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    To determine risk factors for mortality among COVID-19 patients admitted to a system of community hospitals in the United States. Retrospective analysis of patient data collected from the routine care of COVID-19 patients. System of >180 acute-care facilities in the United States. All admitted patients with positive identification of COVID-19 and a documented discharge as of May 12, 2020. 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. 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 < .001). Decreased oxygen saturation at admission was associated with increased odds of mortality (OR, 1.09; 95% CI, 1.06-1.12; P < .001) as was diabetes (OR, 1.57; 95% CI, 1.21-2.03; P < .001). The identification of factors observable at admission that are associated with mortality in COVID-19 patients who are initially admitted to non-critical care units may help care providers, hospital epidemiologists, and hospital safety experts better plan for the care of these patients.


    Kenneth E Sands, Richard P Wenzel, Laura E McLean, Kimberly M Korwek, Jonathon D Roach, Karla M Miller, Russell E Poland, L Hayley Burgess, Edmund S Jackson, Jonathan B Perlin. 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. 2021 Apr;42(4):399-405

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    PMID: 32928319

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