Dataset Information

The probability of seizures during EEG monitoring in critically ill adults.

ABSTRACT:

Objective

To characterize the risk for seizures over time in relation to EEG findings in hospitalized adults undergoing continuous EEG monitoring (cEEG).

Methods

Retrospective analysis of cEEG data and medical records from 625 consecutive adult inpatients monitored at a tertiary medical center. Using survival analysis methods, we estimated the time-dependent probability that a seizure will occur within the next 72-h, if no seizure has occurred yet, as a function of EEG abnormalities detected so far.

Results

Seizures occurred in 27% (168/625). The first seizure occurred early (<30min of monitoring) in 58% (98/168). In 527 patients without early seizures, 159 (30%) had early epileptiform abnormalities, versus 368 (70%) without. Seizures were eventually detected in 25% of patients with early epileptiform discharges, versus 8% without early discharges. The 72-h risk of seizures declined below 5% if no epileptiform abnormalities were present in the first two hours, whereas 16h of monitoring were required when epileptiform discharges were present. 20% (74/388) of patients without early epileptiform abnormalities later developed them; 23% (17/74) of these ultimately had seizures. Only 4% (12/294) experienced a seizure without preceding epileptiform abnormalities.

Conclusions

Seizure risk in acute neurological illness decays rapidly, at a rate dependent on abnormalities detected early during monitoring. This study demonstrates that substantial risk stratification is possible based on early EEG abnormalities.

Significance

These findings have implications for patient-specific determination of the required duration of cEEG monitoring in hospitalized patients.

SUBMITTER: Westover MB

PROVIDER: S-EPMC4289643 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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Publications

The probability of seizures during EEG monitoring in critically ill adults.

Westover M Brandon MB Shafi Mouhsin M MM Bianchi Matt T MT Moura Lidia M V R LM O'Rourke Deirdre D Rosenthal Eric S ES Chu Catherine J CJ Donovan Samantha S Hoch Daniel B DB Kilbride Ronan D RD Cole Andrew J AJ Cash Sydney S SS

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 20140711 3

<h4>Objective</h4>To characterize the risk for seizures over time in relation to EEG findings in hospitalized adults undergoing continuous EEG monitoring (cEEG).<h4>Methods</h4>Retrospective analysis of cEEG data and medical records from 625 consecutive adult inpatients monitored at a tertiary medical center. Using survival analysis methods, we estimated the time-dependent probability that a seizure will occur within the next 72-h, if no seizure has occurred yet, as a function of EEG abnormaliti ...[more]

PMID: 25082090

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Dataset Information

The probability of seizures during EEG monitoring in critically ill adults.

Objective

Methods

Results

Conclusions

Significance

Publications

The probability of seizures during EEG monitoring in critically ill adults.

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