Predicting pediatric cardiac arrest outcomes using early quantitative EEG.

Saved in:
Bibliographic Details
Title: Predicting pediatric cardiac arrest outcomes using early quantitative EEG.
Authors: Benedetti GM; Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Division of Pediatric Neurology, Seattle Children's Hospital, University of Washington. Seattle, WA, USA; Department of Pediatrics, Division of Pediatric Neurology, C.S. Mott Children's Hospital, University of Michigan. Ann Arbor, MI, USA. Electronic address: gbenedet@med.umich.edu., Pardo AC; Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA., Nelson Sanchez-Pinto L; Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA., Straley M; Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, CO, USA., Wainwright MS; Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Division of Pediatric Neurology, Seattle Children's Hospital, University of Washington. Seattle, WA, USA., Kurz JE; Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA., Press CA; Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, CO, USA; Departments of Neurology and Pediatrics, Children's Hospital of Philadelphia and the University of Pennsylvania, Philadelphia, PA, USA.
Source: Resuscitation [Resuscitation] 2026 Jan; Vol. 218, pp. 110838. Date of Electronic Publication: 2025 Sep 24.
Publication Type: Journal Article; Multicenter Study; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier/north-Holland Biomedical Press Country of Publication: Ireland NLM ID: 0332173 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1570 (Electronic) Linking ISSN: 03009572 NLM ISO Abbreviation: Resuscitation Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-1570
DOI:10.1016/j.resuscitation.2025.110838