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Agrawal S, Smith C, Bogli SY, Placek MM, Cabeleira M, White D, Daubney E, Young A, Beqiri E, Kayani R, O'Donnell D, Pathan N, Watson S, Maw A, Ganrett M, Kanthimathianathan HK, Bangalore H, Sundararajan S, Subramanian G, Raffaj D, Sarfatti A, Lampareillo S, Mayer A, Ross O, Czosnyka M, Hutchinson PJ, Smielewski P. Status of cerebrovascular autoregulation relates to outcome in severe paediatric head injury: STARSHIP, a prospective multicentre validation study. EClinicalMedicine 2025; 81:103077. [PMID: 39996125 PMCID: PMC11848105 DOI: 10.1016/j.eclinm.2025.103077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Revised: 12/17/2024] [Accepted: 01/10/2025] [Indexed: 02/26/2025] Open
Abstract
Background Continuous assessment of cerebral autoregulation (CA) using pressure reactivity index (PRx), is a promising tool for individualized management to improve outcome after traumatic brain injury (TBI). However, experience with CA in paediatric TBI (pTBI) is limited to retrospective or single-centre studies. Methods Studying Trends of AutoRegulation in Severe Head Injury in Paediatrics (STARSHIP) (clinicalTrials.gov identifier-NCT0688462), was a prospective, multicentre, observational, research database study conducted across 10 identified UK Paediatric Intensive Care Units from 01.07.2018 till 31.04.2024. The main objective was to validate and identify optimal thresholds of PRx associated with outcome (as assessed with Glasgow outcome scale extended for Pediatrics at 12 months) in children (<16 years) requiring invasive arterial blood pressure and intracranial pressure monitoring for TBI and establish a comprehensive research database. Apart from high-resolution data, clinical and outcome data up to 12 months post-ictus were collected. Univariable and multivariable analyses including propensity score matching, were employed to determine the effect of PRx on outcome whilst considering covariates, centre-specific differences and other multimodal metrics. Findings Out of 153 recruited, 135 children (median age 96 months) with consent and adequate data were included. Overall median PRx of the cohort was -0.09 (IQR -0.19 to 0.08). Both ICP and PRx were elevated in non-survivors and children with unfavourable outcome. PRx retained a significant effect on outcome after adjusting for various clinical and monitoring variables. The critical PRx threshold identified were 0.5 for mortality and 0.0 for favourable outcome. Interpretation With STARSHIP, we validate the outcome association of CA derangements as assessed by PRx in pTBI in the first prospective observational multicentre study. This provides additional evidence for the potential use of PRx for individualizing prognosis and treatment and pave way for further research in pTBI with the created database. Funding This study was funded by Action Medical Research for Children's Charity and Addenbrookes Charitable Trust, UK (Grant number-GN2609). Cambridge University Hospitals is the study sponsor (Reference: A094693, contact person: Michelle Ellerbeck-michelle.ellerbeck@nhs.net).
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Affiliation(s)
- Shruti Agrawal
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Paediatric Intensive Care, Cambridge University Hospitals, Cambridge, UK
| | - Claudia Smith
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Stefan Y. Bogli
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Michal M. Placek
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Manuel Cabeleira
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Mechanical Engineering, University College London, London, UK
| | - Deborah White
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Paediatric Intensive Care, Cambridge University Hospitals, Cambridge, UK
| | - Esther Daubney
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Paediatric Intensive Care, Cambridge University Hospitals, Cambridge, UK
| | - Adam Young
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Erta Beqiri
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Riaz Kayani
- Paediatric Intensive Care, Cambridge University Hospitals, Cambridge, UK
| | - Diarmuid O'Donnell
- Paediatric Intensive Care, Cambridge University Hospitals, Cambridge, UK
| | - Nazima Pathan
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Paediatric Intensive Care, Cambridge University Hospitals, Cambridge, UK
| | - Suzanna Watson
- Paediatric Neuropsychology, Cambridge and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Anna Maw
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Matthew Ganrett
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Harish Bangalore
- Paediatric Intensive Care, Great Ormond Street Hospital, London, UK
| | | | | | - Dusan Raffaj
- Paediatric Intensive Care, Nottingham Children's Hospital, Nottingham, UK
| | - Avishay Sarfatti
- Paediatric Intensive Care, Oxford University Hospitals, Oxford, UK
| | | | - Anton Mayer
- Paediatric Intensive Care, Sheffield Children's Hospital, Sheffield, UK
| | - Oliver Ross
- Paediatric Intensive Care, Southampton General Hospital, Southampton, UK
| | - Marek Czosnyka
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Peter J. Hutchinson
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Peter Smielewski
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Svedung Wettervik T, Beqiri E, Hånell A, Bögli SY, Olakorede I, Chen X, Helmy A, Lavinio A, Hutchinson PJ, Smielewski P. Autoregulatory-guided management in traumatic brain injury: does age matter? Acta Neurochir (Wien) 2025; 167:55. [PMID: 40016530 PMCID: PMC11868309 DOI: 10.1007/s00701-025-06474-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 02/20/2025] [Indexed: 03/01/2025]
Abstract
BACKGROUND Although older traumatic brain injury (TBI) patients often exhibit cerebral autoregulatory impairment with high pressure reactivity index (PRx), the role of autoregulatory-guided management in these patients remains elusive. In this study, we aimed to explore if age affected the prognostic role of the autoregulatory variables, PRx and the PRx-derived optimal cerebral perfusion pressure (CPPopt), in a large TBI cohort. METHODS In this observational study, 550 TBI patients who had been treated in the neurocritical care unit, Addenbrooke's Hospital, Cambridge, UK, between 2002 and 2022 with available data on age, intracranial pressure monitoring, and outcome (Glasgow Outcome Scale [GOS]) were included. The patients were classified into three age groups; youth and early adulthood (16-39 years), middle adulthood (40-59 years), and senior adulthood (60 years and above). Autoregulatory variables were studied in relation to outcome using heatmaps. Multivariate logistic regressions of mortality and favourable outcome (GOS 4 to 5) were performed with PRx and ΔCPPopt (CPP-CPPopt) in addition to baseline variables. RESULTS TBI patients in the senior adulthood group exhibited higher PRx and lower ICP than younger patients. There was a transition towards worse outcome with higher PRx in heatmaps for all age groups. The combination of high PRx together with low CPP or negative ΔCPPopt was particularly associated with lower GOS. In multivariate logistic regressions, higher PRx remained independently associated with higher mortality and lower rate of favourable outcome in the senior adulthood cohort. There was a transition towards worse outcome for negative ΔCPPopt for all age groups, but it did not reach statistical significance for the senior adulthood group. CONCLUSIONS PRx was found to be an independent outcome predictor and influenced the safe and dangerous CPP and ΔCPPopt interval for all age groups. Thus, TBI patients older than 60 years may also benefit from autoregulatory-guided management and should not necessarily be excluded from future trials on such therapeutic strategies.
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Affiliation(s)
- Teodor Svedung Wettervik
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 751 85, Uppsala, Sweden.
- Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK.
| | - Erta Beqiri
- Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK
| | - Anders Hånell
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 751 85, Uppsala, Sweden
| | - Stefan Yu Bögli
- Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK
| | - Ihsane Olakorede
- Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK
| | - Xuhang Chen
- Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK
| | - Adel Helmy
- Department of Clinical Neurosciences, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Andrea Lavinio
- Neurosciences and Trauma Critical Care Unit, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, UK
| | - Peter J Hutchinson
- Department of Clinical Neurosciences, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Peter Smielewski
- Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK
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Hemphill JC, Meyfroidt G. AI in neurocritical care: what to expect. Intensive Care Med 2025:10.1007/s00134-025-07803-6. [PMID: 39934315 DOI: 10.1007/s00134-025-07803-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Accepted: 01/16/2025] [Indexed: 02/13/2025]
Affiliation(s)
- J Claude Hemphill
- Department of Neurology, University of California, San Francisco, San Francisco, USA
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven, and KU Leuven, Leuven, Belgium.
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Bonfanti M, Lorini FL, Zangari R, Bonanomi E, Farina A, Pezzetti G, Gerevini S, Aresi S, Dell'Avanzo G, Micheli F, Lanterna LA, Biroli F, Gritti P. Intracranial Pressure Thresholds for Cerebral Autoregulation Impairment: Age-Stratified Analysis of Ultra-Low-Frequency Pressure Reactivity Index (UL-PRx) in Traumatic Brain Injury. Neurocrit Care 2025; 42:152-163. [PMID: 39009939 DOI: 10.1007/s12028-024-02056-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 06/21/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND The study investigated the effectiveness of low-frequency sampling in detecting alterations in cerebrovascular reactivity (CVR) associated with changes in intracranial pressure (ICP) in patients with traumatic brain injury (TBI) across different age groups. The primary objective was to investigate an ICP threshold that indicates a decrease in CVR as evidenced by a significant increase in the ultra-low-frequency pressure reactivity index (UL-PRx). Additionally, the study aimed to develop an age-based categorization method for patients with TBI to investigate the differences between these ICP thresholds in different age groups. METHODS In this retrospective analysis, data from 263 patients with TBI were prospectively collected. ICP and mean arterial pressure were extracted from the hospital database at 5-min intervals. Demographic details, clinical presentation, computed tomography scans, neurosurgical interventions, and 12-months outcome were recorded. ICP versus UL-PRx values were categorized into ICP bins and graphically represented with boxplots for each age group, illustrating how as ICP values rise, there is a bin (age-tailored ICP [AT-ICP]) beyond which UL-PRx shows a sudden increase, indicating CVR loss. Homogeneous age groups were established to obtain a consistent AT-ICP threshold. The discriminatory ability of the AT-ICP thresholds was compared with the guideline-recommended thresholds by calculating the area under the Receiver Operating Characteristic curve of the ICP-derived indices (dose above threshold, and the hourly dosage above threshold). RESULTS Age groups 0-5, 6-20, 21-60, 61-70, and 71-85 years were the best age subdivisions, corresponding to AT-ICP thresholds of 20, 30, 35, 25, and 30 mmHg, respectively. The AT-ICP thresholds exhibited better discriminative ability compared with the guideline-recommended thresholds. CONCLUSIONS The AT-ICP thresholds offer a novel approach for estimating CVR impairment and the developed method represents an alternative solution to address the age stratification issue in patients with TBI.
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Affiliation(s)
- Marco Bonfanti
- FROM Research Foundation- ETS, Papa Giovanni XXIII Hospital, Piazza OSM 1, 24129, Bergamo, Italy.
| | - Ferdinando Luca Lorini
- Department of Anesthesia and Critical Care Medicine, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Rosalia Zangari
- FROM Research Foundation- ETS, Papa Giovanni XXIII Hospital, Piazza OSM 1, 24129, Bergamo, Italy
| | - Ezio Bonanomi
- Department of Anesthesia and Critical Care Medicine, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Alessia Farina
- Department of Anesthesia and Critical Care Medicine, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Giulio Pezzetti
- Department of Neuroradiology, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Simonetta Gerevini
- Department of Neuroradiology, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Silvia Aresi
- Department of Anesthesia and Critical Care Medicine, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Giacomo Dell'Avanzo
- Department of Anesthesia and Critical Care Medicine, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Fabio Micheli
- Department of Anesthesia and Critical Care Medicine, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | | | - Francesco Biroli
- FROM Research Foundation- ETS, Papa Giovanni XXIII Hospital, Piazza OSM 1, 24129, Bergamo, Italy
| | - Paolo Gritti
- Department of Anesthesia and Critical Care Medicine, Papa Giovanni XXIII Hospital, Bergamo, Italy
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Pörteners B, Güiza F, Meyfroidt G. Time-burden insults of neuromonitoring signals: practical implications for the management of acute brain injury. Curr Opin Crit Care 2025:00075198-990000000-00240. [PMID: 39991857 DOI: 10.1097/mcc.0000000000001247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
PURPOSE OF REVIEW To explore recent insights into measures of time-burden insults in intracranial pressure (ICP) monitoring, and potential implications for clinical management. RECENT FINDINGS The ICP is an important therapeutic target in patients with traumatic brain injury (TBI) and some other brain injuries. Current clinical guidelines in TBI recommend starting treatment above a fixed ICP threshold of 22 mmHg. The concept of ICP burden was introduced recently, which takes both intensity and duration of an episode of elevated ICP into account. This burden of ICP is visualized in a colour-coded plot. In different cohorts of brain injured patients, prolonged ICP elevations, even at values below 20 or 22 mmHg, are associated with worse outcomes, and higher ICPs can only be tolerated briefly. The ICP burden plots are influenced by age, cerebral perfusion pressure, and cerebrovascular autoregulation, illustrating the complexity and dynamic aspect of secondary insults of elevated ICP events, and the need for personalization. Two clinical trials are currently investigating the impact of presenting this information at the bedside to clinicians. SUMMARY The implementation of information on ICP burden at the patient's bedside could assist clinicians in recognizing secondary brain injury and result in more personalized ICP management.
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Affiliation(s)
| | - Fabian Güiza
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
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Lin V, Hutchinson PJ, Kolias A, Robba C, Wahlster S. Timing of neurosurgical interventions for intracranial hypertension: the intensivists' and neurosurgeons' view. Curr Opin Crit Care 2025:00075198-990000000-00239. [PMID: 39991845 DOI: 10.1097/mcc.0000000000001243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
PURPOSE OF REVIEW The aim of this study was to highlight clinical considerations regarding medical versus surgical management of elevated intracranial pressure (ICP), describe limitations of medical management, and summarize evidence regarding timing of neurosurgical interventions. RECENT FINDINGS The optimal ICP management strategy remains elusive, and substantial practice variations exist. Common risks of medical treatments include hypotension/shock, cardiac arrhythmias and heart failure, acute renal failure, volume overload, hypoxemia, and prolonged mechanical ventilation.In traumatic brain injury (TBI), recent randomized controlled trials (RCT) did not demonstrate outcome benefits for early, prophylactic decompressive craniectomy, but indicate a role for secondary decompressive craniectomy in patients with refractory elevated ICP. A recent meta-analysis suggested that when an extraventricular drain is required, insertion 24 h or less post-TBI may result in better outcomes.In large ischemic middle cerebral artery strokes, pooled analyses of three RCTs showed functional outcome benefits in patients less than 60 years who underwent prophylactic DC within less than 48 h. In intracranial hemorrhage, a recent RCT suggested outcome benefits for minimally invasive hematoma evacuation within less than 24 h. SUMMARY More data are needed to guide ICP targets, treatment modalities, predictors of herniation, and surgical triggers; clinical decisions should consider individual patient characteristics, and account for risks of medical and surgical treatments.
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Affiliation(s)
- Victor Lin
- University of Washington, Department of Neurology, Seattle, Washington, USA
| | - Peter John Hutchinson
- Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, UK
| | - Angelos Kolias
- Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, UK
| | - Chiara Robba
- IRCCS Policlinico San Martino
- Dipartimento di Scienze Chirurgiche Diagnostiche e Integrate, University of Genoa, Genova, Italy
| | - Sarah Wahlster
- University of Washington, Department of Neurology, Seattle, Washington, USA
- University of Washington, Department of Anesthesiology
- University of Washington, Department of Neurosurgery, Seattle, Washington, USA
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7
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Islam A, Sainbhi AS, Stein KY, Vakitbilir N, Gomez A, Silvaggio N, Bergmann T, Hayat M, Froese L, Zeiler FA. Characterization of RAP Signal Patterns, Temporal Relationships, and Artifact Profiles Derived from Intracranial Pressure Sensors in Acute Traumatic Neural Injury. SENSORS (BASEL, SWITZERLAND) 2025; 25:586. [PMID: 39860955 PMCID: PMC11769573 DOI: 10.3390/s25020586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Revised: 01/14/2025] [Accepted: 01/15/2025] [Indexed: 01/27/2025]
Abstract
GOAL Current methodologies for assessing cerebral compliance using pressure sensor technologies are prone to errors and issues with inter- and intra-observer consistency. RAP, a metric for measuring intracranial compensatory reserve (and therefore compliance), holds promise. It is derived using the moving correlation between intracranial pressure (ICP) and the pulse amplitude of ICP (AMP). RAP remains largely unexplored in cases of moderate to severe acute traumatic neural injury (also known as traumatic brain injury (TBI)). The goal of this work is to explore the general description of (a) RAP signal patterns and behaviors derived from ICP pressure transducers, (b) temporal statistical relationships, and (c) the characterization of the artifact profile. METHODS Different summary and statistical measurements were used to describe RAP's pattern and behaviors, along with performing sub-group analyses. The autoregressive integrated moving average (ARIMA) model was employed to outline the time-series structure of RAP across different temporal resolutions using the autoregressive (p-order) and moving average orders (q-order). After leveraging the time-series structure of RAP, similar methods were applied to ICP and AMP for comparison with RAP. Finally, key features were identified to distinguish artifacts in RAP. This might involve leveraging ICP/AMP signals and statistical structures. RESULTS The mean and time spent within the RAP threshold ranges ([0.4, 1], (0, 0.4), and [-1, 0]) indicate that RAP exhibited high positive values, suggesting an impaired compensatory reserve in TBI patients. The median optimal ARIMA model for each resolution and each signal was determined. Autocorrelative function (ACF) and partial ACF (PACF) plots of residuals verified the adequacy of these median optimal ARIMA models. The median of residuals indicates that ARIMA performed better with the higher-resolution data. To identify artifacts, (a) ICP q-order, AMP p-order, and RAP p-order and q-order, (b) residuals of ICP, AMP, and RAP, and (c) cross-correlation between residuals of RAP and AMP proved to be useful at the minute-by-minute resolution, whereas, for the 10-min-by-10-min data resolution, only the q-order of the optimal ARIMA model of ICP and AMP served as a distinguishing factor. CONCLUSIONS RAP signals derived from ICP pressure sensor technology displayed reproducible behaviors across this population of TBI patients. ARIMA modeling at the higher resolution provided comparatively strong accuracy, and key features were identified leveraging these models that could identify RAP artifacts. Further research is needed to enhance artifact management and broaden applicability across varied datasets.
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Affiliation(s)
- Abrar Islam
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.S.S.); (K.Y.S.); (N.V.); (T.B.); (F.A.Z.)
| | - Amanjyot Singh Sainbhi
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.S.S.); (K.Y.S.); (N.V.); (T.B.); (F.A.Z.)
| | - Kevin Y. Stein
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.S.S.); (K.Y.S.); (N.V.); (T.B.); (F.A.Z.)
- Undergraduate Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Nuray Vakitbilir
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.S.S.); (K.Y.S.); (N.V.); (T.B.); (F.A.Z.)
| | - Alwyn Gomez
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.G.); (M.H.)
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada;
| | - Noah Silvaggio
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada;
| | - Tobias Bergmann
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.S.S.); (K.Y.S.); (N.V.); (T.B.); (F.A.Z.)
| | - Mansoor Hayat
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.G.); (M.H.)
| | - Logan Froese
- Department of Clinical Neurosciences, Karolinksa Institutet, 171 77 Stockholm, Sweden;
| | - Frederick A. Zeiler
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.S.S.); (K.Y.S.); (N.V.); (T.B.); (F.A.Z.)
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; (A.G.); (M.H.)
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada;
- Department of Clinical Neurosciences, Karolinksa Institutet, 171 77 Stockholm, Sweden;
- Pan Am Clinic Foundation, Winnipeg, MB R3M 3E4, Canada
- Division of Anaesthesia, Department of Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB2 1TN, UK
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Mathur R, Cheng L, Lim J, Azad TD, Dziedzic P, Belkin E, Joseph I, Bhende B, Yellapantula S, Potu N, Lefebvre A, Shah V, Muehlschlegel S, Bosel J, Budavari T, Suarez JI. Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine. Neurotherapeutics 2025; 22:e00507. [PMID: 39753383 PMCID: PMC11840348 DOI: 10.1016/j.neurot.2024.e00507] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2024] [Revised: 11/28/2024] [Accepted: 12/02/2024] [Indexed: 02/04/2025] Open
Abstract
A wide range of acute brain injuries, including both traumatic and non-traumatic causes, can result in elevated intracranial pressure (ICP), which in turn can cause further secondary injury to the brain, initiating a vicious cascade of propagating injury. Elevated ICP is therefore a neurological injury that requires intensive monitoring and time-sensitive interventions. Patients at high risk for developing elevated ICP undergo placement of invasive ICP monitors including external ventricular drains, intraparenchymal ICP monitors, and lumbar drains. These monitors all generate an ICP waveform, but each has its own unique caveats in monitoring and accuracy. Current ICP monitoring and management clinical guidelines focus on the mean ICP derived from the ICP waveform, with standard thresholds of treating ICP greater than 20 mmHg or 22 mmHg applied broadly to a wide range of patients. However, this one-size fits all approach has been criticized and there is a need to develop personalized, evidence-based and possibly multi-factorial precision-medicine based approaches to the problem. This paper provides historical and physiological context to the problem of elevated ICP, provides an overview of the challenges of the current paradigm of ICP management strategies, and discusses advances in ICP waveform analysis, emerging non-invasive ICP monitoring techniques, and applications of machine learning to create predictive algorithms.
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Affiliation(s)
- Rohan Mathur
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Lin Cheng
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Josiah Lim
- Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
| | - Tej D Azad
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Peter Dziedzic
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Eleanor Belkin
- Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
| | - Ivanna Joseph
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Bhagyashri Bhende
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | | | - Niteesh Potu
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Austen Lefebvre
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Vishank Shah
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Susanne Muehlschlegel
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Julian Bosel
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany.
| | - Tamas Budavari
- Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
| | - Jose I Suarez
- Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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9
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Gomez JR, Bhende BU, Mathur R, Gonzalez LF, Shah VA. Individualized autoregulation-guided arterial blood pressure management in neurocritical care. Neurotherapeutics 2025; 22:e00526. [PMID: 39828496 PMCID: PMC11840358 DOI: 10.1016/j.neurot.2025.e00526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Revised: 01/07/2025] [Accepted: 01/08/2025] [Indexed: 01/22/2025] Open
Abstract
Cerebral autoregulation (CA) is the physiological process by which cerebral blood flow is maintained during fluctuations in arterial blood pressure (ABP). There are various validated methods to measure CA, either invasively, with intracranial pressure or brain tissue oxygenation monitors, or noninvasively, with transcranial Doppler ultrasound or near-infrared spectroscopy. Utilizing these monitors, researchers have been able to discern CA patterns in several pathological states, such as but not limited to acute ischemic stroke, spontaneous intracranial hemorrhage, aneurysmal subarachnoid hemorrhage, sepsis, and post-cardiac arrest, and they have found CA to be altered in these patients. CA disturbances predispose patients suffering from these ailments to worse outcomes. Much focus has been placed on CA monitoring in these populations, with an emphasis on arterial blood pressure optimization. Many guidelines recommend universal static ABP targets; however, in patients with altered CA, these targets may make them susceptible to hypoperfusion and further neurological injury. Based on this observation, there has been much investigation on individualized ABP goals and their effect on clinical outcomes. The scope of this review includes (1) a summary of the physiology of CA in healthy adults; (2) a review of the evidence on CA monitoring in healthy individuals; (3) a summary of CA changes and its effect on outcomes in various diseased states including acute ischemic stroke, spontaneous intracranial hemorrhage, aneurysmal subarachnoid hemorrhage, sepsis and meningitis, post-cardiac arrest, hypoxic-ischemic encephalopathy, surgery, and moyamoya disease; and (4) a review of the current evidence on individualized ABP changes in various patient populations.
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Affiliation(s)
- Jonathan R Gomez
- Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, USA
| | - Bhagyashri U Bhende
- Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, USA
| | - Rohan Mathur
- Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, USA
| | - L Fernando Gonzalez
- Department of Neurosurgery, Johns Hopkins University School of Medicine, USA; Division of Vascular and Endovascular Neurosurgery, Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vishank A Shah
- Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, USA.
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10
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Viarasilpa T. Managing Intracranial Pressure Crisis. Curr Neurol Neurosci Rep 2024; 25:12. [PMID: 39699775 DOI: 10.1007/s11910-024-01392-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2024] [Indexed: 12/20/2024]
Abstract
PURPOSE OF REVIEW The objective of this review is to provide a comprehensive management protocol for the treatment of intracranial pressure (ICP) crises based on the latest evidence. RECENT FINDINGS The review discusses updated information on various aspects of critical care management in patients experiencing ICP crises, including mechanical ventilation, fluid therapy, hemoglobin targets, and hypertonic saline infusion, the advantages of ICP monitoring, the critical ICP threshold, and bedside neuromonitoring. All aspects of critical care treatment, including hemodynamic and respiratory support and adjustment of ICP reduction therapy, may impact patient outcomes. ICP monitoring allows ICP values, trends, waveforms, and CPP calculation, which are helpful to guide patient care. Advanced neuromonitoring devices are available at the bedside to diagnose impaired intracranial compliance and intracranial hypertension, assess brain function, and optimize cerebral perfusion. Future research should focus on developing appropriate intervention protocols for both invasive and noninvasive neuromonitoring in managing ICP crisis patients.
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Affiliation(s)
- Tanuwong Viarasilpa
- Division of Critical Care, Department of Medicine, Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok, 10700, Thailand.
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11
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Bergmann T, Vakitbilir N, Gomez A, Islam A, Stein KY, Sainbhi AS, Silvaggio N, Marquez I, Froese L, Zeiler FA. Artifact identification and removal methodologies for intracranial pressure signals: a systematic scoping review. Physiol Meas 2024; 45:12TR01. [PMID: 39637554 DOI: 10.1088/1361-6579/ad9af4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 12/05/2024] [Indexed: 12/07/2024]
Abstract
Objective. Intracranial pressure measurement (ICP) is an essential component of deriving of multivariate data metrics foundational to improving understanding of high temporal relationships in cerebral physiology. A significant barrier to this work is artifact ridden data. As such, the objective of this review was to examine the existing literature pertinent to ICP artifact management.Methods.A search of five databases (BIOSIS, SCOPUS, EMBASE, PubMed, and Cochrane Library) was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines with the PRISMA Extension for Scoping Review. The search question examined the methods for artifact management for ICP signals measured in human/animals.Results.The search yielded 5875 unique results. There were 19 articles included in this review based on inclusion/exclusion criteria and article references. Each method presented was categorized as: (1) valid ICP pulse detection algorithms and (2) ICP artifact identification and removal methods. Machine learning-based and filter-based methods indicated the best results for artifact management; however, it was not possible to elucidate a single most robust method.Conclusion.There is a significant lack of standardization in the metrics of effectiveness in artifact removal which makes comparison difficult across studies. Differences in artifacts observed on patient neuropathological health and recording methodologies have not been thoroughly examined and introduce additional uncertainty regarding effectiveness.Significance. This work provides critical insights into existing literature pertaining to ICP artifact management as it highlights holes in the literature that need to be adequately addressed in the establishment of robust artifact management methodologies.
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Affiliation(s)
- Tobias Bergmann
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Nuray Vakitbilir
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Alwyn Gomez
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Abrar Islam
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Kevin Y Stein
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
- Undergraduate Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Amanjyot Singh Sainbhi
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Noah Silvaggio
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Izzy Marquez
- Undergraduate Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Logan Froese
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Frederick A Zeiler
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Centre on Aging, University of Manitoba, Winnipeg, Canada
- Division of Anaesthesia, Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
- Pan Am Clinic Foundation, Winnipeg, MB, Canada
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12
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Thygesen MM, Entezari S, Houlind N, Nielsen TH, Olsen NØ, Nielsen TD, Skov M, Tankisi A, Rasmussen M, Einarsson HB, Orlowski D, Dyrskog SE, Thorup L, Pedersen M, Rasmussen MM. Intraspinal Pressure is Not Elevated After Traumatic Spinal Cord Injury in a Porcine Model Sham-Controlled Trial. Neurocrit Care 2024:10.1007/s12028-024-02181-1. [PMID: 39663302 DOI: 10.1007/s12028-024-02181-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 11/15/2024] [Indexed: 12/13/2024]
Abstract
BACKGROUND It has been suggested that intraspinal pressure (ISP) below the dura is elevated following traumatic spinal cord injury (TSCI). The dura can maintain the pressure, and hence a subdural compartment syndrome has been hypothesized to develop regardless of bony decompression. This study aimed to evaluate whether a such intradural compartment syndrome develops during the first 72 h in a porcine TSCI model. METHODS First, in a randomized sham controlled-trial design, longitudinal ISP measurements were performed over a period of 72 h from onset of TSCI. TSCI was inflicted by a weight-drop contusion regime: 75-g rod, 75-mm free fall, and 5-min compression of the spinal cord. Second, in a sham-controlled dose-response design longitudinal ISP measurements were performed over a period of 16 h from the onset of TSCI, using two other contusion regimes: 75-g rod, 125-mm free fall, and 5-min compression; and 75-g rod, 75-mm free fall, and 240-min compression. Animals were kept sedated for the entire course of the study using propofol, fentanyl, and midazolam. RESULTS Intraspinal pressure increased in TSCI and sham animals alike, but we found no significant increases in ISP following TSCI compared with the sham group, and we found no relationship between the ISP increase and larger impacts or increased time of compression. CONCLUSION These findings suggest that the subdural swelling of the spinal cord following thoracic TSCI is not responsible for the ISP increase measured in our TSCI model, but that the ISP increase was caused by the surgical procedure or the reconstitution of normal cerebrospinal fluid pressure.
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Affiliation(s)
- Mathias Møller Thygesen
- Department of Clinical Medicine Comparative Medicine Lab, Aarhus University, Palle Juul Jensens Blvd 99, DK8200, Aarhus, Denmark.
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark.
| | - Seyar Entezari
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | - Nanna Houlind
- Department of Clinical Medicine Comparative Medicine Lab, Aarhus University, Palle Juul Jensens Blvd 99, DK8200, Aarhus, Denmark
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | | | | | | | - Mathias Skov
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | - Alp Tankisi
- Department of Anesthesiology, Aarhus University Hospital, Aarhus, Denmark
| | - Mads Rasmussen
- Department of Anesthesiology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Dariusz Orlowski
- Department of Clinical Medicine CENSE, Aarhus University, Aarhus, Denmark
| | - Stig Eric Dyrskog
- Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | - Line Thorup
- Department of Intensive Care, Aarhus University Hospital, Aarhus, Denmark
| | - Michael Pedersen
- Department of Clinical Medicine Comparative Medicine Lab, Aarhus University, Palle Juul Jensens Blvd 99, DK8200, Aarhus, Denmark
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13
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Klein SP, Decraene B, De Sloovere V, Kempen B, Meyfroidt G, Depreitere B. The Pressure Reactivity Index as a Measure for Cerebrovascular Autoregulation: Validation in a Porcine Cranial Window Model. Neurosurgery 2024; 95:1450-1456. [PMID: 38861643 DOI: 10.1227/neu.0000000000003019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 04/09/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Pressure reactivity index (PRx) has been proposed as a metric associated with cerebrovascular autoregulatory (CA) function and has been thoroughly investigated in clinical research. In this study, PRx is validated in a porcine cranial window model, developed to visualize pial arteriolar autoregulation and its limits. METHODS We measured arterial blood pressure, intracranial pressure, pial arteriolar diameter, and red blood cell (RBC) velocity in a closed cranial window piglet model during gradual balloon catheter-induced arterial hypotension (n = 10) or hypertension (n = 10). CA limits were derived through piecewise linear regression of calculated RBC flux vs cerebral perfusion pressure (CPP), leading for each arteriole to 1 lower limit of autoregulation (LLA) and 2 upper limits of autoregulation (ULA1 and ULA2). Autoregulation limits were compared with PRx thresholds, and receiver operating curve analysis was performed with and without CPP binning. A linear mixed effects model of PRx was performed. RESULTS Receiver operating curve analysis indicated an area under the curve (AUC) for LLA prediction by a PRx of 0.65 (95% CI: 0.64-0.67) and 0.77 (95% CI: 0.69-0.86) without and with CPP binning, respectively. The AUC for ULA1 prediction by PRx was 0.69 (95% CI: 0.68-0.69) without and 0.75 (95% CI: 0.68-0.82) with binning. The AUC for ULA2 prediction was 0.55 (95% CI: 0.55-0.58) without and 0.63 (95% CI 0.53-0.72) with binning. The sensitivity and specificity of binned PRx were 65%/90% for LLA, 69%/71% for ULA1, and 59%/74% for ULA2, showing wide interindividual variability. In the linear mixed effects model, pial arteriolar diameter changes were significantly associated with PRx changes ( P = .002), whereas RBC velocity ( P = .28) and RBC flux ( P = .24) were not. CONCLUSION We conclude that PRx is predominantly determined by pial arteriolar diameter changes and moderately predicts CA limits. Performance to detect the CA limits varied highly on an individual level. Active therapeutic strategies based on PRx and the associated correlation metrics should incorporate these limitations.
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Affiliation(s)
- Samuel P Klein
- Neurosurgery Center Limburg, Jessa Hospital, Hasselt , Belgium
| | | | | | - Bavo Kempen
- Neurosurgery, University Hospitals Leuven, Leuven , Belgium
| | - Geert Meyfroidt
- Intensive Care Medicine, University Hospitals Leuven, Leuven , Belgium
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14
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Bader SE, Brorsson C, Löfgren N, Löfgren F, Blind PJ, Sundström N, Öman M, Olivecrona M. Cerebral haemodynamics and intracranial pressure during haemorrhagic shock and resuscitation with total endovascular balloon occlusion of the aorta in an animal model. Eur J Trauma Emerg Surg 2024; 50:3069-3082. [PMID: 39453469 PMCID: PMC11666658 DOI: 10.1007/s00068-024-02646-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 08/13/2024] [Indexed: 10/26/2024]
Abstract
PURPOSE To assess changes of cerebral haemodynamic and intracranial pressure (ICP) in animals, with or without elevated ICP, during controlled haemorrhagic shock and resuscitation with Total REBOA (tREBOA). METHOD In 22 anaesthetized and normoventilated pigs, after placement of catheters for monitoring invasive proximal blood pressure (pMAP), ICP, and vital parameters, and 60 min stabilisation phase, a controlled haemorrhagic shock (HS), was conducted. In 11 pigs (EICPG), an elevated ICP of 25-30 mmHg at the end HS was achieved by simulating an epidural mass. In 11 pigs (NICPG), the ICP was normal. tREBOA was then applied for 120 min. The changes of pMAP and ICP were followed, and cerebral perfusion pressure (CPP) calculated. The integrity of the autoregulation was estimated using a calculated Modified-Long Pressure Reactivity Index (mL-PRx). RESULTS After stabilisation, hemodynamics and physiological parameters were similar and normal in both groups. At the end of the HS, ICP was 16 mmHg in NICPG vs. 32 in EICPG (p = 0.0010). CPP was 30 mmHg in NICPG vs. 6 mmHg in EICPG (p = 0.0254). After aorta occlusion CPP increased immediately in both groups reaching after 15 min up to104 mmHg in NICPG vs. 126 mmHg in EICPG. Cerebrovascular reactivity seems to be altered during bleeding and occlusion phases in both groups with positive mL-PRx. The alteration was more pronounced in EICPG, but reversible in both groups. CONCLUSION tREBOA is lifesaving by restoration the cerebral circulation defined as CPP in animals with HS with normal or elevated ICP. Despite the observation of short episodes of cerebral autoregulation impairment during the occlusion, mainly in EICPG, tREBOA seems to be an effective tool for improving cerebral perfusion in HS that extends the crucial early window sometimes known as the "golden hour" for resuscitation even after a traumatic brain injury.
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Affiliation(s)
- Sam Er Bader
- Department of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
| | - C Brorsson
- Department of Surgical and Perioperative Sciences, Anaesthesia and Intensive Care, Umeå University, Umeå, Sweden
| | - N Löfgren
- Department of Surgical and Perioperative Sciences; Surgery, Umeå University, Umeå, Sweden
| | - F Löfgren
- Department of Surgical and Perioperative Sciences, Anaesthesia and Intensive Care, Umeå University, Umeå, Sweden
| | - P-J Blind
- Department of Surgical and Perioperative Sciences; Surgery, Umeå University, Umeå, Sweden
| | - N Sundström
- Department of Radiation Sciences, Radiation Physics, Biomedical Engineering, Umeå University, Umeå, Sweden
| | - M Öman
- Department of Surgical and Perioperative Sciences; Surgery, Umeå University, Umeå, Sweden
| | - M Olivecrona
- Department of Neurosurgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
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15
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Ramos MB, Britz JPE, Telles JPM, Nager GB, Cenci GI, Rynkowski CB, Teixeira MJ, Figueiredo EG. The Effects of Head Elevation on Intracranial Pressure, Cerebral Perfusion Pressure, and Cerebral Oxygenation Among Patients with Acute Brain Injury: A Systematic Review and Meta-Analysis. Neurocrit Care 2024; 41:950-962. [PMID: 38886326 DOI: 10.1007/s12028-024-02020-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 05/23/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Head elevation is recommended as a tier zero measure to decrease high intracranial pressure (ICP) in neurocritical patients. However, its quantitative effects on cerebral perfusion pressure (CPP), jugular bulb oxygen saturation (SjvO2), brain tissue partial pressure of oxygen (PbtO2), and arteriovenous difference of oxygen (AVDO2) are uncertain. Our objective was to evaluate the effects of head elevation on ICP, CPP, SjvO2, PbtO2, and AVDO2 among patients with acute brain injury. METHODS We conducted a systematic review and meta-analysis on PubMed, Scopus, and Cochrane Library of studies comparing the effects of different degrees of head elevation on ICP, CPP, SjvO2, PbtO2, and AVDO2. RESULTS A total of 25 articles were included in the systematic review. Of these, 16 provided quantitative data regarding outcomes of interest and underwent meta-analyses. The mean ICP of patients with acute brain injury was lower in group with 30° of head elevation than in the supine position group (mean difference [MD] - 5.58 mm Hg; 95% confidence interval [CI] - 6.74 to - 4.41 mm Hg; p < 0.00001). The only comparison in which a greater degree of head elevation did not significantly reduce the ICP was 45° vs. 30°. The mean CPP remained similar between 30° of head elevation and supine position (MD - 2.48 mm Hg; 95% CI - 5.69 to 0.73 mm Hg; p = 0.13). Similar findings were observed in all other comparisons. The mean SjvO2 was similar between the 30° of head elevation and supine position groups (MD 0.32%; 95% CI - 1.67% to 2.32%; p = 0.75), as was the mean PbtO2 (MD - 1.50 mm Hg; 95% CI - 4.62 to 1.62 mm Hg; p = 0.36), and the mean AVDO2 (MD 0.06 µmol/L; 95% CI - 0.20 to 0.32 µmol/L; p = 0.65).The mean ICP of patients with traumatic brain injury was also lower with 30° of head elevation when compared to the supine position. There was no difference in the mean values of mean arterial pressure, CPP, SjvO2, and PbtO2 between these groups. CONCLUSIONS Increasing degrees of head elevation were associated, in general, with a lower ICP, whereas CPP and brain oxygenation parameters remained unchanged. The severe traumatic brain injury subanalysis found similar results.
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Affiliation(s)
- Miguel Bertelli Ramos
- Department Neurosurgery, Hospital Do Servidor Público Estadual de São Paulo, São Paulo, Brazil
| | - João Pedro Einsfeld Britz
- Department of Neurosurgery, Hospital Cristo Redentor, Grupo Hospitalar Conceição, Porto Alegre, Brazil
| | | | - Gabriela Borges Nager
- School of Medicine, Universidade Federal Do Estado Do Rio de Janeiro, Rio de Janeiro, Brazil
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16
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Nishimoto T, Oka F, Inoue T, Moriyama H, Kawano R, Suzuki M, Chung DY, Ayata C, Ishihara H. Impact of intracranial hypertension and cerebral perfusion pressure on spreading depolarization. J Cereb Blood Flow Metab 2024:271678X241296799. [PMID: 39501698 PMCID: PMC11563493 DOI: 10.1177/0271678x241296799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 07/30/2024] [Accepted: 08/27/2024] [Indexed: 11/17/2024]
Abstract
Spreading depolarization (SD) develops after stroke and traumatic brain injury and may contribute to secondary brain damage. These diseases are often accompanied by intracranial hypertension, but little is known about the effects of intracranial pressure (ICP) on SD. Here, we study the effect of increased ICP on hemodynamic and metabolic response to SD in rats. SDs were triggered at different ICPs and cerebral perfusion pressures (CPP). The regional cerebral blood flow (rCBF), partial pressure of brain tissue oxygen (PbtO2), cerebral extracellular glucose and lactate concentrations were recorded. Fluoro-Jade staining was used to quantify neuronal injury in cortex. At high ICP (50 mmHg) with low CPP (30 mmHg), rCBF and PbtO2 were monophasically decreased in contrast to a monophasically increased pattern under normal conditions. Neuronal death increased in both hemispheres but much more on the side where SDs were triggered. At high ICP (50 mmHg) with normal CPP (70 mmHg), CBF and metabolism during SD did not differ from baseline, and neuronal death did not increase even on the side of SD induction. These data suggest that maintaining CPP at 70 mmHg, even when the ICP is as high as 50 mmHg, preserves normal blood flow and metabolism during SD events and prevents neuronal degeneration.
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Affiliation(s)
- Takuma Nishimoto
- Department of Neurosurgery, Yamaguchi Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Fumiaki Oka
- Department of Neurosurgery, Yamaguchi Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Takao Inoue
- Organization of Research Initiatives, Yamaguchi University, Ube, Yamaguchi, Japan
| | - Hiroshi Moriyama
- Department of Neurosurgery, Yamaguchi Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Reo Kawano
- Data Management and Biostatistics Unit, Innovation Center for Translational Research, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Michiyasu Suzuki
- Department of Neurosurgery, Yamaguchi Graduate School of Medicine, Ube, Yamaguchi, Japan
- Organization of Research Initiatives, Yamaguchi University, Ube, Yamaguchi, Japan
| | - David Y Chung
- Neurovascular Research Unit, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Cenk Ayata
- Neurovascular Research Unit, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Hideyuki Ishihara
- Department of Neurosurgery, Yamaguchi Graduate School of Medicine, Ube, Yamaguchi, Japan
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17
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Sarmiento-Calderón J, Borré-Naranjo D, Dueñas-Castell C. Monitoreo neurológico multimodal en cuidado intensivo. ACTA COLOMBIANA DE CUIDADO INTENSIVO 2024. [DOI: 10.1016/j.acci.2024.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2025]
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18
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Burzyńska M, Woźniak J, Urbański P, Kędziora J, Załuski R, Goździk W, Uryga A. Heart Rate Variability and Cerebral Autoregulation in Patients with Traumatic Brain Injury with Paroxysmal Sympathetic Hyperactivity Syndrome. Neurocrit Care 2024:10.1007/s12028-024-02149-1. [PMID: 39470966 DOI: 10.1007/s12028-024-02149-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 10/01/2024] [Indexed: 11/01/2024]
Abstract
BACKGROUND Severe traumatic brain injury (TBI) can lead to transient changes in autonomic nervous system (ANS) functioning and development of paroxysmal sympathetic hyperactivity (PSH) syndrome. Clinical manifestation of ANS disorders may be obscured by therapeutic interventions in TBI. This study aims to analyze ANS metrics and cerebral autoregulation in patients with PSH syndrome to determine their significance in early prognostication. METHODS This single-center retrospective study investigated the relationship between changes in ANS metrics, cerebral autoregulation, and PSH syndrome. Arterial blood pressure and intracranial pressure signals were monitored for 5 days post TBI. ANS metrics included time and frequency domain heart rate variability (HRV) metrics. Cerebral autoregulation was assessed using the pressure reactivity index. RESULTS Sixty-six patients with severe TBI (median age 33 [interquartile range 26-50] years) were analyzed, and PSH was confirmed in nine cases. Impairment of cerebral autoregulation was observed in 67% of patients with PSH and 72% without the syndrome. Patients with PSH had higher HRV in the low-frequency range (LF; 253 ± 178 vs. 176 ± 227 ms2; p = 0.035) and lower heart rates (HRs; 70 ± 7 vs. 78 ± 19 bpm; p = 0.027) compared to those without PSH. A receiver operating characteristic curve analysis indicated that HR (area under the curve (AUC) = 0.73, p = 0.006) and HRV in the LF (AUC = 0.70, p = 0.009) are moderate predictors of PSH. In the multiple logistic regression model for PSH, diffuse axonal trauma (odds ratio (OR) = 10.82, 95% confidence interval (CI) = 1.70-68.98, p = 0.012) and HR (OR = 0.91, 95% CI 0.84-0.98, p = 0.021) were significant factors. CONCLUSIONS Elevated HRV in the LF and decreased HR may serve as early predictors of PSH syndrome development, particularly in patients with diffuse axonal trauma. Further research is needed to investigate the utility of the cerebral autoregulation-ANS relationship in PSH prognostication.
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Affiliation(s)
- Małgorzata Burzyńska
- Clinical Department of Anesthesiology and Intensive Care, Faculty of Medicine, Wroclaw Medical University, Wrocław, Poland
| | - Jowita Woźniak
- Department of Neurosurgery, Wroclaw University Hospital, Wroclaw, Poland
| | - Piotr Urbański
- Clinical Department of Anesthesiology and Intensive Care, Faculty of Medicine, Wroclaw Medical University, Wrocław, Poland
| | - Jarosław Kędziora
- Clinical Department of Anesthesiology and Intensive Care, Faculty of Medicine, Wroclaw Medical University, Wrocław, Poland
| | - Rafał Załuski
- Clinical Department of Neurosurgery, Faculty of Medicine, Wroclaw Medical University, Wrocław, Poland
| | - Waldemar Goździk
- Clinical Department of Anesthesiology and Intensive Care, Faculty of Medicine, Wroclaw Medical University, Wrocław, Poland
| | - Agnieszka Uryga
- Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wrocław, Poland.
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Svedung Wettervik T, Howells T, Hånell A, Lewén A, Enblad P. The Optimal pressure reactivity index range is disease-specific: A comparison between aneurysmal subarachnoid hemorrhage and traumatic brain injury. J Clin Monit Comput 2024; 38:1089-1099. [PMID: 38702589 PMCID: PMC11427507 DOI: 10.1007/s10877-024-01168-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024]
Abstract
PURPOSE Impaired cerebral pressure autoregulation is common and detrimental after acute brain injuries. Based on the prevalence of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage (aSAH) patients compared to traumatic brain injury (TBI), we hypothesized that the type of autoregulatory disturbance and the optimal PRx range may differ between these two conditions. The aim of this study was to determine the optimal PRx ranges in relation to functional outcome following aSAH and TBI, respectively. METHODS In this observational study, 487 aSAH patients and 413 TBI patients, treated in the neurointensive care, Uppsala, Sweden, between 2008 and 2018, were included. The percentage of good monitoring time (%GMT) of PRx was calculated within 8 intervals covering the range from -1.0 to + 1.0, and analyzed in relation to favorable outcome (GOS-E 5 to 8). RESULTS In multiple logistic regressions, a higher %GMTs of PRx in the intervals -1.0 to -0.5 and + 0.75 to + 1.0 were independently associated with a lower rate of favorable outcome in the aSAH cohort. In a similar analysis in the TBI cohort, only positive PRx in the interval + 0.75 to + 1.0 was independently associated with a lower rate of favorable outcome. CONCLUSION Extreme PRx values in both directions were unfavorable in aSAH, possibly as high PRx could indicate proximal vasospasm with exhausted distal vasodilatory reserve, while very negative PRx could reflect myogenic hyperreactivity with suppressed cerebral blood flow. Only elevated PRx was unfavorable in TBI, possibly as pressure passive vessels may be a more predominant pathomechanism in this disease.
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Affiliation(s)
- Teodor Svedung Wettervik
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 751 85, Uppsala, Sweden.
| | - Timothy Howells
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 751 85, Uppsala, Sweden
| | - Anders Hånell
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 751 85, Uppsala, Sweden
| | - Anders Lewén
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 751 85, Uppsala, Sweden
| | - Per Enblad
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, 751 85, Uppsala, Sweden
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Gomez A, Marquez I, Froese L, Bergmann T, Sainbhi AS, Vakitbilir N, Islam A, Stein KY, Zeiler FA. The association of acute and chronic phase cerebrovascular reactivity with patient reported quality of life following moderate-to-severe traumatic brain injury. Sci Rep 2024; 14:20737. [PMID: 39237683 PMCID: PMC11377742 DOI: 10.1038/s41598-024-71843-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 08/31/2024] [Indexed: 09/07/2024] Open
Abstract
Global outcomes have been reported to be associated with cerebrovascular reactivity (CVR) in the acute phase following moderate and severe traumatic brain injury (TBI). The association of CVR in the acute and chronic phase of injury with patient-reported health-related quality of life metrics (HRQOL) metrics has never been explored. The aim of this study is to examine the association of CVR, as measured by the cerebral oxygen indices (COx and COx_a), in the acute and chronic phase following moderate and severe TBI, with patient reported HRQOL. In this prospective cohort study, performed in a Canadian quaternary care center, the association between continuous acute and chronic phase CVR with patient reported HRQOL outcomes following moderate and severe TBI was examined. The main outcomes of interest of this study were validated measures of patient-reported HRQOL over various domains as measured by both the 12-Item Short-Form Health Survey (SF-12) and a Quality of Life after Brain Injury (QOLIBRI) questionnaire. In the 29 subjects of this cohort, acute phase CVR was found to be significantly more active in those with a favorable Mental Component Summary (MCS) scores of the SF-12 at early follow-up when measured by COx (-0.015 [IQR: -0.067 to 0.032] vs 0.040 [IQR: 0.019 to 0.137] for Favorable first MCS vs Unfavorable respectively; Mann-Whitney U test p-value = 0.046) and COx_a (0.038 [IQR: 0.009 to 0.062] vs 0.112 [IQR: 0.065 to 0.167] for Favorable first MCS vs Unfavorable respectively; Mann-Whitney U test p-value = 0.014). Further, multivariable logistic regression analysis found acute phase COx and COx_a to improve model performance when predicting favorable versus unfavorable early MCS scores over established parameters such as age and measures of injury severity. Associations between outcomes and chronic phase CVR were limited, potentially due to short recording periods. This is the first ever pilot study to identify a relationship between acute phase CVR following moderate-to-severe TBI with mental and cognitive outcomes as experienced by patients. Given the small cohort, these findings will need to be confirmed in a larger multicenter study. This highlights the need for additional examination of the role dysfunctional CVR may play in mental and cognitive outcomes, as well as patient-reported outcomes more generally following TBI.
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Affiliation(s)
- Alwyn Gomez
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
| | - Izabella Marquez
- Department of Biosystems Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Logan Froese
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Department of Clinical Neurosciences, Karolinksa Institutet, Stockholm, Sweden
| | - Tobias Bergmann
- Department of Biosystems Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Amanjyot Singh Sainbhi
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Nuray Vakitbilir
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Abrar Islam
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Kevin Y Stein
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Frederick A Zeiler
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Department of Clinical Neurosciences, Karolinksa Institutet, Stockholm, Sweden
- Pan Am Clinic Foundation, Winnipeg, MB, Canada
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21
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Stein KY, Gomez A, Griesdale D, Sekhon M, Bernard F, Gallagher C, Thelin EP, Raj R, Aries M, Froese L, Kramer A, Zeiler FA. Cerebral physiologic insult burden in acute traumatic neural injury: a Canadian High Resolution-TBI (CAHR-TBI) descriptive analysis. Crit Care 2024; 28:294. [PMID: 39232842 PMCID: PMC11373089 DOI: 10.1186/s13054-024-05083-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 08/29/2024] [Indexed: 09/06/2024] Open
Abstract
BACKGROUND Over the recent decades, continuous multi-modal monitoring of cerebral physiology has gained increasing interest for its potential to help minimize secondary brain injury following moderate-to-severe acute traumatic neural injury (also termed traumatic brain injury; TBI). Despite this heightened interest, there has yet to be a comprehensive evaluation of the effects of derangements in multimodal cerebral physiology on global cerebral physiologic insult burden. In this study, we offer a multi-center descriptive analysis of the associations between deranged cerebral physiology and cerebral physiologic insult burden. METHODS Using data from the Canadian High-Resolution TBI (CAHR-TBI) Research Collaborative, a total of 369 complete patient datasets were acquired for the purposes of this study. For various cerebral physiologic metrics, patients were trichotomized into low, intermediate, and high cohorts based on mean values. Jonckheere-Terpstra testing was then used to assess for directional relationships between these cerebral physiologic metrics and various measures of cerebral physiologic insult burden. Contour plots were then created to illustrate the impact of preserved vs impaired cerebrovascular reactivity on these relationships. RESULTS It was found that elevated intracranial pressure (ICP) was associated with more time spent with cerebral perfusion pressure (CPP) < 60 mmHg and more time with impaired cerebrovascular reactivity. Low CPP was associated with more time spent with ICP > 20 or 22 mmHg and more time spent with impaired cerebrovascular reactivity. Elevated cerebrovascular reactivity indices were associated with more time spent with CPP < 60 mmHg as well as ICP > 20 or 22 mmHg. Low brain tissue oxygenation (PbtO2) only demonstrated a significant association with more time spent with CPP < 60 mmHg. Low regional oxygen saturation (rSO2) failed to produce a statistically significant association with any particular measure of cerebral physiologic insult burden. CONCLUSIONS Mean ICP, CPP and, cerebrovascular reactivity values demonstrate statistically significant associations with global cerebral physiologic insult burden; however, it is uncertain whether measures of oxygen delivery provide any significant insight into such insult burden.
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Affiliation(s)
- Kevin Y Stein
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
| | - Alwyn Gomez
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Donald Griesdale
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada
| | - Mypinder Sekhon
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada
- Division of Critical Care, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Francis Bernard
- Section of Critical Care, Department of Medicine, University of Montreal, Montreal, QC, Canada
| | - Clare Gallagher
- Section of Neurosurgery, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Eric P Thelin
- Medical Unit Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Rahul Raj
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Marcel Aries
- Department of Intensive Care, Maastricht University Medical Center+ and School of Mental Health and Neurosciences, University Maastricht, Maastricht, The Netherlands
| | - Logan Froese
- Medical Unit Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Andreas Kramer
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Critical Care Medicine, University of Calgary, Calgary, AB, Canada
| | - Frederick A Zeiler
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Pan Am Clinic Foundation, Winnipeg, MB, Canada
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22
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Zoerle T, Beqiri E, Åkerlund CAI, Gao G, Heldt T, Hawryluk GWJ, Stocchetti N. Intracranial pressure monitoring in adult patients with traumatic brain injury: challenges and innovations. Lancet Neurol 2024; 23:938-950. [PMID: 39152029 DOI: 10.1016/s1474-4422(24)00235-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 05/15/2024] [Accepted: 05/28/2024] [Indexed: 08/19/2024]
Abstract
Intracranial pressure monitoring enables the detection and treatment of intracranial hypertension, a potentially lethal insult after traumatic brain injury. Despite its widespread use, robust evidence supporting intracranial pressure monitoring and treatment remains sparse. International studies have shown large variations between centres regarding the indications for intracranial pressure monitoring and treatment of intracranial hypertension. Experts have reviewed these two aspects and, by consensus, provided practical approaches for monitoring and treatment. Advances have occurred in methods for non-invasive estimation of intracranial pressure although, for now, a reliable way to non-invasively and continuously measure intracranial pressure remains aspirational. Analysis of the intracranial pressure signal can provide information on brain compliance (ie, the ability of the cranium to tolerate volume changes) and on cerebral autoregulation (ie, the ability of cerebral blood vessels to react to changes in blood pressure). The information derived from the intracranial pressure signal might allow for more individualised patient management. Machine learning and artificial intelligence approaches are being increasingly applied to intracranial pressure monitoring, but many obstacles need to be overcome before their use in clinical practice could be attempted. Robust clinical trials are needed to support indications for intracranial pressure monitoring and treatment. Progress in non-invasive assessment of intracranial pressure and in signal analysis (for targeted treatment) will also be crucial.
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Affiliation(s)
- Tommaso Zoerle
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Cecilia A I Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden; Function Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
| | - Guoyi Gao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Thomas Heldt
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Gregory W J Hawryluk
- Cleveland Clinic Akron General Hospital, Uniformed Services University, Cleveland, OH, USA
| | - Nino Stocchetti
- Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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23
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Zhang Y, Zhu S, Hu Y, Guo H, Zhang J, Hua T, Zhang Z, Yang M. Correlation between early intracranial pressure and cerebral perfusion pressure with 28-day intensive care unit mortality in patients with hemorrhagic stroke. Eur Stroke J 2024; 9:648-657. [PMID: 38353230 PMCID: PMC11418543 DOI: 10.1177/23969873241232311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 01/25/2024] [Indexed: 08/23/2024] Open
Abstract
INTRODUCTION Hemorrhagic stroke may cause changes in intracranial pressure (ICP) and cerebral perfusion pressure (CPP), which may influence the prognosis of patients. The aim of this study was to investigate the relationship between early ICP, CPP, and 28-day mortality in the intensive care unit (ICU) of patients with hemorrhagic stroke. PATIENTS AND METHODS A retrospective study was performed using the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD), including hemorrhagic stroke patients in the ICU with recorded ICP monitoring. The median values of ICP and CPP were collected for the first 24 h of the patient's monitoring. The primary outcome was 28-day ICU mortality. Multivariable Cox proportional hazards models were used to analyze the relationship between ICP, CPP, and 28-day ICU mortality. Restricted cubic regression splines were used to analyze nonlinear relationships. RESULTS The study included 837 patients with a 28-day ICU mortality rate of 19.4%. Multivariable analysis revealed a significant correlation between early ICP and 28-day ICU mortality (HR 1.08, 95% CI 1.04-1.12, p < 0.01), whereas early CPP showed no correlation with 28-day ICU mortality (HR 1.00, 95% CI 0.98-1.01, p = 0.57), with a correlation only evident when CPP < 60 mmHg (HR 1.99, 95% CI 1.14-3.48, p = 0.01). The study also identified an early ICP threshold of 16.5 mmHg. DISCUSSION AND CONCLUSION Early ICP shows a correlation with 28-day mortality in hemorrhagic stroke patients, with a potential intervention threshold of 16.5 mmHg. In contrast, early CPP showed no correlation with patient prognosis.
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Affiliation(s)
- Yang Zhang
- The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
- Laboratory of Cardiopulmonary Resuscitation and Critical Care, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
| | - Shuaijie Zhu
- The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
- Laboratory of Cardiopulmonary Resuscitation and Critical Care, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
| | - Yan Hu
- The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
- Laboratory of Cardiopulmonary Resuscitation and Critical Care, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
| | - Heng Guo
- The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
- Laboratory of Cardiopulmonary Resuscitation and Critical Care, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
| | - Jin Zhang
- The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
- Laboratory of Cardiopulmonary Resuscitation and Critical Care, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
| | - Tianfeng Hua
- The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
- Laboratory of Cardiopulmonary Resuscitation and Critical Care, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
| | - Zhongheng Zhang
- Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
| | - Min Yang
- The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
- Laboratory of Cardiopulmonary Resuscitation and Critical Care, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, P. R. China
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24
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Carlson AP, Mayer AR, Cole C, van der Horn HJ, Marquez J, Stevenson TC, Shuttleworth CW. Cerebral autoregulation, spreading depolarization, and implications for targeted therapy in brain injury and ischemia. Rev Neurosci 2024; 35:651-678. [PMID: 38581271 PMCID: PMC11297425 DOI: 10.1515/revneuro-2024-0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 03/25/2024] [Indexed: 04/08/2024]
Abstract
Cerebral autoregulation is an intrinsic myogenic response of cerebral vasculature that allows for preservation of stable cerebral blood flow levels in response to changing systemic blood pressure. It is effective across a broad range of blood pressure levels through precapillary vasoconstriction and dilation. Autoregulation is difficult to directly measure and methods to indirectly ascertain cerebral autoregulation status inherently require certain assumptions. Patients with impaired cerebral autoregulation may be at risk of brain ischemia. One of the central mechanisms of ischemia in patients with metabolically compromised states is likely the triggering of spreading depolarization (SD) events and ultimately, terminal (or anoxic) depolarization. Cerebral autoregulation and SD are therefore linked when considering the risk of ischemia. In this scoping review, we will discuss the range of methods to measure cerebral autoregulation, their theoretical strengths and weaknesses, and the available clinical evidence to support their utility. We will then discuss the emerging link between impaired cerebral autoregulation and the occurrence of SD events. Such an approach offers the opportunity to better understand an individual patient's physiology and provide targeted treatments.
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Affiliation(s)
- Andrew P. Carlson
- Department of Neurosurgery, University of New Mexico School of Medicine, MSC10 5615, 1 UNM, Albuquerque, NM, 87131, USA
- Department of Neurosciences, University of New Mexico School of Medicine, 915 Camino de Salud NE, Albuquerque, NM, 87106, USA
| | - Andrew R. Mayer
- Mind Research Network, 1101 Yale, Blvd, NE, Albuquerque, NM, 87106, USA
| | - Chad Cole
- Department of Neurosurgery, University of New Mexico School of Medicine, MSC10 5615, 1 UNM, Albuquerque, NM, 87131, USA
| | | | - Joshua Marquez
- University of New Mexico School of Medicine, 915 Camino de Salud NE, Albuquerque, NM, 87106, USA
| | - Taylor C. Stevenson
- Department of Neurosurgery, University of New Mexico School of Medicine, MSC10 5615, 1 UNM, Albuquerque, NM, 87131, USA
| | - C. William Shuttleworth
- Department of Neurosciences, University of New Mexico School of Medicine, 915 Camino de Salud NE, Albuquerque, NM, 87106, USA
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25
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Carlson AP, Jones T, Zhu Y, Desai M, Alsarah A, Shuttleworth CW. Oxygen-Based Autoregulation Indices Associated with Clinical Outcomes and Spreading Depolarization in Aneurysmal Subarachnoid Hemorrhage. Neurocrit Care 2024:10.1007/s12028-024-02088-x. [PMID: 39192101 DOI: 10.1007/s12028-024-02088-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 07/29/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND Impairment in cerebral autoregulation has been proposed as a potentially targetable factor in patients with aneurysmal subarachnoid hemorrhage (aSAH); however, there are different continuous measures that can be used to calculate the state of autoregulation. In addition, it has previously been proposed that there may be an association of impaired autoregulation with the occurrence of spreading depolarization (SD) events. METHODS Study participants with invasive multimodal monitoring and aSAH were enrolled in an observational study. Autoregulation indices were prospectively calculated from this database as a 10 s moving correlation coefficient between various cerebral blood flow (CBF) surrogates and mean arterial pressure (MAP). In study participants with subdural electrocorticography (ECoG) monitoring, SD was also scored. Associations between clinical outcomes using the modified Rankin scale and occurrence of either isolated or clustered SD were assessed. RESULTS A total of 320 study participants were included, 47 of whom also had ECoG SD monitoring. As expected, baseline severity factors, such as modified Fisher scale score and World Federation of Neurosurgical Societies scale grade, were strongly associated with the clinical outcome. SD probability was related to blood pressure in a triphasic pattern, with a linear increase in probability below MAP of ~ 100 mm Hg. Multiple autoregulation indices were available for review based on moving correlations between mean arterial pressure (MAP) and various surrogates of cerebral blood flow (CBF). We calculated the pressure reactivity (PRx) using two different sources for intracranial pressure (ICP). We calculated the oxygen reactivity (ORx) using the partial pressure of brain tissue oxygen (PbtO2) from the Licox probe. We calculated the cerebral blood flow reactivity (CBFRx) using perfusion measurements from the Bowman perfusion probe. Finally, we calculated the cerebral oxygen saturation reactivity (OSRx) using regional cerebral oxygen saturation measured by near-infrared spectroscopy from the INVOS sensors. Only worse ORx and OSRx were associated with worse clinical outcomes. Both ORx and OSRx also were found to increase in the hour prior to SD for both sporadic and clustered SD. CONCLUSIONS Impairment in autoregulation in aSAH is associated with worse clinical outcomes and occurrence of SD when using ORx and OSRx. Impaired autoregulation precedes SD occurrence. Targeting the optimal MAP or cerebral perfusion pressure in patients with aSAH should use ORx and/or OSRx as the input function rather than intracranial pressure.
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Affiliation(s)
- Andrew P Carlson
- Department of Neurosurgery, University of Virginia School of Medicine, Charlottesville, VA, USA.
- Department of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, NM, USA.
| | - Thomas Jones
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Yiliang Zhu
- Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Masoom Desai
- Department of Neurology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Ali Alsarah
- Department of Neurology, Harvard University, Boston, MA, USA
| | - C William Shuttleworth
- Department of Neuroscience, University of New Mexico School of Medicine, Albuquerque, NM, USA
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26
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Stroh JN, Foreman B, Bennett TD, Briggs JK, Park S, Albers DJ. Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management. Front Physiol 2024; 15:1381127. [PMID: 39189028 PMCID: PMC11345185 DOI: 10.3389/fphys.2024.1381127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 06/28/2024] [Indexed: 08/28/2024] Open
Abstract
Background: The protocols and therapeutic guidance established for treating traumatic brain injury (TBI) in neurointensive care focus on managing cerebral blood flow (CBF) and brain tissue oxygenation based on pressure signals. The decision support process relies on assumed relationships between cerebral perfusion pressure (CPP) and blood flow, pressure-flow relationships (PFRs), and shares this framework of assumptions with mathematical intracranial hemodynamics models. These foundational assumptions are difficult to verify, and their violation can impact clinical decision-making and model validity. Methods: A hypothesis- and model-driven method for verifying and understanding the foundational intracranial hemodynamic PFRs is developed and applied to a novel multi-modality monitoring dataset. Results: Model analysis of joint observations of CPP and CBF validates the standard PFR when autoregulatory processes are impaired as well as unmodelable cases dominated by autoregulation. However, it also identifies a dynamical regime -or behavior pattern-where the PFR assumptions are wrong in a precise, data-inferable way due to negative CPP-CBF coordination over long timescales. This regime is of both clinical and research interest: its dynamics are modelable under modified assumptions while its causal direction and mechanistic pathway remain unclear. Conclusion: Motivated by the understanding of mathematical physiology, the validity of the standard PFR can be assessed a) directly by analyzing pressure reactivity and mean flow indices (PRx and Mx) or b) indirectly through the relationship between CBF and other clinical observables. This approach could potentially help to personalize TBI care by considering intracranial pressure and CPP in relation to other data, particularly CBF. The analysis suggests a threshold using clinical indices of autoregulation jointly generalizes independently set indicators to assess CA functionality. These results support the use of increasingly data-rich environments to develop more robust hybrid physiological-machine learning models.
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Affiliation(s)
- J. N. Stroh
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Department of Bioengineering, University of Colorado Denver |Anschutz Medical Campus, Denver, CO, United States
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, United States
- Gardner Neuroscience Institute, University of Cincinnati, Cincinnati, OH, United States
| | - Tellen D. Bennett
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Pediatric Intensive Care, Children’s Hospital of Colorado, Aurora, CO, United States
| | - Jennifer K. Briggs
- Department of Bioengineering, University of Colorado Denver |Anschutz Medical Campus, Denver, CO, United States
| | - Soojin Park
- Department of Biomedical Informatics, Columbia University, New York, NY, United States
- Department of Neurology, New York Presbyterian/Columbia University Irving Medical Center, New York, NY, United States
| | - David J. Albers
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Department of Bioengineering, University of Colorado Denver |Anschutz Medical Campus, Denver, CO, United States
- Department of Biomedical Informatics, Columbia University, New York, NY, United States
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27
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de Moraes FM, Brasil S, Frigieri G, Robba C, Paiva W, Silva GS. ICP wave morphology as a screening test to exclude intracranial hypertension in brain-injured patients: a non-invasive perspective. J Clin Monit Comput 2024; 38:773-782. [PMID: 38355918 DOI: 10.1007/s10877-023-01120-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 12/15/2023] [Indexed: 02/16/2024]
Abstract
Intracranial hypertension (IH) is a life-threating condition especially for the brain injured patient. In such cases, an external ventricular drain (EVD) or an intraparenchymal bolt are the conventional gold standard for intracranial pressure (ICPi) monitoring. However, these techniques have several limitations. Therefore, identifying an ideal screening method for IH is important to avoid the unnecessary placement of ICPi and expedite its introduction in patients who require it. A potential screening tool is the ICP wave morphology (ICPW) which changes according to the intracranial volume-pressure curve. Specifically, the P2/P1 ratio of the ICPW has shown promise as a triage test to indicate normal ICP. In this study, we propose evaluating the noninvasive ICPW (nICPW-B4C sensor) as a screening method for ICPi monitoring in patients with moderate to high probability of IH. This is a retrospective analysis of a prospective, multicenter study that recruited adult patients requiring ICPi monitoring from both Federal University of São Paulo and University of São Paulo Medical School Hospitals. ICPi values and the nICPW parameters were obtained from both the invasive and the noninvasive methods simultaneously 5 min after the closure of the EVD drainage. ICP assessment was performed using a catheter inserted into the ventricle and connected to a pressure transducer and a drainage system. The B4C sensor was positioned on the patient's scalp without the need for trichotomy, surgical incision or trepanation, and the morphology of the ICP waves acquired through a strain sensor that can detect and monitor skull bone deformations caused by changes in ICP. All patients were monitored using this noninvasive system for at least 10 min per session. The area under the curve (AUC) was used to describe discriminatory power of the P2/P1 ratio for IH, with emphasis in the Negative Predictive value (NPV), based on the Youden index, and the negative likelihood ratio [LR-]. Recruitment occurred from August 2017 to March 2020. A total of 69 patients fulfilled inclusion and exclusion criteria in the two centers and a total of 111 monitorizations were performed. The mean P2/P1 ratio value in the sample was 1.12. The mean P2/P1 value in the no IH population was 1.01 meanwhile in the IH population was 1.32 (p < 0.01). The best Youden index for the mean P2/P1 ratio was with a cut-off value of 1.13 showing a sensitivity of 93%, specificity of 60%, and a NPV of 97%, as well as an AUC of 0.83 to predict IH. With the 1.13 cut-off value for P2/P1 ratio, the LR- for IH was 0.11, corresponding to a strong performance in ruling out the condition (IH), with an approximate 45% reduction in condition probability after a negative test (ICPW). To conclude, the P2/P1 ratio of the noninvasive ICP waveform showed in this study a high Negative Predictive Value and Likelihood Ratio in different acute neurological conditions to rule out IH. As a result, this parameter may be beneficial in situations where invasive methods are not feasible or unavailable and to screen high-risk patients for potential invasive ICP monitoring.Trial registration: At clinicaltrials.gov under numbers NCT05121155 (Registered 16 November 2021-retrospectively registered) and NCT03144219 (Registered 30 September 2022-retrospectively registered).
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Affiliation(s)
| | - Sérgio Brasil
- Division of Neurosurgery, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Gustavo Frigieri
- Medical Investigation Laboratory 62, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Chiara Robba
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia E Le Neuroscienze, Genoa, Italy
| | - Wellingson Paiva
- Division of Neurosurgery, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Gisele Sampaio Silva
- Department of Neurology and Neurosurgery, Federal University of São Paulo, São Paulo, Brazil
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Prasad A, Gilmore EJ, Kim JA, Begunova L, Olexa M, Beekman R, Falcone GJ, Matouk C, Ortega-Gutierrez S, Temkin NR, Barber J, Diaz-Arrastia R, de Havenon A, Petersen NH. Impact of Therapeutic Interventions on Cerebral Autoregulatory Function Following Severe Traumatic Brain Injury: A Secondary Analysis of the BOOST-II Study. Neurocrit Care 2024; 41:91-99. [PMID: 38158481 PMCID: PMC11285118 DOI: 10.1007/s12028-023-01896-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 11/17/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The Brain Oxygen Optimization in Severe Traumatic Brain Injury Phase II randomized controlled trial used a tier-based management protocol based on brain tissue oxygen (PbtO2) and intracranial pressure (ICP) monitoring to reduce brain tissue hypoxia after severe traumatic brain injury. We performed a secondary analysis to explore the relationship between brain tissue hypoxia, blood pressure (BP), and interventions to improve cerebral perfusion pressure (CPP). We hypothesized that BP management below the lower limit of autoregulation would lead to cerebral hypoperfusion and brain tissue hypoxia that could be improved with hemodynamic augmentation. METHODS Of the 119 patients enrolled in the Brain Oxygen Optimization in Severe Traumatic Brain Injury Phase II trial, 55 patients had simultaneous recordings of arterial BP, ICP, and PbtO2. Autoregulatory function was measured by interrogating changes in ICP and PbtO2 in response to fluctuations in CPP using time-correlation analysis. The resulting autoregulatory indices (pressure reactivity index and oxygen reactivity index) were used to identify the "optimal" CPP and limits of autoregulation for each patient. Autoregulatory function and percent time with CPP outside personalized limits of autoregulation were calculated before, during, and after all interventions directed to optimize CPP. RESULTS Individualized limits of autoregulation were computed in 55 patients (mean age 38 years, mean monitoring time 92 h). We identified 35 episodes of brain tissue hypoxia (PbtO2 < 20 mm Hg) treated with CPP augmentation. Following each intervention, mean CPP increased from 73 ± 14 mm Hg to 79 ± 17 mm Hg (p = 0.15), and mean PbtO2 improved from 18.4 ± 5.6 mm Hg to 21.9 ± 5.6 mm Hg (p = 0.01), whereas autoregulatory function trended toward improvement (oxygen reactivity index 0.42 vs. 0.37, p = 0.14; pressure reactivity index 0.25 vs. 0.21, p = 0.2). Although optimal CPP and limits remained relatively unchanged, there was a significant decrease in the percent time with CPP below the lower limit of autoregulation in the 60 min after compared with before an intervention (11% vs. 23%, p = 0.05). CONCLUSIONS Our analysis suggests that brain tissue hypoxia is associated with cerebral hypoperfusion characterized by increased time with CPP below the lower limit of autoregulation. Interventions to increase CPP appear to improve autoregulation. Further studies are needed to validate the importance of autoregulation as a modifiable variable with the potential to improve outcomes.
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Affiliation(s)
- Ayush Prasad
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Emily J Gilmore
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Jennifer A Kim
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Liza Begunova
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Madelynne Olexa
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Rachel Beekman
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Guido J Falcone
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Charles Matouk
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | | | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jason Barber
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Adam de Havenon
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA
| | - Nils H Petersen
- Division of Neurocritical Care and Emergency, Department of Neurology, Yale University School of Medicine, 15 York St, LCI 1003, New Haven, CT, CT 06510, USA.
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Svedung Wettervik T, Beqiri E, Hånell A, Bögli SY, Placek M, Donnelly J, Guilfoyle MR, Helmy A, Lavinio A, Hutchinson PJ, Smielewski P. Visualization of Cerebral Pressure Autoregulatory Insults in Traumatic Brain Injury. Crit Care Med 2024; 52:1228-1238. [PMID: 38587420 DOI: 10.1097/ccm.0000000000006287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
OBJECTIVES The first aim was to investigate the combined effect of insult intensity and duration of the pressure reactivity index (PRx) and deviation from the autoregulatory cerebral perfusion pressure target (∆CPPopt = actual CPP - optimal CPP [CPPopt]) on outcome in traumatic brain injury. The second aim was to determine if PRx influenced the association between intracranial pressure (ICP), CPP, and ∆CPPopt with outcome. DESIGN Observational cohort study. SETTING Neurocritical care unit, Cambridge, United Kingdom. PATIENTS Five hundred fifty-three traumatic brain injury patients with ICP and arterial blood pressure monitoring and 6-month outcome data (Glasgow Outcome Scale [GOS]). INTERVENTION None. MEASUREMENTS AND MAIN RESULTS The insult intensity (mm Hg or PRx coefficient) and duration (minutes) of ICP, PRx, CPP, and ∆CPPopt were correlated with GOS and visualized in heatmaps. In these plots, there was a transition from favorable to unfavorable outcome when PRx remained positive for 30 minutes and this was also the case for shorter durations when the intensity was higher. In a similar plot of ∆CPPopt, there was a gradual transition from favorable to unfavorable outcome when ∆CPPopt went below -5 mm Hg for 30-minute episodes of time and for shorter durations for more negative ∆CPPopt. Furthermore, the percentage of monitoring time with certain combinations of PRx with ICP, CPP, and ∆CPPopt were correlated with GOS and visualized in heatmaps. In the combined PRx/ICP heatmap, ICP above 20 mm Hg together with PRx above 0 correlated with unfavorable outcome. In a PRx/CPP heatmap, CPP below 70 mm Hg together with PRx above 0.2-0.4 correlated with unfavorable outcome. In the PRx-/∆CPPopt heatmap, ∆CPPopt below 0 together with PRx above 0.2-0.4 correlated with unfavorable outcome. CONCLUSIONS Higher intensities for longer durations of positive PRx and negative ∆CPPopt correlated with worse outcome. Elevated ICP, low CPP, and negative ∆CPPopt were particularly associated with worse outcomes when the cerebral pressure autoregulation was concurrently impaired.
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Affiliation(s)
- Teodor Svedung Wettervik
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, Uppsala, Sweden
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Anders Hånell
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, Uppsala, Sweden
| | - Stefan Yu Bögli
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Michal Placek
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Joseph Donnelly
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
- Department of Neurology, Auckland City Hospital, Auckland, New Zealand
| | - Mathew R Guilfoyle
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Adel Helmy
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Andrea Lavinio
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Peter J Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
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30
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Froese L, Gomez A, Sainbhi AS, Vakitbilir N, Marquez I, Amenta F, Park K, Stein KY, Berrington N, Dhaliwal P, Zeiler FA. Optimal bispectral index exists in healthy patients undergoing general anesthesia: A validation study. J Clin Monit Comput 2024; 38:791-802. [PMID: 38436898 DOI: 10.1007/s10877-024-01136-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 02/05/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE Continuous cerebrovascular reactivity monitoring in both neurocritical and intra-operative care has gained extensive interest in recent years, as it has documented associations with long-term outcomes (in neurocritical care populations) and cognitive outcomes (in operative cohorts). This has sparked further interest into the exploration and evaluation of methods to achieve an optimal cerebrovascular reactivity measure, where the individual patient is exposed to the lowest insult burden of impaired cerebrovascular reactivity. Recent literature has documented, in neural injury populations, the presence of a potential optimal sedation level in neurocritical care, based on the relationship between cerebrovascular reactivity and quantitative depth of sedation (using bispectral index (BIS)) - termed BISopt. The presence of this measure outside of neural injury patients has yet to be proven. METHODS We explore the relationship between BIS and continuous cerebrovascular reactivity in two cohorts: (A) healthy population undergoing elective spinal surgery under general anesthesia, and (B) healthy volunteer cohort of awake controls. RESULTS We demonstrate the presence of BISopt in the general anesthesia population (96% of patients), and its absence in awake controls, providing preliminary validation of its existence outside of neural injury populations. Furthermore, we found BIS to be sufficiently separate from overall systemic blood pressure, this indicates that they impact different pathophysiological phenomena to mediate cerebrovascular reactivity. CONCLUSIONS Findings here carry implications for the adaptation of the individualized physiologic BISopt concept to non-neural injury populations, both within critical care and the operative theater. However, this work is currently exploratory, and future work is required.
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Affiliation(s)
- Logan Froese
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
| | - Alwyn Gomez
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Amanjyot Singh Sainbhi
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Nuray Vakitbilir
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Izabella Marquez
- Undergraduate Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Fiorella Amenta
- Undergraduate Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Kangyun Park
- Undergraduate Medical Education, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Kevin Y Stein
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Undergraduate Medical Education, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Neil Berrington
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Perry Dhaliwal
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Frederick A Zeiler
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Division of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Division of Anaesthesia, Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
- Centre on Aging, University of Manitoba, Winnipeg, MB, Canada
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31
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Hong E, Froese L, Pontén E, Fletcher-Sandersjöö A, Tatter C, Hammarlund E, Åkerlund CAI, Tjerkaski J, Alpkvist P, Bartek J, Raj R, Lindblad C, Nelson DW, Zeiler FA, Thelin EP. Critical thresholds of long-pressure reactivity index and impact of intracranial pressure monitoring methods in traumatic brain injury. Crit Care 2024; 28:256. [PMID: 39075480 PMCID: PMC11285281 DOI: 10.1186/s13054-024-05042-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 07/16/2024] [Indexed: 07/31/2024] Open
Abstract
BACKGROUND Moderate-to-severe traumatic brain injury (TBI) has a global mortality rate of about 30%, resulting in acquired life-long disabilities in many survivors. To potentially improve outcomes in this TBI population, the management of secondary injuries, particularly the failure of cerebrovascular reactivity (assessed via the pressure reactivity index; PRx, a correlation between intracranial pressure (ICP) and mean arterial blood pressure (MAP)), has gained interest in the field. However, derivation of PRx requires high-resolution data and expensive technological solutions, as calculations use a short time-window, which has resulted in it being used in only a handful of centers worldwide. As a solution to this, low resolution (longer time-windows) PRx has been suggested, known as Long-PRx or LPRx. Though LPRx has been proposed little is known about the best methodology to derive this measure, with different thresholds and time-windows proposed. Furthermore, the impact of ICP monitoring on cerebrovascular reactivity measures is poorly understood. Hence, this observational study establishes critical thresholds of LPRx associated with long-term functional outcome, comparing different time-windows for calculating LPRx as well as evaluating LPRx determined through external ventricular drains (EVD) vs intraparenchymal pressure device (IPD) ICP monitoring. METHODS The study included a total of n = 435 TBI patients from the Karolinska University Hospital. Patients were dichotomized into alive vs. dead and favorable vs. unfavorable outcomes based on 1-year Glasgow Outcome Scale (GOS). Pearson's chi-square values were computed for incrementally increasing LPRx or ICP thresholds against outcome. The thresholds that generated the greatest chi-squared value for each LPRx or ICP parameter had the highest outcome discriminatory capacity. This methodology was also completed for the segmentation of the population based on EVD, IPD, and time of data recorded in hospital stay. RESULTS LPRx calculated with 10-120-min windows behaved similarly, with maximal chi-square values ranging at around a LPRx of 0.25-0.35, for both survival and favorable outcome. When investigating the temporal relations of LPRx derived thresholds, the first 4 days appeared to be the most associated with outcomes. The segmentation of the data based on intracranial monitoring found limited differences between EVD and IPD, with similar LPRx values around 0.3. CONCLUSION Our work suggests that the underlying prognostic factors causing impairment in cerebrovascular reactivity can, to some degree, be detected using lower resolution PRx metrics (similar found thresholding values) with LPRx found clinically using as low as 10 min-by-minute samples of MAP and ICP. Furthermore, EVD derived LPRx with intermittent cerebrospinal fluid draining, seems to present similar outcome capacity as IPD. This low-resolution low sample LPRx method appears to be an adequate substitute for the clinical prognostic value of PRx and may be implemented independent of ICP monitoring method when PRx is not feasible, though further research is warranted.
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Affiliation(s)
- Erik Hong
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Logan Froese
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
| | - Emeli Pontén
- Department of Molecular Medicine and Surgery (MMK), Karolinska Institutet, Stockholm, Sweden
- Department of Neurosurgery, Skåne University Hospital, Lund, Sweden
| | - Alexander Fletcher-Sandersjöö
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Charles Tatter
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Södersjukhuset, Stockholm, Sweden
| | - Emma Hammarlund
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
| | - Cecilia A I Åkerlund
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
- Section of Perioperative Medicine and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | | | - Peter Alpkvist
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Jiri Bartek
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Rahul Raj
- Department of Neurosurgery, University of Helsinki, Helsinki, Finland
| | - Caroline Lindblad
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurosurgery, Uppsala University Hospital, Uppsala, Sweden
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - David W Nelson
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
- Section of Perioperative Medicine and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Frederick A Zeiler
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Pan Am Clinic Foundation, Winnipeg, MB, Canada
- Centre on Aging, University of Manitoba, Winnipeg, Canada
| | - Eric P Thelin
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
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32
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Zhu J, Shan Y, Li Y, Xu X, Wu X, Xue Y, Gao G. Random forest-based prediction of intracranial hypertension in patients with traumatic brain injury. Intensive Care Med Exp 2024; 12:58. [PMID: 38954280 PMCID: PMC11219663 DOI: 10.1186/s40635-024-00643-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 06/17/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Treatment and prevention of intracranial hypertension (IH) to minimize secondary brain injury are central to the neurocritical care management of traumatic brain injury (TBI). Predicting the onset of IH in advance allows for a more aggressive prophylactic treatment. This study aimed to develop random forest (RF) models for predicting IH events in TBI patients. METHODS We analyzed prospectively collected data from patients admitted to the intensive care unit with invasive intracranial pressure (ICP) monitoring. Patients with persistent ICP > 22 mmHg in the early postoperative period (first 6 h) were excluded to focus on IH events that had not yet occurred. ICP-related data from the initial 6 h were used to extract linear (ICP, cerebral perfusion pressure, pressure reactivity index, and cerebrospinal fluid compensatory reserve index) and nonlinear features (complexity of ICP and cerebral perfusion pressure). IH was defined as ICP > 22 mmHg for > 5 min, and severe IH (SIH) as ICP > 22 mmHg for > 1 h during the subsequent ICP monitoring period. RF models were then developed using baseline characteristics (age, sex, and initial Glasgow Coma Scale score) along with linear and nonlinear features. Fivefold cross-validation was performed to avoid overfitting. RESULTS The study included 69 patients. Forty-three patients (62.3%) experienced an IH event, of whom 30 (43%) progressed to SIH. The median time to IH events was 9.83 h, and to SIH events, it was 11.22 h. The RF model showed acceptable performance in predicting IH with an area under the curve (AUC) of 0.76 and excellent performance in predicting SIH (AUC = 0.84). Cross-validation analysis confirmed the stability of the results. CONCLUSIONS The presented RF model can forecast subsequent IH events, particularly severe ones, in TBI patients using ICP data from the early postoperative period. It provides researchers and clinicians with a potentially predictive pathway and framework that could help triage patients requiring more intensive neurological treatment at an early stage.
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Affiliation(s)
- Jun Zhu
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China
| | - Yingchi Shan
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China
| | - Yihua Li
- Department of Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Xuxu Xu
- Department of Neurosurgery, Minhang Hospital Fudan University, Shanghai, 201199, China
| | - Xiang Wu
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China
| | - Yajun Xue
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China.
| | - Guoyi Gao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- Neurotrauma Laboratory, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
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33
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Mirsajadi A, Erickson D, Alias S, Froese L, Singh Sainbhi A, Gomez A, Majumdar R, Herath I, Wilson M, Zarychanski R, Zeiler FA, Mendelson AA. Microvascular Autoregulation in Skeletal Muscle Using Near-Infrared Spectroscopy and Derivation of Optimal Mean Arterial Pressure in the ICU: Pilot Study and Comparison With Cerebral Near-Infrared Spectroscopy. Crit Care Explor 2024; 6:e1111. [PMID: 38904977 PMCID: PMC11196085 DOI: 10.1097/cce.0000000000001111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2024] Open
Abstract
IMPORTANCE Microvascular autoregulation (MA) maintains adequate tissue perfusion over a range of arterial blood pressure (ABP) and is frequently impaired in critical illness. MA has been studied in the brain to derive personalized hemodynamic targets after brain injury. The ability to measure MA in other organs is not known, which may inform individualized management during shock. OBJECTIVES This study determines the feasibility of measuring MA in skeletal muscle using near-infrared spectroscopy (NIRS) as a marker of tissue perfusion, the derivation of optimal mean arterial pressure (MAPopt), and comparison with indices from the brain. DESIGN Prospective observational study. SETTING Medical and surgical ICU in a tertiary academic hospital. PARTICIPANTS Adult critically ill patients requiring vasoactive support on the first day of ICU admission. MAIN OUTCOMES AND MEASURES Fifteen critically ill patients were enrolled. NIRS was applied simultaneously to skeletal muscle (brachioradialis) and brain (frontal cortex) while ABP was measured continuously via invasive catheter. MA correlation indices were calculated between ABP and NIRS from skeletal muscle total hemoglobin (MVx), muscle tissue saturation index (MOx), brain total hemoglobin (THx), and brain tissue saturation index (COx). Curve fitting algorithms derive the MAP with the lowest correlation index value, which is the MAPopt. RESULTS MAPopt values were successfully calculated for each correlation index for all patients and were frequently (77%) above 65 mm Hg. For all correlation indices, median time was substantially above impaired MA threshold (24.5-34.9%) and below target MAPopt (9.0-78.6%). Muscle and brain MAPopt show moderate correlation (MVx-THx r = 0.76, p < 0.001; MOx-COx r = 0.69, p = 0.005), with a median difference of -1.27 mm Hg (-9.85 to -0.18 mm Hg) and 0.05 mm Hg (-7.05 to 2.68 mm Hg). CONCLUSIONS AND RELEVANCE This study demonstrates, for the first time, the feasibility of calculating MA indices and MAPopt in skeletal muscle using NIRS. Future studies should explore the association between impaired skeletal muscle MA, ICU outcomes, and organ-specific differences in MA and MAPopt thresholds.
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Affiliation(s)
- Amirali Mirsajadi
- Department of Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Dustin Erickson
- Section of Critical Care Medicine, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Soumya Alias
- Section of Critical Care Medicine, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Logan Froese
- Department of Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Amanjyot Singh Sainbhi
- Department of Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Alwyn Gomez
- Division of Neurosurgery, Department of Surgery, University of Manitoba, Winnipeg, MB, Canada
- Department of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, MB, Canada
| | - Raju Majumdar
- Section of Critical Care Medicine, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Isuru Herath
- Department of Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Maggie Wilson
- Section of Critical Care Medicine, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Ryan Zarychanski
- Section of Critical Care Medicine, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
- Department of Medical Oncology and Hematology, University of Manitoba/CancerCare Manitoba, Winnipeg, MB, Canada
| | - Frederick A. Zeiler
- Department of Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Division of Neurosurgery, Department of Surgery, University of Manitoba, Winnipeg, MB, Canada
- Department of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, MB, Canada
- Pan Am Clinic Foundation, Winnipeg, MB, Canada
| | - Asher A. Mendelson
- Department of Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Section of Critical Care Medicine, Department of Medicine, University of Manitoba, Winnipeg, MB, Canada
- Department of Physiology, University of Manitoba, Winnipeg, MB, Canada
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Srichawla BS. Future of neurocritical care: Integrating neurophysics, multimodal monitoring, and machine learning. World J Crit Care Med 2024; 13:91397. [PMID: 38855276 PMCID: PMC11155497 DOI: 10.5492/wjccm.v13.i2.91397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/27/2024] [Accepted: 03/06/2024] [Indexed: 06/03/2024] Open
Abstract
Multimodal monitoring (MMM) in the intensive care unit (ICU) has become increasingly sophisticated with the integration of neurophysical principles. However, the challenge remains to select and interpret the most appropriate combination of neuromonitoring modalities to optimize patient outcomes. This manuscript reviewed current neuromonitoring tools, focusing on intracranial pressure, cerebral electrical activity, metabolism, and invasive and noninvasive autoregulation monitoring. In addition, the integration of advanced machine learning and data science tools within the ICU were discussed. Invasive monitoring includes analysis of intracranial pressure waveforms, jugular venous oximetry, monitoring of brain tissue oxygenation, thermal diffusion flowmetry, electrocorticography, depth electroencephalography, and cerebral microdialysis. Noninvasive measures include transcranial Doppler, tympanic membrane displacement, near-infrared spectroscopy, optic nerve sheath diameter, positron emission tomography, and systemic hemodynamic monitoring including heart rate variability analysis. The neurophysical basis and clinical relevance of each method within the ICU setting were examined. Machine learning algorithms have shown promise by helping to analyze and interpret data in real time from continuous MMM tools, helping clinicians make more accurate and timely decisions. These algorithms can integrate diverse data streams to generate predictive models for patient outcomes and optimize treatment strategies. MMM, grounded in neurophysics, offers a more nuanced understanding of cerebral physiology and disease in the ICU. Although each modality has its strengths and limitations, its integrated use, especially in combination with machine learning algorithms, can offer invaluable information for individualized patient care.
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Affiliation(s)
- Bahadar S Srichawla
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
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Ridha M, Megjhani M, Nametz D, Kwon SB, Velazquez A, Ghoshal S, Agarwal S, Claassen J, Roh DJ, Sander Connolly E, Park S. Suboptimal Cerebral Perfusion is Associated with Ischemia After Intracerebral Hemorrhage. Neurocrit Care 2024; 40:996-1005. [PMID: 37957418 PMCID: PMC11089072 DOI: 10.1007/s12028-023-01863-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 09/12/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Remote ischemic lesions on diffusion-weighted imaging (DWI) occur in one third of patients with intracerebral hemorrhage (ICH) and are associated with worse outcomes. The etiology is unclear and not solely due to blood pressure reduction. We hypothesized that impaired cerebrovascular autoregulation and hypoperfusion below individualized lower limits of autoregulation are associated with the presence of DWI lesions. METHODS This was a retrospective, single-center study of all primary ICH with intraparenchymal pressure monitoring within 10 days from onset and subsequent magnetic resonance imaging. Pressure reactivity index was calculated as the correlation coefficient between mean arterial pressure and intracranial pressure. Optimal cerebral perfusion pressure (CPPopt) is the cerebral perfusion pressure (CPP) with the lowest corresponding pressure reactivity index. The difference between CPP and CPPopt, time spent below the lower limit of autoregulation (LLA), and time spent above the upper limit of autoregulation (ULA) were calculated by using mean hourly physiologic data. Univariate associations between physiologic parameters and DWI lesions were analyzed by using binary logistic regression. RESULTS A total of 505 h of artifact-free data from seven patients without DWI lesions and 479 h from six patients with DWI lesions were analyzed. Patients with DWI lesions had higher intracranial pressure (17.50 vs. 10.92 mm Hg; odds ratio 1.14, confidence interval 1.01-1.29) but no difference in mean arterial pressure or CPP compared with patients without DWI lesions. The presence of DWI lesions was significantly associated with a greater percentage of time spent below the LLA (49.85% vs. 14.70%, odds ratio 5.77, confidence interval 1.88-17.75). No significant association was demonstrated between CPPopt, the difference between CPP and CPPopt, ULA, LLA, or time spent above the ULA between groups. CONCLUSIONS Blood pressure reduction below the LLA is associated with ischemia after acute ICH. Individualized, autoregulation-informed targets for blood pressure reduction may provide a novel paradigm in acute management of ICH and require further study.
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Affiliation(s)
- Mohamed Ridha
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA.
- Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
| | - Murad Megjhani
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Daniel Nametz
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Soon Bin Kwon
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Angela Velazquez
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
| | - Shivani Ghoshal
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, NY, USA
| | - Sachin Agarwal
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, NY, USA
| | - Jan Claassen
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, NY, USA
| | - David J Roh
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, NY, USA
| | - E Sander Connolly
- NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurosurgery, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Soojin Park
- Division of Hospital and Critical Care Neurology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, 177 Fort Washington Ave, 8GS Milstein, New York, NY, 10032, USA
- Program for Hospital and Intensive Care Informatics, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, NY, USA
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
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Vitt JR, Mainali S. Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients. Semin Neurol 2024; 44:342-356. [PMID: 38569520 DOI: 10.1055/s-0044-1785504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for significant strides in patient diagnosis, treatment, and prognostication in neurocritical care. These technologies offer the potential to unravel complex patterns within vast datasets ranging from vast clinical data and EEG (electroencephalogram) readings to advanced cerebral imaging facilitating a more nuanced understanding of patient conditions. Despite their promise, the implementation of AI and ML faces substantial hurdles. Historical biases within training data, the challenge of interpreting multifaceted data streams, and the "black box" nature of ML algorithms present barriers to widespread clinical adoption. Moreover, ethical considerations around data privacy and the need for transparent, explainable models remain paramount to ensure trust and efficacy in clinical decision-making.This article reflects on the emergence of AI and ML as integral tools in neurocritical care, discussing their roles from the perspective of both their scientific promise and the associated challenges. We underscore the importance of extensive validation in diverse clinical settings to ensure the generalizability of ML models, particularly considering their potential to inform critical medical decisions such as withdrawal of life-sustaining therapies. Advancement in computational capabilities is essential for implementing ML in clinical settings, allowing for real-time analysis and decision support at the point of care. As AI and ML are poised to become commonplace in clinical practice, it is incumbent upon health care professionals to understand and oversee these technologies, ensuring they adhere to the highest safety standards and contribute to the realization of personalized medicine. This engagement will be pivotal in integrating AI and ML into patient care, optimizing outcomes in neurocritical care through informed and data-driven decision-making.
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Affiliation(s)
- Jeffrey R Vitt
- Department of Neurological Surgery, UC Davis Medical Center, Sacramento, California
| | - Shraddha Mainali
- Department of Neurology, Virginia Commonwealth University, Richmond, Virginia
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Stein KY, Amenta F, Froese L, Gomez A, Sainbhi AS, Vakitbilir N, Ibrahim Y, Islam A, Bergmann T, Marquez I, Zeiler FA. Associations Between Intracranial Pressure Extremes and Continuous Metrics of Cerebrovascular Pressure Reactivity in Acute Traumatic Neural Injury: A Scoping Review. Neurotrauma Rep 2024; 5:483-496. [PMID: 39036433 PMCID: PMC11257139 DOI: 10.1089/neur.2023.0115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2024] Open
Abstract
Cerebrovascular pressure reactivity plays a key role in maintaining constant cerebral blood flow. Unfortunately, this mechanism is often impaired in acute traumatic neural injury states, exposing the already injured brain to further pressure-passive insults. While there has been much work on the association between impaired cerebrovascular reactivity following moderate/severe traumatic brain injury (TBI) and worse long-term outcomes, there is yet to be a comprehensive review on the association between cerebrovascular pressure reactivity and intracranial pressure (ICP) extremes. Therefore, we conducted a systematic review of the literature for all studies presenting a quantifiable statistical association between a continuous measure of cerebrovascular pressure reactivity and ICP in a human TBI cohort. The methodology described in the Cochrane Handbook for Systematic Reviews was used. BIOSIS, Cochrane Library, EMBASE, Global Health, MEDLINE, and SCOPUS were all searched from their inceptions to March of 2023 for relevant articles. Full-length original works with a sample size of ≥10 patients with moderate/severe TBI were included in this review. Data were reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A total of 16 articles were included in this review. Studies varied in population characteristics and statistical tests used. Five studies looked at transcranial Doppler-based indices and 13 looked at ICP-based indices. All but two studies were able to present a statistically significant association between cerebrovascular pressure reactivity and ICP. Based on the findings of this review, impaired reactivity seems to be associated with elevated ICP and reduced ICP waveform complexity. This relationship may allow for the calculation of patient-specific ICP thresholds, past which cerebrovascular reactivity becomes persistently deranged. However, further work is required to better understand this relationship and improve algorithmic derivation of such individualized ICP thresholds.
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Affiliation(s)
- Kevin Y. Stein
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Fiorella Amenta
- Undergraduate Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Logan Froese
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Alwyn Gomez
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Amanjyot Singh Sainbhi
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Nuray Vakitbilir
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Younis Ibrahim
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Abrar Islam
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Tobias Bergmann
- Undergraduate Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Izabella Marquez
- Undergraduate Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Frederick A. Zeiler
- Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Division of Anaesthesia, Department of Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
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Carlson AP, Jones T, Zhu Y, Desai M, Alsarah A, Shuttleworth CW. Oxygen-based autoregulation indices associated with clinical outcomes and spreading depolarization in aSAH. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.17.24307563. [PMID: 38798620 PMCID: PMC11118627 DOI: 10.1101/2024.05.17.24307563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Background Impairment in cerebral autoregulation has been proposed as a potentially targetable factor in patients with aneurysmal subarachnoid hemorrhage (aSAH), however there are different continuous measures that can be used to calculate the state of autoregulation. In addition, it has previously been proposed that there may be an association of impaired autoregulation with the occurrence of spreading depolarization (SD) events. Methods Subjects with invasive multimodal monitoring and aSAH were enrolled in an observational study. Autoregulation indices were prospectively calculated from this database as a 10 second moving correlation coefficient between various cerebral blood flow (CBF) surrogates and mean arterial pressure (MAP). In subjects with subdural ECoG (electrocorticography) monitoring, SD was also scored. Associations between clinical outcomes using the mRS (modified Rankin Scale) and occurrence of either isolated or clustered SD was assessed. Results 320 subjects were included, 47 of whom also had ECoG SD monitoring. As expected, baseline severity factors such as mFS and WFNS (World Federation of Neurosurgical Societies scale) were strongly associated with the clinical outcome. SD probability was related to blood pressure in a triphasic pattern with a linear increase in probability below MAP of ∼100mmHg.Autoregulation indices were available for intracranial pressure (ICP) measurements (PRx), PbtO2 from Licox (ORx), perfusion from the Bowman perfusion probe (CBFRx), and cerebral oxygen saturation measured by near infrared spectroscopy (OSRx). Only worse ORx and OSRx were associated with worse clinical outcomes. ORx and OSRx also were found to both increase in the hour prior to SD for both sporadic and clustered SD. Conclusions Impairment in autoregulation in aSAH is associated with worse clinical outcomes and occurrence of SD when using ORx and OSRx. Impaired autoregulation precedes SD occurrence. Targeting the optimal MAP or cerebral perfusion pressure in patients with aSAH should use ORx and/or OSRx as the input function rather than intracranial pressure.
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Velle F, Lewén A, Howells T, Hånell A, Nilsson P, Enblad P. The effects of cerebral pressure autoregulation status and CPP levels on cerebral metabolism in pediatric traumatic brain injury. Acta Neurochir (Wien) 2024; 166:190. [PMID: 38653934 PMCID: PMC11039531 DOI: 10.1007/s00701-024-06085-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Cerebral perfusion pressure (CPP) management in the developing child with traumatic brain injury (TBI) is challenging. The pressure reactivity index (PRx) may serve as marker of cerebral pressure autoregulation (CPA) and optimal CPP (CPPopt) may be assessed by identifying the CPP level with best (lowest) PRx. To evaluate the potential of CPPopt guided management in children with severe TBI, cerebral microdialysis (CMD) monitoring levels of lactate and the lactate/pyruvate ratio (LPR) (indicators of ischemia) were related to actual CPP levels, autoregulatory state (PRx) and deviations from CPPopt (ΔCPPopt). METHODS Retrospective study of 21 children ≤ 17 years with severe TBI who had both ICP and CMD monitoring were included. CPP, PRx, CPPopt and ΔCPPopt where calculated, dichotomized and compared with CMD lactate and lactate-pyruvate ratio. RESULTS Median age was 16 years (range 8-17) and median Glasgow coma scale motor score 5 (range 2-5). Both lactate (p = 0.010) and LPR (p = < 0.001) were higher when CPP ≥ 70 mmHg than when CPP < 70. When PRx ≥ 0.1 both lactate and LPR were higher than when PRx < 0.1 (p = < 0.001). LPR was lower (p = 0.012) when CPPopt ≥ 70 mmHg than when CPPopt < 70, but there were no differences in lactate levels. When ΔCPPopt > 10 both lactate (p = 0.026) and LPR (p = 0.002) were higher than when ΔCPPopt < -10. CONCLUSIONS Increased levels of CMD lactate and LPR in children with severe TBI appears to be related to disturbed CPA (PRx). Increased lactate and LPR also seems to be associated with actual CPP levels ≥ 70 mmHg. However, higher lactate and LPR values were also seen when actual CPP was above CPPopt. Higher CPP appears harmful when CPP is above the upper limit of pressure autoregulation. The findings indicate that CPPopt guided CPP management may have potential in pediatric TBI.
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Affiliation(s)
- Fartein Velle
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University Hospital, Uppsala University, SE 751 85, Uppsala, Sweden.
| | - Anders Lewén
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University Hospital, Uppsala University, SE 751 85, Uppsala, Sweden
| | - Tim Howells
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University Hospital, Uppsala University, SE 751 85, Uppsala, Sweden
| | - Anders Hånell
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University Hospital, Uppsala University, SE 751 85, Uppsala, Sweden
| | - Pelle Nilsson
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University Hospital, Uppsala University, SE 751 85, Uppsala, Sweden
| | - Per Enblad
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University Hospital, Uppsala University, SE 751 85, Uppsala, Sweden
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Rodriguez EE, Zaccarelli M, Sterchele ED, Taccone FS. "NeuroVanguard": a contemporary strategy in neuromonitoring for severe adult brain injury patients. Crit Care 2024; 28:104. [PMID: 38561829 PMCID: PMC10985991 DOI: 10.1186/s13054-024-04893-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024] Open
Abstract
Severe acute brain injuries, stemming from trauma, ischemia or hemorrhage, remain a significant global healthcare concern due to their association with high morbidity and mortality rates. Accurate assessment of secondary brain injuries severity is pivotal for tailor adequate therapies in such patients. Together with neurological examination and brain imaging, monitoring of systemic secondary brain injuries is relatively straightforward and should be implemented in all patients, according to local resources. Cerebral secondary injuries involve factors like brain compliance loss, tissue hypoxia, seizures, metabolic disturbances and neuroinflammation. In this viewpoint, we have considered the combination of specific noninvasive and invasive monitoring tools to better understand the mechanisms behind the occurrence of these events and enhance treatment customization, such as intracranial pressure monitoring, brain oxygenation assessment and metabolic monitoring. These tools enable precise intervention, contributing to improved care quality for severe brain injury patients. The future entails more sophisticated technologies, necessitating knowledge, interdisciplinary collaboration and resource allocation, with a focus on patient-centered care and rigorous validation through clinical trials.
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Affiliation(s)
- Edith Elianna Rodriguez
- Department of Intensive Care, Hopital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
- School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Mario Zaccarelli
- Department of Intensive Care, Hopital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
- School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
| | - Elda Diletta Sterchele
- Department of Intensive Care, Hopital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
- School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
- Terapia Intensiva e del Dolore, Scuola di Anestesia Rianimazione, Università degli Studi di Milano, Milan, Italy
| | - Fabio Silvio Taccone
- Department of Intensive Care, Hopital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium.
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Vanelderen F, Bruyninckx D, Depreitere B. Is age or cardiovascular comorbidity the main predictor of reduced cerebrovascular pressure reactivity in older patients with traumatic brain injury? BRAIN & SPINE 2024; 4:102799. [PMID: 38681173 PMCID: PMC11052909 DOI: 10.1016/j.bas.2024.102799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/26/2024] [Accepted: 03/31/2024] [Indexed: 05/01/2024]
Abstract
Introduction The Pressure Reactivity index (PRx) has been proposed as a surrogate measure for cerebrovascular autoregulation (CA) and it has been described that older age is associated with worse PRx. The etiology for this reduced capacity remains unknown. Research question To investigate the relation between age and PRx in a cohort of patients with traumatic brain injury (TBI) while correcting for cardiovascular comorbidities. Material and methods This is a retrospective analysis on prospectively collected data in 151 consecutive TBI patients between 2013 and 2023. PRx was averaged over 5 monitoring days and correlated with demographic, patient and injury data. A multiple regression analysis was performed with PRx as dependent variable and cardiovascular comorbidities, age, Glasgow motor score and pupillary reaction as independent variables. A similar model was constructed without age and compared. Results Age, sex, thromboembolic history, arterial hypertension, Glasgow motor score and pupillary reaction significantly correlated with PRx in univariate analysis. In multivariate analysis, age had a significant worsening effect on PRx (p = 0.01), while the cardiovascular risk factors and injury severity had no impact. The comparison of the models with and without age yielded a significant difference (p = 0.01), underpinning the independent effect of age. Discussion and conclusion In the present cohort study in TBI patients it was found that older age independently impaired cerebrovascular pressure reactivity regardless of cardiovascular comorbidity. Pathophysiology of TBI and physiology of ageing seem to line up to synergistically produce a negative effect on brain perfusion.
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Stein KY, Froese L, Sekhon M, Griesdale D, Thelin EP, Raj R, Tas J, Aries M, Gallagher C, Bernard F, Gomez A, Kramer AH, Zeiler FA. Intracranial Pressure-Derived Cerebrovascular Reactivity Indices and Their Critical Thresholds: A Canadian High Resolution-Traumatic Brain Injury Validation Study. J Neurotrauma 2024; 41:910-923. [PMID: 37861325 DOI: 10.1089/neu.2023.0374] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
Current neurointensive care guidelines recommend intracranial pressure (ICP) and cerebral perfusion pressure (CPP) centered management for moderate-severe traumatic brain injury (TBI) because of their demonstrated associations with patient outcome. Cerebrovascular reactivity metrics, such as the pressure reactivity index (PRx), pulse amplitude index (PAx), and RAC index, have also demonstrated significant prognostic capabilities with regard to outcome. However, critical thresholds for cerebrovascular reactivity indices have only been identified in two studies conducted at the same center. In this study, we aim to determine the critical thresholds of these metrics by leveraging a unique multi-center database. The study included a total of 354 patients from the CAnadian High-Resolution TBI (CAHR-TBI) Research Collaborative. Based on 6-month Glasgow Outcome Scores, patients were dichotomized into alive versus dead and favorable versus unfavorable. Chi-square values were then computed for incrementally increasing values of each physiological parameter of interest against outcome. The values that generated the greatest chi-squares for each parameter were considered to be the thresholds with the greatest outcome discriminatory capacity. To confirm that the identified thresholds provide prognostic utility, univariate and multivariable logistical regression analyses were performed adjusting for the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) variables. Through the chi-square analysis, a lower limit CPP threshold of 60 mm Hg and ICP thresholds of 18 mm Hg and 22 mm Hg were identified for both survival and favorable outcome predictions. For the cerebrovascular reactivity metrics, different thresholds were identified for the two outcome dichotomizations. For survival prediction, thresholds of 0.35, 0.25, and 0 were identified for PRx, PAx, and RAC, respectively. For favorable outcome prediction, thresholds of 0.325, 0.20, and 0.05 were found. Univariate logistical regression analysis demonstrated that the time spent above/below thresholds were associated with outcome. Further, multivariable logistical regression analysis found that percent time above/below the identified thresholds added additional variance to the IMPACT core model for predicting both survival and favorable outcome. In this study, we were able to validate the results of the previous two works as well as to reaffirm the ICP and CPP guidelines from the Brain Trauma Foundation (BTF) and the Seattle International Severe Traumatic Brain Injury Consensus Conference (SIBICC).
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Affiliation(s)
- Kevin Y Stein
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Logan Froese
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Mypinder Sekhon
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Donald Griesdale
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Eric P Thelin
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Rahul Raj
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jeanette Tas
- Department of Intensive Care, Maastricht University Medical Center+, and School of Mental Health and Neurosciences, University Maastricht, Maastricht, The Netherlands
| | - Marcel Aries
- Department of Intensive Care, Maastricht University Medical Center+, and School of Mental Health and Neurosciences, University Maastricht, Maastricht, The Netherlands
| | - Clare Gallagher
- Section of Neurosurgery, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Francis Bernard
- Section of Critical Care, Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Alwyn Gomez
- Department of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, Manitoba, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Andreas H Kramer
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Frederick A Zeiler
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, Manitoba, Canada
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Centre on Aging, University of Manitoba, Winnipeg, Manitoba, Canada
- Division of Anaesthesia, Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
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Beqiri E, Placek MM, Chu KH, Donnelly J, Cucciolini G, Motroni V, Smith CA, Czosnyka M, Hutchinson P, Smielewski P. Exploration of uncertainty of PRx time trends. BRAIN & SPINE 2024; 4:102795. [PMID: 38601774 PMCID: PMC11004690 DOI: 10.1016/j.bas.2024.102795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 03/26/2024] [Accepted: 03/30/2024] [Indexed: 04/12/2024]
Abstract
Introduction PRx can be used as surrogate measure of Cerebral Autoregulation (CA) in traumatic brain injury (TBI) patients. PRx can provide means for individualising cerebral perfusion pressure (CPP) targets, such as CPPopt. However, a recent Delphi consensus of clinicians concluded that consensus could not be reached on the accuracy, reliability, and validation of any current CA assessment method. Research question We aimed to quantify the short-term uncertainty of PRx time-trends and to relate this to other physiological measurements. Material and methods Intracranial pressure (ICP), arterial blood pressure (ABP), end-tidal CO2 (EtCO2) high-resolution recordings of 911 TBI patients were processed with ICM + software. Hourly values of metrics that describe the variability within modalities derived from ABP, ICP and EtCO2, were calculated for the first 24h of neuromonitoring. Generalized additive models were used to describe the time trend of the variability in PRx. Linear correlations were studied for describing the relationship between PRx variability and the other physiological modalities. Results The time profile of variability of PRx decreases over the first 12h and was higher for average PRx ∼0. Increased variability of PRx was not linearly linked with average ABP, ICP, or CPP. For coherence between slow waves of ABP and ICP >0.7, the variability in PRx decreased (R = -0.47, p < 0.001). Discussion and conclusion PRx is a highly variable parameter. PRx short-term dispersion was not related to average ICP, ABP or CPP. The determinants of uncertainty of PRx should be investigated to improve reliability of individualised CA assessment in TBI patients.
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Affiliation(s)
- Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - Michal M. Placek
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
- Neurosurgery Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Ka Hing Chu
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - Joseph Donnelly
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
- Department of Medicine, University of Auckland, New Zealand
| | - Giada Cucciolini
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
- Neurosurgery Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Medicine, University of Auckland, New Zealand
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Italy
| | - Virginia Motroni
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - Claudia A. Smith
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - Marek Czosnyka
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - Peter Hutchinson
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
- Neurosurgery Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, United Kingdom
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Gomez A, Marquez I, Froese L, Bergmann T, Sainbhi AS, Vakitbilir N, Islam A, Stein KY, Ibrahim Y, Zeiler FA. Near-Infrared Spectroscopy Regional Oxygen Saturation Based Cerebrovascular Reactivity Assessments in Chronic Traumatic Neural Injury versus in Health: A Prospective Cohort Study. Bioengineering (Basel) 2024; 11:310. [PMID: 38671733 PMCID: PMC11047915 DOI: 10.3390/bioengineering11040310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/28/2024] Open
Abstract
Near-infrared spectroscopy (NIRS) regional cerebral oxygen saturation (rSO2)-based cerebrovascular reactivity (CVR) monitoring has enabled entirely non-invasive, continuous monitoring during both acute and long-term phases of care. To date, long-term post-injury CVR has not been properly characterized after acute traumatic neural injury, also known as traumatic brain injury (TBI). This study aims to compare CVR in those recovering from moderate-to-severe TBI with a healthy control group. A total of 101 heathy subjects were recruited for this study, along with 29 TBI patients. In the healthy cohort, the arterial blood pressure variant of the cerebral oxygen index (COx_a) was not statistically different between males and females or in the dominant and non-dominant hemispheres. In the TBI cohort, COx_a was not statistically different between the first and last available follow-up or by the side of cranial surgery. Surprisingly, CVR, as measured by COx_a, was statistically better in those recovering from TBI than those in the healthy cohort. In this prospective cohort study, CVR, as measured by NIRS-based methods, was found to be more active in those recovering from TBI than in the healthy cohort. This study may indicate that in individuals that survive TBI, CVR may be enhanced as a neuroprotective measure.
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Affiliation(s)
- Alwyn Gomez
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
| | - Izabella Marquez
- Department of Biosystems Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Logan Froese
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Tobias Bergmann
- Department of Biosystems Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Amanjyot Singh Sainbhi
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Nuray Vakitbilir
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Abrar Islam
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Kevin Y. Stein
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
- Undergraduate Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
| | - Younis Ibrahim
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
| | - Frederick A. Zeiler
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W2, Canada
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
- Centre on Aging, Fort Garry Campus, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
- Division of Anaesthesia, Department of Medicine, Addenbrooke’s Hospital, University of Cambridge, Cambridge CB2 0QQ, UK
- Department of Clinical Neurosciences, Karolinksa Institutet, 171 77 Stockholm, Sweden
- Pan Am Clinic Foundation, Winnipeg, MB R3M 3E4, Canada
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45
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Gomez A, Froese L, Griesdale D, Thelin EP, Raj R, van Iperenburg L, Tas J, Aries M, Stein KY, Gallagher C, Bernard F, Kramer AH, Zeiler FA. Prognostic value of near-infrared spectroscopy regional oxygen saturation and cerebrovascular reactivity index in acute traumatic neural injury: a CAnadian High-Resolution Traumatic Brain Injury (CAHR-TBI) Cohort Study. Crit Care 2024; 28:78. [PMID: 38486211 PMCID: PMC10938687 DOI: 10.1186/s13054-024-04859-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/02/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Near-infrared spectroscopy regional cerebral oxygen saturation (rSO2) has gained interest as a raw parameter and as a basis for measuring cerebrovascular reactivity (CVR) due to its noninvasive nature and high spatial resolution. However, the prognostic utility of these parameters has not yet been determined. This study aimed to identify threshold values of rSO2 and rSO2-based CVR at which outcomes worsened following traumatic brain injury (TBI). METHODS A retrospective multi-institutional cohort study was performed. The cohort included TBI patients treated in four adult intensive care units (ICU). The cerebral oxygen indices, COx (using rSO2 and cerebral perfusion pressure) as well as COx_a (using rSO2 and arterial blood pressure) were calculated for each patient. Grand mean thresholds along with exposure-based thresholds were determined utilizing sequential chi-squared analysis and univariate logistic regression, respectively. RESULTS In the cohort of 129 patients, there was no identifiable threshold for raw rSO2 at which outcomes were found to worsen. For both COx and COx_a, an optimal grand mean threshold value of 0.2 was identified for both survival and favorable outcomes, while percent time above - 0.05 was uniformly found to have the best discriminative value. CONCLUSIONS In this multi-institutional cohort study, raw rSO2was found to contain no significant prognostic information. However, rSO2-based indices of CVR, COx and COx_a, were found to have a uniform grand mean threshold of 0.2 and exposure-based threshold of - 0.05, above which clinical outcomes markedly worsened. This study lays the groundwork to transition to less invasive means of continuously measuring CVR.
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Affiliation(s)
- Alwyn Gomez
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
| | - Logan Froese
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Donald Griesdale
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada
| | - Eric P Thelin
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Rahul Raj
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Levi van Iperenburg
- Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
- School of Mental Health and Neurosciences, University Maastricht, Maastricht, The Netherlands
| | - Jeanette Tas
- Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
- School of Mental Health and Neurosciences, University Maastricht, Maastricht, The Netherlands
| | - Marcel Aries
- Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands
- School of Mental Health and Neurosciences, University Maastricht, Maastricht, The Netherlands
| | - Kevin Y Stein
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Clare Gallagher
- Section of Neurosurgery, Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Francis Bernard
- Section of Critical Care, Department of Medicine, University of Montreal, Montreal, QC, Canada
| | - Andreas H Kramer
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Critical Care Medicine, University of Calgary, Calgary, AB, Canada
| | - Frederick A Zeiler
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Centre on Aging, University of Manitoba, Winnipeg, Canada
- Division of Anaesthesia, Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
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Donnelly J, Beqiri E, Zeiler FA, Smielewski P, Czosnyka M. Secondary insults prevalence, co-occurrence and relationship with outcome after severe TBI. BRAIN & SPINE 2024; 4:102764. [PMID: 39776673 PMCID: PMC11703777 DOI: 10.1016/j.bas.2024.102764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 01/28/2024] [Accepted: 02/12/2024] [Indexed: 01/11/2025]
Abstract
Introduction Secondary insults due to high intracranial pressure (ICP), low cerebral perfusion pressure (CPP) and impaired cerebral pressure reactivity (PRx) predict outcome after severe traumatic brain injury (TBI). Research question What is the prevalence, co-occurrence and prognostic importance of secondary insults due to deranged ICP, CPP or PRx after TBI. Material and methods Severe TBI patients requiring ICP monitoring were included. Secondary insults due to ICP, PRx, and CPP were defined as having at least 1 h with a mean value above (or below for CPP) a respective threshold (ICP 20, CPP 60, and PRx 0.25). Percentage time with isolated or co-occurring insults was calculated (impaired ICP only, CPP only, PRx only, ICP and PRx, ICP and CPP, CPP and PRx, ICP CPP and PRx). Prognostic importance for mortality was assessed using a logistic regression model. Results 822 patients were included of which 76% had elevated ICP, 92% had disturbed pressure reactivity and 55% had low CPP for at least an hour. Out of the total 115,459 h, 46,111 (40%) were spent with at least one variable within the defined secondary injury range. Odds ratios for mortality were greater for combined (impaired ICP, CPP and PRx OR 1.17 95%CI 1.09 to 1.28) than isolated insults (impaired ICP only OR 1.01 95%CI 1.00-1.02, impaired CPP only 1.00 95%CI 0.95-1.05). Discussion and conclusion ICP and autoregulation insults are common after TBI and often occur independently. Concurrent ICP, CPP and PRx insults portend worse prognosis than when a single variable is deranged.
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Affiliation(s)
- Joseph Donnelly
- Brain Physics Laboratory Division of Neurosurgery Department of Clinical Neurosciences, University of Cambridge, UK
- Department of Neurology, Auckland City Hospital, New Zealand
- Manaaki Manawa—The Centre for Heart Research, University of Auckland, Auckland, New Zealand
| | - Erta Beqiri
- Brain Physics Laboratory Division of Neurosurgery Department of Clinical Neurosciences, University of Cambridge, UK
| | - Frederick A. Zeiler
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Canada
- Department of Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Canada
- Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Canada
- Division of Anaesthesia, Department of Medicine, Addenbrooke’s Hospital, University of Cambridge, UK
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Peter Smielewski
- Brain Physics Laboratory Division of Neurosurgery Department of Clinical Neurosciences, University of Cambridge, UK
| | - Marek Czosnyka
- Brain Physics Laboratory Division of Neurosurgery Department of Clinical Neurosciences, University of Cambridge, UK
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Roldan M, Abay TY, Uff C, Kyriacou PA. A pilot clinical study to estimate intracranial pressure utilising cerebral photoplethysmograms in traumatic brain injury patients. Acta Neurochir (Wien) 2024; 166:109. [PMID: 38409283 PMCID: PMC10896864 DOI: 10.1007/s00701-024-06002-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 02/03/2024] [Indexed: 02/28/2024]
Abstract
PURPOSE In this research, a non-invasive intracranial pressure (nICP) optical sensor was developed and evaluated in a clinical pilot study. The technology relied on infrared light to probe brain tissue, using photodetectors to capture backscattered light modulated by vascular pulsations within the brain's vascular tissue. The underlying hypothesis was that changes in extramural arterial pressure could affect the morphology of recorded optical signals (photoplethysmograms, or PPGs), and analysing these signals with a custom algorithm could enable the non-invasive calculation of intracranial pressure (nICP). METHODS This pilot study was the first to evaluate the nICP probe alongside invasive ICP monitoring as a gold standard. nICP monitoring occurred in 40 patients undergoing invasive ICP monitoring, with data randomly split for machine learning. Quality PPG signals were extracted and analysed for time-based features. The study employed Bland-Altman analysis and ROC curve calculations to assess nICP accuracy compared to invasive ICP data. RESULTS Successful acquisition of cerebral PPG signals from traumatic brain injury (TBI) patients allowed for the development of a bagging tree model to estimate nICP non-invasively. The nICP estimation exhibited 95% limits of agreement of 3.8 mmHg with minimal bias and a correlation of 0.8254 with invasive ICP monitoring. ROC curve analysis showed strong diagnostic capability with 80% sensitivity and 89% specificity. CONCLUSION The clinical evaluation of this innovative optical nICP sensor revealed its ability to estimate ICP non-invasively with acceptable and clinically useful accuracy. This breakthrough opens the door to further technological refinement and larger-scale clinical studies in the future. TRIAL REGISTRATION NCT05632302, 11th November 2022, retrospectively registered.
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Affiliation(s)
- Maria Roldan
- Research Centre for Biomedical Engineering, School of Science & Technology, University of London, London, EC1V 0HB, UK.
| | - Tomas Ysehak Abay
- Research Centre for Biomedical Engineering, School of Science & Technology, University of London, London, EC1V 0HB, UK
| | - Christopher Uff
- Barts Health NHS Trust: Royal London Hospital, E1 1BB, London, UK
| | - Panayiotis A Kyriacou
- Research Centre for Biomedical Engineering, School of Science & Technology, University of London, London, EC1V 0HB, UK
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Riparbelli AC, Capion T, Møller K, Mathiesen TI, Olsen MH, Forsse A. Critical ICP thresholds in relation to outcome: Is 22 mmHg really the answer? Acta Neurochir (Wien) 2024; 166:63. [PMID: 38315234 PMCID: PMC10844356 DOI: 10.1007/s00701-024-05929-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024]
Abstract
PURPOSE Intensive care for patients with traumatic brain injury (TBI) aims, among other tasks, at avoiding high intracranial pressure (ICP), which is perceived to worsen motor and cognitive deficits and increase mortality. International recommendations for threshold values for ICP were increased from 20 to 22 mmHg in 2016 following the findings in a study by Sorrentino et al., which were based on an observational study of patients with TBI of averaged ICP values. We aimed to reproduce their approach and validate the findings in a separate cohort. METHODS Three hundred thirty-one patients with TBI were included and categorised according to survival/death and favourable/unfavourable outcome at 6 months (based on Glasgow Outcome Score-Extended of 6-8 and 1-5, respectively). Repeated chi-square tests of survival and death (or favourable and unfavourable outcome) vs. high and low ICP were conducted with discrimination between high and low ICP sets at increasing values (integers) between 10 and 35 mmHg, using the average ICP for the entire monitoring period. The ICP limit returning the highest chi-square score was assumed to be the threshold with best discriminative ability. This approach was repeated after stratification by sex, age, and initial Glasgow Coma Score (GCS). RESULTS An ICP limit of 18 mmHg was found for both mortality and unfavourable outcome for the entire cohort. The female and the low GCS subgroups both had threshold values of 18 mmHg; for all other subgroups, the threshold varied between 16 and 30 mmHg. According to a multiple logistic regression analysis, age, initial GCS, and average ICP are independently associated with mortality and outcome. CONCLUSIONS Using identical methods and closely comparable cohorts, the critical thresholds for ICP found in the study by Sorrentino et al. could not be reproduced.
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Affiliation(s)
- Agnes C Riparbelli
- Department of Neurosurgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
| | - Tenna Capion
- Department of Neurosurgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Kirsten Møller
- Department of Neuroanesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences SUND, University of Copenhagen, Copenhagen, Denmark
| | - Tiit I Mathiesen
- Department of Neurosurgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences SUND, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Markus H Olsen
- Department of Neuroanesthesiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Axel Forsse
- Department of Neurosurgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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Agrawal S, Abecasis F, Jalloh I. Neuromonitoring in Children with Traumatic Brain Injury. Neurocrit Care 2024; 40:147-158. [PMID: 37386341 PMCID: PMC10861621 DOI: 10.1007/s12028-023-01779-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 06/05/2023] [Indexed: 07/01/2023]
Abstract
Traumatic brain injury remains a major cause of mortality and morbidity in children across the world. Current management based on international guidelines focuses on a fixed therapeutic target of less than 20 mm Hg for managing intracranial pressure and 40-50 mm Hg for cerebral perfusion pressure across the pediatric age group. To improve outcome from this complex disease, it is essential to understand the pathophysiological mechanisms responsible for disease evolution by using different monitoring tools. In this narrative review, we discuss the neuromonitoring tools available for use to help guide management of severe traumatic brain injury in children and some of the techniques that can in future help with individualizing treatment targets based on advanced cerebral physiology monitoring.
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Affiliation(s)
- Shruti Agrawal
- Department of Paediatric Intensive Care, Cambridge University Hospitals National Health Service Foundation Trust, Level 3, Box 7, Addenbrookes Hospital Hills Road, Cambridge, UK.
- University of Cambridge, Cambridge, UK.
| | - Francisco Abecasis
- Paediatric Intensive Care Unit, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
| | - Ibrahim Jalloh
- University of Cambridge, Cambridge, UK
- Department of Neurosurgery, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK
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Beqiri E, Czosnyka M, Placek MM, Cucciolini G, Motroni V, Smith CA, Hutchinson P, Smielewski P. Red solid line: Patterns of terminal loss of cerebrovascular reactivity at the bedside. BRAIN & SPINE 2024; 4:102760. [PMID: 38510604 PMCID: PMC10951796 DOI: 10.1016/j.bas.2024.102760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 01/17/2024] [Accepted: 01/21/2024] [Indexed: 03/22/2024]
Abstract
Introduction Continuous monitoring of the pressure reactivity index (PRx) provides an estimation of dynamic cerebral autoregulation (CA) at the bedside in traumatic brain injury (TBI) patients. Visualising the time-trend of PRx with a risk bar chart in ICM + software at the bedside allows for better real-time interpretability of the autoregulation status. When PRx>0.3 is sustained for long periods, typically of at least half an hour, the bar shows a pattern called "red solid line" (RSL). RSL was previously described to precede refractory intracranial hypertension and brain death. Research question We aimed to describe pathophysiological changes in measured signals/parameters during RSL. Material and methods Observation of time-trends of PRx, intracranial pressure, cerebral perfusion pressure, brain oxygenation and compensatory reserve of TBI patients with RSL. Results Three pathophysiological patterns were identified: RSL precedes intracranial hypertension, RSL is preceded by intracranial hypertension, or RSL is preceded by brain hypoperfusion. In all cases, RSL was followed by death and the RSL onset was between 1 h and 1 day before the terminal event. Discussion and conclusion RSL precedes death in intensive care and could represent a marker for terminal clinical deterioration in TBI patients. These findings warrant further investigations in larger cohorts to characterise pathophysiological mechanisms underlying the RSL pattern and whether RSL has a significant relationship with outcome after TBI.
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Affiliation(s)
- Erta Beqiri
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
| | - Marek Czosnyka
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
| | - Michal M. Placek
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
- Neurosurgery Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Giada Cucciolini
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Italy
| | - Virginia Motroni
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Italy
| | - Claudia A. Smith
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
| | - Peter Hutchinson
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
| | - Peter Smielewski
- Brain Physics Laboratory Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK
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