Ottawa Hospital Research Institute

Nathan B Scales

Andrew J E Seely

Christophe L Herry

Laura Hornby

Sonny Dhanani

Timothy O Ramsay

Amanda S Van Beinum

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.

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Ottawa, Canada

Nathan B Scales