Comparing Clinical Characteristics of Influenza and Common Coronavirus Infections Using Electronic Health Records
- PMID: 33011809
- PMCID: PMC7797744
- DOI: 10.1093/infdis/jiaa626
Comparing Clinical Characteristics of Influenza and Common Coronavirus Infections Using Electronic Health Records
Abstract
Background: We compared outcomes in inpatients and outpatients, pre-COVID-19, who were infected with either coronavirus or influenza.
Methods: Using deidentified electronic health records data from the Geisinger-Regeneron partnership, we compared patients with RT-PCR-positive tests for the 4 common coronaviruses (229E, HKU1, NL63, OC43) or influenza (A and B) from June 2016 to February 2019.
Results: Overall, 52 833 patients were tested for coronaviruses and influenza. For patients ≥21 years old, 1555 and 3991 patient encounters had confirmed positive coronavirus and influenza tests, respectively. Both groups had similar intensive care unit (ICU) admission rates (7.2% vs 6.1%, P = .12), although patients with coronavirus had significantly more pneumonia (15% vs 7.4%, P < .001) and higher death rate within 30 days (4.9% vs 3.0%, P < .001). After controlling for other covariates, coronavirus infection still had a higher risk of death and pneumonia than influenza (odds ratio, 1.64 and 2.05, P < .001), with no significant difference in ICU admission rates.
Conclusions: Common coronaviruses cause significant morbidity, with potentially worse outcomes than influenza. Identifying a subset of patients who are more susceptible to poor outcomes from common coronavirus infections may help plan clinical interventions in patients with suspected infections.
Keywords: common coronavirus; electronic health records; epidemiology; influenza.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.
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Comment in
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An Opportunity to Better Understand the Impact of Coronaviruses on Immunocompromised Patients.J Infect Dis. 2021 Jul 15;224(2):372-373. doi: 10.1093/infdis/jiaa720. J Infect Dis. 2021. PMID: 33220053 Free PMC article. No abstract available.
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