CRiPSI/CRiPSI-X: Covid-19 Risk Prediction in Swiss ICUs-Trial/Extension
Automatically Closed · 2020 until 2022
Albrich Werner, Kleger Gian-Reto, Pietsch Urs, Brutsche Martin, Filipovic Miodrag, Frischknecht Manuel, Kahlert Christian R., Schmid Dagmar, Germann Nicolas, Göhl-Freyn Kristina, Felbecker Ansgar, Fischer Tim, Dietrich Tobias, El Baz Yassir, Suh Noémie, Cerny Andreas, O'Mahony Liam, Von Mering Christian, Bochud Pierre-Yves
Outcome of patients with critical Covid-19 varies. We study risk of and predictors for poor outcome in adult patients with Covid-19 admitted to ICU in a multicenter study. In addition, we assess the prevalence of, risk factors for and mechanisms involved in the prolonged symptoms of surviving patients. We hypothesize that poor outcome and death can be predicted by I) clinical and epidemiologic risk factors including comorbidities, medications, laboratory parameters, radiological signs and risk scores; II) candidate genes or certain host genetic polymorphisms determined with genome-wide association analysis (GWAS); III) host response of all biological pathways that may contribute to disease phenotypes using untargeted transcriptomics and metabolomics; IV) diversity, composition and total burden of the respiratory microbiome, with an abundance of butyrate-producers in the gut and respiratory microbiome being protective. In addition, we hypothesize that initial assessment including clinical severity and multi-omics analysis can predict long-term outcomes including quality of life and neuropsychological outcomes in survivors. Using machine learning algorithms, we will obtain a final comprehensive prediction model integrating all identified predictors.