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
COVID-19Start & end year
20202022Funder
Netherlands Organisation for Health Research and Development (ZonMW)Principal Investigator
dr NF. Prof de KeizerResearch Location
N/ALead Research Institution
Amsterdam UMC - locatie AMCResearch Priority Alignment
N/A
Research Category
Clinical characterisation and managementResearch Subcategory
Prognostic factors for disease severitySpecial Interest Tags
N/AStudy Type
ClinicalClinical Trial Details
Not applicableBroad Policy Alignment
PendingAge Group
UnspecifiedVulnerable Population
UnspecifiedOccupations of Interest
Unspecified
Abstract
Deciding which COVID-19 patients benefit most from treatment in the intensive care unit (ICU) is an important social issue. New COVID-19 patients are admitted every day. Care for non-COVID-19 patients must also continue. The pressure on ICU capacity became very high during the COVID-19 peak in the spring of 2020, and this could repeat itself in the next wave. Research and expected outcomes This study examines patient characteristics that indicate an extremely long ICU stay or a very high risk of death for the patient. Intensivists, other specialists, the patient and relatives can use this knowledge to jointly make an informed decision about the usefulness of an ICU admission. The research uses three data registers (NICE Foundation , CovidPredict and Vektis ). Together, the registers include all ICU patients in the Netherlands, including detailed and long-term outcome information of COVID-19 patients. Analyzes are done using statistical and machine learning techniques.