Optimal use of hospital resources and intervention using suPAR for improving prognosis and care for patients with COVID-19
- Funded by European Commission
- Total publications:1 publications
Grant number: 961844
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Key facts
Disease
COVID-19Start & end year
20202022Known Financial Commitments (USD)
$1,044,288.2Funder
European CommissionPrincipal Investigator
EUGEN-OLSEN JesperResearch Location
DenmarkLead Research Institution
VIROGATES ASResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Prognostic factors for disease severity
Special Interest Tags
Innovation
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Optimal use of hospital resources and intervention using suPAR for improving prognosis and care for patients with COVID-19 To optimize hospital resources, it is necessary to test which patients that can be sent home (mild outcome of infection) and which patients that should be admitted to hospital (high risk patients). This will deliver on the tasks: 1) Identify patients that can safely cope with the infection at home and 2) Identify high risk patients early in the disease and 3) Select high-risk patients that may benefit of therapy. But how can we identify low- or high-risk patients? The suPARnostic test developed by ViroGates and CE/IVD approved for clinical use is highly prognostic marker for 30-day mortality. Some hospitals have suPAR in routine clinical assessment of patient risk, and preliminary data support that suPAR levels can triage whether patients with COVID-19 will have a mild or a severe outcome of COVID-19 and thereby select which patients that could be discharged or admitted. We aim to transfer manufacturing, upscale and implement the suPARnostic technology across hospitals in Europe to improve the risk stratification of COVID-19 patients and optimize hospital resources. We furthermore provide a test method that can identify high-risk patients that may benefit from experimental therapeutic interventions that may impact on outcome. The identification of patients in high risk of mortality (patients with high suPAR) provide a possibility to intervene.
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