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Patient factors associated with SARS-CoV-2 in an admitted emergency department population.
Haimovich, Adrian D; Warner, Frederick; Young, H Patrick; Ravindra, Neal G; Sehanobish, Arijit; Gong, Guannan; Wilson, Francis Perry; van Dijk, David; Schulz, Wade; Taylor, Richard Andrew.
  • Haimovich AD; Department of Emergency Medicine Yale University School of Medicine New Haven Connecticut USA.
  • Warner F; Center for Outcomes Research and Evaluation Yale New Haven Hospital New Haven Connecticut USA.
  • Young HP; Center for Outcomes Research and Evaluation Yale New Haven Hospital New Haven Connecticut USA.
  • Ravindra NG; Department of Internal Medicine Yale University School of Medicine New Haven Connecticut USA.
  • Sehanobish A; Department of Internal Medicine Section of Cardiovascular Medicine Yale University School of Medicine New Haven Connecticut USA.
  • Gong G; Department of Computer Science Yale University New Haven Connecticut USA.
  • Wilson FP; Department of Internal Medicine Section of Cardiovascular Medicine Yale University School of Medicine New Haven Connecticut USA.
  • van Dijk D; Department of Computer Science Yale University New Haven Connecticut USA.
  • Schulz W; Interdepartmental Program in Computational Biology and Bioinformatics Yale University New Haven Connecticut USA.
  • Taylor RA; Clinical and Translational Research Accelerator Department of Medicine Yale University School of Medicine New Haven Connecticut USA.
J Am Coll Emerg Physicians Open ; 1(4): 569-577, 2020 Aug.
Artículo en Inglés | MEDLINE | ID: covidwho-1898677
ABSTRACT

Background:

The SARS-CoV-2 (COVID-19) virus has wide community spread. The aim of this study was to describe patient characteristics and to identify factors associated with COVID-19 among emergency department (ED) patients under investigation for COVID-19 who were admitted to the hospital.

Methods:

This was a retrospective observational study from 8 EDs within a 9-hospital health system. Patients with COVID-19 testing around the time of hospital admission were included. The primary outcome measure was COVID-19 test result. Patient characteristics were described and a multivariable logistic regression model was used to identify factors associated with a positive COVID-19 test.

Results:

During the study period from March 1, 2020 to April 8, 2020, 2182 admitted patients had a test resulted for COVID-19. Of these patients, 786 (36%) had a positive test result. For COVID-19-positive patients, 63 (8.1%) died during hospitalization. COVID-19-positive patients had lower pulse oximetry (0.91 [95% confidence interval, CI], [0.88-0.94]), higher temperatures (1.36 [1.26-1.47]), and lower leukocyte counts than negative patients (0.78 [0.75-0.82]). Chronic lung disease (odds ratio [OR] 0.68, [0.52-0.90]) and histories of alcohol (0.64 [0.42-0.99]) or substance abuse (0.39 [0.25-0.62]) were less likely to be associated with a positive COVID-19 result.

Conclusion:

We observed a high percentage of positive results among an admitted ED cohort under investigation for COVID-19. Patient factors may be useful in early differentiation of patients with COVID-19 from similarly presenting respiratory illnesses although no single factor will serve this purpose.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio de cohorte / Estudio observacional / Estudio pronóstico Idioma: Inglés Revista: J Am Coll Emerg Physicians Open Año: 2020 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio de cohorte / Estudio observacional / Estudio pronóstico Idioma: Inglés Revista: J Am Coll Emerg Physicians Open Año: 2020 Tipo del documento: Artículo