Patient characteristics and admitting vital signs associated with coronavirus disease 2019 (COVID-19)-related mortality among patients admitted with noncritical illness

18Citations
Citations of this article
99Readers
Mendeley users who have this article in their library.

Abstract

Objective: To determine risk factors for mortality among COVID-19 patients admitted to a system of community hospitals in the United States. Design: Retrospective analysis of patient data collected from the routine care of COVID-19 patients. Setting: System of >180 acute-care facilities in the United States. Participants: All admitted patients with positive identification of COVID-19 and a documented discharge as of May 12, 2020. Methods: Determination of demographic characteristics, vital signs at admission, patient comorbidities and recorded discharge disposition in this population to construct a logistic regression estimating the odds of mortality, particular for those patients characterized as not being critically ill at admission. Results: In total, 6,180 COVID-19+ patients were identified as of May 12, 2020. Most COVID-19+ patients (4,808, 77.8%) were admitted directly to a medical-surgical unit with no documented critical care or mechanical ventilation within 8 hours of admission. After adjusting for demographic characteristics, comorbidities, and vital signs at admission in this subgroup, the largest driver of the odds of mortality was patient age (OR, 1.07; 95% CI, 1.06-1.08; P

Cite

CITATION STYLE

APA

Sands, K. E., Wenzel, R. P., McLean, L. E., Korwek, K. M., Roach, J. D., Miller, K. M., … Perlin, J. B. (2021). Patient characteristics and admitting vital signs associated with coronavirus disease 2019 (COVID-19)-related mortality among patients admitted with noncritical illness. Infection Control and Hospital Epidemiology, 42(4), 399–405. https://doi.org/10.1017/ice.2020.461

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free