OBJECTIVE: @entity159 is observed in 10-35% of @entity1 with postanoxic @entity75 . It remains unclear which electrographic seizure patterns indicate possible recovery, and which are a mere reflection of severe @entity2806 , where treatment would be futile. We aimed to identify quantitative electroencephalography (EEG) features with prognostic significance. METHODS: From continuous EEG recordings of 47 @entity1 with generalized @entity159 after @entity1167 , 5-min epochs were selected every hour. Epochs were visually assessed and categorized into seven categories, including @entity302 . Five quantitative measures were extracted, reflecting background continuity, discharge frequency, discharge periodicity, relative discharge power, and interdischarge waveform correlation. The best achieved outcome within 6 months after @entity1167 was categorized as "good" (Cerebral Performance Category 1-2, i.e., no or moderate @entity16 ) or "poor" (CPC 3-5, i.e., severe disability, @entity772 , or @entity204 ). RESULTS: Ten @entity1 (22%) had a good outcome. @entity159 in @entity1 with good outcome started later (45 vs. 29 h after @entity1167 , p < 0.001), more often ceased for at least 12 h (90% vs. 16%, p = 0.02), and was less often treated with antiepileptic drugs (30% vs. 73%, p = 0.02). @entity159 in @entity1 with a good outcome always evolved from a continuous background pattern, as opposed to evolution from a discontinuous background pattern in 14 @entity1 (38%) with a poor outcome. Epileptiform patterns of @entity1 with good outcome had higher background continuity (1.00 vs. 0.83, p < 0.001), higher discharge frequency (1.63 vs. 0.90 Hz, p = 0.002), lower relative discharge power (0.29 vs. 0.40, p = 0.01), and lower discharge periodicity (0.32 vs. 0.45, p = 0.04). SIGNIFICANCE: Our results can be used to identify @entity1 with possible recovery. We speculate that quantitative features associated with poor outcome reflect low @entity1274 , resulting from extensive @entity2806 .

Generalized XXXX in postanoxic @entity75 : Quantitative characterization in relation to outcome.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity2806 :: ('MESH:D002545', 'Disease') :: ['ischemic damage', 'ischemic encephalopathy'] @entity75 :: ('MESH:D001927', 'Disease') :: ['encephalopathy'] @entity16 :: ('MESH:D009422', 'Disease') :: ['neurologic disability'] @entity772 :: ('MESH:D003128', 'Disease') :: ['coma'] @entity1274 :: ('MESH:D006319', 'Disease') :: ['neural network complexity'] @entity302 :: ('MESH:D004827', 'Disease') :: ['epileptiform discharges'] @entity1167 :: ('MESH:D006323', 'Disease') :: ['cardiac arrest'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death'] @entity159 :: ('MESH:D013226', 'Disease') :: ['electrographic status epilepticus', 'Electrographic status epilepticus', 'Status epilepticus']
@entity302 :: (MESH:D004827,Disease) :: ['epileptiform discharges']
