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Predicting Intensive Care Unit Admissions for COVID-19 Patients in the Emergency Department

Published online by Cambridge University Press:  31 August 2021

Suphi Bahadirli Open the ORCID record for Suphi Bahadirli [Opens in a new window]  and
Erdem Kurt
Suphi Bahadirli*
Affiliation:
Department of Emergency Medicine, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
Erdem Kurt
Affiliation:
Department of Emergency Medicine, Istanbul Training and Research Hospital, Istanbul, Turkey
*
Corresponding author: Suphi Bahadirli, Email: drsuphibahadirli@gmail.com.
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Abstract

Objective:

Determining the parameters that can predict the requirement of intensive care unit (ICU) admissions among the coronavirus disease 2019 (COVID-19) patients presented to the emergency departments (EDs).

Methods:

In adult consecutive patients admitted (March 15 - April 15, 2020) to the ED of a state hospital for COVID-19, we retrospectively analyzed demographic data, symptoms, laboratory tests, and chest computed tomography (CT) on arrival.

Results:

We included 458 patients [213 (46.5%) females, median age 48 y]. Body temperature, respiration rate, C-reactive protein (CRP), D-dimer, ferritin values, and the number of comorbidities were significantly higher in patients admitted to the ICU than others. Also, diffuse infiltration in chest CT is more common in patients who need ICU follow-up. As a result of the binary regression analysis, a statistically significant correlation was found between the presence of dyspnea (odds ratio [OR]: 12.55), tachypnea (relative risk [RR] ≥ 18) (OR: 14.54), multiple comorbidities (≥2) (OR: 23.39), diffuse infiltration in CT (OR: 14.52), and CRP (≥45 mg/L) (OR: 4.71); and the need for ICU admission.

Conclusion:

It has been concluded that the presence of dyspnea and tachypnea, elevated CRP, presence of multiple comorbidities, and diffuse infiltration in CT may predict the need for ICU admissions of the patients, who presented to the EDs.

Keywords

COVID-19emergency departmentsintensive care unitscomorbidityC-reactive protein
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 16 , Issue 4 , August 2022 , pp. 1594 - 1598
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

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References

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