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      Bringing EEG Back to the Future: Use of cEEG in Neurocritical Care

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      Epilepsy Currents
      SAGE Publications

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          Abstract

          Continuous EEG Is Associated With Favorable Hospitalization Outcomes for Critically Ill Patients. Hill CE, Blank LJ, Thibault D, et al. Willis Neurology. 2018. doi:https://doi.org/10.1212/WNL.0000000000006689 Objective: To characterize continuous electroencephalography (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 < .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 1.11, respectively, P < .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. Commentary The recognition of the need to have specialized care for critical patients with neurologic illness or neurologic complications of systemic illness, along with the dual goal of improving survival and optimizing functional neurological outcome, has led to the surge of neuro-critical care as a recognized neurology subspecialty since the 1980s. 1 Multidisciplinary intensive care unit (ICU) teams have demonstrated improvement in outcomes of diverse patient populations, such as ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, and traumatic brain injury. 1,2 Along with multidisciplinary teams, specialized technology has emerged as a useful tool to assess neuro ICU patients’ condition when physical examination is limited. The use of electroencephalography (EEG) in the intensive care setting has been integrated and expanded within the last 20 years. Different modalities of EEG are used including short-term spot EEG acquisitions (rEEG) and continuous, long-term, video EEG (cEEG). 3 This modality implies real live monitoring by trained nursing or EEG technology staff and has become a staple in the toolbox of neuro ICU care. Furthermore, computerized multivariable analysis of the raw EEG in montages and arrangements that inform the team of neurophysiologic changes in an automated fashion and real time, known as quantitative EEG or qEEG, has significantly facilitated the integration of this technology to the everyday work of the ICU team. Within the ICU setting, cEEG is most useful in the identification, localization, characterization, quantification and follow-up of subclinical or subtle clinical seizures. 3 It allows the implementation of management goals and therapeutic targets, such as seizure cessation or burst suppression pattern. 4 It may precede and predict neurologic decline and improvement. 5 It is also useful in the prediction and prevention of secondary injury such as ischemia and aids in identifying and localizing regional structural lesions in real time. 6 Continuous EEG can help in the assessment of altered mental status and rarely contributes to establishing a specific etiology to an unclear presentation. But it occasionally does, such is the case for findings described in association with some autoimmune encephalopathies. 7 The benefits from cEEG as a diagnostic modality acquisition reside in it being noninvasive, long lasting, and having real-time results with spatial and temporal resolution. These characteristics are not easily achieved with any other clinically used diagnostic modality. Efforts from the neurophysiology community to elucidate the physiologic meaning of patterns of unclear clinical significance have resulted in a comprehensive, rather descriptive, terminology that has allowed both the clinical and research communities to start speaking a common language when interpreting and reporting EEG findings. 8 This terminology has also facilitated our understanding of the pathophysiologic and prognostic implications of some of these findings. 9 However, there are no clear parameters regarding when to use one EEG modality over another, when to start it, and for how long to monitor our patients under cEEG. Also, the impact of this diagnostic modality on mortality, functional recovery, cost, and length of stay has been studied but is not clear. 3 Hill et al underwent an extensive data review of patients within a single health-care national database which represents about 20% of nationwide discharges. This included a sample of over 7 million critical care adult patients who required mechanical ventilation from years 2004 to 2013. The study focused on the patients who had cEEG at some point during their hospitalization and compared them to the group who didn’t, in regard to in-hospital mortality, length of stay, and cost of hospitalization. They also analyzed patients according to the indication for monitoring. They found the use of cEEG dramatically expanded from about 0.6% to about 0.80% over the 10-year span. Only about 1.2% of the population with seizures or less, for other neurological diagnoses, had cEEG. The group who had cEEG had lower in-hospital mortality rate independent of the severity of their condition. This was true for all groups except the seizure group. The cEEG group also had longer stay and higher cost of care, which was not the case for rEEG. Even in the most recent years of the study, cEEG was much underutilized. I suspect the problem would be less in more recent years as cEEG has become a more ubiquitous tool, at least for larger and urban hospital settings. The stated reduced mortality is a powerful argument to support its use, but one has to keep in mind in-hospital deaths in the ICU setting are heavily influenced by the determination of goals of care, advance directives, and access to long-term ventilator care facilities. This is even more the case for the group of patients with extensive intracranial bleeds and other devastating conditions. In further support of the potential benefit of cEEG is the fact that the group who had it seemed to have had more comorbid conditions and longer hospital stays than the ones who didn’t and still had a lower mortality rate. It is very interesting to see the group of patients with status epilepticus did not show the same mortality benefits observed in other groups. This may raise a question regarding the consequences of treatment and the urge to act when information is available. This calls for further understanding into the meaning of unclear EEG patterns, some of which can be misinterpreted as status epilepticus. Mortality of ICU patients with status epilepticus has been described to be relatively lower at hospital discharge but rather large within a year thereafter 10 and much related to functional outcome. The results regarding length of stay and cost of care may be related to the ability to find and treat comorbid conditions such as subclinical seizures in patients who were otherwise classified in the nonseizure groups. Without considering the functional outcome at the time of discharge, I end up hoping that the patients monitored under cEEG had timely treatment of subclinical seizures and better neurological outcomes in the long term even if that resulted in longer hospital stay and higher cost. New technology such as qEEG along with easily applied electrode bands and caps and remote live monitoring capabilities will bring cEEG to more hospitals settings. The described improvement in mortality for ICU population supports the investment in these technologies beyond its current use. However, the results seen in 2 discrete neurologic conditions cannot be necessarily relevant to all critical care pathologies. Despite strong efforts from the clinical neurophysiology and neurointensive care communities, 6 we still need to further understand and socialize the advantages and limitations of cEEG in neurocritical care. We need to continue making cEEG acquisition and interpretation available for more institutions and for more than only monitoring known seizures. Continuous EEG has the capability to aid in the identification of early secondary lesions and can help us guide treatment or understand the course of fluctuating neurologic conditions. Multiple studies have shown the elevated prevalence of seizures and status epilepticus on ICU population with altered mental status of unclear etiology. 11 Many of these emerging conditions are treatable, and along with improving mortality, we will be making a positive impact on the functional status of these patients at the time of discharge and thereafter. By Adriana Bermeo-Ovalle

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          Predictors of hospital and one-year mortality in intensive care patients with refractory status epilepticus: a population-based study

          Background The aim was to determine predictors of hospital and 1-year mortality in patients with intensive care unit (ICU)-treated refractory status epilepticus (RSE) in a population-based study. Methods This was a retrospective study of the Finnish Intensive Care Consortium (FICC) database of adult patients (16 years of age or older) with ICU-treated RSE in Finland during a 3-year period (2010–2012). The database consists of admissions to all 20 Finnish hospitals treating RSE in the ICU. All five university hospitals and 11 out of 15 central hospitals participated in the present study. The total adult referral population in the study hospitals was 3.92 million, representing 91% of the adult population of Finland. Patients whose condition had a post-anoxic aetiological basis were excluded. Results We identified 395 patients with ICU-treated RSE, corresponding to an annual incidence of 3.4/100,000 (95% confidence interval (CI) 3.04–3.71). Hospital mortality was 7.4% (95% CI 0–16.9%), and 1-year mortality was 25.4% (95% CI 21.2–29.8%). Mortality at hospital discharge was associated with severity of organ dysfunction. Mortality at 1 year was associated with older age (adjusted odds ratio (aOR) 1.033, 95% CI 1.104–1.051, p = 0.001), sequential organ failure assessment (SOFA) score (aOR 1.156, CI 1.051–1.271, p = 0.003), super-refractory status epilepticus (SRSE) (aOR 2.215, 95% CI 1.20–3.84, p = 0.010) and dependence in activities of daily living (ADL) (aOR 2.553, 95% CI 1.537–4.243, p < 0.0001). Conclusions Despite low hospital mortality, 25% of ICU-treated RSE patients die within a year. Super-refractoriness, dependence in ADL functions, severity of organ dysfunction at ICU admission and older age predict long-term mortality. Trial registration Retrospective registry study; no interventions on human participants.
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            EEG Findings May Serve as a Potential Biomarker for Anti-NMDA Receptor Encephalitis.

            Objective To determine if an electroencephalographic (EEG) characteristic, beta:delta power ratio (BDPR), is significantly higher for N-methyl-d-aspartate receptor encephalitis (NMDARE) patients than for non-NMDARE patients on presenting EEG. Identification of an additional EEG biomarker with significant specificity for NMDARE (in the absence of frank delta brush) could potentially allow for early identification of at-risk patients. Methods Single center retrospective comparison of NMDARE and non-NMDARE consecutive cases of encephalitis, collated over a 6-year period (from 2008 to 2014). Results None of the 10 NMDARE patients displayed the extreme delta brush pattern on EEG previously described, but the ratio of BDPR was significantly higher for NMDARE patients (P < .005). There was no significant relationship between BDPR and the time of recording from symptom onset. Additional analysis of clinical characteristics also indicated that the patients with NMDARE (median age 19.5 years) were younger than the 5 patients with non-NMDARE (median age 36 years). Encephalopathy, seizure, and psychiatric complaints were the most common diagnoses at time of first health care presentation and did not favor a single etiology, though the latter was present only in the NMDARE population (50% at T0). Prodromal illness featuring headache was more common in the non-NMDARE population. Outcomes, as measured by the Modified Rankin Scale, were globally better in the NMDARE group. Conclusions Patients with NMDARE had a significantly higher BDPR on EEG when compared with non-NMDARE patients even in the absence of extreme delta brush. This suggests that early EEG characteristics may be helpful in distinguishing NMDARE from non-NMDARE.
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              Electrographic Features of Lateralized Periodic Discharges Stratify Risk in the Interictal–Ictal Continuum

              To risk-stratify electrographic features of lateralized periodic discharges (LPDs) in acute structural brain lesions for predictors of electrographic seizures.
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                Author and article information

                Journal
                Epilepsy Curr
                Epilepsy Curr
                EPI
                spepi
                Epilepsy Currents
                SAGE Publications (Sage CA: Los Angeles, CA )
                1535-7597
                1535-7511
                30 June 2019
                Jul-Aug 2019
                : 19
                : 4
                : 243-245
                Article
                10.1177_1535759719858350
                10.1177/1535759719858350
                6891844
                31257983
                01193b6e-f6d5-4738-973e-760e0040a11f
                © The Author(s) 2019

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License ( http://www.creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Categories
                Current Literature in Clinical Science
                Custom metadata
                July-August 2019

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