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

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 2; p. 499
• Main Authors: Gomez, Alwyn, Froese, Logan, Bergmann, Tobias J G, Sainbhi, Amanjyot Singh, Vakitbilir, Nuray, Islam, Abrar, Stein, Kevin Y, Marquez, Izabella, Ibrahim, Younis, Zeiler, Frederick A
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-01-2024; MDPI
• Subjects: Blood; Brain; Brain research; Catheters; cerebrovascular reactivity monitoring; Health sciences; Hematoma; Humans; Infrared spectroscopy; Injuries; Intensive care; Intracranial Pressure; intracranial pressure monitoring; Linear algebra; Medicin och hälsovetenskap; near-infrared spectroscopy; neurotrauma; Patients; Research Design; Retrospective Studies; Sensors; Software upgrading; Spectroscopy, Near-Infrared; Technology; Tomography; Traumatic brain injury; Canada; United Kingdom; Manitoba; United States > US; near-infrared spectroscopy; intracranial pressure monitoring; neurotrauma; cerebrovascular reactivity monitoring
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s24020499

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.