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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.
The period following resuscitation after cardiac arrest is a critical time during which the identification and management of neurological injury may lead to increased survival and improved long-term functional outcomes. Neuromonitoring can guide patient management and aid in prognostication following cardiac arrest. EEG background patterns may be useful in outcome prognostication for some patients within 24 hours of cardiac arrest. Similarly, EEG monitoring is often employed for detection of seizures after pediatric cardiac arrest; seizures are common and are most often subclinical. Hypothermia may impact the interpretation and optimal timing of neuromonitoring data used for prognostication. Experts recommend a multimodal approach to prognostication. In this chapter, we discuss cEEG monitoring, quantitative EEG methods for seizure identification, and EEG background interpretation. We discuss SSEPs and NIRS and their respective roles in neurological management and prognostication. We also address how therapeutic hypothermia (TH) and medication exposure can change the reliability of some of these neuromonitoring tools.
Status epilepticus is a life-threatening and time-sensitive emergency. Continuous EEG monitoring allows the detection of electrographic seizures and electrographic status epilepticus. Increasing evidence guides best practices for which patients to monitor for these conditions and appropriate duration of monitoring. The treatment of SE consists of benzodiazepines, non-benzodiazepines, antiepileptic drugs, and continuous infusions; cEEG monitoring is helpful in assessing the response to treatment. Interpretation of EEG after electrographic seizures requires care, as some patterns on the ictal-interictal continuum may be challenging. This chapter reviews current evidence regarding neuromonitoring and the management of status epilepticus and recurrent seizures.
Extracorporeal membrane oxygenation (ECMO) is a temporary cardiopulmonary support for neonates and children with potentially reversible cardiopulmonary disorders. Patients requiring ECMO support are at risk for brain injury due to pre-ECMO medical conditions, ECMO cannula placement in the carotid artery and internal jugular vessels, and complications arising during ECMO. Acute brain injury may result in acute symptomatic seizures. Clinical and electrographic seizures are common in neonates and children undergoing ECMO. At the same time, the majority of seizures during ECMO are subclinical, and can only be diagnosed through continuous EEG monitoring. Thus, recent consensus statements have recommended increasing use of continuous EEG monitoring (cEEG) during ECMO in neonates and children. This chapter reviews the available data regarding seizure incidence, risk factors, and outcomes in neonates and children requiring ECMO support.
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