Risk Factors for Intensive Care Unit Admission and In-hospital Mortality Among Hospitalized Adults Identified through the US Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET)

  • Lindsay Kim
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Shikha Garg
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Alissa O’Halloran
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Michael Whitaker
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Huong Pham
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Evan J Anderson
    Department of Medicine and Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
  • Isaac Armistead
    University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
  • Nancy M Bennett
    University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
  • Laurie Billing
    Ohio Department of Health, Columbus, Ohio, USA
  • Kathryn Como-Sabetti
    Minnesota Department of Health, St. Paul, Minnesota, USA
  • Mary Hill
    Salt Lake County Health Department, Salt Lake City, Utah, USA
  • Sue Kim
    Michigan Department of Health and Human Services, Lansing, Michigan, USA
  • Maya L Monroe
    Maryland Department of Health, Baltimore, Maryland, USA
  • Alison Muse
    New York State Department of Health, Albany, New York, USA
  • Arthur L Reingold
    University of California, Berkeley, Berkeley, California, USA
  • William Schaffner
    Vanderbilt University School of Medicine, Nashville, Tennessee, USA
  • Melissa Sutton
    Oregon Health Authority, Portland, Oregon, USA
  • H Keipp Talbot
    Vanderbilt University School of Medicine, Nashville, Tennessee, USA
  • Salina M Torres
    New Mexico Department of Health, Santa Fe, New Mexico, USA
  • Kimberly Yousey-Hindes
    Connecticut Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut, USA
  • Rachel Holstein
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Charisse Cummings
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Lynnette Brammer
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Aron J Hall
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Alicia M Fry
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
  • Gayle E Langley
    Coronavirus Disease 2019 (COVID-19) Associated Hospitalization Surveillance Network (COVID-NET) Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

書誌事項

公開日
2020-07-16
DOI
  • 10.1093/cid/ciaa1012
公開者
Oxford University Press (OUP)

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説明

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Currently, the United States has the largest number of reported coronavirus disease 2019 (COVID-19) cases and deaths globally. Using a geographically diverse surveillance network, we describe risk factors for severe outcomes among adults hospitalized with COVID-19.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>We analyzed data from 2491 adults hospitalized with laboratory-confirmed COVID-19 between 1 March–2 May 2020, as identified through the Coronavirus Disease 2019–Associated Hospitalization Surveillance Network, which comprises 154 acute-care hospitals in 74 counties in 13 states. We used multivariable analyses to assess associations between age, sex, race and ethnicity, and underlying conditions with intensive care unit (ICU) admission and in-hospital mortality.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>The data show that 92% of patients had ≥1 underlying condition; 32% required ICU admission; 19% required invasive mechanical ventilation; and 17% died. Independent factors associated with ICU admission included ages 50–64, 65–74, 75–84, and ≥85 years versus 18–39 years (adjusted risk ratios [aRRs], 1.53, 1.65, 1.84, and 1.43, respectively); male sex (aRR, 1.34); obesity (aRR, 1.31); immunosuppression (aRR, 1.29); and diabetes (aRR, 1.13). Independent factors associated with in-hospital mortality included ages 50–64, 65–74, 75–84, and ≥ 85 years versus 18–39 years (aRRs, 3.11, 5.77, 7.67, and 10.98, respectively); male sex (aRR, 1.30); immunosuppression (aRR, 1.39); renal disease (aRR, 1.33); chronic lung disease (aRR 1.31); cardiovascular disease (aRR, 1.28); neurologic disorders (aRR, 1.25); and diabetes (aRR, 1.19).</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>In-hospital mortality increased markedly with increasing age. Aggressive implementation of prevention strategies, including social distancing and rigorous hand hygiene, may benefit the population as a whole, as well as those at highest risk for COVID-19–related complications.</jats:p> </jats:sec>

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