Characteristics of video electroencephalogram and cranial magnetic resonance imaging in newborns with inherited metabolic disorders and predictive value for prognosis
10.3760/cma.j.issn.2096-2932.2021.05.010
- VernacularTitle:新生儿遗传代谢病视频脑电图和头颅磁共振特点及其对预后的预测价值
- Author:
Suhua XU
1
;
Yan XU
;
Lin YANG
;
Peng ZHANG
;
Liyuan HU
;
Chunmei LU
;
Wenhao ZHOU
;
Guoqiang CHENG
Author Information
1. 复旦大学附属儿科医院新生儿科，上海 201102
- Keywords:
Inborn errors of metabolism;
Electroencephalogram;
Video;
Infants, newborn
- From:Chinese Journal of Neonatology
2021;36(5):45-49
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study the characteristics of video electroencephalogram (VEEG) and cranial magnetic resonance imaging (MRI) in neonates with inborn errors of metabolism (IEM) and to determine the predictive value for prognostic.Method:From June 2016 to December 2018, a retrospective study was performed on newborns diagnosed with IEM receiving VEEG examinations at the Neonatology Department of our hospital. VEEG and cranial MRI were used as prognostic indicators and the follow-up results were used as criteria predicting the accuracy of prognosis. The accuracy of the prediction was calculated using a 4 × 4 table.Result:A total of 21 eligible cases with 14 types of IEM were included. The most common type of IEM was organic acidemia (47.6%, 10/21). 16 cases (76.2%) had abnormal VEEG background patterns, including 8 cases of organic acidemia, 3 cases of urea cycle disorders, 1 case of energy metabolism disorder and 4 cases of other IEMs. No significant differences existed in the abnormality rate of VEEG background patterns among these groups ( P=0.882). VEEG showed 3 cases of seizures including 2 cases of electrographic-only seizures. Interburst interval durations were shortened on VEEG background with the decrease of blood ammonia level. The positive predictive values of the moderate-to-severe abnormal VEEG background and the presence of major cerebral lesions on MRI in predicting poor prognosis were 90.0% (95% CI 55.5%~99.7%) and 100% (95% CI 66.4%~100%), respectively, and the negative predictive values were 50.0% (95% CI 18.7%~81.3%) and 85.7% (95% CI 42.1%~99.6%), respectively. Conclusion:Neonates with IEM have higher incidences of abnormal VEEG. Continuous VEEG may accurately diagnose neonatal seizures and effectively monitor brain function. VEEG is a useful tool monitoring infants with IEM and predicting adverse outcomes, especially when used in combination with brain MRI.
