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

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Date: June 11, 2021
Publisher: Frontiers Research Foundation
Document Type: Article
Length: 436 words
Lexile Measure: 1270L

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Author(s): 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

<bold>Background:</bold> 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 ARC on VCM treatment in critically ill obstetric patients.

<bold>Methods:</bold> We retrospectively included 427 patients, grouped into ARC and non-ARC patients. Logistic regression analysis was used to analyze the factors related to ARC. Receiver operating characteristic...

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Gale Document Number: GALE|A664884249