Open AccessBaseline clinical features of COVID-19 patients, delay of hospital admission and clinical outcome: A complex relationship
Author(s) -
Cédric Dananché,
Christelle Elias,
Laetitia Hénaff,
S. Amour,
Elisabetta Kuczewski,
Marie-Paule Gustin,
Vanessa Escuret,
Mitra SaadatianElahi,
Philippe Vanhems
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0261428
Subject(s) - medicine , hospital admission , case fatality rate , logistic regression , intensive care unit , pediatrics , univariate analysis , body mass index , cohort , prospective cohort study , cohort study , emergency medicine , multivariate analysis , epidemiology
Delay between symptom onset and access to care is essential to prevent clinical worsening for different infectious diseases. For COVID-19, this delay might be associated with the clinical prognosis, but also with the different characteristics of patients. The objective was to describe characteristics and symptoms of community-acquired (CA) COVID-19 patients at hospital admission according to the delay between symptom onset and hospital admission, and to identify determinants associated with delay of admission. Methods The present work was based on prospective NOSO-COR cohort data, and restricted to patients with laboratory confirmed CA SARS-CoV-2 infection admitted to Lyon hospitals between February 8 and June 30, 2020. Long delay of hospital admission was defined as ≥6 days between symptom onset and hospital admission. Determinants of the delay between symptom onset and hospital admission were identified by univariate and multiple logistic regression analysis. Results Data from 827 patients were analysed. Patients with a long delay between symptom onset and hospital admission were younger (p 100 mg/L at admission was associated with a long delay (aOR: 1.84 95% CI (1.32–2.55)). Discussion Delay between symptom onset and hospital admission is a major issue regarding prognosis of COVID-19 but can be related to multiple factors such as individual characteristics, organization of care and severe pathogenic processes. Age seems to play a key role in the delay of access to care and the disease prognosis.