Nomograms for postoperative complications in congenital biliary dilatation: a retrospective cohort study.

ABSTRACT:

Objective

Postoperative complications after surgery for congenital biliary dilatation (CBD) can be life-threatening and often necessitate redo surgery. We aimed to predict postoperative complications in patients with CBD using machine learning (ML) algorithms.

Study design

Data from pediatric patients with CBD who were surgically treated at our hospital between July 2014 and July 2023 was retrospectively analyzed. Multiple logistic regression and lasso regression were used to screen risk factors. Predictive models were developed using seven ML algorithms and the better-performing model was selected.

Results

A total of 211 patients were included in the final analysis. Among these, 31 patients experienced complications (cholangitis: 14 patients; pancreatitis: 21 patient

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC12602394 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature