Statistical properties of cerebral near infrared and intracranial pressure-based cerebrovascular reactivity metrics in moderate and severe neural injury: a machine learning and time-series analysis.

ABSTRACT:

Background

Cerebrovascular reactivity has been identified as a key contributor to secondary injury following traumatic brain injury (TBI). Prevalent intracranial pressure (ICP) based indices of cerebrovascular reactivity are limited by their invasive nature and poor spatial resolution. Fortunately, interest has been building around near infrared spectroscopy (NIRS) based measures of cerebrovascular reactivity that utilize regional cerebral oxygen saturation (rSO₂) as a surrogate for pulsatile cerebral blood volume (CBV). In this study, the relationship between ICP- and rSO₂-based indices of cerebrovascular reactivity, in a cohort of critically ill TBI patients, is explored using classical machine learning clustering techniques and multivariate time-series anal

SUBMITTER: Gomez A 

PROVIDER: S-EPMC10460757 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature