Ottawa Hospital Research Institute

Christophe L Herry

Andrew J E Seely

Laura Hornby

Timothy O Ramsay

Sonny Dhanani

Amanda S Van Beinum

Nathan B Scales

Andrea Bravi

Andrew Je Seely

A system and method are provided that employ the variability of physiological waveforms to estimate the time to death after WLST, or time to inadequate organ perfusion. From the variability data one can derive an index subsequently used to determine the probability of death (or inadequate organ perfusion) within a given time frame in an automated fashion from bedside monitors in the intensive or post-anesthesia care unit. The resulting variability index can also be combined with the clinical variables used in other death prediction tools to enhance the performance and outcome when compared to existing models. In at least one implementation, variability monitoring at the bedside could be used to provide estimates of the probability that a patient will die within a certain time frame after WLST. These estimates could be used to reduce the distress of the patients' families, as well as optimize the use of resources surrounding donation.

System and method for assisting decisions associated with events relative to withdrawal of life-sustaining therapy using variability measurements

A decision support system is provided for the management of extubation in intensive care unit patients. Based on multi-organ variability analysis of physiological signals, the proposed system transforms acquired waveforms into clinical information such as the risk of failing extubation and the probability of passing extubation. Furthermore, a variety of mechanisms are provided for displaying the extracted information to support a clinician's decisions.

System and method for providing multi-organ variability decision support for extubation management

Growing community of inventors

Fournier, Canada

Christophe L Herry