Development and Validation of Novel Diagnostic Models for Biliary Atresia in a Large Cohort of Chinese Patients.

ABSTRACT:

Background & aims

The overlapping features of biliary atresia (BA) and the other forms of neonatal cholestasis (NC) with different causes (non-BA) has posed challenges for the diagnosis of BA. This study aimed at developing new and better diagnostic models for BA.

Methods

We retrospectively analyzed data from 1728 newborn infants with neonatal obstructive jaundice (NOJ). New prediction models, including decision tree (DT), random forest (RF), and multivariate logistic regression-based nomogram for BA were created and externally validated in an independent set of 508 infant patients.

Results

Fiver predictors, including gender, weight, direct bilirubin (DB), alkaline phosphatase (ALP), and gamma-glutamyl transpeptidase (GGT) were significantly different between the BA a

SUBMITTER: Dong R 

PROVIDER: S-EPMC6116426 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature