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The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam

INTRODUCTION: As sufficient nutrition helps alleviate catabolic stress and modulate the systemic inflammatory response of the body, it plays an indispensable role in the good prognosis of critically ill patients. Thus, this study aimed to investigate the malnutrition of patients with severe COVID-19...

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Autores principales: Nguyen, Lan Huong Thi, Dang, Anh Kim, Tran, Tien Viet, Phan, Hai Thanh, Doan, Dao Anh Thi, Nguyen, Lien Bao Thi, Tran, Anh Minh, Do, Tung Dinh, Nguyen, Thang Ba, Nguyen, Tien Thanh, Nguyen, Binh Huy, Le, Huong Thi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585166/
https://www.ncbi.nlm.nih.gov/pubmed/37867496
http://dx.doi.org/10.3389/fnut.2023.1245816
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author Nguyen, Lan Huong Thi
Dang, Anh Kim
Tran, Tien Viet
Phan, Hai Thanh
Doan, Dao Anh Thi
Nguyen, Lien Bao Thi
Tran, Anh Minh
Do, Tung Dinh
Nguyen, Thang Ba
Nguyen, Tien Thanh
Nguyen, Binh Huy
Le, Huong Thi
author_facet Nguyen, Lan Huong Thi
Dang, Anh Kim
Tran, Tien Viet
Phan, Hai Thanh
Doan, Dao Anh Thi
Nguyen, Lien Bao Thi
Tran, Anh Minh
Do, Tung Dinh
Nguyen, Thang Ba
Nguyen, Tien Thanh
Nguyen, Binh Huy
Le, Huong Thi
author_sort Nguyen, Lan Huong Thi
collection PubMed
description INTRODUCTION: As sufficient nutrition helps alleviate catabolic stress and modulate the systemic inflammatory response of the body, it plays an indispensable role in the good prognosis of critically ill patients. Thus, this study aimed to investigate the malnutrition of patients with severe COVID-19 and its association with adverse treatment outcomes. METHODS: We conducted a retrospective cross-sectional study in two provincial hospitals in Hanoi from February to April 2022. Participants were patients with severe COVID-19 admitted to the Intensive Care Unit (ICU). Malnutrition risk were evaluated by Nutritional Risk Screening-2002 (NRS), Global Leadership Initiative on Malnutrition (GLIM), Prognostic Nutritional Index (PNI), and the adverse prognosis was assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II). The multivariate receiver-operating characteristic (ROC) curve was applied to estimate the predictive ability of those criteria regarding worse treatment results. RESULTS: The percentages of malnutrition measured by NRS, GLIM, PNI, and BMI were 62.6, 51.5, 42.9, and 16.6%, respectively. Patients with more severe malnutrition assessed by GLIM, PNI, and having above target fasting blood glucose (FBG) (≥10.0 mmol/L) were more likely to have higher APACHE scores. PNI had a better diagnostic performance than NRS and BMI (AUC = 0.84, 0.81, and 0.82, respectively). In addition, FBG revealed a good prognostic implication (AUC = 0.84). CONCLUSION: A relatively high percentage of patients experienced moderate and severe malnutrition regardless of screening tools. Individuals at higher risk of malnutrition and high FBG were predicted to have more adverse treatment outcomes. It is recommended that nutritional screening should be conducted regularly, and personalizing nutritional care strategies is necessary to meet patients’ nutrient demands and prevent other nutrition-related complications.
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spelling pubmed-105851662023-10-20 The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam Nguyen, Lan Huong Thi Dang, Anh Kim Tran, Tien Viet Phan, Hai Thanh Doan, Dao Anh Thi Nguyen, Lien Bao Thi Tran, Anh Minh Do, Tung Dinh Nguyen, Thang Ba Nguyen, Tien Thanh Nguyen, Binh Huy Le, Huong Thi Front Nutr Nutrition INTRODUCTION: As sufficient nutrition helps alleviate catabolic stress and modulate the systemic inflammatory response of the body, it plays an indispensable role in the good prognosis of critically ill patients. Thus, this study aimed to investigate the malnutrition of patients with severe COVID-19 and its association with adverse treatment outcomes. METHODS: We conducted a retrospective cross-sectional study in two provincial hospitals in Hanoi from February to April 2022. Participants were patients with severe COVID-19 admitted to the Intensive Care Unit (ICU). Malnutrition risk were evaluated by Nutritional Risk Screening-2002 (NRS), Global Leadership Initiative on Malnutrition (GLIM), Prognostic Nutritional Index (PNI), and the adverse prognosis was assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II). The multivariate receiver-operating characteristic (ROC) curve was applied to estimate the predictive ability of those criteria regarding worse treatment results. RESULTS: The percentages of malnutrition measured by NRS, GLIM, PNI, and BMI were 62.6, 51.5, 42.9, and 16.6%, respectively. Patients with more severe malnutrition assessed by GLIM, PNI, and having above target fasting blood glucose (FBG) (≥10.0 mmol/L) were more likely to have higher APACHE scores. PNI had a better diagnostic performance than NRS and BMI (AUC = 0.84, 0.81, and 0.82, respectively). In addition, FBG revealed a good prognostic implication (AUC = 0.84). CONCLUSION: A relatively high percentage of patients experienced moderate and severe malnutrition regardless of screening tools. Individuals at higher risk of malnutrition and high FBG were predicted to have more adverse treatment outcomes. It is recommended that nutritional screening should be conducted regularly, and personalizing nutritional care strategies is necessary to meet patients’ nutrient demands and prevent other nutrition-related complications. Frontiers Media S.A. 2023-10-05 /pmc/articles/PMC10585166/ /pubmed/37867496 http://dx.doi.org/10.3389/fnut.2023.1245816 Text en Copyright © 2023 Nguyen, Dang, Tran, Phan, Doan, Nguyen, Tran, Do, Nguyen, Nguyen, Nguyen and Le. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Nguyen, Lan Huong Thi
Dang, Anh Kim
Tran, Tien Viet
Phan, Hai Thanh
Doan, Dao Anh Thi
Nguyen, Lien Bao Thi
Tran, Anh Minh
Do, Tung Dinh
Nguyen, Thang Ba
Nguyen, Tien Thanh
Nguyen, Binh Huy
Le, Huong Thi
The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam
title The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam
title_full The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam
title_fullStr The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam
title_full_unstemmed The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam
title_short The role of nutritional risk evaluation in predicting adverse outcomes among patients with severe COVID-19 in Vietnam
title_sort role of nutritional risk evaluation in predicting adverse outcomes among patients with severe covid-19 in vietnam
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585166/
https://www.ncbi.nlm.nih.gov/pubmed/37867496
http://dx.doi.org/10.3389/fnut.2023.1245816
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