors of malnutrition diagnosed on ESPEN criteria. While female gender [(OR 2.406, 95% CI 1.446–4.004); (OR 2.300; 95% CI 1.397–3.786)], lower BMI [(OR 0.842, 95% CI 0.792–0.895); (OR 0.835 95% CI 0.785–0.888)], higher CCI score [(OR 1.323,95% 1.185–1.477); (OR = 1.294, 95% CI 1.164–1.438)] and pressure ulcers presence [(OR 15.501, 95% CI 3.650–66.661); (OR 15.816; 95%CI 3.683–67.926)] were significant predictors of malnutrition diagnosed through AND/ASPEN and GLIM criteria respectively. Admission to the orthopedics unit indicated 91% lower risk of malnutrition on both tools respectively [(OR 0.090, 95% CI 0.008–0.968); (OR 0.090, 95% CI 0.008–0.962)]. CONCLUSIONS: The presence of pressure ulcers, higher CCI score and lower BMI were the significant predictors that were associated with malnutrition on all tools. AND/ASPEN and GLIM diagnostic tools predicted the same risk factors. FUNDING SOURCES: Lebanese American University. |
format | Online Article Text |
id | pubmed-9193705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91937052022-06-14 AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors El Chaar, Dayana El Khoury, Cosette Mattar, Lama Curr Dev Nutr Global Nutrition OBJECTIVES: Our aim is to determine whether different malnutrition diagnostic tools [European Society of Clinical Nutrition and Metabolism (ESPEN), Academy of Nutrition and Dietetics/American Society of Parenteral and Enteral Nutrition (AND/ASPEN) and the Global Leadership Initiative on Malnutrition (GLIM)] are associated with common malnutrition-related risk factors in a sample of newly admitted hospital patients. METHODS: This study is a prospective observational study. Newly admitted hospital patients were screened for nutritional risk. At-risk patients were then assessed for malnutrition using ESPEN, AND/ASPEN and GLIM criteria. Bivariate analyses were computed for all predictors and tested with the result of the nutritional assessment of each of the diagnostic tools. Similarly, a logistic regression was then conducted to determine the predictors associated with each malnutrition diagnostic criteria. RESULTS: 578 patients were screened for malnutrition, of which 121(20.93%) were nutritionally at risk and were subjected to nutritional assessment. The regression model suggested that the presence of pressure ulcers (OR 21.252, 95% CI 4.495–100.485), higher Charlson Comorbidiy Index (CCI) score (OR 1.321, 95% CI 1.098–1.591), lower Body Mass Index (BMI) (OR 0.478, 95% CI 0.389–0.588), and older age (OR 1.035, 95% CI 1.005–1.065) were significant predictors of malnutrition diagnosed on ESPEN criteria. While female gender [(OR 2.406, 95% CI 1.446–4.004); (OR 2.300; 95% CI 1.397–3.786)], lower BMI [(OR 0.842, 95% CI 0.792–0.895); (OR 0.835 95% CI 0.785–0.888)], higher CCI score [(OR 1.323,95% 1.185–1.477); (OR = 1.294, 95% CI 1.164–1.438)] and pressure ulcers presence [(OR 15.501, 95% CI 3.650–66.661); (OR 15.816; 95%CI 3.683–67.926)] were significant predictors of malnutrition diagnosed through AND/ASPEN and GLIM criteria respectively. Admission to the orthopedics unit indicated 91% lower risk of malnutrition on both tools respectively [(OR 0.090, 95% CI 0.008–0.968); (OR 0.090, 95% CI 0.008–0.962)]. CONCLUSIONS: The presence of pressure ulcers, higher CCI score and lower BMI were the significant predictors that were associated with malnutrition on all tools. AND/ASPEN and GLIM diagnostic tools predicted the same risk factors. FUNDING SOURCES: Lebanese American University. Oxford University Press 2022-06-14 /pmc/articles/PMC9193705/ http://dx.doi.org/10.1093/cdn/nzac060.021 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Global Nutrition El Chaar, Dayana El Khoury, Cosette Mattar, Lama AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors |
title | AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors |
title_full | AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors |
title_fullStr | AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors |
title_full_unstemmed | AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors |
title_short | AND/ASPEN and GLIM Malnutrition Diagnostic Tools Identify Similar Malnutrition-Related Risk Factors |
title_sort | and/aspen and glim malnutrition diagnostic tools identify similar malnutrition-related risk factors |
topic | Global Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193705/ http://dx.doi.org/10.1093/cdn/nzac060.021 |
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