Improved mortality prediction for pediatric acute liver failure using dynamic prediction strategy.

ABSTRACT:

Objectives

To develop and validate a prediction tool for pediatric acute liver failure (PALF) mortality risks that captures the rapid and heterogeneous clinical course for accurate and updated prediction.

Methods

Data included 1144 participants with PALF enrolled during three phases of the PALF registry study over 15 years. Using joint modeling, we built a dynamic prediction tool for mortality by combining longitudinal trajectories of multiple laboratory and clinical variables. The predictive performance for 7-day and 21-day mortality was assessed using the area under curve (AUC) through cross-validation and split-by-time validation.

Results

We constructed a prognostic joint model that combines the temporal trajectories of international normalized ratio, total bilirub

SUBMITTER: Li R 

PROVIDER: S-EPMC10879686 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature