Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis.
Alwyn GomezLogan FroeseTobias J G BergmannAmanjyot Singh SainbhiNuray VakitbilirAbrar IslamKevin Y SteinIzabella MarquezYounis IbrahimFrederick Adam ZeilerPublished in: Sensors (Basel, Switzerland) (2024)
The contemporary monitoring of cerebrovascular reactivity (CVR) relies on invasive intracranial pressure (ICP) monitoring which limits its application. Interest is shifting towards near-infrared spectroscopic regional cerebral oxygen saturation (rSO 2 )-based indices of CVR which are less invasive and have improved spatial resolution. This study aims to examine and model the relationship between ICP and rSO 2 -based indices of CVR. Through a retrospective cohort study of prospectively collected physiologic data in moderate to severe traumatic brain injury (TBI) patients, linear mixed effects modeling techniques, augmented with time-series analysis, were utilized to evaluate the ability of rSO 2 -based indices of CVR to model ICP-based indices. It was found that rSO 2 -based indices of CVR had a statistically significant linear relationship with ICP-based indices, even when the hierarchical and autocorrelative nature of the data was accounted for. This strengthens the body of literature indicating the validity of rSO 2 -based indices of CVR and potential greatly expands the scope of CVR monitoring.
Keyphrases
- severe traumatic brain injury
- traumatic brain injury
- end stage renal disease
- systematic review
- ejection fraction
- electronic health record
- big data
- liver failure
- risk assessment
- subarachnoid hemorrhage
- peritoneal dialysis
- brain injury
- hepatitis b virus
- high intensity
- artificial intelligence
- human health
- blood brain barrier
- optical coherence tomography
- virtual reality
- neural network