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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, MD, Stuart L.;
- van Loveren, Kate L.;
- Kwon, Nancy S.;
- COVID-19 Research Consortium, Northwell
- et al.
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.
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