Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis
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<sub>2</sub>)-based indices of CVR whic...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/2/499 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Alwyn Gomez |
| collection | DOAJ |
| description | 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<sub>2</sub>)-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<sub>2</sub>-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<sub>2</sub>-based indices of CVR to model ICP-based indices. It was found that rSO<sub>2</sub>-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<sub>2</sub>-based indices of CVR and potential greatly expands the scope of CVR monitoring. |
| first_indexed | 2024-03-08T09:47:07Z |
| format | Article |
| id | doaj.art-d63ede008f68489cac28ffeeb554456a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-08T09:47:07Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d63ede008f68489cac28ffeeb554456a2024-01-29T14:15:29ZengMDPI AGSensors1424-82202024-01-0124249910.3390/s24020499Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series AnalysisAlwyn Gomez0Logan Froese1Tobias J. G. Bergmann2Amanjyot Singh Sainbhi3Nuray Vakitbilir4Abrar Islam5Kevin Y. Stein6Izabella Marquez7Younis Ibrahim8Frederick A. Zeiler9Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, CanadaDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Biosystems Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Biosystems Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaSection of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, CanadaThe 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<sub>2</sub>)-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<sub>2</sub>-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<sub>2</sub>-based indices of CVR to model ICP-based indices. It was found that rSO<sub>2</sub>-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<sub>2</sub>-based indices of CVR and potential greatly expands the scope of CVR monitoring.https://www.mdpi.com/1424-8220/24/2/499cerebrovascular reactivity monitoringintracranial pressure monitoringnear-infrared spectroscopyneurotrauma |
| spellingShingle | 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 Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis Sensors cerebrovascular reactivity monitoring intracranial pressure monitoring near-infrared spectroscopy neurotrauma |
| title | Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis |
| title_full | Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis |
| title_fullStr | Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis |
| title_full_unstemmed | Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis |
| title_short | Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis |
| title_sort | non invasive estimation of intracranial pressure derived cerebrovascular reactivity using near infrared spectroscopy sensor technology in acute neural injury a time series analysis |
| topic | cerebrovascular reactivity monitoring intracranial pressure monitoring near-infrared spectroscopy neurotrauma |
| url | https://www.mdpi.com/1424-8220/24/2/499 |
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