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. 2021 Mar 15:2021:6684818.
doi: 10.1155/2021/6684818. eCollection 2021.

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

Xinyuan Guo  1 , Yanfang Geng  2 , Lei Zhang  3 , Shiping Niu  4 , Jiang Xue  1
Affiliations

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

Xinyuan Guo et al. J Healthc Eng. .

Retraction in

Abstract

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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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1
Figure 1
Schematic diagram of the mechanism of PVL.
Figure 2
Figure 2
Schematic diagram of the principle of evaluating the state of white matter development based on the combination of multiparameter changes.
Figure 3
Figure 3
MRI follow-up of brain injury in premature infants.
Figure 4
Figure 4
Electrode placement and brain function monitoring.
Figure 5
Figure 5
Comparison of continuity and SWC between the two groups.
Figure 6
Figure 6
aEEG background activity control of continuous normal voltage in preterm infants.
Figure 7
Figure 7
aEEG background activity of discontinuous voltage in HIE premature infants.
Figure 8
Figure 8
Comparison of the highest and lowest voltages between the two groups.
Figure 9
Figure 9
Continuous low-voltage aEEG background activities in HIE premature infants.
Figure 10
Figure 10
aEEG background activity for HIE outbreak suppression in early births.
Figure 11
Figure 11
aEEG result distribution at admission.
Figure 12
Figure 12
EEG results and 12-month-old DQ distribution before discharge.
See this image and copyright information in PMC

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