ArticleNeurology. Clinical practice2021
Electrographic Seizure Detection by Neuroscience Intensive Care Unit Nurses via Bedside Real-Time Quantitative EEG.
Article in Neurology. Clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Prospective Trial of Nonconvulsive Electrographic Seizure Detection by Nurses in the Adult Neuro ICU Using a Panel of Quantitative EEG Trends
Implementation of a Training Program to Improve EEG Competence in Neurocritical Care Nursing and Non-Physician Treatment Teams for the Recognition of Epileptiform and Ictal Patterns (EPI-TRAIN: EEG Training for the Detection of Pathological Ictal Patterns in Neurocritical Care)
Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- EEG for bedside monitoring: the intensivist's point of view.Critical care (London, England) · 2026Review
- Management of severe acute encephalopathy in the ICU: an expert consensus statement from the french society of intensive care medicine.Annals of intensive care · 2025Review
- Competence of healthcare professionals performing electroencephalography test: A systematic review.Clinical neurophysiology practice · 2025Review
- Utility and rationale for continuous EEG monitoring: a primer for the general intensivist.Critical care (London, England) · 2024Review
- Challenges and Prospects in Epilepsy Monitoring Units: A Comprehensive Review of Logistic Barriers.Cureus · 2024Review
- Electroencephalogram in the intensive care unit: a focused look at acute brain injury.Intensive care medicine · 2022Review
- Adult Critical Care Electroencephalography Monitoring for Seizures: A Narrative Review.Frontiers in neurology · 2022Review
- Nurses: The Missing Link in Continuous EEG Monitoring?Neurology. Clinical practice · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOur primary objective was to determine the performance of real-time neuroscience intensive care unit (neuro-ICU) nurse interpretation of quantitative EEG (qEEG) at the bedside for seizure detection. Secondary objectives included determining nurse time to seizure detection and assessing factors that influenced nurse accuracy.
methodsNurses caring for neuro-ICU patients undergoing continuous EEG (cEEG) were trained using a 1-hour qEEG panel (rhythmicity spectrogram and amplitude-integrated EEG) bedside display. Nurses' hourly interpretations were compared with post hoc cEEG review by 2 neurophysiologists as the gold standard. Diagnostic performance, time to seizure detection compared with standard of care (SOC), and effects of other factors on nurse accuracy were calculated.
resultsA total of 109 patients and 65 nurses were studied. Eight patients had seizures during the study period (7%). Nurse sensitivity and specificity for the detection of seizures were 74% and 92%, respectively. Mean nurse time to seizure detection was significantly shorter than SOC by 132 minutes (Cox proportional hazard ratio 6.96). Inaccurate nurse interpretation was associated with increased hours monitored and presence of brief rhythmic discharges.
conclusionsThis prospective study of real-time nurse interpretation of qEEG for seizure detection in neuro-ICU patients showed clinically adequate sensitivity and specificity. Time to seizure detection was less than that of SOC. TRIAL REGISTRATION INFORMATION: Clinical trial registration number NCT02082873. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that neuro-ICU nurse interpretation of qEEG detects seizures in adults with a sensitivity of 74% and a specificity of 92% compared with traditional cEEG review.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.