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Should COVID-19 symptoms be used to cohort patients in the emergency department? A retrospective analysis.
Bijur, Polly E; Friedman, Benjamin W; Baron, Sarah W; Ramasahayam, Abhiram; Nerenberg, Rebecca; Sharpe, Shellyann; Goldstein, D Yitzchak; Esses, David.
Afiliação
  • Bijur PE; Albert Einstein College of Medicine, Department of Emergency Medicine, Rose F. Kennedy Center, 1410 Pelham Parkway South, Bronx, NY 10461, USA. Electronic address: polly.bijur@einsteinmed.edu.
  • Friedman BW; Montefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: befriedm@montefiore.org.
  • Baron SW; Montefiore Medical Center, Department of Medicine, Division of Hospital Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: sarbaron@montefiore.org.
  • Ramasahayam A; Montefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: aramasahay@montefiore.org.
  • Nerenberg R; Montefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: rnerenbe@montefiore.org.
  • Sharpe S; Jacobi Medical Center, 1400 Pelham Parkway South, Bronx, NY 10461, USA. Electronic address: shellyann.sharpe@nychhc.org.
  • Goldstein DY; Montefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: dogoldst@montefiore.org.
  • Esses D; Montefiore Medical Center, Department of Emergency Medicine, 111 East 210(th) Street, Bronx, NY 10467, USA. Electronic address: desses@montefiore.org.
Am J Emerg Med ; 54: 274-278, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35220142
OBJECTIVE: To determine how cohorting patients based on presenting complaints affects risk of nosocomial infection in crowded Emergency Departments (EDs) under conditions of high and low prevalence of COVID-19. METHODS: This was a retrospective analysis of presenting complaints and PCR tests collected during the COVID-19 epidemic from 4 EDs from a large hospital system in Bronx County, NY, from May 1, 2020 to April 30, 2021. Sensitivity, specificity, positive and negative predictive value (PPV, NPV) were calculated for a symptom screen based on the CDC list of COVID-19 symptoms: fever/chills, shortness of breath/dyspnea, cough, muscle or body ache, fatigue, headache, loss of taste or smell, sore throat, nasal congestion/runny nose, nausea, vomiting, and diarrhea. PPV was calculated for varying values of prevalence. RESULTS: There were 80,078 visits with PCR tests. The sensitivity of the symptom screen was 64.7% (95% CI: 63.6, 65.8), specificity 65.4% (65.1, 65.8). PPV was 16.8% (16.5, 17.0) and NPV was 94.5% (94.4, 94.7) when the observed prevalence of COVID-19 in the ED over the year was 9.7%. The PPV of fever/chills, cough, body and muscle aches and nasal congestion/runny nose were each approximately 25% across the year, while diarrhea, nausea, vomiting and headache were less predictive, (PPV 4.7%-9.6%) The combinations of fever/chills, cough, muscle/body aches, and shortness of breath had PPVs of 40-50%. The PPV of the screen varied from 3.7% (3.6, 3.8) at 2% prevalence of COVID-19 to 44.3% (44.0, 44.7) at 30% prevalence. CONCLUSION: The proportion of patients with a chief complaint of COVID-19 symptoms and confirmed COVID-19 infection was exceeded by the proportion without actual infection. This was true when prevalence in the ED was as high as 30%. Cohorting of patients based on the CDC's list of COVID-19 symptoms will expose many patients who do not have COVID-19 to risk of nosocomially acquired COVID-19. EDs should not use the CDC list of COVID-19 symptoms as the only strategy to minimize exposure.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article