Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-28T18:39:08.793Z Has data issue: false hasContentIssue false

P.119 Quantification of the relationship between near infrared spectroscopy based and intracranial pressure based indices of cerebrovascular reactivity in moderate to severe TBI

Published online by Cambridge University Press:  05 June 2023

A Gomez
Affiliation:
(Winnipeg)*
AS Sainbhi
Affiliation:
(Winnipeg)
L Froese
Affiliation:
(Winnipeg)
N Vakitbilir
Affiliation:
(Winnipeg)
K Stein
Affiliation:
(Winnipeg)
FA Zeiler
Affiliation:
(Winnipeg)
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Background: Cerebrovascular reactivity is an important contributor to secondary injury following traumatic brain injury (TBI). The poor spatial resolution and invasive nature of “Gold-standard” intracranial pressure (ICP) based indies of cerebrovascular reactivity limit their use. Near infrared spectroscopy (NIRS) based indices of cerebrovascular reactivity are minimally invasive and have improved spatial resolution. The precise relationship between NIRS and ICP based indices is quantified utilizing times series analysis and advanced statistical techniques. Methods: High-resolution physiologic data was collected in a cohort of adult moderate to severe TBI patients at a single quaternary care site. From this data both ICP and NIRS based indices of cerebrovascular reactivity were derived. The times series structure of these indices was determined and used to correct for autocorrelation in a linear mixed effects model of ICP based indices from NIRS based indices of cerebrovascular reactivity. Results: A total of 83 patients were included in this study. Times series analysis coupled with mixed effects modeling was utilized to examine the relationship between ICP and NIRS based indices of cerebrovascular reactivity. Conclusions: Times series analysis coupled with mixed effects modeling allows for a more complete understanding of the relationship between ICP and NIRS based indices of cerebrovascular reactivity in the setting TBI.

Type
Abstracts
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation