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Dataset Information

Amplitude-integrated electroencephalography improves the predictive ability of acute bilirubin encephalopathy.


ABSTRACT:

Background

To establish a clinical prediction model of acute bilirubin encephalopathy (ABE) using amplitude-integrated electroencephalography (aEEG).

Methods

A total of 114 neonatal hyperbilirubinemia patients in the Beijing Chaoyang Hospital from August 2015 to October 2018 were enrolled in this study. There were 62 (54.38%) males, and the age of patients undergoing aEEG examination was 2-23 days, with an average of 7.61±4.08 days. Participant clinical information, peak bilirubin value, albumin value, hyperbilirubinemia, and the graphic indicators of aEEG were extracted from medical records, and ABE was diagnosed according to a bilirubin-induced neurological dysfunction (BIND) score >0. Multivariable logistic regression was used to establish a clinical prediction model of A

SUBMITTER: Chang H 

PROVIDER: S-EPMC8041610 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature