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Qin N, Cao Q, Li F, Wang W, Peng X, Wang L. A nomogram based on quantitative EEG to predict the prognosis of nontraumatic coma patients in the neuro-intensive care unit. Intensive Crit Care Nurs 2024; 83:103618. [PMID: 38171953 DOI: 10.1016/j.iccn.2023.103618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVE We aimed to establish a quantitative electroencephalography-based prognostic prediction model specifically tailored for nontraumatic coma patients to guide clinical work. METHODS This retrospective study included 126 patients with nontraumatic coma admitted to the First Affiliated Hospital of Chongqing Medical University from December 2020 to December 2022. Six in-hospital deaths were excluded. The Glasgow Outcome Scale assessed the prognosis at 3 months after discharge. The least absolute shrinkage and selection operator regression analysis and stepwise regression method were applied to select the most relevant predictors. We developed a predictive model using binary logistic regression and then presented it as a nomogram. We assessed the predictive effectiveness and clinical utility of the model. RESULTS After excluding six deaths that occurred within the hospital, a total of 120 patients were included in this study. Three predictor variables were identified, including APACHE II score [39.129 (1.4244-1074.9000)], sleep cycle [OR: 0.006 (0.0002-0.1808)], and RAV [0.068 (0.0049-0.9500)]. The prognostic prediction model showed exceptional discriminative ability, with an AUC of 0.939 (95 % CI: 0.899-0.979). CONCLUSION A lack of sleep cycles, smaller relative alpha variants, and higher APACHE II scores were associated with a poor prognosis of nontraumatic coma patients in the neurointensive care unit at 3 months after discharge. CLINICAL IMPLICATION This study presents a novel methodology for the prognostic assessment of nontraumatic coma patients and is anticipated to play a significant role in clinical practice.
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Affiliation(s)
- Ningxiang Qin
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qingqing Cao
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Feng Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei Wang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xi Peng
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Liang Wang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Pigorini A, Avanzini P, Barborica A, Bénar CG, David O, Farisco M, Keller CJ, Manfridi A, Mikulan E, Paulk AC, Roehri N, Subramanian A, Vulliémoz S, Zelmann R. Simultaneous invasive and non-invasive recordings in humans: A novel Rosetta stone for deciphering brain activity. J Neurosci Methods 2024; 408:110160. [PMID: 38734149 DOI: 10.1016/j.jneumeth.2024.110160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 04/10/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024]
Abstract
Simultaneous noninvasive and invasive electrophysiological recordings provide a unique opportunity to achieve a comprehensive understanding of human brain activity, much like a Rosetta stone for human neuroscience. In this review we focus on the increasingly-used powerful combination of intracranial electroencephalography (iEEG) with scalp electroencephalography (EEG) or magnetoencephalography (MEG). We first provide practical insight on how to achieve these technically challenging recordings. We then provide examples from clinical research on how simultaneous recordings are advancing our understanding of epilepsy. This is followed by the illustration of how human neuroscience and methodological advances could benefit from these simultaneous recordings. We conclude with a call for open data sharing and collaboration, while ensuring neuroethical approaches and argue that only with a true collaborative approach the promises of simultaneous recordings will be fulfilled.
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Affiliation(s)
- Andrea Pigorini
- Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Milan, Italy; UOC Maxillo-facial Surgery and dentistry, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy.
| | - Pietro Avanzini
- Institute of Neuroscience, Consiglio Nazionale delle Ricerche, Parma, Italy
| | | | - Christian-G Bénar
- Aix Marseille Univ, Inserm, U1106, INS, Institut de Neurosciences des Systèmes, Marseille, France
| | - Olivier David
- Aix Marseille Univ, Inserm, U1106, INS, Institut de Neurosciences des Systèmes, Marseille, France
| | - Michele Farisco
- Centre for Research Ethics and Bioethics, Department of Public Health and Caring Sciences, Uppsala University, P.O. Box 256, Uppsala, SE 751 05, Sweden; Science and Society Unit Biogem, Biology and Molecular Genetics Institute, Via Camporeale snc, Ariano Irpino, AV 83031, Italy
| | - Corey J Keller
- Department of Psychiatry & Behavioral Sciences, Stanford University Medical Center, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University Medical Center, Stanford, CA 94305, USA; Veterans Affairs Palo Alto Healthcare System, and the Sierra Pacific Mental Illness, Research, Education, and Clinical Center (MIRECC), Palo Alto, CA 94394, USA
| | - Alfredo Manfridi
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Ezequiel Mikulan
- Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Angelique C Paulk
- Department of Neurology and Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicolas Roehri
- EEG and Epilepsy Unit, Dpt of Clinical Neurosciences, Geneva University Hospitals and University of Geneva, Switzerland
| | - Ajay Subramanian
- Department of Psychiatry & Behavioral Sciences, Stanford University Medical Center, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University Medical Center, Stanford, CA 94305, USA; Veterans Affairs Palo Alto Healthcare System, and the Sierra Pacific Mental Illness, Research, Education, and Clinical Center (MIRECC), Palo Alto, CA 94394, USA
| | - Serge Vulliémoz
- EEG and Epilepsy Unit, Dpt of Clinical Neurosciences, Geneva University Hospitals and University of Geneva, Switzerland
| | - Rina Zelmann
- Department of Neurology and Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Campos-Fernández D, Montes A, Thonon V, Sueiras M, Rodrigo-Gisbert M, Pasini F, Quintana M, López-Maza S, Fonseca E, Coscojuela P, Santafe M, Sánchez A, Arikan F, Gandara DF, Sala-Padró J, Falip M, López-Ojeda P, Gabarrós A, Toledo M, Santamarina E, Abraira L. Early focal electroencephalogram and neuroimaging findings predict epilepsy development after aneurysmal subarachnoid hemorrhage. Epilepsy Behav 2024; 156:109841. [PMID: 38768551 DOI: 10.1016/j.yebeh.2024.109841] [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: 03/13/2024] [Revised: 05/07/2024] [Accepted: 05/12/2024] [Indexed: 05/22/2024]
Abstract
INTRODUCTION Seizures are a common complication of subarachnoid hemorrhage (SAH) in both acute and late stages: 10-20 % acute symptomatic seizures, 12-25 % epilepsy rate at five years. Our aim was to identify early electroencephalogram (EEG) and computed tomography (CT) findings that could predict long-term epilepsy after SAH. MATERIAL AND METHODS This is a multicenter, retrospective, longitudinal study of adult patients with aneurysmal SAH admitted to two tertiary care hospitals between January 2011 to December 2022. Routine 30-minute EEG recording was performed in all subjects during admission period. Exclusion criteria were the presence of prior structural brain lesions and/or known epilepsy. We documented the presence of SAH-related cortical involvement in brain CT and focal electrographic abnormalities (epileptiform and non-epileptiform). Post-SAH epilepsy was defined as the occurrence of remote unprovoked seizures ≥ 7 days from the bleeding. RESULTS We included 278 patients with a median follow-up of 2.4 years. The mean age was 57 (+/-12) years, 188 (68 %) were female and 49 (17.6 %) developed epilepsy with a median latency of 174 days (IQR 49-479). Cortical brain lesions were present in 189 (68 %) and focal EEG abnormalities were detected in 158 patients (39 epileptiform discharges, 119 non-epileptiform abnormalities). The median delay to the first EEG recording was 6 days (IQR 2-12). Multiple Cox regression analysis showed higher risk of long-term epilepsy in those patients with CT cortical involvement (HR 2.6 [1.3-5.2], p 0.009), EEG focal non-epileptiform abnormalities (HR 3.7 [1.6-8.2], p 0.002) and epileptiform discharges (HR 6.7 [2.8-15.8], p < 0.001). Concomitant use of anesthetics and/or antiseizure medication during EEG recording had no influence over its predictive capacity. ROC-curve analysis of the model showed good predictive capability at 5 years (AUC 0.80, 95 %CI 0.74-0.87). CONCLUSIONS Focal electrographic abnormalities (both epileptiform and non-epileptiform abnormalities) and cortical involvement in neuroimaging predict the development of long-term epilepsy. In-patient EEG and CT findings could allow an early risk stratification and facilitate a personalized follow-up and management of SAH patients.
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Affiliation(s)
- D Campos-Fernández
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - A Montes
- Epilepsy Unit, Neurology department,Bellvitge University Hospital. Barcelona, Spain
| | - V Thonon
- Neurophysiology Department, Vall d'Hebron University Hospital. Barcelona, Spain
| | - M Sueiras
- Neurophysiology Department, Vall d'Hebron University Hospital. Barcelona, Spain; Neurotraumatology and Neurosurgery Research Unit (UNINN), Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - M Rodrigo-Gisbert
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - F Pasini
- Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - M Quintana
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - S López-Maza
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - E Fonseca
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - P Coscojuela
- Neuroradiology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - M Santafe
- Intensive Care Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - A Sánchez
- Intensive Care Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - F Arikan
- Neurotraumatology and Neurosurgery Research Unit (UNINN), Vall d'Hebron Research Institute (VHIR), Barcelona, Spain; Neurosurgery Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - D F Gandara
- Neurotraumatology and Neurosurgery Research Unit (UNINN), Vall d'Hebron Research Institute (VHIR), Barcelona, Spain; Neurosurgery Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - J Sala-Padró
- Epilepsy Unit, Neurology department,Bellvitge University Hospital. Barcelona, Spain
| | - M Falip
- Epilepsy Unit, Neurology department,Bellvitge University Hospital. Barcelona, Spain
| | - P López-Ojeda
- Neurosurgery Department, Bellvitge University Hospital, Barcelona, Spain
| | - A Gabarrós
- Neurosurgery Department, Bellvitge University Hospital, Barcelona, Spain
| | - M Toledo
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - E Santamarina
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain; Medicine Department, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - L Abraira
- Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
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4
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Secci S, Liuzzi P, Hakiki B, Burali R, Draghi F, Romoli AM, di Palma A, Scarpino M, Grippo A, Cecchi F, Frosini A, Mannini A. Low-density EEG-based Functional Connectivity Discriminates Minimally Conscious State plus from minus. Clin Neurophysiol 2024; 163:197-208. [PMID: 38761713 DOI: 10.1016/j.clinph.2024.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 04/03/2024] [Accepted: 04/18/2024] [Indexed: 05/20/2024]
Abstract
OBJECTIVE Within the continuum of consciousness, patients in a Minimally Conscious State (MCS) may exhibit high-level behavioral responses (MCS+) or may not (MCS-). The evaluation of residual consciousness and related classification is crucial to propose tailored rehabilitation and pharmacological treatments, considering the inherent differences among groups in diagnosis and prognosis. Currently, differential diagnosis relies on behavioral assessments posing a relevant risk of misdiagnosis. In this context, EEG offers a non-invasive approach to model the brain as a complex network. The search for discriminating features could reveal whether behavioral responses in post-comatose patients have a defined physiological background. Additionally, it is essential to determine whether the standard behavioral assessment for quantifying responsiveness holds physiological significance. METHODS In this prospective observational study, we investigated whether low-density EEG-based graph metrics could discriminate MCS+/- patients by enrolling 57 MCS patients (MCS-: 30; males: 28). At admission to intensive rehabilitation, 30 min resting-state closed-eyes EEG recordings were performed together with consciousness diagnosis following international guidelines. After EEG preprocessing, graphs' metrics were estimated using different connectivity measures, at multiple connection densities and frequency bands (α,θ,δ). Metrics were also provided to cross-validated Machine Learning (ML) models with outcome MCS+/-. RESULTS A lower level of brain activity integration was found in the MCS- group in the α band. Instead, in the δ band MCS- group presented an higher level of clustering (weighted clustering coefficient) respect to MCS+. The best-performing solution in discriminating MCS+/- through the use of ML was an Elastic-Net regularized logistic regression with a cross-validation accuracy of 79% (sensitivity and specificity of 74% and 85% respectively). CONCLUSION Despite tackling the MCS+/- differential diagnosis is highly challenging, a daily-routine low-density EEG might allow to differentiate across these differently responsive brain networks. SIGNIFICANCE Graph-theoretical features are shown to discriminate between these two neurophysiologically similar conditions, and may thus support the clinical diagnosis.
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Affiliation(s)
- Sara Secci
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy
| | - Piergiuseppe Liuzzi
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy; Scuola Superiore Sant'Anna, BioRobotics Institute, Viale Rinaldo Piaggio 34, Pontedera, PI, Italy
| | - Bahia Hakiki
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy; Dipartimento di Medicina Sperimentale e Clinica, Largo Brambilla 3, FI, Italy.
| | - Rachele Burali
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy
| | - Francesca Draghi
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy
| | - Anna Maria Romoli
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy
| | - Azzurra di Palma
- Dipartimento di Matematica e Informatica, Università di Firenze, Viale Morgagni 65, FI, Italy
| | - Maenia Scarpino
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy
| | - Antonello Grippo
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy
| | - Francesca Cecchi
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy; Dipartimento di Medicina Sperimentale e Clinica, Largo Brambilla 3, FI, Italy
| | - Andrea Frosini
- Dipartimento di Matematica e Informatica, Università di Firenze, Viale Morgagni 65, FI, Italy
| | - Andrea Mannini
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci 269, Firenze, FI, Italy
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5
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Routier L, Edalati M, Querné L, Dorion J, Ghostine-Ramadan G, Wallois F, Moghimi S, Bourel-Ponchel E. Negative central activity in extremely preterm newborns: EEG characterization and relationship with brain injuries and neurodevelopmental outcome. Clin Neurophysiol 2024; 163:236-243. [PMID: 38810567 DOI: 10.1016/j.clinph.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 01/19/2024] [Accepted: 04/05/2024] [Indexed: 05/31/2024]
Abstract
OBJECTIVE To characterize Negative Central Activity (NCA), an overlooked electroencephalographic activity of preterm newborns and investigate its relationship with brain injuries, dysfunction, and neurodevelopmental outcome. METHODS 109 preterm infants (23-28 weeks) were retrospectively included. NCA were selected at the negative peak on EEG. Individual averaged NCA were automatically characterized. Brain structural data were collected from cranial ultrasounds (cUS). The neurodevelopmental outcome at two years of age was assessed by the Denver Developmental Screening Test-II. RESULTS Thirty-six (33%) children showed NCA: 6,721 NCA were selected, a median of 75 (interquartile range, 25/157.3) per EEG. NCA showed a triphasic morphology, with a mean amplitude and duration of the negative component of 24.6-40.0 µV and 222.7-257.3 ms. The presence of NCA on EEG was associated with higher intraventricular haemorrhage (IVH) grade on the first (P = 0.016) and worst neonatal cUS (P < 0.001) and poorer neurodevelopmental outcome (P < 0.001). CONCLUSIONS NCA is an abnormal EEG feature of extremely preterm newborns that may correspond to the functional neural impact of a vascular pathology. SIGNIFICANCE The NCA relationships with an adverse outcome and the presence/severity of IVH argue for considering NCA in the assessment of pathological processes in the developing brain network and for early outcome prediction.
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Affiliation(s)
- Laura Routier
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France; Pediatric Neurophysiology Unit, Amiens-Picardie University Hospital, 1 rue du Professeur Christian Cabrol, 80054 Amiens Cedex, France.
| | - Mohammadreza Edalati
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France
| | - Laurent Querné
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France; Department of Pediatric Neurology, Amiens-Picardie University Hospital, 1 rue du Professeur Christian Cabrol, 80054 Amiens Cedex, France
| | - Julie Dorion
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France
| | - Ghida Ghostine-Ramadan
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France; Neonatal Intensive Care Unit, Amiens-Picardie University Medical Center, Amiens Cedex, France
| | - Fabrice Wallois
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France; Pediatric Neurophysiology Unit, Amiens-Picardie University Hospital, 1 rue du Professeur Christian Cabrol, 80054 Amiens Cedex, France
| | - Sahar Moghimi
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France
| | - Emilie Bourel-Ponchel
- INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, rue René Laennec, 80054 Amiens Cedex, France; Pediatric Neurophysiology Unit, Amiens-Picardie University Hospital, 1 rue du Professeur Christian Cabrol, 80054 Amiens Cedex, France
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Bruschi G, Pellegrino L, Bisogno AL, Ferreri F, Kassabian B, Seppi D, Favaretto S, Corbetta M, Dainese F. Use of perampanel oral suspension for the treatment of refractory and super-refractory status epilepticus. Epilepsy Behav 2024; 156:109826. [PMID: 38761446 DOI: 10.1016/j.yebeh.2024.109826] [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: 01/10/2024] [Revised: 04/30/2024] [Accepted: 05/06/2024] [Indexed: 05/20/2024]
Abstract
INTRODUCTION Status epilepticus (SE) is a medical emergency associated with a significant risk of disability and death. The treatment of SE follows a step-wise approach, with limited data on ideal antiseizure medications (ASMs) for refractory and super refractory SE (RSE/SRSE). Perampanel (PER), an AMPA receptor antagonist, has shown promise in animal models but still has limited data in humans. This study tried to evaluate optimal dosage and safety of PER in RSE and SRSE patients. MATERIALS AND METHODS We retrospectively analysed 17 adult patients with RSE (1) or SRSE (16) treated with PER. Demographic and clinical data, including EEG patterns, ASMs administered, PER dosages, and PER plasma concentrations, were collected. For patients receiving a 24 mg PER loading dose (full dose group), the following treatment regimen was applied: 24 mg per day for 48 h following by 16 mg per day. The response to PER was assessed based on electroencephalographic (EEG) improvement from high to low epileptiform activity or from low to the absence of epileptiform activities. Safety was evaluated monitoring hepatic and renal function. RESULTS A response rate of 58.82 % was observed, with significantly higher responses in the full dose group (81.82 %) compared to those receiving PER doses below 24 mg (low dose group) (16.67 %) (p-value = 0.004; OR 0.044, 95 % CI 0.003 to 0.621, p = 0.021). No other clinical factors significantly influenced treatment response. Hepatic enzymes become elevated in most patients (70.59 %) but spontaneously decreased. DISCUSSION Our findings suggest that a 24 mg PER dose administered for 48 h may be more effective in managing RSE and SRSE compared to doses below 24 mg, potentially due to pharmacokinetic factors. CONCLUSION More robust data on PER in RSE and SRSE, including standardized dosing procedures and plasma level monitoring are needed. PER's potential benefits should be explored further, particularly in patients with RSE and SRSE.
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Affiliation(s)
- G Bruschi
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy.
| | - L Pellegrino
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy.
| | - A L Bisogno
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy.
| | - F Ferreri
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy; Department of Clinical Neurophysiology, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland.
| | - B Kassabian
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy.
| | - D Seppi
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy.
| | - S Favaretto
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy.
| | - M Corbetta
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy; Veneto Institute of Molecular Medicine (VIMM), Padua, Italy.
| | - F Dainese
- Unit of Neurology and Unit of Clinical Neurophysiology, Department of Neuroscience, University of Padua, Padua, Italy.
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7
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Hernani R, Aiko M, Victorio R, Benzaquén A, Pérez A, Piñana JL, Hernández-Boluda JC, Amat P, Pastor-Galán I, Remigia MJ, Ferrer-Lores B, Micó M, Carbonell N, Ferreres J, Blasco-Cortés ML, Santonja JM, Dosdá R, Estellés R, Campos S, Martínez-Ciarpaglini C, Ferrández-Izquierdo A, Goterris R, Gómez M, Teruel A, Saus A, Ortiz A, Morello D, Martí E, Carretero C, Calabuig M, Tormo M, Terol MJ, Cases P, Solano C. EEG before chimeric antigen receptor T-cell therapy and early after onset of immune effector cell-associated neurotoxicity syndrome. Clin Neurophysiol 2024; 163:132-142. [PMID: 38733703 DOI: 10.1016/j.clinph.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/24/2024] [Accepted: 04/17/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Immune effector cell-associated neurotoxicity syndrome (ICANS) is common after chimeric antigen receptor T-cell (CAR-T) therapy. OBJECTIVE This study aimed to assess the impact of preinfusion electroencephalography (EEG) abnormalities and EEG findings at ICANS onset for predicting ICANS risk and severity in 56 adult patients with refractory lymphoma undergoing CAR-T therapy. STUDY DESIGN EEGs were conducted at the time of lymphodepleting chemotherapy and shortly after onset of ICANS. RESULTS Twenty-eight (50%) patients developed ICANS at a median time of 6 days after CAR-T infusion. Abnormal preinfusion EEG was identified as a risk factor for severe ICANS (50% vs. 17%, P = 0.036). Following ICANS onset, EEG abnormalities were detected in 89% of patients [encephalopathy (n = 19, 70%) and/or interictal epileptiform discharges (IEDs) (n = 14, 52%)]. Importantly, IEDs seemed to be associated with rapid progression to higher grades of ICANS within 24 h. CONCLUSIONS If confirmed in a large cohort of patients, these findings could establish the basis for modifying current management guidelines, enabling the identification of patients at risk of neurotoxicity, and providing support for preemptive corticosteroid use in patients with both initial grade 1 ICANS and IEDs at neurotoxicity onset, who are at risk of neurological impairment.
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Affiliation(s)
- Rafael Hernani
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain.
| | - Mika Aiko
- Neurophysiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Ruth Victorio
- Neurophysiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Ana Benzaquén
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Ariadna Pérez
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - José Luis Piñana
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Juan Carlos Hernández-Boluda
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Paula Amat
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Irene Pastor-Galán
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - María José Remigia
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Blanca Ferrer-Lores
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Mireia Micó
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Nieves Carbonell
- Intensive Care Unit, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - José Ferreres
- Intensive Care Unit, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | | | - José Miguel Santonja
- Neurology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Rosa Dosdá
- Radiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Rocío Estellés
- Radiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Salvador Campos
- Radiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | | | | | - Rosa Goterris
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Montse Gómez
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Anabel Teruel
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Ana Saus
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Alfonso Ortiz
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Daniela Morello
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Edel Martí
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Carlos Carretero
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Marisa Calabuig
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Mar Tormo
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - María José Terol
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
| | - Paula Cases
- Neurophysiology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain
| | - Carlos Solano
- Haematology Department, Hospital Clínico Universitario, INCLIVA Research Institute, Valencia, Spain; Department of Medicine, University of Valencia, Valencia, Spain
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8
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Misirocchi F, De Stefano P, Zilioli A, Mannini E, Lazzari S, Mutti C, Zinno L, Parrino L, Florindo I. Periodic discharges and status epilepticus: A critical reappraisal. Clin Neurophysiol 2024; 163:124-131. [PMID: 38733702 DOI: 10.1016/j.clinph.2024.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/04/2024] [Accepted: 04/28/2024] [Indexed: 05/13/2024]
Abstract
OBJECTIVE Periodic Discharges (PDs) in Status Epilepticus (SE) are historically related to negative outcome, and the Epidemiology-based Mortality Score in SE (EMSE) identifies PDs as an EEG feature associated with unfavorable prognosis. However, supportive evidence is conflicting. This study aims to evaluate the prognostic significance of interictal PDs during and following SE. METHODS All 2020-2023 non-hypoxic-ischemic SE patients with available EEG during SE were retrospectively assessed. Interictal PDs during SE (SE-PDs) and PDs occurring 24-72 h after SE resolution (post-SE-PDs) were examined. In-hospital death was defined as the primary outcome. RESULTS 189 SE patients were finally included. SE-PDs were not related to outcome, while post-SE-PDs were related to poor prognosis confirmed after multiple regression analysis. EMSE global AUC was 0.751 (95%CI:0.680-0.823) and for EMSE-64 cutoff sensitivity was 0.85, specificity 0.52, accuracy 63%. We recalculated EMSE score including only post-SE-PDs. Modified EMSE (mEMSE) global AUC was 0.803 (95%CI:0.734-0.872) and for mEMSE-64 cutoff sensitivity was 0.84, specificity 0.68, accuracy 73%. CONCLUSION Interictal PDs during SE were not related to outcome whereas PDs persisting or appearing > 24 h after SE resolution were strongly associated to unfavorable prognosis. EMSE performed well in our cohort but considering only post-SE-PDs raised specificity and accuracy for mEMSE64 cutoff. SIGNIFICANCE This study supports the utility of differentiating between interictal PDs during and after SE for prognostic assessment.
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Affiliation(s)
- Francesco Misirocchi
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy.
| | - Pia De Stefano
- EEG & Epilepsy Unit, Department of Clinical Neurosciences, University Hospital of Geneva, Geneva, Switzerland; Neuro-Intensive Care Unit, Department of Intensive Care, University Hospital of Geneva, Geneva, Switzerland
| | - Alessandro Zilioli
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Elisa Mannini
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Stefania Lazzari
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Carlotta Mutti
- Unit of Neurology, University Hospital of Parma, Parma, Italy; Sleep Disorders Center, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Lucia Zinno
- Unit of Neurology, University Hospital of Parma, Parma, Italy
| | - Liborio Parrino
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy; Sleep Disorders Center, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Irene Florindo
- Unit of Neurology, University Hospital of Parma, Parma, Italy
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9
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Cutillo G, Bonacchi R, Vabanesi M, Cecchetti G, Bellini A, Filippi M, Fanelli GF. Perampanel as an Add-On Therapy in Patients with Refractory Status Epilepticus and Postanoxic Encephalopathy: A Real-Life Single-Center Retrospective Cohort Study. Neurocrit Care 2024:10.1007/s12028-024-02019-w. [PMID: 38872031 DOI: 10.1007/s12028-024-02019-w] [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: 02/12/2024] [Accepted: 05/16/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Data on the efficacy of perampanel in refractory status epilepticus (RSE) and postanoxic encephalopathy (PAE) are limited; its use in such conditions is currently off-label. METHODS We conducted a retrospective cohort study of consecutive adult patients with RSE, including PAE, exhibiting electroencephalographic patterns indicative of status epilepticus who were treated at our center (January 2018 to December 2022) with assessment of clinical and electroencephalographic outcomes. RESULTS Thirty-six patients were included in the study, of whom 29 had nonanoxic RSE and 7 had PAE. Within the nonanoxic RSE subgroup, 45% (13 of 29; 95% confidence interval [CI] 27-63%) of study participants were responders, 34% (10 of 29; 95% CI 17-52%) were partial responders, and 21% (6 of 29; 95% CI 6-35%) were nonresponders. In the PAE subgroup (n = 7), no patients fully responded to perampanel; 43% (3 of 7; 95% CI 6-80%) were partial responders, and 57% (4 of 7; 95% CI 20-95%) were nonresponders. Responder and nonresponder study participants exhibited overlapping baseline characteristics. No significant differences in duration of hospitalization were observed between responders and nonresponders in both subgroups. Responders in the RSE subgroup had a median discharge modified Rankin Scale score of 3 (interquartile range 3-4), and nonresponders had a median discharge modified Rankin Scale score of 5 (interquartile range 5-6). CONCLUSIONS Despite limitations from the retrospective design and the small population size, this study suggests that perampanel use in nonanoxic RSE appears to yield promising results at moderate doses, including a tendency toward a better functional outcome at discharge, without significant adverse effects. However, in patients with PAE, the drug seems to show suboptimal performance. Perampanel appears to have promising efficacy as an add-on therapy in nonanoxic RSE. However, in patients with PAE, its efficacy seems to be lower. Further studies are warranted to confirm these observations.
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Affiliation(s)
- Gianni Cutillo
- Neurophysiology Service, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Neurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Raffaello Bonacchi
- Vita-Salute San Raffaele University, Milan, Italy
- Neuroradiology Department, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
| | - Marco Vabanesi
- Neurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy
| | - Giordano Cecchetti
- Neurophysiology Service, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Neurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy
| | - Anna Bellini
- Neurophysiology Service, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Neurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy
| | - Massimo Filippi
- Neurophysiology Service, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy.
- Neurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Neurorehabilitation Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy.
- Neuroimaging Research Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy.
| | - Giovanna F Fanelli
- Neurophysiology Service, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Milan, Italy
- Neurology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy
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10
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Parikh H, Sun H, Amerineni R, Rosenthal ES, Volfovsky A, Rudin C, Westover MB, Zafar SF. How many patients do you need? Investigating trial designs for anti-seizure treatment in acute brain injury patients. Ann Clin Transl Neurol 2024. [PMID: 38867375 DOI: 10.1002/acn3.52059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND/OBJECTIVES Epileptiform activity (EA), including seizures and periodic patterns, worsens outcomes in patients with acute brain injuries (e.g., aneurysmal subarachnoid hemorrhage [aSAH]). Randomized control trials (RCTs) assessing anti-seizure interventions are needed. Due to scant drug efficacy data and ethical reservations with placebo utilization, and complex physiology of acute brain injury, RCTs are lacking or hindered by design constraints. We used a pharmacological model-guided simulator to design and determine the feasibility of RCTs evaluating EA treatment. METHODS In a single-center cohort of adults (age >18) with aSAH and EA, we employed a mechanistic pharmacokinetic-pharmacodynamic framework to model treatment response using observational data. We subsequently simulated RCTs for levetiracetam and propofol, each with three treatment arms mirroring clinical practice and an additional placebo arm. Using our framework, we simulated EA trajectories across treatment arms. We predicted discharge modified Rankin Scale as a function of baseline covariates, EA burden, and drug doses using a double machine learning model learned from observational data. Differences in outcomes across arms were used to estimate the required sample size. RESULTS Sample sizes ranged from 500 for levetiracetam 7 mg/kg versus placebo, to >4000 for levetiracetam 15 versus 7 mg/kg to achieve 80% power (5% type I error). For propofol 1 mg/kg/h versus placebo, 1200 participants were needed. Simulations comparing propofol at varying doses did not reach 80% power even at samples >1200. CONCLUSIONS Our simulations using drug efficacy show sample sizes are infeasible, even for potentially unethical placebo-control trials. We highlight the strength of simulations with observational data to inform the null hypotheses and propose use of this simulation-based RCT paradigm to assess the feasibility of future trials of anti-seizure treatment in acute brain injury.
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Affiliation(s)
- Harsh Parikh
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Haoqi Sun
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Rajesh Amerineni
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Cynthia Rudin
- Department of Computer Science, Duke University, Duke, North Carolina, USA
| | - M Brandon Westover
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
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11
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Tanaka T, Ihara M, Fukuma K, Mishra NK, Koepp MJ, Guekht A, Ikeda A. Pathophysiology, Diagnosis, Prognosis, and Prevention of Poststroke Epilepsy: Clinical and Research Implications. Neurology 2024; 102:e209450. [PMID: 38759128 PMCID: PMC11175639 DOI: 10.1212/wnl.0000000000209450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 03/13/2024] [Indexed: 05/19/2024] Open
Abstract
Poststroke epilepsy (PSE) is associated with higher mortality and poor functional and cognitive outcomes in patients with stroke. With the remarkable development of acute stroke treatment, there is a growing number of survivors with PSE. Although approximately 10% of patients with stroke develop PSE, given the significant burden of stroke worldwide, PSE is a significant problem in stroke survivors. Therefore, the attention of health policymakers and significant funding are required to promote PSE prevention research. The current PSE definition includes unprovoked seizures occurring more than 7 days after stroke onset, given the high recurrence risks of seizures. However, the pathologic cascade of stroke is not uniform, indicating the need for a tissue-based approach rather than a time-based one to distinguish early seizures from late seizures. EEG is a commonly used tool in the diagnostic work-up of PSE. EEG findings during the acute phase of stroke can potentially stratify the risk of subsequent seizures and predict the development of poststroke epileptogenesis. Recent reports suggest that cortical superficial siderosis, which may be involved in epileptogenesis, is a promising marker for PSE. By incorporating such markers, future risk-scoring models could guide treatment strategies, particularly for the primary prophylaxis of PSE. To date, drugs that prevent poststroke epileptogenesis are lacking. The primary challenge involves the substantial cost burden due to the difficulty of reliably enrolling patients who develop PSE. There is, therefore, a critical need to determine reliable biomarkers for PSE. The goal is to be able to use them for trial enrichment and as a surrogate outcome measure for epileptogenesis. Moreover, seizure prophylaxis is essential to prevent functional and cognitive decline in stroke survivors. Further elucidation of factors that contribute to poststroke epileptogenesis is eagerly awaited. Meanwhile, the regimen of antiseizure medications should be based on individual cardiovascular risk, psychosomatic comorbidities, and concomitant medications. This review summarizes the current understanding of poststroke epileptogenesis, its risks, prognostic models, prophylaxis, and strategies for secondary prevention of seizures and suggests strategies to advance research on PSE.
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Affiliation(s)
- Tomotaka Tanaka
- From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan
| | - Masafumi Ihara
- From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan
| | - Kazuki Fukuma
- From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan
| | - Nishant K Mishra
- From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan
| | - Matthias J Koepp
- From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan
| | - Alla Guekht
- From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan
| | - Akio Ikeda
- From the Department of Neurology (T.T., M.I., K.F.), National Cerebral and Cardiovascular Center, Osaka, Japan; Department of Neurology (N.K.M.), Yale University School of Medicine, New Haven, CT; Department of Clinical & Experimental Epilepsy (M.J.K.), UCL Queen Square Institute of Neurology, London, United Kingdom; Moscow Research and Clinical Center for Neuropsychiatry (A.G.), Pirogov Russian National Research Medical University, Russia; and Department of Epilepsy, Movement Disorders and Physiology (A.I.), Kyoto University Graduate School of Medicine, Japan
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12
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Harnicher B, Murray NM, Dresbach J, Collingridge DS, Reachi B, Bair J, Hoang Q, Fontaine GV. Ketamine reduces seizure and interictal continuum activity in refractory status epilepticus: a multicenter in-person and teleneurocritical care study. Neurol Sci 2024:10.1007/s10072-024-07635-0. [PMID: 38862653 DOI: 10.1007/s10072-024-07635-0] [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: 04/22/2024] [Accepted: 06/05/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND There is not a preferred medication for treating refractory status epilepticus (RSE) and intravenous ketamine is increasingly used. Ketamine efficacy, safety, dosage, and influence of other variables on seizure cessation while on ketamine infusions are not well studied. We aimed to characterize ketamine effect on RSE, including interictal activity on electroencephalogram (EEG) and when done by Teleneurocritical care (TNCC). METHODS We conducted a multicenter, retrospective study from August 2017 to October 2022. Patients 18 years or older who had RSE and received ketamine were included. The primary outcome was effect of ketamine on RSE including interictal activity; secondary outcomes were effect of other variables on RSE, care by TNCC, ketamine infusion dynamics, adverse events, and discharge outcomes. Logistic regression was used. RESULTS Fifty-one patients from five hospitals met inclusion criteria; 30 patients had RSE and interictal activity on EEG. Median age was 56.8 years (IQR 18.2) and 26% had previously diagnosed epilepsy. Sixteen (31%) patients were treated virtually by TNCC. In those with RSE on EEG, ketamine was added as the fourth antiseizure medication (mean 4.4, SD 1.6). An initial bolus of ketamine was used in 24% of patients (95 mg, IQR 47.5), the median infusion rate was 30.8 mcg/kg/min (IQR 40.4), and median infusion duration was 40 h (IQR 37). Ketamine was associated with 50% cessation of RSE and interictal activity at 24 h in 84% of patients, and complete seizure cessation in 43% of patients. In linear regression, ASMs prior to ketamine were associated with seizure cessation (OR 2.6, 95% CI 0.9-6.9, p = 0.05), while the inverse was seen with propofol infusions (OR 0.02, 95% CI 0.001-0.43, p = 0.01). RSE management by in-person NCC versus virtual by TNCC did not affect rates of seizure cessation. CONCLUSIONS Ketamine infusions for RSE were associated with reduced seizure burden at 24 h, with 84% of patients having 50% seizure reduction. Similar efficacy and safety was observed irrespective of underlying RSE etiology or when done via TNCC vs in-person NCC.
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Affiliation(s)
- Brittany Harnicher
- Intermountain Medical Center Department of Pharmacy, 5121 Cottonwood Street, Murray, UT, 84107, USA
| | - Nick M Murray
- Intermountain Medical Center Department of Neurology, Division of Neurocritical Care, 5121 Cottonwood Street, Murray, UT, 84107, USA.
| | - Jena Dresbach
- Intermountain Medical Center Department of Pharmacy, 5121 Cottonwood Street, Murray, UT, 84107, USA
| | - Dave S Collingridge
- Intermountain Medical Center Department of Research Analytics, Murray, UT, USA, 5121 Cottonwood Street, 84107
| | - Breyanna Reachi
- Intermountain Medical Center Department of Pharmacy, 5121 Cottonwood Street, Murray, UT, 84107, USA
| | - Jeremy Bair
- Intermountain Medical Center Department of Pharmacy, 5121 Cottonwood Street, Murray, UT, 84107, USA
| | - Quang Hoang
- Intermountain Medical Center Department of Pharmacy, 5121 Cottonwood Street, Murray, UT, 84107, USA
| | - Gabriel V Fontaine
- Intermountain Medical Center Department of Pharmacy, 5121 Cottonwood Street, Murray, UT, 84107, USA
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13
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Hwang J, Cho SM, Geocadin R, Ritzl EK. Methods of Evaluating EEG Reactivity in Adult Intensive Care Units: A Review. J Clin Neurophysiol 2024:00004691-990000000-00133. [PMID: 38857365 DOI: 10.1097/wnp.0000000000001078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024] Open
Abstract
PURPOSE EEG reactivity (EEG-R) has become widely used in intensive care units for diagnosing and prognosticating patients with disorders of consciousness. Despite efforts toward standardization, including the establishment of terminology for critical care EEG in 2012, the processes of testing and interpreting EEG-R remain inconsistent. METHODS A review was conducted on PubMed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Inclusion criteria consisted of articles published between January 2012, and November 2022, testing EEG-R on adult intensive care unit patients. Exclusion criteria included articles focused on highly specialized stimulation equipment or animal, basic science, or small case report studies. The Quality In Prognostic Studies tool was used to assess risk of bias. RESULTS One hundred and five articles were identified, with 26 variables collected for each. EEG-R testing varied greatly, including the number of stimuli (range: 1-8; 26 total described), stimulus length (range: 2-30 seconds), length between stimuli (range: 10 seconds-5 minutes), frequency of stimulus application (range: 1-9), frequency of EEG-R testing (range: 1-3 times daily), EEG electrodes (range: 4-64), personnel testing EEG-R (range: neurophysiologists to nonexperts), and sedation protocols (range: discontinuing all sedation to no attempt). EEG-R interpretation widely varied, including EEG-R definitions and grading scales, personnel interpreting EEG-R (range: EEG specialists to nonneurologists), use of quantitative methods, EEG filters, and time to detect EEG-R poststimulation (range: 1-30 seconds). CONCLUSIONS This study demonstrates the persistent heterogeneity of testing and interpreting EEG-R over the past decade, and contributing components were identified. Further many institutional efforts must be made toward standardization, focusing on the reproducibility and unification of these methods, and detailed documentation in the published literature.
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Affiliation(s)
- Jaeho Hwang
- Division of Epilepsy, Department of Neurology, Johns Hopkins Hospital, Baltimore, Maryland, U.S.A
| | - Sung-Min Cho
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine and Neurology, Johns Hopkins Hospital, Baltimore, Maryland, U.S.A.; and
| | - Romergryko Geocadin
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine and Neurology, Johns Hopkins Hospital, Baltimore, Maryland, U.S.A.; and
| | - Eva K Ritzl
- Division of Epilepsy, Department of Neurology, Johns Hopkins Hospital, Baltimore, Maryland, U.S.A
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine and Neurology, Johns Hopkins Hospital, Baltimore, Maryland, U.S.A.; and
- Division of Intraoperative Monitoring, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, U.S.A
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14
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Kaur M, Utidjian L, Abend NS, Dickinson K, Roebling R, McDonald J, Maltenfort MG, Foskett N, Elmoufti S, Guerriero RM, Jain BG, Pajor NM, Rao S, Shellhaas RA, Slaughter L, Forrest CB. Retrospective Multicenter Cohort Study on Safety and Electroencephalographic Response to Lacosamide for Neonatal Seizures. Pediatr Neurol 2024; 155:18-25. [PMID: 38579433 DOI: 10.1016/j.pediatrneurol.2024.03.007] [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: 06/30/2023] [Revised: 02/06/2024] [Accepted: 03/07/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND There is growing evidence supporting the safety and effectiveness of lacosamide in older children. However, minimal data are available for neonates. We aimed to determine the incidence of adverse events associated with lacosamide use and explore the electroencephalographic seizure response to lacosamide in neonates. METHODS A retrospective cohort study was conducted using data from seven pediatric hospitals from January 2009 to February 2020. For safety outcomes, neonates were followed for ≤30 days from index date. Electroencephalographic response of lacosamide was evaluated based on electroencephalographic reports for ≤3 days. RESULTS Among 47 neonates, 98% received the first lacosamide dose in the intensive care units. During the median follow-up of 12 days, 19% of neonates died, and the crude incidence rate per 1000 patient-days (95% confidence interval) of the adverse events by diagnostic categories ranged from 2.8 (0.3, 10.2) for blood or lymphatic system disorders and nervous system disorders to 10.5 (4.2, 21.6) for cardiac disorders. Electroencephalographic seizures were observed in 31 of 34 patients with available electroencephalographic data on the index date. There was seizure improvement in 29% of neonates on day 1 and also in 29% of neonates on day 2. On day 3, there was no change in 50% of neonates and unknown change in 50% of neonates. CONCLUSIONS The results are reassuring regarding the safety of lacosamide in neonates. Although some neonates had fewer seizures after lacosamide administration, the lack of a comparator arm and reliance on qualitative statements in electroencephalographic reports limit the preliminary efficacy results.
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Affiliation(s)
- Moninder Kaur
- RWE Neurology, UCB Pharma Ltd, Slough, UK; Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
| | - Levon Utidjian
- The Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Nicholas S Abend
- Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Kimberley Dickinson
- The Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Robert Roebling
- Epilepsy and Rare Syndrome Organisation, UCB Pharma, Monheim am Rhein, Germany
| | - Jill McDonald
- The Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Mitchell G Maltenfort
- The Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | | | - Sami Elmoufti
- Biometric & Quantitative Services-Launch Statistics, UCB Pharma, Morrisville, North Carolina
| | - Rejean M Guerriero
- Division of Pediatric Neurology, Department of Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri
| | - Badal G Jain
- Division of Neurology, Department of Pediatrics, Nemours Children's Health, Wilmington, Delaware
| | - Nathan M Pajor
- Divisions of Pulmonary Medicine and Biomedical Informatics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Suchitra Rao
- Department of Pediatrics (Infectious Diseases, Epidemiology and Hospital Medicine), University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, Colorado
| | - Renée A Shellhaas
- Division of Pediatric Neurology, Department of Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri
| | - Laurel Slaughter
- Division of Child Neurology, Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, Ohio
| | - Christopher B Forrest
- The Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
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15
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Parnia S, Patel J, Bloom BM, Kulstad E, Deakin CD, Spiegel R. Recalled experience of death: Disinhibition not degeneration in relation to death facilitates inner states of lucid hyperconsciousness with novel cognitive insights. Resuscitation 2024; 199:110205. [PMID: 38609063 DOI: 10.1016/j.resuscitation.2024.110205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/14/2024]
Affiliation(s)
- Sam Parnia
- Critical Care and Resuscitation Research Program, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
| | - Jignesh Patel
- Division of Pulmonary, Critical Care and Sleep Medicine, Stony Brook University Hospital, Long Island, NY, USA
| | - Benjamin M Bloom
- Department of Emergency Medicine, Royal London Hospital, Barts Health NHS Trust, London, U.K; Department of Emergency Medicine, Whipps Cross Hospital, Barts Health NHS Trust, London, UK; Department of Emergency Medicine, Newham Hospital, Barts Health NHS Trust, London, UK
| | - Erik Kulstad
- Department of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Charles D Deakin
- University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Rebecca Spiegel
- Department of Neurology, Stony Brook Level 4 Epilepsy Center at the School of Medicine Stony Brook University, Long Island, NY, USA
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16
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Rubinos C. Emergent Management of Status Epilepticus. Continuum (Minneap Minn) 2024; 30:682-720. [PMID: 38830068 DOI: 10.1212/con.0000000000001445] [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: 06/05/2024]
Abstract
OBJECTIVE Status epilepticus is a neurologic emergency that can be life- threatening. The key to effective management is recognition and prompt initiation of treatment. Management of status epilepticus requires a patient-specific-approach framework, consisting of four axes: (1) semiology, (2) etiology, (3) EEG correlate, and (4) age. This article provides a comprehensive overview of status epilepticus, highlighting the current treatment approaches and strategies for management and control. LATEST DEVELOPMENTS Administering appropriate doses of antiseizure medication in a timely manner is vital for halting seizure activity. Benzodiazepines are the first-line treatment, as demonstrated by three randomized controlled trials in the hospital and prehospital settings. Benzodiazepines can be administered through IV, intramuscular, rectal, or intranasal routes. If seizures persist, second-line treatments such as phenytoin and fosphenytoin, valproate, or levetiracetam are warranted. The recently published Established Status Epilepticus Treatment Trial found that all three of these drugs are similarly effective in achieving seizure cessation in approximately half of patients. For cases of refractory and super-refractory status epilepticus, IV anesthetics, including ketamine and γ-aminobutyric acid-mediated (GABA-ergic) medications, are necessary. There is an increasing body of evidence supporting the use of ketamine, not only in the early phases of stage 3 status epilepticus but also as a second-line treatment option. ESSENTIAL POINTS As with other neurologic emergencies, "time is brain" when treating status epilepticus. Antiseizure medication should be initiated quickly to achieve seizure cessation. There is a need to explore newer generations of antiseizure medications and nonpharmacologic modalities to treat status epilepticus.
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Fong MWK, Stephens E, Brockington A, Jayabal J, Scott S, Zhang T, Litchfield R, Beilharz E, Dalziel SR, Jones P, Yates K, Thornton V, Bergin PS. Status epilepticus in Auckland, New Zealand: Treatment patterns and determinants of outcome in a prospective population-based cohort. Epilepsia 2024; 65:1605-1619. [PMID: 38634858 DOI: 10.1111/epi.17975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/01/2024] [Accepted: 03/25/2024] [Indexed: 04/19/2024]
Abstract
OBJECTIVE Determination of the real-world performance of a health care system in the treatment of status epilepticus (SE). METHODS Prospective, multicenter population-based study of SE in Auckland, New Zealand (NZ) over 1 year, with data recorded in the EpiNet database. Focus on treatment patterns and determinants of SE duration and 30-day mortality. The incidence, etiology, ethnic discrepancies, and seizure characteristics of this cohort have been published previously. RESULTS A total of 365 patients were included in this treatment cohort; 326 patients (89.3%) were brought to hospital because of SE, whereas 39 patients (10.7%) developed SE during a hospital admission for another reason. Overall, 190 (52.1%) had a known history of epilepsy and 254 (70.0%) presented with SE with prominent motor activity. The mean Status Epilepticus Severity Score (STESS) was 2.15 and the mean SE duration of all patients was 44 min. SE self-terminated without any treatment in 84 patients (22.7%). Earlier administration of appropriately dosed benzodiazepine in the pre-hospital setting was a major determinant of SE duration. Univariate analysis demonstrated that mortality was significantly higher in older patients, patients with longer durations of SE, higher STESS, and patients who developed SE in hospital, but these did not maintain significance with multivariate analysis. There was no difference in the performance of the health care system in the treatment of SE across ethnic groups. SIGNIFICANCE When SE was defined as 10 continuous minutes of seizure, overall mortality was lower than expected and many patients had self-limited presentations for which no treatment was required. Although there were disparities in the incidence of SE across ethnic groups there was no difference in treatment or outcome. The finding highlights the benefit of a health care system designed to deliver universal health care.
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Affiliation(s)
- Michael W K Fong
- Westmead Comprehensive Epilepsy Centre, Westmead Hospital, University of Sydney, Sydney, New South Wales, Australia
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Eleanor Stephens
- Westmead Comprehensive Epilepsy Centre, Westmead Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Alice Brockington
- Auckland District Health Board, Grafton, Auckland, New Zealand
- Sheffield Teaching Hospitals, NHS Foundation Trust, Sheffield, UK
| | - Jayaganth Jayabal
- Auckland District Health Board, Grafton, Auckland, New Zealand
- Pantai-Gleneagles Hospital, Penang and Sungai Petani, Malaysia
| | - Shona Scott
- Auckland District Health Board, Grafton, Auckland, New Zealand
- Western General Hospital, Edinburgh, UK
| | - Tony Zhang
- Auckland District Health Board, Grafton, Auckland, New Zealand
| | | | - Erica Beilharz
- Auckland District Health Board, Grafton, Auckland, New Zealand
| | - Stuart R Dalziel
- Auckland District Health Board, Grafton, Auckland, New Zealand
- Department of Surgery and Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand
| | - Peter Jones
- Auckland District Health Board, Grafton, Auckland, New Zealand
| | - Kim Yates
- Waitematā District Health Board, Auckland, New Zealand
| | | | - Peter S Bergin
- Auckland District Health Board, Grafton, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
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18
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Mintz NB, Andrews N, Pan K, Bessette E, Asaad WF, Sherif M, Rubinos C, Mahta A, Girard TD, Reznik ME. Prevalence of clinical electroencephalography findings in stroke patients with delirium. Clin Neurophysiol 2024; 162:229-234. [PMID: 38548493 DOI: 10.1016/j.clinph.2024.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/15/2024] [Accepted: 03/06/2024] [Indexed: 05/19/2024]
Abstract
OBJECTIVE Delirium is an acute cognitive disorder associated with multiple electroencephalographic (EEG) abnormalities in non-neurological patients, though specific EEG characteristics in patients with stroke remain unclear. We aimed to compare the prevalence of EEG abnormalities in stroke patients during delirium episodes with periods that did not correspond to delirium. METHODS We retrospectively analyzed clinical EEG reports for stroke patients who received daily delirium assessments as part of a prospective study. We compared the prevalence of EEG features corresponding to patient-days with vs. without delirium, including focal and generalized slowing, and focal and generalized epileptiform abnormalities (EAs). RESULTS Among 58 patients who received EEGs, there were 192 days of both EEG and delirium monitoring (88% [n = 169] corresponding to delirium). Generalized slowing was significantly more prevalent on days with vs. without delirium (96% vs. 57%, p = 0.03), as were bilateral or generalized EAs (38% vs. 13%, p = 0.03). In contrast, focal slowing (53% vs. 74%, p = 0.11) and focal EAs were less prevalent on days with delirium (38% vs. 48%, p = 0.37), though these differences were not statistically significant. CONCLUSIONS We found a higher prevalence of generalized but not focal EEG abnormalities in stroke patients with delirium. SIGNIFICANCE These findings may reinforce the diffuse nature of delirium-associated encephalopathy, even in patients with discrete structural lesions.
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Affiliation(s)
- Noa B Mintz
- Department of Neurology, Brown University, Alpert Medical School, United States
| | - Nicholas Andrews
- Department of Neurology, Brown University, Alpert Medical School, United States
| | - Kelly Pan
- Department of Neurology, Brown University, Alpert Medical School, United States
| | - Eric Bessette
- Department of Neurology, Brown University, Alpert Medical School, United States
| | - Wael F Asaad
- Department of Neurosurgery, Brown University, Alpert Medical School, United States; Department of Neuroscience, Brown University, United States; Carney Institute for Brain Science, Brown University, United States; Norman Prince Neurosciences Institute, Rhode Island Hospital, United States
| | - Mohamed Sherif
- Carney Institute for Brain Science, Brown University, United States; Norman Prince Neurosciences Institute, Rhode Island Hospital, United States; Department of Psychiatry and Human Behavior, Brown University, Alpert Medical School, United States
| | - Clio Rubinos
- Department of Neurology, University of North Carolina School of Medicine, United States
| | - Ali Mahta
- Department of Neurology, Brown University, Alpert Medical School, United States; Department of Neurosurgery, Brown University, Alpert Medical School, United States; Norman Prince Neurosciences Institute, Rhode Island Hospital, United States
| | - Timothy D Girard
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, United States
| | - Michael E Reznik
- Department of Neurology, Brown University, Alpert Medical School, United States; Department of Neurosurgery, Brown University, Alpert Medical School, United States; Carney Institute for Brain Science, Brown University, United States; Norman Prince Neurosciences Institute, Rhode Island Hospital, United States; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, United States.
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19
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Bode CM, Kristensen SB, Olsen HT, Cornwall CD, Roberg L, Monsson O, Krøigård T, Toft P, Beier CP. Postictal Encephalopathy After Status Epilepticus: Outcome and Risk Factors. Neurocrit Care 2024; 40:1025-1035. [PMID: 37940836 PMCID: PMC11147838 DOI: 10.1007/s12028-023-01868-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/22/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Postictal encephalopathy is well known after status epilepticus (SE), but its prognostic impact and triggers are unknown. Here, we aimed to establish risk factors for the development of postictal encephalopathy and to study its impact on survival after discharge. METHODS This retrospective cohort study comprised adult patients diagnosed with first nonanoxic SE at Odense University Hospital between January 2008 and December 2017. Patients with ongoing SE at discharge or unknown treatment success were excluded. Postictal symptoms of encephalopathy were estimated retrospectively using the West Haven Criteria (WHC). WHC grade was determined for postictal day 1 to 14 or until the patient died or was discharged from the hospital. Cumulative postictal WHC during 14 days after SE-cessation was used to quantify postictal encephalopathy. Clinical characteristics, patient demographics, electroencephalographic and imaging features, and details on intensive care treatment were assessed from medical records. RESULTS Of all eligible patients (n = 232), 198 (85.3%) had at least WHC grade 2 postictal encephalopathy that lasted for > 14 days in 24.5% of the surviving patients. WHC grade at discharge was strongly associated with poor long-term survival (p < 0.001). Postictal encephalopathy was not associated with nonconvulsive SE, postictal changes on magnetic resonance imaging, or distinct ictal patterns on electroencephalography. Although duration of SE and treatment in the intensive care unit showed an association with cumulative postictal WHC grade, they were not independently associated with the degree of encephalopathy when controlling for confounders. In a linear regression model, etiology, duration of sedation, age, and premorbid modified Rankin Scale were significant and consistent predictors for higher cumulative postictal WHC grade. Exploratory analyses showed an association of a cumulative midazolam dosage (mg/kg/h) with higher cumulative postictal WHC grade. DISCUSSION In this cohort, postictal encephalopathy after SE was common and associated with poor long-term survival. Seizure characteristics were not independently associated with postictal encephalopathy; the underlying etiology, long (high-dose midazolam) sedation, high age, and poor premorbid condition were the major risk factors for its development.
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Affiliation(s)
- Clara Marie Bode
- Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark
| | - Simon Bruun Kristensen
- Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark
| | | | - Camilla Dyremose Cornwall
- Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Lars Roberg
- Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark
| | - Olav Monsson
- Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark
| | - Thomas Krøigård
- Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Neurophysiology, Odense University Hospital, Odense, Denmark
| | - Palle Toft
- Department of Anesthesiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Christoph P Beier
- Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark.
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
- OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, Denmark.
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20
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Legriel S. Burst Suppression as a Treatment Goal in Refractory Status Epilepticus. Neurocrit Care 2024; 40:847-848. [PMID: 37921931 DOI: 10.1007/s12028-023-01880-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 10/06/2023] [Indexed: 11/05/2023]
Affiliation(s)
- Stephane Legriel
- Intensive Care Unit, Centre Hospitalier de Versailles, 78150, Le Chesnay, France.
- IctalGroup, Le Chesnay, France.
- University Paris-Saclay, UVSQ, INSERM, CESP, Villejuif, France.
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21
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Jacobwitz M, Mulvihill C, Kaufman MC, Gonzalez AK, Resendiz K, Francoeur C, Helbig I, Topjian AA, Abend NS. A Comparison of Ketamine and Midazolam as First-Line Anesthetic Infusions for Pediatric Status Epilepticus. Neurocrit Care 2024; 40:984-995. [PMID: 37783824 DOI: 10.1007/s12028-023-01859-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 09/08/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND Pediatric refractory status epilepticus (RSE) often requires management with anesthetic infusions, but few data compare first-line anesthetics. This study aimed to compare the efficacy and adverse effects of midazolam and ketamine infusions as first-line anesthetics for pediatric RSE. METHODS Retrospective single-center study of consecutive study participants treated with ketamine or midazolam as the first-line anesthetic infusions for RSE at a quaternary care children's hospital from December 1, 2017, until September 15, 2021. RESULTS We identified 117 study participants (28 neonates), including 79 (68%) who received midazolam and 38 (32%) who received ketamine as the first-line anesthetic infusions. Seizures terminated more often in study participants administered ketamine (61%, 23/38) than midazolam (28%, 22/79; odds ratio [OR] 3.97, 95% confidence interval [CI] 1.76-8.98; P < 0.01). Adverse effects occurred more often in study participants administered midazolam (24%, 20/79) than ketamine (3%, 1/38; OR 12.54, 95% CI 1.61-97.43; P = 0.016). Study participants administered ketamine were younger, ketamine was used more often for children with acute symptomatic seizures, and midazolam was used more often for children with epilepsy. Multivariable logistic regression of seizure termination by first-line anesthetic infusion (ketamine or midazolam) including age at SE onset, SE etiology category, and individual seizure duration at anesthetic infusion initiation indicated seizures were more likely to terminate following ketamine than midazolam (OR 4.00, 95% CI 1.69-9.49; P = 0.002) and adverse effects were more likely following midazolam than ketamine (OR 13.41, 95% CI 1.61-111.04; P = 0.016). Survival to discharge was higher among study participants who received midazolam (82%, 65/79) than ketamine (55%, 21/38; P = 0.002), although treating clinicians did not attribute any deaths to ketamine or midazolam. CONCLUSIONS Among children and neonates with RSE, ketamine was more often followed by seizure termination and less often associated with adverse effects than midazolam when administered as the first-line anesthetic infusion. Further prospective data are needed to compare first-line anesthetics for RSE.
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Affiliation(s)
- Marin Jacobwitz
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, 34th and Civic Center Blvd, Philadelphia, PA, 19104, USA.
| | - Caitlyn Mulvihill
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, 34th and Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Michael C Kaufman
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, 34th and Civic Center Blvd, Philadelphia, PA, 19104, USA
- The Epilepsy NeuroGenetics Initiative, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Alexander K Gonzalez
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, 34th and Civic Center Blvd, Philadelphia, PA, 19104, USA
- The Epilepsy NeuroGenetics Initiative, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Karla Resendiz
- Department of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Conall Francoeur
- Division of Critical Care, Québec, QC, Canada
- Department of Pediatrics, Centre Hospitalier Universitaire de Québec-University of Laval Research Center, Québec, QC, Canada
| | - Ingo Helbig
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, 34th and Civic Center Blvd, Philadelphia, PA, 19104, USA
- The Epilepsy NeuroGenetics Initiative, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Alexis A Topjian
- Department of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nicholas S Abend
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, 34th and Civic Center Blvd, Philadelphia, PA, 19104, USA
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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22
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Hawkes MA, Eliliwi M, Wijdicks EFM. The Origin of the Burst-Suppression Paradigm in Treatment of Status Epilepticus. Neurocrit Care 2024; 40:849-854. [PMID: 37921932 DOI: 10.1007/s12028-023-01877-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/26/2023] [Indexed: 11/05/2023]
Abstract
After electroencephalography (EEG) was introduced in hospitals, early literature recognized burst-suppression pattern (BSP) as a distinctive EEG pattern characterized by intermittent high-power oscillations alternating with isoelectric periods in coma and epileptic encephalopathies of childhood or the pattern could be induced by general anesthesia and hypothermia. The term was introduced by Swank and Watson in 1949 but was initially described by Derbyshire et al. in 1936 in their study about the anesthetic effects of tribromoethanol. Once the EEG/BSP pattern emerged in the literature as therapeutic goal in refractory status epilepticus, researchers began exploring whether the depth of EEG suppression correlated with improved seizure control and clinical outcomes. We can conclude that, from a historical perspective, the evidence to suppress the brain to a BSP when treating status epilepticus is inconclusive.
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Affiliation(s)
- Maximiliano A Hawkes
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Mouhanned Eliliwi
- Division of Pulmonary Critical Care, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Eelco F M Wijdicks
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
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23
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Bögli SY, Cherchi MS, Olakorede I, Lavinio A, Beqiri E, Moyer E, Moberg D, Smielewski P. Pitfalls and possibilities of using Root SedLine for continuous assessment of EEG waveform-based metrics in intensive care research. Physiol Meas 2024; 45:05NT02. [PMID: 38697208 DOI: 10.1088/1361-6579/ad46e4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 05/01/2024] [Indexed: 05/04/2024]
Abstract
Objective.The Root SedLine device is used for continuous electroencephalography (cEEG)-based sedation monitoring in intensive care patients. The cEEG traces can be collected for further processing and calculation of relevant metrics not already provided. Depending on the device settings during acquisition, the acquired traces may be distorted by max/min value cropping or high digitization errors. We aimed to systematically assess the impact of these distortions on metrics used for clinical research in the field of neuromonitoring.Approach.A 16 h cEEG acquired using the Root SedLine device at the optimal screen settings was analyzed. Cropping and digitization error effects were simulated by consecutive reduction of the maximum cEEG amplitude by 2µV or by reducing the vertical resolution. Metrics were calculated within ICM+ using minute-by-minute data, including the total power, alpha delta ratio (ADR), and 95% spectral edge frequency. Data were analyzed by creating violin- or box-plots.Main Results.Cropping led to a continuous reduction in total and band power, leading to corresponding changes in variability thereof. The relative power and ADR were less affected. Changes in resolution led to relevant changes. While the total power and power of low frequencies were rather stable, the power of higher frequencies increased with reducing resolution.Significance.Care must be taken when acquiring and analyzing cEEG waveforms from Root SedLine for clinical research. To retrieve good quality metrics, the screen settings must be kept within the central vertical scale, while pre-processing techniques must be applied to exclude unacceptable periods.
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Affiliation(s)
- Stefan Yu Bögli
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Marina Sandra Cherchi
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Department of Critical Care, Marqués de Valdecilla University Hospital, and Biomedical Research Institute (IDIVAL), Santander, Cantabria, Spain
| | - Ihsane Olakorede
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Andrea Lavinio
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Ethan Moyer
- Moberg Analytics Ltd, Philadelphia, PA, United States of America
| | - Dick Moberg
- Moberg Analytics Ltd, Philadelphia, PA, United States of America
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
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Hoorn CSM, Admiraal MM, Koelman JHTM, Stam CJ, van Straaten ECW, Slot RER, Horn J, van Rootselaar AF. Clinical observation: Rhythmic and periodic EEG patterns in postanoxic coma can possibly be related to propofol discontinuation. Resuscitation 2024; 201:110255. [PMID: 38806141 DOI: 10.1016/j.resuscitation.2024.110255] [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: 03/20/2024] [Revised: 05/19/2024] [Accepted: 05/21/2024] [Indexed: 05/30/2024]
Abstract
OBJECTIVES To investigate whether rhythmic/periodic EEG patterns (RPP) appearing after propofol discontinuation are more likely to be related to the elimination phase of propofol, or are an expression of severe brain damage. METHODS In a retrospective cohort of comatose postanoxic patients, EEG was assessed one hour before (baseline) and on hour after discontinuation of propofol. Presence and duration of RPP were related to (changes in) EEG background pattern and duration of sedation. RESULTS In eleven (of 36 eligible) patients RPP appeared after propofol discontinuation and disappeared in seven of these patients within one hour. A continuous background pattern at baseline and shorter duration of propofol infusion seemed associated with (earlier) spontaneous disappearance of RPP. In ten patients with RPP at baseline, the EEG did not change, and in one patient it changed into burst-suppression. CONCLUSION Our findings suggest that RPP after propofol discontinuation could be propofol-related. DISCUSSION RPP might be related to propofol discontinuation rather than an expression of severe brain damage, especially in case of, and congruent with, a continuous pattern at the time of propofol discontinuation. This opens a new insight in this phenomenon and its transient nature. In clinical practice, we suggest to consider the timing of propofol discontinuation when assessing the EEG signal in postanoxic patients.
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Affiliation(s)
- Cathaleine S M Hoorn
- Amsterdam UMC, University of Amsterdam, Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam, Netherlands
| | - Marjolein M Admiraal
- Amsterdam UMC, University of Amsterdam, Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam, Netherlands
| | - Johannes H T M Koelman
- Amsterdam UMC, University of Amsterdam, Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam, Netherlands
| | - Cornelis J Stam
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, Netherlands
| | - Elisabeth C W van Straaten
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, Netherlands
| | - Rosalinde E R Slot
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, Netherlands
| | - Janneke Horn
- Amsterdam UMC, University of Amsterdam, Department of Intensive Care Medicine, Meibergdreef 9, Amsterdam, Netherlands
| | - Anne-Fleur van Rootselaar
- Amsterdam UMC, University of Amsterdam, Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam, Netherlands.
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Plante V, Basu M, Gettings JV, Luchette M, LaRovere KL. Update in Pediatric Neurocritical Care: What a Neurologist Caring for Critically Ill Children Needs to Know. Semin Neurol 2024. [PMID: 38788765 DOI: 10.1055/s-0044-1787047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Currently nearly one-quarter of admissions to pediatric intensive care units (PICUs) worldwide are for neurocritical care diagnoses that are associated with significant morbidity and mortality. Pediatric neurocritical care is a rapidly evolving field with unique challenges due to not only age-related responses to primary neurologic insults and their treatments but also the rarity of pediatric neurocritical care conditions at any given institution. The structure of pediatric neurocritical care services therefore is most commonly a collaborative model where critical care medicine physicians coordinate care and are supported by a multidisciplinary team of pediatric subspecialists, including neurologists. While pediatric neurocritical care lies at the intersection between critical care and the neurosciences, this narrative review focuses on the most common clinical scenarios encountered by pediatric neurologists as consultants in the PICU and synthesizes the recent evidence, best practices, and ongoing research in these cases. We provide an in-depth review of (1) the evaluation and management of abnormal movements (seizures/status epilepticus and status dystonicus); (2) acute weakness and paralysis (focusing on pediatric stroke and select pediatric neuroimmune conditions); (3) neuromonitoring modalities using a pathophysiology-driven approach; (4) neuroprotective strategies for which there is evidence (e.g., pediatric severe traumatic brain injury, post-cardiac arrest care, and ischemic stroke and hemorrhagic stroke); and (5) best practices for neuroprognostication in pediatric traumatic brain injury, cardiac arrest, and disorders of consciousness, with highlights of the 2023 updates on Brain Death/Death by Neurological Criteria. Our review of the current state of pediatric neurocritical care from the viewpoint of what a pediatric neurologist in the PICU needs to know is intended to improve knowledge for providers at the bedside with the goal of better patient care and outcomes.
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Affiliation(s)
- Virginie Plante
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
| | - Meera Basu
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | | | - Matthew Luchette
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
| | - Kerri L LaRovere
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
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Benghanem S, Kubis N, Gayat E, Loiodice A, Pruvost-Robieux E, Sharshar T, Foucrier A, Figueiredo S, Bouilleret V, De Montmollin E, Bagate F, Lefaucheur JP, Guidet B, Appartis E, Cariou A, Varnet O, Jost PH, Megarbane B, Degos V, Le Guennec L, Naccache L, Legriel S, Woimant F, Gregoire C, Cortier D, Crassard I, Timsit JF, Mazighi M, Sonneville R. Prognostic value of early EEG abnormalities in severe stroke patients requiring mechanical ventilation: a pre-planned analysis of the SPICE prospective multicenter study. Crit Care 2024; 28:173. [PMID: 38783313 PMCID: PMC11119574 DOI: 10.1186/s13054-024-04957-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 05/17/2024] [Indexed: 05/25/2024] Open
Abstract
INTRODUCTION Prognostication of outcome in severe stroke patients necessitating invasive mechanical ventilation poses significant challenges. The objective of this study was to assess the prognostic significance and prevalence of early electroencephalogram (EEG) abnormalities in adult stroke patients receiving mechanical ventilation. METHODS This study is a pre-planned ancillary investigation within the prospective multicenter SPICE cohort study (2017-2019), conducted in 33 intensive care units (ICUs) in the Paris area, France. We included adult stroke patients requiring invasive mechanical ventilation, who underwent at least one intermittent EEG examination during their ICU stay. The primary endpoint was the functional neurological outcome at one year, determined using the modified Rankin scale (mRS), and dichotomized as unfavorable (mRS 4-6, indicating severe disability or death) or favorable (mRS 0-3). Multivariable regression analyses were employed to identify EEG abnormalities associated with functional outcomes. RESULTS Of the 364 patients enrolled in the SPICE study, 153 patients (49 ischemic strokes, 52 intracranial hemorrhages, and 52 subarachnoid hemorrhages) underwent at least one EEG at a median time of 4 (interquartile range 2-7) days post-stroke. Rates of diffuse slowing (70% vs. 63%, p = 0.37), focal slowing (38% vs. 32%, p = 0.15), periodic discharges (2.3% vs. 3.7%, p = 0.9), and electrographic seizures (4.5% vs. 3.7%, p = 0.4) were comparable between patients with unfavorable and favorable outcomes. Following adjustment for potential confounders, an unreactive EEG background to auditory and pain stimulations (OR 6.02, 95% CI 2.27-15.99) was independently associated with unfavorable outcomes. An unreactive EEG predicted unfavorable outcome with a specificity of 48% (95% CI 40-56), sensitivity of 79% (95% CI 72-85), and positive predictive value (PPV) of 74% (95% CI 67-81). Conversely, a benign EEG (defined as continuous and reactive background activity without seizure, periodic discharges, triphasic waves, or burst suppression) predicted favorable outcome with a specificity of 89% (95% CI 84-94), and a sensitivity of 37% (95% CI 30-45). CONCLUSION The absence of EEG reactivity independently predicts unfavorable outcomes at one year in severe stroke patients requiring mechanical ventilation in the ICU, although its prognostic value remains limited. Conversely, a benign EEG pattern was associated with a favorable outcome.
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Affiliation(s)
- Sarah Benghanem
- AP-HP.Centre, Medical ICU, Cochin Hospital, Paris, France
- University Paris Cité, Medical School, Paris, France
- INSERM UMR 1266, Institut de Psychiatrie et Neurosciences de Paris-IPNP, Paris, France
| | - Nathalie Kubis
- University Paris Cité, Medical School, Paris, France
- APHP.Nord, Clinical Physiology Department, UMRS_1144, Université Paris Cite, Paris, France
| | - Etienne Gayat
- University Paris Cité, Medical School, Paris, France
- APHP.Nord, Department of Anesthesiology and Critical Care, DMU Parabol, Université Paris Cite, Paris, France
| | | | - Estelle Pruvost-Robieux
- University Paris Cité, Medical School, Paris, France
- INSERM UMR 1266, Institut de Psychiatrie et Neurosciences de Paris-IPNP, Paris, France
- Neurophysiology and Epileptology Department, GHU Psychiatry & Neurosciences, Sainte Anne, Paris, France
| | - Tarek Sharshar
- University Paris Cité, Medical School, Paris, France
- Department of Neuroanesthesiology and Intensive Care, Sainte Anne Hospital, Paris, France
| | - Arnaud Foucrier
- APHP, Department of Anesthesiology and Critical Care, Beaujon University Hospital, Clichy, France
| | - Samy Figueiredo
- APHP, Department of Anesthesiology and Critical Care, Bicêtre University Hospitals, Le Kremlin Bicêtre, France
| | - Viviane Bouilleret
- Neurophysiology and Epileptology Department, Bicêtre University Hospitals, Le Kremlin Bicêtre, France
| | | | - François Bagate
- APHP, Department of Intensive Care Medicine, Henri Mondor University Hospital and Université de Paris Est Créteil, Créteil, France
| | | | - Bertrand Guidet
- APHP, Department of Intensive Care Medicine, Saint Antoine University Hospital, Paris, France
| | - Emmanuelle Appartis
- Neurophysiology Department, Saint Antoine University Hospital, Paris, France
| | - Alain Cariou
- AP-HP.Centre, Medical ICU, Cochin Hospital, Paris, France
- University Paris Cité, Medical School, Paris, France
| | - Olivier Varnet
- APHP, Department of Physiology, Bichat-Claude Bernard University Hospital, 75018, Paris, France
| | - Paul Henri Jost
- APHP, Department of Anesthesiology and Intensive Care, Henri Mondor Hospital, Creteil, France
| | | | - Vincent Degos
- APHP, Department of Anesthesiology and Neurointensive Care, Pitié Salpétrière Hospital, Paris, France
| | - Loic Le Guennec
- APHP, Medical ICU, Pitié Salpétrière Hospital, Paris, France
| | - Lionel Naccache
- APHP, Department of Physiology, Pitié Salpétrière Hospital, Paris, France
| | | | | | - Charles Gregoire
- Department of Intensive Care, Rothschild Hospital Foundation, Paris, France
| | - David Cortier
- Department of Intensive Care, Foch Hospital, Paris, France
| | | | - Jean-François Timsit
- APHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, 46 rue Henri Huchard, 75018, Paris, France
- Université Paris Cité, INSERM UMR 1137, IAME, Paris, France
| | - Mikael Mazighi
- APHP Nord, Department of Neurology, Lariboisière University Hospital, Department of Interventional Neuroradiology, Fondation Rothschild Hospital, FHU Neurovasc, Paris, France
- Université Paris Cité, INSERM UMR 1144, Paris, France
| | - Romain Sonneville
- APHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, 46 rue Henri Huchard, 75018, Paris, France.
- Université Paris Cité, INSERM UMR 1137, IAME, Paris, France.
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Draghi F, Pancani S, De Nisco A, Romoli AM, Maccanti D, Burali R, Grippo A, Macchi C, Cecchi F, Hakiki B. Implications of the Consciousness State on Decannulation in Patients With a Prolonged Disorder of Consciousness. Arch Phys Med Rehabil 2024:S0003-9993(24)00994-8. [PMID: 38734048 DOI: 10.1016/j.apmr.2024.05.006] [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: 10/09/2023] [Revised: 05/02/2024] [Accepted: 05/02/2024] [Indexed: 05/13/2024]
Abstract
OBJECTIVE To prospectively investigate the evolution of the consciousness state and the cannula-weaning progression in patients with prolonged disorders of consciousness. DESIGN Nonconcurrent cohort study. SETTING A rehabilitation unit. PARTICIPANTS Adult patients (N=144) with prolonged disorders of consciousness after a severe acquired brain injury admitted between June 2020 and September 2022. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Consciousness state was assessed by repeated Coma Recovery Scale-Revised (CRS-R) questionnaire administration at admission and weekly afterward. The dates of the first improvement of consciousness state and the achievement of decannulation were recorded. Decannulation followed an internal protocol of multiprofessional rehabilitation. RESULTS One hundred forty-four patients were included: age, 69 years; 64 (44.4%) with hemorrhagic etiology; time post onset, 40 days, CRS-R score at admission, 9, median length of stay, 90 days. Seventy-three (50.7%) patients were decannulated. They showed a significantly higher CRS-R (P<.001) and states of consciousness (P<.001) at admission, at the first improvement of the consciousness state (P=.003), and at discharge (P<.001); a lower severity in the Cumulative Illness Rating Scale at admission (P=.01); and a lower rate of pulmonary infections with recurrence (P=.021), compared with nondecannulated patients. Almost all decannulated patients (97.3%) improved their consciousness before decannulation. Consciousness states at decannulation were as follows: unresponsive wakefulness syndrome, 0 (0%); minimally conscious state (MCS) minus, 4 (5.5%); MCS plus, 7 (9.6%); and emergence from MCS, 62 (84.9%). Kaplan-Meier analysis showed a significant divergence between the curves with a higher probability of decannulation in patients who improved consciousness (P<.001). CONCLUSIONS This study showed that the presence of signs of consciousness, even subtle, is a necessary condition for decannulation, suggesting that consciousness may influence some of the components implied in the decannulation process.
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Affiliation(s)
- Francesca Draghi
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence
| | - Silvia Pancani
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence.
| | - Agnese De Nisco
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence
| | - Anna Maria Romoli
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence
| | - Daniela Maccanti
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence
| | - Rachele Burali
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence
| | - Antonello Grippo
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence
| | - Claudio Macchi
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Francesca Cecchi
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Bahia Hakiki
- Istituto di Ricovero e Cura a Carattere Scientifico Fondazione Don Carlo Gnocchi Onlus, Florence; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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Lin R, Du N, Ning S, Zhang M, Feng J, Chen X, Ma L, Li J. Distinct profiles of cerebral oxygenation in focal vs. secondarily generalized EEG seizures in children undergoing cardiac surgery. Front Neurol 2024; 15:1353366. [PMID: 38784902 PMCID: PMC11111896 DOI: 10.3389/fneur.2024.1353366] [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: 12/10/2023] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
Objectives Seizures are common in children undergoing cardiopulmonary bypass (CPB). Cerebral oxygen saturation (ScO2) by near-infrared spectroscopy is routinely monitored in many centers, but the relations between the levels and changes of ScO2 and brain injuries remain incompletely understood. We aimed to analyze the postoperative profiles of ScO2 and cerebral blood flow velocity in different types of EEG seizures in relation to brain injuries on MRI. Methods We monitored continuous EEG and ScO2 in 337 children during the first 48 h after CPB, which were analyzed in 3 h periods. Cerebral blood flow peak systolic velocity (PSV) in the middle cerebral artery was measured daily by transcranial Doppler. Postoperative cerebral MRI was performed before hospital discharge. Results Based on the occurrence and spreading types of seizures, patients were divided into three groups as patients without seizures (Group N; n = 309), those with focal seizures (Group F; n = 13), or with secondarily generalized seizures (Group G; n = 15). There were no significant differences in the onset time and duration of seizures and incidence of status epilepticus between the two seizures groups (Ps ≥ 0.27). ScO2 increased significantly faster across Group N, Group G, and Group F during the 48 h (p < 0.0001) but its overall levels were not significantly different among the three groups (p = 0.30). PSV was significantly lower (p = 0.003) but increased significantly faster (p = 0.0003) across Group N, Group G, and Group F. Group F had the most severe brain injuries and the highest incidence of white matter injuries on MRI among the three groups (Ps ≤ 0.002). Conclusion Postoperative cerebral oxygenation showed distinct profiles in secondarily generalized and particularly focal types of EEG seizures in children after CPB. A state of 'overshooting' ScO2 with persistently low PSV was more frequently seen in those with focal seizures and more severe brain injury. Information from this study may have important clinical implications in detecting brain injuries when monitoring cerebral oxygenation in this vulnerable group of children after CPB.
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Affiliation(s)
- Rouyi Lin
- Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Clinical Physiology Laboratory, Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Na Du
- Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Heart Center, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Shuyao Ning
- Department of Electroneurophysiology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University Guangdong Province, Guangzhou, China
| | - Mingjie Zhang
- Department of Radiology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University Guangdong Province, Guangzhou, China
| | - Jinqing Feng
- Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Clinical Physiology Laboratory, Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xinxin Chen
- Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Heart Center, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Li Ma
- Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Heart Center, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jia Li
- Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Clinical Physiology Laboratory, Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
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29
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Xie K, Royer J, Larivière S, Rodriguez-Cruces R, Frässle S, Cabalo DG, Ngo A, DeKraker J, Auer H, Tavakol S, Weng Y, Abdallah C, Arafat T, Horwood L, Frauscher B, Caciagli L, Bernasconi A, Bernasconi N, Zhang Z, Concha L, Bernhardt BC. Atypical connectome topography and signal flow in temporal lobe epilepsy. Prog Neurobiol 2024; 236:102604. [PMID: 38604584 DOI: 10.1016/j.pneurobio.2024.102604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 12/18/2023] [Accepted: 04/07/2024] [Indexed: 04/13/2024]
Abstract
Temporal lobe epilepsy (TLE) is the most common pharmaco-resistant epilepsy in adults. While primarily associated with mesiotemporal pathology, recent evidence suggests that brain alterations in TLE extend beyond the paralimbic epicenter and impact macroscale function and cognitive functions, particularly memory. Using connectome-wide manifold learning and generative models of effective connectivity, we examined functional topography and directional signal flow patterns between large-scale neural circuits in TLE at rest. Studying a multisite cohort of 95 patients with TLE and 95 healthy controls, we observed atypical functional topographies in the former group, characterized by reduced differentiation between sensory and transmodal association cortices, with most marked effects in bilateral temporo-limbic and ventromedial prefrontal cortices. These findings were consistent across all study sites, present in left and right lateralized patients, and validated in a subgroup of patients with histopathological validation of mesiotemporal sclerosis and post-surgical seizure freedom. Moreover, they were replicated in an independent cohort of 30 TLE patients and 40 healthy controls. Further analyses demonstrated that reduced differentiation related to decreased functional signal flow into and out of temporolimbic cortical systems and other brain networks. Parallel analyses of structural and diffusion-weighted MRI data revealed that topographic alterations were independent of TLE-related cortical thinning but partially mediated by white matter microstructural changes that radiated away from paralimbic circuits. Finally, we found a strong association between the degree of functional alterations and behavioral markers of memory dysfunction. Our work illustrates the complex landscape of macroscale functional imbalances in TLE, which can serve as intermediate markers bridging microstructural changes and cognitive impairment.
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Affiliation(s)
- Ke Xie
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Jessica Royer
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada; Analytical Neurophysiology Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Sara Larivière
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Raul Rodriguez-Cruces
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Stefan Frässle
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Donna Gift Cabalo
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Alexander Ngo
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Jordan DeKraker
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Hans Auer
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Shahin Tavakol
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Yifei Weng
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Chifaou Abdallah
- Analytical Neurophysiology Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Thaera Arafat
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Linda Horwood
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada; Analytical Neurophysiology Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Birgit Frauscher
- Analytical Neurophysiology Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada; Department of Neurology, Duke University School of Medicine and Department of Biomedical Engineering, Duke University Pratt School of Engineering, Durham, NC 27705, USA
| | - Lorenzo Caciagli
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, University of Bern, Bern, Switzerland; Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London WC1N 3 BG, United Kingdom
| | - Andrea Bernasconi
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Neda Bernasconi
- Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada
| | - Zhiqiang Zhang
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Luis Concha
- Institute of Neurobiology, Universidad Nacional Autónoma de Mexico (UNAM), Queretaro, Mexico
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC H3A 2B4, Canada.
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Hébert J, De Santis RJ, Daniyal L, Mannan S, Ng E, Thain E, Sanabria-Salas MC, Kim RH, Bril V, Reid AY. Epilepsy in neurofibromatosis type 1: Prevalence, phenotype, and genotype in adults. Epilepsy Res 2024; 202:107336. [PMID: 38471245 DOI: 10.1016/j.eplepsyres.2024.107336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024]
Abstract
PURPOSE Studies have shown an increased risk of epilepsy in patients with neurofibromatosis type 1 (NF1). However, most reports focus on the pediatric population. In this study, we describe the trajectory of patients with NF1 and epilepsy beyond childhood. METHODS Patients with NF1 ≥18 years-old consecutively seen at a multidisciplinary neurofibromatosis clinic during a four-year period were prospectively enrolled and offered routine EEG, MRI, and genetic testing. The lifelong and point prevalence of epilepsy in patients with NF1 were calculated. Demographic, genetic, radiological, and clinical features found to be statistically associated with having received a diagnosis of epilepsy were incorporated into a logistic regression model. RESULTS Among 113 patients with NF1 included in this study (median age at study inclusion: 33 years), the lifelong prevalence of epilepsy was 11% (CI95%=6-18%) and point prevalence 7% (CI95%= 3-13%). Most patients (73%) were diagnosed with epilepsy before the age of 18 and achieved seizure-freedom by adulthood. At study inclusion, three-quarters of patients with a diagnosis of epilepsy had been seizure-free for more than one year and a third had resolved epilepsy. A routine EEG with epileptiform discharges had a sensitivity of 25% (CI95%=3-65) and specificity of 99% (CI95%=93-100) for identifying adult patients with NF1 and unresolved epilepsy. A history of epilepsy was associated with having a low-grade glioma (OR: 38.2; CI95%=2.2-674.7; p<0.01), learning disability (OR: 5.7; CI95%=1.0-31.5; p<0.05), and no plexiform neurofibroma (OR: 0.05; CI95%=0.0-0.8; p=0.04). No single mutation type was associated with the development of epilepsy. CONCLUSIONS In patients with NF1, although resolution of epilepsy over time was observed in many cases, the prevalence of epilepsy was higher among adults with NF1 than that reported in the general population. Epileptogenesis in NF1 likely requires the combination of multiple genetic and environmental factors and suggests involvement of a network that spreads beyond the borders of a well-defined parenchymal lesion.
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Affiliation(s)
- Julien Hébert
- Division of Neurology, University of Toronto, Toronto, ON, Canada; Comprehensive Epilepsy Center, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Lubna Daniyal
- Elisabeth Raab Neurofibromatosis Clinic, University Health Network, Toronto, ON, Canada
| | - Shabber Mannan
- Elisabeth Raab Neurofibromatosis Clinic, University Health Network, Toronto, ON, Canada
| | - Eduardo Ng
- Elisabeth Raab Neurofibromatosis Clinic, University Health Network, Toronto, ON, Canada
| | - Emily Thain
- Bhalwani Familial Cancer Clinic, University Health Network, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | | | - Raymond H Kim
- Elisabeth Raab Neurofibromatosis Clinic, University Health Network, Toronto, ON, Canada; Bhalwani Familial Cancer Clinic, University Health Network, Toronto, ON, Canada; Department of Medicine, University of Toronto, Toronto, ON, Canada; Division of Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada; Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Vera Bril
- Division of Neurology, University of Toronto, Toronto, ON, Canada; Elisabeth Raab Neurofibromatosis Clinic, University Health Network, Toronto, ON, Canada
| | - Aylin Y Reid
- Division of Neurology, University of Toronto, Toronto, ON, Canada; Krembil Brain Institute, University Health Network, Toronto, ON, Canada.
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Fung FW, Parikh DS, Massey SL, Fitzgerald MP, Vala L, Donnelly M, Jacobwitz M, Kessler SK, Xiao R, Topjian AA, Abend NS. Periodic Discharges in Critically Ill Children: Predictors and Outcome. J Clin Neurophysiol 2024; 41:297-304. [PMID: 38079254 PMCID: PMC11073928 DOI: 10.1097/wnp.0000000000000986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 10/04/2022] [Indexed: 05/08/2024] Open
Abstract
OBJECTIVES We aimed to identify clinical and EEG monitoring characteristics associated with generalized, lateralized, and bilateral-independent periodic discharges (GPDs, LPDs, and BIPDs) and to determine which patterns were associated with outcomes in critically ill children. METHODS We performed a prospective observational study of consecutive critically ill children undergoing continuous EEG monitoring, including standardized scoring of GPDs, LPDs, and BIPDs. We identified variables associated with GPDs, LPDs, and BIPDs and assessed whether each pattern was associated with hospital discharge outcomes including the Glasgow Outcome Scale-Extended Pediatric version (GOS-E-Peds), Pediatric Cerebral Performance Category (PCPC), and mortality. RESULTS PDs occurred in 7% (91/1,399) of subjects. Multivariable logistic regression indicated that patients with coma (odds ratio [OR], 3.45; 95% confidence interval [CI]: 1.55, 7.68) and abnormal EEG background category (OR, 6.85; 95% CI: 3.37, 13.94) were at increased risk for GPDs. GPDs were associated with mortality (OR, 3.34; 95% CI: 1.24, 9.02) but not unfavorable GOS-E-Peds (OR, 1.93; 95% CI: 0.88, 4.23) or PCPC (OR, 1.64; 95% CI: 0.75, 3.58). Patients with acute nonstructural encephalopathy did not experience LPDs, and LPDs were not associated with mortality or unfavorable outcomes. BIPDs were associated with mortality (OR, 3.68; 95% CI: 1.14, 11.92), unfavorable GOS-E-Peds (OR, 5.00; 95% CI: 1.39, 18.00), and unfavorable PCPC (OR, 5.96; 95% CI: 1.65, 21.46). SIGNIFICANCE Patients with coma or more abnormal EEG background category had an increased risk for GPDs and BIPDs, and no patients with an acute nonstructural encephalopathy experienced LPDs. GPDs were associated with mortality and BIPDs were associated with mortality and unfavorable outcomes, but LPDs were not associated with unfavorable outcomes.
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Affiliation(s)
- France W Fung
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Darshana S Parikh
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Shavonne L Massey
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Mark P Fitzgerald
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Lisa Vala
- Department of Neurodiagnostics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Maureen Donnelly
- Department of Neurodiagnostics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Marin Jacobwitz
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Sudha K Kessler
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Rui Xiao
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Alexis A Topjian
- Department of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Nicholas S Abend
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
- Department of Neurodiagnostics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
- Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
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Yindeedej V, Uda T, Tanoue Y, Kojima Y, Kawashima T, Koh S, Uda H, Nishiyama T, Takagawa M, Shuto F, Goto T. A scoping review of seizure onset pattern in SEEG and a proposal for morphological classification. J Clin Neurosci 2024; 123:84-90. [PMID: 38554649 DOI: 10.1016/j.jocn.2024.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/27/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Seizure onset pattern (SOP) represents an alteration of electroencephalography (EEG) morphology at the beginning of seizure activity in epilepsy. With stereotactic electroencephalography (SEEG), a method for intracranial EEG evaluation, many morphological SOP classifications have been reported without established consensus. These inconsistent classifications with ambiguous terminology present difficulties to communication among epileptologists. METHODS We reviewed SOP in SEEG by searching the PubMed database. Reported morphological classifications and the ambiguous terminology used were collected. After thoroughly reviewing all reports, we reconsidered the definitions of these terms and explored a more consistent and simpler morphological SOP classification. RESULTS Of the 536 studies initially found, 14 studies were finally included after screening and excluding irrelevant studies. We reconsidered the definitions of EEG onset, period for determining type of SOP, core electrode and other terms in SEEG. We proposed a more consistent and simpler morphological SOP classification comprising five major types with two special subtypes. CONCLUSIONS A scoping review of SOP in SEEG was performed. Our classification may be suitable for describing SOP morphology.
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Affiliation(s)
- Vich Yindeedej
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan; Division of Neurosurgery, Department of Surgery, Thammasat University Hospital, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Takehiro Uda
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan.
| | - Yuta Tanoue
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Yuichiro Kojima
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Toshiyuki Kawashima
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Saya Koh
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Uda
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Taro Nishiyama
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Masanari Takagawa
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Futoshi Shuto
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
| | - Takeo Goto
- Department of Neurosurgery, Osaka Metropolitan University, Graduate School of Medicine, Osaka, Japan
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Robba C, Busl KM, Claassen J, Diringer MN, Helbok R, Park S, Rabinstein A, Treggiari M, Vergouwen MDI, Citerio G. Contemporary management of aneurysmal subarachnoid haemorrhage. An update for the intensivist. Intensive Care Med 2024; 50:646-664. [PMID: 38598130 PMCID: PMC11078858 DOI: 10.1007/s00134-024-07387-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024]
Abstract
Aneurysmal subarachnoid haemorrhage (aSAH) is a rare yet profoundly debilitating condition associated with high global case fatality and morbidity rates. The key determinants of functional outcome include early brain injury, rebleeding of the ruptured aneurysm and delayed cerebral ischaemia. The only effective way to reduce the risk of rebleeding is to secure the ruptured aneurysm quickly. Prompt diagnosis, transfer to specialized centers, and meticulous management in the intensive care unit (ICU) significantly improved the prognosis of aSAH. Recently, multimodality monitoring with specific interventions to correct pathophysiological imbalances has been proposed. Vigilance extends beyond intracranial concerns to encompass systemic respiratory and haemodynamic monitoring, as derangements in these systems can precipitate secondary brain damage. Challenges persist in treating aSAH patients, exacerbated by a paucity of robust clinical evidence, with many interventions showing no benefit when tested in rigorous clinical trials. Given the growing body of literature in this field and the issuance of contemporary guidelines, our objective is to furnish an updated review of essential principles of ICU management for this patient population. Our review will discuss the epidemiology, initial stabilization, treatment strategies, long-term prognostic factors, the identification and management of post-aSAH complications. We aim to offer practical clinical guidance to intensivists, grounded in current evidence and expert clinical experience, while adhering to a concise format.
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Affiliation(s)
- Chiara Robba
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.
- IRCCS Policlinico San Martino, Genoa, Italy.
| | - Katharina M Busl
- Departments of Neurology and Neurosurgery, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jan Claassen
- Department of Neurology, New York Presbyterian Hospital, Columbia University, New York, NY, USA
| | - Michael N Diringer
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Raimund Helbok
- Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria
- Clinical Research Institute for Neuroscience, Johannes Kepler University Linz, Linz, Austria
| | - Soojin Park
- Department of Neurology, New York Presbyterian Hospital, Columbia University, New York, NY, USA
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | | | - Miriam Treggiari
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Mervyn D I Vergouwen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Giuseppe Citerio
- Department of Medicine and Surgery, Milano Bicocca University, Milan, Italy
- NeuroIntensive Care Unit, Neuroscience Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
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34
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Fung FW, Parikh DS, Donnelly M, Jacobwitz M, Topjian AA, Xiao R, Abend NS. EEG Monitoring in Critically Ill Children: Establishing High-Yield Subgroups. J Clin Neurophysiol 2024; 41:305-311. [PMID: 36893385 PMCID: PMC10492893 DOI: 10.1097/wnp.0000000000000995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023] Open
Abstract
PURPOSE Continuous EEG monitoring (CEEG) is increasingly used to identify electrographic seizures (ES) in critically ill children, but it is resource intense. We aimed to assess how patient stratification by known ES risk factors would impact CEEG utilization. METHODS This was a prospective observational study of critically ill children with encephalopathy who underwent CEEG. We calculated the average CEEG duration required to identify a patient with ES for the full cohort and subgroups stratified by known ES risk factors. RESULTS ES occurred in 345 of 1,399 patients (25%). For the full cohort, an average of 90 hours of CEEG would be required to identify 90% of patients with ES. If subgroups of patients were stratified by age, clinically evident seizures before CEEG initiation, and early EEG risk factors, then 20 to 1,046 hours of CEEG would be required to identify a patient with ES. Patients with clinically evident seizures before CEEG initiation and EEG risk factors present in the initial hour of CEEG required only 20 (<1 year) or 22 (≥1 year) hours of CEEG to identify a patient with ES. Conversely, patients with no clinically evident seizures before CEEG initiation and no EEG risk factors in the initial hour of CEEG required 405 (<1 year) or 1,046 (≥1 year) hours of CEEG to identify a patient with ES. Patients with clinically evident seizures before CEEG initiation or EEG risk factors in the initial hour of CEEG required 29 to 120 hours of CEEG to identify a patient with ES. CONCLUSIONS Stratifying patients by clinical and EEG risk factors could identify high- and low-yield subgroups for CEEG by considering ES incidence, the duration of CEEG required to identify ES, and subgroup size. This approach may be critical for optimizing CEEG resource allocation.
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Affiliation(s)
- France W Fung
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, U.S.A
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, U.S.A
| | - Darshana S Parikh
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, U.S.A
| | - Maureen Donnelly
- Department of Neurodiagnostics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, U.S.A
| | - Marin Jacobwitz
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, U.S.A
| | - Alexis A Topjian
- Department of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphi||a, Pennsylvania, U.S.A
- Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, U.S.A.; and
| | - Rui Xiao
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, U.S.A
| | - Nicholas S Abend
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, U.S.A
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, U.S.A
- Department of Neurodiagnostics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, U.S.A
- Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, U.S.A.; and
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, U.S.A
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35
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Crespo Pimentel B, Kuchukhidze G, Heyduk M, Thomschewski A, Trinka E, Höfler J. Ictal Cotard delusion as a manifestation of nonconvulsive status epilepticus: A case report and commentary. Epileptic Disord 2024. [PMID: 38686977 DOI: 10.1002/epd2.20221] [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: 12/22/2023] [Revised: 03/04/2024] [Accepted: 03/16/2024] [Indexed: 05/02/2024]
Abstract
Psychosis of epileptic origin can present a wide range of cognitive and affective symptoms and is often underrecognized. Usually occurring in the inter- and postictal phase, epileptic psychosis is mostly related to temporal lobe epilepsy. Here, we describe the clinical presentation and diagnostic workup including routine EEG recording and brain MRI of a 63-year-old woman expressing isolated nihilistic delusions comprising belief of being dead and denial of self-existence. EEG showed an ictal pattern fulfilling the Salzburg criteria of nonconvulsive status epilepticus and brain MRI revealed extensive peri-ictal hyperperfusion. Delusional symptoms and EEG abnormalities subsided after acute antiseizure treatment. Our case illustrates how nihilistic delusions can occur as a direct clinical correlate of seizure activity, thereby expanding the spectrum of ictal neuropsychiatric phenomena in temporal lobe epilepsy and highlighting the need to consider an epileptic origin in patients presenting with psychotic symptoms.
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Affiliation(s)
- Bernardo Crespo Pimentel
- Department of Neurology, Neurointensive Care and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Salzburg, Austria
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Chalfont St. Peter, UK
- Neuroscience Institute, Christian-Doppler University Hospital, Centre for Cognitive Neuroscience Salzburg, Austria
| | - Giorgi Kuchukhidze
- Department of Neurology, Neurointensive Care and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian-Doppler University Hospital, Centre for Cognitive Neuroscience Salzburg, Austria
| | - Marta Heyduk
- University Institute of Radiology, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Aljoscha Thomschewski
- Department of Neurology, Neurointensive Care and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian-Doppler University Hospital, Centre for Cognitive Neuroscience Salzburg, Austria
| | - Eugen Trinka
- Department of Neurology, Neurointensive Care and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian-Doppler University Hospital, Centre for Cognitive Neuroscience Salzburg, Austria
- Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University of Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria
- Karl Landsteiner Institute for Neurorehabilitation and Space Neurology, Salzburg, Austria
| | - Julia Höfler
- Department of Neurology, Neurointensive Care and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Neuroscience Salzburg, Member of the European Reference Network, EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian-Doppler University Hospital, Centre for Cognitive Neuroscience Salzburg, Austria
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Kincaid KJ, Maciel CB. A Spectrum, Not a Dichotomy for Seizure Foretelling-Learning to Identify Ominous Patterns and Understand the Pediatric Ictal-Interictal Continuum. Neurocrit Care 2024:10.1007/s12028-024-01991-7. [PMID: 38671314 DOI: 10.1007/s12028-024-01991-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Affiliation(s)
- Keith J Kincaid
- Departments of Neurology and Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Carolina B Maciel
- Departments of Neurology and Neurosurgery, University of Florida College of Medicine, Gainesville, FL, USA.
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA.
- Department of Neurology, University of Utah, Salt Lake City, UT, USA.
- Division of Neurocritical Care, McKnight Brain Institute, 1149 Newell Dr/ L3-100, Gainesville, FL, 32610, USA.
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37
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Fung FW, Parikh DS, Walsh K, Fitzgerald MP, Massey SL, Topjian AA, Abend NS. Late-Onset Findings During Extended EEG Monitoring Are Rare in Critically Ill Children. J Clin Neurophysiol 2024:00004691-990000000-00131. [PMID: 38687298 DOI: 10.1097/wnp.0000000000001083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024] Open
Abstract
PURPOSE Electrographic seizures (ES) are common in critically ill children undergoing continuous EEG (CEEG) monitoring, and previous studies have aimed to target limited CEEG resources to children at highest risk of ES. However, previous studies have relied on observational data in which the duration of CEEG was clinically determined. Thus, the incidence of late occurring ES is unknown. The authors aimed to assess the incidence of ES for 24 hours after discontinuation of clinically indicated CEEG. METHODS This was a single-center prospective study of nonconsecutive children with acute encephalopathy in the pediatric intensive care unit who underwent 24 hours of extended research EEG after the end of clinical CEEG. The authors assessed whether there were new findings that affected clinical management during the extended research EEG, including new-onset ES. RESULTS Sixty-three subjects underwent extended research EEG. The median duration of the extended research EEG was 24.3 hours (interquartile range 24.0-25.3). Three subjects (5%) had an EEG change during the extended research EEG that resulted in a change in clinical management, including an increase in ES frequency, differential diagnosis of an event, and new interictal epileptiform discharges. No subjects had new-onset ES during the extended research EEG. CONCLUSIONS No subjects experienced new-onset ES during the 24-hour extended research EEG period. This finding supports observational data that patients with late-onset ES are rare and suggests that ES prediction models derived from observational data are likely not substantially underrepresenting the incidence of late-onset ES after discontinuation of clinically indicated CEEG.
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Affiliation(s)
- France W Fung
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, PA
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Darshana S Parikh
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Kathleen Walsh
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Mark P Fitzgerald
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, PA
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Shavonne L Massey
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, PA
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Alexis A Topjian
- Department of Anesthesia and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; and
- Department of Anesthesia & Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Nicholas S Abend
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, Philadelphia, PA
- Departments of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Anesthesia & Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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Sansevere AJ, Keenan JS, Pickup E, Conley C, Staso K, Harrar DB. Ictal-Interictal Continuum in the Pediatric Intensive Care Unit. Neurocrit Care 2024:10.1007/s12028-024-01978-4. [PMID: 38671312 DOI: 10.1007/s12028-024-01978-4] [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: 07/28/2023] [Accepted: 03/08/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND The ictal-interictal continuum (IIC) consists of several electroencephalogram (EEG) patterns that are common in critically ill adults. Studies focused on the IIC are limited in critically ill children and have focused primarily on associations with electrographic seizures (ESs). We report the incidence of the IIC in the pediatric intensive care unit (PICU). We then compare IIC patterns to rhythmic and periodic patterns (RPP) not meeting IIC criteria looking for associations with acute cerebral abnormalities, ES, and in-hospital mortality. METHODS This was a retrospective review of prospectively collected data for patients admitted to the PICU at Children's National Hospital from July 2021 to January 2023 with continuous EEG. We excluded patients with known epilepsy and cerebral injury prior to presentation. All patients were screened for RPP. The American Clinical Neurophysiology Society standardized Critical Care EEG terminology for the IIC was applied to each RPP. Associations between IIC and RPP not meeting IIC criteria, with clinical and EEG variables, were calculated using odds ratios (ORs). RESULTS Of 201 patients, 21% (42/201) had RPP and 12% (24/201) met IIC criteria. Among patients with an IIC pattern, the median age was 3.4 years (interquartile range (IQR) 0.6-12 years). Sixty-seven percent (16/24) of patients met a single IIC criterion, whereas the remainder met two criteria. ESs were identified in 83% (20/24) of patients and cerebral injury was identified in 96% (23/24) of patients with IIC patterns. When comparing patients with IIC patterns with those with RPP not qualifying as an IIC pattern, both patterns were associated with acute cerebral abnormalities (IIC OR 26 [95% confidence interval {CI} 3.4-197], p = 0.0016 vs. RPP OR 3.5 [95% CI 1.1-11], p = 0.03), however, only the IIC was associated with ES (OR 121 [95% CI 33-451], p < 0.0001) versus RPP (OR 1.3 [0.4-5], p = 0.7). CONCLUSIONS Rhythmic and periodic patterns and subsequently the IIC are commonly seen in the PICU and carry a high association with cerebral injury. Additionally, the IIC, seen in more than 10% of critically ill children, is associated with ES. The independent impact of RPP and IIC patterns on secondary brain injury and need for treatment of these patterns independent of ES requires further study.
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Affiliation(s)
- Arnold J Sansevere
- Department of Neurology/Division of Epilepsy and Clinical Neurophysiology, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA.
| | - Julia S Keenan
- Department of Neurology/Division of Epilepsy and Clinical Neurophysiology, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
| | - Elizabeth Pickup
- Department of Neurology/Division of Epilepsy and Clinical Neurophysiology, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
| | - Caroline Conley
- Department of Neurology/Division of Epilepsy and Clinical Neurophysiology, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
- Department of Critical Care Medicine, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
| | - Katelyn Staso
- Department of Neurology/Division of Epilepsy and Clinical Neurophysiology, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
- Department of Critical Care Medicine, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
| | - Dana B Harrar
- Department of Neurology/Division of Epilepsy and Clinical Neurophysiology, Children's National Hospital, 111 Michigan Ave NW, Washington, DC, 20010, USA
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Tanemoto M, Suzuki S, Yokokawa K, Saito T, Iwahara N, Tsuda R, Watanabe O, Takahashi Y, Yoneda M, Hisahara S. [Clinical characteristics of seizure-predominant autoimmune encephalitis and utility of anti-neuronal antibody scores for early treatment]. Rinsho Shinkeigaku 2024; 64:272-279. [PMID: 38508734 DOI: 10.5692/clinicalneurol.cn-001911] [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: 03/22/2024]
Abstract
We analyzed 20 patients diagnosed with autoimmune neurological diseases with seizure predominance. In these patients, we examined the usefulness of Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score and Antibodies Contributing to Focal Epilepsy Signs and Symptoms (ACES) score in autoimmune encephalitis (AE) for facilitating early treatment. APE2 score was positive in 19 of 20 patients. ACES score was positive in 15 of 20 patients, and 4 of 5 of the patients with negative ACES score did not have AE. Comprehensive assessment including the use of the above scores is desirable in the early stage of AE.
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Affiliation(s)
- Masanobu Tanemoto
- Department of Neurology, Sapporo Medical University, School of Medicine
| | | | - Kazuki Yokokawa
- Department of Neurology, Sapporo Medical University, School of Medicine
| | - Taro Saito
- Department of Neurology, Sapporo Medical University, School of Medicine
| | - Naotoshi Iwahara
- Department of Neurology, Sapporo Medical University, School of Medicine
| | - Reiko Tsuda
- Department of Neurology, Sapporo Medical University, School of Medicine
| | | | - Yukitoshi Takahashi
- Department of Clinical Research, NHO, National Epilepsy Center, Shizuoka Institute of Epilepsy and Neurological Disorders
| | - Makoto Yoneda
- Faculty of Nursing and Social Welfare Sciences, Fukui Prefectural University
| | - Shin Hisahara
- Department of Neurology, Sapporo Medical University, School of Medicine
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40
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Bögli SY, Cherchi MS, Beqiri E, Smielewski P. Association between EEG metrics and continuous cerebrovascular autoregulation assessment: a scoping review. Br J Anaesth 2024:S0007-0912(24)00152-1. [PMID: 38644159 DOI: 10.1016/j.bja.2024.03.021] [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: 01/25/2024] [Revised: 03/11/2024] [Accepted: 03/25/2024] [Indexed: 04/23/2024] Open
Abstract
OBJECTIVE Cerebrovascular autoregulation is defined as the capacity of cerebral blood vessels to maintain stable cerebral blood flow despite changing blood pressure. It is assessed using the pressure reactivity index (the correlation coefficient between mean arterial blood pressure and intracranial pressure). The objective of this scoping review is to describe the existing evidence concerning the association of EEG and cerebrovascular autoregulation in order to identify key concepts and detect gaps in the current knowledge. METHODS Embase, MEDLINE, SCOPUS, and Web of Science were searched considering articles between their inception up to September 2023. Inclusion criteria were human (paediatric and adult) and animal studies describing correlations between continuous EEG and cerebrovascular autoregulation assessments. RESULTS Ten studies describing 481 human subjects (67% adult, 59% critically ill) were identified. Seven studies assessed qualitative (e.g. seizures, epileptiform potentials) and five evaluated quantitative (e.g. bispectral index, alpha-delta ratio) EEG metrics. Cerebrovascular autoregulation was evaluated based on intracranial pressure, transcranial Doppler, or near infrared spectroscopy. Specific combinations of cerebrovascular autoregulation and EEG metrics were evaluated by a maximum of two studies. Seizures, highly malignant patterns or burst suppression, alpha peak frequency, and bispectral index were associated with cerebrovascular autoregulation. The other metrics showed either no or inconsistent associations. CONCLUSION There is a paucity of studies evaluating the link between EEG and cerebrovascular autoregulation. The studies identified included a variety of EEG and cerebrovascular autoregulation acquisition methods, age groups, and diseases allowing for few overarching conclusions. However, the preliminary evidence for the presence of an association between EEG metrics and cerebrovascular autoregulation prompts further in-depth investigations.
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Affiliation(s)
- Stefan Y Bögli
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; Department of Critical Care, Marqués de Valdecilla University Hospital, and Biomedical Research Institute (IDIVAL), Santander, Cantabria, Spain.
| | - Marina S Cherchi
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; Department of Critical Care, Marqués de Valdecilla University Hospital, and Biomedical Research Institute (IDIVAL), Santander, Cantabria, Spain
| | - Erta Beqiri
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Gélisse P, Tatum WO, Crespel A, Kaplan PW. Stimulus-induced arousal with transient electroencephalographic improvement distinguishes nonictal from ictal generalized periodic discharges. Epilepsia 2024. [PMID: 38624097 DOI: 10.1111/epi.17987] [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: 11/21/2023] [Revised: 04/03/2024] [Accepted: 04/03/2024] [Indexed: 04/17/2024]
Abstract
In the case of suspicion of nonconvulsive status epilepticus (NCSE), reactivity on electroencephalograms (EEGs) can provide valuable diagnostic information. Reactivity refers to responses to auditory or somatosensory stimulation, with changes in amplitude and frequency of background activity. Because of self-perpetuating processes and the failure of self-terminating mechanisms, status epilepticus is unlikely to cease when patients spontaneously move, and it cannot typically be stopped by external stimulation (i.e., auditory and tactile stimuli). The defining EEG characteristic of absence status epilepticus is the presence of bilateral, synchronous, symmetric, rhythmic paroxysmal activity that shows little or no reactivity to sensory stimulation. On the other hand, in metabolic/toxic or multifactorial encephalopathies, triphasic waves (TWs) are influenced by the level of vigilance. TWs may be transiently abolished when patients increase their level of alertness from a drowsy/lethargic state to a state of wakefulness. This reactivity is only observed when patients can be aroused by a somatosensory or auditory stimulus. This reactivity tends to disappear with increasing severity of the disease and in comatose patients. In patients without preexisting developmental and epileptic encephalopathy, this pattern of stimulus-induced wakefulness with transient improvement of the EEG is a major criterion in determining that the EEG patterns are not ictal. This criterion of reactivity on EEGs, beyond the classical clinical/EEG criteria of NCSE (Salzburg criteria), should now be systematically added.
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Affiliation(s)
- Philippe Gélisse
- Epilepsy Unit, Hôpital Gui de Chauliac, Montpellier, France
- Unité de Recherche sur les Comportements et Mouvements Anormaux, Institut National de la Santé Et de la Recherche Médicale, Montpellier, France
| | - William O Tatum
- Department of Neurology, Mayo Clinic College of Medicine and Health Sciences, Jacksonville, Florida, USA
| | - Arielle Crespel
- Epilepsy Unit, Hôpital Gui de Chauliac, Montpellier, France
- Unité de Recherche sur les Comportements et Mouvements Anormaux, Institut National de la Santé Et de la Recherche Médicale, Montpellier, France
| | - Peter W Kaplan
- Department of Neurology, Johns Hopkins Bayview Medical Center, Baltimore, Maryland, USA
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Merli E, Romoli M, Galluzzo S, Bevacqua L, Cece ES, Ricci G, Testoni S, Zaniboni A, Viola MM, Simonetti L, Bisulli F, Contardi S, Tinuper P, Zini A. Pragmatic computerised perfusion diagnostics for non-convulsive status epilepticus: a prospective observational study. J Neurol Neurosurg Psychiatry 2024; 95:471-476. [PMID: 38041670 DOI: 10.1136/jnnp-2023-332152] [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: 07/04/2023] [Accepted: 11/01/2023] [Indexed: 12/03/2023]
Abstract
BACKGROUND Non-convulsive status epilepticus (NCSE) is a time-dependent neurological disorder often misdiagnosed in the emergency setting. Electroencephalography (EEG) is often not available on a 24/7 basis, and Salzburg criteria may at times miss the diagnosis. Here, we tested the accuracy of hyperperfusion on CT perfusion imaging (CTP) in the identification of NCSE against Salzburg criteria, to define its potential role in a pragmatic diagnostic workflow. METHODS We enrolled consecutive patients with suspected acute seizure or seizure disorder undergoing brain imaging with CTP and EEG from January 2021 to March 2023. EEG recordings, Salzburg criteria and CTP hyperperfusion were rated and adjudicated by two independent experts blinded to patient status. A reference standard including all clinical, lab, imaging, EEG and therapeutic data was used to adjudicate NCSE diagnosis. Sensitivity, specificity, diagnostic accuracy, positive and negative predictive values (NPV) were calculated for CTP hyperperfusion and Salzburg criteria versus NCSE adjudicated according to reference standard. RESULTS Seventy-seven patients were enrolled. Among 21 NCSE cases, 17 were adjudicated according to Salzburg criteria (81%) and 4 received NCSE diagnosis according to reference standard. Agreement between EEG and CTP emerged in 16/21 NCSE cases, reaching sublobar level in 37.5% of cases. Receiver operator curve analysis suggested good accuracy for CTP hyperperfusion for the diagnosis of NCSE (AUROC 0.79, 95% CI 0.69 to 0.89). CTP hyperperfusion had a high NPV for NCSE (NPV 0.97, 95% CI 0.86 to 1). CONCLUSION CTP hyperperfusion may be implemented in the emergency fast-track to rule out NCSE, given very high NPV. Further validation studies are needed to evaluate CTP application in real-world setting for NCSE codes.
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Affiliation(s)
- Elena Merli
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Michele Romoli
- Neurology and Stroke Unit, Maurizio Bufalini Hospital, Cesena, Italy
| | - Simone Galluzzo
- IRCSS Istituto delle Scienze Neurologiche di Bologna, Neuroradiologia, Ospedale Maggiore, Bologna, Italy
| | - Lorenzo Bevacqua
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Emanuele Saverio Cece
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Gabriele Ricci
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Stefania Testoni
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Anna Zaniboni
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Maria Maddalena Viola
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Luigi Simonetti
- IRCSS Istituto delle Scienze Neurologiche di Bologna, Neuroradiologia, Ospedale Maggiore, Bologna, Italy
| | - Francesca Bisulli
- IRCSS Istituto delle Scienze Neurologiche di Bologna, Department of Neurological Sciences, University of Bologna, Bologna, Italy
- Dipartimento di Scienze Biomediche e Neuromotorie, University of Bologna, Bologna, Italy
| | - Sara Contardi
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Paolo Tinuper
- IRCSS Istituto delle Scienze Neurologiche di Bologna, Department of Neurological Sciences, University of Bologna, Bologna, Italy
- Dipartimento di Scienze Biomediche e Neuromotorie, University of Bologna, Bologna, Italy
| | - Andrea Zini
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
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Ryu HU, Kim HJ, Shin BS, Kang HG. Clinical approaches for poststroke seizure: a review. Front Neurol 2024; 15:1337960. [PMID: 38660095 PMCID: PMC11039895 DOI: 10.3389/fneur.2024.1337960] [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: 11/13/2023] [Accepted: 03/26/2024] [Indexed: 04/26/2024] Open
Abstract
Poststroke seizure is a potential complication of stroke, which is the most frequent acute symptomatic seizure in adults. Patients with stroke may present with an abnormal or aggressive behavior accompanied by altered mental status and symptoms, such as hemiparesis, dysarthria, and sensory deficits. Although stroke manifestations that mimic seizures are rare, diagnosing poststroke seizures can be challenging when accompanied with negative postictal symptoms. Differential diagnoses of poststroke seizures include movement disorders, syncope, and functional (nonepileptic) seizures, which may present with symptoms similar to seizures. Furthermore, it is important to determine whether poststroke seizures occur early or late. Seizures occurring within and after 7 d of stroke onset were classified as early and late seizures, respectively. Early seizures have the same clinical course as acute symptomatic seizures; they rarely recur or require long-term antiseizure medication. Conversely, late seizures are associated with a risk of recurrence similar to that of unprovoked seizures in a patient with a focal lesion, thereby requiring long-term administration of antiseizure medication. After diagnosis, concerns regarding treatment strategies, treatment duration, and administration of primary and secondary prophylaxis often arise. Antiseizure medication decisions for the initiation of short-term primary and long-term secondary seizure prophylaxis should be considered for patients with stroke. Antiseizure drugs such as lamotrigine, carbamazepine, lacosamide, levetiracetam, phenytoin, and valproate may be administered. Poststroke seizures should be diagnosed systematically through history with differential diagnosis; in addition, classifying them as early or late seizures can help to determine treatment strategies.
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Affiliation(s)
- Han Uk Ryu
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University – Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Hong Jin Kim
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University – Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Byoung-Soo Shin
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University – Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Hyun Goo Kang
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University – Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
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Bencsik C, Josephson C, Soo A, Ainsworth C, Savard M, van Diepen S, Kramer A, Kromm J. The Evolving Role of Electroencephalography in Postarrest Care. Can J Neurol Sci 2024:1-13. [PMID: 38572611 DOI: 10.1017/cjn.2024.55] [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: 04/05/2024]
Abstract
Electroencephalography is an accessible, portable, noninvasive and safe means of evaluating a patient's brain activity. It can aid in diagnosis and management decisions for post-cardiac arrest patients with seizures, myoclonus and other non-epileptic movements. It also plays an important role in a multimodal approach to neuroprognostication predicting both poor and favorable outcomes. Individuals ordering, performing and interpreting these tests, regardless of the indication, should understand the supporting evidence, logistical considerations, limitations and impact the results may have on postarrest patients and their families as outlined herein.
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Affiliation(s)
- Caralyn Bencsik
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | - Colin Josephson
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrea Soo
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | - Craig Ainsworth
- Division of Cardiology, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Martin Savard
- Département de Médecine, Université Laval, Quebec City, QC, Canada
| | - Sean van Diepen
- Department of Critical Care Medicine, University of Alberta, Edmonton, AB, Canada
- Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Andreas Kramer
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Julie Kromm
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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Punia V, Daruvala S, Dhakar MB, Zafar SF, Rubinos C, Ayub N, Hirsch LJ, Sivaraju A. Immediate and long-term management practices of acute symptomatic seizures and epileptiform abnormalities: A cross-sectional international survey. Epilepsia 2024; 65:909-919. [PMID: 38358383 DOI: 10.1111/epi.17915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/16/2024]
Abstract
OBJECTIVES Acute symptomatic seizures (ASyS) and epileptiform abnormalities (EAs) on electroencephalography (EEG) are commonly encountered following acute brain injury. Their immediate and long-term management remains poorly investigated. We conducted an international survey to understand their current management. METHODS The cross-sectional web-based survey of 21 fixed-response questions was based on a common clinical encounter: convulsive or suspected ASyS following an acute brain injury. Respondents selected the option that best matched their real-world practice. Respondents completing the survey were compared with those who accessed but did not complete it. RESULTS A total of 783 individuals (44 countries) accessed the survey; 502 completed it. Almost everyone used anti-seizure medications (ASMs) for secondary prophylaxis after convulsive or electrographic ASyS (95.4% and 97.2%, respectively). ASM dose escalation after convulsive ASyS depends on continuous EEG (cEEG) findings: most often increased after electrographic seizures (78% of respondents), followed by lateralized periodic discharges (LPDs; 41%) and sporadic epileptiform discharges (sEDs; 17.5%). If cEEG is unrevealing, one in five respondents discontinue ASMs after a week. In the absence of convulsive and electrographic ASyS, a large proportion of respondents start ASMs due to LPD (66.7%) and sED (44%) on cEEG. At hospital discharge, most respondents (85%) continue ASM without dose change. The recommended duration of outpatient ASM use is as follows: 1-3 months (36%), 3-6 months (30%), 6-12 months (13%), >12 months (11%). Nearly one-third of respondents utilized ancillary testing before outpatient ASM taper, most commonly (79%) a <2 h EEG. Approximately half of respondents had driving restrictions recommended for 6 months after discharge. SIGNIFICANCE ASM use for secondary prophylaxis after convulsive and electrographic ASyS is a universal practice and is continued upon discharge. Outpatient care, particularly the ASM duration, varies significantly. Wide practice heterogeneity in managing acute EAs reflects uncertainty about their significance and management. These results highlight the need for a structured outpatient follow-up and optimized care pathway for patients with ASyS.
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Affiliation(s)
- Vineet Punia
- Epilepsy Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Sanaya Daruvala
- Department of Neurology, Warren Alpert School of Medicine, Providence, Rhode Island, USA
| | - Monica B Dhakar
- Department of Neurology, Warren Alpert School of Medicine, Providence, Rhode Island, USA
| | - Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Clio Rubinos
- University of North Carolina, Chapel Hill, North Carolina, USA
| | - Neishay Ayub
- Department of Neurology, Warren Alpert School of Medicine, Providence, Rhode Island, USA
| | - Lawrence J Hirsch
- Comprehensive Epilepsy Center, Department of Neurology, Yale University, New Haven, Connecticut, USA
| | - Adithya Sivaraju
- Comprehensive Epilepsy Center, Department of Neurology, Yale University, New Haven, Connecticut, USA
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León-Ruiz M, Benito-León J, Castañeda-Cabrero C. Triphasic waves in COVID-19 patients: Going further. Seizure 2024; 117:75-76. [PMID: 38342043 DOI: 10.1016/j.seizure.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 02/13/2024] Open
Affiliation(s)
- Moisés León-Ruiz
- Section of Clinical Neurophysiology, Department of Neurology, La Paz University Hospital, Paseo de la Castellana, 261, Madrid 28046, Spain.
| | - Julián Benito-León
- Department of Neurology, 12 de Octubre University Hospital, Madrid, Spain; Research Institute (i+12), 12 de Octubre University Hospital, Madrid, Spain; Department of Medicine, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Carlos Castañeda-Cabrero
- Section of Clinical Neurophysiology, Department of Neurology, La Paz University Hospital, Paseo de la Castellana, 261, Madrid 28046, Spain
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Arctaedius I, Levin H, Larsson M, Friberg H, Cronberg T, Nielsen N, Moseby-Knappe M, Lybeck A. 2021 European Resuscitation Council/European Society of Intensive Care Medicine Algorithm for Prognostication of Poor Neurological Outcome After Cardiac Arrest-Can Entry Criteria Be Broadened? Crit Care Med 2024; 52:531-541. [PMID: 38059722 DOI: 10.1097/ccm.0000000000006113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
OBJECTIVES To explore broadened entry criteria of the 2021 European Resuscitation Council/European Society of Intensive Care Medicine (ERC/ESICM) algorithm for neuroprognostication including patients with ongoing sedation and Glasgow Coma Scale-Motor score (GCS-M) scores 4-5. DESIGN Retrospective multicenter observational study. SETTING Four ICUs, Skane, Sweden. PATIENTS Postcardiac arrest patients managed at targeted temperature 36°C, 2014-2018. Neurologic outcome was assessed after 2-6 months according to the Cerebral Performance Category scale. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS In 794 included patients, median age was 69.5 years (interquartile range, 60.6-77.0 yr), 241 (30.4%) were female, 550 (69.3%) had an out-of-hospital cardiac arrest, and 314 (41.3%) had a shockable rhythm. Four hundred ninety-five patients were dead at follow-up, 330 of 495 died after a decision on withdrawal of life-sustaining therapies. At 72 hours after cardiac arrest 218 patients remained unconscious. The entry criteria of the original algorithm (GCS-M 1-3) was fulfilled by 163 patients and 115 patients with poor outcome were identified, with false positive rate (FPR) of 0% (95% CI, 0-79.4%) and sensitivity of 71.0% (95% CI, 63.6-77.4%). Inclusion of patients with ongoing sedation identified another 13 patients with poor outcome, generating FPR of 0% (95% CI, 0-65.8%) and sensitivity of 69.6% (95% CI, 62.6-75.8%). Inclusion of all unconscious patients (GCS-M 1-5), regardless of sedation, identified one additional patient, generating FPR of 0% (95% CI, 0-22.8) and sensitivity of 62.9% (95% CI, 56.1-69.2). The few patients with true negative prediction (patients with good outcome not fulfilling guideline criteria of a poor outcome) generated wide 95% CI for FPR. CONCLUSION The 2021 ERC/ESICM algorithm for neuroprognostication predicted poor neurologic outcome with a FPR of 0%. Broadening inclusion criteria to include all unconscious patients regardless of ongoing sedation identified an additional small number of patients with poor outcome but did not affect the FPR. Results are limited by high rate of withdrawal of life-sustaining therapies and few patients with true negative prediction.
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Affiliation(s)
- Isabelle Arctaedius
- Anesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Helena Levin
- Anaesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University and Department of Research & Education, Skane University Hospital, Lund, Sweden
| | - Melker Larsson
- Anesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Hans Friberg
- Anesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Malmö, Sweden
| | - Tobias Cronberg
- Neurology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Niklas Nielsen
- Anesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University, Helsingborg Hospital, Helsingborg, Sweden
| | - Marion Moseby-Knappe
- Neurology and Rehabilitation Medicine, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Anna Lybeck
- Anesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
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Appavu B, Riviello JJ. Multimodal neuromonitoring in the pediatric intensive care unit. Semin Pediatr Neurol 2024; 49:101117. [PMID: 38677796 DOI: 10.1016/j.spen.2024.101117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/23/2024] [Accepted: 01/28/2024] [Indexed: 04/29/2024]
Abstract
Neuromonitoring is used to assess the central nervous system in the intensive care unit. The purpose of neuromonitoring is to detect neurologic deterioration and intervene to prevent irreversible nervous system dysfunction. Neuromonitoring starts with the standard neurologic examination, which may lag behind the pathophysiologic changes. Additional modalities including continuous electroencephalography (CEEG), multiple physiologic parameters, and structural neuroimaging may detect changes earlier. Multimodal neuromonitoring now refers to an integrated combination and display of non-invasive and invasive modalities, permitting tailored treatment for the individual patient. This chapter reviews the non-invasive and invasive modalities used in pediatric neurocritical care.
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Affiliation(s)
- Brian Appavu
- Clinical Assistant Professor of Child Health and Neurology, University of Arizona School of Medicine-Phoenix, Barrow Neurological Institute at Phoenix Children's, 1919 E. Thomas Road, Ambulatory Building B, 3rd Floor, Phoenix, AZ 85016, United States.
| | - James J Riviello
- Associate Division Chief for Epilepsy, Neurophysiology, and Neurocritical Care, Division of Pediatric Neurology and Developmental Neuroscience, Department of Pediatrics, Professor of Pediatrics and Neurology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX 77030, United States
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Coleman K, Fung FW, Topjian A, Abend NS, Xiao R. Optimizing EEG monitoring in critically ill children at risk for electroencephalographic seizures. Seizure 2024; 117:244-252. [PMID: 38522169 DOI: 10.1016/j.seizure.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/06/2024] [Accepted: 03/19/2024] [Indexed: 03/26/2024] Open
Abstract
OBJECTIVE Strategies are needed to optimally deploy continuous EEG monitoring (CEEG) for electroencephalographic seizure (ES) identification and management due to resource limitations. We aimed to construct an efficient multi-stage prediction model guiding CEEG utilization to identify ES in critically ill children using clinical and EEG covariates. METHODS The largest prospective single-center cohort of 1399 consecutive children undergoing CEEG was analyzed. A four-stage model was developed and trained to predict whether a subject required additional CEEG at the conclusion of each stage given their risk of ES. Logistic regression, elastic net, random forest, and CatBoost served as candidate methods for each stage and were evaluated using cross validation. An optimal multi-stage model consisting of the top-performing stage-specific models was constructed. RESULTS When evaluated on a test set, the optimal multi-stage model achieved a cumulative specificity of 0.197 and cumulative F1 score of 0.326 while maintaining a high minimum cumulative sensitivity of 0.938. Overall, 11 % of test subjects with ES were removed from the model due to a predicted low risk of ES (falsely negative subjects). CEEG utilization would be reduced by 32 % and 47 % compared to performing 24 and 48 h of CEEG in all test subjects, respectively. We developed a web application called EEGLE (EEG Length Estimator) that enables straightforward implementation of the model. CONCLUSIONS Application of the optimal multi-stage ES prediction model could either reduce CEEG utilization for patients at lower risk of ES or promote CEEG resource reallocation to patients at higher risk for ES.
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Affiliation(s)
- Kyle Coleman
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, United States
| | - France W Fung
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, United States; Department of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, United States
| | - Alexis Topjian
- Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, United States
| | - Nicholas S Abend
- Department of Pediatrics (Division of Neurology), Children's Hospital of Philadelphia, United States; Department of Neurology and Pediatrics, University of Pennsylvania Perelman School of Medicine, United States; Department of Anesthesia and Critical Care, University of Pennsylvania Perelman School of Medicine, United States; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, United States
| | - Rui Xiao
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, United States; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, United States.
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Peluso L, Stropeni S, Macchini E, Peratoner C, Ferlini L, Legros B, Minini A, Bogossian EG, Garone A, Creteur J, Taccone FS, Gaspard N. Delayed Deterioration of Electroencephalogram in Patients with Cardiac Arrest: A Cohort Study. Neurocrit Care 2024; 40:633-644. [PMID: 37498454 DOI: 10.1007/s12028-023-01791-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 06/23/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND The aim of this study was to assess the prevalence of delayed deterioration of electroencephalogram (EEG) in patients with cardiac arrest (CA) without early highly malignant patterns and to determine their associations with clinical findings. METHODS This was a retrospective study of adult patients with CA admitted to the intensive care unit (ICU) of a university hospital. We included all patients with CA who had a normal voltage EEG, no more than 10% discontinuity, and absence of sporadic epileptic discharges, periodic discharges, or electrographic seizures. Delayed deterioration was classified as the following: (1) epileptic deterioration, defined as the appearance, at least 24 h after CA, of sporadic epileptic discharges, periodic discharges, and status epilepticus; or (2) background deterioration, defined as increasing discontinuity or progressive attenuation of the background at least 24 h after CA. The end points were the incidence of EEG deteriorations and their association with clinical features and ICU mortality. RESULTS We enrolled 188 patients in the analysis. The ICU mortality was 46%. Overall, 30 (16%) patients presented with epileptic deterioration and 9 (5%) patients presented with background deterioration; of those, two patients presented both deteriorations. Patients with epileptic deterioration more frequently had an out-of-hospital CA, and higher time to return of spontaneous circulation and less frequently had bystander resuscitation than others. Patients with background deterioration showed a predominantly noncardiac cause, more frequently developed shock, and had multiple organ failure compared with others. Patients with epileptic deterioration presented with a higher ICU mortality (77% vs. 41%; p < 0.01) than others, whereas all patients with background deterioration died in the ICU. CONCLUSIONS Delayed EEG deterioration was associated with high mortality rate. Epileptic deterioration was associated with worse characteristics of CA, whereas background deterioration was associated with shock and multiple organ failure.
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Affiliation(s)
- Lorenzo Peluso
- Departement of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, 4, 20072, Pieve Emanuele, Italy.
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium.
- Departement of Anesthesiology and Intensive Care, Humanitas Gavazzeni, Via Mauro Gavazzeni, 21, 24125, Bergamo, Italy.
| | - Serena Stropeni
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Elisabetta Macchini
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Caterina Peratoner
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Lorenzo Ferlini
- Department of Neurology, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Benjamin Legros
- Department of Neurology, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Andrea Minini
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Elisa Gouvea Bogossian
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Andrea Garone
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Jacques Creteur
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Fabio Silvio Taccone
- Department of Intensive Care, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
| | - Nicolas Gaspard
- Department of Neurology, Erasme Hospital, Route de Lennik, 808, 1070, Brussels, Belgium
- Department of Neurology, Yale University Medical School, 15, York Street, New Haven, CT, 06510, USA
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