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

• Main Authors: Lian Tang (Author), Xin-yuan Ding (Author), Lu-fen Duan (Author), Lan Li (Author), Hao-di Lu (Author), Feng Zhou (Author), Lu Shi (Author), Jian Lu (Author), Yi Shen (Author), Zhi-wei Zhuang (Author), Jian-tong Sun (Author), Qin Zhou (Author), Chen-qi Zhu (Author), Jing-jing Li (Author), Yan-xia Yu (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...