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Characteristics of Suspected COVID-19 Discharged Emergency Department Patients Who Returned During the First Wave.
Gong, Jonathan; Mayorga, Rene; Hentz, Roland; Lesser, Martin; Demissie, Seleshi; Davis, Frederick; Berman, Adam; Barish, Matthew; Cohen, Stuart L; van Loveren, Kate L; Kwon, Nancy S.
  • Gong J; Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.
  • Mayorga R; Northwell Health, Emergency Medicine Service Line, New Hyde Park, New York.
  • Hentz R; Feinstein Institute for Medical Research, Biostatistics Unit, Great Neck, New York.
  • Lesser M; Feinstein Institute for Medical Research, Biostatistics Unit, Great Neck, New York.
  • Demissie S; Zucker School of Medicine at Hofstra/Northwell, Department of Molecular Medicine & Department of Population Health, Hempstead, New York.
  • Davis F; Feinstein Institute for Medical Research, Biostatistics Unit, Great Neck, New York.
  • Berman A; Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.
  • Barish M; Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.
  • Cohen SL; Donald & Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Department of Radiology, Hempstead, New York.
  • van Loveren KL; Donald & Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Department of Radiology, Hempstead, New York.
  • Kwon NS; Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.
West J Emerg Med ; 24(3): 405-415, 2023 Apr 03.
Artículo en Inglés | MEDLINE | ID: covidwho-2323312
ABSTRACT

INTRODUCTION:

Limited information exists on patients with suspected coronavirus disease 2019 (COVID-19) who return to the emergency department (ED) during the first wave. In this study we aimed to identify predictors of ED return within 72 hours for patients with suspected COVID-19.

METHODS:

Incorporating data from 14 EDs within an integrated healthcare network in the New York metropolitan region from March 2-April 27, 2020, we analyzed this data on predictors for a return ED visit-including demographics, comorbidities, vital signs, and laboratory results.

RESULTS:

In total, 18,599 patients were included in the study. The median age was 46 years old [interquartile range 34-58]), 50.74% were female, and 49.26% were male. Overall, 532 (2.86%) returned to the ED within 72 hours, and 95.49% were admitted at the return visit. Of those tested for COVID-19, 59.24% (4704/7941) tested positive. Patients with chief complaints of "fever" or "flu" or a history of diabetes or renal disease were more likely to return at 72 hours. Risk of return increased with persistently abnormal temperature (odds ratio [OR] 2.43, 95% CI 1.8-3.2), respiratory rate (2.17, 95% CI 1.6-3.0), and chest radiograph (OR 2.54, 95% CI 2.0-3.2). Abnormally high neutrophil counts, low platelet counts, high bicarbonate values, and high aspartate aminotransferase levels were associated with a higher rate of return. Risk of return decreased when discharged on antibiotics (OR 0.12, 95% CI 0.0-0.3) or corticosteroids (OR 0.12, 95% CI 0.0-0.9).

CONCLUSION:

The low overall return rate of patients during the first COVID-19 wave indicates that physicians' clinical decision-making successfully identified those acceptable for discharge.
Asunto(s)

Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Alta del Paciente / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Límite: Femenino / Humanos / Masculino / Middle aged Idioma: Inglés Revista: West J Emerg Med Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Alta del Paciente / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Límite: Femenino / Humanos / Masculino / Middle aged Idioma: Inglés Revista: West J Emerg Med Año: 2023 Tipo del documento: Artículo