Utilizing deep learning-based causal inference to explore vancomycin’s impact on continuous kidney replacement therapy necessity in blood culture-positive intensive care unit patients

Utilizing deep learning-based causal inference to explore vancomycin’s impact on continuous kidney replacement therapy necessity in blood culture-positive intensive care unit patients

ABSTRACT Patients with positive blood cultures in the intensive care unit (ICU) are at high risk for septic acute kidney injury requiring continuous kidney replacement therapy (CKRT), especially when treated with vancomycin. This study developed a machine learning model to predict CKRT and examined...

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Bibliographic Details
Main Authors: Min Woo Kang, Yoonjin Kang
Format: Article
Language:English
Published: American Society for Microbiology 2025-01-01
Series:Microbiology Spectrum
Subjects:
blood culture positive
continuous kidney replacement therapy
vancomycin
machine learning
deep learning
causal inference
Online Access:https://journals.asm.org/doi/10.1128/spectrum.02662-24
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https://journals.asm.org/doi/10.1128/spectrum.02662-24

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