Similar studies exist, but only for predictions of general COVID-19 mortality or a patient’s need for ICU care. Furthermore, this approach is significantly more advanced, as it will analyze multiple sources of data and will produce a risk score that is updated as new data is acquired.
This project will shed more light on how COVID-19-related heart injury could result in heart dysfunction and sudden cardiac death, which is critical in the fight against COVID-19. The project will also help clinicians determine which biomarkers are most predictive of adverse clinical outcome.
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Once the research team creates and tests their algorithm, they will make it widely available to any interested health care institution to implement.
“By predicting who’s at risk for developing the worst outcomes, health care professionals will be able to undertake the best routes of therapy or primary prevention and save lives,” says Trayanova.
Trayanova, whose work focuses on bringing engineering approaches to the clinical realm, is hopeful that this project will augment the role of engineering in helping patients live longer and lead healthier lives.
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