Determining steady-state trough range in vancomycin drug dosing using machine learning.

Journal: Journal of critical care

PMID: 38503008

Abstract

BACKGROUND: Vancomycin is a renally eliminated, nephrotoxic, glycopeptide antibiotic with a narrow therapeutic window, widely used in intensive care units (ICU). We aimed to predict the risk of inappropriate vancomycin trough levels and appropriate dosing for each ICU patient.

Authors

M Samie Tootooni

Department of Health Informatics and Data Science, Loyola University Chicago, Maywood, IL, United States of America. Electronic address: mtootooni@luc.edu.
Erin F Barreto

Department of Pharmacy, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
Phichet Wutthisirisart

Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America.
Kianoush B Kashani

Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Kalyan S Pasupathy

Mayo Clinic Rochester, MN.

Keywords

Adult Aged Anti-Bacterial Agents Critical Illness Drug Monitoring Female Humans Intensive Care Units Machine Learning Male Middle Aged Retrospective Studies Vancomycin

External Resources

View on PubMed Access via DOI PubMed (38503008)

Determining steady-state trough range in vancomycin drug dosing using machine learning.

Abstract

Authors

Keywords

External Resources

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