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CMAJ . Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area

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  • CMAJ . Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area


    CMAJ


    . 2021 Feb 10;cmaj.202795.
    doi: 10.1503/cmaj.202795. Online ahead of print.
    Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area


    Amol A Verma 1 , Tejasvi Hora 1 , Hae Young Jung 1 , Michael Fralick 1 , Sarah L Malecki 1 , Lauren Lapointe-Shaw 1 , Adina Weinerman 1 , Terence Tang 1 , Janice L Kwan 1 , Jessica J Liu 1 , Shail Rawal 1 , Timothy C Y Chan 1 , Angela M Cheung 1 , Laura C Rosella 1 , Marzyeh Ghassemi 1 , Margaret Herridge 1 , Muhammad Mamdani 1 , Fahad Razak 1



    Affiliations

    Abstract

    Background: Patient characteristics, clinical care, resource use and outcomes associated with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada are not well described.
    Methods: We described all adults with COVID-19 or influenza discharged from inpatient medical services and medical-surgical intensive care units (ICUs) between Nov. 1, 2019, and June 30, 2020, at 7 hospitals in Toronto and Mississauga, Ontario. We compared patient outcomes using multivariable regression models, controlling for patient sociodemographic factors and comorbidity level. We validated the accuracy of 7 externally developed risk scores to predict mortality among patients with COVID-19.
    Results: There were 1027 hospital admissions with COVID-19 (median age 65 yr, 59.1% male) and 783 with influenza (median age 68 yr, 50.8% male). Patients younger than 50 years accounted for 21.2% of all admissions for COVID-19 and 24.0% of ICU admissions. Compared with influenza, patients with COVID-19 had significantly greater in-hospital mortality (unadjusted 19.9% v. 6.1%, adjusted relative risk [RR] 3.46, 95% confidence interval [CI] 2.56-4.68), ICU use (unadjusted 26.4% v. 18.0%, adjusted RR 1.50, 95% CI 1.25-1.80) and hospital length of stay (unadjusted median 8.7 d v. 4.8 d, adjusted rate ratio 1.45, 95% CI 1.25-1.69). Thirty-day readmission was not significantly different (unadjusted 9.3% v. 9.6%, adjusted RR 0.98, 95% CI 0.70-1.39). Three points-based risk scores for predicting in-hospital mortality showed good discrimination (area under the receiver operating characteristic curve [AUC] ranging from 0.72 to 0.81) and calibration.
    Interpretation: During the first wave of the pandemic, admission to hospital for COVID-19 was associated with significantly greater mortality, ICU use and hospital length of stay than influenza. Simple risk scores can predict in-hospital mortality in patients with COVID-19 with good accuracy.


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