Evidence map›Paper›PMID 35709730›Full record

Observational studyAmerican journal of perinatology2024

An Amplitude-Integrated EEG Evaluation of Neonatal Opioid Withdrawal Syndrome.

Christopher Lust, Zachary Vesoulis, John Zempel, Hongjie Gu, Stephanie Lee, Rakesh Rao, Amit M Mathur

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of perinatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 3 institutions in 1 country.

Christopher LustDepartment of Neonatology, Children's Minnesota NICU, St. Louis, Missouri.
Zachary VesoulisDivision of Newborn Medicine, Department of Pediatrics, Washington University in St Louis School of Medicine, St Louis, Missouri.
John ZempelDepartment of Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri.
Hongjie GuDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri.
Stephanie LeeDivision of Newborn Medicine, Department of Pediatrics, Washington University in St Louis School of Medicine, St Louis, Missouri.
Rakesh RaoDivision of Newborn Medicine, Department of Pediatrics, Washington University in St Louis School of Medicine, St Louis, Missouri.
Amit M MathurDivision of Neonatal-Perinatal Medicine, Department of Pediatrics, Saint Louis University, St. Louis, Missouri.
Washington University in St. Louis · USChildren's Minnesota · USSaint Louis University · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIH/NCATS UL1 TR000448 The Barnes-Jewish Hospital Foundation and the Washington University Institute of Clinical and Translational SciencesNIH/NCATS UL1 TR000448 The Barnes-Jewish Hospital Foundation and the Washington University Institute of Clinical and Translational Sciences Clinical and Translational Funding ProgramThe Barnes-Jewish Hospital Foundation and the Washington University Institute of Clinical and Translational Sciences NIH/NCATS UL1 TR000448
6 · The paper itself

Abstract

objectiveInfants with neonatal opioid withdrawal syndrome (NOWS) have disrupted neurobehavior that requires hospitalization and treatment. This article aimed to evaluate electroencephalography (EEG) abnormalities using amplitude-integrated EEG (aEEG) in NOWS. STUDY

designEighteen term born infants with NOWS were recruited prospectively for an observational pilot study. aEEG monitoring was started within 24 hours of recruitment and twice weekly through discharge. aEEG data were analyzed for background and seizures. Severity of withdrawal was monitored using the modified Finnegan scoring (MFS) system.

resultsFifteen neonates had complete datasets. Thirteen (87%) had continuous aEEG background in all recordings. None had sleep-wake cyclicity (SWC) at initial recording. Brief seizures were noted in 9 of 15 (60%) infants. Lack of SWC was associated with higher MFS scores. At discharge, 8 of 15 (53%) had absent or emerging SWC.

conclusionaEEG abnormalities (absent SWC) are frequent and persist despite treatment at the time of discharge in the majority of patients with NOWS. Brief electrographic seizures are common. Neonates with persistent aEEG abnormalities at discharge warrant close follow-up. KEY POINTS: · EEG abnormalities are common and persist after clinical signs resolve in patients with NOWS.. · Short subclinical seizures may be seen.. · aEEG may identify neonates who need follow-up..

Indexed as

ElectroencephalographyNeonatal Abstinence SyndromeSeizuresAnalgesics, OpioidFemaleHumansInfant, NewbornMalePilot ProjectsProspective StudiesAnalgesics, Opioid

Identifiers

PMID35709730
PMCPMC10008470
OpenAlexW4283020087

What OpenQuestion holds

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Read underepoch 390

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.