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Geraghty JR, Butler M, Maharathi B, Tate AJ, Lung TJ, Balasubramanian G, Testai FD, Loeb JA. Diffuse microglial responses and persistent EEG changes correlate with poor neurological outcome in a model of subarachnoid hemorrhage. Sci Rep 2024; 14:13618. [PMID: 38871799 PMCID: PMC11176397 DOI: 10.1038/s41598-024-64631-2] [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: 02/14/2024] [Accepted: 06/11/2024] [Indexed: 06/15/2024] Open
Abstract
The mechanism by which subarachnoid hemorrhage (SAH) leads to chronic neurologic deficits is unclear. One possibility is that blood activates microglia to drive inflammation that leads to synaptic loss and impaired brain function. Using the endovascular perforation model of SAH in rats, we investigated short-term effects on microglia together with long-term effects on EEG and neurologic function for up to 3 months. Within the first week, microglia were increased both at the site of injury and diffusely across the cortex (2.5-fold increase in SAH compared to controls, p = 0.012). Concomitantly, EEGs from SAH animals showed focal increases in slow wave activity and diffuse reduction in fast activity. When expressed as a fast-slow spectral ratio, there were significant interactions between group and time (p < 0.001) with less ipsilateral recovery over time. EEG changes were most pronounced during the first week and correlated with neurobehavioral impairment. In vitro, the blood product hemin was sufficient to increase microglia phagocytosis nearly six-fold (p = 0.032). Immunomodulatory treatment with fingolimod after SAH reduced microglia, improved neurological function, and increased survival. These findings, which parallel many of the EEG changes seen in patients, suggest that targeting neuroinflammation could reduce long-term neurologic dysfunction following SAH.
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Affiliation(s)
- Joseph R Geraghty
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, Philadelphia, PA, 19104, USA
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA
| | - Mitchell Butler
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA
- Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA
| | - Biswajit Maharathi
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA
- Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA
| | - Alexander J Tate
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA
- Neuroscience Doctoral Program, Medical College of Wisconsin, Suite H2200, 8701 Watertown Plank Rd, Milwaukee, WI, 53226, USA
| | - Tyler J Lung
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA
- The Ohio State University School of Medicine, 1645 Neil Ave, Columbus, OH, 43210, USA
| | - Giri Balasubramanian
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA
- Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA
| | - Fernando D Testai
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA
| | - Jeffrey A Loeb
- Department of Neurology & Rehabilitation, University of Illinois College of Medicine, 912 S Wood St, NPI Suite 174N, Chicago, IL, 60612, USA.
- Department of Neurology and Rehabilitation, University of Illinois at Chicago, NPI North Bldg., Room 657, M/C 796, 912 S. Wood Street, Chicago, IL, 60612, USA.
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Dai Z, Zhang L, Liu X, Kou M, An L, Wang W, Xu J, Su Y. Predictive Value of Quantitative Electroencephalogram Combined with Transcranial Doppler Ultrasound in Delayed Cerebral Ischemia after Subarachnoid Hemorrhage. World Neurosurg 2024; 186:e48-e53. [PMID: 38310949 DOI: 10.1016/j.wneu.2024.01.150] [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: 08/16/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
OBJECTIVE To explore the predictive value of transcranial Doppler ultrasound (TCD) combined with quantitative electroencephalogram (QEEG) in delayed cerebral ischemia (DCI) caused by aneurysmal subarachnoid hemorrhage (aSAH). METHODS The participants were 105 patients with aSAH treated from June 2020 to December 2022. Patients were divided into DCI group (n = 34) and non-DCI group (n = 71) according to the presence of DCI 14 days after onset. Further comparison was conducted on the baseline data as well as the parameters of QEEG and TCD within 24 hours after admission. Multivariate logistic analysis was performed to investigate risk factors related to DCI within 14 days of admission in aSAH patients. RESULTS There were significant differences in the comparison of the proportion of Hunt-Hess grading, relative δ power (RDP), relative α power (RAP), relative α/β power ratio (ADR), as well as peak systolic velocity (Vs), mean blood flow velocity (MBFV) and pulsatility index (PI) of middle cerebral artery between the two groups (P < 0.05). Furthermore, Logistic regression analysis revealed that ADR (odds ratio 1.668, 95% CI 1.369-4.345) and MBFV of middle cerebral artery (odds ratio 3.279, 95% CI 2.332-6.720) were risk factors for the occurrence of DCI in aSAH patients (P < 0.05). In addition, evaluation of the predictive value revealed that combined use of the 2 indicators showed the highest predictive value (area under the curve 0.959, 95% CI 0.896-0.993). CONCLUSIONS Patients with aSAH complicated by DCI have relatively higher MBFV of middle cerebral artery and ADR. Combined use of the 2 indicators can provide reference for early prediction of DCI in aSAH patients.
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Affiliation(s)
- Zhicheng Dai
- Department of Neurosurgery, The First People's Hospital of Baiyin City, Baiyin, China.
| | - Lina Zhang
- Department of Electrophysiology, The First People's Hospital of Baiyin City, Baiyin, China
| | - Xuewu Liu
- Department of Neurosurgery, The First People's Hospital of Baiyin City, Baiyin, China
| | - Minqian Kou
- Department of Electrophysiology, The First People's Hospital of Baiyin City, Baiyin, China
| | - Longfei An
- Department of Neurosurgery, The First People's Hospital of Baiyin City, Baiyin, China
| | - Wenxuan Wang
- Department of Electrophysiology, The First People's Hospital of Baiyin City, Baiyin, China
| | - Jingyuan Xu
- Department of Electrophysiology, The First People's Hospital of Baiyin City, Baiyin, China
| | - Yan Su
- Department of Electrophysiology, The First People's Hospital of Baiyin City, Baiyin, China
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Sun LR, Jordan LC, Smith ER, Aldana PR, Kirschen MP, Guilliams K, Gupta N, Steinberg GK, Fox C, Harrar DB, Lee S, Chung MG, Dirks P, Dlamini N, Maher CO, Lehman LL, Hong SJ, Strahle JM, Pineda JA, Beslow LA, Rasmussen L, Mailo J, Piatt J, Lang SS, Adelson PD, Dewan MC, Mineyko A, McClugage S, Vadivelu S, Dowling MM, Hersh DS. Pediatric Moyamoya Revascularization Perioperative Care: A Modified Delphi Study. Neurocrit Care 2024; 40:587-602. [PMID: 37470933 PMCID: PMC11023720 DOI: 10.1007/s12028-023-01788-0] [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: 05/13/2023] [Accepted: 06/20/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Surgical revascularization decreases the long-term risk of stroke in children with moyamoya arteriopathy but can be associated with an increased risk of stroke during the perioperative period. Evidence-based approaches to optimize perioperative management are limited and practice varies widely. Using a modified Delphi process, we sought to establish expert consensus on key components of the perioperative care of children with moyamoya undergoing indirect revascularization surgery and identify areas of equipoise to define future research priorities. METHODS Thirty neurologists, neurosurgeons, and intensivists practicing in North America with expertise in the management of pediatric moyamoya were invited to participate in a three-round, modified Delphi process consisting of a 138-item practice patterns survey, anonymous electronic evaluation of 88 consensus statements on a 5-point Likert scale, and a virtual group meeting during which statements were discussed, revised, and reassessed. Consensus was defined as ≥ 80% agreement or disagreement. RESULTS Thirty-nine statements regarding perioperative pediatric moyamoya care for indirect revascularization surgery reached consensus. Salient areas of consensus included the following: (1) children at a high risk for stroke and those with sickle cell disease should be preadmitted prior to indirect revascularization; (2) intravenous isotonic fluids should be administered in all patients for at least 4 h before and 24 h after surgery; (3) aspirin should not be discontinued in the immediate preoperative and postoperative periods; (4) arterial lines for blood pressure monitoring should be continued for at least 24 h after surgery and until active interventions to achieve blood pressure goals are not needed; (5) postoperative care should include hourly vital signs for at least 24 h, hourly neurologic assessments for at least 12 h, adequate pain control, maintaining normoxia and normothermia, and avoiding hypotension; and (6) intravenous fluid bolus administration should be considered the first-line intervention for new focal neurologic deficits following indirect revascularization surgery. CONCLUSIONS In the absence of data supporting specific care practices before and after indirect revascularization surgery in children with moyamoya, this Delphi process defined areas of consensus among neurosurgeons, neurologists, and intensivists with moyamoya expertise. Research priorities identified include determining the role of continuous electroencephalography in postoperative moyamoya care, optimal perioperative blood pressure and hemoglobin targets, and the role of supplemental oxygen for treatment of suspected postoperative ischemia.
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Affiliation(s)
- Lisa R Sun
- Division of Cerebrovascular Neurology, Division of Pediatric Neurology, The Johns Hopkins School of Medicine, Baltimore, MD, USA.
| | - Lori C Jordan
- Department of Pediatrics, Division of Pediatric Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Edward R Smith
- Department of Neurosurgery, Boston Children's Hospital, Boston, MA, USA
| | - Philipp R Aldana
- Division of Pediatric Neurosurgery, University of Florida College of Medicine, Section of Neurosurgery, Wolfson Children's Hospital, Jacksonville, FL, USA
| | - Matthew P Kirschen
- Departments of Anesthesiology and Critical Care Medicine, Pediatrics and Neurology, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Kristin Guilliams
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Nalin Gupta
- Departments of Neurological Surgery and Pediatrics, University of California, San Francisco, CA, USA
| | - Gary K Steinberg
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Christine Fox
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Dana B Harrar
- Division of Neurology, Children's National Hospital, George Washington University School of Medicine, Washington, DC, USA
| | - Sarah Lee
- Division of Child Neurology, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Melissa G Chung
- Department of Pediatrics, Divisions of Pediatric Neurology and Critical Care Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Peter Dirks
- Division of Neurosurgery, The Hospital for Sick Children, Toronto, Canada
| | - Nomazulu Dlamini
- Division of Neurology, The Hospital for Sick Children, Toronto, Canada
| | - Cormac O Maher
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Laura L Lehman
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Sue J Hong
- Department of Pediatrics, Divisions of Critical Care and Child Neurology, Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Jennifer M Strahle
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Jose A Pineda
- Department of Critical Care, Children's Hospital of Los Angeles, Los Angeles, CA, USA
| | - Lauren A Beslow
- Division of Neurology, Children's Hospital of Philadelphia, Departments of Neurology and Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Lindsey Rasmussen
- Department of Critical Care, Stanford University School of Medicine, Stanford, CA, USA
| | - Janette Mailo
- Division of Pediatric Neurology, Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Joseph Piatt
- Division of Neurosurgery, Nemours Children's Hospital Delaware, Wilmington, DE, USA
| | - Shih-Shan Lang
- Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - P David Adelson
- Department of Neurosurgery, WVU Medicine and WVU Medicine Children's Hospital, Morgantown, WV, USA
| | - Michael C Dewan
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Aleksandra Mineyko
- Department of Pediatrics, Section on Neurology, University of Calgary, Calgary, AB, Canada
| | - Samuel McClugage
- Department of Neurosurgery, Texas Children's Hospital, Houston, TX, USA
| | - Sudhakar Vadivelu
- Division of Pediatric Neurosurgery and Interventional Neuroradiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Michael M Dowling
- Departments of Pediatrics and Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - David S Hersh
- Division of Neurosurgery, Connecticut Children's, Hartford, CT, USA
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Mathur R, Meyfroidt G, Robba C, Stevens RD. Neuromonitoring in the ICU - what, how and why? Curr Opin Crit Care 2024; 30:99-105. [PMID: 38441121 DOI: 10.1097/mcc.0000000000001138] [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: 03/12/2024]
Abstract
PURPOSE OF REVIEW We selectively review emerging noninvasive neuromonitoring techniques and the evidence that supports their use in the ICU setting. The focus is on neuromonitoring research in patients with acute brain injury. RECENT FINDINGS Noninvasive intracranial pressure evaluation with optic nerve sheath diameter measurements, transcranial Doppler waveform analysis, or skull mechanical extensometer waveform recordings have potential safety and resource-intensity advantages when compared to standard invasive monitors, however each of these techniques has limitations. Quantitative electroencephalography can be applied for detection of cerebral ischemia and states of covert consciousness. Near-infrared spectroscopy may be leveraged for cerebral oxygenation and autoregulation computation. Automated quantitative pupillometry and heart rate variability analysis have been shown to have diagnostic and/or prognostic significance in selected subtypes of acute brain injury. Finally, artificial intelligence is likely to transform interpretation and deployment of neuromonitoring paradigms individually and when integrated in multimodal paradigms. SUMMARY The ability to detect brain dysfunction and injury in critically ill patients is being enriched thanks to remarkable advances in neuromonitoring data acquisition and analysis. Studies are needed to validate the accuracy and reliability of these new approaches, and their feasibility and implementation within existing intensive care workflows.
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Affiliation(s)
- Rohan Mathur
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Geert Meyfroidt
- Department of Intensive Care Medicine, University Hospitals Leuven, Belgium and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Belgium
| | - Chiara Robba
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, Università degli Studi di Genova, Genova, Italy
| | - Robert D Stevens
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore MD, USA
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Benedetti GM, Guerriero RM, Press CA. Review of Noninvasive Neuromonitoring Modalities in Children II: EEG, qEEG. Neurocrit Care 2023; 39:618-638. [PMID: 36949358 PMCID: PMC10033183 DOI: 10.1007/s12028-023-01686-5] [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: 07/28/2022] [Accepted: 01/30/2023] [Indexed: 03/24/2023]
Abstract
Critically ill children with acute neurologic dysfunction are at risk for a variety of complications that can be detected by noninvasive bedside neuromonitoring. Continuous electroencephalography (cEEG) is the most widely available and utilized form of neuromonitoring in the pediatric intensive care unit. In this article, we review the role of cEEG and the emerging role of quantitative EEG (qEEG) in this patient population. cEEG has long been established as the gold standard for detecting seizures in critically ill children and assessing treatment response, and its role in background assessment and neuroprognostication after brain injury is also discussed. We explore the emerging utility of both cEEG and qEEG as biomarkers of degree of cerebral dysfunction after specific injuries and their ability to detect both neurologic deterioration and improvement.
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Affiliation(s)
- Giulia M Benedetti
- Division of Pediatric Neurology, Department of Neurology, Seattle Children's Hospital and the University of Washington School of Medicine, Seattle, WA, USA.
- Division of Pediatric Neurology, Department of Pediatrics, C.S. Mott Children's Hospital and the University of Michigan, 1540 E Hospital Drive, Ann Arbor, MI, 48109-4279, USA.
| | - Rejéan M Guerriero
- Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Craig A Press
- Departments of Neurology and Pediatric, Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Benedetti GM, Morgan LA, Sansevere AJ, Harrar DB, Guerriero RM, Wainwright MS, LaRovere KL, Kielian A, Ganesan SL, Press CA. The Spectrum of Quantitative EEG Utilization Across North America: A Cross-Sectional Survey. Pediatr Neurol 2023; 141:1-8. [PMID: 36731228 DOI: 10.1016/j.pediatrneurol.2022.12.016] [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: 08/26/2022] [Revised: 11/16/2022] [Accepted: 12/30/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND Continuous electroencephalography (cEEG) is commonly used for neuromonitoring in pediatric intensive care units (PICU); however, there are barriers to real-time interpretation of EEG data. Quantitative EEG (qEEG) transforms the EEG signal into time-compressed graphs, which can be displayed at the bedside. A survey was designed to understand current PICU qEEG use. METHODS An electronic survey was sent to the Pediatric Neurocritical Care Research Group and Pediatric Status Epilepticus Research Group, and intensivists in 16 Canadian PICUs. Questions addressed demographics, qEEG acquisition and storage, clinical use, and education. RESULTS Fifty respondents from 39 institutions completed the survey (response rate 53% [39 of 74 institutions]), 76% (37 of 50) from the United States and 24% (12 of 50) from Canada. Over half of the institutions (22 of 39 [56%]) utilize qEEG in their ICUs. qEEG use was associated with having a neurocritical care (NCC) service, ≥200 NCC consults/year, ≥1500 ICU admissions/year, and ≥4 ICU EEGs/day (P < 0.05 for all). Nearly all users (92% [24 of 26]) endorsed that qEEG enhanced care of children with acute neurological injury. Lack of training in qEEG was identified as a common barrier [85% (22 of 26)]. Reviewing and reporting of qEEG was not standard at most institutions. Training was required by 14% (three of 22) of institutions, and 32% (seven of 22) had established curricula. CONCLUSIONS ICU qEEG was used at more than half of the institutions surveyed, but review, reporting, and application of this tool remained highly variable. Although providers identify qEEG as a useful tool in patient management, further studies are needed to define clinically meaningful pediatric trends, standardize reporting, and enhance educate bedside providers.
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Affiliation(s)
- Giulia M Benedetti
- Division of Pediatric Neurology, Department of Neurology, University of Washington School of Medicine, Seattle, Washington
| | - Lindsey A Morgan
- Division of Pediatric Neurology, Department of Neurology, University of Washington School of Medicine, Seattle, Washington
| | - Arnold J Sansevere
- Department of Neurology, Children's National Hospital and Departments of Neurology and Pediatrics, George Washington University School of Medicine, Washington, District of Columbia
| | - Dana B Harrar
- Department of Neurology, Children's National Hospital and Departments of Neurology and Pediatrics, George Washington University School of Medicine, Washington, District of Columbia
| | - Réjean M Guerriero
- Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Mark S Wainwright
- Division of Pediatric Neurology, Department of Neurology, University of Washington School of Medicine, Seattle, Washington
| | - Kerri L LaRovere
- Department of Neurology, Harvard Medical School and Boston Children's Hospital, Boston, Massachusetts
| | - Agnieszka Kielian
- Department of Neurology, Harvard Medical School and Boston Children's Hospital, Boston, Massachusetts
| | - Saptharishi Lalgudi Ganesan
- Paediatric Critical Care Medicine, Children's Hospital of Western Ontario, London Health Sciences Centre, London, Ontario, Canada; Department of Paediatrics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Craig A Press
- Departments of Neurology and Pediatrics, Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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Alsbrook DL, Di Napoli M, Bhatia K, Desai M, Hinduja A, Rubinos CA, Mansueto G, Singh P, Domeniconi GG, Ikram A, Sabbagh SY, Divani AA. Pathophysiology of Early Brain Injury and Its Association with Delayed Cerebral Ischemia in Aneurysmal Subarachnoid Hemorrhage: A Review of Current Literature. J Clin Med 2023; 12:jcm12031015. [PMID: 36769660 PMCID: PMC9918117 DOI: 10.3390/jcm12031015] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/25/2023] [Accepted: 01/25/2023] [Indexed: 02/03/2023] Open
Abstract
Background: Delayed cerebral ischemia (DCI) is a common and serious complication of aneurysmal subarachnoid hemorrhage (aSAH). Though many clinical trials have looked at therapies for DCI and vasospasm in aSAH, along with reducing rebleeding risks, none have led to improving outcomes in this patient population. We present an up-to-date review of the pathophysiology of DCI and its association with early brain injury (EBI). Recent Findings: Recent studies have demonstrated that EBI, as opposed to delayed brain injury, is the main contributor to downstream pathophysiological mechanisms that play a role in the development of DCI. New predictive models, including advanced monitoring and neuroimaging techniques, can help detect EBI and improve the clinical management of aSAH patients. Summary: EBI, the severity of subarachnoid hemorrhage, and physiological/imaging markers can serve as indicators for potential early therapeutics in aSAH. The microcellular milieu and hemodynamic pathomechanisms should remain a focus of researchers and clinicians. With the advancement in understanding the pathophysiology of DCI, we are hopeful that we will make strides toward better outcomes for this unique patient population.
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Affiliation(s)
- Diana L Alsbrook
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Mario Di Napoli
- Neurological Service, SS Annunziata Hospital, Sulmona, 67039 L'Aquila, Italy
| | - Kunal Bhatia
- Department of Neurology, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Masoom Desai
- Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Archana Hinduja
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Clio A Rubinos
- Department of Neurology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Gelsomina Mansueto
- Department of Advanced Medical and Surgical Sciences, University of Campania, 80138 Naples, Italy
| | - Puneetpal Singh
- Department of Human Genetics, Punjabi University, Patiala 147002, India
| | - Gustavo G Domeniconi
- Unidad de Cuidados Intensivos, Sanatorio de la Trinidad San Isidro, Buenos Aires 1640, Argentina
| | - Asad Ikram
- Stroke Division, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Sara Y Sabbagh
- Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Afshin A Divani
- Department of Neurology, University of New Mexico, Albuquerque, NM 87131, USA
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Hernández-Hernández MA, Cherchi MS, Torres-Díez E, Orizaola P, Martín-Láez R, Fernández-Torre JL. Bispectral index monitoring to detect delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. J Crit Care 2022; 72:154154. [PMID: 36152563 DOI: 10.1016/j.jcrc.2022.154154] [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: 03/11/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE Evaluate the bispectral index (BIS) monitoring to detect delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). MATERIALS AND METHODS A single-center prospective study in patients with aSAH. BIS monitoring was recorded during 25-120 min in two periods, within the initial 72 h (BIS1) and between days 4 and 6 (BIS2) from admission. The median for each exported BIS parameter was analyzed. Transcranial Doppler (TCD) sonography was simultaneously performed with BIS1 (TCD1) and BIS2 (TCD2) monitoring. A multivariate logistic regression model was built to identify the variables associated with DCI. RESULTS Sixty-four patients were included and 16 (25%) developed DCI. During BIS2 monitoring, significant differences were found in BIS value (left, p = 0.01; right, p = 0.009), 95% spectral edge frequency (left and right, p = 0.04), and total power (left and right, p = 0.04). In multivariable analysis, vasospasm on TCD2 (OR 42.8 [95% CI 3.1-573]; p = 0.005), a median BIS2 value <85 in one or both sides (OR 6.2 [95% CI 1.28-30]; p = 0.023), and age (OR 1.08 [95% CI 1.00-1.17]; p = 0.04) were associated with the development of DCI. CONCLUSIONS BIS value is the most useful BIS parameter for detecting DCI after aSAH. Pending further validation, BIS monitoring might be even more accurate than TCD.
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Affiliation(s)
- Miguel A Hernández-Hernández
- Department of Intensive Medicine, Hospital Universitario Marqués de Valdecilla, Santander, Spain; Biomedical Research Institute (IDIVAL), Santander, Spain
| | - Marina S Cherchi
- Department of Intensive Medicine, Hospital Universitario Marqués de Valdecilla, Santander, Spain; Biomedical Research Institute (IDIVAL), Santander, Spain.
| | - Eduardo Torres-Díez
- Interventional Neuroradiology, Department of Radiology, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Pedro Orizaola
- Department of Clinical Neurophysiology, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Rubén Martín-Láez
- Biomedical Research Institute (IDIVAL), Santander, Spain; Department of Neurosurgery and Surgical Spine Unit, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - José L Fernández-Torre
- Biomedical Research Institute (IDIVAL), Santander, Spain; Department of Clinical Neurophysiology, Hospital Universitario Marqués de Valdecilla, Santander, Spain; Department of Physiology and Pharmacology, University of Cantabria (UNICAN), Santander, Spain
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Hwang J, Cho SM, Ritzl EK. Recent applications of quantitative electroencephalography in adult intensive care units: a comprehensive review. J Neurol 2022; 269:6290-6309. [DOI: 10.1007/s00415-022-11337-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 10/15/2022]
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Murphey DK, Anderson ER. The Past, Present, and Future of Tele-EEG. Semin Neurol 2022; 42:31-38. [PMID: 35576928 DOI: 10.1055/s-0041-1742242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Tele-electroencephalogram (EEG) has become more pervasive over the last 20 years due to advances in technology, both independent of and driven by personnel shortages. The professionalization of EEG services has both limited growth and controlled the quality of tele-EEG. Growing data on the conditions that benefit from brain monitoring have informed increased critical care EEG and ambulatory EEG utilization. Guidelines that marshal responsible use of still-limited resources and changes in broadband and billing practices have also shaped the tele-EEG landscape. It is helpful to characterize the drivers of tele-EEG to navigate barriers to sustainable growth and to build dynamic systems that anticipate challenges in any of the domains that expand access and enhance quality of these diagnostic services. We explore the historical factors and current trends in tele-EEG in the United States in this review.
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