201
|
Fordyce CB, Kramer AH, Ainsworth C, Christenson J, Hunter G, Kromm J, Lopez Soto C, Scales DC, Sekhon M, van Diepen S, Dragoi L, Josephson C, Kutsogiannis J, Le May MR, Overgaard CB, Savard M, Schnell G, Wong GC, Belley-Côté E, Fantaneanu TA, Granger CB, Luk A, Mathew R, McCredie V, Murphy L, Teitelbaum J. Neuroprognostication in the Post Cardiac Arrest Patient: A Canadian Cardiovascular Society Position Statement. Can J Cardiol 2023; 39:366-380. [PMID: 37028905 DOI: 10.1016/j.cjca.2022.12.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 04/08/2023] Open
Abstract
Cardiac arrest (CA) is associated with a low rate of survival with favourable neurologic recovery. The most common mechanism of death after successful resuscitation from CA is withdrawal of life-sustaining measures on the basis of perceived poor neurologic prognosis due to underlying hypoxic-ischemic brain injury. Neuroprognostication is an important component of the care pathway for CA patients admitted to hospital but is complex, challenging, and often guided by limited evidence. Using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system to evaluate the evidence underlying factors or diagnostic modalities available to determine prognosis, recommendations were generated in the following domains: (1) circumstances immediately after CA; (2) focused neurologic exam; (3) myoclonus and seizures; (4) serum biomarkers; (5) neuroimaging; (6) neurophysiologic testing; and (7) multimodal neuroprognostication. This position statement aims to serve as a practical guide to enhance in-hospital care of CA patients and emphasizes the adoption of a systematic, multimodal approach to neuroprognostication. It also highlights evidence gaps.
Collapse
Affiliation(s)
- Christopher B Fordyce
- Division of Cardiology, Department of Medicine, Vancouver General Hospital, and the Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, British Columbia.
| | - Andreas H Kramer
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta; Department of Critical Care, University of Calgary, Alberta
| | - Craig Ainsworth
- Division of Cardiology, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Jim Christenson
- Department of Emergency Medicine, University of British Columbia, Vancouver, British Columbia
| | - Gary Hunter
- Division of Neurology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Julie Kromm
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta; Department of Critical Care, University of Calgary, Alberta
| | - Carmen Lopez Soto
- Department of Critical Care, King's College Hospital NHS Foundation Trust, London, United Kingdom
| | - Damon C Scales
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Mypinder Sekhon
- Division of Critical Care, Department of Medicine, Vancouver General Hospital, Djavad Mowafaghian Centre for Brain Health, International Centre for Repair Discoveries, University of British Columbia, Vancouver, British Columbia
| | - Sean van Diepen
- Department of Critical Care Medicine, University of Alberta, Edmonton, Alberta; Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Alberta
| | - Laura Dragoi
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Colin Josephson
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta; Department of Critical Care, University of Calgary, Alberta
| | - Jim Kutsogiannis
- Department of Critical Care Medicine, University of Alberta, Edmonton, Alberta
| | - Michel R Le May
- Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Christopher B Overgaard
- Division of Cardiology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Martin Savard
- Department of Neurological Sciences CHU de Québec - Hôpital de l'Enfant-Jésus Quebec City, Quebec, Canada
| | - Gregory Schnell
- Division of Cardiology, Department of Medicine, University of Calgary, Calgary, Alberta
| | - Graham C Wong
- Division of Cardiology, Department of Medicine, Vancouver General Hospital, and the Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, British Columbia
| | - Emilie Belley-Côté
- Division of Cardiology, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Tadeu A Fantaneanu
- Division of Neurology, The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Adriana Luk
- Division of Cardiology, Department of Medicine, University of Toronto and the Ted Rogers Centre for Heart Research, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Rebecca Mathew
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, and the Faculty of Medicine, Division of Critical Care, University of Ottawa, Ottawa, Ontario, Canada
| | - Victoria McCredie
- Interdepartmental Division of Critical Care Medicine, University of Toronto, the Krembil Research Institute, Toronto Western Hospital, University Health Network, and Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Laurel Murphy
- Departments of Emergency Medicine and Critical Care, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jeanne Teitelbaum
- Neurological Intensive Care Unit, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
202
|
Husari KS, Solnes L, Cervenka MC, Venkatesan A, Probasco J, Ritzl EK, Johnson EL. EEG Correlates of Qualitative Hypermetabolic FDG-PET in Patients With Neurologic Disorders. Neurol Clin Pract 2023; 13:e200135. [PMID: 36936394 PMCID: PMC10022725 DOI: 10.1212/cpj.0000000000200135] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/28/2022] [Indexed: 03/16/2023]
Abstract
Background and Objectives Case reports and case series have described fluorodeoxyglucose (FDG)-PET findings in critically ill patients with rhythmic or periodic EEG patterns, with one reporting that metabolic activity increases with increasing lateralized periodic discharge (LPD) frequency. However, larger studies examining the relationship between FDG-PET hypermetabolism and rhythmic or periodic EEG patterns are lacking. The goal of this study was to investigate the association of FDG-PET hypermetabolism with electroencephalographic features in patients with neurologic disorders. Methods This was a single-center, retrospective study of adult patients admitted with acute neurologic symptoms who underwent FDG-PET imaging and EEG monitoring within 24 hours. Subjects were divided into 2 groups based on their FDG-PET metabolism pattern: hypermetabolic activity vs hypometabolic or normal metabolic activity. Chi-square tests and logistic regression were used to determine the relationship of FDG-PET metabolism and EEG findings. Results Sixty patients met the inclusion criteria and underwent 63 FDG-PET studies and EEGs. Twenty-seven studies (43%) showed hypermetabolism while 36 studies (57%) showed either hypometabolism or no abnormalities on FDG-PET. Subjects with hypermetabolic FDG-PET were more likely to have electrographic seizures (44% vs 8%, p = 0.001) and LPDs with/without seizures (44% vs 14%, p = 0.007), but not other rhythmic or periodic EEG patterns (lateralized rhythmic delta activity, generalized periodic discharges, or generalized rhythmic delta activity). Subjects with hypermetabolism and LPDs were more likely to have concurrent electrographic seizures (58% vs 0%, p = 0.03), fast activity associated with the discharges (67% vs 0, p = 0.01), or spike morphology (67% vs 0, p = 0.03), compared with subjects with hypometabolic FDG-PET and LPDs. Discussion Adults admitted with acute neurologic symptoms who had hypermetabolic FDG-PET were more likely to show electrographic seizures and LPDs, but not other rhythmic or periodic EEG patterns, compared with those with hypometabolic FDG-PET. Subjects with hypermetabolic FDG-PET and LPDs were more likely to have LPDs with concurrent electrographic seizures, LPDs with a spike morphology, and LPDs +F, compared with subjects with hypometabolic FDG-PET.
Collapse
Affiliation(s)
- Khalil S Husari
- Department of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD
| | - Lilja Solnes
- Department of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD
| | - Mackenzie C Cervenka
- Department of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD
| | - Arun Venkatesan
- Department of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD
| | - John Probasco
- Department of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD
| | - Eva K Ritzl
- Department of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD
| | - Emily L Johnson
- Department of Neurology (KSH, MCC, EKR, ELJ), Comprehensive Epilepsy Center, Department of Radiology and Radiological Science (LS), Division of Neuroimmunology and Neurological Infections (AV), and Division of Advanced Clinical Neurology (JP), Department of Neurology, and Department of Anesthesiology and Critical Care Medicine (EKR), Johns Hopkins University, Baltimore, MD
| |
Collapse
|
203
|
Sandroni C, Skrifvars MB, Taccone FS. Brain monitoring after cardiac arrest. Curr Opin Crit Care 2023; 29:68-74. [PMID: 36762679 PMCID: PMC9994800 DOI: 10.1097/mcc.0000000000001023] [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] [Indexed: 02/11/2023]
Abstract
PURPOSE OF REVIEW To describe the available neuromonitoring tools in patients who are comatose after resuscitation from cardiac arrest because of hypoxic-ischemic brain injury (HIBI). RECENT FINDINGS Electroencephalogram (EEG) is useful for detecting seizures and guiding antiepileptic treatment. Moreover, specific EEG patterns accurately identify patients with irreversible HIBI. Cerebral blood flow (CBF) decreases in HIBI, and a greater decrease with no CBF recovery indicates poor outcome. The CBF autoregulation curve is narrowed and right-shifted in some HIBI patients, most of whom have poor outcome. Parameters derived from near-infrared spectroscopy (NIRS), intracranial pressure (ICP) and transcranial Doppler (TCD), together with brain tissue oxygenation, are under investigation as tools to optimize CBF in patients with HIBI and altered autoregulation. Blood levels of brain biomarkers and their trend over time are used to assess the severity of HIBI in both the research and clinical setting, and to predict the outcome of postcardiac arrest coma. Neuron-specific enolase (NSE) is recommended as a prognostic tool for HIBI in the current postresuscitation guidelines, but other potentially more accurate biomarkers, such as neurofilament light chain (NfL) are under investigation. SUMMARY Neuromonitoring provides essential information to detect complications, individualize treatment and predict prognosis in patients with HIBI.
Collapse
Affiliation(s)
- Claudio Sandroni
- Department of Intensive Care, Emergency Medicine and Anaesthesiology, Fondazione Policlinico Universitario ‘Agostino Gemelli’- IRCCS
- Institute of Anaesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Markus Benedikt Skrifvars
- Department of Emergency Medicine and Services, University of Helsinki
- Helsinki University Hospital, Helsinki, Finland
| | - Fabio Silvio Taccone
- Department of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium
| |
Collapse
|
204
|
Shebani Z, Walter B, Masel T, Patel C, Li X. Cefepime-Induced Neurotoxicity or Nonconvulsive Status Epilepticus (NCSE): A Controversy Revisited. Cureus 2023; 15:e38050. [PMID: 37228541 PMCID: PMC10207969 DOI: 10.7759/cureus.38050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/24/2023] [Indexed: 05/27/2023] Open
Abstract
Neurotoxicity is a well-known side effect of cefepime among patients commonly present with altered mental status and typical electroencephalogram (EEG) findings of generalized periodic discharges (GPDs). Some practitioners consider this pattern as encephalopathy and often treat it with the withdrawal of cefepime only, while others are at times concerned with non-convulsive status epilepticus (NCSE) and treat it with antiseizure medications (ASMs) in addition to the withdrawal of cefepime to accelerate the recovery. We present a case series of two patients who developed cefepime-induced altered mental status and EEG findings of GPDs at a rate of 2-2.5 Hz concerning for the ictal-interictal continuum (IIC). Both cases were treated as possible NCSE with ASMs in addition to the withdrawal of cefepime, resulting in different clinical outcomes. The first case showed clinical and EEG improvement shortly after the administration of parenteral benzodiazepines and ASMs. The other case showed electrographic improvement but did not show significant improvement in mentation, and the patient died eventually.
Collapse
Affiliation(s)
- Zacharia Shebani
- Neurology, University of Texas Medical Branch at Galveston, Galveston, USA
| | - Brian Walter
- Neurology, Houston Methodist Hospital, Houston, USA
| | - Todd Masel
- Neurology, University of Texas Medical Branch at Galveston, Galveston, USA
| | - Chilvana Patel
- Neurology, University of Texas Medical Branch at Galveston, Galveston, USA
| | - Xiangping Li
- Neurology, University of Texas Medical Branch at Galveston, Galveston, USA
| |
Collapse
|
205
|
Okonji S, Bulgarelli C, Troìa R, Pontiero A, Foglia A, Giunti M, Gandini G. Electroencephalographic patterns in a mechanically ventilated cat with permethrin intoxication. JFMS Open Rep 2023; 9:20551169231160228. [PMID: 37007979 PMCID: PMC10064162 DOI: 10.1177/20551169231160228] [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: 04/03/2023] Open
Abstract
Case summary A 1-year-old male castrated domestic shorthair cat was presented in a condition of status epilepticus following incidental permethrin spot-on administration by its owner. General anaesthesia and mechanical positive pressure control ventilation were necessary to control the epileptic seizures and a progressive condition of hypoventilation. The cat was managed with an intravenous constant rate infusion of midazolam, propofol and ketamine associated with a low-dose intravenous lipid emulsion. A condition of non-convulsive status epilepticus was detected by serial continuous electroencephalogram (cEEG) monitoring. Initial cEEG showed paroxysmal epileptiform discharges; thus, antiseizure treatment with phenobarbital was added and a bolus of hypertonic saline solution was administered to treat suspected intracranial hypertension. A second cEEG performed 24 h later showed the presence of rare spikes and a burst-suppression pattern, so the decision was made to discontinue propofol. A third cEEG, 72 h post-hospitalisation, showed a normal encephalographic pattern; therefore, anaesthetic drugs were progressively tapered, and the patient was extubated. Five days after admission the cat was discharged on phenobarbital treatment, which was gradually tapered during the following months. Relevance and novel information This is the first reported case to describe cEEG monitoring during hospitalisation for feline permethrin intoxication. cEEG should be encouraged in cats with altered mental status that have previously suffered cluster seizures or status epilepticus, which could guide clinicians in the choice of antiseizure drugs.
Collapse
Affiliation(s)
| | - Cecilia Bulgarelli
- Cecilia Bulgarelli DVM, Department of Veterinary Medical Sciences, Alma Mater Studiorum – University of Bologna, Via Tolara di Sopra, 50, Ozzano dell’Emilia, BO 40064, Italy
| | | | | | | | | | | |
Collapse
|
206
|
Liuzzi P, Campagnini S, Hakiki B, Burali R, Scarpino M, Macchi C, Cecchi F, Mannini A, Grippo A. Heart rate variability for the evaluation of patients with disorders of consciousness. Clin Neurophysiol 2023; 150:31-39. [PMID: 37002978 DOI: 10.1016/j.clinph.2023.03.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 12/12/2022] [Accepted: 03/03/2023] [Indexed: 04/03/2023]
Abstract
OBJECTIVE Clinical responsiveness of patients with a Disorder of Consciousness (DoC) correlates to sympathetic/parasympathetic homeostatic balance. Heart Rate Variability (HRV) metrics result in non-invasive proxies of modulation capabilities of visceral states. In this work, our aim was to evaluate whether HRV measures could improve the differential diagnosis between Unresponsive Wakefulness Syndrome (UWS) and Minimally Conscious State (MCS) with respect to multivariate models based on standard clinical electroencephalography (EEG) labeling only in a rehabilitation setting. METHODS A prospective observational study was performed consecutively enrolling 82 DoC patients. Polygraphic recordings were performed. HRV-metrics and EEG descriptors derived from the American Clinical Neurophysiology Society's Standardized Critical Care terminology were included. Descriptors entered univariate and then multivariate logistic regressions with the target set to the UWS/MCS diagnosis. RESULTS HRV measures resulted significantly different between UWS and MCS patients, with higher values being associated with better consciousness levels. Specifically, adding HRV-related metrics to ACNS EEG descriptors increased the Nagelkerke R2 from 0.350 (only EEG descriptors) to 0.565 (HRV-EEG combination) with the outcome set to the consciousness diagnosis. CONCLUSIONS HRV changes across the lowest states of consciousness. Rapid changes in heart rate, occurring in better consciousness levels, confirm the mutual correlation between visceral state functioning patterns and consciousness alterations. SIGNIFICANCE Quantitative analysis of heart rate in patients with a DoC paves the way for the implementation of low-cost pipelines supporting medical decisions within multimodal consciousness assessments.
Collapse
Affiliation(s)
- Piergiuseppe Liuzzi
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy; Scuola Superiore Sant'Anna, Istituto di BioRobotica, Pontedera, Viale Rinaldo Piaggio 34, Italy
| | - Silvia Campagnini
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy; Scuola Superiore Sant'Anna, Istituto di BioRobotica, Pontedera, Viale Rinaldo Piaggio 34, Italy
| | - Bahia Hakiki
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy.
| | - Rachele Burali
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy
| | - Maenia Scarpino
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy
| | - Claudio Macchi
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy; Università di Firenze, Dipartimento di Medicina Sperimentale e Clinica, Firenze, Largo Brambilla 3, Italy
| | - Francesca Cecchi
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy; Università di Firenze, Dipartimento di Medicina Sperimentale e Clinica, Firenze, Largo Brambilla 3, Italy
| | - Andrea Mannini
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy
| | - Antonello Grippo
- IRCCS Fondazione Don Carlo Gnocchi, Firenze, Via di Scandicci 269, Italy
| |
Collapse
|
207
|
Gavaret M, Iftimovici A, Pruvost-Robieux E. EEG: Current relevance and promising quantitative analyses. Rev Neurol (Paris) 2023; 179:352-360. [PMID: 36907708 DOI: 10.1016/j.neurol.2022.12.008] [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: 09/09/2022] [Revised: 12/02/2022] [Accepted: 12/06/2022] [Indexed: 03/12/2023]
Abstract
Electroencephalography (EEG) remains an essential tool, characterized by an excellent temporal resolution and offering a real window on cerebral functions. Surface EEG signals are mainly generated by the postsynaptic activities of synchronously activated neural assemblies. EEG is also a low-cost tool, easy to use at bed-side, allowing to record brain electrical activities with a low number or up to 256 surface electrodes. For clinical purpose, EEG remains a critical investigation for epilepsies, sleep disorders, disorders of consciousness. Its temporal resolution and practicability also make EEG a necessary tool for cognitive neurosciences and brain-computer interfaces. EEG visual analysis is essential in clinical practice and the subject of recent progresses. Several EEG-based quantitative analyses may complete the visual analysis, such as event-related potentials, source localizations, brain connectivity and microstates analyses. Some developments in surface EEG electrodes appear also, potentially promising for long term continuous EEGs. We overview in this article some recent progresses in visual EEG analysis and promising quantitative analyses.
Collapse
Affiliation(s)
- M Gavaret
- Université Paris Cité, INSERM UMR 1266, IPNP (Institute of Psychiatry and Neuroscience of Paris), France; Service de Neurophysiologie Clinique et Epileptologie, GHU Paris Psychiatrie et Neurosciences, Paris, France; FHU NeuroVasc, Paris, France.
| | - A Iftimovici
- Université Paris Cité, INSERM UMR 1266, IPNP (Institute of Psychiatry and Neuroscience of Paris), France; NeuroSpin, Atomic Energy Commission, Gif-sur-Yvette, France; Pôle PEPIT, GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - E Pruvost-Robieux
- Université Paris Cité, INSERM UMR 1266, IPNP (Institute of Psychiatry and Neuroscience of Paris), France; Service de Neurophysiologie Clinique et Epileptologie, GHU Paris Psychiatrie et Neurosciences, Paris, France; FHU NeuroVasc, Paris, France
| |
Collapse
|
208
|
Svantesson M, Olausson H, Eklund A, Thordstein M. Get a New Perspective on EEG: Convolutional Neural Network Encoders for Parametric t-SNE. Brain Sci 2023; 13:brainsci13030453. [PMID: 36979263 PMCID: PMC10046040 DOI: 10.3390/brainsci13030453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/03/2023] [Accepted: 03/04/2023] [Indexed: 03/09/2023] Open
Abstract
t-distributed stochastic neighbor embedding (t-SNE) is a method for reducing high-dimensional data to a low-dimensional representation, and is mostly used for visualizing data. In parametric t-SNE, a neural network learns to reproduce this mapping. When used for EEG analysis, the data are usually first transformed into a set of features, but it is not known which features are optimal. The principle of t-SNE was used to train convolutional neural network (CNN) encoders to learn to produce both a high- and a low-dimensional representation, eliminating the need for feature engineering. To evaluate the method, the Temple University EEG Corpus was used to create three datasets with distinct EEG characters: (1) wakefulness and sleep; (2) interictal epileptiform discharges; and (3) seizure activity. The CNN encoders produced low-dimensional representations of the datasets with a structure that conformed well to the EEG characters and generalized to new data. Compared to parametric t-SNE for either a short-time Fourier transform or wavelet representation of the datasets, the developed CNN encoders performed equally well in separating categories, as assessed by support vector machines. The CNN encoders generally produced a higher degree of clustering, both visually and in the number of clusters detected by k-means clustering. The developed principle is promising and could be further developed to create general tools for exploring relations in EEG data.
Collapse
Affiliation(s)
- Mats Svantesson
- Department of Clinical Neurophysiology, University Hospital of Linköping, 58185 Linköping, Sweden
- Center for Social and Affective Neuroscience, Linköping University, 58183 Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, 58183 Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, 58183 Linköping, Sweden
- Correspondence:
| | - Håkan Olausson
- Department of Clinical Neurophysiology, University Hospital of Linköping, 58185 Linköping, Sweden
- Center for Social and Affective Neuroscience, Linköping University, 58183 Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, 58183 Linköping, Sweden
| | - Anders Eklund
- Center for Medical Image Science and Visualization, Linköping University, 58183 Linköping, Sweden
- Department of Biomedical Engineering, Linköping University, 58183 Linköping, Sweden
- Division of Statistics & Machine Learning, Department of Computer and Information Science, Linköping University, 58183 Linköping, Sweden
| | - Magnus Thordstein
- Department of Clinical Neurophysiology, University Hospital of Linköping, 58185 Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, 58183 Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, 58183 Linköping, Sweden
| |
Collapse
|
209
|
Chinardet P, Gilles F, Cochet H, Chelly J, Quenot JP, Jacq G, Soulier P, Lesieur O, Beuret P, Holleville M, Bruel C, Bailly P, Sauneuf B, Sejourne C, Galbois A, Fontaine C, Perier F, Pichon N, Arrayago M, Mongardon N, Schnell D, Lascarrou JB, Convers R, Legriel S. Electrocardiographic Changes at the Early Stage of Status Epilepticus: First Insights From the ICTAL Registry. Crit Care Med 2023; 51:388-400. [PMID: 36533915 DOI: 10.1097/ccm.0000000000005768] [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: 12/23/2022]
Abstract
OBJECTIVES To describe early electrocardiogram (ECG) abnormalities after status epilepticus (SE) and evaluate their association with 90-day neurological outcomes. DESIGN Retrospective analysis of a multicenter, national prospective registry between February 2018 and June 2020. SETTING Sixteen ICUs in France, IctalGroup Research Network. PATIENTS Adults with available ECG performed less than or equal to 24 hours after the onset of SE and less than or equal to 12 hours after its resolution. INTERVENTION Double-blinded review of all ECGs was performed by two independent cardiologists. ECGs were categorized as normal/abnormal and then with minor/major early ECG abnormalities according to the Novacode ECG Classification system. MEASUREMENTS AND MAIN RESULTS Among 155 critically ill patients with SE, early ECG abnormalities were encountered in 145 (93.5%), categorized as major in 91 of 145 (62.8%). In addition to sinus tachycardia, the main abnormalities were in the ST segment (elevation [16.6%] or depression [17.9%]) or negative T waves (42.1%). Major early ECG abnormalities were significantly associated with respiratory distress and sinus tachycardia at the scene and hyperlactatemia at ICU admission. By multivariable analysis, three variables were significantly associated with 90-day poor outcome: age, preexisting ultimately fatal comorbidity, and cerebral insult as the cause of SE. Early major ECG abnormalities were not independently associated with 90-day functional outcome. CONCLUSIONS In our study, early ECG abnormalities in the acute phase of SE were frequent, often unrecognized and were associated with clinical and biological stigma of hypoxemia. Although they were not independently associated with 90-day functional outcome, ECG changes at the early stage of SE should be systematically evaluated. TRIAL REGISTRATION https://clinicaltrials.gov/ct2/show/NCT03457831 .
Collapse
Affiliation(s)
- Paul Chinardet
- Medical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
| | - Floriane Gilles
- Cardiology Department, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
| | - Helene Cochet
- Cardiology Department, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
| | - Jonathan Chelly
- IctalGroup, Le Chesnay, France
- Intensive Care Unit, Centre Hospitalier Intercommunal Toulon La Seyne sur Mer, Toulon, France
| | - Jean-Pierre Quenot
- IctalGroup, Le Chesnay, France
- Department of Intensive Care, François Mitterrand University Hospital, Dijon, France
| | - Gwenaelle Jacq
- Medical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
- IctalGroup, Le Chesnay, France
- UVSQ, INSERM, University Paris-Saclay, CESP, Team «PsyDev», Villejuif, France
| | - Pauline Soulier
- IctalGroup, Le Chesnay, France
- Intensive Care Unit, Marc Jacquet Hospital, Melun, France
| | - Olivier Lesieur
- IctalGroup, Le Chesnay, France
- Intensive Care Unit, Saint-Louis Hospital, La Rochelle, France
| | - Pascal Beuret
- IctalGroup, Le Chesnay, France
- Department of Intensive and Continuous Care, Roanne Hospital, Roanne, France
| | - Mathilde Holleville
- IctalGroup, Le Chesnay, France
- Department of Anesthesiology and Critical Care, Beaujon Hospital, DMU Parabol, Paris, France
| | - Cedric Bruel
- IctalGroup, Le Chesnay, France
- Saint Joseph Hospital, Medical-Surgical Intensive Care Unit, Paris, France
| | - Pierre Bailly
- IctalGroup, Le Chesnay, France
- Medical Intensive Care Unit, University Hospital of Brest, Cavale Blanche, Brest Cedex, France
| | - Bertrand Sauneuf
- IctalGroup, Le Chesnay, France
- Cotentin Public Hospital Center, General Intensive Care Unit, Cherbourg-en-Cotentin, France
| | - Caroline Sejourne
- IctalGroup, Le Chesnay, France
- Intensive Care Unit, Hôpital de Béthune, Beuvry, France
| | - Arnaud Galbois
- IctalGroup, Le Chesnay, France
- Department of Polyvalent Intensive Care Unit, Ramsay Générale de Santé, Claude Galien Private Hospital, Quincy-sous-Sénart, France
| | - Candice Fontaine
- Medical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
- IctalGroup, Le Chesnay, France
| | - François Perier
- Medical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
- IctalGroup, Le Chesnay, France
| | - Nicolas Pichon
- IctalGroup, Le Chesnay, France
- Intensive Care Unit, Centre Hospitalier de Brive, Brive-La-Gaillarde, France
| | - Marine Arrayago
- IctalGroup, Le Chesnay, France
- Department of Intensive Care, Cannes Hospital, Cannes, France
| | - Nicolas Mongardon
- IctalGroup, Le Chesnay, France
- Henri Mondor Teaching Hospital, Service D'anesthésie-Réanimation Chirurgicale, DMU CARE, DHU A-TVB, Assistance Publique-Hôpitaux de Paris (AP-HP), Univ Paris Est Créteil, Faculté de Santé, Créteil, France
- U955-IMRB, Equipe 03 "Pharmacologie Et Technologies Pour Les Maladies Cardiovasculaires (PROTECT)," Inserm, Univ Paris Est Créteil (UPEC), Ecole Nationale Vétérinaire d'Alfort (EnVA), Maisons-Alfort, France
| | - David Schnell
- IctalGroup, Le Chesnay, France
- Intensive Care Unit, Centre Hospitalier d'Angoulême, Angoulême, France
| | - Jean-Baptiste Lascarrou
- IctalGroup, Le Chesnay, France
- Intensive Care Unit, Centre Hospitalier Universitaire Hôtel-Dieu, Nantes Cedex, France
| | - Raphaële Convers
- Cardiology Department, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
| | - Stephane Legriel
- Medical-Surgical Intensive Care Unit, Centre Hospitalier de Versailles - Site André Mignot, Le Chesnay Cedex, France
- IctalGroup, Le Chesnay, France
- UVSQ, INSERM, University Paris-Saclay, CESP, Team «PsyDev», Villejuif, France
| |
Collapse
|
210
|
Lai YC, Abou-El-Kheir G, Nguyen T, Hanerhoff M, Riviello JJ, Muscal E. Systemic inflammatory markers and EEG features of children with FIRES receiving anakinra. Ann Clin Transl Neurol 2023; 10:440-446. [PMID: 36645080 PMCID: PMC10013998 DOI: 10.1002/acn3.51714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/21/2022] [Accepted: 11/21/2022] [Indexed: 01/17/2023] Open
Abstract
In a retrospective case series of 10 children with cryptogenic FIRES, we sought to describe the early clinical course and potential biomarkers following anakinra initiation. Six children achieved anesthetic withdrawal within 3 weeks of therapy and one in week four. Of the available cEEG (six children), CRP (10 children), and serum cytokine (six children) studies, there were temporal changes in highly epileptiform bursts (observed in three children), CRP, IL-6, and IL-10 levels that might parallel clinical progression. These observations may represent candidate biomarkers for monitoring clinical progression and therapeutic interventions including anakinra, which merits further investigation in future studies.
Collapse
Affiliation(s)
- Yi-Chen Lai
- Division of Pediatric Critical Care Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Gabriella Abou-El-Kheir
- Division of Pediatric Critical Care Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Thao Nguyen
- Division of Pediatric Critical Care Medicine, Baylor College of Medicine, Houston, Texas, USA
| | | | - James J Riviello
- Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Eyal Muscal
- Division of Neurology and Developmental Neuroscience, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.,Division of Pediatric Rheumatology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| |
Collapse
|
211
|
R M, Bansal A. Multimodal Neuromonitoring in Pediatric Neurocritical Care: Current Perspectives. Indian J Pediatr 2023; 90:261-271. [PMID: 36607512 DOI: 10.1007/s12098-022-04415-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 10/28/2022] [Indexed: 01/07/2023]
Abstract
Children with neurological illness in the critical care unit are always at higher risk of developing secondary brain injury (SBI). Brain insult can lead to changes in cerebral autoregulation, intracranial pressure (ICP), cerebral oxygenation, and metabolism. This can cause a raised ICP, cerebral ischemia, hypoxia, excitotoxicity, cellular energy failure, and nonconvulsive status epilepticus. Simultaneous and continuous assessment of these parameters will help to improve patient care and neurological outcomes. Even though clinical examination and neuroimaging can help in the initial diagnosis of the neurological illness, they may not be helpful in continuous monitoring of cerebral pathophysiological changes. The ideal single neuromonitoring device to detect these real-time changes is currently unavailable. However, a range of invasive and noninvasive monitors are available to monitor these cerebral functional parameters. Invasive monitoring techniques include invasive ICP monitoring, cerebral autoregulation monitoring, brain tissue partial oxygen pressure, and cerebral microdialysis. Noninvasive-monitoring techniques include pupillometry, brain and ocular ultrasonography, near-infrared spectroscopy, and electrophysiological monitoring. Multimodal (MM) neuromonitoring involves incorporating these techniques and tools for the early identification and treatment of primary and secondary brain insults. The utility and feasibility of most of these techniques are well described in adult neurocritical care. Even though the evidence on their usage in children is primarily available in pediatric traumatic brain injury, the emerging data help to further expand their utility in pediatric nontraumatic coma. MM neuromonitoring aims to provide clinical and pathophysiological information to the intensivists to improve their understanding of the child's neurological status and to formulate patient-specific treatment approaches.
Collapse
Affiliation(s)
- Muthuvel R
- Division of Pediatric Critical Care, Department of Pediatrics, Advanced Pediatrics Center, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India
| | - Arun Bansal
- Division of Pediatric Critical Care, Department of Pediatrics, Advanced Pediatrics Center, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India.
| |
Collapse
|
212
|
Waak M, Laing J, Nagarajan L, Lawn N, Harvey AS. Continuous electroencephalography in the intensive care unit: A critical review and position statement from an Australian and New Zealand perspective. CRIT CARE RESUSC 2023; 25:9-19. [PMID: 37876987 PMCID: PMC10581281 DOI: 10.1016/j.ccrj.2023.04.004] [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: 10/26/2023]
Abstract
Objectives This article aims to critically review the literature on continuous electroencephalography (cEEG) monitoring in the intensive care unit (ICU) from an Australian and New Zealand perspective and provide recommendations for clinicians. Design and review methods A taskforce of adult and paediatric neurologists, selected by the Epilepsy Society of Australia, reviewed the literature on cEEG for seizure detection in critically ill neonates, children, and adults in the ICU. The literature on routine EEG and cEEG for other indications was not reviewed. Following an evaluation of the evidence and discussion of controversial issues, consensus was reached, and a document that highlighted important clinical, practical, and economic considerations regarding cEEG in Australia and New Zealand was drafted. Results This review represents a summary of the literature and consensus opinion regarding the use of cEEG in the ICU for detection of seizures, highlighting gaps in evidence, practical problems with implementation, funding shortfalls, and areas for future research. Conclusion While cEEG detects electrographic seizures in a significant proportion of at-risk neonates, children, and adults in the ICU, conferring poorer neurological outcomes and guiding treatment in many settings, the health economic benefits of treating such seizures remain to be proven. Presently, cEEG in Australian and New Zealand ICUs is a largely unfunded clinical resource that is subsequently reserved for the highest-impact patient groups. Wider adoption of cEEG requires further research into impact on functional and health economic outcomes, education and training of the neurology and ICU teams involved, and securement of the necessary resources and funding to support the service.
Collapse
Affiliation(s)
- Michaela Waak
- Paediatric Critical Care Research Group, Child Health Research Centre, The University of Queensland, Brisbane, Australia
- Paediatric Intensive Care Unit, Queensland Children's Hospital, South Brisbane, Australia
| | - Joshua Laing
- Department of Neurosciences, Central Clinical School, Monash University, Melbourne, Australia
- Comprehensive Epilepsy Program, Alfred Health, Melbourne, Australia
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, Australia
| | - Lakshmi Nagarajan
- Department of Neurology, Perth Children's Hospital, Perth, Australia
- Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia
- Telethon Kids Institute, Perth Children's Hospital, Perth, Australia
| | - Nicholas Lawn
- Western Australian Adult Epilepsy Service, Sir Charles Gardiner Hospital, Perth, Australia
| | - A. Simon Harvey
- Department of Neurology, The Royal Children's Hospital, Melbourne, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia
- Neurosciences Research Group, Murdoch Children's Research Institute, Melbourne, Australia
| |
Collapse
|
213
|
Oguz-Akarsu E, Salman B, Ugur-Iseri S, Baykan B. An Extraordinary EEG Phenomenon Misdiagnosed as Nonconvulsive Status Epilepticus: Frequent Subclinical Periodic Discharges Terminated by Sudden Auditory Stimuli. Clin EEG Neurosci 2023; 54:160-163. [PMID: 36198020 DOI: 10.1177/15500594221129965] [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] [Indexed: 01/10/2023]
Abstract
Triggering or modulation of seizures and rhythmic EEG patterns by external stimuli are well-known with the most common clinical appearance of stimulus induced periodic discharges (SI- PDs) patterns which are elicited by physical or auditory stimulation. However, stimulus terminated periodic discharges (ST-PDs), in other words, the periodic discharges stopped by external stimuli is an extremely rare electroencephalographic (EEG) finding. We report a 20-year-old woman with a marked psychomotor developmental delay of unknown cause, with frequent EEG patterns of long-lasting (10-60 s) bilateral paroxysmal high-voltage slow waves with occasional spikes, misdiagnosed as non-convulsive status epilepticus. However, no apparent clinical change was noted by the technician, physician, and her mother during these subclinical ictal EEG recordings. Interestingly, however, these epileptic discharges were abruptly interrupted by sudden verbal stimuli on the EEG, repeatedly. Whole exome sequencing and genotyping were performed to investigate possible genetic etiology that revealed two sequence variants, a frameshift variant of CACNA1H NM_021098.3:c.1701del;p.Asp568ThrfsTer15 and a missense variant of GRIN2D NM_000836.4:c.1783A>T;p.Thr595Ser as well as a copy number variant part deletion of ATP6V1A gene arr [hg19]3q13.31(113,499,698_113,543,081)x1 as possible pathogenic candidates. The subclinical periodic discharges terminated by verbal stimuli, is a very rare manifestation and needs particular attention. External modulation of ictal-appearing EEG patterns is important to identify stimulus terminated EEG patterns.
Collapse
Affiliation(s)
- Emel Oguz-Akarsu
- Department of Neurology and Clinical Neurophysiology, 64041Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey.,Department of Neurology, 37516Uludag School of Medicine, Uludag University, Bursa, Turkey
| | - Barıs Salman
- Department of Genetics, 37516Istanbul University, Aziz Sancar Institute of Experimental Medicine, Istanbul, Turkey.,Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey
| | - Sibel Ugur-Iseri
- Department of Genetics, 37516Istanbul University, Aziz Sancar Institute of Experimental Medicine, Istanbul, Turkey
| | - Betul Baykan
- Department of Neurology and Clinical Neurophysiology, 64041Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey
| |
Collapse
|
214
|
Zafar A. Prevalence, electroclinical spectrum and effect on the outcome of non-convulsive status epilepticus in critically ill patients; the utility of routine electroencephalogram. Epilepsy Behav 2023; 141:109144. [PMID: 36863137 DOI: 10.1016/j.yebeh.2023.109144] [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: 11/23/2022] [Revised: 02/12/2023] [Accepted: 02/12/2023] [Indexed: 03/04/2023]
Abstract
OBJECTIVES To highlight the importance of routine electroencephalogram (rEEG) in detecting non-convulsive status epilepticus (NCSE), describing the electroclinical spectrum and effect on outcome in critically ill patients with altered mental status (CIPAMS). METHODS This retrospective study was conducted at King Fahd University Hospital. Clinical data and EEG recordings of CIPAMS to rule out NCSE were reviewed. All patients had at least 30 minutes of EEG recording. The Salzburg Consensus criteria (SCC) were applied to diagnose NCSE. The data analysis was performed using SPSS version 22.0. The chi-squared test was used to compare categorical variables such as etiologies, EEG findings, and functional outcomes. Multivariable analysis was performed to identify the predictors of unfavorable outcomes. RESULTS A total of 323 CIPAMS referred to rule out NCSE were enrolled (mean age 57.8 ± 20 years). Nonconvulsive status epilepticus was diagnosed in 54 (16.7%) patients. A significant association was found between subtle clinical features and NCSE (P =< 0.01). Acute ischemic stroke (18.5%), sepsis (18.5%), and hypoxic brain injury (22.2%) were the main etiologies. The previous history of epilepsy was significantly associated with NCSE (P = 0.01). Acute stroke, cardiac arrest, mechanical ventilation, and NCSE were statistically associated with unfavorable outcomes. Nonconvulsive status epilepticus was an independent predictor of unfavorable outcomes (P = 0.02, OR = 2.75, CI = 1.16-6.48) during multivariable analysis. Sepsis was associated with higher mortality (P =< 0.01, OR = 2.4, CI = 1.4-4.0). SIGNIFICANCE Our study findings suggest that the utility of rEEG in detecting NCSE in CIPAMS should not be underestimated. Important observations further indicate that repeating rEEG is advisable, as this would increase the likelihood of identifying NCSE. Thus, physicians should consider and repeat rEEG when evaluating CIPAMS in order to detect NCSE, which is an independent predictor of unfavorable outcomes. Nonetheless, further studies comparing rEEG and cEEG yields are required to augment the current understanding of the electroclinical spectrum and better describe NCSE in CIPAMS.
Collapse
Affiliation(s)
- Azra Zafar
- Department of Neurology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia.
| |
Collapse
|
215
|
Nohara S, Abe G, Ito O, Suzuki S, Morioka T. [Sequential arterial spin labeling findings of status epilepticus showing generalized periodic discharges on EEG following acute infarction in the right occipital lobe]. Rinsho Shinkeigaku 2023; 63:78-84. [PMID: 36725014 DOI: 10.5692/clinicalneurol.cn-001775] [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: 02/01/2023]
Abstract
In addition to electroencephalogram (EEG), arterial spin labeling (ASL) perfusion images with the dual postlabeling delay (PLD) method are useful for evaluating the hemodynamic state of status epilepticus (SE). A 72-year-old man suffered from an acute infarction in the right occipital lobe, resulting in SE with general periodic discharges on EEG with a higher amplitude on the right side. On ASL, blood flow was increased at a wide area of the right hemisphere centered on this infarct. With improvement of SE, sequential ASL with dual PLD method clearly demonstrated not only the reduction of the signal both in intensity and area but also the decrease of the blood flow velocity.
Collapse
Affiliation(s)
- Sohei Nohara
- Department of Neurology, Fukuoka Kieikai Hospital
| | - Gorou Abe
- Department of Neurosurgery, Fukuoka Kieikai Hospital
| | - Osamu Ito
- Department of Neurosurgery, Fukuoka Kieikai Hospital
| | | | | |
Collapse
|
216
|
Tobochnik S, Dorotan MKC, Ghosh HS, Lapinskas E, Vogelzang J, Reardon DA, Ligon KL, Bi WL, Smirnakis SM, Lee JW. Glioma genetic profiles associated with electrophysiologic hyperexcitability. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.22.23285841. [PMID: 36865325 PMCID: PMC9980233 DOI: 10.1101/2023.02.22.23285841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Distinct genetic alterations determine glioma aggressiveness, however the diversity of somatic mutations contributing to peritumoral hyperexcitability and seizures is uncertain. In a large cohort of patients with sequenced gliomas (n=1716), we used discriminant analysis models to identify somatic mutation variants associated with electrographic hyperexcitability in a subset with continuous EEG recording (n=206). Overall tumor mutational burdens were similar between patients with and without hyperexcitability. A cross-validated model trained exclusively on somatic mutations classified the presence or absence of hyperexcitability with an overall accuracy of 70.9%, and improved estimates of hyperexcitability and anti-seizure medication failure in multivariate analysis incorporating traditional demographic factors and tumor molecular classifications. Somatic mutation variants of interest were also over-represented in patients with hyperexcitability compared to internal and external reference cohorts. These findings implicate diverse mutations in cancer genes associated with the development of hyperexcitability and response to treatment.
Collapse
Affiliation(s)
- Steven Tobochnik
- Department of Neurology, VA Boston Healthcare System, Boston, MA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA
| | | | - Hia S. Ghosh
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA
| | - Emily Lapinskas
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA
| | - Jayne Vogelzang
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA
| | - David A. Reardon
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Keith L. Ligon
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA
| | - Stelios M. Smirnakis
- Department of Neurology, VA Boston Healthcare System, Boston, MA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA
| | - Jong Woo Lee
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA
| |
Collapse
|
217
|
Jeantin L, Dupuis C, Vellieux G, Jaquet P, de Montmollin E, Timsit JF, Sonneville R. Electroencephalography for prognostication of outcome in adults with severe herpes simplex encephalitis. Ann Intensive Care 2023; 13:10. [PMID: 36821016 PMCID: PMC9950306 DOI: 10.1186/s13613-023-01110-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/12/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Electroencephalography (EEG) is recommended for the practical approach to the diagnosis and prognosis of encephalitis. We aimed to investigate the prognostic value of standard EEG (stdEEG) in adult patients with severe herpes simplex encephalitis. METHODS We performed a retrospective analysis of consecutive ICU patients with severe herpes simplex encephalitis in 38 French centers between 2006 and 2016. Patients with at least one stdEEG study performed at ICU admission were included. stdEEG findings were reviewed independently by two investigators. The association between stdEEG findings (i.e., background activity, lateralized periodic discharges, seizures/status epilepticus, and reactivity to painful/auditory stimuli) and poor functional outcome, defined by a score on the modified Rankin Scale (mRS) of 3 to 6 (moderate to severe disability or death) at 90 days, were investigated. RESULTS We included 214 patients with at least one available stdEEG study. The first stdEEG was performed after a median time of one (interquartile range (IQR) 0 to 2) day from ICU admission. At the time of recording, 138 (64.5%) patients were under invasive mechanical ventilation. Lateralized periodic discharges were recorded in 91 (42.5%) patients, seizures in 21 (9.8%) and status epilepticus in 16 (7.5%). In the whole population, reactivity to auditory/noxious stimuli was tested in 140/214 (65.4%) patients and was absent in 71/140 (33.2%) cases. In mechanically ventilated patients, stdEEG reactivity was tested in 91/138 (65.9%) subjects, and was absent in 53/91 (58.2%) cases. Absence of reactivity was the only independent stdEEG finding associated with poor functional outcome in the whole population (OR 2.80, 95% CI 1.19 to 6.58) and in the subgroup of mechanically ventilated patients (OR 4.99, 95% CI 1.6 to 15.59). Adjusted analyses for common clinical predictors of outcome and sedation at time of stdEEG revealed similar findings in the whole population (OR 2.03, 95% CI 1.18 to 3.49) and in mechanically ventilated patients (OR 2.62, 95% CI 1.25 to 5.50). CONCLUSIONS Absence of EEG reactivity to auditory/noxious stimuli is an independent marker of poor functional outcome in severe herpes simplex encephalitis.
Collapse
Affiliation(s)
- Lina Jeantin
- grid.5842.b0000 0001 2171 2558Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Université de Paris, Paris, France
| | - Claire Dupuis
- grid.411163.00000 0004 0639 4151Department of Intensive Care Medicine, Clermont-Ferrand University Hospital, 63000 Clermont-Ferrand, France
| | - Geoffroy Vellieux
- grid.462844.80000 0001 2308 1657Paris Brain Institute, ICM, Inserm, CNRS, Sorbonne Université, 75013 Paris, France ,grid.411439.a0000 0001 2150 9058Department of Neurophysiology, Pitie-Salpêtrière University Hospital, AP-HP, Paris, France
| | - Pierre Jaquet
- Department of Intensive Care Medicine, Delafontaine Hospital, Saint Denis, France
| | - Etienne de Montmollin
- grid.508487.60000 0004 7885 7602IAME, INSERM, UMR1137, Université Paris Cité, Paris, France ,grid.411119.d0000 0000 8588 831XDepartment of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, AP-HP, 46 Rue Henri Huchard, 75877 Paris Cedex, France
| | - Jean-François Timsit
- grid.508487.60000 0004 7885 7602IAME, INSERM, UMR1137, Université Paris Cité, Paris, France ,grid.411119.d0000 0000 8588 831XDepartment of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, AP-HP, 46 Rue Henri Huchard, 75877 Paris Cedex, France
| | - Romain Sonneville
- IAME, INSERM, UMR1137, Université Paris Cité, Paris, France. .,Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, AP-HP, 46 Rue Henri Huchard, 75877, Paris Cedex, France.
| | | |
Collapse
|
218
|
De Stefano P, Quintard H, Siegenthaler N, Seeck M, Picard F. Rapid recovery of EEG changes in severe hepatic encephalopathy following liver transplantation. Pract Neurol 2023; 23:253-254. [PMID: 36808079 DOI: 10.1136/pn-2022-003659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/15/2023] [Indexed: 02/22/2023]
Affiliation(s)
- Pia De Stefano
- Intensive Care Unit, Department of Intensive Care, Geneva University Hospitals, Geneva, Switzerland .,EEG and Epilepsy Unit, Neurology Unit, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Hervé Quintard
- Intensive Care Unit, Department of Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| | - Nils Siegenthaler
- Intensive Care Unit, Department of Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| | - Margitta Seeck
- EEG and Epilepsy Unit, Neurology Unit, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Fabienne Picard
- EEG and Epilepsy Unit, Neurology Unit, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| |
Collapse
|
219
|
Hanin A, Roussel D, Lecas S, Baudin P, Navarro V. Repurposing of cholesterol-lowering agents in status epilepticus: A neuroprotective effect of simvastatin. Epilepsy Behav 2023; 141:109133. [PMID: 36813661 DOI: 10.1016/j.yebeh.2023.109133] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/22/2023]
Abstract
The increase of cholesterol synthesis after a status epilepticus may lead to excitotoxic processes, neuronal loss and favor the appearance of spontaneous epileptic seizures. Lowering cholesterol content could be a neuroprotective strategy. Here, we evaluated the protective effect of simvastatin administrated daily for 14 days, after the induction of a status epilepticus by intrahippocampal injection of kainic acid in mice. The results were compared to those obtained from mice showing a kainic acid-induced status epilepticus, treated daily with a saline solution, and from mice injected with a control phosphate-buffered solution without any status epilepticus. We first assessed the antiseizure effects of simvastatin by performing video-electroencephalographic recordings during the first three hours after kainic acid injection and continuously between the fifteenth and the thirty-first days. Mice treated with simvastatin had significantly fewer generalized seizures during the first three hours without a significant effect on generalized seizures after two weeks. There was a trend for fewer hippocampal electrographic seizures after two weeks. Secondly, we evaluated the neuroprotective and anti-inflammatory effects of simvastatin by measuring the fluorescence of neuronal and astrocyte markers on the thirtieth day after status onset. We found that simvastatin reduced CA1 reactive astrocytosis, demonstrated by a significant 37% decrease in GFAP-positive cells, and that simvastatin prevented the neuronal loss in CA1, demonstrated by a significant 42% increase in the NeuN-positive cells, as compared to the findings in mice with kainic acid-induced status epilepticus treated by a saline solution. Our study confirms the interest of cholesterol-lowering agents, and in particular simvastatin, in status epilepticus and paves the way for a clinical pilot study to prevent neurological sequelae after status epilepticus. This paper was presented at the 8th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in September 2022.
Collapse
Affiliation(s)
- Aurélie Hanin
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France; AP-HP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Epilepsy Unit and Clinical Neurophysiology Department, 47 Boulevard de l'Hôpital, 75013 Paris, France; Department of Neurology and Immunobiology, Yale University School of Medicine, 06511 New Haven, CT, USA.
| | - Delphine Roussel
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France
| | - Sarah Lecas
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France
| | - Paul Baudin
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France
| | - Vincent Navarro
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France; AP-HP, Hôpital de la Pitié-Salpêtrière, DMU Neurosciences 6, Epilepsy Unit and Clinical Neurophysiology Department, 47 Boulevard de l'Hôpital, 75013 Paris, France; Centre de référence Epilepsies rares, Hôpital de la Pitié-Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France
| |
Collapse
|
220
|
Bosque Varela P, Machegger L, Oellerer A, Steinbacher J, McCoy M, Pfaff J, Trinka E, Kuchukhidze G. Imaging of status epilepticus: Making the invisible visible. A prospective study on 206 patients. Epilepsy Behav 2023; 141:109130. [PMID: 36803874 DOI: 10.1016/j.yebeh.2023.109130] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/29/2023] [Accepted: 01/30/2023] [Indexed: 02/20/2023]
Abstract
BACKGROUND Peri-ictal MRI abnormalities (PMA) frequently affect the cerebral cortex, hippocampus, pulvinar of the thalamus, corpus callosum, and cerebellum. In this prospective study, we aimed to characterize the spectrum of PMA in a large cohort of patients with status epilepticus. METHODS We prospectively recruited 206 patients with SE and an acute MRI. The MRI protocol included diffusion weighted imaging (DWI), fluid-attenuated inversion recovery (FLAIR), arterial spin labeling (ASL), and T1-weighted imaging pre-and post-contrast application. Peri-ictal MRI abnormalities were stratified as either neocortical or non-neocortical. Amygdala, hippocampus, cerebellum, and corpus callosum were regarded as non-neocortical structures. RESULTS Peri-ictal MRI abnormalities were observed in 93/206 (45%) of patients in at least one MRI sequence. Diffusion restriction was observed in 56/206 (27%) of patients, which was mainly unilateral in 42/56 (75%) affecting neocortical structures in 25/56 (45%), non-neocortical structures in 20/56 (36%) and both areas in 11/56 (19%) of patients. Cortical DWI lesions were located mostly in frontal lobes 15/25 (60%); non-neocortical diffusion restriction affected either the pulvinar of the thalamus or hippocampus 29/31 (95%). Alterations in FLAIR were observed in 37/203 (18%) of patients. They were mainly unilateral 24/37 (65%); neocortical 18/37 (49%), non-neocortical 16/37 (43%), or affecting both neocortical and non-neocortical structures 3/37 (8%). In ASL, 51/140 (37%) of patients had ictal hyperperfusion. Hyperperfused areas were located mainly in the neocortex 45/51 (88%) and were unilateral 43/51 (84%). In 39/66 (59%) of patients, PMA were reversible in one week. In 27/66 (41%), the PMA persisted and a second follow-up MRI was performed three weeks later in 24/27 (89%) patients. In 19/24 (79%) PMA were resolved. CONCLUSIONS Almost half of the patients with SE had peri-ictal MRI abnormalities. The most prevalent PMA was ictal hyperperfusion followed by diffusion restriction and FLAIR abnormalities. Neocortex was most frequently affected especially the frontal lobes. The majority of PMAs were unilateral. This paper was presented at the 8th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in September 2022.
Collapse
Affiliation(s)
- Pilar Bosque Varela
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, and Centre for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Austria
| | - Lukas Machegger
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Austria
| | - Andreas Oellerer
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Austria
| | - Jürgen Steinbacher
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Austria
| | - Mark McCoy
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, and Centre for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Austria; Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria
| | - Johannes Pfaff
- Department of Neuroradiology, Christian Doppler University Hospital, Paracelsus Medical University of Salzburg, Austria
| | - Eugen Trinka
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, and Centre for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Austria; Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria; Karl Landsteiner Institute for Neurorehabilitation and Space Neurology, Salzburg, Austria
| | - Giorgi Kuchukhidze
- Department of Neurology, Christian Doppler University Hospital, Member of the European Reference Network EpiCARE, and Centre for Cognitive Neuroscience, Paracelsus Medical University of Salzburg, Austria; Neuroscience Institute, Christian Doppler University Hospital, Salzburg, Austria.
| |
Collapse
|
221
|
Reindl C, Madžar D, Hamer HM. [Status epilepticus-Detection and treatment in the intensive care unit]. DER NERVENARZT 2023; 94:120-128. [PMID: 36534176 DOI: 10.1007/s00115-022-01418-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/08/2022] [Indexed: 12/24/2022]
Abstract
Status epilepticus is characterized by persistent or repetitive seizures which, without successful treatment, can lead to neuronal damage, neurological deficits and death of the patient.While status epilepticus with motor symptoms can usually be clinically diagnosed, nonconvulsive status epilepticus is often clinically overlooked due to its ambiguous semiology, so that electroencephalography (EEG) recording is necessary. The treatment of status epilepticus is performed in four treatment steps, whereby a difficult to treat status epilepticus is present from the third step at the latest and intensive medical care of the patient is necessary. Timely initiation of treatment and sufficient dosage of anticonvulsive medication are decisive for the success of treatment. There is little evidence for the "late" stages of treatment. Intensive medical measures pose the risk of complications that worsen the prognosis. Especially in nonconvulsive status epilepticus, the use of anesthetics must be weighed against possible complications of mechanical ventilation.
Collapse
Affiliation(s)
- Caroline Reindl
- Neurologische Klinik, Epilepsiezentrum, Universitätsklinikum Erlangen, Schwabachanlage 6, 91054, Erlangen, Deutschland.
| | - Dominik Madžar
- Neurologische Klinik, Universitätsklinikum Erlangen, Schwabachanlage 6, 91054, Erlangen, Deutschland
| | - Hajo M Hamer
- Neurologische Klinik, Epilepsiezentrum, Universitätsklinikum Erlangen, Schwabachanlage 6, 91054, Erlangen, Deutschland
| |
Collapse
|
222
|
Tabaee Damavandi P, Storti B, Fabin N, Bianchi E, Ferrarese C, DiFrancesco JC. Epilepsy in cerebral amyloid angiopathy: an observational retrospective study of a large population. Epilepsia 2023; 64:500-510. [PMID: 36515439 DOI: 10.1111/epi.17489] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 12/02/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Cerebral amyloid angiopathy (CAA) is a major cause of spontaneous intracranial hemorrhage in older adults. Epilepsy represents a possible sequela of the disease. To date, studies on epilepsy in CAA are lacking, and the few data available mainly focus on CAA-related inflammation (CAA-ri), the inflammatory form of the disease. METHODS In this retrospective observational study, we consecutively recruited CAA patients observed over a time span of 10 years, collecting demographic, clinical, and instrumental data. Significant baseline characteristics were evaluated as potential risk factors for the development of epilepsy in the CAA population, and in the subgroups of CAA-ri and CAA without inflammatory reaction (CAA-nri). The effect of potential risk factors for epilepsy was measured as odds ratio with 95% confidence interval. RESULTS Within 96 recruited CAA cases, 33 (34.4%) developed epilepsy during follow-up (median = 13.5 months). The prevalent type of seizure was focal (81.3%); 12.1% of the epileptic patients presented status epilepticus, and 6.1% developed drug-resistant epilepsy. Electroencephalographic traces revealed slow and epileptic discharge activity in the majority of epileptic patients, but also in those without epilepsy. The presence of focal or disseminated cortical superficial siderosis (cSS) was associated with an increased risk of epilepsy in the CAA-nri group, and the association with CAA-ri and epilepsy was present in the overall population. SIGNIFICANCE Epilepsy is a common manifestation during the course of CAA, where CAA-ri and cSS represent predisposing factors for the development of seizures. These data suggest the importance of a deep characterization of CAA patients, to better select those more prone to develop epilepsy.
Collapse
Affiliation(s)
- Payam Tabaee Damavandi
- Department of Neurology, ASST San Gerardo Hospital, School of Medicine and Surgery and Milan Center for Neuroscience, University of Milan-Bicocca, Monza, Italy
| | - Benedetta Storti
- Department of Neurology, ASST San Gerardo Hospital, School of Medicine and Surgery and Milan Center for Neuroscience, University of Milan-Bicocca, Monza, Italy
| | - Natalia Fabin
- Laboratory of Epidemiological and Clinical Cardiology, Department of Experimental, Diagnostic, and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Elisa Bianchi
- Neurological Disorders, Mario Negri Institute of Pharmacological Research, Scientific Institute for Research and Health Care, Milan, Italy
| | - Carlo Ferrarese
- Department of Neurology, ASST San Gerardo Hospital, School of Medicine and Surgery and Milan Center for Neuroscience, University of Milan-Bicocca, Monza, Italy
| | - Jacopo C DiFrancesco
- Department of Neurology, ASST San Gerardo Hospital, School of Medicine and Surgery and Milan Center for Neuroscience, University of Milan-Bicocca, Monza, Italy
| |
Collapse
|
223
|
Phamnguyen TJ, Szekely A, Swinburn S, Babu S, Boland-Freitas R, Reutens D, Wolfe N. Usefulness and yield of routine electroencephalogram: a retrospective study. Intern Med J 2023; 53:236-241. [PMID: 34611977 DOI: 10.1111/imj.15556] [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: 07/24/2021] [Revised: 09/26/2021] [Accepted: 09/28/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND The electroencephalogram (EEG) is a common diagnostic tool used to investigate patients for various indications including seizure disorders. AIMS To investigate factors that predict the presence of epileptiform abnormalities on EEG and review the common indications for ordering an EEG. METHODS We retrospectively reviewed all routine adult EEG performed in a hospital over a 6-month period. Data collated included patient demographics, clinical indication for EEG, setting in which EEG was performed, activation procedures utilised, history of epilepsy, and whether the patient was on antiepileptic medication. Our primary objective was to evaluate the factors that were predictive of an EEG with epileptiform abnormalities. RESULTS Two hundred and thirty-nine routine EEG were included with indications, including first seizure (25.9%), known epilepsy (25.1%), cognitive change (15.9%), syncope (15.0%), movement disorder (6.7%), psychogenic non-epileptic events (5.4%), unresponsiveness/intensive care unit (4.6%) and psychiatric presentation (1.3%). Most (48.1%) EEG were normal; 8.9% of the EEG demonstrated epileptiform abnormalities. Using multivariate logistic regression, three variables proved significant in predicting an EEG with epileptiform abnormalities. Any seizure as an indication (first seizure or seizure in known epileptic), increasing patient age, and EEG conducted in an inpatient setting and within 48 h of seizure event were all statistically more likely to yield epileptiform abnormalities on EEG. CONCLUSIONS Our findings suggest that careful selection of patients based on appropriate indications for EEG referral would likely improve the yield of an EEG. Depending on the indication, a normal EEG result can be of similar usefulness to an abnormal EEG demonstrating epileptiform abnormalities.
Collapse
Affiliation(s)
- Thienan John Phamnguyen
- Neurology Department, Blacktown Hospital, Sydney, New South Wales, Australia.,Neurology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.,Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Alison Szekely
- Neurology Department, Blacktown Hospital, Sydney, New South Wales, Australia
| | - Samuel Swinburn
- Neurology Department, Blacktown Hospital, Sydney, New South Wales, Australia
| | - Sangamithra Babu
- Neurology Department, Blacktown Hospital, Sydney, New South Wales, Australia.,Neurology Department, Westmead Hospital, Sydney, New South Wales, Australia
| | | | - David Reutens
- Neurology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.,Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Nigel Wolfe
- Neurology Department, Blacktown Hospital, Sydney, New South Wales, Australia.,Neurology Department, Westmead Hospital, Sydney, New South Wales, Australia
| |
Collapse
|
224
|
Gupta N, Baang HY, Barrett W, Reisbig K, Bendlin KA, Coleman SA, Samson K, Taraschenko O. Reducing seizure to needle times in nonconvulsive status epilepticus with multifaceted quality improvement initiatives. Epilepsy Res 2023; 190:107085. [PMID: 36640479 PMCID: PMC9979156 DOI: 10.1016/j.eplepsyres.2023.107085] [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: 07/27/2022] [Revised: 01/05/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023]
Abstract
OBJECTIVES Delayed management of nonconvulsive status epilepticus (NCSE) can lead to an increased morbidity and mortality. We previously established that inefficient treatment of NCSE at our institution stemmed from delayed initiation of emergent anti-seizure medications (ASM). In the present study, we assessed the trajectories of these time parameters and determined patient outcomes following the specific quality improvement (QI) interventions. METHODS The QI interventions, including the revision of the educational content for trainees and pharmacy workflow optimization were implemented between January 2019 and September 2021 by a dedicated multidisciplinary task force. The times needed to initiate and administer the ASMs for patients with NCSE as well as patient mortality were assessed in comatose and noncomatose patients and compared with the corresponding values prior to the interventions. RESULTS There were 79 occurrences of NCSE in 74 patients. The median time from seizure detection on EEG to the order of the first and second ASM for NCSE was reduced by 4 (p = 0.83) and 8 min (p = 0.52), respectively compared to the times prior to the initiation of interventions. The median times from the order to administration of the first and third ASM for all NCSE occurrences were reduced by 8 and 10 min, respectively (p = 0.28 and p = 0.10). In the present cohort of comatose patients, the median time spent to order the first ASM was reduced by 16.5 min and the time to administer it reduced by 35 min compared to that in our previous study. The overall patient mortality was decreased by 11.1%. SIGNIFICANCE More efficient delivery of rescue ASMs in patients with NCSE and improvement in their mortality can be achieved with multidisciplinary team efforts aimed at streamlining the functioning of pharmacy and strengthening the education of trainees and nurses.
Collapse
Affiliation(s)
- Navnika Gupta
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Hae Y Baang
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Wattana Barrett
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Kayli A Bendlin
- Acute Care Pharmacy, Nebraska Medicine Hospital, Omaha, NE, USA
| | - Scott A Coleman
- Acute Care Pharmacy, Nebraska Medicine Hospital, Omaha, NE, USA
| | - Kaeli Samson
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA
| | - Olga Taraschenko
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.
| |
Collapse
|
225
|
Fleischmann A, Georgii MT, Schuessler J, Schneider G, Pilge S, Kreuzer M. Always Assess the Raw Electroencephalogram: Why Automated Burst Suppression Detection May Not Detect All Episodes. Anesth Analg 2023; 136:346-354. [PMID: 35653440 DOI: 10.1213/ane.0000000000006098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Electroencephalogram (EEG)-based monitors of anesthesia are used to assess patients' level of sedation and hypnosis as well as to detect burst suppression during surgery. One of these monitors, the Entropy module, uses an algorithm to calculate the burst suppression ratio (BSR) that reflects the percentage of suppressed EEG. Automated burst suppression detection monitors may not reliably detect this EEG pattern. Hence, we evaluated the detection accuracy of BSR and investigated the EEG features leading to errors in the identification of burst suppression. METHODS With our study, we were able to compare the performance of the BSR to the visual burst suppression detection in the raw EEG and obtain insights on the architecture of the unrecognized burst suppression phases. RESULTS We showed that the BSR did not detect burst suppression in 13 of 90 (14%) patients. Furthermore, the time comparison between the visually identified burst suppression duration and elevated BSR values strongly depended on the BSR value being used as a cutoff. A possible factor for unrecognized burst suppression by the BSR may be a significantly higher suppression amplitude ( P = .002). Six of the 13 patients with undetected burst suppression by BSR showed intraoperative state entropy values >80, indicating a risk of awareness while being in burst suppression. CONCLUSIONS Our results complement previous results regarding the underestimation of burst suppression by other automated detection modules and highlight the importance of not relying solely on the processed index, but to assess the native EEG during anesthesia.
Collapse
Affiliation(s)
- Antonia Fleischmann
- From the Department of Anesthesiology and Intensive Care, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | | | | | | | | | | |
Collapse
|
226
|
Misirocchi F, Bernabè G, Zinno L, Spallazzi M, Zilioli A, Mannini E, Lazzari S, Tontini V, Mutti C, Parrino L, Picetti E, Florindo I. Epileptiform patterns predicting unfavorable outcome in postanoxic patients: A matter of time? Neurophysiol Clin 2023; 53:102860. [PMID: 37011480 DOI: 10.1016/j.neucli.2023.102860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 03/17/2023] [Accepted: 03/18/2023] [Indexed: 04/03/2023] Open
Abstract
OBJECTIVE Historically, epileptiform malignant EEG patterns (EMPs) have been considered to anticipate an unfavorable outcome, but an increasing amount of evidence suggests that they are not always or invariably associated with poor prognosis. We evaluated the prognostic significance of an EMP onset in two different timeframes in comatose patients after cardiac arrest (CA): early-EMPs and late-EMPs, respectively. METHODS We included all comatose post-CA survivors admitted to our intensive care unit (ICU) between 2016 and 2018 who underwent at least two 30-minute EEGs, collected at T0 (12-36 h after CA) and T1 (36-72 h after CA). All EEGs recordings were re-analyzed following the 2021 ACNS terminology by two senior EEG specialists, blinded to outcome. Malignant EEGs with abundant sporadic spikes/sharp waves, rhythmic and periodic patterns, or electrographic seizure/status epilepticus, were included in the EMP definition. The primary outcome was the cerebral performance category (CPC) score at 6 months, dichotomized as good (CPC 1-2) or poor (CPC 3-5) outcome. RESULTS A total of 58 patients and 116 EEG recording were included in the study. Poor outcome was seen in 28 (48%) patients. In contrast to late-EMPs, early-EMPs were associated with a poor outcome (p = 0.037), persisting after multiple regression analysis. Moreover, a multivariate binomial model coupling the timing of EMP onset with other EEG predictors such as T1 reactivity and T1 normal voltage background can predict outcome in the presence of an otherwise non-specific malignant EEG pattern with quite high specificity (82%) and moderate sensitivity (77%). CONCLUSIONS The prognostic significance of EMPs seems strongly time-dependent and only their early-onset may be associated with an unfavorable outcome. The time of onset of EMP combined with other EEG features could aid in defining prognosis in patients with intermediate EEG patterns.
Collapse
|
227
|
Liuzzi P, Grippo A, Draghi F, Hakiki B, Macchi C, Cecchi F, Mannini A. Can Respiration Complexity Help the Diagnosis of Disorders of Consciousness in Rehabilitation? Diagnostics (Basel) 2023; 13:diagnostics13030507. [PMID: 36766612 PMCID: PMC9914359 DOI: 10.3390/diagnostics13030507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/23/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Autonomic Nervous System (ANS) activity, as cardiac, respiratory and electrodermal activity, has been shown to provide specific information on different consciousness states. Respiration rates (RRs) are considered indicators of ANS activity and breathing patterns are currently already included in the evaluation of patients in critical care. OBJECTIVE The aim of this work was to derive a proxy of autonomic functions via the RR variability and compare its diagnostic capability with known neurophysiological biomarkers of consciousness. METHODS In a cohort of sub-acute patients with brain injury during post-acute rehabilitation, polygraphy (ECG, EEG) recordings were collected. The EEG was labeled via descriptors based on American Clinical Neurophysiology Society terminology and the respiration variability was extracted by computing the Approximate Entropy (ApEN) of the ECG-derived respiration signal. Competing logistic regressions were applied to evaluate the improvement in model performances introduced by the RR ApEN. RESULTS Higher RR complexity was significantly associated with higher consciousness levels and improved diagnostic models' performances in contrast to the ones built with only electroencephalographic descriptors. CONCLUSIONS Adding a quantitative, instrumentally based complexity measure of RR variability to multimodal consciousness assessment protocols may improve diagnostic accuracy based only on electroencephalographic descriptors. Overall, this study promotes the integration of biomarkers derived from the central and the autonomous nervous system for the most comprehensive diagnosis of consciousness in a rehabilitation setting.
Collapse
Affiliation(s)
- Piergiuseppe Liuzzi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, 50143 Firenze, Italy
- Istituto di BioRobotica, Scuola Superiore Sant’Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera, Italy
| | - Antonello Grippo
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, 50143 Firenze, Italy
| | - Francesca Draghi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, 50143 Firenze, Italy
| | - Bahia Hakiki
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, 50143 Firenze, Italy
- Correspondence: ; Tel.: +39-333-401-8388
| | - Claudio Macchi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, 50143 Firenze, Italy
- Dipartimento di Medicina Sperimentale e Clinica, Universita di Firenze, Largo Brambilla 3, 50134 Firenze, Italy
| | - Francesca Cecchi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, 50143 Firenze, Italy
- Istituto di BioRobotica, Scuola Superiore Sant’Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera, Italy
- Dipartimento di Medicina Sperimentale e Clinica, Universita di Firenze, Largo Brambilla 3, 50134 Firenze, Italy
| | - Andrea Mannini
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, 50143 Firenze, Italy
| |
Collapse
|
228
|
Asemota B, Dohmeier JM, Singh N, Gienapp AJ, Rivas-Coppola M, Chourasia N. Rhythmic mid-Temporal Theta of Drowsiness Activated by Hyperventilation- Uncommon Trigger of a Rare Benign EEG Variant in Pediatrics. An Educational Review. Child Neurol Open 2023; 10:2329048X231153506. [PMID: 36726798 PMCID: PMC9884947 DOI: 10.1177/2329048x231153506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/21/2022] [Accepted: 01/09/2023] [Indexed: 01/28/2023] Open
Abstract
Distinguishing abnormal electroencephalogram (EEG) waveforms from benign variants is critical for accurate interpretation of EEG. Hyperventilation (HV) is one of the basic procedures during EEG to enable activation of epileptiform activity. Rarely, HV can activate benign EEG rhythms. Herein, we illustrate two pediatric cases with bursts of rhythmic mid-temporal theta of drowsiness (RMTD), activated by hyperventilation. Continued awareness of this EEG phenomenology and its variations in pediatrics is important in avoiding misdiagnosis of epilepsy.
Collapse
Affiliation(s)
- Brooke Asemota
- Neuroscience Institute, Le Bonheur Children's Hospital, Memphis, TN,
USA,Division of Pediatric Neurology, The University of Tennessee Health
Science Center, Memphis, TN, USA
| | - Jacob M. Dohmeier
- Division of Pediatric Neurology, The University of Tennessee Health
Science Center, Memphis, TN, USA
| | - Nupur Singh
- Division of Pediatric Neurology, The University of Tennessee Health
Science Center, Memphis, TN, USA
| | - Andrew J. Gienapp
- Children's Foundation Research Institute, Le Bonheur Children's
Hospital, Memphis, TN, USA,Department of Neurosurgery, The University of Tennessee Health
Science Center, Memphis, TN, USA
| | - Marianna Rivas-Coppola
- Neuroscience Institute, Le Bonheur Children's Hospital, Memphis, TN,
USA,Division of Pediatric Neurology, The University of Tennessee Health
Science Center, Memphis, TN, USA
| | - Nitish Chourasia
- Neuroscience Institute, Le Bonheur Children's Hospital, Memphis, TN,
USA,Division of Pediatric Neurology, The University of Tennessee Health
Science Center, Memphis, TN, USA,Nitish Chourasia, Neuroscience Institute,
Le Bonheur Children's Hospital, 848 Adams Ave., 3rd floor Neurology, Memphis,TN
38103, USA.
| |
Collapse
|
229
|
Knipe MF, Bush WW, Thomas KE, Williams DC. Periodic discharges in veterinary electroencephalography-A visual review. Front Vet Sci 2023; 10:1037404. [PMID: 36777678 PMCID: PMC9909489 DOI: 10.3389/fvets.2023.1037404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/03/2023] [Indexed: 01/27/2023] Open
Abstract
First described in human EEG over 60 years ago, there are very few examples of periodic discharges in the veterinary literature. They are associated with a wide variety of etiologies, both intracranial and systemic, making interpretation challenging. Whether these patterns are indicative of ictal, interictal, or postictal activity is a matter of debate and may vary depending on the clinical features in an individual patient. Periodic discharges have a repeated waveform occurring at nearly regular intervals, with varying morphology of individual discharges from simple sharp waves or slow waves to more complex events. Amplitudes, frequencies, and morphologies of the discharges can fluctuate, occasionally evolving, or resolving over time. This study presents a visual review of several veterinary cases with periodic discharges on EEG similar to those described in human EEG, and discusses the current known pathophysiology of these discharges.
Collapse
Affiliation(s)
- Marguerite F. Knipe
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States,*Correspondence: Marguerite F. Knipe ✉
| | - William W. Bush
- Bush Veterinary Neurology Service, Leesburg, VA, United States
| | | | - D. Colette Williams
- School of Veterinary Medicine, William R. Pritchard Veterinary Medical Teaching Hospital, University of California, Davis, Davis, CA, United States
| |
Collapse
|
230
|
Martinez P, Sheikh I, Westover MB, Zafar SF. Implications of stimulus-induced, rhythmic, periodic, or ictal discharges (SIRPIDs) in hospitalized patients. Front Neurol 2023; 13:1062330. [PMID: 36756343 PMCID: PMC9899805 DOI: 10.3389/fneur.2022.1062330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/29/2022] [Indexed: 01/24/2023] Open
Abstract
Background Stimulus-induced electroencephalographic (EEG) patterns are commonly seen in acutely ill patients undergoing continuous EEG monitoring. Despite ongoing investigations, the pathophysiology, therapeutic and prognostic significance of stimulus-induced rhythmic, periodic or ictal discharges (SIRPIDs) and how it applies to specific pathologies remain unclear. We aimed to investigate the clinical implications of SIRPIDs in hospitalized patients. Methods This is a retrospective single-center study of hospitalized patients from May 2016 to August 2017. We included patients above the age of 18 years who underwent >16 h of EEG monitoring during a single admission. We excluded patients with cardiac arrest and anoxic brain injury. Demographic data were obtained as well as admission GCS, and discharge modified Rankin Score (mRS). EEGs were reviewed for background activity in addition to epileptiform, periodic, and rhythmic patterns. The presence or absence of SIRPIDs was recorded. Our outcome was discharge mRS defined as good outcome, mRS 0-4, and poor outcome mRS, 5-6. Results A total of 351 patients were included in the final analysis. The median age was 63 years and 175 (50%) were women. SIRPIDs were identified in 82 patients (23.4%). Patients with SIRPIDs had a median initial GCS of 12 (IQR, 6-15) and a length of stay of 12 days (IQR, 6-15). They were more likely to have absent posterior dominant rhythm, decreased reactivity, and more likely to have spontaneous periodic and rhythmic patterns and higher frequency of burst suppression. After adjusting for baseline clinical variables, underlying disease type and severity, and EEG background features, the presence of SIRPIDs was also associated with poor outcomes classified as MRS 5 or 6 (OR 4.75 [2.74-8.24] p ≤ 0.0001). Conclusion In our cohort of hospitalized patients excluding anoxic brain injury, SIRPIDs were identified in 23.4% and were seen most commonly in patients with primary systemic illness. We found SIRPIDs were independently associated with poor neurologic outcomes. Several studies are indicated to validate these findings and determine the risks vs. benefits of anti-seizure treatment.
Collapse
|
231
|
Normative Structure of Resting-State EEG in Bipolar Derivations for Daily Clinical Practice: A Pilot Study. Brain Sci 2023; 13:brainsci13020167. [PMID: 36831710 PMCID: PMC9953767 DOI: 10.3390/brainsci13020167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 01/20/2023] Open
Abstract
We used numerical methods to define the normative structure of resting-state EEG (rsEEG) in a pilot study of 37 healthy subjects (10-74 years old), using a double-banana bipolar montage. Artifact-free 120-200 s epoch lengths were visually identified and divided into 1 s windows with a 10% overlap. Differential channels were grouped by frontal, parieto-occipital, and temporal lobes. For every channel, the power spectrum was calculated and used to compute the area for delta (0-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz) bands and was log-transformed. Furthermore, Shannon's spectral entropy (SSE) and coherence by bands were computed. Finally, we also calculated the main frequency and amplitude of the posterior dominant rhythm. According to the age-dependent distribution of the bands, we divided the patients in the following three groups: younger than 20; between 21 and 50; and older than 51 years old. The distribution of bands and coherence was different for the three groups depending on the brain lobes. We described the normative equations for the three age groups and for every brain lobe. We showed the feasibility of a normative structure of rsEEG picked up with a double-banana montage.
Collapse
|
232
|
Aellen FM, Alnes SL, Loosli F, Rossetti AO, Zubler F, De Lucia M, Tzovara A. Auditory stimulation and deep learning predict awakening from coma after cardiac arrest. Brain 2023; 146:778-788. [PMID: 36637902 PMCID: PMC9924902 DOI: 10.1093/brain/awac340] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 06/28/2022] [Accepted: 09/02/2022] [Indexed: 01/14/2023] Open
Abstract
Assessing the integrity of neural functions in coma after cardiac arrest remains an open challenge. Prognostication of coma outcome relies mainly on visual expert scoring of physiological signals, which is prone to subjectivity and leaves a considerable number of patients in a 'grey zone', with uncertain prognosis. Quantitative analysis of EEG responses to auditory stimuli can provide a window into neural functions in coma and information about patients' chances of awakening. However, responses to standardized auditory stimulation are far from being used in a clinical routine due to heterogeneous and cumbersome protocols. Here, we hypothesize that convolutional neural networks can assist in extracting interpretable patterns of EEG responses to auditory stimuli during the first day of coma that are predictive of patients' chances of awakening and survival at 3 months. We used convolutional neural networks (CNNs) to model single-trial EEG responses to auditory stimuli in the first day of coma, under standardized sedation and targeted temperature management, in a multicentre and multiprotocol patient cohort and predict outcome at 3 months. The use of CNNs resulted in a positive predictive power for predicting awakening of 0.83 ± 0.04 and 0.81 ± 0.06 and an area under the curve in predicting outcome of 0.69 ± 0.05 and 0.70 ± 0.05, for patients undergoing therapeutic hypothermia and normothermia, respectively. These results also persisted in a subset of patients that were in a clinical 'grey zone'. The network's confidence in predicting outcome was based on interpretable features: it strongly correlated to the neural synchrony and complexity of EEG responses and was modulated by independent clinical evaluations, such as the EEG reactivity, background burst-suppression or motor responses. Our results highlight the strong potential of interpretable deep learning algorithms in combination with auditory stimulation to improve prognostication of coma outcome.
Collapse
Affiliation(s)
- Florence M Aellen
- Correspondence to: Florence Aellen University of Bern; Institute for Computer Science Neubrückstrasse 10; CH-3012 Bern E-mail:
| | - Sigurd L Alnes
- Institute of Computer Science, University of Bern, Bern, Switzerland,Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fabian Loosli
- Institute of Computer Science, University of Bern, Bern, Switzerland
| | - Andrea O Rossetti
- Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Frédéric Zubler
- Sleep-Wake-Epilepsy-Center, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Marzia De Lucia
- Laboratory for Research in Neuroimaging (LREN), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Athina Tzovara
- Correspondence may also be addressed to: Athina Tzovara E-mail:
| |
Collapse
|
233
|
Sutter R, Jünger AL, Baumann SM, Grzonka P, De Stefano P, Fisch U. Balancing the risks and benefits of anesthetics in status epilepticus. Epilepsy Behav 2023; 138:109027. [PMID: 36496337 DOI: 10.1016/j.yebeh.2022.109027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/23/2022] [Accepted: 11/23/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE According to international guidelines, status epilepticus refractory to first- and second-line antiseizure medication should be treated with anesthetics. Therefore, continuously delivered intravenous midazolam, propofol, or barbiturates are recommended as third-line therapy. While electroencephalographically (EEG)-controlled titration of anesthetics to seizure termination or to the emergence of an EEG burst-suppression pattern makes sense, evidence of the efficacy and tolerability of such third-line treatment is limited and concerns regarding the risks of anesthesia remain. The lack of treatment alternatives and persistent international discord reflecting contradictory results from some studies leave clinicians on their own when deciding to escalate treatment. In this conference-accompanying narrative review, we highlight the challenges of EEG-monitored third-line treatment and discuss recent studies that examined earlier administration of anesthetics. RESULTS Based on the literature, maintaining continuous burst suppression is difficult despite the constant administration of anesthetics, and the evidence for burst suppression as an adequate surrogate target is limited by methodological shortcomings as acknowledged by international guidelines. In our Swiss cohort including 102 patients with refractory status epilepticus, burst suppression as defined by the American Clinical Neurophysiology Society's Critical Care EEG Terminology 2021 was established in only 21%. Besides case reports suggesting that rapid but short-termed anesthesia can be sufficient to permanently stop seizures, a study including 205 patients revealed that anesthesia as second-line treatment was associated with a shorter median duration of status epilepticus (0.5 versus 12.5 days, p < 0.001), median ICU (2 versus 5.5 days, p < 0.001) and hospital stay (8 versus 17 days, p < 0.001) with equal rates of complications when compared to anesthesia as third-line treatment. CONCLUSIONS Recent investigations have led to important findings and new insights regarding the use of anesthetics in refractory status epilepticus. However, numerous methodological limitations and remaining questions need to be considered when it comes to the translation into clinical practice, and, in consequence, call for prospective randomized studies. This paper was presented at the 8th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in September 2022.
Collapse
Affiliation(s)
- Raoul Sutter
- Intensive Care Medicine, Department of Acute Medical Care, University Hospital Basel, Basel, Switzerland; Department of Neurology, University Hospital Basel, Basel, Switzerland; Medical Faculty of the University of Basel, Basel, Switzerland.
| | - Anja L Jünger
- Intensive Care Medicine, Department of Acute Medical Care, University Hospital Basel, Basel, Switzerland; Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Sira M Baumann
- Intensive Care Medicine, Department of Acute Medical Care, University Hospital Basel, Basel, Switzerland
| | - Pascale Grzonka
- Intensive Care Medicine, Department of Acute Medical Care, University Hospital Basel, Basel, Switzerland
| | - Pia De Stefano
- Neuro-Intensive Care Unit, Department of Intensive Care, University Hospital of Geneva, Geneva, Switzerland; EEG and Epilepsy Unit, Department of Clinical Neurosciences and Faculty of Medicine of Geneva, University Hospital of Geneva, Geneva, Switzerland
| | - Urs Fisch
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| |
Collapse
|
234
|
Fenter H, Ben-Hamouda N, Novy J, Rossetti AO. Benign EEG for prognostication of favorable outcome after cardiac arrest: A reappraisal. Resuscitation 2023; 182:109637. [PMID: 36396011 DOI: 10.1016/j.resuscitation.2022.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 11/16/2022]
Abstract
AIM The current EEG role for prognostication after cardiac arrest (CA) essentially aims at reliably identifying patients with poor prognosis ("highly malignant" patterns, defined by Westhall et al. in 2014). Conversely, "benign EEGs", defined by the absence of elements of "highly malignant" and "malignant" categories, has limited sensitivity in detecting good prognosis. We postulate that a less stringent "benign EEG" definition would improve sensitivity to detect patients with favorable outcomes. METHODS Retrospectively assessing our registry of unconscious adults after CA (1.2018-8.2021), we scored EEGs within 72 h after CA using a modified "benign EEG" classification (allowing discontinuity, low-voltage, or reversed anterio-posterior amplitude development), versus Westhall's "benign EEG" classification (not allowing the former items). We compared predictive performances towards good outcome (Cerebral Performance Category 1-2 at 3 months), using 2x2 tables (and binomial 95% confidence intervals) and proportions comparisons. RESULTS Among 381 patients (mean age 61.9 ± 15.4 years, 104 (27.2%) females, 240 (62.9%) having cardiac origin), the modified "benign EEG" definition identified a higher number of patients with potential good outcome (252, 66%, vs 163, 43%). Sensitivity of the modified EEG definition was 0.97 (95% CI: 0.92-0.97) vs 0.71 (95% CI: 0.62-0.78) (p < 0.001). Positive predictive values (PPV) were 0.53 (95% CI: 0.46-0.59) versus 0.59 (95% CI: 0.51-0.67; p = 0.17). Similar statistics were observed at definite recording times, and for survivors. DISCUSSION The modified "benign EEG" classification demonstrated a markedly higher sensitivity towards favorable outcome, with minor impact on PPV. Adaptation of "benign EEG" criteria may improve efficient identification of patients who may reach a good outcome.
Collapse
Affiliation(s)
- Hélène Fenter
- Department of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nawfel Ben-Hamouda
- Department of Adult Intensive Care Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jan Novy
- Department of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Andrea O Rossetti
- Department of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
| |
Collapse
|
235
|
Chao JY, Tam M, Ferrera A, Ivenitsky D, Gizzo L, Schwartz R, Legatt AD, Yozawitz EG, Lo Y, Li G, Shinnar S. Epileptiform discharges, electrographic seizures, and electroclinical seizures during paediatric sevoflurane anaesthesia: a systematic review and proposal for standard definitions. Br J Anaesth 2023; 130:e18-e21. [PMID: 36333161 PMCID: PMC10925854 DOI: 10.1016/j.bja.2022.09.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/30/2022] [Accepted: 09/24/2022] [Indexed: 11/05/2022] Open
Affiliation(s)
- Jerry Y Chao
- Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Matthew Tam
- Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Daria Ivenitsky
- University of New England College of Osteopathic Medicine, Biddeford, ME, USA
| | - Luciana Gizzo
- University of New England College of Osteopathic Medicine, Biddeford, ME, USA
| | - Rachel Schwartz
- D. Samuel Gottesman Library, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Alan D Legatt
- The Saul R. Korey Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA; Dominick P. Purpura Department of Neuroscience, Department of Medicine (Critical Care), Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Elissa G Yozawitz
- The Isabelle Rapin Division of Child Neurology of the Saul R. Korey Department of Neurology, Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Pediatrics, Children's Hopsital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yungtai Lo
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Guohua Li
- Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Shlomo Shinnar
- The Isabelle Rapin Division of Child Neurology of the Saul R. Korey Department of Neurology, Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Pediatrics, Children's Hopsital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| |
Collapse
|
236
|
Corsi L, Liuzzi P, Ballanti S, Scarpino M, Maiorelli A, Sterpu R, Macchi C, Cecchi F, Hakiki B, Grippo A, Lanatà A, Carrozza MC, Bocchi L, Mannini A. EEG asymmetry detection in patients with severe acquired brain injuries via machine learning methods. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
237
|
Abe K, Shimogawa T, Mukae N, Ikuta K, Shono T, Tanaka A, Sakata A, Shigeto H, Yoshimoto K, Morioka T. Detection of ictal and periictal hyperperfusion with subtraction of ictal-interictal 1.5-Tesla pulsed arterial spin labeling images co-registered to conventional magnetic resonance images (SIACOM). Surg Neurol Int 2023; 14:84. [PMID: 37025532 PMCID: PMC10070274 DOI: 10.25259/sni_723_2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 02/22/2023] [Indexed: 04/08/2023] Open
Abstract
Background Our recent report showed that 1.5-T pulsed arterial spin labeling (ASL) magnetic resonance (MR) perfusion imaging (1.5-T Pulsed ASL [PASL]), which is widely available in the field of neuroemergency, is useful for detecting ictal hyperperfusion. However, the visualization of intravascular ASL signals, namely, arterial transit artifact (ATA), is more remarkable than that of 3-T pseudocontinuous ASL and is easily confused with focal hyperperfusion. To eliminate ATA and enhance the detectability of (peri) ictal hyperperfusion, we developed the subtraction of ictal-interictal 1.5-T PASL images co-registered to conventional MR images (SIACOM). Methods We retrospectively analyzed the SIACOM findings in four patients who underwent ASL during both (peri) ictal and interictal states and examined the detectability for (peri) ictal hyperperfusion. Results In all patients, the ATA of the major arteries was almost eliminated from the subtraction image of the ictal-interictal ASL. In patients 1 and 2 with focal epilepsy, SIACOM revealed a tight anatomical relationship between the epileptogenic lesion and the hyperperfusion area compared with the original ASL image. In patient 3 with situation-related seizures, SIACOM detected minute hyperperfusion at the site coinciding with the abnormal electroencephalogram area. SIACOM of patient 4 with generalized epilepsy diagnosed ATA of the right middle cerebral artery, which was initially thought to be focal hyperperfusion on the original ASL image. Conclusion Although it is necessary to examine several patients, SIACOM can eliminate most of the depiction of ATA and clearly demonstrate the pathophysiology of each epileptic seizure.
Collapse
Affiliation(s)
- Keisuke Abe
- Department of Neurosurgery, Harasanshin Hospital, Fukuoka, Japan
| | - Takafumi Shimogawa
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Corresponding author: Takafumi Shimogawa, Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Nobutaka Mukae
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Koumei Ikuta
- Department of Radiology, Harasanshin Hospital, Fukuoka, Japan
| | - Tadahisa Shono
- Department of Neurosurgery, Harasanshin Hospital, Fukuoka, Japan
| | - Atsuo Tanaka
- Department of Radiology, Harasanshin Hospital, Fukuoka, Japan
| | - Ayumi Sakata
- Department of Clinical Chemistry and Laboratory Medicine, Kyushu University Hospital, Fukuoka, Japan
- Division of Medical Technology, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroshi Shigeto
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Division of Medical Technology, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Koji Yoshimoto
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takato Morioka
- Department of Neurosurgery, Harasanshin Hospital, Fukuoka, Japan
- Department of Neurosurgery, Hachisuga Hospital, Munakata, Japan
| |
Collapse
|
238
|
Köstner M, Rebsamen M, Radojewski P, Rummel C, Jin B, Meier R, Ahmadli U, Schindler K, Wiest R. Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysis. Brain Commun 2023; 5:fcad047. [PMID: 36926367 PMCID: PMC10012410 DOI: 10.1093/braincomms/fcad047] [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: 04/10/2022] [Revised: 12/08/2022] [Accepted: 02/23/2023] [Indexed: 02/25/2023] Open
Abstract
Epileptic seizures require a rapid and safe diagnosis to minimize the time from onset to adequate treatment. Some epileptic seizures can be diagnosed clinically with the respective expertise. For more subtle seizures, imaging is mandatory to rule out treatable structural lesions and potentially life-threatening conditions. MRI perfusion abnormalities associated with epileptic seizures have been reported in CT and MRI studies. However, the interpretation of transient peri-ictal MRI abnormalities is routinely based on qualitative visual analysis and therefore reader dependent. In this retrospective study, we investigated the diagnostic yield of visual analysis of perfusion MRI during ictal and postictal states based on comparative expert ratings in 51 patients. We further propose an automated semi-quantitative method for perfusion analysis to determine perfusion abnormalities observed during ictal and postictal MRI using dynamic susceptibility contrast MRI, which we validated on a subcohort of 27 patients. The semi-quantitative method provides a parcellation of 3D T1-weighted images into 32 standardized cortical regions of interests and subcortical grey matter structures based on a recently proposed method, direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation for brain anatomy segmentation. Standard perfusion maps from a Food and Drug Administration-approved image analysis tool (Olea Sphere 3.0) were co-registered and investigated for region-wise differences between ictal and postictal states. These results were compared against the visual analysis of two readers experienced in functional image analysis in epilepsy. In the ictal group, cortical hyperperfusion was present in 17/18 patients (94% sensitivity), whereas in the postictal cohort, cortical hypoperfusion was present only in 9/33 (27%) patients while 24/33 (73%) showed normal perfusion. The (semi-)quantitative dynamic susceptibility contrast MRI perfusion analysis indicated increased thalamic perfusion in the ictal cohort and hypoperfusion in the postictal cohort. Visual ratings between expert readers performed well on the patient level, but visual rating agreement was low for analysis of subregions of the brain. The asymmetry of the automated image analysis correlated significantly with the visual consensus ratings of both readers. We conclude that expert analysis of dynamic susceptibility contrast MRI effectively discriminates ictal versus postictal perfusion patterns. Automated perfusion evaluation revealed favourable interpretability and correlated well with the classification of the visual ratings. It may therefore be employed for high-throughput, large-scale perfusion analysis in extended cohorts, especially for research questions with limited expert rater capacity.
Collapse
Affiliation(s)
- Manuel Köstner
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern CH-3010, Switzerland.,Faculty of Medicine, University of Bern, Bern CH-3008, Switzerland
| | - Michael Rebsamen
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern CH-3010, Switzerland.,Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern CH-3012, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern CH-3010, Switzerland.,Translational Imaging Center (TIC), sitem-Insel, Bern University Hospital, Bern CH-3010, Switzerland
| | - Christian Rummel
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern CH-3010, Switzerland
| | - Baudouin Jin
- Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Bern CH-3010, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern CH-3010, Switzerland
| | - Uzeyir Ahmadli
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern CH-3010, Switzerland
| | - Kaspar Schindler
- Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Bern CH-3010, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern CH-3010, Switzerland.,Translational Imaging Center (TIC), sitem-Insel, Bern University Hospital, Bern CH-3010, Switzerland
| |
Collapse
|
239
|
Status Epilepticus. Crit Care Clin 2023; 39:87-102. [DOI: 10.1016/j.ccc.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
|
240
|
Consoli DC, Spitznagel BD, Owen BM, Kang H, Williams Roberson S, Pandharipande P, Wesley Ely E, Nobis WP, Bastarache JA, Harrison FE. Altered EEG, disrupted hippocampal long-term potentiation and neurobehavioral deficits implicate a delirium-like state in a mouse model of sepsis. Brain Behav Immun 2023; 107:165-178. [PMID: 36243287 PMCID: PMC10010333 DOI: 10.1016/j.bbi.2022.10.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/26/2022] [Accepted: 10/09/2022] [Indexed: 11/06/2022] Open
Abstract
Sepsis and systemic inflammation are often accompanied by severe encephalopathy, sleep disruption and delirium that strongly correlate with poor clinical outcomes including long-term cognitive deficits. The cardinal manifestations of delirium are fluctuating altered mental status and inattention, identified in critically ill patients by interactive bedside assessment. The lack of analogous assessments in mouse models or clear biomarkers is a challenge to preclinical studies of delirium. In this study, we utilized concurrent measures of telemetric EEG recordings and neurobehavioral tasks in mice to characterize inattention and persistent cognitive deficits following polymicrobial sepsis. During the 24-hour critical illness period for the mice, slow-wave EEG dominance, sleep disruption, and hypersensitivity to auditory stimuli in neurobehavioral tasks resembled clinical observations in delirious patients in which alterations in similar outcome measurements, although measured differently in mice and humans, are reported. Mice were tested for nest building ability 7 days after sepsis induction, when sickness behaviors and spontaneous activity had returned to baseline. Animals that showed persistent deficits determined by poor nest building at 7 days also exhibited molecular changes in hippocampal long-term potentiation compared to mice that returned to baseline cognitive performance. Together, these behavioral and electrophysiological biomarkers offer a robust mouse model with which to further probe molecular pathways underlying brain and behavioral changes during and after acute illness such as sepsis.
Collapse
Affiliation(s)
- David C Consoli
- Vanderbilt University Medical Center, 7465 MRB4, Nashville, TN 37232, USA
| | | | - Benjamin M Owen
- Vanderbilt University Medical Center, 7465 MRB4, Nashville, TN 37232, USA
| | - Hakmook Kang
- Vanderbilt University Medical Center, 7465 MRB4, Nashville, TN 37232, USA
| | | | | | - E Wesley Ely
- Vanderbilt University Medical Center, 7465 MRB4, Nashville, TN 37232, USA
| | - William P Nobis
- Vanderbilt University Medical Center, 7465 MRB4, Nashville, TN 37232, USA
| | - Julie A Bastarache
- Vanderbilt University Medical Center, 7465 MRB4, Nashville, TN 37232, USA
| | - Fiona E Harrison
- Vanderbilt University Medical Center, 7465 MRB4, Nashville, TN 37232, USA.
| |
Collapse
|
241
|
Power spectrum analysis and outcomes of non-convulsive status epilepticus: a single-center study. Neurol Sci 2023; 44:287-295. [PMID: 36175811 DOI: 10.1007/s10072-022-06419-8] [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: 05/30/2022] [Accepted: 09/19/2022] [Indexed: 01/10/2023]
Abstract
OBJECTIVES Diagnosis of non-convulsive status epilepticus (NCSE) is challenging and outcomes during follow-up are not clear. This study aimed to conduct power spectrum analysis in NCSE and measure outcomes of patients. METHODS We searched continuous EEG monitoring (cEEG) recordings to identify patients of NCSE. An artifact-free cEEG epoch of continuous 60 s was chosen for spectral power analysis. We also collected electronic medical records of the patients for extracting clinical information. Patients recruited were followed up at least every half a year. RESULTS There were 48 patients with 64 independent NCSE episodes during different course of disease recruited in the study, with a mean age of 40.3 ± 19.1 years (range, 12-72 years), including 24 males (50%) and 24 females (50%). When the spectral power of 60 s equaled to 11.30 μV2 for predicting impairment of consciousness, (sensitivity, specificity) = (0.979, 0.625). When the spectral power of 60 s equaled to 52.70 μV2 for predicting myoclonic jerks, (sensitivity, specificity) = (0.783, 0.756). There were 27 patients (56.3%) followed up with a duration over 12 months. Nineteen patients (70.4%) continued to have seizures. Eleven (40.7%) resisted to at least two kinds of appropriate anti-seizure medication at maximum tolerated levels. Five patients with prolonged NCSE suffered from loss of brain parenchymal volume on follow-up MRI scans. CONCLUSION Spectral power analysis can be used to detect mental status and limb jerks. Early diagnosis and treatment of NCSE are important, which can influence outcomes of the patients during follow-up.
Collapse
|
242
|
Nonconvulsive status epilepticus following cardiac arrest: overlooked, untreated and misjudged. J Neurol 2023; 270:130-138. [PMID: 36076090 DOI: 10.1007/s00415-022-11368-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 01/07/2023]
Abstract
AIMS Seizures and status epilepticus (SE) are detected in almost a third of the comatose cardiac arrest survivors. As the literature is quite exhaustive regarding SE with motor symptoms in those patients, little is known about nonconvulsive SE (NCSE). Our aim was to compile the evidence from the literature of the frequency and outcome of NCSE in adult patients remaining in coma after resuscitation. METHODS The medical search PubMed was screened for most relevant articles reporting the emergence and outcome of NCSE in comatose post-resuscitated adult patients. RESULTS We identified 11 cohort studies (four prospective observational, seven retrospective) including 1092 patients with SE in 29-96% and NCSE reported in 1-20%. EEG evaluation started at a median of 9.5 h (range 7.5-14.8) after cardiac arrest, during sedation and targeted temperature management (TTM). Favorable outcome after NCSE occurred in 24.5%. We found no study reporting EEG to detect or exclude NCSE in patients remaining in coma prior to the initiation of TTM and without sedation withing the first hours after ROSC. DISCUSSION Studies on NCSE after ROSC are scarce and unsystematic, reporting favorable outcome in every fourth patient experiencing NCSE after ROSC. This suggests that NCSE is often overlooked and outcome after NCSE is not always poor. The low data quality does not allow firm conclusions regarding the effects of NCSE on outcome calling for further investigation. In the meantime, clinicians should avoid equating NCSE after ROSC with poor prognosis.
Collapse
|
243
|
Freund BE, Brigham T, Salman S, Kaplan PW, Tatum WO. From Alpha to Zeta: A Systematic Review of Zeta Waves. J Clin Neurophysiol 2023; 40:2-8. [PMID: 36604788 DOI: 10.1097/wnp.0000000000000972] [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: 01/07/2023] Open
Abstract
PURPOSE Electroencephalogram is used for prognostication and diagnosis in critically ill patients and is vital in developing clinical management algorithms. Unique waveforms on EEG may distinguish neurological disorders and define a potential for seizures. To better characterize zeta waves, we sought to define their electroclinical spectrum. METHODS We performed a systematic review using MEDLINE, Embase, Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Review [through Ovid], Scopus, Science Citation Index Expanded and Emerging Sources Citation Index [through the Web of Science], and Epistemonikos. Grey literature resources were searched. RESULTS Five hundred thirty-seven articles were identified. After excluding duplicates and reviewing titles, abstracts, and bodies and bibliographies of articles, four studies reported 64 cases describing data from patients with zeta waves, with a prevalence of 3 to 4%. Various and often incomplete clinical, neuroimaging, and EEG data were available. 57 patients (89.1%) had a focal cerebral lesion concordant with the location of zeta waves on EEG. 26 patients (40.6%) had clinical seizures, all but one being focal onset. Thirteen patients (20%) had epileptiform activity on EEG. Typically, zeta waves were located in the frontal head regions, often with generalized, frontal, predominant, rhythmic delta activity and associated with focal EEG suppression. CONCLUSIONS Zeta waves frequently represent an underlying focal structural lesion. Their presence suggests a heightened risk for seizures. The small number of retrospective cases series in the literature reporting zeta waves might be an underrepresentation. We suggest a need for prospective studies of cEEG in critically ill patients to determine their clinical significance.
Collapse
Affiliation(s)
- Brin E Freund
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, U.S.A
| | - Tara Brigham
- Mayo Clinic Libraries, Mayo Clinic, Jacksonville, Florida, U.S.A.; and
| | - Saif Salman
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, U.S.A
| | - Peter W Kaplan
- Department of Neurology, Johns Hopkins Bayview Medical Center, Baltimore, Maryland, U.S.A
| | - William O Tatum
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, U.S.A
| |
Collapse
|
244
|
Kulick-Soper CV, Shinohara RT, Ellis CA, Ganguly TM, Raghupathi R, Pathmanathan JS, Conrad EC. Quantitative artifact reduction and pharmacologic paralysis improve detection of EEG epileptiform activity in critically ill patients. Clin Neurophysiol 2023; 145:89-97. [PMID: 36462473 PMCID: PMC9897212 DOI: 10.1016/j.clinph.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/09/2022] [Accepted: 11/10/2022] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Epileptiform activity is common in critically ill patients, but movement-related artifacts-including electromyography (EMG) and myoclonus-can obscure EEG, limiting detection of epileptiform activity. We sought to determine the ability of pharmacologic paralysis and quantitative artifact reduction (AR) to improve epileptiform discharge detection. METHODS Retrospective analysis of patients who underwent continuous EEG monitoring with pharmacologic paralysis. Four reviewers read each patient's EEG pre- and post- both paralysis and AR, and indicated the presence of epileptiform discharges. We compared the interrater reliability (IRR) of identifying discharges at baseline, post-AR, and post-paralysis, and compared the performance of AR and paralysis according to artifact type. RESULTS IRR of identifying epileptiform discharges at baseline was slight (N = 30; κ = 0.10) with a trend toward increase post-AR (κ = 0.26, p = 0.053) and a significant increase post-paralysis (κ = 0.51, p = 0.001). AR was as effective as paralysis at improving IRR of identifying discharges in those with high EMG artifact (N = 15; post-AR κ = 0.63, p = 0.009; post-paralysis κ = 0.62, p = 0.006) but not with primarily myoclonus artifact (N = 15). CONCLUSIONS Paralysis improves detection of epileptiform activity in critically ill patients when movement-related artifact obscures EEG features. AR improves detection as much as paralysis when EMG artifact is high, but is ineffective when the primary source of artifact is myoclonus. SIGNIFICANCE In the appropriate setting, both AR and paralysis facilitate identification of epileptiform activity in critically ill patients.
Collapse
Affiliation(s)
- Catherine V. Kulick-Soper
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,Corresponding author at: Hospital of the University of Pennsylvania, 3400 Spruce Street 3, West Gates Building, Philadelphia, PA 19104, USA. Fax: +1 215 349 5733. (C.V. Kulick-Soper)
| | - Russell T. Shinohara
- Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Colin A. Ellis
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Taneeta M. Ganguly
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ramya Raghupathi
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Jay S. Pathmanathan
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erin C. Conrad
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
245
|
Abou Khaled KJ, Bou Nasif M, Freiji C, Hirsch LJ, Fong MW. Rapid response EEG with needle electrodes in an intensive care unit with limited resources. Clin Neurophysiol Pract 2023; 8:44-48. [PMID: 36949936 PMCID: PMC10025002 DOI: 10.1016/j.cnp.2023.02.002] [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: 09/12/2022] [Revised: 01/17/2023] [Accepted: 02/14/2023] [Indexed: 02/24/2023] Open
Abstract
Objective Continuous EEG (cEEG) is the gold standard for detecting seizures and rhythmic and periodic patterns (RPPs) in critically ill patients but is often not available in health systems with limited resources. The current study aims to determine the feasibility and utility of low-cost, practical, limited montage, sub-dermal needle electrode EEG in a setting where otherwise no EEG would be available. Methods The study included all adult patients admitted to the intensive care unit of a single center over a 24-month period. Members of the existing ICU care team, mostly nurses, were trained to place 8 sub-dermal needle EEG electrodes to achieve rapid, limited montage-EEG recording. Clinical outcomes were recorded, including any reported major complications; and the EEG findings documented, including background characterization, RPPs, and seizures. Results One hundred twenty-three patients, mean age 68 years, underwent an average of 15.6 min of EEG recording. There were no complications of electrode placement. Overall, 13.0% had seizures (8.1% qualifying as status epilepticus [SE]), 18.7 % had generalized periodic discharges (GPDs), 4.9% had lateralized periodic discharges (LPDs), and 11.4 % sporadic epileptiform discharges (sEDs). Greater mortality was observed in patients with worse background EEGs, seizures, LPDs, or sEDs. Conclusions Rapid, limited montage EEG could be achieved safely and inexpensively in a broad population of critically ill patients following minimal training of existing care teams. Significance For resource poor centers or centers outside of major metropolitan areas who otherwise have no access to EEG, this may prove a useful method for screening for non-convulsive seizures and status epilepticus.
Collapse
Affiliation(s)
- Karine J. Abou Khaled
- Department of Neurology, Hotel-Dieu de France Hospital, Saint-Joseph University, Beirut, Lebanon
- Corresponding author.
| | - Mei Bou Nasif
- Department of Medicine, Hotel-Dieu de France Hospital, Saint-Joseph University, Beirut, Lebanon
| | - Claudia Freiji
- Illinois Risk Lab, Department of Mathematics, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Lawrence J. Hirsch
- Comprehensive Epilepsy Center, Yale School of Medicine, New Haven, CT, USA
| | - Michael W.K. Fong
- Comprehensive Epilepsy Center, Yale School of Medicine, New Haven, CT, USA
- Westmead Comprehensive Epilepsy Unit, Westmead Hospital, University of Sydney, Sydney, Australia
| |
Collapse
|
246
|
Elmashala A, Busl KM, Maciel CB. Will shifting the lens let us see more clearly when prognosticating after cardiac arrest, or do we need new glasses? Resuscitation 2023; 182:109667. [PMID: 36565947 DOI: 10.1016/j.resuscitation.2022.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 12/11/2022] [Indexed: 12/24/2022]
Affiliation(s)
- Amjad Elmashala
- Department of Neurology, Division of Neurocritical Care, University of Florida College of Medicine, Gainesville, FL 32611, USA
| | - Katharina M Busl
- Department of Neurology, Division of Neurocritical Care, University of Florida College of Medicine, Gainesville, FL 32611, USA; Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL 32611, USA
| | - Carolina B Maciel
- Department of Neurology, Division of Neurocritical Care, University of Florida College of Medicine, Gainesville, FL 32611, USA; Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL 32611, USA; Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Neurology, University of Utah, Salt Lake City, UT 84132, USA.
| |
Collapse
|
247
|
Zerbi SM, Sandroni C, Botteri M, Bellasi A, Latronico N, Rasulo F. Early Neurological ASsessment with pupillometrY during Cardiac Arrest REsuscitation (EASY-CARE): protocol for an observational multicentre prospective study. BMJ Open 2022; 12:e063633. [PMID: 36600432 PMCID: PMC9772679 DOI: 10.1136/bmjopen-2022-063633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
INTRODUCTION Out-of-hospital cardiac arrest is burdened with a high rate of ineffective resuscitation and poor neurological outcome among survivors. To date, there are few perfusion assessment tools during cardiopulmonary resuscitation and none of them provide reliable data. Despite the lack of information, physicians must decide whether to extend or terminate resuscitation efforts. METHOD AND ANALYSIS This is a multicentre prospective, observational cohort study, involving adult patients, victims of unexpected out-of-hospital cardiac arrest. Early Neurological ASsessment with pupillometrY during Cardiac Arrest Resuscitation aims to primarily describe the reliability of quantitative pupillometry through use of the Neurological Pupillary Index (NPi) during the manoeuvre of cardiopulmonary resuscitation, as a predictor of the return of spontaneous circulation. The second objective is to seek and describe the association between the NPi and neurological outcome in the surviving cohort. Patients will be excluded if they are less than 18 years of age, have sustained traumatic brain injury, cerebrovascular emergencies, direct injury to the eyes or have pupil anomalies. Neurological outcome will be collected at intensive care unit discharge, at 30 days, 6 months and at 1 year. The Glasgow Coma Scale (GCS) will be used in the emergency department; modified Rankin Score will be adopted for neurological assessment; biomarkers and neurophysiology exams will be collected as well. ETHICS AND DISSEMINATION The study has been approved by Ethics Committee of Milano. Local committee acceptance is required for each of the centres involved in the clinical and follow-up data collection. Data will be disseminated to the scientific community through original articles submitted to peer-reviewed journals and abstracts to conferences. TRIAL REGISTRATION NUMBER NCT05192772.
Collapse
Affiliation(s)
- Simone Maria Zerbi
- Emergenza Rianimazione Anestesia, Azienda Socio Sanitaria Territoriale Lariana, Como, Italy
- Azienda Regionale Emergenza Urgenza, Milano, Italy
| | - Claudio Sandroni
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | | | | | - Nicola Latronico
- Department of Anesthesia, Intensive Care & Emergency Medicine, Spedali Civili University affiliated Hospital, Brescia, Italy
| | - Frank Rasulo
- Department of Anesthesia, Intensive Care & Emergency Medicine, Spedali Civili University affiliated Hospital, Brescia, Italy
| |
Collapse
|
248
|
Benghanem S, Pruvost-Robieux E, Bouchereau E, Gavaret M, Cariou A. Prognostication after cardiac arrest: how EEG and evoked potentials may improve the challenge. Ann Intensive Care 2022; 12:111. [PMID: 36480063 PMCID: PMC9732180 DOI: 10.1186/s13613-022-01083-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022] Open
Abstract
About 80% of patients resuscitated from CA are comatose at ICU admission and nearly 50% of survivors are still unawake at 72 h. Predicting neurological outcome of these patients is important to provide correct information to patient's relatives, avoid disproportionate care in patients with irreversible hypoxic-ischemic brain injury (HIBI) and inappropriate withdrawal of care in patients with a possible favorable neurological recovery. ERC/ESICM 2021 algorithm allows a classification as "poor outcome likely" in 32%, the outcome remaining "indeterminate" in 68%. The crucial question is to know how we could improve the assessment of both unfavorable but also favorable outcome prediction. Neurophysiological tests, i.e., electroencephalography (EEG) and evoked-potentials (EPs) are a non-invasive bedside investigations. The EEG is the record of brain electrical fields, characterized by a high temporal resolution but a low spatial resolution. EEG is largely available, and represented the most widely tool use in recent survey examining current neuro-prognostication practices. The severity of HIBI is correlated with the predominant frequency and background continuity of EEG leading to "highly malignant" patterns as suppression or burst suppression in the most severe HIBI. EPs differ from EEG signals as they are stimulus induced and represent the summated activities of large populations of neurons firing in synchrony, requiring the average of numerous stimulations. Different EPs (i.e., somato sensory EPs (SSEPs), brainstem auditory EPs (BAEPs), middle latency auditory EPs (MLAEPs) and long latency event-related potentials (ERPs) with mismatch negativity (MMN) and P300 responses) can be assessed in ICU, with different brain generators and prognostic values. In the present review, we summarize EEG and EPs signal generators, recording modalities, interpretation and prognostic values of these different neurophysiological tools. Finally, we assess the perspective for futures neurophysiological investigations, aiming to reduce prognostic uncertainty in comatose and disorders of consciousness (DoC) patients after CA.
Collapse
Affiliation(s)
- Sarah Benghanem
- grid.411784.f0000 0001 0274 3893Medical ICU, Cochin Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France ,grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,After ROSC Network, Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Estelle Pruvost-Robieux
- grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,Neurophysiology and Epileptology Department, GHU Psychiatry and Neurosciences, Sainte Anne, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Eléonore Bouchereau
- Department of Neurocritical Care, G.H.U Paris Psychiatry and Neurosciences, 1, Rue Cabanis, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Martine Gavaret
- grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,Neurophysiology and Epileptology Department, GHU Psychiatry and Neurosciences, Sainte Anne, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Alain Cariou
- grid.411784.f0000 0001 0274 3893Medical ICU, Cochin Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France ,grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,After ROSC Network, Paris, France ,grid.462416.30000 0004 0495 1460Paris-Cardiovascular-Research-Center (Sudden-Death-Expertise-Center), INSERM U970, Paris, France
| |
Collapse
|
249
|
Heuer C, Disse L, Ledergerber D, Jelcic I, Imbach LL. EEG-Delta brushes in DPPX encephalitis - Welcome to the club. Clin Neurophysiol Pract 2022; 8:12-15. [PMID: 36583162 PMCID: PMC9792293 DOI: 10.1016/j.cnp.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/23/2022] [Accepted: 11/14/2022] [Indexed: 12/07/2022] Open
Abstract
Background Extreme Delta Brushes are a rare interictal EEG pattern that was first described in NMDA-R encephalitis and has been considered a pathognomonic pattern for this subtype of autoimmune encephalitis. Recently, extreme delta brushes have been described as a rare EEG phenomenon in other forms of encephalitis. Case report We describe to our knowledge the first occurrence of EEG Delta brushes in DPPX encephalitis. In this article, we present a comprehensive case report and discuss clinical differential diagnosis with special emphasis on the diagnostic value of the EEG, leading the way to the correct diagnosis. We also present current diagnostic criteria and clinical screening scales for initial evaluation for patients with suspected autoimmune encephalitis.
Collapse
Affiliation(s)
- Christine Heuer
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Leah Disse
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | | | - Ilijas Jelcic
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Lukas L. Imbach
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland,Swiss Epilepsy Center, Klinik Lengg, Zurich, Switzerland,Corresponding author at: Swiss Epilepsy Center, Clinic Lengg, Zurich, Switzerland.
| |
Collapse
|
250
|
ASET Position Statement on the Best Practices in Remote Continuous EEG (cEEG) Monitoring. Neurodiagn J 2022; 62:273-284. [PMID: 36585268 DOI: 10.1080/21646821.2022.2145833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
|