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Article

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

by
Alwyn Gomez
1,2,*,
Logan Froese
3,
Tobias J. G. Bergmann
4,
Amanjyot Singh Sainbhi
3,
Nuray Vakitbilir
3,
Abrar Islam
3,
Kevin Y. Stein
3,5,
Izabella Marquez
4,
Younis Ibrahim
3 and
Frederick A. Zeiler
1,3,6,7,8
1
Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
2
Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
3
Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
4
Department of Biosystems Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
5
Undergraduate Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
6
Centre on Aging, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
7
Division of Anaesthesia, Department of Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB2 0QQ, UK
8
Department of Clinical Neurosciences, Karolinksa Institutet, 171 77 Stockholm, Sweden
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(2), 499; https://doi.org/10.3390/s24020499
Submission received: 2 December 2023 / Revised: 3 January 2024 / Accepted: 11 January 2024 / Published: 13 January 2024
(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)
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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 (rSO2)-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 rSO2-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 rSO2-based indices of CVR to model ICP-based indices. It was found that rSO2-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 rSO2-based indices of CVR and potential greatly expands the scope of CVR monitoring.
Keywords: cerebrovascular reactivity monitoring; intracranial pressure monitoring; near-infrared spectroscopy; neurotrauma cerebrovascular reactivity monitoring; intracranial pressure monitoring; near-infrared spectroscopy; neurotrauma

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MDPI and ACS Style

Gomez, A.; Froese, L.; Bergmann, T.J.G.; Sainbhi, A.S.; Vakitbilir, N.; Islam, A.; Stein, K.Y.; Marquez, I.; Ibrahim, Y.; Zeiler, F.A. Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis. Sensors 2024, 24, 499. https://doi.org/10.3390/s24020499

AMA Style

Gomez A, Froese L, Bergmann TJG, Sainbhi AS, Vakitbilir N, Islam A, Stein KY, Marquez I, Ibrahim Y, Zeiler FA. Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis. Sensors. 2024; 24(2):499. https://doi.org/10.3390/s24020499

Chicago/Turabian Style

Gomez, Alwyn, Logan Froese, Tobias J. G. Bergmann, Amanjyot Singh Sainbhi, Nuray Vakitbilir, Abrar Islam, Kevin Y. Stein, Izabella Marquez, Younis Ibrahim, and Frederick A. Zeiler. 2024. "Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis" Sensors 24, no. 2: 499. https://doi.org/10.3390/s24020499

APA Style

Gomez, A., Froese, L., Bergmann, T. J. G., Sainbhi, A. S., Vakitbilir, N., Islam, A., Stein, K. Y., Marquez, I., Ibrahim, Y., & Zeiler, F. A. (2024). Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis. Sensors, 24(2), 499. https://doi.org/10.3390/s24020499

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