Trial reportActa neurologica Scandinavica2021
Electroencephalography of mechanically ventilated patients at high risk of delirium.
Trial report in Acta neurologica Scandinavica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03129438 (Impact on Clinical Outcome of Continuous Video-electroencephalography), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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.
Impact on Clinical Outcome of Continuous Video-electroencephalography (cEEG) Monitoring in Patients With Disorders of Consciousness: A Randomized Controlled Trial
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Effects of non-pharmacological interventions on sleep in patients with critical illness: a systematic review and network meta-analysis.Scientific reports · 2026Pooled it
- Continuous Versus Routine EEG in Critically Ill Patients Without Primary Neurologic Condition: Analysis of a Randomized Controlled Trial.European journal of neurology · 2026Trial
- Mechanical Ventilation-Associated Changes in Hippocampal Electroencephalogram: A Cross-Species Study in Humans and Rats.CNS neuroscience & therapeutics · 2026Article
- Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.GeroScience · 2026Observational
- Unravelling the complex inflammatory landscape of COVID-19 infection: a pathway to biomarkers identification in infection-associated delirium in the ICU.Intensive care medicine experimental · 2025Article
- Electroencephalography-based evaluation of the impact of night-time nursing care on sleep during intensive care unit administration after cardiac surgery.Scientific reports · 2025Article
- Prevalence of clinical electroencephalography findings in stroke patients with delirium.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- A Case of Persistent Postictal and Inter-ictal Delirium.Kansas journal of medicine · 2023Article
- Association of electroencephalogram epileptiform discharges during cardiac surgery with postoperative delirium: An observational study.Frontiers in surgery · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveNeurophysiological exploration of ICU delirium is limited. Here, we examined EEG characteristics of medical-surgical critically ill patients with new-onset altered consciousness state at high risk for ICU delirium. MATERIALS AND
methodsPre-planned analysis of non-neurological mechanically ventilated medical-surgical ICU subjects, who underwent a prospective multicenter randomized, controlled EEG study (NCT03129438, April 2017-November 2018). EEG characteristics, according to the 2012 ACNS nomenclature, included background activity, rhythmic periodic patterns/epileptic activity, amplitude, frequency, stimulus-induced discharges, triphasic waves, reactivity, and NREM sleep. We explored EEG findings in delirious versus non-delirious patients, specifically focusing on the presence of burst-suppression and rhythmic periodic patterns (ictal-interictal continuum), and ictal activity.
resultsWe analyzed 91 patients (median age, 66 years) who underwent EEG because of new-onset altered consciousness state at a median 5 days from admission; 42 patients developed delirium (46%). Burst-suppression (10 vs 0%, p = .02), rhythmic/periodic patterns (43% vs 22%, p = .03) and epileptiform activity (7 vs 0%, p = .05) were more frequent in delirious versus non-delirious patients. The presence of at least one of these abnormal EEG findings (32/91 patients; 35%) was associated with a significant increase in the likelihood of delirium (42 vs 15%, p = .006). Cumulative dose of sedatives and analgesics, as well as all other EEG characteristics, did not differ significantly between the two groups.
conclusionIn mechanically ventilated non-neurological critically ill patients with new-onset alteration of consciousness, EEG showing burst-suppression, rhythmic or periodic patterns, or seizures/status epilepticus indicate an increased risk of ICU delirium.
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