1
|
Rice HJ, Fernandes MB, Punia V, Rubinos C, Sivaraju A, Zafar SF. Predictors of follow-up care for critically-ill patients with seizures and epileptiform abnormalities on EEG monitoring. Clin Neurol Neurosurg 2024; 241:108275. [PMID: 38640778 PMCID: PMC11167629 DOI: 10.1016/j.clineuro.2024.108275] [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: 02/12/2024] [Revised: 03/20/2024] [Accepted: 04/04/2024] [Indexed: 04/21/2024]
Abstract
OBJECTIVE Post-hospitalization follow-up visits are crucial for preventing long-term complications. Patients with electrographic epileptiform abnormalities (EA) including seizures and periodic and rhythmic patterns are especially in need of follow-up for long-term seizure risk stratification and medication management. We sought to identify predictors of follow-up. METHODS This is a retrospective cohort study of all patients (age ≥ 18 years) admitted to intensive care units that underwent continuous EEG (cEEG) monitoring at a single center between 01/2016-12/2019. Patients with EAs were included. Clinical and demographic variables were recorded. Follow-up status was determined using visit records 6-month post discharge, and visits were stratified as outpatient follow-up, neurology follow-up, and inpatient readmission. Lasso feature selection analysis was performed. RESULTS 723 patients (53 % female, mean (std) age of 62.3 (16.4) years) were identified from cEEG records with 575 (79 %) surviving to discharge. Of those discharged, 450 (78 %) had outpatient follow-up, 316 (55 %) had a neurology follow-up, and 288 (50 %) were readmitted during the 6-month period. Discharge on antiseizure medications (ASM), younger age, admission to neurosurgery, and proximity to the hospital were predictors of neurology follow-up visits. Discharge on ASMs, along with longer length of stay, younger age, emergency admissions, and higher illness severity were predictors of readmission. SIGNIFICANCE ASMs at discharge, demographics (age, address), hospital care teams, and illness severity determine probability of follow-up. Parameters identified in this study may help healthcare systems develop interventions to improve care transitions for critically-ill patients with seizures and other EA.
Collapse
Affiliation(s)
- Hunter J Rice
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States; Center for Value-based Health Care and Sciences, Massachusetts General Hospital, Boston, MA, United States
| | - Marta Bento Fernandes
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States; Center for Value-based Health Care and Sciences, Massachusetts General Hospital, Boston, MA, United States
| | - Vineet Punia
- Epilepsy Center, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Clio Rubinos
- University of North Carolina, Chapel Hill, NC, United States
| | - Adithya Sivaraju
- Department of Neurology, Yale New Haven Hospital, Yale University, New Haven, CT, United States
| | - Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States; Center for Value-based Health Care and Sciences, Massachusetts General Hospital, Boston, MA, United States.
| |
Collapse
|
2
|
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
|
3
|
Xie D, Toutant D, Ng MC. Residual Seizure Rate of Intermittent Inpatient EEG Compared to a Continuous EEG Model. Can J Neurol Sci 2024; 51:246-254. [PMID: 37282558 DOI: 10.1017/cjn.2023.241] [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] [Indexed: 06/08/2023]
Abstract
BACKGROUND Subclinical seizures are common in hospitalized patients and require electroencephalography (EEG) for detection and intervention. At our institution, continuous EEG (cEEG) is not available, but intermittent EEGs are subject to constant live interpretation. As part of quality improvement (QI), we sought to estimate the residual missed seizure rate at a typical quaternary Canadian health care center without cEEG. METHODS We calculated residual risk percentages using the clinically validated 2HELPS2B score to risk-stratify EEGs before deriving a risk percentage using a MATLAB calculator which modeled the risk decay curve for each recording. We generated a range of estimated residual seizure rates depending on whether a pre-cEEG screening EEG was simulated, EEGs showing seizures were included, or repeat EEGs on the same patient were excluded. RESULTS Over a 4-month QI period, 499 inpatient EEGs were scored as low (n = 125), medium (n = 123), and high (n = 251) seizure risk according to 2HELPS2B criteria. Median recording duration was 1:00:06 (interquartile range, IQR 30:40-2:21:10). The model with highest residual seizure rate included recordings with confirmed electrographic seizures (median 20.83%, IQR 20.6-26.6%), while the model with lowest residual seizure rate was in seizure-free recordings (median 10.59%, IQR 4%-20.6%). These rates were significantly higher than the benchmark 5% miss-rate threshold set by 2HELPS2B (p<0.0001). CONCLUSIONS We estimate that intermittent inpatient EEG misses 2-4 times more subclinical seizures than the 2HELPS2B-determined acceptable 5% seizure miss-rate threshold for cEEG. Future research is needed to determine the impact of potentially missed seizures on clinical care.
Collapse
Affiliation(s)
- Dave Xie
- Undergraduate Medical Education, University of Manitoba, Winnipeg, MB, Canada
| | - Darion Toutant
- Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada
| | - Marcus C Ng
- Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada
- Section of Neurology, University of Manitoba, Winnipeg, MB, Canada
| |
Collapse
|
4
|
Byrnes M, Thompson NR, Hantus ST, Fesler JR, Ying Z, Ayub N, Rubinos C, Zafar S, Sivaraju A, Punia V. Characteristics and Attendance of Patients Eligible for the PASS Clinic: A Transition of Care Model After Acute Symptomatic Seizures. Neurol Clin Pract 2024; 14:e200232. [PMID: 38213398 PMCID: PMC10781564 DOI: 10.1212/cpj.0000000000200232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/04/2023] [Indexed: 01/13/2024]
Abstract
Background and Objectives Most acute symptomatic seizure (ASyS) patients stay on antiseizure medications (ASM) long-term, despite low epilepsy development risk. The Post-Acute Symptomatic Seizure (PASS) clinic is a transition of care model for ASyS patients who individualize ASM management with the goal of a safe deprescription. We evaluated patients discharged on ASMs after a witnessed or suspected ASyS to analyze their PASS clinic visit attendance and its predictors. Methods A single-center, retrospective cohort study of adults without epilepsy who were discharged from January 1, 2019, to September 30, 2019, on first-time ASMs due to witnessed or suspected ASyS (PASS clinic-eligible). We fit a cause-specific Cox proportional hazards model to analyze factors associated with PASS clinic attendance, which depends on survival in this patient population that has a high early postdischarge mortality (a competing risk). We checked for multicollinearity and the assumption of proportional hazards. Results Among 307 PASS clinic-eligible patients, 95 (30.9%) attended the clinic and 136 (44.3%) died during a median follow-up of 14 months (interquartile range = 2-34). ASyS occurred in 60.2% (convulsive 47%; electrographic 26.7%) of patients. ASMs were continued in the absence of ASyS or epileptiform abnormalities (EAs) in 27% of patients. Multivariable analysis revealed that the presence of EAs (HR = 1.69, 95% CI 1.10-2.59), PASS clinic appointments provided before discharge (HR = 3.39, 95% CI 2.15-5.33), and less frequently noted ASyS etiologies such as autoimmune encephalitis (HR = 2.03, 95% CI 1.07-3.86) were associated with an increased clinic attendance rate. Medicare/Medicaid insurance (HR = 0.43, 95% CI 0.24-0.78, p = 0.005) and the presence of progressive brain injury (i.e., tumors; HR = 0.55, 95% CI 0.32-0.95, p = 0.032) were associated with reduced rate of PASS clinic attendance. Discussion Our real-world data highlight the need for appropriate postdischarge follow-up of ASyS patients, which can be fulfilled by the PASS clinic model. Modest PASS clinic attendance can be significantly improved by adhering to a structured discharge planning process whereby appointments are provided before discharge. Future research comparing patient outcomes, specifically safe ASM discontinuation in a PASS clinic model to routine clinical care, is needed.
Collapse
Affiliation(s)
- MarieElena Byrnes
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Nicolas R Thompson
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Stephen T Hantus
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Jessica R Fesler
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Zhong Ying
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Neishay Ayub
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Clio Rubinos
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Sahar Zafar
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Adithya Sivaraju
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| | - Vineet Punia
- Epilepsy Center (MB, STH, JRF, ZY, VP), Neurological Institute; Department of Quantitative Health Sciences (NRT), Lerner Research Institute; Center for Outcomes Research and Evaluation (NRT), Neurological Institute, Cleveland Clinic, OH; Rhode Island Hospital (NA), Brown University; University of North Carolina (CR), Chapel Hill; Massachusetts General Hospital (SZ), Harvard University; Yale New Haven Hospital (AS), Yale University
| |
Collapse
|
5
|
Green A, Wegman ME, Ney JP. Economic review of point-of-care EEG. J Med Econ 2024; 27:51-61. [PMID: 38014443 DOI: 10.1080/13696998.2023.2288422] [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: 06/16/2023] [Accepted: 11/23/2023] [Indexed: 11/29/2023]
Abstract
Aims: Point-of-care electroencephalogram (POC-EEG) is an acute care bedside screening tool for the identification of nonconvulsive seizures (NCS) and nonconvulsive status epilepticus (NCSE). The objective of this narrative review is to describe the economic themes related to POC-EEG in the United States (US).Materials and methods: We examined peer-reviewed, published manuscripts on the economic findings of POC-EEG for bedside use in US hospitals, which included those found through targeted searches on PubMed and Google Scholar. Conference abstracts, gray literature offerings, frank advertisements, white papers, and studies conducted outside the US were excluded.Results: Twelve manuscripts were identified and reviewed; results were then grouped into four categories of economic evidence. First, POC-EEG usage was associated with clinical management amendments and antiseizure medication reductions. Second, POC-EEG was correlated with fewer unnecessary transfers to other facilities for monitoring and reduced hospital length of stay (LOS). Third, when identifying NCS or NCSE onsite, POC-EEG was associated with greater reimbursement in Medical Severity-Diagnosis Related Group coding. Fourth, POC-EEG may lower labor costs via decreasing after-hours requests to EEG technologists for conventional EEG (convEEG).Limitations: We conducted a narrative review, not a systematic review. The studies were observational and utilized one rapid circumferential headband system, which limited generalizability of the findings and indicated publication bias. Some sample sizes were small and hospital characteristics may not represent all US hospitals. POC-EEG studies in pediatric populations were also lacking. Ultimately, further research is justified.Conclusions: POC-EEG is a rapid screening tool for NCS and NCSE in critical care and emergency medicine with potential financial benefits through refining clinical management, reducing unnecessary patient transfers and hospital LOS, improving reimbursement, and mitigating burdens on healthcare staff and hospitals. Since POC-EEG has limitations (i.e. no video component and reduced montage), the studies asserted that it did not replace convEEG.
Collapse
Affiliation(s)
- Adam Green
- Critical Care Medicine, Cooper University Health Care and Cooper Medical School of Rowan University, Camden, NJ, USA
| | - M Elizabeth Wegman
- Medical Communications, Costello Medical Consulting, Inc, Boston, MA, USA
| | - John P Ney
- Department of Neurology, Boston University Aram V. Chobanian & Edward Avedisian School of Medicine, Boston, MA, USA
| |
Collapse
|
6
|
Fernandes M, Westover MB, Zafar SF. Identifying inpatient hospitalizations with continuous electroencephalogram monitoring from administrative data. BMC Health Serv Res 2023; 23:1234. [PMID: 37950245 PMCID: PMC10636942 DOI: 10.1186/s12913-023-10262-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Continuous electroencephalography (cEEG) is increasingly utilized in hospitalized patients to detect and treat seizures. Epidemiologic and observational studies using administrative datasets can provide insights into the comparative and cost effectiveness of cEEG utilization. Defining patient cohorts that underwent acute inpatient cEEG from administrative datasets is limited by the lack of validated codes differentiating elective epilepsy monitoring unit (EMU) admissions from acute inpatient hospitalization with cEEG utilization. Our aim was to develop hospital administrative data-based models to identify acute inpatient admissions with cEEG monitoring and distinguish them from EMU admissions. METHODS This was a single center retrospective cohort study of adult (≥ 18 years old) inpatient admissions with a cEEG procedure (EMU or acute inpatient) between January 2016-April 2022. The gold standard for acute inpatient cEEG vs. EMU was obtained from the local EEG recording platform. An extreme gradient boosting model was trained to classify admissions as acute inpatient cEEG vs. EMU using administrative data including demographics, diagnostic and procedure codes, and medications. RESULTS There were 9,523 patients in our cohort with 10,783 hospital admissions (8.5% EMU, 91.5% acute inpatient cEEG); with average age of 59 (SD 18.2) years; 46.2% were female. The model achieved an area under the receiver operating curve of 0.92 (95% CI [0.91-0.94]) and area under the precision-recall curve of 0.99 [0.98-0.99] for classification of acute inpatient cEEG. CONCLUSIONS Our model has the potential to identify cEEG monitoring admissions in larger cohorts and can serve as a tool to enable large-scale, administrative data-based studies of EEG utilization.
Collapse
Affiliation(s)
- Marta Fernandes
- Department of Neurology, Massachusetts General Hospital (MGH), 55 Fruit Street, Boston, MA, 02114, USA.
- Harvard Medical School, Boston, MA, USA.
| | - M Brandon Westover
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital (MGH), 55 Fruit Street, Boston, MA, 02114, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|
7
|
Fernandes M, Westover MB, Zafar SF. Identifying inpatient hospitalizations with continuous electroencephalogram monitoring from administrative data. RESEARCH SQUARE 2023:rs.3.rs-2882806. [PMID: 37214908 PMCID: PMC10197757 DOI: 10.21203/rs.3.rs-2882806/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Background Continuous electroencephalography (cEEG) is increasingly utilized in hospitalized patients to detect and treat seizures. Epidemiologic and observational studies using administrative datasets can provide insights into the comparative and cost effectiveness of cEEG utilization. Defining patient cohorts that underwent acute inpatient cEEG from administrative datasets is limited by the lack of validated codes differentiating elective epilepsy monitoring unit (EMU) admissions from acute inpatient hospitalization with cEEG utilization. Our aim was to develop hospital administrative data-based models to identify acute inpatient admissions with cEEG monitoring and distinguish them from EMU admissions. Methods This was a single center retrospective cohort study of adult (≥ 18 years old) inpatient admissions with a cEEG procedure (EMU or acute inpatient) between January 2016-April 2022. The gold standard for acute inpatient cEEG vs. EMU was obtained from the local EEG recording platform. An extreme gradient boosting model was trained to classify admissions as acute inpatient cEEG vs. EMU using administrative data including demographics, diagnostic and procedure codes, and medications. Results There were 9,523 patients in our cohort with 10,783 hospital admissions (8.5% EMU, 91.5% acute inpatient cEEG); with average age of 59 (SD 18.2) years; 46.2% were female. The model achieved an area under the receiver operating curve of 0.92 (95% CI [0.91-0.94]) and area under the precision-recall curve of 0.99 [0.98-0.99] for classification of acute inpatient cEEG. Conclusions Our model has the potential to identify cEEG monitoring admissions in larger cohorts and can serve as a tool to enable large-scale, administrative data-based studies of EEG utilization.
Collapse
|
8
|
Punia V, Galovic M, Chen Z, Bentes C. Editorial: Acute symptomatic seizures and epileptiform abnormalities: Management and outcomes. Front Neurol 2023; 14:1185710. [PMID: 37064190 PMCID: PMC10090676 DOI: 10.3389/fneur.2023.1185710] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 03/20/2023] [Indexed: 03/31/2023] Open
Affiliation(s)
- Vineet Punia
- Epilepsy Center, Cleveland Clinic, Cleveland, OH, United States
- *Correspondence: Vineet Punia
| | - Marian Galovic
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zürich, Zürich, Switzerland
| | - Zhibin Chen
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
- Department of Medicine – Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Carla Bentes
- Reference Centre for Refractory Epilepsies (Member of EpiCARE), Hospital de Santa Maria-CHULN, Lisbon, Portugal
- Department of Neuroscience and Mental Health (Neurology), Hospital de Santa Maria-CHULN, Lisbon, Portugal
- Centro de Estudos Egas Moniz, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| |
Collapse
|
9
|
Dhakar MB, Sheikh Z, Kumari P, Lawson EC, Jeanneret V, Desai D, Ruiz AR, Haider HA. Epileptiform Abnormalities in Acute Ischemic Stroke: Impact on Clinical Management and Outcomes. J Clin Neurophysiol 2022; 39:446-452. [PMID: 33298681 PMCID: PMC8371977 DOI: 10.1097/wnp.0000000000000801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
PURPOSE Studies examining seizures (Szs) and epileptiform abnormalities (EAs) using continuous EEG in acute ischemic stroke (AIS) are limited. Therefore, we aimed to describe the prevalence of Sz and EA in AIS, its impact on anti-Sz drug management, and association with discharge outcomes. METHODS The study included 132 patients with AIS who underwent continuous EEG monitoring >6 hours. Continuous EEG was reviewed for background, Sz and EA (lateralized periodic discharges [LPD], generalized periodic discharges, lateralized rhythmic delta activity, and sporadic epileptiform discharges). Relevant clinical, demographic, and imaging factors were abstracted to identify risk factors for Sz and EA. Outcomes included all-cause mortality, functional outcome at discharge (good outcome as modified Rankin scale of 0-2 and poor outcome as modified Rankin scale of 3-6) and changes to anti-Sz drugs (escalation or de-escalation). RESULTS The frequency of Sz was 7.6%, and EA was 37.9%. Patients with Sz or EA were more likely to have cortical involvement (84.6% vs. 67.5% P = 0.028). Among the EAs, the presence of LPD was associated with an increased risk of Sz (25.9% in LPD vs. 2.9% without LPD, P = 0.001). Overall, 21.2% patients had anti-Sz drug changes because of continuous EEG findings, 16.7% escalation and 4.5% de-escalation. The presence of EA or Sz was not associated with in-hospital mortality or discharge functional outcomes. CONCLUSIONS Despite the high incidence of EA, the rate of Sz in AIS is relatively lower and is associated with the presence of LPDs. These continuous EEG findings resulted in anti-Sz drug changes in one-fifth of the cohort. Epileptiform abnormality and Sz did not affect mortality or discharge functional outcomes.
Collapse
Affiliation(s)
- Monica B. Dhakar
- Epilepsy Section, Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| | - Zubeda Sheikh
- Department of Neurology, West Virginia University School of Medicine, Morgantown, West Virginia, U.S.A
| | - Polly Kumari
- Epilepsy Section, Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| | - Eric C. Lawson
- Epilepsy Section, Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| | - Valerie Jeanneret
- Epilepsy Section, Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| | - Dhaval Desai
- Epilepsy Section, Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| | - Andres Rodriguez Ruiz
- Epilepsy Section, Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| | - Hiba A. Haider
- Epilepsy Section, Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, U.S.A
| |
Collapse
|
10
|
Bozarth XL, Ko PY, Bao H, Abend NS, Watson RS, Qu P, Dervan LA, Morgan LA, Wainwright M, McGuire JK, Novotny E. Use of Continuous EEG Monitoring and Short-Term Outcomes in Critically Ill Children. J Pediatr Intensive Care 2022. [DOI: 10.1055/s-0042-1749433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
AbstractThis study aimed to compare short-term outcomes at pediatric intensive care unit (PICU) discharge in critically ill children with and without continuous electroencephalography (cEEG) monitoring. We retrospectively compared 234 patients who underwent cEEG with 2294 patients without cEEG. Propensity score matching was used to compare patients with seizures and status epilepticus between cEEG and historical cohorts. The EEG cohort had higher in-hospital mortality, worse Pediatric Cerebral Performance Category (PCPC) scores, and greater PCPC decline at discharge. In patients with status epilepticus, the PCPC decline was higher in the cEEG cohort. PCPC decline at PICU discharge was associated with cEEG monitoring in patients with status epilepticus.
Collapse
Affiliation(s)
- Xiuhua Liang Bozarth
- Division of Pediatric Neurology, Department of Neurology, University of Washington, Seattle, Washington, United States
| | - Pin-Yi Ko
- Division of Pediatric Neurology, Department of Neurology, University of Washington, Seattle, Washington, United States
| | - Hao Bao
- Biostatistics, Epidemiology, Econometrics and Programming Core, Seattle Children's Research Institute, Washington, United States
| | - Nicholas S. Abend
- Division of Neurology, Departments of Neurology and Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - R Scott Watson
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, United States
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, United States
| | - Pingping Qu
- Biostatistics, Epidemiology, Econometrics and Programming Core, Seattle Children's Research Institute, Washington, United States
| | - Leslie A. Dervan
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, United States
| | - Lindsey A. Morgan
- Division of Pediatric Neurology, Department of Neurology, University of Washington, Seattle, Washington, United States
| | - Mark Wainwright
- Division of Pediatric Neurology, Department of Neurology, University of Washington, Seattle, Washington, United States
| | - John K. McGuire
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, United States
| | - Edward Novotny
- Division of Pediatric Neurology, Department of Neurology, University of Washington, Seattle, Washington, United States
- Center for Integrative Brain Research, Seattle Children's Research Institute, Washington, United States
| |
Collapse
|
11
|
Chen H, Atallah E, Pauldurai J, Becker A, Koubeissi M. Continuous Electroencephalogram Evaluation of Paroxysmal Events in Critically Ill Patients: Diagnostic Yield and Impact on Clinical Decision Making. Neurocrit Care 2022; 37:697-704. [PMID: 35764859 DOI: 10.1007/s12028-022-01542-y] [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: 11/17/2021] [Accepted: 05/31/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Continuous electroencephalogram (cEEG) monitoring has been widely used in the intensive care unit (ICU) for the evaluation of patients in the ICU with altered consciousness to detect nonconvulsive seizures. We investigated the yield of cEEG when used to evaluate paroxysmal events in patients in the ICU and assessed the predictors of a diagnostic findings. The clinical impact of cEEG was also evaluated in this study. METHODS We identified patients in the ICU who underwent cEEG monitoring (> 6 h) to evaluate paroxysmal events between January 1, 2018, and December 31, 2019. We extracted patient demographics, medical history, neurological examination, brain imaging results, and the description of the paroxysmal events that necessitated the monitoring. We dichotomized the cEEG studies into those that captured habitual nonepileptic events or revealed epileptiform discharges (ictal or interictal), i.e., those considered to be of positive diagnostic yield (Y +), and those studies that did not show those findings (negative diagnostic yield, Y -). We also assessed the clinical impact of cEEG by documenting changes in administered antiseizure medication (ASM) before and after the cEEG. RESULTS We identified 159 recordings that were obtained for the indication of paroxysmal events, of which abnormal movements constituted the majority (n = 123). For the remaining events (n = 36), descriptions included gaze deviations, speech changes, and sensory changes. Twenty-nine percent (46 of 159) of the recordings were Y + , including the presence of ictal or interictal epileptiform discharges (n = 33), and captured habitual nonepileptic events (n = 13). A history of epilepsy was the only predictor of the study outcome. Detection of abnormal findings occurred within 6 h of the recording in most patients (30 of 46, 65%). Overall, cEEG studies led to 49 (31%) changes in ASM administration. The changes included dosage increases or initiation of ASM in patients with epileptiform discharges (n = 28) and reduction or elimination of ASM in patients with either habitual nonepileptic events (n = 5) or Y - cEEG studies (n = 16). CONCLUSIONS Continuous electroencephalogram monitoring is valuable in evaluating paroxysmal events, with a diagnostic yield of 29% in critically ill patients. A history of epilepsy predicts diagnostic studies. Both Y + and Y - cEEG studies may directly impact clinical decisions by leading to ASMs changes.
Collapse
Affiliation(s)
- Hai Chen
- Department of Neurology, George Washington University School of Medicine and Health Sciences, George Washington University, 2150 Pennsylvania Ave, NW, Washington, DC, 20037, USA.
| | - Eugenie Atallah
- Department of Neurology, George Washington University School of Medicine and Health Sciences, George Washington University, 2150 Pennsylvania Ave, NW, Washington, DC, 20037, USA
| | - Jennifer Pauldurai
- Department of Neurology, George Washington University School of Medicine and Health Sciences, George Washington University, 2150 Pennsylvania Ave, NW, Washington, DC, 20037, USA
| | - Andrew Becker
- Department of Neurology, George Washington University School of Medicine and Health Sciences, George Washington University, 2150 Pennsylvania Ave, NW, Washington, DC, 20037, USA
| | - Mohamad Koubeissi
- Department of Neurology, George Washington University School of Medicine and Health Sciences, George Washington University, 2150 Pennsylvania Ave, NW, Washington, DC, 20037, USA
| |
Collapse
|
12
|
Zafar SF, Rosenthal ES, Postma EN, Sanches P, Ayub MA, Rajan S, Kim JA, Rubin DB, Lee H, Patel AB, Hsu J, Patorno E, Westover MB. Antiseizure Medication Treatment and Outcomes in Patients with Subarachnoid Hemorrhage Undergoing Continuous EEG Monitoring. Neurocrit Care 2022; 36:857-867. [PMID: 34843082 PMCID: PMC9117405 DOI: 10.1007/s12028-021-01387-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 10/22/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Patients with aneurysmal subarachnoid hemorrhage (aSAH) with electroencephalographic epileptiform activity (seizures, periodic and rhythmic patterns, and sporadic discharges) are frequently treated with antiseizure medications (ASMs). However, the safety and effectiveness of ASM treatment for epileptiform activity has not been established. We used observational data to investigate the effectiveness of ASM treatment in patients with aSAH undergoing continuous electroencephalography (cEEG) to develop a causal hypothesis for testing in prospective trials. METHODS This was a retrospective single-center cohort study of patients with aSAH admitted between 2011 and 2016. Patients underwent ≥ 24 h of cEEG within 4 days of admission. All patients received primary ASM prophylaxis until aneurysm treatment (typically within 24 h of admission). Treatment exposure was defined as reinitiation of ASMs after aneurysm treatment and cEEG initiation. We excluded patients with non-cEEG indications for ASMs (e.g., epilepsy, acute symptomatic seizures). Outcomes measures were 90-day mortality and good functional outcome (modified Rankin Scale scores 0-3). Propensity scores were used to adjust for baseline covariates and disease severity. RESULTS Ninety-four patients were eligible (40 continued ASM treatment; 54 received prophylaxis only). ASM continuation was not significantly associated with higher 90-day mortality (propensity-adjusted hazard ratio [HR] = 2.01 [95% confidence interval (CI) 0.57-7.02]). ASM continuation was associated with lower likelihood for 90-day good functional outcome (propensity-adjusted HR = 0.39 [95% CI 0.18-0.81]). In a secondary analysis, low-intensity treatment (low-dose single ASM) was not significantly associated with mortality (propensity-adjusted HR = 0.60 [95% CI 0.10-3.59]), although it was associated with a lower likelihood of good outcome (propensity-adjusted HR = 0.37 [95% CI 0.15-0.91]), compared with prophylaxis. High-intensity treatment (high-dose single ASM, multiple ASMs, or anesthetics) was associated with higher mortality (propensity-adjusted HR = 6.80 [95% CI 1.67-27.65]) and lower likelihood for good outcomes (propensity-adjusted HR = 0.30 [95% CI 0.10-0.94]) compared with prophylaxis only. CONCLUSIONS Our findings suggest the testable hypothesis that continuing ASMs in patients with aSAH with cEEG abnormalities does not improve functional outcomes. This hypothesis should be tested in prospective randomized studies.
Collapse
Affiliation(s)
- Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Eva N Postma
- Department of Neurosurgery, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Paula Sanches
- Department of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | - Subapriya Rajan
- Department of Neurology, West Virginia University, Morgantown, WV, USA
| | - Jennifer A Kim
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Daniel B Rubin
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Hang Lee
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Aman B Patel
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - John Hsu
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Health Care Policy, Harvard Medical School, Harvard University, Boston, MA, USA
| | | | - M Brandon Westover
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| |
Collapse
|
13
|
Amerineni R, Sun H, Lee H, Hsu J, Patorno E, Westover MB, Zafar SF. Using electronic health data to explore effectiveness of ICU EEG and anti-seizure treatment. Ann Clin Transl Neurol 2021; 8:2270-2279. [PMID: 34802196 PMCID: PMC8670316 DOI: 10.1002/acn3.51478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/01/2021] [Accepted: 11/01/2021] [Indexed: 12/03/2022] Open
Abstract
Objectives The purpose of this study was to examine critical care continuous electroencephalography (cEEG) utilization and downstream anti‐seizure treatment patterns, their association with outcomes, and generate hypotheses for larger comparative effectiveness studies of cEEG‐guided interventions. Methods Single‐center retrospective study of critically ill patients (n = 14,523, age ≥18 years). Exposure defined as ≥24 h of cEEG and subsequent anti‐seizure medication (ASM) escalation, with or without concomitant anesthetic. Exposure window was the first 7 days of admission. Primary outcome was in‐hospital mortality. Multivariable analysis was performed using penalized logistic regression. Results One thousand and seventy‐three patients underwent ≥24 h of cEEG within 7 days of admission. After adjusting for disease severity, ≥24 h of cEEG followed by ASM escalation in patients not on anesthetics (n = 239) was associated with lower in‐hospital mortality (OR 0.76 [0.53–1.07]), though the finding did not reach significance. ASM escalation with concomitant anesthetic use (n = 484) showed higher odds for mortality (OR 1.41 [1.03–1.94]). In the seizures/status epilepticus subgroup, post cEEG ASM escalation without anesthetics showed lower odds for mortality (OR 0.43 [0.23–0.74]). Within the same subgroup, ASM escalation with concomitant anesthetic use showed higher odds for mortality (OR 1.34 [0.92–1.91]) though not significant. Interpretation Based on our findings we propose the following hypotheses for larger comparative effectiveness studies investigating the direct causal effect of cEEG‐guided treatment on outcomes: (1) cEEG‐guided ASM escalation may improve outcomes in critically ill patients with seizures; (2) cEEG‐guided treatment with combination of ASMs and anesthetics may not improve outcomes in all critically ill patients.
Collapse
Affiliation(s)
- Rajesh Amerineni
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Haoqi Sun
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hang Lee
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - John Hsu
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | - Elisabetta Patorno
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| |
Collapse
|
14
|
Punia V, Honomichl R, Chandan P, Ellison L, Thompson N, Sivaraju A, Katzan I, George P, Newey C, Hantus S. Long-term continuation of anti-seizure medications after acute stroke. Ann Clin Transl Neurol 2021; 8:1857-1866. [PMID: 34355539 PMCID: PMC8419404 DOI: 10.1002/acn3.51440] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/01/2021] [Accepted: 07/26/2021] [Indexed: 11/24/2022] Open
Abstract
Objective To investigate the factors associated with the long‐term continuation of anti‐seizure medications (ASMs) in acute stroke patients. Methods We performed a retrospective cohort study of stroke patients with concern for acute symptomatic seizures (ASySs) during hospitalization who subsequently visited the poststroke clinic. All patients had continuous EEG (cEEG) monitoring. We generated a multivariable logistic regression model to analyze the factors associated with the primary outcome of continued ASM use after the first poststroke clinic visit. Results A total of 507 patients (43.4% ischemic stroke, 35.7% intracerebral hemorrhage, and 20.9% aneurysmal subarachnoid hemorrhage) were included. Among them, 99 (19.5%) suffered from ASySs, 110 (21.7%) had epileptiform abnormalities (EAs) on cEEG, and 339 (66.9%) had neither. Of the 294 (58%) patients started on ASMs, 171 (33.7%) were discharged on them, and 156 (30.3% of the study population; 53.1% of patients started on ASMs) continued ASMs beyond the first poststroke clinic visit [49.7 (±31.7) days after cEEG]. After adjusting for demographical, stroke‐ and hospitalization‐related variables, the only independent factors associated with the primary outcome were admission to the NICU [Odds ratio (OR) 0.37 (95% CI 0.15–0.9)], the presence of ASySs [OR 20.31(95% CI 9.45–48.43)], and EAs on cEEG [OR 2.26 (95% CI 1.14–4.58)]. Interpretation Almost a third of patients with poststroke ASySs concerns may continue ASMs for the long term, including more than half started on them acutely. Admission to the NICU may lower the odds, and ASySs (convulsive or electrographic) and EAs on cEEG significantly increase the odds of long‐term ASM use.
Collapse
Affiliation(s)
- Vineet Punia
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Ryan Honomichl
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Pradeep Chandan
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Lisa Ellison
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Nicolas Thompson
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Adithya Sivaraju
- Comprehensive Epilepsy Center, Department of Neurology, Yale University, New Haven, Connecticut, USA
| | - Irene Katzan
- Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Cerebrovascular Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Pravin George
- Cerebrovascular Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Chris Newey
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Cerebrovascular Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Stephen Hantus
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| |
Collapse
|
15
|
Rossetti AO, Schindler K, Sutter R, Rüegg S, Zubler F, Novy J, Oddo M, Warpelin-Decrausaz L, Alvarez V. Continuous vs Routine Electroencephalogram in Critically Ill Adults With Altered Consciousness and No Recent Seizure: A Multicenter Randomized Clinical Trial. JAMA Neurol 2021; 77:1225-1232. [PMID: 32716479 PMCID: PMC7385681 DOI: 10.1001/jamaneurol.2020.2264] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Question In patients with acute consciousness impairment and no recent seizures, does continuous electroencephalogram (cEEG) correlate with reduced mortality compared with repeated routine EEG (rEEG)? Findings In this pragmatic, multicenter randomized clinical trial analyzing 364 adults, cEEG translated into a higher rate of seizures/status epilepticus detection and antiseizure treatment modifications but did not improve mortality compared with rEEG. Meaning Pending larger studies, rEEG may represent a valid alternative to cEEG in centers with limited resources. Importance In critically ill patients with altered consciousness, continuous electroencephalogram (cEEG) improves seizure detection, but is resource-consuming compared with routine EEG (rEEG). It is also uncertain whether cEEG has an effect on outcome. Objective To assess whether cEEG is associated with reduced mortality compared with rEEG. Design, Setting, and Participants The pragmatic multicenter Continuous EEG Randomized Trial in Adults (CERTA) was conducted between 2017 and 2018, with follow-up of 6 months. Outcomes were assessed by interviewers blinded to interventions.The study took place at 4 tertiary hospitals in Switzerland (intensive and intermediate care units). Depending on investigators’ availability, we pragmatically recruited critically ill adults having Glasgow Coma Scale scores of 11 or less or Full Outline of Responsiveness score of 12 or less, without recent seizures or status epilepticus. They had cerebral (eg, brain trauma, cardiac arrest, hemorrhage, or stroke) or noncerebral conditions (eg, toxic-metabolic or unknown etiology), and EEG was requested as part of standard care. An independent physician provided emergency informed consent. Interventions Participants were randomized 1:1 to cEEG for 30 to 48 hours vs 2 rEEGs (20 minutes each), interpreted according to standardized American Clinical Neurophysiology Society guidelines. Main Outcomes and Measures Mortality at 6 months represented the primary outcome. Secondary outcomes included interictal and ictal features detection and change in therapy. Results We analyzed 364 patients (33% women; mean [SD] age, 63 [15] years). At 6 months, mortality was 89 of 182 in those with cEEG and 88 of 182 in those with rEEG (adjusted relative risk [RR], 1.02; 95% CI, 0.83-1.26; P = .85). Exploratory comparisons within subgroups stratifying patients according to age, premorbid disability, comorbidities on admission, deeper consciousness reduction, and underlying diagnoses revealed no significant effect modification. Continuous EEG was associated with increased detection of interictal features and seizures (adjusted RR, 1.26; 95% CI, 1.08-1.15; P = .004 and 3.37; 95% CI, 1.63-7.00; P = .001, respectively) and more frequent adaptations in antiseizure therapy (RR, 1.84; 95% CI, 1.12-3.00; P = .01). Conclusions and Relevance This pragmatic trial shows that in critically ill adults with impaired consciousness and no recent seizure, cEEG leads to increased seizure detection and modification of antiseizure treatment but is not related to improved outcome compared with repeated rEEG. Pending larger studies, rEEG may represent a valid alternative to cEEG in centers with limited resources. Trial Registration ClinicalTrials.gov Identifier: NCT03129438
Collapse
Affiliation(s)
- Andrea O Rossetti
- Department of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Kaspar Schindler
- Sleep-Wake-Epilepsy-Center, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Raoul Sutter
- Clinic for Intensive Care Medicine, University Hospital Basel and University of Basel, Basel, Switzerland.,Department of Neurology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stephan Rüegg
- Department of Neurology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Frédéric Zubler
- Sleep-Wake-Epilepsy-Center, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Jan Novy
- Department of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Mauro Oddo
- Department of Intensive Care Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Loane Warpelin-Decrausaz
- Clinical Trial Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Vincent Alvarez
- Department of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.,Department of Neurology, Hôpital du Valais, Sion, Switzerland
| |
Collapse
|
16
|
Abstract
INTRODUCTION Evidence for continuous EEG monitoring in the pediatric intensive care unit (PICU) is increasing. However, 24/7 access to EEG is not routinely available in most centers, and clinical management is often informed by more limited EEG resources. The experience of EEG was reviewed in a tertiary PICU where 24/7 EEG cover is unavailable. METHODS Retrospective EEG and clinical review of 108 PICU patients. Correlations were carried out between EEG and clinical variables including mortality. The role of EEG in clinical decision making was documented. RESULTS One hundred ninety-six EEGs were carried out in 108 PICU patients over 2.5 years (434 hours of recording). After exclusion of 1 outlying patient with epileptic encephalopathy, 136 EEGs (median duration, 65 minutes; range, 20 minutes to 4 hours 40 minutes) were included. Sixty-two patients (57%) were less than 12 months old. Seizures were detected in 18 of 107 patients (17%); 74% of seizures were subclinical; 72% occurred within the first 30 minutes of recording. Adverse EEG findings were associated with high mortality. Antiepileptic drug use was high in the studied population irrespective of EEG seizure detection. Prevalence of epileptiform discharges and EEG seizures diminished with increasing levels of sedation. CONCLUSIONS EEG provides important diagnostic information in a large proportion of PICU patients. In the absence of 24/7 EEG availability, empirical antiepileptic drug utilization is high.
Collapse
|
17
|
Abstract
Continuous video-EEG (cEEG, lasting hours to several days) is increasingly used in ICU patients, as it is more sensitive than routine video-EEG (rEEG, lasting 20-30 min) to detect seizures or status epilepticus, and allows more frequent changes in therapeutic regimens. However, cEEG is more resource-consuming, and its relationship to outcome compared to repeated rEEG has only been formally assessed very recently in a randomized controlled trial, which did not show any significant difference in terms of long-term mortality or functional outcome. Awaiting more refined trials, it seems therefore that using repeated rEEG in ICU patients may represent a reasonable alternative in resource-limited settings. Prolonged EEG has been used recently in patients with severe COVID-19 infection, the proportion of seizures seems albeit relatively low, and similar to ICU patients with medical conditions. As in any case a timely EEG recording is recommended in the ICU, r ecent technical developments may ease its use in clinical practice.
Collapse
Affiliation(s)
- Andrea O Rossetti
- Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland -
| | - Jong W Lee
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
18
|
Gaspard N, Westover MB, Hirsch LJ. Assessment of a Study of Continuous vs Repeat-Spot Electroencephalography in Patients With Critical Illness. JAMA Neurol 2021; 78:369. [PMID: 33523103 DOI: 10.1001/jamaneurol.2020.5348] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Nicolas Gaspard
- Service de Neurologie, Université Libre de Bruxelles-Hôpital Erasme, Bruxelles, Belgium.,Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | | | - Lawrence J Hirsch
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| |
Collapse
|
19
|
Holm‐Yildiz S, Richter Hansen J, Thonon V, Beniczky S, Fabricius M, Sidaros A, Kondziella D. Does continuous electroencephalography influence therapeutic decisions in neurocritical care? Acta Neurol Scand 2021; 143:290-297. [PMID: 33091148 DOI: 10.1111/ane.13364] [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: 02/04/2020] [Revised: 03/23/2020] [Accepted: 10/06/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES In the neurocritical care unit (neuro-ICU), the impact of continuous EEG (cEEG) on therapeutic decisions and prognostication, including outcome prediction using the Status Epilepticus Severity Score (STESS), is poorly investigated. We studied to what extent cEEG contributes to treatment decisions, and how this relates to clinical outcome and the use of STESS in neurocritical care. METHODS We included patients admitted to the neuro-ICU or neurological step-down unit of a tertiary referral hospital between 05/2013 and 06/2015. Inclusion criteria were ≥20 h of cEEG monitoring and age ≥15 years. Exclusion criteria were primary epileptic and post-cardiac arrest encephalopathies. RESULTS Ninety-eight patients met inclusion criteria, 80 of which had status epilepticus, including 14 with super-refractory status. Median length of cEEG monitoring was 50 h (range 21-374 h). Mean STESS was lower in patients with favorable outcome 1 year after discharge (modified Rankin Scale [mRS] 0-2) compared to patients with unfavorable outcome (mRS 3-6), albeit not statistically significant (mean STESS 2.3 ± 2.1 vs 3.6 ± 1.7, p = 0.09). STESS had a sensitivity of 80%, a specificity of 42%, and a negative predictive value of 93% for outcome. cEEG results changed treatment decisions in 76 patients, including escalation of antiepileptic treatment in 65 and reduction in 11 patients. CONCLUSION Status Epilepticus Severity Score had a high negative predictive value but low sensitivity, suggesting that STESS should be used cautiously. Of note, cEEG results altered clinical decision-making in three of four patients, irrespective of the presence or absence of status epilepticus, confirming the clinical value of cEEG in neurocritical care.
Collapse
Affiliation(s)
- Sonja Holm‐Yildiz
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Julie Richter Hansen
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Vanessa Thonon
- Department of Clinical Neurophysiology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
- Department of Clinical Neurophysiology Vall d'Hebron University Hospital Barcelona Spain
| | - Sándor Beniczky
- Department of Clinical Neurophysiology Danish Epilepsy Centre Dianalund Denmark
- Aarhus University Hospital Aarhus Denmark
| | - Martin Fabricius
- Department of Clinical Neurophysiology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Annette Sidaros
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
- Department of Clinical Neurophysiology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
| | - Daniel Kondziella
- Department of Neurology Rigshospitalet Copenhagen University Hospital Copenhagen Denmark
- Faculty of Health and Medical Science Copenhagen University Copenhagen Denmark
| |
Collapse
|
20
|
Antiepileptic Drug Management in Acute Ischemic Stroke: Are Vascular Neurologists Utilizing Electroencephalograms? An Observational Cohort Study. BIOMED RESEARCH INTERNATIONAL 2020; 2020:6250531. [PMID: 33415150 PMCID: PMC7769647 DOI: 10.1155/2020/6250531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 11/26/2020] [Accepted: 12/12/2020] [Indexed: 12/14/2022]
Abstract
Introduction This study examines the utility of electroencephalography (EEG) in clinical decision making in acute ischemic stroke (AIS) patients in regards to the prescription of antiseizure medications. Methods Patients were grouped as having positive EEG (+) for epileptiform activity or negative EEG (-). These studies were no more than 30 minutes in length. Patients' charts were retrospectively reviewed for antiepileptic drug (AED) use before, during, and on discharge from AIS hospitalization. Results Of the 509 patients meeting inclusion criteria, 24 (4.7%) had a positive EEG. Patients did not significantly differ with respect to any demographic or baseline characteristics with the exception of prior history of seizure. In the EEG- group, AEDs were discontinued in only 3.5% of patients. In the EEG+ group, only 37.5% of patients had an initiation or change to their AED regimen within 36 hours of the study. 62.5% of the EEG+ group had a cortical stroke. Significance. Our results indicate that vascular neurologists are not using spot EEGs to routinely guide inpatient AED management. EEGs may have greater utility in those with a prior history of seizures and cortical strokes. Longer or continuous EEG monitoring may have better utility in the AIS population if there is clinical suspicion of seizure.
Collapse
|
21
|
EEG Availability in the Intensive Care Setting: A Multicentre Study. Neurocrit Care 2020; 34:287-290. [PMID: 33037586 DOI: 10.1007/s12028-020-01117-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 09/14/2020] [Indexed: 11/27/2022]
|
22
|
De Stefano P, Carboni M, Pugin D, Seeck M, Vulliémoz S. Brain networks involved in generalized periodic discharges (GPD) in post-anoxic-ischemic encephalopathy. Resuscitation 2020; 155:143-151. [PMID: 32795598 DOI: 10.1016/j.resuscitation.2020.07.030] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 07/16/2020] [Accepted: 07/28/2020] [Indexed: 10/23/2022]
Abstract
AIM Generalized periodic discharge (GPD) is an EEG pattern of poor neurological outcome, frequently observed in comatose patients after cardiac arrest. The aim of our study was to identify the neuronal network generating ≤2.5 Hz GPD using EEG source localization and connectivity analysis. METHODS We analyzed 40 comatose adult patients with anoxic-ischemic encephalopathy, who had 19 channel-EEG recording. We computed electric source analysis based on distributed inverse solution (LAURA) and we estimated cortical activity in 82 atlas-based cortical brain regions. We applied directed connectivity analysis (Partial Directed Coherence) on these sources to estimate the main drivers. RESULTS Source analysis suggested that the GPD are generated in the cortex of the limbic system in the majority of patients (87.5%). Connectivity analysis revealed main drivers located in thalamus and hippocampus for the large majority of patients (80%), together with important activation also in amygdala (70%). CONCLUSIONS We hypothesize that the anoxic-ischemic dysfunction, leading to hyperactivity of the thalamo-cortical (limbic presumably) circuit, can result in an oscillatory thalamic activity capable of inducing periodic cortical (limbic, mostly medial-temporal and orbitofrontal) discharges, similarly to the case of generalized rhythmic spike-wave discharge in convulsive or non-convulsive status epilepticus.
Collapse
Affiliation(s)
- Pia De Stefano
- EEG & Epilepsy Unit, Neurology Clinic, Department of Clinical Neurosciences, Geneva University Hospitals, 4, Rue Gabrielle Perret-Gentil, 1205 Geneva, Switzerland.
| | - Margherita Carboni
- EEG & Epilepsy Unit, Neurology Clinic, Department of Clinical Neurosciences, Geneva University Hospitals, 4, Rue Gabrielle Perret-Gentil, 1205 Geneva, Switzerland; Functional Brain Mapping Lab, Department of Fundamental Neurosciences, University of Geneva, 9, Chemin des Mines, 1202 Geneva, Switzerland
| | - Deborah Pugin
- Neuro-Intensive Care Unit, Intensive Care Department, University Hospital and Faculty of Medicine of Geneva, 4, Rue Gabrielle Perret-Gentil, 1205 Geneva, Switzerland
| | - Margitta Seeck
- EEG & Epilepsy Unit, Neurology Clinic, Department of Clinical Neurosciences, Geneva University Hospitals, 4, Rue Gabrielle Perret-Gentil, 1205 Geneva, Switzerland
| | - Serge Vulliémoz
- EEG & Epilepsy Unit, Neurology Clinic, Department of Clinical Neurosciences, Geneva University Hospitals, 4, Rue Gabrielle Perret-Gentil, 1205 Geneva, Switzerland
| |
Collapse
|
23
|
Katyal N, Singh I, Narula N, Idiculla PS, Premkumar K, Beary JM, Nattanmai P, Newey CR. Continuous Electroencephalography (CEEG) in Neurological Critical Care Units (NCCU): A Review. Clin Neurol Neurosurg 2020; 198:106145. [PMID: 32823186 DOI: 10.1016/j.clineuro.2020.106145] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/20/2020] [Accepted: 08/07/2020] [Indexed: 12/17/2022]
Affiliation(s)
- Nakul Katyal
- University of Missouri, Department of Neurology, 5 Hospital Drive, CE 540, United States.
| | - Ishpreet Singh
- University of Missouri, Department of Neurology, 5 Hospital Drive, CE 540, United States.
| | - Naureen Narula
- Staten Island University Hospital, Department of Pulmonary- critical Care Medicine, 475 Seaview Avenue Staten Island, NY, 10305, United States.
| | - Pretty Sara Idiculla
- University of Missouri, Department of Neurology, 5 Hospital Drive, CE 540, United States.
| | - Keerthivaas Premkumar
- University of Missouri, Department of biological sciences, Columbia, MO 65211, United States.
| | - Jonathan M Beary
- A. T. Still University, Department of Neurobehavioral Sciences, Kirksville, MO, United States.
| | - Premkumar Nattanmai
- University of Missouri, Department of Neurology, 5 Hospital Drive, CE 540, United States.
| | - Christopher R Newey
- Cleveland clinic Cerebrovascular center, 9500 Euclid Avenue, Cleveland, OH 44195, United States.
| |
Collapse
|
24
|
Zafar SF, Subramaniam T, Osman G, Herlopian A, Struck AF. Electrographic seizures and ictal-interictal continuum (IIC) patterns in critically ill patients. Epilepsy Behav 2020; 106:107037. [PMID: 32222672 DOI: 10.1016/j.yebeh.2020.107037] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 03/07/2020] [Accepted: 03/07/2020] [Indexed: 02/06/2023]
Abstract
Critical care long-term continuous electroencephalogram (cEEG) monitoring has expanded dramatically in the last several decades spurned by technological advances in EEG digitalization and several key clinical findings: 1-Seizures are relatively common in the critically ill-large recent observational studies suggest that around 20% of critically ill patients placed on cEEG have seizures. 2-The majority (~75%) of patients who have seizures have exclusively "electrographic seizures", that is, they have no overt ictal clinical signs. Along with the discovery of the unexpectedly high incidence of seizures was the high prevalence of EEG patterns that share some common features with archetypical electrographic seizures but are not uniformly considered to be "ictal". These EEG patterns include lateralized periodic discharges (LPDs) and generalized periodic discharges (GPDs)-patterns that at times exhibit ictal-like behavior and at other times behave more like an interictal finding. Dr. Hirsch and colleagues proposed a conceptual framework to describe this spectrum of patterns called the ictal-interictal continuum (IIC). In the following years, investigators began to answer some of the key pragmatic clinical concerns such as which patients are at risk of seizures and what is the optimal duration of cEEG use. At the same time, investigators have begun probing the core questions for critical care EEG-what is the underlying pathophysiology of these patterns, at what point do these patterns cause secondary brain injury, what are the optimal treatment strategies, and how do these patterns affect clinical outcomes such as neurological disability and the development of epilepsy. In this review, we cover recent advancements in both practical concerns regarding cEEG use, current treatment strategies, and review the evidence associating IIC/seizures with poor clinical outcomes.
Collapse
Affiliation(s)
- Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States of America
| | - Thanujaa Subramaniam
- Department of Neurology, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Gamaleldin Osman
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States of America
| | - Aline Herlopian
- Department of Neurology, Yale University, New Haven, CT, United States of America
| | - Aaron F Struck
- Department of Neurology, University of Wisconsin-Madison, Madison, WI, United States of America.
| |
Collapse
|
25
|
Punia V, Chandan P, Fesler J, Newey CR, Hantus S. Post-acute symptomatic seizure (PASS) clinic: A continuity of care model for patients impacted by continuous EEG monitoring. Epilepsia Open 2020; 5:255-262. [PMID: 32524051 PMCID: PMC7278542 DOI: 10.1002/epi4.12393] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 03/15/2020] [Accepted: 03/26/2020] [Indexed: 12/31/2022] Open
Abstract
Objective We present a model for the outpatient care of patients undergoing continuous electroencephalography (cEEG) monitoring during a hospitalization, named the post‐acute symptomatic seizure (PASS) clinic. We investigated whether establishing this clinic led to improved access to epileptologist care. Methods As part of the PASS clinic initiative, electronic health record (EHR) provides an automated alert to the inpatient care team discharging adults on first time antiepileptic drug (AED) after undergoing cEEG monitoring. The alert explains the rationale and facilitates scheduling for a PASS clinic appointment, three‐month after discharge, along with a same‐day extended (75 minutes) EEG. We compared the initial epilepsy clinic visits by patients undergoing cEEG in 2017, before (“Pre‐PASS” period and cohort) and after (“PASS” period and cohort) the alert went live in the EHR. Results Of the 170 patients included, 68 (40%) suffered a seizure during the mean follow‐up of 20.9 ± 10 months. AEDs were stopped or reduced in 66 out of 148 (44.6%) patients discharged on AEDs. Pre‐PASS cohort included 45 patients compared to 145 patients in the PASS cohort, accounting for 5.8% and 9.9% of patients, respectively, who underwent cEEG during the corresponding periods (odds ratio [OR] = 1.8, 95% CI = 1.26‐2.54, P = .001). The two cohorts did not differ in terms of electrographic or clinical seizures. The PASS cohort was significantly more likely to be followed up within 1‐6 months of discharge (OR = 4.6, 95% CI = 2.1‐10.1, P < .001) and have a pre‐clinic EEG (51.2% vs 11.1%; OR = 8.39, 95% CI = 3.1‐22.67, P < .001). Significance PASS clinic, a unique outpatient transition of care model for managing patients at risk of acute symptomatic seizure led to an almost twofold increase in access to an epileptologist. Future research should address the wide knowledge gap about the best post‐hospital discharge management practices for these patients.
Collapse
Affiliation(s)
- Vineet Punia
- Epilepsy Center Neurological Institute Cleveland Clinic Cleveland OH USA
| | - Pradeep Chandan
- Epilepsy Center Neurological Institute Cleveland Clinic Cleveland OH USA
| | - Jessica Fesler
- Epilepsy Center Neurological Institute Cleveland Clinic Cleveland OH USA
| | - Christopher R Newey
- Epilepsy Center Neurological Institute Cleveland Clinic Cleveland OH USA.,Cerebrovascular Center Neurological Institute Cleveland Clinic Cleveland OH USA.,Center for Clinical Artificial Intelligence Cleveland Clinic Cleveland OH USA
| | - Stephen Hantus
- Epilepsy Center Neurological Institute Cleveland Clinic Cleveland OH USA
| |
Collapse
|
26
|
Current Status of Continuous Electroencephalographic Monitoring in Critically Ill Children. Pediatr Neurol 2019; 101:11-17. [PMID: 31493974 DOI: 10.1016/j.pediatrneurol.2019.07.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 06/13/2019] [Accepted: 07/26/2019] [Indexed: 11/21/2022]
Abstract
The utilization of continuous electroencephalographic monitoring in critical care units has increased significantly, and several consensus statements and guidelines have been published. The use of critical care electroencephalographic monitoring has become a standard of care in many centers in the United States and other countries. The most common indication is to detect electrographic seizures and status epilepticus. Other indications include monitoring treatment efficacy in patients with electrographic seizures and status epilepticus, evaluating the degree of disturbance of function in patients with encephalopathy, monitoring brain function in patients treated with sedation and neuromuscular blocking agents, and event characterization. The urgent initiation of critical care electroencephalographic monitoring is recommended in certain clinical populations, but varies among institutions. The consensus among neurologists is to start treatment after identifying electrographic seizures or electrographic status epilepticus with or without clinical signs. However, the optimal treatment of nonconvulsive and electrographic-only seizures remains controversial. Critical care electroencephalographic monitoring has significant impact on clinical management, but there is lack of clear evidence that treatment guided by critical care electroencephalographic monitoring leads to improvement of clinical and neurodevelopmental outcome. There are substantial discrepancies among institutions on personnel and technical support used for critical care electroencephalographic monitoring. The optimal critical care electroencephalographic monitoring team should include electroencephalographers with experience in critical care electroencephalographic monitoring interpretation and appropriately trained technologists certified in electroencephalography by the American Board of Registration of Electroencephalographic and Evoked Potential Technologists specializing in critical care electroencephalographic monitoring or long-term monitoring.
Collapse
|
27
|
Punia V, Fitzgerald Z, Zhang X, Huynh H, Bena J, Morrison S, Newey CR, Hantus S. Electroencephalographic biomarkers of epilepsy development in patients with acute brain injury: a matched, parallel cohort study. Ann Clin Transl Neurol 2019; 6:2230-2239. [PMID: 31657134 PMCID: PMC6856614 DOI: 10.1002/acn3.50925] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 09/18/2019] [Accepted: 09/18/2019] [Indexed: 12/13/2022] Open
Abstract
Objective This study was designed to investigate if highly epileptic electroencephalogram (EEG) findings in patients with acute brain injury increase the long‐term risk of epilepsy development. Methods Adults patients, lacking epilepsy history, with electrographic seizures or lateralized periodic discharges (LPDs) (cases) were identified and matched based on age, mental status, and etiology with the ones lacking any epileptiform activity (controls) on continuous EEG (cEEG) during hospitalization. The primary outcome of clinical seizures after hospital discharge and their antiepileptic drug (AED) status was determined using a telephonic interview. Logistic regression models using generalized estimating equations to account for the matched nature of the data were performed. Results A total of 70 cases [16 (22.9%) “LPDs only,” 34 (48.6%) “electrographic seizure only,” and 20 (28.6%) “both”] and controls were enrolled. A total of 22 (31.4%) cases developed epilepsy after a mean follow‐up duration of 20.6 ± 5.0 months compared to three (4.3%) controls. After adjusting for cEEG indication and follow‐up duration, the odds of cases developing epilepsy were almost 15 times higher compared to the controls (OR = 14.8, 95% CI = 2.4–92.3, P = 0.004). This elevated risk was despite a 10 times higher likelihood of cases to be taking AEDs at the last follow‐up (OR = 10.34, 95% CI = 3.7–29, P < 0.001). Interpretation Highly epileptic EEG findings in patients with acute brain injury may serve as prognostic biomarkers of epilepsy development. Although prospective studies are required to confirm our findings, it seems that with epilepsy developing in almost one‐third cases in less than 2‐year follow‐up period, such patients may potentially be ideal candidates for epilepsy prevention clinical trials.
Collapse
Affiliation(s)
- Vineet Punia
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106
| | - Zachary Fitzgerald
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106
| | - Xiaoming Zhang
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106
| | - Huan Huynh
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106
| | - James Bena
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44106
| | - Shannon Morrison
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44106
| | - Christopher R Newey
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106.,Neurocritical Care, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106
| | - Stephen Hantus
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, 44106
| |
Collapse
|
28
|
Prisco L, Ganau M, Aurangzeb S, Moswela O, Hallett C, Raby S, Fitzgibbon K, Kearns C, Sen A. A pragmatic approach to intravenous anaesthetics and electroencephalographic endpoints for the treatment of refractory and super-refractory status epilepticus in critical care. Seizure 2019; 75:153-164. [PMID: 31623937 DOI: 10.1016/j.seizure.2019.09.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 09/23/2019] [Indexed: 12/13/2022] Open
Abstract
Status epilepticus is a common neurological emergency, with overall mortality around 20%. Over half of cases are first time presentations of seizures. The pathological process by which spontaneous seizures are generated arises from an imbalance in excitatory and inhibitory neuronal networks, which if unchecked, can result in alterations in intracellular signalling pathways and electrolyte shifts, which bring about changes in the blood brain barrier, neuronal cell death and eventually cerebral atrophy. This narrative review focusses on the treatment of status epilepticus in adults. Anaesthetic agents interrupt neuronal activity by enhancing inhibitory or decreasing excitatory transmission, primarily via GABA and NMDA receptors. Intravenous anaesthetic agents are commonly used as second or third line drugs in the treatment of refractory status epilepticus, but the optimal timing and choice of anaesthetic drug has not yet been established by high quality evidence. Titration of antiepileptic and anaesthetic drugs in critically ill patients presents a particular challenge, due to alterations in drug absorbtion and metabolism as well as changes in drug distrubution, which arise from fluid shifts and altered protein binding. Furthermore, side effects associated with prolonged infusions of anaesthetic drugs can lead to multi-organ dysfunction and a need for critical care support. Electroencelography can identify patterns of burst suppression, which may be a target to guide weaning of intravenous therapy. Continuous elctroencephalography has the potential to directly impact clinical care, but despite its utility, major barriers exist which have limited its widespread use in clinical practice. A flow chart outlining the timing and dosage of anaesthetic agents used at our institution is provided.
Collapse
Affiliation(s)
- Lara Prisco
- Neurosciences Intensive Care Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Anaesthesia Neuroimaging Research Group, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Oxford Epilepsy Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
| | - Mario Ganau
- Department of Neurosurgery, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Sidra Aurangzeb
- Oxford Epilepsy Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Department of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Department of Clinical Neurophysiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Olivia Moswela
- Pharmacy Department, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Claire Hallett
- Pharmacy Department, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Simon Raby
- Neurosciences Intensive Care Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Karina Fitzgibbon
- Neurosciences Intensive Care Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Christopher Kearns
- Neurosciences Intensive Care Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Arjune Sen
- Oxford Epilepsy Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Department of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| |
Collapse
|
29
|
Ghasemi M, Azeem MU, Muehlschlegel S, Chu F, Henninger N. Prescription patterns for routine EEG ordering in patients with intracranial hemorrhage admitted to a neurointensive care unit. J Crit Care 2019; 50:262-268. [PMID: 30660914 DOI: 10.1016/j.jcrc.2019.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 12/29/2018] [Accepted: 01/10/2019] [Indexed: 12/21/2022]
Abstract
PURPOSE To examine clinical factors, including established electroencephalography (EEG) consensus recommendations, that may influence EEG-prescription in critically-ill intracerebral hemorrhage (ICH) patients in the neurointensive care unit. METHODS Retrospective analysis of 330 ICH patients admitted to a neurointensive care unit at an academic medical center between 01/2013-12/2015. We compared EEG prescription patterns with current EEG consensus recommendations, and employed univariate and multivariable logistic regression modeling to determine clinical variables associated with EEG ordering. RESULTS Seventy-eight (41%) of 190 subjects underwent EEG in accordance with EEG-consensus guidelines, demonstrating an overall accuracy (probability that EEG prescription aligned with EEG consensus recommendations) of 64.6% (95%-CI59.1-69.7). Factors independently associated with EEG ordering included fulfillment of EEG consensus recommendations, lower admission Glasgow Coma Scale (GCS), and presence of clinical seizures. The unadjusted and adjusted C-statistics for fulfillment of consensus recommendations was 0.74 (95%-CI 0.69-0.80) and 0.85 (95%-CI 0.81-0.90), respectively. Among 83 subjects undergoing EEG (25.2%), EEG findings informed clinical decision-making in 50 patients (60%). CONCLUSIONS EEG appeared underused in ICH, since <50% of patients who fulfilled guideline criteria underwent EEG. Prescription of EEG was related to factors beyond those included in consensus recommendations. Validation of our findings and their association with outcome is required.
Collapse
Affiliation(s)
- Mehdi Ghasemi
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Muhammad Umer Azeem
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Susanne Muehlschlegel
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA; Department of Surgery, University of Massachusetts Medical School, Worcester, MA 01655, USA; Department of Anesthesia and Critical Care, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Felicia Chu
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Nils Henninger
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA; Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA 01655, USA.
| |
Collapse
|
30
|
Rumalla K, Smith KA, Letchuman V, Gandham M, Kombathula R, Arnold PM. Nationwide incidence and risk factors for posttraumatic seizures in children with traumatic brain injury. J Neurosurg Pediatr 2018; 22:684-693. [PMID: 30239282 DOI: 10.3171/2018.6.peds1813] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 06/25/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVEPosttraumatic seizures (PTSs) are the most common complication following a traumatic brain injury (TBI) and may lead to posttraumatic epilepsy. PTS is well described in the adult literature but has not been studied extensively in children. Here, the authors utilized the largest nationwide registry of pediatric hospitalizations to report the national incidence, risk factors, and outcomes associated with PTS in pediatric TBI.METHODSThe authors queried the Kids' Inpatient Database (KID) using ICD-9-CM codes to identify all patients (age < 21 years) who had a primary diagnosis of TBI (850.xx-854.xx) and a secondary diagnosis of PTS (780.33, 780.39). Parameters of interest included patient demographics, preexisting comorbidities, hospital characteristics, nature of injury (open/closed), injury type (concussion, laceration/contusion, subarachnoid hemorrhage, subdural hematoma, or epidural hematoma), loss of consciousness (LOC), surgical management (Clinical Classification Software code 1 or 2), discharge disposition, in-hospital complications, and in-hospital mortality. The authors utilized the IBM SPSS statistical package (version 24) for univariate comparisons, as well as the identification of independent risk factors for PTS in multivariable analysis (alpha set at < 0.05).RESULTSThe rate of PTS was 6.9% among 124,444 unique patients hospitalized for TBI. The utilization rate of continuous electroencephalography (cEEG) was 0.3% and increased between 2003 (0.1%) and 2012 (0.7%). The most common etiologies of TBI were motor vehicle accident (n = 50,615), accidental fall (n = 30,847), and blunt trauma (n = 13,831). However, the groups with the highest rate of PTS were shaken infant syndrome (41.4%), accidental falls (8.1%), and cycling accidents (7.4%). In multivariable analysis, risk factors for PTS included age 0-5 years (compared with 6-10, 11-15, and 16-20 years), African American race (OR 1.4), ≥ 3 preexisting comorbidities (OR 4.0), shaken infant syndrome (OR 4.4), subdural hematoma (OR 1.6), closed-type injury (OR 2.3), brief LOC (OR 1.4), moderate LOC (OR 1.5), and prolonged LOC with baseline return (OR 1.8). Surgically managed patients were more likely to experience PTS (OR 1.5) unless they were treated within 24 hours of admission (OR 0.8). PTS was associated with an increased likelihood of in-hospital complications (OR 1.7) and adverse (nonroutine) discharge disposition (OR 1.2), but not in-hospital mortality (OR 0.5). The overall utilization rate of cEEG was 1.3% in PTS patients compared with 0.2% in patients without PTS. Continuous EEG monitoring was associated with higher rates of diagnosed PTS (35.4% vs 6.8%; OR 4.9, p < 0.001).CONCLUSIONSPTS is common in children with TBI and is associated with adverse outcomes. Independent risk factors for PTS include younger age (< 5 years), African American race, increased preexisting comorbidity, prolonged LOC, and injury pattern involving cortical exposure to blood products. However, patients who undergo urgent surgical evacuation are less likely to develop PTS.
Collapse
Affiliation(s)
- Kavelin Rumalla
- 1School of Medicine, University of Missouri-Kansas City, Missouri; and
| | - Kyle A Smith
- 2Department of Neurosurgery, University of Kansas Medical Center, Kansas City, Kansas
| | - Vijay Letchuman
- 1School of Medicine, University of Missouri-Kansas City, Missouri; and
| | - Mrudula Gandham
- 1School of Medicine, University of Missouri-Kansas City, Missouri; and
| | | | - Paul M Arnold
- 2Department of Neurosurgery, University of Kansas Medical Center, Kansas City, Kansas
| |
Collapse
|
31
|
Hill CE, Blank LJ, Thibault D, Davis KA, Dahodwala N, Litt B, Willis AW. Continuous EEG is associated with favorable hospitalization outcomes for critically ill patients. Neurology 2018; 92:e9-e18. [PMID: 30504428 DOI: 10.1212/wnl.0000000000006689] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 08/29/2018] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE To characterize continuous EEG (cEEG) use patterns in the critically ill and to determine the association with hospitalization outcomes for specific diagnoses. METHODS We performed a retrospective cross-sectional study with National Inpatient Sample data from 2004 to 2013. We sampled hospitalized adult patients who received intensive care and then compared patients who underwent cEEG to those who did not. We considered diagnostic subgroups of seizure/status epilepticus, subarachnoid or intracerebral hemorrhage, and altered consciousness. Outcomes were in-hospital mortality, hospitalization cost, and length of stay. RESULTS In total, 7,102,399 critically ill patients were identified, of whom 22,728 received cEEG. From 2004 to 2013, the proportion of patients who received cEEG increased from 0.06% (95% confidence interval [CI] 0.03%-0.09%) to 0.80% (95% CI 0.62%-0.98%). While the cEEG cohort appeared more ill, cEEG use was associated with reduced in-hospital mortality after adjustment for patient and hospital characteristics (odds ratio [OR] 0.83, 95% CI 0.75-0.93, p < 0.001). This finding held for the diagnoses of subarachnoid or intracerebral hemorrhage and for altered consciousness but not for the seizure/status epilepticus subgroup. Cost and length of hospitalization were increased for the cEEG cohort (OR 1.17 and OR 1.11, respectively, p < 0.001). CONCLUSIONS There was a >10-fold increase in cEEG use from 2004 to 2013. However, this procedure may still be underused; cEEG was associated with lower in-hospital mortality but used for only 0.3% of the critically ill population. While administrative claims analysis supports the utility of cEEG for critically ill patients, our findings suggest variable benefit by diagnosis, and investigation with greater clinical detail is warranted.
Collapse
Affiliation(s)
- Chloe E Hill
- From the Department of Neurology (C.E.H., L.J.B., D.T., K.A.D., N.D., B.L., A.W.W.), Leonard Davis Institute of Health Economics (C.E.H., N.D., A.W.W.), Translational Center of Excellence for Neurology Outcomes Research, Department of Neurology (D.T., A.W.W.), and Department of Biostatistics, Epidemiology and Informatics (A.W.W.), University of Pennsylvania, Philadelphia.
| | - Leah J Blank
- From the Department of Neurology (C.E.H., L.J.B., D.T., K.A.D., N.D., B.L., A.W.W.), Leonard Davis Institute of Health Economics (C.E.H., N.D., A.W.W.), Translational Center of Excellence for Neurology Outcomes Research, Department of Neurology (D.T., A.W.W.), and Department of Biostatistics, Epidemiology and Informatics (A.W.W.), University of Pennsylvania, Philadelphia
| | - Dylan Thibault
- From the Department of Neurology (C.E.H., L.J.B., D.T., K.A.D., N.D., B.L., A.W.W.), Leonard Davis Institute of Health Economics (C.E.H., N.D., A.W.W.), Translational Center of Excellence for Neurology Outcomes Research, Department of Neurology (D.T., A.W.W.), and Department of Biostatistics, Epidemiology and Informatics (A.W.W.), University of Pennsylvania, Philadelphia
| | - Kathryn A Davis
- From the Department of Neurology (C.E.H., L.J.B., D.T., K.A.D., N.D., B.L., A.W.W.), Leonard Davis Institute of Health Economics (C.E.H., N.D., A.W.W.), Translational Center of Excellence for Neurology Outcomes Research, Department of Neurology (D.T., A.W.W.), and Department of Biostatistics, Epidemiology and Informatics (A.W.W.), University of Pennsylvania, Philadelphia
| | - Nabila Dahodwala
- From the Department of Neurology (C.E.H., L.J.B., D.T., K.A.D., N.D., B.L., A.W.W.), Leonard Davis Institute of Health Economics (C.E.H., N.D., A.W.W.), Translational Center of Excellence for Neurology Outcomes Research, Department of Neurology (D.T., A.W.W.), and Department of Biostatistics, Epidemiology and Informatics (A.W.W.), University of Pennsylvania, Philadelphia
| | - Brian Litt
- From the Department of Neurology (C.E.H., L.J.B., D.T., K.A.D., N.D., B.L., A.W.W.), Leonard Davis Institute of Health Economics (C.E.H., N.D., A.W.W.), Translational Center of Excellence for Neurology Outcomes Research, Department of Neurology (D.T., A.W.W.), and Department of Biostatistics, Epidemiology and Informatics (A.W.W.), University of Pennsylvania, Philadelphia
| | - Allison W Willis
- From the Department of Neurology (C.E.H., L.J.B., D.T., K.A.D., N.D., B.L., A.W.W.), Leonard Davis Institute of Health Economics (C.E.H., N.D., A.W.W.), Translational Center of Excellence for Neurology Outcomes Research, Department of Neurology (D.T., A.W.W.), and Department of Biostatistics, Epidemiology and Informatics (A.W.W.), University of Pennsylvania, Philadelphia
| |
Collapse
|
32
|
Zafar SF, Postma EN, Biswal S, Boyle EJ, Bechek S, O'Connor K, Shenoy A, Kim J, Shafi MS, Patel AB, Rosenthal ES, Westover MB. Effect of epileptiform abnormality burden on neurologic outcome and antiepileptic drug management after subarachnoid hemorrhage. Clin Neurophysiol 2018; 129:2219-2227. [PMID: 30212805 DOI: 10.1016/j.clinph.2018.08.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 07/29/2018] [Accepted: 08/21/2018] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To quantify the burden of epileptiform abnormalities (EAs) including seizures, periodic and rhythmic activity, and sporadic discharges in patients with aneurysmal subarachnoid hemorrhage (aSAH), and assess the effect of EA burden and treatment on outcomes. METHODS Retrospective analysis of 136 high-grade aSAH patients. EAs were defined using the American Clinical Neurophysiology Society nomenclature. Burden was defined as prevalence of <1%, 1-9%, 10-49%, 50-89%, and >90% for each 18-24 hour epoch. Our outcome measure was 3-month Glasgow Outcome Score. RESULTS 47.8% patients had EAs. After adjusting for clinical covariates EA burden on first day of recording and maximum daily burden were associated with worse outcomes. Patients with higher EA burden were more likely to be treated with anti-epileptic drugs (AEDs) beyond the standard prophylactic protocol. There was no difference in outcomes between patients continued on AEDs beyond standard prophylaxis compared to those who were not. CONCLUSIONS Higher burden of EAs in aSAH independently predicts worse outcome. Although nearly half of these patients received treatment, our data suggest current AED management practices may not influence outcome. SIGNIFICANCE EA burden predicts worse outcomes and may serve as a target for prospective interventional controlled studies to directly assess the impact of AEDs, and create evidence-based treatment protocols.
Collapse
Affiliation(s)
- Sahar F Zafar
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA.
| | - Eva N Postma
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Siddharth Biswal
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Emily J Boyle
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Sophia Bechek
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Kathryn O'Connor
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Apeksha Shenoy
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Jennifer Kim
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Mouhsin S Shafi
- Beth Israel Deaconess Medical Center, Department of Neurology, Boston, MA, USA
| | - Aman B Patel
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Eric S Rosenthal
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - M Brandon Westover
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| |
Collapse
|
33
|
Does Continuous Video-EEG in Patients With Altered Consciousness Improve Patient Outcome? Current Evidence and Randomized Controlled Trial Design. J Clin Neurophysiol 2018. [DOI: 10.1097/wnp.0000000000000467] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
|
34
|
Performance of Spectrogram-Based Seizure Identification of Adult EEGs by Critical Care Nurses and Neurophysiologists. J Clin Neurophysiol 2018; 34:359-364. [PMID: 27930420 DOI: 10.1097/wnp.0000000000000368] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
PURPOSE Continuous EEG screening using spectrograms or compressed spectral arrays (CSAs) by neurophysiologists has shorter review times with minimal loss of sensitivity for seizure detection when compared with visual analysis of raw EEG. Limited data are available on the performance characteristics of CSA-based seizure detection by neurocritical care nurses. METHODS This is a prospective cross-sectional study that was conducted in two academic neurocritical care units and involved 33 neurointensive care unit nurses and four neurophysiologists. RESULTS All nurses underwent a brief training session before testing. Forty two-hour CSA segments of continuous EEG were reviewed and rated for the presence of seizures. Two experienced clinical neurophysiologists masked to the CSA data performed conventional visual analysis of the raw EEG and served as the gold standard. The overall accuracy was 55.7% among nurses and 67.5% among neurophysiologists. Nurse seizure detection sensitivity was 73.8%, and the false-positive rate was 1-per-3.2 hours. Sensitivity and false-alarm rate for the neurophysiologists was 66.3% and 1-per-6.4 hours, respectively. Interrater agreement for seizure screening was fair for nurses (Gwet AC1 statistic: 43.4%) and neurophysiologists (AC1: 46.3%). CONCLUSIONS Training nurses to perform seizure screening utilizing continuous EEG CSA displays is feasible and associated with moderate sensitivity. Nurses and neurophysiologists had comparable sensitivities, but nurses had a higher false-positive rate. Further work is needed to improve sensitivity and reduce false-alarm rates.
Collapse
|
35
|
|
36
|
Abstract
Background Seizures are a considerable complication in critically ill patients. Their incidence is significantly high in neurosciences intensive care unit patients. Seizure prophylaxis with anti-epileptic drugs is a common practice in neurosciences intensive care unit. However, its utility in patients without clinical seizure, with an underlying neurological injury, is somewhat controversial. Body In this article, we have reviewed the evidence for seizure prophylaxis in commonly encountered neurological conditions in neurosciences intensive care unit and discussed the possible prognostic role of continuous electroencephalography monitoring in detecting early seizures in critically ill patients. Conclusion Based on the current evidence and guidelines, we have proposed a presumptive protocol for seizure prophylaxis in neurosciences intensive care unit. Patients with severe traumatic brain injury and possible subarachnoid hemorrhage seem to benefit with a short course of anti-epileptic drug. In patients with other neurological illnesses, the use of continuous electroencephalography would make sense rather than indiscriminately administering anti-epileptic drug.
Collapse
|
37
|
A Systematic Appraisal of Neurosurgical Seizure Prophylaxis: Guidance for Critical Care Management. J Neurosurg Anesthesiol 2017; 28:233-49. [PMID: 26192247 DOI: 10.1097/ana.0000000000000206] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Clinical decisions are often made in the presence of some uncertainty. Health care should be based on a combination of scientific evidence, clinical experience, economics, patient value judgments, and preferences. Seizures are not uncommon following brain injury, surgical trauma, hemorrhage, altered brain metabolism, hypoxia, or ischemic events. The impact of seizures in the immediate aftermath of injury may be a prolonged intensive care stay or compounding of the primary injury. The aim of brain injury management is to limit the consequences of the secondary damage. The original intention of seizure prophylaxis was to limit the incidence of early-onset seizures. However, clinical trials have been equivocal on this point, and there is concern about the adverse effects of antiepileptic drug therapy. This review of the literature raises concerns regarding the arbitrary division of seizures into early onset (7 d) and late onset (8 d and beyond). In many cases it would appear that seizures present within 24 hours of the injury or after 7 days, which would be outside of the scope of current seizure prophylaxis guidance. There also does not appear to be a pathophysiological reason to divide brain injury-related seizures into these timeframes. Therefore, a solution to the conundrum is to reevaluate current practice. Prophylaxis could be offered to those receiving intensive care for the primary brain injury, where the impact of seizure would be detrimental to the management of the brain injury, or other clinical judgments where prophylaxis is prudent. Neurosurgical seizure management can then focus attention on which agent has the best adverse effect profile and the duration of therapy. The evidence seems to support levetiracetam as the most appropriate agent. Although previous reviews have identified an increase cost associated with the use of levetiracetam, current cost comparisons with phenytoin demonstrate a marginal price differential. The aim of this review is to assimilate the applicable literature regarding seizure prophylaxis. The final guidance is a forum upon which further clinical research could evaluate a new seizure prophylaxis paradigm.
Collapse
|
38
|
Khawaja AM, Wang G, Cutter GR, Szaflarski JP. Continuous Electroencephalography (cEEG) Monitoring and Outcomes of Critically Ill Patients. Med Sci Monit 2017; 23:649-658. [PMID: 28160596 PMCID: PMC5304944 DOI: 10.12659/msm.900826] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Background It is not clear whether performing continuous EEG (cEEG) in critically ill patients during intensive care unit (ICU) treatment affects outcomes at discharge. Material/Methods We prospectively matched 234 patients who received cEEG (cases) by admission diagnosis and sex to 234 patients who did not receive cEEG (controls) and followed them until discharge. Patients admitted due to seizures were excluded. The primary measures of outcome were Glasgow Coma Scale at Discharge (GCSD) and disposition at discharge, and the secondary measures of outcome were AED modifications, Glasgow Outcomes Scale, and Modified-Rankin Scale. These outcomes were compared between the cases and controls. Results Some differences in primary outcome measures between the groups emerged on univariate analyses, but these differences were small and not significant after controlling for covariates. Cases had longer ICU stays (p=0.002) and lower admission GCS (p=0.01) but similar GCSD (p=0.10). Of the secondary outcome measures, the mean (SD) number of AED modifications for cases was 2.2±3.1 compared to 0.4±0.8 for controls (p<0.0001); 170 (72.6%) cases had at least 1 AED modification compared to only 56 (24.1%) of the controls (p<0.0001). Conclusions Performing cEEG did not improve discharge outcome but it significantly influenced AED prescription patterns. Further studies assessing long-term outcomes are needed to better define the role of cEEG in this patient population.
Collapse
Affiliation(s)
- Ayaz M Khawaja
- Department of Neurology, University of Alabama at Birmingham (UAB) Hospital, Birmingham, AL, USA.,Department of Neurology, Birmingham Veterans Affairs Medical Center, Birmingham, AL, USA
| | - Guoqiao Wang
- Department of Biostatistics, University of Alabama at Birmingham (UAB) Hospital, Birmingham, AL, USA
| | - Gary R Cutter
- Department of Biostatistics, University of Alabama at Birmingham (UAB) Hospital, Birmingham, AL, USA
| | - Jerzy P Szaflarski
- Department of Neurology, University of Alabama at Birmingham (UAB) Hospital, Birmingham, AL, USA.,University of Alabama at Birmingham (UAB) Epilepsy Center, Birmingham, AL, USA
| |
Collapse
|
39
|
Jan S, Northington FJ, Parkinson CM, Stafstrom CE. EEG Monitoring Technique Influences the Management of Hypoxic-Ischemic Seizures in Neonates Undergoing Therapeutic Hypothermia. Dev Neurosci 2017; 39:82-88. [PMID: 28081533 DOI: 10.1159/000454855] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 11/30/2016] [Indexed: 11/19/2022] Open
Abstract
Electroencephalogram (EEG) monitoring techniques for neonatal hypoxia-ischemia (HI) are evolving over time, and the specific type of EEG utilized could influence seizure diagnosis and management. We examined whether the type of EEG performed affected seizure treatment decisions (e.g., the choice and number of antiseizure drugs [ASDs]) in therapeutic hypothermia-treated neonates with HI from 2007 to 2015 in the Johns Hopkins Hospital Neonatal Intensive Care Unit. During this period, 3 different EEG monitoring protocols were utilized: Period 1 (2007-2009), single, brief conventional EEG (1 h duration) at a variable time during therapeutic hypothermia treatment, i.e., ordered when a seizure was suspected; Period 2 (2009-2013), single, brief conventional EEG followed by amplitude-integrated EEG for the duration of therapeutic hypothermia treatment and another brief conventional EEG after rewarming; and Period 3 (2014-2015), continuous video-EEG (cEEG) for the duration of therapeutic hypothermia treatment (72 h) plus for an additional 12 h during and after rewarming. One hundred and sixty-two newborns were included in this retrospective cohort study. As a function of the type and duration of EEG monitoring, we assessed the risk (likelihood) of receiving no ASD, at least 1 ASD, or ≥2 ASDs. We found that the risk of a neonate being prescribed an ASD was 46% less during Period 3 (cEEG) than during Period 1 (brief conventional EEG only) (95% CI 6-69%, p = 0.03). After adjusting for initial EEG and MRI results, compared with Period 1, there was a 38% lower risk of receiving an ASD during Period 2 (95% CI: 9-58%, p = 0.02) and a 67% lower risk during Period 3 (95% CI: 23-86%, p = 0.01). The risk ratio of receiving ≥2 ASDs was not significantly different across the 3 periods. In conclusion, in addition to the higher sensitivity and specificity of continuous video-EEG monitoring, fewer infants are prescribed an ASD when undergoing continuous forms of EEG monitoring (aEEG or cEEG) than those receiving conventional EEG. We recommend that use of continuous video-EEG be considered whenever possible, both to treat seizures more specifically and to avoid overtreatment.
Collapse
Affiliation(s)
- Saber Jan
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | |
Collapse
|
40
|
Alvarez V, Rodriguez Ruiz AA, LaRoche S, Hirsch LJ, Parres C, Voinescu PE, Fernandez A, Petroff OA, Rampal N, Haider HA, Lee JW. The use and yield of continuous EEG in critically ill patients: A comparative study of three centers. Clin Neurophysiol 2017; 128:570-578. [PMID: 28231475 DOI: 10.1016/j.clinph.2017.01.001] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 11/07/2016] [Accepted: 01/04/2017] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Continuous EEG (cEEG) monitoring of critically ill patients has gained widespread use, but there is substantial reported variability in its use. We analyzed cEEG and antiseizure drug (ASD) usage at three high volume centers. METHODS We utilized a multicenter cEEG database used daily as a clinical reporting tool in three tertiary care sites (Emory Hospital, Brigham and Women's Hospital and Yale - New Haven Hospital). We compared the cEEG usage patterns, seizure frequency, detection of rhythmic/periodic patterns (RPP), and ASD use between the sites. RESULTS 5792 cEEG sessions were analyzed. Indication for cEEG monitoring and recording duration were similar between the sites. Seizures detection rate was nearly identical between the three sites, ranging between 12.3% and 13.6%. Median time to first seizure and detection rate of RPPs were similar. There were significant differences in doses of levetiracetam, valproic acid, and lacosamide used between the three sites. CONCLUSIONS There was remarkable uniformity in seizure detection rates within three high volume centers. In contrast, dose of ASD used frequently differed between the three sites. SIGNIFICANCE These large volume data are in line with recent guidelines regarding cEEG use. Difference in ASD use suggests discrepancies in how cEEG results influence patient management.
Collapse
Affiliation(s)
- Vincent Alvarez
- Department of Neurology, Hôpital du Valais, Sion, Switzerland; Department of Clinical Neurosciences, CHUV and University of Lausanne, Lausanne, Switzerland; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
| | | | | | - Lawrence J Hirsch
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Christopher Parres
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Paula E Voinescu
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Andres Fernandez
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA; Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Ognen A Petroff
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Nishi Rampal
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | | | - Jong Woo Lee
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | | |
Collapse
|
41
|
Billakota S, Sinha SR. Utility of Continuous EEG Monitoring in Noncritically lll Hospitalized Patients. J Clin Neurophysiol 2016; 33:421-425. [DOI: 10.1097/wnp.0000000000000270] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
|
42
|
Continuous EEG monitoring for 24hours in patients with non-traumatic coma in neurological intensive care unit. INDIAN JOURNAL OF MEDICAL SPECIALITIES 2016. [DOI: 10.1016/j.injms.2016.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
43
|
Author Response: Concerns About Utility and Cost-Effectiveness of Continuous Critical-Care EEG. J Clin Neurophysiol 2016; 32:442-3. [PMID: 26426771 DOI: 10.1097/wnp.0000000000000220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
|
44
|
Consensus statement on continuous EEG in critically ill adults and children, part I: indications. J Clin Neurophysiol 2016; 32:87-95. [PMID: 25626778 DOI: 10.1097/wnp.0000000000000166] [Citation(s) in RCA: 367] [Impact Index Per Article: 45.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
INTRODUCTION Critical Care Continuous EEG (CCEEG) is a common procedure to monitor brain function in patients with altered mental status in intensive care units. There is significant variability in patient populations undergoing CCEEG and in technical specifications for CCEEG performance. METHODS The Critical Care Continuous EEG Task Force of the American Clinical Neurophysiology Society developed expert consensus recommendations on the use of CCEEG in critically ill adults and children. RECOMMENDATIONS The consensus panel recommends CCEEG for diagnosis of nonconvulsive seizures, nonconvulsive status epilepticus, and other paroxysmal events, and for assessment of the efficacy of therapy for seizures and status epilepticus. The consensus panel suggests CCEEG for identification of ischemia in patients at high risk for cerebral ischemia; for assessment of level of consciousness in patients receiving intravenous sedation or pharmacologically induced coma; and for prognostication in patients after cardiac arrest. For each indication, the consensus panel describes the patient populations for which CCEEG is indicated, evidence supporting use of CCEEG, utility of video and quantitative EEG trends, suggested timing and duration of CCEEG, and suggested frequency of review and interpretation. CONCLUSION CCEEG has an important role in detection of secondary injuries such as seizures and ischemia in critically ill adults and children with altered mental status.
Collapse
|
45
|
Wilson CA. Continuous electroencephalogram detection of non-convulsive seizures in the pediatric intensive care unit: review of the utility and impact on management and outcomes. Transl Pediatr 2015; 4:283-9. [PMID: 26835390 PMCID: PMC4728999 DOI: 10.3978/j.issn.2224-4336.2015.10.02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Non-convulsive seizures (NCS) are common among critically ill children with acute encephalopathy. Continuous electroencephalogram (CEEG) monitoring is an indispensable tool to detect NCS, which is essential to guiding management and assessing prognosis. Risk factors for NCS are highest in pediatric intensive care unit (PICU) patients with altered mental status (AMS) and a recently witnessed clinical seizure, acute changes on neuroimaging, and/or interictal abnormalities on CEEG. Screening for at least 24 hours in at risk pediatric populations is ideal, but around half of NCS may be detected within the first hour. Rapid treatment of prolonged seizures or status epilepticus is critical, as higher seizure burdens have been associated with poorer outcomes in critically ill children. This review integrates current information on critically ill children with AMS and the use of CEEGs, risk factors for NCS, duration of CEEG monitoring, and how the detection of NCS impacts management and outcomes.
Collapse
Affiliation(s)
- Carey A Wilson
- Department of Child Neurology, University of Utah School of Medicine, UT 84113, USA
| |
Collapse
|
46
|
Grinspan ZM, Pon S, Greenfield JP, Malhotra S, Kosofsky BE. Multimodal monitoring in the pediatric intensive care unit: new modalities and informatics challenges. Semin Pediatr Neurol 2014; 21:291-8. [PMID: 25727511 DOI: 10.1016/j.spen.2014.10.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
We review several newer modalities to monitor the brain in children with acute neurologic disease in the pediatric intensive care unit, such as partial brain tissue oxygen tension (PbtO2), jugular venous oxygen saturation (SjvO2), near infrared spectroscopy (NIRS), thermal diffusion measurement of cerebral blood flow, cerebral microdialysis, and EEG. We then discuss the informatics challenges to acquire, consolidate, analyze, and display the data. Acquisition includes multiple data types: discrete, waveform, and continuous. Consolidation requires device interoperability and time synchronization. Analysis could include pressure reactivity index and quantitative EEG. Displays should communicate the patient's current status, longitudinal and trend information, and critical alarms.
Collapse
Affiliation(s)
- Zachary M Grinspan
- Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY; Department of Pediatrics, Weill Cornell Medical College, New York, NY; Center for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, NY; New York Presbyterian Hospital, New York, NY.
| | - Steven Pon
- Department of Pediatrics, Weill Cornell Medical College, New York, NY; New York Presbyterian Hospital, New York, NY
| | - Jeffrey P Greenfield
- New York Presbyterian Hospital, New York, NY; Department of Neurologic Surgery, Weill Cornell Medical College, New York, NY
| | - Sameer Malhotra
- Center for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, NY; New York Presbyterian Hospital, New York, NY; Physician Organization, Weill Cornell Medical College, New York, NY
| | - Barry E Kosofsky
- Department of Pediatrics, Weill Cornell Medical College, New York, NY; New York Presbyterian Hospital, New York, NY
| |
Collapse
|
47
|
Halford JJ, Shiau D, Desrochers JA, Kolls BJ, Dean BC, Waters CG, Azar NJ, Haas KF, Kutluay E, Martz GU, Sinha SR, Kern RT, Kelly KM, Sackellares JC, LaRoche SM. Inter-rater agreement on identification of electrographic seizures and periodic discharges in ICU EEG recordings. Clin Neurophysiol 2014; 126:1661-9. [PMID: 25481336 DOI: 10.1016/j.clinph.2014.11.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 10/15/2014] [Accepted: 11/07/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVE This study investigated inter-rater agreement (IRA) among EEG experts for the identification of electrographic seizures and periodic discharges (PDs) in continuous ICU EEG recordings. METHODS Eight board-certified EEG experts independently identified seizures and PDs in thirty 1-h EEG segments which were selected from ICU EEG recordings collected from three medical centers. IRA was compared between seizure and PD identifications, as well as among rater groups that have passed an ICU EEG Certification Test, developed by the Critical Care EEG Monitoring Research Consortium (CCEMRC). RESULTS Both kappa and event-based IRA statistics showed higher mean values in identification of seizures compared to PDs (k=0.58 vs. 0.38; p<0.001). The group of rater pairs who had both passed the ICU EEG Certification Test had a significantly higher mean IRA in comparison to rater pairs in which neither had passed the test. CONCLUSIONS IRA among experts is significantly higher for identification of electrographic seizures compared to PDs. Additional instruction, such as the training module and certification test developed by the CCEMRC, could enhance this IRA. SIGNIFICANCE This study demonstrates more disagreement in the labeling of PDs in comparison to seizures. This may be improved by education about standard EEG nomenclature.
Collapse
Affiliation(s)
- J J Halford
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA.
| | - D Shiau
- Optima Neurosciences Inc., Alachua, FL, USA
| | | | - B J Kolls
- Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - B C Dean
- School of Computing, Clemson University, Clemson, SC, USA
| | - C G Waters
- School of Computing, Clemson University, Clemson, SC, USA
| | - N J Azar
- Department of Neurology, Vanderbilt University, Nashville, TN, USA
| | - K F Haas
- Department of Neurology, Vanderbilt University, Nashville, TN, USA
| | - E Kutluay
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - G U Martz
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - S R Sinha
- Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - R T Kern
- Optima Neurosciences Inc., Alachua, FL, USA
| | - K M Kelly
- Center for Neuroscience Research, Allegheny Singer Research Institute, Allegheny General Hospital, Pittsburgh, PA, USA
| | - J C Sackellares
- Department of Neurology, Malcolm Randal VA Medical Center, Gainesville, FL, USA
| | - S M LaRoche
- Department of Neurology, Emory University Hospital, Atlanta, GA, USA
| |
Collapse
|
48
|
Ruijter BJ, van Putten MJAM, Horn J, Blans MJ, Beishuizen A, van Rootselaar AF, Hofmeijer J. Treatment of electroencephalographic status epilepticus after cardiopulmonary resuscitation (TELSTAR): study protocol for a randomized controlled trial. Trials 2014; 15:433. [PMID: 25377067 PMCID: PMC4237766 DOI: 10.1186/1745-6215-15-433] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Accepted: 10/21/2014] [Indexed: 11/16/2022] Open
Abstract
Background Electroencephalographic (EEG) status epilepticus is described in 10 to 35% of patients with postanoxic encephalopathy after successful cardiopulmonary resuscitation and is associated with case fatality rates of 90 to 100%. It is unclear whether these EEG patterns represent a condition to be treated with anticonvulsants to improve outcome, or an expression of severe ischemic damage, in which treatment is futile. Methods/Design TELSTAR is a multicenter clinical trial with two parallel groups, randomized treatment allocation, open label treatment, and blinded endpoint evaluation (PROBE design). We aim to enroll 172 adult patients with postanoxic encephalopathy and electroencephalographic status epilepticus after successful cardiopulmonary resuscitation, admitted to the ICU, in whom continuous EEG monitoring is started within 24 hours after admission. Patients are randomly assigned to either medical treatment to suppress all electrographic seizure activity, or no treatment of electroencephalographic status epilepticus. Antiepileptic treatment is based on guidelines for treatment of overt status epilepticus and is started within 3 hours after the diagnosis. If status epilepticus returns during tapering of sedative medication after suppression of all epileptiform activity for 2 × 24 hours, it will be considered refractory. The primary outcome measure is neurological outcome defined as the Cerebral Performance Category (CPC) score at 3 months, dichotomized into ‘good’ (CPC 1 to 2 = no or moderate neurological disability) and ‘poor’ (CPC 3 to 5 = severe disability, coma, or death). Secondary outcome measures include mortality and, for patients surviving up to 12 months, cognitive functioning, health related quality of life, and depression. Trial registration Clinicaltrials.gov; NCT02056236. Date of registration: 4 February 2014.
Collapse
Affiliation(s)
- Barry J Ruijter
- Clinical Neurophysiology group, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Hallenweg 15, 7522NB Enschede, The Netherlands.
| | | | | | | | | | | | | | | |
Collapse
|
49
|
Pisani F, Spagnoli C, Pavlidis E, Facini C, Kouamou Ntonfo GM, Ferrari G, Raheli R. Real-time automated detection of clonic seizures in newborns. Clin Neurophysiol 2014; 125:1533-40. [DOI: 10.1016/j.clinph.2013.12.119] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Revised: 12/04/2013] [Accepted: 12/27/2013] [Indexed: 12/17/2022]
|
50
|
Jacobs J. Detecting neonatal seizures: A challenge accepted! Clin Neurophysiol 2014; 125:1501-3. [DOI: 10.1016/j.clinph.2014.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Revised: 02/05/2014] [Accepted: 02/05/2014] [Indexed: 02/04/2023]
|