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Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
. 2020 Oct 29;76(4):S146. doi: 10.1016/j.annemergmed.2020.09.395

379 Accuracy of an Emergency Department Clinical Protocol for Early Identification of Coronavirus Infection

W Bonadio 1, W Bonadio 1, K Jackson 1, L Gottlieb 1
PMCID: PMC7598549

Study Objective

We assessed the efficacy of an emergency department [ED] protocol to cohort admitted ED patients utilizing clinical parameters. These parameters were used to distinguish likelihood of novel coronavirus disease 2019 [COVID-19] in patients presenting with acute respiratory symptoms prior to testing results.

Methods

An prospective ongoing chart review was performed during April of the 2020 pandemic in a several busy urban ED on admitted, but boarding, ED patients who presented with acute respiratory symptoms clinically suspicious for COVID-19 infection. Each patient’s chart was reviewed for an assessment of five clinical parameters in patients who were felt by the attending physician to have COVID-19: presence of fever, cough, hypoxia, and shortness of breath; and chest radiograph evaluating for bilateral pulmonary infiltrates. Chart reviews were performed prior to result of COVID-19 testing. All received performance of NP COVID-19 PCR testing.

Results

Of 225 patients studied, 190 [84%] were PCR+ and 35 [16%] PCR-. The manifestation of all 5 positive clinical parameters was present in 136 patients [61%]. The rate of manifesting all 5 positive clinical parameters was significantly greater in PCR+ [70%] vs PCR- [9%] patients [p < 0.0001]. For PCR+ outcome, the presence of all 5 positive clinical parameters had a specificity of 92%, positive-predictive value of 97%, and positive likelihood ratio of 8.1.

Conclusions

Utilizing an ED protocol assessing 5 clinical parameters in patients suspected of COVID-19 infection accurately distinguishes risk of infection with COVID-19 prior to PCR test results and can be used to guide early patient management decisions.


Articles from Annals of Emergency Medicine are provided here courtesy of Elsevier

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