Evaluates EEG features to predict outcomes in pediatric cardiac arrest, suggesting clinical utility.
To evaluate the prognostic utility of early electroencephalographic (EEG) findings in pediatric out-of-hospital cardiac arrest (OHCA) patients, examining the associations between EEG background, sleep features and reactivity with key clinical outcomes including mortality, early death within 48 hours and severe neurological impairment (defined as PCPC change ≥2) and using that as a prognostication tool
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Taitt et al. (2026) studied this question.
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