Identification of COVID-19 patients with high Risk of mortality at ICU admiSsion - IRIS-study

  • Funded by Netherlands Organisation for Health Research and Development (ZonMW)
  • Total publications:0 publications

Grant number: 1.043E+13

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Key facts

  • Disease

  • Start & end year

  • Known Financial Commitments (USD)

  • Funder

    Netherlands Organisation for Health Research and Development (ZonMW)
  • Principle Investigator

  • Research Location

    Netherlands, Europe
  • Lead Research Institution

    Nationale Intensive Care Evaluatie
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags


  • Study Subject


  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment


  • Age Group


  • Vulnerable Population


  • Occupations of Interest



Project description Deciding which COVID-19 patients will benefit most from intensive care unit (IC) treatment is an important societal issue. New COVID-19 patients are admitted daily. Care for non-COVID-19 patients must also continue. The pressure on IC capacity became very high during the COVID-19 peak in the spring of 2020, which could be repeated in the next wave. Research and expected outcomes This study looks at patient characteristics that indicate an extremely long IC admission or a very high risk of death for the patient. Intensivists, other specialists, the patient and family members can use this knowledge to jointly make informed decisions about the usefulness of an IC admission. The research uses three data registers ( NICE foundation , CovidPredict and Vektis ). Together, the registries include all IC patients in the Netherlands, including detailed and long-term outcome information for COVID-19 patients. Analyzes are done by means of statistical and machine learning techniques.