Vancomycin trough concentration in adult patients with periprosthetic joint infection: A machine learning-based covariate model.

Yue-Wen ChenXi-Kai LinChen HuangWei WuWei-Wei LinSi ChenZong-Xing LuYa-Yi YouZhou-Jie Liu

Published in: British journal of clinical pharmacology (2024)

The proposed ML-based model can satisfactorily predict the VCM trough concentration in adult PJI patients. Its construction can be facilitated with only 2 clinical parameters (estimated glomerular filtration rate and VCM daily dose), and prediction accuracy can be rationalized by SHAP values, which highlights a profound practical value for clinical dosing guidance and timely treatment.

Keyphrases

machine learning
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
intellectual disability
patient reported outcomes
autism spectrum disorder
total hip arthroplasty
replacement therapy
smoking cessation
high density