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DEVELOPING NOVEL PATIENT MONITORING AND EARLY WARNING SYSTEMS

Shrirang Gadrey, MD

Shrirang Gadrey, MD

By Shrirang Gadrey, MD

We developed a model for the oxygen-hemoglobin dissociation curve, which is more accurate than older models for acutely ill subjects. It was published in the journal Physiological measurement and is currently being used by the health system to calculate the SOFA’s respiratory components scores on inpatients.

In a large retrospective cohort, we demonstrated that a “big data” approach to sepsis research might lead to a biased estimation of the predictive validity of sepsis criteria. This paper has been accepted for publication in Critical Care Explorations.

We have developed the ARK (Analysis of Respiratory Kinematics) system, which tracks rib and abdominal motion to convert visual indicators of labored breathing into fully quantitative, remotely monitored risk markers of acute respiratory failure. The initial development work was funded by a seed grant from UVA’s Center for Engineering in Medicine. After successful pilot testing among healthy volunteers with exercise-induced respiratory muscle fatigue, we have secured funding from the Ivy Foundation to study the ARK system in patients with suspected COVID-19.

We are also working on developing targeted predictive analytics for early detection of cardio-respiratory deterioration in COVID-19 patients.

Filed Under: Basic Research, Clinical Research, Research

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