Evidence map›Paper›PMID 35346111›Full record

Observational studyBMC pediatrics2022

EEG monitoring during anesthesia in children aged 0 to 18 months: amplitude-integrated EEG and age effects.

Barbara Schultz, Michael Schultz, Martin Boehne, Nils Dennhardt

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Neurodevelopmental forecasting in preterms: aEEG at 32 weeks vs. MRI at term in predicting 2-year outcomes.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Accurate prediction of neurologic changes in critically ill infants using pose AI.medRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
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

4 authors at 2 institutions in 2 countries.

Barbara SchultzDepartment of Anesthesiology and Intensive Care Medicine, Hannover Medical School, Hannover, Germany. schultz.barbara@mh-hannover.de.
Michael SchultzMedical University of Vienna, Vienna, Austria.
Martin BoehneDepartment of Pediatric Cardiology and Intensive Care Medicine, Hannover Medical School, Hannover, Germany.
Nils DennhardtDepartment of Anesthesiology and Intensive Care Medicine, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DEMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe amplitude-integrated EEG (aEEG) is a widely used monitoring tool in neonatology / pediatric intensive care. It takes into account the amplitudes, but not the frequency composition, of the EEG. Advantages of the aEEG are clear criteria for interpretation and time compression. During the first year of life, the electroencephalogram (EEG) during sedation / anesthesia changes from a low-differentiated to a differentiated EEG; higher-frequency waves develop increasingly. There are few studies on the use of aEEG during pediatric anesthesia. A systematic evaluation of the aEEG in defined EEG stages during anesthesia / sedation is not yet available. Parameters of pediatric EEGs (power, median frequency, spectral edge frequency) recorded during anesthesia and of the corresponding aEEGs (upper and lower value of the aEEG trace) should be examined for age-related changes. Furthermore, it should be examined whether the aEEG can distinguish EEG stages of sedation / anesthesia in differentiated EEGs.

methodsIn a secondary analysis of a prospective observational study EEGs and aEEGs (1-channel recordings, electrode positions on forehead) of 50 children (age: 0-18 months) were evaluated. EEG stages: A (awake), Slow EEG, E

resultsMedian and spectral edge frequency increased significantly with age (p < 0.001 each). In low-differentiated EEGs, the power of the Slow EEG increased significantly with age (p < 0.001). In differentiated EEGs, the power increased significantly with age in each of the EEG stages B

conclusionsThe aEEG was not suitable for distinguishing EEG stages above the burst suppression range. For this purpose, the frequency composition of the EEG should be taken into account.

Indexed as

AnesthesiaElectroencephalographyChildHumansInfantInfant, NewbornProspective StudiesaEEGAnesthesiaClassificationElectroencephalogramPediatric ICUSedation

Identifiers

PMID35346111
PMCPMC8962600
OpenAlexW4221031233

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.