Evidence map›Paper›PMID 42092020›Full record

ArticlePediatric research2026

Continuous EEG monitoring after neonatal cardiac surgery: seizure incidence and prognostic background abnormalities.

Reilly Philliben, Jennifer Keene, Kathleen Campbell, Amanda Sandoval Karamian, Betsy Ostrander, Reilly Hobbs, Chanelle Stidham, Brent Kay, Kristi Glotzbach

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Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Reilly PhillibenDivision of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA. Reilly.Philliben@hsc.utah.edu.
Jennifer KeeneDivision of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Kathleen CampbellDivision of Developmental and Behavioral Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Amanda Sandoval KaramianDivision of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Betsy OstranderDivision of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Reilly HobbsSection of Pediatric Cardiothoracic Surgery, Division of Cardiothoracic Surgery, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA.
Chanelle StidhamDivision of Pharmacy, Primary Children's Hospital, Salt Lake City, UT, USA.
Brent KayDivision of Pharmacy, Primary Children's Hospital, Salt Lake City, UT, USA.
Kristi GlotzbachDivision of Critical Care Medicine, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonates undergoing cardiac surgery are at risk for neurologic injury, but seizure incidence under current practices is unclear. Continuous electroencephalography (cEEG) enables real-time monitoring, yet its prognostic role remains understudied. This study examines seizure incidence and the relationship between cEEG background features, perioperative factors, and neurobehavioral outcomes.

methodsWe conducted a retrospective single-center cohort study of 104 term and late-preterm neonates who underwent cardiac surgery with cardiopulmonary bypass. All patients received 48 h of postoperative cEEG. Interburst interval (IBI) severity was assessed at 24 and 48 h. Outcomes included complications, mortality, and attention scores on the Neonatal Intensive Care Unit Network Neurobehavioral Scale (NNNS).

resultsSeizure incidence was 1.9% (2/104). Excessive discontinuity was common: 52% showed moderate or severe IBI prolongation at 24 h. At 48 h, severe IBI was associated with increased risk of major complications (RR 6.1, 95% CI 2.7-14.2), mortality (RR 5.4, 95% CI 2.4-11.9), and abnormal attention scores (RR = 3.8, 95% CI 1.7-8.3).

conclusionSeizures were rare, but excessive discontinuity was common and correlated with adverse outcomes. These findings highlight the prognostic value of cEEG background features beyond seizure detection and support routine postoperative monitoring in neonates undergoing cardiac surgery. IMPACT: Despite rare seizures, moderate to severe EEG discontinuity was prevalent following neonatal cardiac surgery. Prolonged interburst intervals postoperatively were associated with a higher incidence of complications and mortality. Severity of discontinuity also correlated with lower attention scores on standardized neurobehavioral assessment. This study highlights the prognostic utility of postoperative continuous EEG background features, reinforcing its value beyond seizure detection. Incorporating these EEG markers could improve early risk stratification and guide targeted neuroprotective interventions in this high-risk population.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.