Complex partial status epilepticus in children with epilepsy

Trend figures assist with untrained emergency electroencephalogram interpretation

OBJECTIVE

Acute electroencephalogram (EEG) findings are important for diagnosing emergency patients with suspected neurological disorders, but they can be difficult for untrained medical staff to interpret. In this research, we will develop an emergency EEG trend figure that we hypothesize will be more easily understood by untrained staff compared with the raw original traces.

METHODS

For each of several EEG patterns (wakefulness, sleep, seizure activity, and encephalopathy), trend figures incorporating information on both amplitude and frequency were built. The accuracy of untrained reviewers' interpretation was compared with that of the raw EEG trace interpretation.

RESULTS

The rate of correct answers was significantly higher in response to the EEG trend figures than to the raw traces showing wakefulness, sleep, and encephalopathy, but there was no difference when seizure activity patterns were viewed. The rates of misjudging normal or abnormal findings were significantly lower with the trend figures in the wakefulness pattern; in the other patterns, misjudgments were equally low for the trend figures and the raw traces.

CONCLUSION

EEG trend figures improved the accuracy with which untrained medical staff interpreted emergency EEGs. Emergency EEG figures that can be understood intuitively with minimal training might improve the accuracy of emergency EEG interpretation. However, additional studies are required to confirm these results because there may be many types of clinical EEGs that are difficult to interpret.

Electroencephalographic criteria for nonconvulsive status epilepticus: synopsis and comprehensive survey

There have been many attempts at defining the electroencephalography (EEG) characteristics of nonconvulsive status epilepticus (NCSE) without a universally accepted definition. This lack of consensus arises because the EEG expression of NCSE does not exist in isolation, but reflects status epilepticus under the variety of pathologic conditions that occur with age, cerebral development, encephalopathy, and epilepsy syndrome. Current NCSE definitions include "boundary conditions," in which electroencephalographic seizure activity occurs without apparent clinical seizures. Furthermore, what appears to one interpreter as status epilepticus, is not to another reader, reflecting the "art" of EEG interpretation. Seizures and epilepsy syndromes have undergone an evolution that has moved beyond a classification of focal or generalized conditions into a syndromic approach. It seems appropriate to make similar changes in the EEG analysis of the syndromes of NCSE. In effect, the literature on epilepsy classification has progressed to incorporate the different NCSE types with clinical descriptions, but the specific EEG evidence for these types is found largely in individual reports, and often by description only. NCSE classification of EEG patterns should derive from the aggregate of published EEG patterns in the respective clinical subtype, supported by an analysis of these EEG studies. The analysis that follows presents clinical descriptions and EEG patterns of NCSE in the neonatal period, infancy, childhood, adulthood, and late adulthood from a syndromic perspective based on age, encephalopathy, cerebral development, etiology, and syndrome. Proceeding from the proposed classification of status epilepticus syndromes in "Status epilepticus: its clinical features and treatment in children and adults" (published in 1994 by Cambridge University Press, New York), we have performed a systematic search for reports presenting EEG patterns of NCSE using the online medical search engine PubMed for 22 different search strategies. EEG patterns were reviewed by two board-certified epileptologists who reached consensus regarding presence of NCSE. From a total of 4,328 search results, 123 cases with corresponding EEG patterns could be allocated to underlying epilepsy syndromes. Typical characteristic, prominent electrographic patterns, and sequential arrangements are elucidated for the different NCSE syndromes. This compendium of patterns by NCSE syndrome classification with illustration of EEGs, and delineation of electroencephalographic features helps define the characteristics and semiologic borderlines among the types of NCSE.

Nonconvulsive status epilepticus and continuous spike and slow wave of sleep in children

Nonconvulsive status epilepticus (NCSE) is a special epileptic state that can be more common than previously thought in children and adult patients. Currently, there is no universally accepted definition for NCSE. Early and accurate diagnosis depends on a high index of suspicion and rapid availability of electroencephalographic recording. The clinical presentation of NCSE can vary from a mild confusional state to a coma. The underlying etiology is also quite diverse. In critically ill patients, NCSE has been reported with convulsive status epilepticus (CSE), hypoxemia, acute ischemic or hemorrhagic stroke, encephalitis, or trauma. The estimated incidence of NCSE is 15% to 40% in post-CSE, 8% in subarachnoid hemorrhage, and 8% to 10% in coma. As seen in CSE, there is a bimodal distribution with NCSE in critically ill patients; children (age <1 year) and elderly appear to be at great risk. NCSE has also been reported in a number of epilepsy syndromes, such as childhood absence epilepsy, Panayiotopoulos syndrome, Lennox-Gastaut syndrome, and Dravet syndrome. However, it is difficult to determine the incidence of NCSE in an ambulatory setting because of the great variation in clinical presentation and underlying etiology. This review examines the clinical features, outcome, and treatment approach for NCSE in 2 different clinical settings, in ambulatory and critically ill patients. NCSE is reviewed in children and adults to distinguish similarities and differences in their clinical presentation.