Nephrocast-V: A Deep Learning Model for the Prediction of Vancomycin Trough Concentration Using Electronic Health Record Data.

ABSTRACT:

Introduction

Vancomycin is a critical antibiotic for treating methicillin-resistant Staphylococcus aureus and other gram-positive bacterial infections, but achieving and maintaining therapeutic trough concentrations is challenging.

Objectives

We hypothesized that a deep learning model could accurately predict vancomycin trough concentrations 2 days in advance in critically ill patients and provide recommendations for optimal dosing adjustments to achieve target drug concentrations.

Methods

We trained and validated the model using electronic health record (EHR) data from adults admitted to the University of California San Diego Health system intensive care units (ICUs) from January 1, 2016, to June 30, 2024. Features included patient demographics, comorbidities, vital

SUBMITTER: Ghanbari G 

PROVIDER: S-EPMC12674970 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature