1
|
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.
Collapse
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.
| |
Collapse
|
2
|
Song H, Mah B, Sun Y, Aloysius N, Bai Y, Zhang L. Development of spontaneous recurrent seizures accompanied with increased rates of interictal spikes and decreased hippocampal delta and theta activities following extended kindling in mice. Exp Neurol 2024; 379:114860. [PMID: 38876195 DOI: 10.1016/j.expneurol.2024.114860] [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: 05/30/2024] [Accepted: 06/09/2024] [Indexed: 06/16/2024]
Abstract
Interictal epileptiform discharges refer to aberrant brain electrographic signals between seizures and feature intermittent interictal spikes (ISs), sharp waves, and/or abnormal rhythms. Recognition of these epileptiform activities by electroencephalographic (EEG) examinations greatly aids epilepsy diagnosis and localization of the seizure onset zone. ISs are a major form of interictal epileptiform discharges recognized in animal models of epilepsy. Progressive changes in IS waveforms, IS rates, and/or associated fast ripple oscillations have been shown to precede the development of spontaneous recurrent seizures (SRS) in various animal models. IS expressions in the kindling model of epilepsy have been demonstrated but IS changes during the course of SRS development in extended kindled animals remain to be detailed. We hence addressed this issue using a mouse model of kindling-induced SRS. Adult C57 black mice received twice daily hippocampal stimulations until SRS occurrence, with 24-h EEG monitoring performed following 50, 80, and ≥ 100 stimulations and after observation of SRS. In the stimulated hippocampus, increases in spontaneous ISs rates, but not in IS waveforms nor IS-associated fast ripples, along with decreased frequencies of hippocampal delta and theta rhythms, were observed before SRS onset. Comparable increases in IS rates were further observed in the unstimulated hippocampus, piriform cortex, and entorhinal cortex, but not in the unstimulated parietal cortex and dorsomedial thalamus. These data provide original evidence suggesting that increases in hippocampal IS rates, together with reductions in hippocampal delta and theta rhythms are closely associated with development of SRS in a rodent kindling model.
Collapse
Affiliation(s)
- Hongmei Song
- Departments of Neurosurgery, India; Krembil Research Institute, University Health Network, Canada.
| | - Bryan Mah
- Krembil Research Institute, University Health Network, Canada
| | - Yuqing Sun
- Krembil Research Institute, University Health Network, Canada
| | - Nancy Aloysius
- Krembil Research Institute, University Health Network, Canada
| | - Yang Bai
- Neuro-Oncology the First Hospital of Jilin University, China.
| | - Liang Zhang
- Krembil Research Institute, University Health Network, Canada; Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
| |
Collapse
|
3
|
Pyrzowski J, Kałas M, Mazurkiewicz-Bełdzińska M, Siemiński M. EEG biomarkers for the prediction of post-traumatic epilepsy - a systematic review of an emerging field. Seizure 2024; 119:71-77. [PMID: 38796954 DOI: 10.1016/j.seizure.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: 01/19/2024] [Revised: 04/24/2024] [Accepted: 05/12/2024] [Indexed: 05/29/2024] Open
Abstract
Traumatic brain injury (TBI) is often followed by post-traumatic epilepsy (PTE), a condition often difficult to treat and leading to a substantial decline in quality of life as well as increased long-term mortality. The latent period between TBI and the emergence of spontaneous recurrent seizures provides an opportunity for pharmacological intervention to prevent epileptogenesis. Biomarkers capable of predicting PTE development are urgently needed to facilitate clinical trials of putative anti-epileptogenic drugs. EEG is a widely available and flexible diagnostic modality that plays a fundamental role in epileptology. We systematically review the advances in the field of the discovery of EEG biomarkers for the prediction of PTE in humans. Despite recent progress, the field faces several challenges including short observation periods, a focus on early post-injury monitoring, difficulties in translating findings from animal models to scalp EEG, and emerging evidence indicating the importance of assessing altered background scalp EEG activity alongside epileptiform activity using quantitative EEG methods while also considering sleep abnormalities in future studies.
Collapse
Affiliation(s)
- Jan Pyrzowski
- Department of Emergency Medicine, Medical University of Gdańsk, Gdańsk, Poland.
| | - Maria Kałas
- Department of Emergency Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Mariusz Siemiński
- Department of Emergency Medicine, Medical University of Gdańsk, Gdańsk, Poland
| |
Collapse
|
4
|
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.
Collapse
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
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Brigo F, Zelano J, Abraira L, Bentes C, Ekdahl CT, Lattanzi S, Ingvar Lossius M, Redfors P, Rouhl RPW, Russo E, Sander JW, Vogrig A, Wickström R. Proceedings of the "International Congress on Structural Epilepsy & Symptomatic Seizures" (STESS, Gothenburg, Sweden, 29-31 March 2023). Epilepsy Behav 2024; 150:109538. [PMID: 38039602 DOI: 10.1016/j.yebeh.2023.109538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/09/2023] [Accepted: 11/09/2023] [Indexed: 12/03/2023]
Affiliation(s)
- Francesco Brigo
- Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
| | - Johan Zelano
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden; Institute of Neuroscience and Physiology, Department of Clinical Neuroscience, Sahlgrenska Academy, Gothenburg University, Sweden; Wallenberg Center of Molecular and Translational Medicine, Gothenburg University, Sweden
| | - Laura Abraira
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Barcelona, Spain; Epilepsy Research Group, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain
| | - Carla Bentes
- Neurophysiological Monitoring Unit - EEG/Sleep Laboratory, Refractory Epilepsy Reference Centre (member of EpiCARE), Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal; Centro de Estudos Egas Moniz, Faculty of Medicine, Lisbon University, Lisbon, Portugal
| | - Christine T Ekdahl
- Division of Clinical Neurophysiology and Department of Clinical Sciences, Lund University, Sweden; Lund Epilepsy Center, Department of Clinical Sciences, Lund University, Sweden
| | - Simona Lattanzi
- Neurological Clinic, Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy
| | - Morten Ingvar Lossius
- National Centre for Epilepsy, Division of Clinical Neuroscience, Oslo University Hospital, Member of the ERN EpiCARE, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Petra Redfors
- Department of Neurology, Member of the ERN EpiCARE, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Rob P W Rouhl
- Department of Neurology, Maastricht University Medical Centre+, Maastricht, The Netherlands; Academic Centre for Epileptology Kempenhaeghe/MUMC+ Heeze and Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Emilio Russo
- Science of Health Department, University Magna Grecia of Catanzaro, Italy
| | - Josemir W Sander
- Department of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, Queen Square, London, UK; Centre for Epilepsy, Chalfont St Peter, Bucks., SL9 0RJ, United Kingdom; Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede 2103 SW, The Netherlands; Neurology Department, West of China Hospital, Sichuan University, Chengdu 610041, China
| | - Alberto Vogrig
- Department of Medicine (DAME), University of Udine, Udine, Italy; Clinical Neurology, Department of Head-Neck and Neuroscience, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | - Ronny Wickström
- Neuropediatric Unit, Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
7
|
Rodrigo-Gisbert M, Abraira L, Quintana M, Gómez-Dabó L, López-Maza S, Sueiras M, Thonon V, Campos-Fernández D, Lallana S, Fonseca E, Toledo M, Santamarina E. Risk assessment of long-term epilepsy after de novo status epilepticus with clinical and electroencephalographic biomarkers: The AFTER score. Epilepsy Behav 2023; 149:109531. [PMID: 37995538 DOI: 10.1016/j.yebeh.2023.109531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/18/2023] [Accepted: 11/06/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND The risk of developing epilepsy after de novo status epilepticus (SE) is nonnegligible. The individualized management of patients with high risk of subsequent epilepsy could improve long-term quality of life and cognitive impairment. We aimed to ascertain potential biomarkers of subsequent epilepsy and to construct a scoring system possessing predictive value for the diagnosis of post-SE epilepsy during follow-up. METHODS The study data were obtained from a prospective registry of all SE episodes occurring in patients over 16 years attended in our tertiary center from February 2011 to April 2022. Clinical data, electroencephalography findings, treatment, and long-term clinical data were prospectively recorded. We selected SE patients at risk of developing epilepsy (acute symptomatic and cryptogenic etiologies with no previous history of epilepsy) and analyzed the risk of developing subsequent epilepsy. RESULTS We included 230 patients. Median age was 65 years ± 16.9 SD and 112/230 (48.7 %) were women. One-hundred ninety-eight patients (86.1 %) had an acute symptomatic SE, whereas 32 patients (13.9 %) presented with a cryptogenic SE. A total of 55 patients (23.9 %) developed an unprovoked remote seizure and were diagnosed with epilepsy. After adjusting for identifiable confounders in a multivariable Cox regression analysis cryptogenic etiology (HR 2.24 [1.13-4.46], p = 0.022), first-line treatment initiation ≥1 h (HR 2.12 [1.03-4.36], p = 0.041], RDA/LPD/GPD EEG patterns (HR 1.88 [1.07-3.32], p = 0.028), and super-refractoriness (HR 2.90 [1.40-5.99], p = 0.004) emerged as independent predictors of post-SE epilepsy. Based on these findings, we constructed the AFTER score (1 point for each item) with a robust capability to predict post-SE epilepsy at 5 years (AUC 74.3 %, 95 %CI 64.3-84.3 %, p < 0.001). CONCLUSIONS The AFTER score is a robust predictor of the development of epilepsy after new onset SE using clinical and electroencephalographic biomarkers (such as etiology, time to first-line treatment initiation, EEG pattern and super-refractoriness). Prospective studies are warranted to validate the score in other populations.
Collapse
Affiliation(s)
- Marc Rodrigo-Gisbert
- Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Laura Abraira
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
| | - Manuel Quintana
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Laura Gómez-Dabó
- Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Samuel López-Maza
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - María Sueiras
- Neurophysiology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Vanesa Thonon
- Neurophysiology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Daniel Campos-Fernández
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Sofía Lallana
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Elena Fonseca
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Manuel Toledo
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Estevo Santamarina
- Epilepsy Unit, Neurology Department. Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Research group on Status Epilepticus and Acute Seizures, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| |
Collapse
|
8
|
Rodrigo-Gisbert M, Gómez-Dabó L, Quintana M, Campos-Fernández D, Lallana S, Fonseca E, Abraira L, Toledo M, Santamarina E. Prediction of long-term unprovoked seizures after status epilepticus. Epilepsia 2023; 64:2399-2408. [PMID: 37347842 DOI: 10.1111/epi.17697] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/21/2023] [Accepted: 06/21/2023] [Indexed: 06/24/2023]
Abstract
OBJECTIVE Possible long-term consequences of status epilepticus (SE) include cognitive and behavioral impairment and the development of chronic epilepsy. However, these aspects have not been systematically studied in clinical practice. We aimed to evaluate long-term seizure recurrence after SE and the potential risk factors for their development. METHODS Data were obtained from a prospective registry of all SE episodes occurring in adult patients who attended our center from February 2011 to April 2022. Clinical data, electroencephalographic findings, treatment, and long-term data were prospectively recorded. We performed a cross-sectional study of consecutive SE patients without previous epilepsy diagnosis, and analyzed the development of unprovoked remote seizures. RESULTS A total of 849 patients were registered in the database. After excluding in-hospital mortality (198/849, 23.3%) and patients with prior epilepsy history (291/849, 44.7%), 360 patients (42.4%) with a first SE episode were included. The median age was 68 years (interquartile range [IQR] = 56-79), and 176 patients (48.9%) were women. The median time to first-line treatment initiation was 2 h (IQR = .7-7.4), and it was correlated with SE duration (R = .375, p < .001). One hundred nine patients (30.3%) presented unprovoked seizures during a median follow-up of 1.8 years (IQR = .5-4.3). After adjusting for identifiable confounders in a multivariable Cox regression analysis, progressive symptomatic etiology (hazard ratio [HR] = 1.97, 95% confidence interval [CI] = 1.17-3.33, p = .011), time to first-line treatment initiation > 1.5 h (HR = 1.89, 95% CI = 1.25-2.87, p = .003), and superrefractory SE (HR = 2.34, 95% CI = 1.26-4.33, p = .007) were independently associated with a greater risk of unprovoked seizure recurrence. In contrast, older patients (HR = .99, 95% CI = .97-.99, p = .021) and an acute symptomatic etiology (HR = .44, 95% CI .28-.68, p < .001) were at lower risk of unprovoked seizure recurrence. SIGNIFICANCE The etiology of SE, the delay in initiating SE treatment, and the presence of superrefractoriness have been identified as potentials factors associated with unprovoked remote seizures following a new onset SE. Therefore, prompt and appropriate management should be applied to avoid seizure recurrence.
Collapse
Affiliation(s)
- Marc Rodrigo-Gisbert
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Laura Gómez-Dabó
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Manuel Quintana
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Daniel Campos-Fernández
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sofía Lallana
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elena Fonseca
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Laura Abraira
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Manuel Toledo
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Estevo Santamarina
- Neurology Department, Epilepsy Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| |
Collapse
|
9
|
Di Sapia R, Rizzi M, Moro F, Lisi I, Caccamo A, Ravizza T, Vezzani A, Zanier ER. ECoG spiking activity and signal dimension are early predictive measures of epileptogenesis in a translational mouse model of traumatic brain injury. Neurobiol Dis 2023; 185:106251. [PMID: 37536383 DOI: 10.1016/j.nbd.2023.106251] [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: 04/18/2023] [Revised: 07/19/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023] Open
Abstract
The latency between traumatic brain injury (TBI) and the onset of epilepsy (PTE) represents an opportunity for counteracting epileptogenesis. Antiepileptogenesis trials are hampered by the lack of sensitive biomarkers that allow to enrich patient's population at-risk for PTE. We aimed to assess whether specific ECoG signals predict PTE in a clinically relevant mouse model with ∼60% epilepsy incidence. TBI was provoked in adult CD1 male mice by controlled cortical impact on the left parieto-temporal cortex, then mice were implanted with two perilesional cortical screw electrodes and two similar electrodes in the hemisphere contralateral to the lesion site. Acute seizures and spikes/sharp waves were ECoG-recorded during 1 week post-TBI. These early ECoG events were analyzed according to PTE incidence as assessed by measuring spontaneous recurrent seizures (SRS) at 5 months post-TBI. We found that incidence, number and duration of acute seizures during 3 days post-TBI were similar in PTE mice and mice not developing epilepsy (No SRS mice). Control mice with cortical electrodes (naïve, n = 5) or with electrodes and craniotomy (sham, n = 5) exhibited acute seizures but did not develop epilepsy. The daily number of spikes/sharp waves at the perilesional electrodes was increased similarly in PTE (n = 15) and No SRS (n = 8) mice vs controls (p < 0.05, n = 10) from day 2 post-injury. Differently, the daily number of spikes/sharp waves at both contralateral electrodes showed a progressive increase in PTE mice vs No SRS and control mice. In particular, spikes number was higher in PTE vs No SRS mice (p < 0.05) at 6 and 7 days post-TBI, and this measure predicted epilepsy development with high accuracy (AUC = 0.77, p = 0.03; CI 0.5830-0.9670). The cut-off value was validated in an independent cohort of TBI mice (n = 12). The daily spike number at the contralateral electrodes showed a circadian distribution in PTE mice which was not observed in No SRS mice. Analysis of non-linear dynamics at each electrode site showed changes in dimensionality during 4 days post-TBI. This measure yielded the best discrimination between PTE and No SRS mice (p < 0.01) at the cortical electrodes contralateral to injury. Data show that epileptiform activity contralateral to the lesion site has the the highest predictive value for PTE in this model reinforcing the hypothesis that the hemisphere contralateral to the lesion core may drive epileptogenic networks after TBI.
Collapse
Affiliation(s)
- Rossella Di Sapia
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Massimo Rizzi
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Federico Moro
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Ilaria Lisi
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Alessia Caccamo
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Teresa Ravizza
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Annamaria Vezzani
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
| | - Elisa R Zanier
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
| |
Collapse
|
10
|
Sivaraju A, Hirsch LJ. Do acute EEG findings add to clinical features in predicting outcomes after status epilepticus and acute symptomatic seizures? Epilepsy Behav 2023; 141:109134. [PMID: 36848748 DOI: 10.1016/j.yebeh.2023.109134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 02/02/2023] [Indexed: 02/27/2023]
Abstract
Status epilepticus is a potentially life-threatening medical emergency associated with poor functional outcomes. Improving our ability to accurately predict functional outcomes is beneficial to optimizing treatment strategies. Currently, there are four published status epilepticus scores in adults: STESS (Status Epilepticus Severity Score), EMSE (Epidemiology-Based Mortality Score in Status Epilepticus), END-IT (Encephalitis-Nonconvulsive-Diazepam resistance-Imaging-Tracheal intubation), and recently published ACD (Age-level of Consciousness-Duration of status epilepticus) score. The only available scale in the pediatric population is PEDSS (Pediatric CPC scale-EEG (normal vs abnormal)-Drug refractoriness-critical Sickness-Semiology). While these scores are useful research tools, currently there is little evidence to suggest their utility during real-time clinical care. Except for EMSE, none of the scores incorporate EEG findings for prognostication. Adding EEG features improves prognostic accuracy, as has been shown with the EMSE scale with and without the EEG component. Acute symptomatic seizures (AsyS) and early epileptiform abnormalities, especially nonconvulsive seizures, and periodic discharges, markedly increase the risk for subsequent unprovoked seizures. However, many of these patients may not need lifelong anti-seizure medications (ASMs). Continuous EEG monitoring shows that the majority of ASyS are nonconvulsive and can identify epileptic patterns. Dedicated specialty clinics for these patients, known as Post Acute Symptomatic Seizure (PASS) clinics, already exist in the United States. Post Acute Symptomatic Seizure clinics are ideal for both long-term clinical care and answering important research questions related to epileptogenesis, duration of ASM treatment required, and evolution of EEG findings. This topic was presented at the 8th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in September 2022. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Collapse
Affiliation(s)
- Adithya Sivaraju
- Comprehensive Epilepsy Center, Department of Neurology, Yale University, New Haven, CT, United States.
| | - Lawrence J Hirsch
- Comprehensive Epilepsy Center, Department of Neurology, Yale University, New Haven, CT, United States
| |
Collapse
|
11
|
Krämer G, Specht U. Driving eligibility for group 1 and 2 licenses after an acute symptomatic seizure due to a structural brain lesion – English Version. ZEITSCHRIFT FÜR EPILEPTOLOGIE 2022. [DOI: 10.1007/s10309-022-00528-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
12
|
Germonpré C, Proesmans S, Bouckaert C, Sprengers M, Boon P, Raedt R, De Herdt V. Seizures and Interictal Epileptiform Activity in the Rat Collagenase Model for Intracerebral Hemorrhage. Front Neurosci 2021; 15:682036. [PMID: 34220437 PMCID: PMC8249930 DOI: 10.3389/fnins.2021.682036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 05/12/2021] [Indexed: 11/13/2022] Open
Abstract
Aims Intracerebral hemorrhage (ICH) is a known risk factor for the development of acute symptomatic as well as late unprovoked seizures. The underlying pathophysiology of post-ICH seizures is incompletely understood and there are no reliable predictive biomarkers. An animal model to study post-ICH seizures is currently lacking. The aim of this study was to investigate (1) the occurrence of seizures and interictal epileptiform activity in the ICH rat collagenase model using long-term video-EEG monitoring (VEM) and (2) whether seizure occurrence was associated with interictal epileptiform activity and histological features. Methods Male Sprague-Dawley rats were implanted with epidural electrodes. After 1 week of baseline VEM, collagenase was injected in left striatum to induce an ICH. VEM was continued for 180 days to assess the occurrence of post-ICH seizures and interictal epileptiform activity (spikes and epileptiform discharges). At the end of the experiment, animals were euthanized for histological characterization of the hemorrhagic lesion, using cresyl violet, Prussian blue and immunofluorescence staining. Results Acute symptomatic seizures occurred in 4/12 animals between 46 and 80 h after ICH induction. Late unprovoked seizures were present in 2/12 animals and started at 90 and 103 days post-ICH. Animals with late unprovoked seizures did not have acute symptomatic seizures. All electrographic seizures were accompanied by clear behavioral changes. Interictal spikes and epileptiform discharges were observed in all animals but occurred more frequently in rats with late seizures (p = 0.019 and p < 0.001, respectively). Animals with acute symptomatic seizures had more extended hemorrhagic lesions and hemosiderin deposits in the piriform cortex. Conclusion Both acute symptomatic and late unprovoked seizures were observed in the rat collagenase model. Interictal epileptiform activity was more frequently seen in animals with late seizures. Rats with acute symptomatic seizures showed more extensive lesions and hemosiderin deposits in the piriform cortex. This model could be used to further explore possible biomarkers for epileptogenesis.
Collapse
Affiliation(s)
| | - Silke Proesmans
- 4BRAIN, Department of Neurology, Ghent University, Ghent, Belgium
| | | | | | - Paul Boon
- 4BRAIN, Department of Neurology, Ghent University, Ghent, Belgium
| | - Robrecht Raedt
- 4BRAIN, Department of Neurology, Ghent University, Ghent, Belgium
| | - Veerle De Herdt
- 4BRAIN, Department of Neurology, Ghent University, Ghent, Belgium
| |
Collapse
|