Characteristics of Suspected COVID-19 Discharged Emergency Department Patients Who Returned During the First Wave.


Journal

The western journal of emergency medicine
ISSN: 1936-9018
Titre abrégé: West J Emerg Med
Pays: United States
ID NLM: 101476450

Informations de publication

Date de publication:
03 Apr 2023
Historique:
received: 31 08 2023
accepted: 24 01 2023
medline: 8 6 2023
pubmed: 6 6 2023
entrez: 6 6 2023
Statut: epublish

Résumé

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. 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. 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). 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.

Identifiants

pubmed: 37278789
pii: westjem.58717
doi: 10.5811/westjem.58717
pmc: PMC10284524
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

405-415

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Auteurs

Jonathan Gong (J)

Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.

Rene Mayorga (R)

Northwell Health, Emergency Medicine Service Line, New Hyde Park, New York.

Roland Hentz (R)

Feinstein Institute for Medical Research, Biostatistics Unit, Great Neck, New York.

Martin Lesser (M)

Feinstein Institute for Medical Research, Biostatistics Unit, Great Neck, New York.
Zucker School of Medicine at Hofstra/Northwell, Department of Molecular Medicine & Department of Population Health, Hempstead, New York.

Seleshi Demissie (S)

Feinstein Institute for Medical Research, Biostatistics Unit, Great Neck, New York.

Frederick Davis (F)

Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.

Adam Berman (A)

Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.

Matthew Barish (M)

Donald & Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Department of Radiology, Hempstead, New York.

Stuart L Cohen (SL)

Donald & Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Department of Radiology, Hempstead, New York.

Kate L van Loveren (KL)

Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.

Nancy S Kwon (NS)

Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.

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