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Analysis of video-electroencephalography in relatively normal very premature infants / 中国新生儿科杂志
Chinese Journal of Neonatology ; (6): 429-433, 2019.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-823851
Responsible library: WPRO
ABSTRACT
Objective To study the video-electroencephalography (vEEG) background activities of very premature infants within the first 7 days after birth.Method The inclusion criteria were gestational age (GA) within 31 weeks and bedside vEEG monitoring within first 7 days of birth.Those with severe cranial ultrasound (CUS) findings,refused treatment,dead and with seizures on vEEG were excluded.The clinical information of included cases were reviewed and the continuity and sleep-wake cycle (SWC) on their EEG background activities were analysed.Result From June 2017 to April 2018,a total of 56 cases were included.Their GA were (29.4 ± 1.6) weeks,and birth weight were (1 306 ± 316) g.A total of 31 cases were diagnosed with asphyxia(1 min Apgar score less than 8),and no one with 5 min Apgar score below 5.Their umbilical artery blood pHs were 7.29 ± 0.07.Their first CUS and the CUS at corrected gestational age (cGA) full term were all within the normal range.The Gesell neurological assessment at cGA 6 months were all within the normal range.As the cGA increased,the continuity of EEG background activities became more continuous as the normal continuous/discontinuous pattern.The 95% confidence interval of max interburst interval was 95 s.The SWC first occurred at GA 26 w,but was immature,then became mature as the cGA increased.Conclusion The EEG background activity analysis of relatively normal very premature infants within first week shows that interburst interval can be longer than the previous report,and the SWC first appear at GA 26 w.

Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Neonatology Year: 2019 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Neonatology Year: 2019 Document type: Article
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