Litcius/Paper detail

Quantitative Characterization of Rhythmic and Periodic EEG Patterns in Patients in a Coma After Cardiac Arrest and Association With Outcome

Michel J. A. M. van Putten, Barry J. Ruijter, Janneke Horn, Anne‐Fleur van Rootselaar, Selma C. Tromp, Vivianne van Kranen-Mastenbroek, Nicolas Gaspard, Jeannette Hofmeijer, for the TELSTAR Investigators

2024Neurology18 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: Rhythmic and periodic patterns (RPPs) on EEG in patients in a coma after cardiac arrest are associated with a poor neurologic outcome. We characterize RPPs using qEEG in relation to outcomes. METHODS: Post hoc analysis was conducted on 172 patients in a coma after cardiac arrest from the TELSTAR trial, all with RPPs. Quantitative EEG included corrected background continuity index (BCI*), relative discharge power (RDP), discharge frequency, and shape similarity. Neurologic outcomes at 3 months after arrest were categorized as poor (CPC = 3-5) or good (CPC = 1-2). RESULTS: 0.75 within 72 hours, the probability of good outcomes doubled to 18%. DISCUSSION: Sufficient EEG background continuity before and during RPPs is crucial for meaningful recovery. Background continuity, discharge power, and shape similarity can help select patients with relevant chances of recovery and may guide treatment. TRIAL REGISTRATION INFORMATION: February 4, 2014, ClinicalTrial.gov, NCT02056236.

Topics & Concepts

Coma (optics)ElectroencephalographyRhythmMedicineAssociation (psychology)CardiologyInternal medicinePsychologyNeurosciencePsychiatryPhysicsOpticsPsychotherapistCardiac Arrest and ResuscitationTraumatic Brain Injury ResearchIntensive Care Unit Cognitive Disorders
Quantitative Characterization of Rhythmic and Periodic EEG Patterns in Patients in a Coma After Cardiac Arrest and Association With Outcome | Litcius