Hospital Mortality and Resource Implications of Hospitalisation with COVID-19 in London, UK: A Prospective Cohort

Savvas Vlachos1, Adrian Wong1, Victoria Metaxa1

  • 1Department of Critical Care Medicine, King's College Hospital NHS Foundation Trust, Denmark Hill, SE5 9RS, London, UK.

Insights

This study found that increasing age, male sex, chronic kidney disease, high C-reactive protein, and dyspnea were linked to higher COVID-19 hospital mortality. The pandemic significantly strained critical care services, necessitating major reorganizations.

Area of Science:

  • Critical Care Medicine
  • Infectious Diseases
  • Public Health

Background:

  • The COVID-19 pandemic severely impacted the UK's National Health Service, with London reporting over 35,000 cases by July 2020.
  • Limited hospital-level data on patient characteristics, outcomes, and service strain hindered effective clinical decision-making and resource planning.

Purpose of the Study:

  • To identify factors associated with hospital mortality in COVID-19 patients.
  • To describe the strain on hospital and intensive care unit (ICU) services during the pandemic.

Main Methods:

  • A prospective cohort study was conducted at a London tertiary academic center.
  • Included adult patients with laboratory-confirmed COVID-19, followed for 30 days or until discharge.
  • Semiparametric and parametric survival analyses identified factors linked to hospital mortality.

Main Results:

  • The study analyzed 429 patients; 26% experienced hospital mortality and 34% ICU mortality.
  • Independent predictors of hospital mortality included older age, male sex, chronic kidney disease, elevated C-reactive protein, and dyspnea.
  • COVID-19 caused significant ICU and hospital strain, requiring ICU bed expansion from 69 to 129 and extensive service reorganization.

Conclusions:

  • COVID-19 presents a high mortality burden for both ward and ICU patients.
  • The pandemic necessitated substantial critical care service reconfiguration, highlighting implications for future planning and resource allocation.
Abstract