Discharge in Pandemic: Suspected Covid-19 patients returning to the Emergency Department within 72 hours for admission

Am J Emerg Med. 2021 Jul:45:185-191. doi: 10.1016/j.ajem.2020.08.034. Epub 2020 Aug 18.

Abstract

Introduction: Coronavirus disease 2019 (Covid-19) has led to unprecedented healthcare demand. This study seeks to characterize Emergency Department (ED) discharges suspected of Covid-19 that are admitted within 72 h.

Methods: We abstracted all adult discharges with suspected Covid-19 from five New York City EDs between March 2nd and April 15th. Those admitted within 72 h were then compared against those who were not using descriptive and regression analysis of background and clinical characteristics.

Results: Discharged ED patients returning within 72 h were more often admitted if suspected of Covid-19 (32.9% vs 12.1%, p < .0001). Of 7433 suspected Covid-19 discharges, the 139 (1.9%) admitted within 72 h were older (55.4 vs. 45.6 years, OR 1.03) and more often male (1.32) or with a history of obstructive lung disease (2.77) or diabetes (1.58) than those who were not admitted (p < .05). Additional associations included non-English preference, cancer, heart failure, hypertension, renal disease, ambulance arrival, higher triage acuity, longer ED stay or time from symptom onset, fever, tachycardia, dyspnea, gastrointestinal symptoms, x-ray abnormalities, and decreased platelets and lymphocytes (p < .05 for all). On 72-h return, 91 (65.5%) subjects required oxygen, and 7 (5.0%) required mechanical ventilation in the ED. Twenty-two (15.8%) of the study group have since died.

Conclusion: Several factors emerge as associated with 72-h ED return admission in subjects suspected of Covid-19. These should be considered when assessing discharge risk in clinical practice.

Keywords: Clinical decision-making; Coronavirus; Disaster medicine; Emergency medicine; Pandemics; Patient discharge.

Publication types

  • Multicenter Study

MeSH terms

  • COVID-19 / epidemiology*
  • COVID-19 / therapy
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • New York City / epidemiology
  • Pandemics*
  • Patient Discharge / statistics & numerical data*
  • Respiration, Artificial / methods
  • Retrospective Studies
  • Risk Assessment / methods*
  • SARS-CoV-2