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The Role of Electroencephalography in the Prognostication of Clinical Outcomes in Critically Ill Children: A Review.
Gilman, Carley A; Wusthoff, Courtney J; Guerriero, Réjean M.
Afiliação
  • Gilman CA; Division of Pediatric Neurology, Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA.
  • Wusthoff CJ; St. Louis Children's Hospital, St. Louis, MO 63110, USA.
  • Guerriero RM; Division of Child Neurology, Department of Neurology, Stanford University, Palo Alto, CA 94305, USA.
Children (Basel) ; 9(9)2022 Sep 08.
Article em En | MEDLINE | ID: mdl-36138677
ABSTRACT
Electroencephalography (EEG) is a neurologic monitoring modality that allows for the identification of seizures and the understanding of cerebral function. Not only can EEG data provide real-time information about a patient's clinical status, but providers are increasingly using these results to understand short and long-term prognosis in critical illnesses. Adult studies have explored these associations for many years, and now the focus has turned to applying these concepts to the pediatric literature. The aim of this review is to characterize how EEG can be utilized clinically in pediatric intensive care settings and to highlight the current data available to understand EEG features in association with functional outcomes in children after critical illness. In the evaluation of seizures and seizure burden in children, there is abundant data to suggest that the presence of status epilepticus during illness is associated with poorer outcomes and a higher risk of mortality. There is also emerging evidence indicating that poorly organized EEG backgrounds, lack of normal sleep features and lack of electrographic reactivity to clinical exams portend worse outcomes in this population. Prognostication in pediatric critical illness must be informed by the comprehensive evaluation of a patient's clinical status but the utilization of EEG may help contribute to this assessment in a meaningful way.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article