Accepted for/Published in: JMIR Research Protocols
Date Submitted: Mar 16, 2020
Date Accepted: May 15, 2020
Date Submitted to PubMed: May 16, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Near Infrared Based Cerebrovascular Reactivity as a Means of Monitoring Cerebral Autoregulation and Predicting Outcome in Moderate/Severe Traumatic Brain Injury: A Pilot Study Protocol and Planned Analyses
ABSTRACT
Background:
Impaired cerebrovascular reactivity after traumatic brain injury (TBI) in adults is emerging as an important prognostic factor, with strong independent association with 6-month outcomes. To date, it is unknown if impaired cerebrovascular reactivity during the acute phase is associated with ongoing impaired continuously measured cerebrovascular reactivity at in the long-term, and if such measures are associated with clinical phenotype at those points in time.
Objective:
Within this manuscript we highlight a prospective pilot study that will preliminarily assess near infrared spectroscopy (NIRS) derived continuous measures of cerebrovascular reactivity during both acute and long-term phases in adult TBI.
Methods:
Over the course of a 2 year period we will recruit up to 80 moderate/severe TBI patients admitted to the intensive care unit (ICU) with an invasive intracranial pressure (ICP) monitoring. These patients will undergo high-frequency data capture of ICP, arterial blood pressure (ABP), and NIRS for the first 5 days of care. Patients will then have 30 minutes of non-invasive NIRS and ABP monitoring in clinic at 3, 6, and 12 months post-injury. Outcomes will be assessed via Glasgow Outcome Scale and Short Form-12 questionnaires. Various relationships between NIRS and ICP derived cerebrovascular reactivity metrics, and associated outcomes, will be assessed using biomedical signal processing techniques and both multi-variate and time-series statistical methodologies.
Results:
*Not relevant section - funded grant submission.
Conclusions:
Through application of NIRS technology in the monitoring of TBI patients, we expect to be able to outline core relationships between non-invasively measured aspects of cerebral physiology and both invasive measures, as well as patient outcomes. Documenting these relationships carries the potential to revolutionize the way we monitor TBI patients, moving to more non-invasive techniques.
Citation
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