Evidence map›Paper›PMID 39544803›Full record

ArticleAmerican journal of translational research2024

Effectiveness of amplitude-integrated electroencephalography combined with neuron-specific enolase level in predicting neonatal brain injury and prognosis.

Xiaomeng Zhang, Guanghua Dai, Kun Li

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

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3 authors.

Xiaomeng ZhangDepartment of Neonatology, Baoji Maternity and Child Healthcare Hospital Baoji 721000, Shaanxi, China.
Guanghua DaiDepartment of Neonatology, Baoji Maternity and Child Healthcare Hospital Baoji 721000, Shaanxi, China.
Kun LiDepartment of Neonatology, Baoji Maternity and Child Healthcare Hospital Baoji 721000, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the value of amplitude-integrated electroencephalography (aEEG) combined with neuron-specific enolase (NSE) in the diagnosis and prognostic assessment of neonatal brain injury.

methodsClinical data from 94 neonates with brain injury and 90 neonates without, admitted to Baoji Maternity and Child Healthcare Hospital between September 2022 and February 2024, were retrospectively analyzed. The relationship between aEEG score, NSE level, and Neurobehavioral Neurological Assay (NBNA) score was analyzed by Pearson's correlation analysis. Independent factors affecting the prognosis of the neonates were identified by unifactorial and multifactorial analyses, and the predictive value was assessed using ROC curves.

resultsThe aEEG score was significantly lower while the NSE level was considerably higher in newborns with brain injury compared to those without (both P<0.001). aEEG score was positively correlated with the NBNA score (r=0.718, P<0.001), NSE level was negatively correlated with NBNA score (r=-0.785, P<0.001), and aEEG score was negatively correlated with NSE level (r=-0.749, P<0.001). The aEEG score and NSE level demonstrated good predictive value for neonatal brain injury, with AUC values of 0.903 and 0.897, respectively. The AUC of combined assessment was 0.917. Multifactorial analysis showed that intrauterine distress (OR: 3.385, 95% CI: 1.033-11.903, P=0.048) and higher NSE level (OR: 1.516, 95% CI: 1.117-2.136, P=0.011) were independent risk factors for poor prognosis of neonates with brain injury, while higher aEEG scores (OR: 0.587, 95% CI: 0.370-0.884, P=0.015) was an independent protective factor. Intrauterine distress, aEEG score, and NSE predicted poor prognostic outcomes with AUCs of 0.639, 0.809, and 0.827, and the combined diagnosis had an AUC of 0.871.

conclusionaEEG combined with NSE level can effectively predict neonatal brain injury and prognosis, providing a valuable reference for early diagnosis and intervention.

Indexed as

Amplitude-integrated electroencephalographyneonatal brain injuryneuron-specific enolaseprognosis

Identifiers

PMID39544803
PMCPMC11558382

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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.