Idioma:

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

Annals of emergency medicine, 2020-10, Vol.76 (4), p.405-412 [Periódico revisado por pares]

United States: Elsevier Inc

Texto completo disponível

Citações Citado por

Enviar para

Título:
Accuracy of Emergency Department Clinical Findings for Diagnosis of Coronavirus Disease 2019
Autor: 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
Assuntos: Adult ; Aged ; Betacoronavirus ; Clinical Laboratory Techniques ; Coronavirus Infections - complications ; Coronavirus Infections - diagnosis ; Coronavirus Infections - epidemiology ; COVID-19 ; COVID-19 Testing ; Emergency Service, Hospital - standards ; Female ; France ; Humans ; Infectious Disease/Original Research ; Lung - diagnostic imaging ; Male ; Medical History Taking ; Middle Aged ; Olfaction Disorders - virology ; Pandemics ; Physical Examination ; Pneumonia, Viral - complications ; Pneumonia, Viral - diagnosis ; Pneumonia, Viral - epidemiology ; Probability ; Prospective Studies ; Radiography ; Reverse Transcriptase Polymerase Chain Reaction ; SARS-CoV-2 ; Ultrasonography
É parte de: Annals of emergency medicine, 2020-10, Vol.76 (4), p.405-412
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
Descrição: 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. 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. 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). 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.
Editor: United States: Elsevier Inc
Idioma: Inglês

Links

View this record in MEDLINE/PubMed

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

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

United States: Elsevier Inc

Buscando em bases de dados remotas. Favor aguardar.