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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Bibliographic Details
Published in:British Journal of Nutrition 2021-11, Vol.126 (9), p.1296-1303
Main Authors: Rouget, Antoine, Vardon-Bounes, Fanny, Lorber, Pierre, Vavasseur, Adrien, Marion, Olivier, Marcheix, Bertrand, Lairez, Olivier, Balardy, Laurent, Fourcade, Olivier, Conil, Jean-Marie, Minville, Vincent
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Body mass index
Coronaviruses
COVID-19
COVID-19 - complications
Criteria
Diagnosis
Disease transmission
Dyslipidemia
Enteral nutrition
Epidemiology
Female
Food
Glomerular filtration rate
Hospitals
Human and Clinical Nutrition
Humans
Inpatients - statistics & numerical data
Intensive care
Kidney diseases
Leadership
Logistic Models
Male
Malnutrition
Malnutrition - epidemiology
Malnutrition - virology
Medical imaging
Middle Aged
Mortality
Multivariate analysis
Nutrition
Nutrition Assessment
Observational studies
Parenteral nutrition
Patients
Pneumonia
Population
Prevalence
Prospective Studies
Pulmonology
Regression models
SARS-CoV-2
Severe acute respiratory syndrome
Viral diseases
Young Adult
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Summary: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
ISSN:0007-1145
1475-2662
DOI:10.1017/S0007114520005127