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Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19
Marcel S Woo1, Friedrich Haag2, Axel Nierhaus3
1Institute of Neuroimmunology and Multiple Sclerosis (INIMS), Center for Molecular Neurobiology Hamburg (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany.
Iscience
|June 28, 2021
Summary
Predicting COVID-19 severity is challenging. This study identified T and B cell depletion and hepatobiliary damage markers as key predictors of severe disease and lethal outcomes, leading to a new COST score.
Area of Science:
- Immunology
- Systems Biology
- Clinical Medicine
Background:
- COVID-19, a respiratory infection, can impact multiple organs.
- Predicting patient outcomes is difficult due to high variability.
- Identifying early indicators of severe COVID-19 is a critical unmet need.
Purpose of the Study:
- To longitudinally profile clinical, laboratory, and immunological parameters in COVID-19 patients.
- To identify predictors of disease severity and clinical outcome.
- To develop a novel score for predicting COVID-19 severity.
Main Methods:
- Longitudinal profiling of over 150 parameters in 173 patients with varying COVID-19 severity.
- Systems biology approach integrating clinical, laboratory, and immunological data.
- Unsupervised clustering and trajectory analysis to identify disease indicators.
Main Results:
- Progressive organ damage, particularly in kidneys and the hepatobiliary system, correlated with COVID-19 severity.
- T and B cell depletion were identified as early indicators of complicated disease courses.
- Hepatobiliary damage markers effectively predicted lethal outcomes in critically ill patients.
Conclusions:
- A novel COVID-19 Severity (COST) score was developed.
- The COST score distinguishes complicated disease trajectories and predicts lethal outcomes.
- Early identification of immune and organ damage markers can guide clinical management.
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