Evidence map›Paper›PMID 25838043›Full record

ArticlePediatric neurology2015

Amplitude-integrated EEG in newborns with critical congenital heart disease predicts preoperative brain magnetic resonance imaging findings.

Sarah B Mulkey, Vivien L Yap, Shasha Bai, Raghu H Ramakrishnaiah, Charles M Glasier, Renee A Bornemeier, Michael L Schmitz, Adnan T Bhutta

Registry-linked trialAbstract read
In one paragraph

Article in Pediatric neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05658965 (Intérêt de l'électroencéphalogramme précoce en Chirurgie de Cardiopathie congénitale Pour prédire la Survenue de Troubles du neurodéveloppement), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05658965 recruitingnot on this mapstarted 2022, after this paper: background citation

Intérêt de l'électroencéphalogramme précoce en Chirurgie de Cardiopathie congénitale Pour prédire la Survenue de Troubles du neurodéveloppement

TypeobservationalSponsorUniversity Hospital, LilleRan2022 to 2026Enrolled50ConditionsNeurodevelopmental Disorders, Congenital Cardiomyopathy
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
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  17. Sleep Disturbances in Newborns.Children (Basel, Switzerland) · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sarah B MulkeyDepartment of Pediatrics, Section of Pediatric Neurology, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock, Arkansas. Electronic address: mulkeysarah@uams.edu.
Vivien L YapDepartment of Pediatrics, Section of Neonatology, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock, Arkansas.
Shasha BaiDepartment of Pediatrics, Section of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Raghu H RamakrishnaiahDepartment of Radiology, Section of Pediatric Neuroradiology, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock, Arkansas.
Charles M GlasierDepartment of Radiology, Section of Pediatric Neuroradiology, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock, Arkansas.
Renee A BornemeierDepartment of Pediatrics, Section of Cardiology, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock, Arkansas.
Michael L SchmitzDepartment of Anesthesiology, Section of Pediatric Cardiothoracic Anesthesia, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock, Arkansas.
Adnan T BhuttaDepartment of Pediatrics, Section of Critical Care, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock, Arkansas.

Funding

Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
Telemedicine CoreP30GM110702 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI GARCIA-RILL, EDGAR E. · 2014 to 2018
$6.1M
Center for Translational NeuroscienceP20GM103425 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI GARCIA-RILL, EDGAR E. · 2012 to 2013
$4.1M
Arkansas Center for Clinical Translational ResearchKL2TR000063 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$459k
NCATS NIH HHS KL2 TR000063NCATS NIH HHS KL2TR000063NCATS NIH HHS UL1 TR000039NCATS NIH HHS UL1TR000039NIGMS NIH HHS P20 GM103425NIGMS NIH HHS P30 GM110702
6 · The paper itself

Abstract

objectiveThe study aims are to evaluate cerebral background patterns using amplitude-integrated electroencephalography in newborns with critical congenital heart disease, determine if amplitude-integrated electroencephalography is predictive of preoperative brain injury, and assess the incidence of preoperative seizures. We hypothesize that amplitude-integrated electroencephalography will show abnormal background patterns in the early preoperative period in infants with congenital heart disease that have preoperative brain injury on magnetic resonance imaging.

methodsTwenty-four newborns with congenital heart disease requiring surgery at younger than 30 days of age were prospectively enrolled within the first 3 days of age at a tertiary care pediatric hospital. Infants had amplitude-integrated electroencephalography for 24 hours beginning close to birth and preoperative brain magnetic resonance imaging. The amplitude-integrated electroencephalographies were read to determine if the background pattern was normal, mildly abnormal, or severely abnormal. The presence of seizures and sleep-wake cycling were noted. The preoperative brain magnetic resonance imaging scans were used for brain injury and brain atrophy assessment.

resultsFifteen of 24 infants had abnormal amplitude-integrated electroencephalography at 0.71 (0-2) (mean [range]) days of age. In five infants, the background pattern was severely abnormal. (burst suppression and/or continuous low voltage). Of the 15 infants with abnormal amplitude-integrated electroencephalography, 9 (60%) had brain injury. One infant with brain injury had a seizure on amplitude-integrated electroencephalography. A severely abnormal background pattern on amplitude-integrated electroencephalography was associated with brain atrophy (P = 0.03) and absent sleep-wake cycling (P = 0.022).

conclusionBackground cerebral activity is abnormal on amplitude-integrated electroencephalography following birth in newborns with congenital heart disease who have findings of brain injury and/or brain atrophy on preoperative brain magnetic resonance imaging.

Indexed as

BrainBrain InjuriesElectroencephalographyFemaleHeart Defects, CongenitalHumansHypoxia-Ischemia, BrainInfant, NewbornMagnetic Resonance ImagingMalePreoperative Carebrain injurycongenital heart diseaseelectroencephalographyneuromonitoringnewbornseizures

Identifiers

PMID25838043
PMCPMC4442075

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Registered trials

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.