A Regression Model to Predict Augmented Renal Clearance in Critically Ill Obstetric Patients and Effects on Vancomycin Treatment

A Regression Model to Predict Augmented Renal Clearance in Critically Ill Obstetric Patients and Effects on Vancomycin Treatment

Background: Augmented renal clearance (ARC) risk factors and effects on vancomycin (VCM) of obstetric patients were possibly different from other populations based on pathophysiological characteristics. Our study was to establish a regression model for prediction of ARC and analyze the effects of AR...

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Bibliographic Details
Main Authors: Lian Tang, Xin-yuan Ding, Lu-fen Duan, Lan Li, Hao-di Lu, Feng Zhou, Lu Shi, Jian Lu, Yi Shen, Zhi-wei Zhuang, Jian-tong Sun, Qin Zhou, Chen-qi Zhu, Jing-jing Li, Yan-xia Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Pharmacology
Subjects:
augmented renal clearance
critically ill obstetric patients
regression model
vancomycin
population pharmacokinetic model
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2021.622948/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2021.622948/full

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