The influence of coronavirus disease 2019 on emergency department visits in Nanjing, China: A multicentre cross-sectional study

Am J Emerg Med. 2020 Oct;38(10):2101-2109. doi: 10.1016/j.ajem.2020.07.086. Epub 2020 Aug 9.

Abstract

Introduction: Influenza has been linked to the crowding in emergency departments (ED) across the world. The impact of the Coronavirus Disease 2019 (COVID-19) pandemic on China EDs has been quite different from those during past influenza outbreaks. Our objective was to determine if COVID-19 changed ED visit disease severity during the pandemic.

Methods: This was a retrospective cross sectional study conducted in Nanjing, China. We captured ED visit data from 28 hospitals. We then compared visit numbers from October 2019 to February 2020 for a month-to-month analysis and every February from 2017 to 2020 for a year-to-year analysis. Inter-group chi-square test and time series trend tests were performed to compare visit numbers. The primary outcome was the proportion of severe disease visits in the EDs.

Results: Through February 29 th 2020, there were 93 laboratory-confirmed COVID-19 patients in Nanjing, of which 40 cases (43.01%) were first seen in the ED. The total number of ED visits in Nanjing in February 2020, were dramatically decreased (n = 99,949) in compared to January 2020 (n = 313,125) and February 2019 (n = 262,503). Except for poisoning, the severe diseases in EDs all decreased in absolute number, but increased in proportion both in year-to-year and month-to-month analyses. This increase in proportional ED disease severity was greater in higher-level referral hospitals when compared year by year.

Conclusion: The COVID-19 outbreak has been associated with decreases in ED visits in Nanjing, China, but increases in the proportion of severe ED visits.

Keywords: Coronavirus; Covid-19; ED visit volume; Emergency medicine; Pandemic.

Publication types

  • Multicenter Study

MeSH terms

  • COVID-19 / epidemiology*
  • China / epidemiology
  • Critical Illness / epidemiology
  • Cross-Sectional Studies
  • Emergency Service, Hospital / statistics & numerical data*
  • Humans
  • Pandemics
  • Retrospective Studies
  • SARS-CoV-2
  • Severity of Illness Index*