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Published on: December 19, 2020
Characteristics of Suspected COVID-19 Discharged Emergency Department Patients Who Returned During the First Wave
Jonathan Gong1, Rene Mayorga2, Roland Hentz3
1Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York.
Insights
Patients with suspected coronavirus disease 2019 (COVID-19) returning to the emergency department (ED) within 72 hours were identified. Predictors included fever, diabetes, abnormal vital signs, and certain lab results, while antibiotics and corticosteroids reduced return risk.
Area of Science:
- Emergency Medicine
- Infectious Diseases
- Public Health
Background:
- Limited data exists on emergency department (ED) return visits for suspected coronavirus disease 2019 (COVID-19) during the initial pandemic wave.
- Understanding predictors of return visits is crucial for patient management and healthcare resource allocation.
Purpose of the Study:
- To identify predictors of return to the ED within 72 hours for patients with suspected COVID-19 during the first wave.
- To analyze demographic, comorbidity, vital sign, and laboratory data associated with ED return visits.
Main Methods:
- Retrospective analysis of 18,599 patients with suspected COVID-19 from 14 EDs in the New York metropolitan region (March 2-April 27, 2020).
- Data included demographics, comorbidities, presenting complaints, vital signs, laboratory results, and medications at discharge.
- Statistical analysis identified factors associated with a return ED visit within 72 hours.
Main Results:
- A total of 532 (2.86%) patients returned to the ED within 72 hours; 95.49% were admitted.
- Chief complaints of fever or flu, and history of diabetes or renal disease were associated with higher return rates.
- Abnormal vital signs (temperature, respiratory rate), chest radiograph findings, and specific laboratory results (neutrophils, platelets, bicarbonate, AST) increased return risk.
- Discharge on antibiotics or corticosteroids significantly decreased the risk of return.
Conclusions:
- The low overall return rate suggests effective clinical decision-making for patient discharge during the first COVID-19 wave.
- Identifying high-risk patients through specific clinical and laboratory markers can potentially optimize emergency care and reduce readmissions.
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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