Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning-Based Two-Compartment Predictive Model: Development and Validation Study.

Bingyu Mao¹, Ziqian Xie¹, Laila Rasmy¹, Masayuki Nigo², Degui Zhi¹

¹McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin, Suite 600, Houston, TX, United States, 1 713-500-3629, 1 713-500-3929.

²Division of Infectious Diseases, Houston Methodist, Houston, TX, United States.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Vancomycin is a widely used antibiotic that requires therapeutic drug monitoring (TDM) for optimized individual dosage. A deep learning-based model, pharmacokinetic recurrent neural network-1 compartment model (PKRNN-1CM), has shown the advantage of leveraging time-series electronic health record data for individualized estimation of vancomycin pharmacokinetic (PK) parameters. While 1-…

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