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Factors associated with admission to intensive care units in COVID-19 patients in Lyon-France.

Authors :
Philippe Vanhems
Marie-Paule Gustin
Christelle Elias
Laetitia Henaff
Cédric Dananché
Béatrice Grisi
Elodie Marion
Nagham Khanafer
Delphine Hilliquin
Sophie Gardes
Solweig Gerbier-Colomban
Selilah Amour
Elisabetta Kuczewski
Vanessa Escuret
Bruno Lina
Mitra Saadatian-Elahi
COVID-Outcomes-HCL Consortium
Source :
PLoS ONE, Vol 16, Iss 1, p e0243709 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

IntroductionA new respiratory virus, SARS-CoV-2, has emerged and spread worldwide since late 2019. This study aims at analysing clinical presentation on admission and the determinants associated with admission in intensive care units (ICUs) in hospitalized COVID-19 patients.Patients and methodsIn this prospective hospital-based study, socio-demographic, clinical and biological characteristics, on admission, of adult COVID-19 hospitalized patients presenting from the community for their first admission were prospectively collected and analysed. Characteristics of patients hospitalized in medical ward to those admitted in ICU were compared using Mann-Whitney and Chi-square or Fisher exact test when appropriate. Univariate logistic regression was first used to identify variables on admission that were associated with the outcome i.e. admission to an ICU versus total hospital stay in a medical ward. Forward selection was then applied beginning with sex, age and temperature in the multivariable logistic regression model.ResultsOf the 412 patients included, 325 were discharged and 87 died in hospital. Multivariable regression showed increasing odds of ICU hospitalization with temperature (OR, 1.56 [95% CI, 1.06-2.28] per degree Celsius increase), oxygen saturation 100mg/L vs CRPConclusionsAge and delay between onset of symptoms and hospital admission were associated with the risk of hospitalisation in ICU. Age being a fixed variable, interventions that shorten this delay would improve the prognosis of Covid-19 patients.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.799175a172484386b4f10fa4220049ce
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0243709