Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2024 Jan 23

PMID 38257592

Authors

Alwyn Gomez

Logan Froese

Tobias J G Bergmann

Amanjyot Singh Sainbhi

Nuray Vakitbilir

Abrar Islam

Kevin Y Stein

Izabella Marquez

Younis Ibrahim

Frederick A Zeiler

Affiliations

Soon will be listed here.

Abstract

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)-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-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-based indices of CVR to model ICP-based indices. It was found that rSO-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-based indices of CVR and potential greatly expands the scope of CVR monitoring.

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