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Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019
STUDY OBJECTIVE: We seek to describe the medical history and clinical findings of patients attending the emergency department (ED) with suspected coronavirus disease 2019 (COVID-19) and estimate the diagnostic accuracy of patients’ characteristics for predicting COVID-19. METHODS: We prospectively e...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
by the American College of Emergency Physicians.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241345/ https://www.ncbi.nlm.nih.gov/pubmed/32563600 http://dx.doi.org/10.1016/j.annemergmed.2020.05.022 |
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author | Peyrony, Olivier Marbeuf-Gueye, Carole Truong, Vy Giroud, Marion Rivière, Clémentine Khenissi, Khalil Legay, Léa Simonetta, Marie Elezi, Arben Principe, Alessandra Taboulet, Pierre Ogereau, Carl Tourdjman, Mathieu Ellouze, Sami Fontaine, Jean-Paul |
author_facet | Peyrony, Olivier Marbeuf-Gueye, Carole Truong, Vy Giroud, Marion Rivière, Clémentine Khenissi, Khalil Legay, Léa Simonetta, Marie Elezi, Arben Principe, Alessandra Taboulet, Pierre Ogereau, Carl Tourdjman, Mathieu Ellouze, Sami Fontaine, Jean-Paul |
author_sort | Peyrony, Olivier |
collection | PubMed |
description | STUDY OBJECTIVE: We seek to describe the medical history and clinical findings of patients attending the emergency department (ED) with suspected coronavirus disease 2019 (COVID-19) and estimate the diagnostic accuracy of patients’ characteristics for predicting COVID-19. METHODS: We prospectively enrolled all patients tested for severe acute respiratory syndrome coronavirus 2 by reverse-transcriptase polymerase chain reaction in our ED from March 9, 2020, to April 4, 2020. We abstracted medical history, physical examination findings, and the clinical probability of COVID-19 (low, moderate, and high) rated by emergency physicians, depending on their clinical judgment. We assessed diagnostic accuracy of these characteristics for COVID-19 by calculating positive and negative likelihood ratios. RESULTS: We included 391 patients, of whom 225 had positive test results for severe acute respiratory syndrome coronavirus 2. Reverse-transcriptase polymerase chain reaction result was more likely to be negative when the emergency physician thought that clinical probability was low, and more likely to be positive when he or she thought that it was high. Patient-reported anosmia and the presence of bilateral B lines on lung ultrasonography had the highest positive likelihood ratio for the diagnosis of COVID-19 (7.58, 95% confidence interval [CI] 2.36 to 24.36; and 7.09, 95% CI 2.77 to 18.12, respectively). The absence of a high clinical probability determined by the emergency physician and the absence of bilateral B lines on lung ultrasonography had the lowest negative likelihood ratio for the diagnosis of COVID-19 (0.33, 95% CI 0.25 to 0.43; and 0.26, 95% CI 0.15 to 0.45, respectively). CONCLUSION: Anosmia, emergency physician estimate of high clinical probability, and bilateral B lines on lung ultrasonography increased the likelihood of identifying COVID-19 in patients presenting to the ED. |
format | Online Article Text |
id | pubmed-7241345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | by the American College of Emergency Physicians. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72413452020-05-21 Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019 Peyrony, Olivier Marbeuf-Gueye, Carole Truong, Vy Giroud, Marion Rivière, Clémentine Khenissi, Khalil Legay, Léa Simonetta, Marie Elezi, Arben Principe, Alessandra Taboulet, Pierre Ogereau, Carl Tourdjman, Mathieu Ellouze, Sami Fontaine, Jean-Paul Ann Emerg Med Infectious Disease/Original Research STUDY OBJECTIVE: We seek to describe the medical history and clinical findings of patients attending the emergency department (ED) with suspected coronavirus disease 2019 (COVID-19) and estimate the diagnostic accuracy of patients’ characteristics for predicting COVID-19. METHODS: We prospectively enrolled all patients tested for severe acute respiratory syndrome coronavirus 2 by reverse-transcriptase polymerase chain reaction in our ED from March 9, 2020, to April 4, 2020. We abstracted medical history, physical examination findings, and the clinical probability of COVID-19 (low, moderate, and high) rated by emergency physicians, depending on their clinical judgment. We assessed diagnostic accuracy of these characteristics for COVID-19 by calculating positive and negative likelihood ratios. RESULTS: We included 391 patients, of whom 225 had positive test results for severe acute respiratory syndrome coronavirus 2. Reverse-transcriptase polymerase chain reaction result was more likely to be negative when the emergency physician thought that clinical probability was low, and more likely to be positive when he or she thought that it was high. Patient-reported anosmia and the presence of bilateral B lines on lung ultrasonography had the highest positive likelihood ratio for the diagnosis of COVID-19 (7.58, 95% confidence interval [CI] 2.36 to 24.36; and 7.09, 95% CI 2.77 to 18.12, respectively). The absence of a high clinical probability determined by the emergency physician and the absence of bilateral B lines on lung ultrasonography had the lowest negative likelihood ratio for the diagnosis of COVID-19 (0.33, 95% CI 0.25 to 0.43; and 0.26, 95% CI 0.15 to 0.45, respectively). CONCLUSION: Anosmia, emergency physician estimate of high clinical probability, and bilateral B lines on lung ultrasonography increased the likelihood of identifying COVID-19 in patients presenting to the ED. by the American College of Emergency Physicians. 2020-10 2020-05-21 /pmc/articles/PMC7241345/ /pubmed/32563600 http://dx.doi.org/10.1016/j.annemergmed.2020.05.022 Text en © 2020 by the American College of Emergency Physicians. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Infectious Disease/Original Research Peyrony, Olivier Marbeuf-Gueye, Carole Truong, Vy Giroud, Marion Rivière, Clémentine Khenissi, Khalil Legay, Léa Simonetta, Marie Elezi, Arben Principe, Alessandra Taboulet, Pierre Ogereau, Carl Tourdjman, Mathieu Ellouze, Sami Fontaine, Jean-Paul Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019 |
title | Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019 |
title_full | Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019 |
title_fullStr | Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019 |
title_full_unstemmed | Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019 |
title_short | Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019 |
title_sort | accuracy of emergency department clinical findings for diagnosis of coronavirus disease 2019 |
topic | Infectious Disease/Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241345/ https://www.ncbi.nlm.nih.gov/pubmed/32563600 http://dx.doi.org/10.1016/j.annemergmed.2020.05.022 |
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