ReviewAnnals of intensive care2022
Prognostication after cardiac arrest: how EEG and evoked potentials may improve the challenge.
Review in Annals of intensive care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06711016 (Efficacy and Safety of Target-directed Management of Cerebral Oxygenation in Patients Undergoing Extracorporeal Cardiopulmonary Resuscitation), which is not on this map. Cited by 24 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.
Efficacy and Safety of Target-directed Management of Cerebral Oxygenation in Patients Undergoing Extracorporeal Cardiopulmonary Resuscitation: A Multicenter, Pragmatic, Randomized, Controlled Clinical Trial
Who cites it
24 citing papers in PubMed, 47 citations in OpenAlex.
- Unreactive EEG Background Is Associated With Unfavorable Outcome in Patients With Disorders of Consciousness of Various Etiologies: An Adult Cohort Study.European journal of neurology · 2025Trial
- Early multimodal predictors of good neurological outcome in comatose patients after cardiac arrest: a prospective single-center cohort study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- EEG-based machine-learning prognostication in comatose patients with indeterminate outcome after cardiac arrest.Critical care (London, England) · 2026Observational
- Diagnostic value of mismatch-negativity and P3a event-related potentials for sepsis-associated encephalopathy in non-sedated patients: a pilot study.World journal of emergency medicine · 2026Article
- Central Abnormalities in Idiopathic Tinnitus With Mild Hearing Loss: Selective Attention and Preprocessing Dysfunction.Brain and behavior · 2026Article
- Cerebral monitoring responses to bedside physiological challenges in comatose post-cardiac arrest patients.Journal of clinical monitoring and computing · 2026Article
- Prognostic value of auditory evoked potentials in disorders of consciousness: a systematic literature review.Clinical neurophysiology practice · 2026Review
- Prognostic assessment of comatose patients after cardiac arrest: construction of a simplified monitoring EEG risk score across different time windows.Frontiers in neurology · 2026Article
- Prognostic value of brainstem auditory evoked potentials (BAEPs) and middle latency auditory evoked potentials (MLAEPs) in unconscious patients after cardiac arrest.Critical care (London, England) · 2025Article
- Absolute blood levels and kinetics of neurofilament light (NFL) chains for neurological prognosis in comatose patients after cardiac arrest.Annals of intensive care · 2025Article
- Construction and validation of prognostic model for ICU mortality in cardiac arrest patients: an interpretable machine learning modeling approach.European journal of medical research · 2025Article
- Multimodal assessment of favorable neurological outcome using NSE levels and kinetics, EEG and SSEP in comatose patients after cardiac arrest.Critical care (London, England) · 2025Article
- Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest.Sensors (Basel, Switzerland) · 2025Article
- Personalized neuron-specific enolase level based on EEG pattern for prediction of poor outcome after cardiac arrest.Annals of intensive care · 2025Article
- Prognostic value of quantitative and visual electroencephalography in disorders of consciousness: a retrospective study.Frontiers in neuroscience · 2025Article
- Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation.Military Medical Research · 2024Review
- Role of artificial intelligence in predicting neurological outcomes in postcardiac resuscitation.Annals of medicine and surgery (2012) · 2024Review
- Quantitative EEG reactivity induced by electrical stimulation predicts good outcome in comatose patients after cardiac arrest.Annals of intensive care · 2024Article
- Prognostic value of early EEG abnormalities in severe stroke patients requiring mechanical ventilation: a pre-planned analysis of the SPICE prospective multicenter study.Critical care (London, England) · 2024Article
- Aberrant brain-heart coupling is associated with the severity of post cardiac arrest brain injury.Annals of clinical and translational neurology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
About 80% of patients resuscitated from CA are comatose at ICU admission and nearly 50% of survivors are still unawake at 72 h. Predicting neurological outcome of these patients is important to provide correct information to patient's relatives, avoid disproportionate care in patients with irreversible hypoxic-ischemic brain injury (HIBI) and inappropriate withdrawal of care in patients with a possible favorable neurological recovery. ERC/ESICM 2021 algorithm allows a classification as "poor outcome likely" in 32%, the outcome remaining "indeterminate" in 68%. The crucial question is to know how we could improve the assessment of both unfavorable but also favorable outcome prediction. Neurophysiological tests, i.e., electroencephalography (EEG) and evoked-potentials (EPs) are a non-invasive bedside investigations. The EEG is the record of brain electrical fields, characterized by a high temporal resolution but a low spatial resolution. EEG is largely available, and represented the most widely tool use in recent survey examining current neuro-prognostication practices. The severity of HIBI is correlated with the predominant frequency and background continuity of EEG leading to "highly malignant" patterns as suppression or burst suppression in the most severe HIBI. EPs differ from EEG signals as they are stimulus induced and represent the summated activities of large populations of neurons firing in synchrony, requiring the average of numerous stimulations. Different EPs (i.e., somato sensory EPs (SSEPs), brainstem auditory EPs (BAEPs), middle latency auditory EPs (MLAEPs) and long latency event-related potentials (ERPs) with mismatch negativity (MMN) and P300 responses) can be assessed in ICU, with different brain generators and prognostic values. In the present review, we summarize EEG and EPs signal generators, recording modalities, interpretation and prognostic values of these different neurophysiological tools. Finally, we assess the perspective for futures neurophysiological investigations, aiming to reduce prognostic uncertainty in comatose and disorders of consciousness (DoC) patients after CA.
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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.