Evidence map›Paper›PMID 29705390›Full record

ArticlePediatrics and neonatology2019

Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study.

Anneleen Dereymaeker, Vladimir Matic, Jan Vervisch, Perumpillichira J Cherian, Amir H Ansari, Ofelie De Wel, Paul Govaert, Maarten De Vos, Sabine Van Huffel, Gunnar Naulaers and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Pediatrics and neonatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 5% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  9. Neurophysiological changes associated with dysglycemia in term neonates with neonatal encephalopathy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
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  17. Cytokine and chemokine responses to injury and treatment in a nonhuman primate model of hypoxic-ischemic encephalopathy treated with hypothermia and erythropoietin.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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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

11 authors at 5 institutions in 5 countries.

Anneleen DereymaekerDepartment of Development and Regeneration, University Hospitals Leuven, Neonatal Intensive Care Unit, KU Leuven (University of Leuven), Leuven, Belgium. Electronic address: anneleen.dereymaeker@uzleuven.be.
Vladimir MaticDivision STADIUS, Department of Electrical Engineering (ESAT), KU Leuven (University of Leuven), Leuven, Belgium; Faculty of Technical Science, Singidunum University, Belgrade, Serbia.
Jan VervischDepartment of Development and Regeneration, University Hospitals Leuven, Neonatal Intensive Care Unit, KU Leuven (University of Leuven), Leuven, Belgium; Department of Development and Regeneration, University Hospitals Leuven, Child Neurology, KU Leuven (University of Leuven), Leuven, Belgium.
Perumpillichira J CherianSection of Clinical Neurophysiology, Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Division of Neurology, Department of Medicine, McMaster University, Hamilton, Canada.
Amir H AnsariDivision STADIUS, Department of Electrical Engineering (ESAT), KU Leuven (University of Leuven), Leuven, Belgium; Imec KU Leuven Medical IT Department, Leuven, Belgium.
Ofelie De WelDivision STADIUS, Department of Electrical Engineering (ESAT), KU Leuven (University of Leuven), Leuven, Belgium; Imec KU Leuven Medical IT Department, Leuven, Belgium.
Paul GovaertSection of Neonatology, Department of Pediatrics, Sophia Children's Hospital, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Section of Neonatology, ZNA Middelheim, Antwerp, Belgium.
Maarten De VosInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Sabine Van HuffelDivision STADIUS, Department of Electrical Engineering (ESAT), KU Leuven (University of Leuven), Leuven, Belgium; Imec KU Leuven Medical IT Department, Leuven, Belgium.
Gunnar NaulaersDepartment of Development and Regeneration, University Hospitals Leuven, Neonatal Intensive Care Unit, KU Leuven (University of Leuven), Leuven, Belgium.
Katrien JansenDepartment of Development and Regeneration, University Hospitals Leuven, Neonatal Intensive Care Unit, KU Leuven (University of Leuven), Leuven, Belgium; Department of Development and Regeneration, University Hospitals Leuven, Child Neurology, KU Leuven (University of Leuven), Leuven, Belgium.
KU Leuven · BEErasmus MC · NLIMEC · BESingidunum University · RSUniversity of Oxford · GB

Funding

Wellcome Trust 098461Wellcome Trust 098461/Z/12/Z
6 · The paper itself

Abstract

backgroundTo improve the objective assessment of continuous video-EEG (cEEG) monitoring of neonatal brain function, the aim was to relate automated derived amplitude and duration parameters of the suppressed periods in the EEG background (dynamic Interburst Interval= dIBIs) after neonatal hypoxic-ischemic encephalopathy (HIE) to favourable or adverse neurodevelopmental outcome.

methodsNineteen neonates (gestational age 36-41 weeks) with HIE underwent therapeutic hypothermia and had cEEG-monitoring. EEGs were retrospectively analyzed with a previously developed algorithm to detect the dynamic Interburst Intervals. Median duration and amplitude of the dIBIs were calculated at 1 h-intervals. Sensitivity and specificity of automated EEG background grading for favorable and adverse outcomes were assessed at 6 h-intervals.

resultsDynamic IBI values reached the best prognostic value between 18 and 24 h (AUC of 0.93). EEGs with dIBI amplitude ≥15 μV and duration <10 s had a specificity of 100% at 6-12 h for favorable outcome but decreased subsequently to 67% at 25-42 h. Suppressed EEGs with dIBI amplitude <15 μV and duration >10 s were specific for adverse outcome (89-100%) at 18-24 h (n = 10). Extremely low voltage and invariant EEG patterns were indicative of adverse outcome at all time points.

conclusionsAutomated analysis of the suppressed periods in EEG of neonates with HIE undergoing TH provides objective and early prognostic information. This objective tool can be used in a multimodal strategy for outcome assessment. Implementation of this method can facilitate clinical practice, improve risk stratification and aid therapeutic decision-making. A multicenter trial with a quantifiable outcome measure is warranted to confirm the predictive value of this method in a more heterogeneous dataset.

Indexed as

Hypothermia, InducedAlgorithmsElectroencephalographyFemaleHumansHypoxia-Ischemia, BrainInfant, NewbornMalePilot ProjectsPrognosisRetrospective StudiesSensitivity and Specificityautomated EEG analysisdynamic Interburst Intervalhypoxic-ischemic encephalopathyoutcome prediction

Identifiers

PMID29705390
PMCPMC6372079
OpenAlexW2795693435

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LicenceCC BY-NC-ND
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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.