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COVID-19 infection in the cancer population: a study of emergency department imaging utilization and findings
- Source :
- Emergency Radiology
- Publication Year :
- 2021
- Publisher :
- Springer International Publishing, 2021.
-
Abstract
- Purpose To analyze emergency department (ED) computerized tomography (CT) utilization in cancer patients with coronavirus disease 2019 (COVID-19). Methods A retrospective chart review was performed to identify cancer patients who received COVID-19 diagnosis within the single healthcare system and presented to the ED within 30 days of COVID-19 positive date between May 1 and December 31, 2020. Results In our 61 patients, the mean age was 72.5 years old, with 34% of patients (n = 21) on active cancer therapy and 66% (n = 40) on surveillance only. Most patients (n = 53) received their COVID-19 diagnosis within the ED, with 8 patients diagnosed prior to initial ED visit. The most common CT studies ordered within the ED were CT chest (n = 25), CT abdomen/pelvis (A/P) (n = 20), CT head (n = 8), and CT chest/abdomen/pelvis (C/A/P) (n = 7). COVID-19 findings were present on 33 scans, findings of worsening malignancy on 12 scans, and non-COVID non-cancer findings on 9 scans. Significant differences in CT severity score (p = 0.0001), indication for hospitalization (p = 0.026), length of hospitalization (p = 0.004), interventions (remdesivir, mechanical ventilation, and vasopressor support) while hospitalized (p
- Subjects :
- medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
medicine.medical_treatment
Population
CT severity score
Malignancy
COVID-19 Testing
Internal medicine
Neoplasms
medicine
Humans
Radiology, Nuclear Medicine and imaging
education
Pelvis
Aged
Retrospective Studies
Mechanical ventilation
education.field_of_study
business.industry
SARS-CoV-2
Cancer
COVID-19
Emergency department
medicine.disease
Imaging utilization
medicine.anatomical_structure
Emergency Medicine
Abdomen
Original Article
Cancer imaging
business
Emergency Service, Hospital
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 14381435 and 10703004
- Database :
- OpenAIRE
- Journal :
- Emergency Radiology
- Accession number :
- edsair.doi.dedup.....20dff85b1796d972ae89055dbc78805c