Epidemiology and clinical features of emergency department patients with suspected COVID-19: Insights from Australia's 'second wave' (COVED-4)
EMERGENCY MEDICINE AUSTRALASIA(2021)
Abstract
Objective The aim of the present study was to describe the epidemiology and clinical features of patients presenting to the ED with suspected and confirmed COVID-19 during Australia's 'second wave'. Methods The COVID-19 ED (COVED) Project is an ongoing prospective cohort study in Australian EDs. This analysis presents data from 12 sites across four Australian states for the period from 1 July to 31 August 2020. All adult patients who met the criteria for 'suspected COVID-19' and underwent testing for SARS-CoV-2 in the ED were eligible for inclusion. Study outcomes included a positive SARS-CoV-2 test result, mechanical ventilation and in-hospital mortality. Results There were 106 136 presentations to the participating EDs and 12 055 (11.4%; 95% confidence interval [CI] 11.2-11.6) underwent testing for SARS-CoV-2. Of these, 255 (2%) patients returned a positive result. Among positive cases, 13 (5%) received mechanical ventilation during their hospital admission compared to 122 (2%) of the SARS-CoV-2 negative patients (odds ratio 2.7; 95% CI 1.5-4.9, P = 0.001). Nineteen (7%) SARS-CoV-2 positive patients died in hospital compared to 212 (3%) of the SARS-CoV-2 negative patients (odds ratio 2.3; 95% CI 1.4-3.7, P = 0.001). Strong clinical predictors of the SARS-CoV-2 test result included self-reported fever, sore throat, bilateral infiltrates on chest X-ray, and absence of a leucocytosis on first ED blood tests (P < 0.05). Conclusions In this prospective multi-site study during Australia's 'second wave', a substantial proportion of ED presentations required SARS-CoV-2 testing and isolation. Presence of SARS-CoV-2 on nasopharyngeal swab was associated with an increase in the odds of death and mechanical ventilation in hospital.
MoreTranslated text
Key words
COVID-19,emergency,isolation,quality improvement,registry
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined