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Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study

Recent European Society of Parenteral and Enteral Nutrition guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hosp...

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Autores principales: Rouget, Antoine, Vardon-Bounes, Fanny, Lorber, Pierre, Vavasseur, Adrien, Marion, Olivier, Marcheix, Bertrand, Lairez, Olivier, Balardy, Laurent, Fourcade, Olivier, Conil, Jean-Marie, Minville, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7853739/
https://www.ncbi.nlm.nih.gov/pubmed/33342449
http://dx.doi.org/10.1017/S0007114520005127
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author Rouget, Antoine
Vardon-Bounes, Fanny
Lorber, Pierre
Vavasseur, Adrien
Marion, Olivier
Marcheix, Bertrand
Lairez, Olivier
Balardy, Laurent
Fourcade, Olivier
Conil, Jean-Marie
Minville, Vincent
author_facet Rouget, Antoine
Vardon-Bounes, Fanny
Lorber, Pierre
Vavasseur, Adrien
Marion, Olivier
Marcheix, Bertrand
Lairez, Olivier
Balardy, Laurent
Fourcade, Olivier
Conil, Jean-Marie
Minville, Vincent
author_sort Rouget, Antoine
collection PubMed
description Recent European Society of Parenteral and Enteral Nutrition guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hospitalised for COVID-19. In a prospective observational cohort study malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) two-step approach. Patients were divided into two groups according to the diagnosis of malnutrition. Covariate selection for the multivariate analysis was based on P <0·2 in univariate analysis, with a logistic regression model and a backward elimination procedure. A partitioning of the population was realised. Eighty patients were prospectively enrolled. Thirty patients (37·5 %) had criteria for malnutrition. The need for intensive care unit admission (n 46, 57·5 %) was similar in the two groups. Three patients who died (3·75 %) were malnourished. Multivariate analysis exhibited that low BMI (OR 0·83, 95 % CI 0·73, 0·96, P = 0·0083), dyslipidaemia (OR 29·45, 95 % CI 3·12, 277·73, P = 0·0031), oral intake reduction <50 % (OR 3·169, 95 % CI 1·04, 9·64, P = 0·0422) and glomerular filtration rate (Chronic Kidney Disease Epidemiology Collaboration; CKD-EPI) at admission (OR 0·979, 95 % CI 0·96, 0·998, P = 0·0297) were associated with the occurrence of malnutrition. We demonstrate the existence of a high prevalence of malnutrition in a general cohort of COVID-19 inpatients according to GLIM criteria. Nutritional support in COVID-19 care seems an essential element.
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spelling pubmed-78537392021-02-03 Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study Rouget, Antoine Vardon-Bounes, Fanny Lorber, Pierre Vavasseur, Adrien Marion, Olivier Marcheix, Bertrand Lairez, Olivier Balardy, Laurent Fourcade, Olivier Conil, Jean-Marie Minville, Vincent Br J Nutr Full Papers Recent European Society of Parenteral and Enteral Nutrition guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hospitalised for COVID-19. In a prospective observational cohort study malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) two-step approach. Patients were divided into two groups according to the diagnosis of malnutrition. Covariate selection for the multivariate analysis was based on P <0·2 in univariate analysis, with a logistic regression model and a backward elimination procedure. A partitioning of the population was realised. Eighty patients were prospectively enrolled. Thirty patients (37·5 %) had criteria for malnutrition. The need for intensive care unit admission (n 46, 57·5 %) was similar in the two groups. Three patients who died (3·75 %) were malnourished. Multivariate analysis exhibited that low BMI (OR 0·83, 95 % CI 0·73, 0·96, P = 0·0083), dyslipidaemia (OR 29·45, 95 % CI 3·12, 277·73, P = 0·0031), oral intake reduction <50 % (OR 3·169, 95 % CI 1·04, 9·64, P = 0·0422) and glomerular filtration rate (Chronic Kidney Disease Epidemiology Collaboration; CKD-EPI) at admission (OR 0·979, 95 % CI 0·96, 0·998, P = 0·0297) were associated with the occurrence of malnutrition. We demonstrate the existence of a high prevalence of malnutrition in a general cohort of COVID-19 inpatients according to GLIM criteria. Nutritional support in COVID-19 care seems an essential element. Cambridge University Press 2020-12-21 /pmc/articles/PMC7853739/ /pubmed/33342449 http://dx.doi.org/10.1017/S0007114520005127 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited
spellingShingle Full Papers
Rouget, Antoine
Vardon-Bounes, Fanny
Lorber, Pierre
Vavasseur, Adrien
Marion, Olivier
Marcheix, Bertrand
Lairez, Olivier
Balardy, Laurent
Fourcade, Olivier
Conil, Jean-Marie
Minville, Vincent
Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study
title Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study
title_full Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study
title_fullStr Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study
title_full_unstemmed Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study
title_short Prevalence of malnutrition in coronavirus disease 19: the NUTRICOV study
title_sort prevalence of malnutrition in coronavirus disease 19: the nutricov study
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7853739/
https://www.ncbi.nlm.nih.gov/pubmed/33342449
http://dx.doi.org/10.1017/S0007114520005127
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