EEG for good outcome prediction after cardiac arrest: A multicentre cohort study
Turella S, Dankiewicz J, Ben-Hamouda N, Nilsen K, Düring J, Endisch C, Engstrøm M, Flügel D, Gaspard N, Grejs A, Haenggi M, Haffey S, Imbach L, Johnsen B, Kemlink D, Leithner C, Legriel S, Lindehammar H, Mazzon G, Nielsen N, Peyre A, Stanford B, Roman-Pognuz E, Rossetti A, Schrag C, Valeriánová A, Wendel-Garcia P, Zubler F, Cronberg T, Westhall E, investigators T. EEG for good outcome prediction after cardiac arrest: A multicentre cohort study. Resuscitation 2024, 202: 110319. PMID: 39029579, DOI: 10.1016/j.resuscitation.2024.110319.Peer-Reviewed Original ResearchConceptsMalignant EEG patternsEEG reactivityReactive EEGsCardiac arrestComatose patientsEEG patternsOut-of-hospital cardiac arrest trialModified Rankin Scale scoreMulticentre cohort studyRankin Scale scoreLong-term outcomesOut-of-hospitalCardiac arrest trialsSpecificity of EEGEEG assessmentHospital stayGood outcomeMultimodal prognosticationPrognostic performanceNon-highlyPrognostic abilityCohort studyMalignant patternArrest trialsBurst suppressionQuantitative Characterization of Rhythmic and Periodic EEG Patterns in Patients in a Coma After Cardiac Arrest and Association With Outcome
van Putten M, Ruijter B, Horn J, van Rootselaar A, Tromp S, van Kranen-Mastenbroek V, Gaspard N, Hofmeijer J, Investigators F. Quantitative Characterization of Rhythmic and Periodic EEG Patterns in Patients in a Coma After Cardiac Arrest and Association With Outcome. Neurology 2024, 103: e209608. PMID: 38991197, DOI: 10.1212/wnl.0000000000209608.Peer-Reviewed Original Research