Short-term predictor for COVID-19 severity from a longitudinal multi-omics study for practical application in intensive care units

The COVID-19 pandemic challenged the management of technical and human resources in intensive care units (ICU) across the world. Several long-term predictors for COVID-19 disease progression have been discovered. However, predictors to support short-term planning of resources and medication that can...

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Veröffentlicht in:	Talanta (Oxford) 2024-02, Vol.268, p.125295-125295, Article 125295
Hauptverfasser:	Kugler, Sabine, Hahnefeld, Lisa, Kloka, Jan Andreas, Ginzel, Sebastian, Nürenberg-Goloub, Elina, Zinn, Sebastian, Vehreschild, Maria JGT, Zacharowski, Kai, Lindau, Simone, Ullrich, Evelyn, Burmeister, Jan, Kohlhammer, Jörn, Schwäble, Joachim, Gurke, Robert, Dorochow, Erika, Bennett, Alexandre, Dauth, Stephanie, Campe, Julia, Knape, Tilo, Laux, Volker, Kannt, Aimo, Köhm, Michaela, Geisslinger, Gerd, Resch, Eduard, Behrens, Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	biomarkers carbonate dehydratase chemokines COVID-19 COVID-19 infection data collection decision making disease progression disease severity drug therapy flow injection analysis humans Intensive care unit lipids liquid chromatography Machine learning mass spectrometry metabolites metabolome Multi-omics multiomics patients prognosis proteome resource management Severe acute respiratory syndrome coronavirus 2 Short-term predictor statistical analysis
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