Perinatal factors associated with amplitude-integrated electroencephalography abnormalities in preterm infants on the first day of life

Castro, Jarbas C.; Leslie, Ana Teresa Figueiredo Stochero; Guinsburg, Ruth

doi:10.1016/j.jped.2019.06.004

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…is classification method is mainly used to evaluate term premature infants or normal premature infants. Researchers have proposed a classification method of EEG background activity, based on EEG terminology, including the classification of sleep-wake cycles that can be used in all preterm infants [12][13][14]. ese two classification methods are complementary to each other and can evaluate the aEEG of premature infants well.…”

Section: Introductionmentioning

confidence: 99%

Early Diagnosis of Brain Injury in Premature Infants Based on Amplitude-Integrated EEG Scoring System

Guo

Geng

Zhang

et al. 2021

Journal of Healthcare Engineering

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Analyzing and discussing the relationship between brain injury in preterm infants and related risk factors can provide evidence for perinatal prevention and early intervention of brain injury in preterm infants, thereby improving the quality of life of preterm infants. This paper selects term preterm infants diagnosed with preterm infant asphyxia in the NICU of a university’s First Affiliated Hospital from January 2018 to February 2019 as the research object. In addition, healthy term infants born at the same time in the obstetric department of this hospital are selected as the control group. Both groups of premature infants were monitored for brain function within 6 hours after birth. The aEEG results range from background activity (continuous normal voltage, discontinuous normal voltage, burst suppression, continuous low voltage, and plateau) and sleep-wake cycle (no sleep-wake cycle, immature, and mature sleep-wake cycle) to epileptic activity (single seizures, recurrent seizures, and status epilepticus), three aspects to judge. Statistical analysis uses SPSS 17.0 software. Amplitude-integrated EEG is a simplified form of continuous EEG recording. The trace of the trace represents the voltage change signal of the entire EEG background activity, which can reflect the EEG amplitude, frequency, burst-inhibition, and other pieces of information. aEEG can reflect the degree of HIE lesions in premature infants and the long-term prognosis. It is easy to operate and effective in diagnosis and can be continuously monitored. It is worthy of clinical popularization. There is a good correlation between the expression of EEG and biomarkers. Combining multiple methods can diagnose HIE earlier and evaluate the prognosis.

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Section: Introductionmentioning

confidence: 99%

Early Diagnosis of Brain Injury in Premature Infants Based on Amplitude-Integrated EEG Scoring System

Guo

Geng

Zhang

et al. 2021

Journal of Healthcare Engineering

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“…In our study, the first aEEG measurement of the subjects was recorded approximately after the first day of life. We can state that transition after birth and perinatal factors did not have much effect on the infants' amplitude-integrated electroencephalograms [13,25,33].…”

Section: Discussionmentioning

confidence: 79%

Trends in Amplitude-Integrated Electroencephalography in the Smallest Preterm Neonates

Štuikienė,

Griesmaier,

Aldakauskienė

et al. 2024

Children

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Background. Amplitude-integrated electroencephalography is increasingly used for the neuromonitoring of premature infants. However, it is still not clear how bioelectrical activity changes in the smallest gestational age newborns. The aim of our study was to evaluate the bioelectrical activity of amplitude-integrated electroencephalograms in premature newborns of different gestational age to assess how gestational age and postnatal age influence patterns of amplitude-integrated electroencephalograms and to test the hypothesis of whether the bioelectrical activity of the brain matures faster after the birth of premature newborns than in utero. Methods. We prospectively included infants born before 32 weeks of gestational age between June 2020 and July 2022. Serial recordings of amplitude-integrated electroencephalograms were performed at three time points of age (days 1–3, 13–15, and 27–29). Recordings were analyzed for background patterns, the onset and appearance of cyclicity, and lower amplitude border and bandwidth, which were used to derive a composite Burdjalov score. Results. In total, 140 premature neonates were included in the study, and 112 of them completed the study. The median gestational age of the newborns enrolled in the study was 29 (27–30) weeks, and the mean weight was 1206 (350) g. Burdjalov scores increased with increasing gestational age. Higher scores were observed in every dimension of the amplitude-integrated electroencephalograms for newborns of lower gestational age when compared to newborns of higher gestational age of the same postmenstrual age. There was a significant correlation between gestational age and parameters of amplitude-integrated electroencephalograms at all time points. Conclusions. A higher gestational age has a positive effect on the bioelectrical activity of amplitude-integrated electroencephalograms. Increasing postnatal age affected amplitude-integrated electroencephalograms more than gestational age. Our hypothesis that the bioelectrical activity of the brain matures faster for premature newborns after birth than in the womb was confirmed.

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Perinatal factors associated with amplitude-integrated electroencephalography abnormalities in preterm infants on the first day of life

Cited by 2 publications

References 25 publications

Early Diagnosis of Brain Injury in Premature Infants Based on Amplitude-Integrated EEG Scoring System

Early Diagnosis of Brain Injury in Premature Infants Based on Amplitude-Integrated EEG Scoring System

Trends in Amplitude-Integrated Electroencephalography in the Smallest Preterm Neonates

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