Developing a Continuous Hemodynamic Autoregulation Monitor

There arc about 1.7 million cases of traumatic brain injury (TBI) in the U.S. annually [1]. or these, patients with moderate to severe head injurirs are typically monitored in surgical intensive care units (SICU) in order to prevent secondary injury to the brain. Treatments are only implemented to reduce intracranial hypertension (IH). Here, we aim to provide near real-time predictive information to enable informed decisions about therapies for TBI patients. In order to predict IH events, existing and newly dewloped autoregulation (AR) indices were evaluated for predictive efficacy. This study will investigate the applicability of the compensatory reserve index i.e. RAP - correlation (R) between the amplitude (A) and mean (P) of intracranial pressure (ICP) to predict IH. Preliminary results comparing simulated and real patient data indicate that RAP relates to ICP changes and has future potential for predicting ICP events and patient outcome.