Baseline clinical features of COVID-19 patients, delay of hospital admission and clinical outcome: A complex relationship

PLoS One. 2022 Jan 7;17(1):e0261428. doi: 10.1371/journal.pone.0261428. eCollection 2022.

Abstract

Introduction: 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<0.01), had higher body mass index (p<0.01), and were more frequently admitted to intensive care unit (p<0.01). Their plasma levels of C-reactive protein were also significantly higher (p<0.01). The crude in-hospital fatality rate was lower in this group (13.3% versus 27.6%), p<0.01. Multiple analysis with correction for multiple testing showed that age ≥75 years was associated with a short delay between symptom onset and hospital admission (≤5 days) (aOR: 0.47 95% CI (0.34-0.66)) and CRP>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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • COVID-19 / epidemiology
  • COVID-19 / metabolism*
  • Cohort Studies
  • Female
  • France / epidemiology
  • Hospitalization / trends*
  • Hospitals
  • Humans
  • Intensive Care Units
  • Male
  • Middle Aged
  • Prognosis
  • Prospective Studies
  • Risk Factors
  • SARS-CoV-2 / metabolism
  • SARS-CoV-2 / pathogenicity
  • Time-to-Treatment / trends*

Grants and funding

PV received partial funding by REACTing (Research and ACTion targeting emerging infectious diseases), Institut national de la santé et de la recherche médicale (INSERM), France and Fondation AnBer (http://fondationanber.fr), France. The study funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no other additional external funding received for this study.