Literature DB >> 32592111

Drug dosing during pregnancy-opportunities for physiologically based pharmacokinetic models.

Khaled Abduljalil1, Raj K Singh Badhan2.   

Abstract

Drugs can have harmful effects on the embryo or the fetus at any point during pregnancy. Not all the damaging effects of intrauterine exposure to drugs are obvious at birth, some may only manifest later in life. Thus, drugs should be prescribed in pregnancy only if the expected benefit to the mother is thought to be greater than the risk to the fetus. Dosing of drugs during pregnancy is often empirically determined and based upon evidence from studies of non-pregnant subjects, which may lead to suboptimal dosing, particularly during the third trimester. This review collates examples of drugs with known recommendations for dose adjustment during pregnancy, in addition to providing an example of the potential use of PBPK models in dose adjustment recommendation during pregnancy within the context of drug-drug interactions. For many drugs, such as antidepressants and antiretroviral drugs, dose adjustment has been recommended based on pharmacokinetic studies demonstrating a reduction in drug concentrations. However, there is relatively limited (and sometimes inconsistent) information regarding the clinical impact of these pharmacokinetic changes during pregnancy and the effect of subsequent dose adjustments. Examples of using pregnancy PBPK models to predict feto-maternal drug exposures and their applications to facilitate and guide dose assessment throughout gestation are discussed.

Keywords:  Dosing adjustment; Fetal exposure; Physiologically-based pharmacokinetic model; Pregnancy

Year:  2020        PMID: 32592111     DOI: 10.1007/s10928-020-09698-w

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  12 in total

1.  Physiologically based pharmacokinetic (PBPK) modeling of piroxicam with regard to CYP2C9 genetic polymorphism.

Authors:  Chang-Keun Cho; Pureum Kang; Hye-Jung Park; Eunvin Ko; Chou Yen Mu; Yun Jeong Lee; Chang-Ik Choi; Hyung Sik Kim; Choon-Gon Jang; Jung-Woo Bae; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-05-31       Impact factor: 4.946

2.  Physiologically based pharmacokinetic modelling to predict the pharmacokinetics of metoprolol in different CYP2D6 genotypes.

Authors:  Choong-Min Lee; Pureum Kang; Chang-Keun Cho; Hye-Jung Park; Yun Jeong Lee; Jung-Woo Bae; Chang-Ik Choi; Hyung Sik Kim; Choon-Gon Jang; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-06-28       Impact factor: 4.946

3.  Physiologically based pharmacokinetic (PBPK) modeling of flurbiprofen in different CYP2C9 genotypes.

Authors:  Sang-Sup Whang; Chang-Keun Cho; Eui Hyun Jung; Pureum Kang; Hye-Jung Park; Yun Jeong Lee; Chang-Ik Choi; Jung-Woo Bae; Hyung Sik Kim; Choon-Gon Jang; Seok-Yong Lee
Journal:  Arch Pharm Res       Date:  2022-08-26       Impact factor: 6.010

4.  Application of a Physiologically Based Pharmacokinetic Model to Predict Cefazolin and Cefuroxime Disposition in Obese Pregnant Women Undergoing Caesarean Section.

Authors:  Hanadi H Alrammaal; Khaled Abduljalil; Victoria Hodgetts Morton; R Katie Morris; John F Marriott; Hsu P Chong; Hannah K Batchelor
Journal:  Pharmaceutics       Date:  2022-05-30       Impact factor: 6.525

5.  Application of a Physiologically Based Pharmacokinetic Approach to Predict Theophylline Pharmacokinetics Using Virtual Non-Pregnant, Pregnant, Fetal, Breast-Feeding, and Neonatal Populations.

Authors:  Khaled Abduljalil; Iain Gardner; Masoud Jamei
Journal:  Front Pediatr       Date:  2022-05-12       Impact factor: 3.569

6.  Prediction of Maternal and Fetal Acyclovir, Emtricitabine, Lamivudine, and Metformin Concentrations during Pregnancy Using a Physiologically Based Pharmacokinetic Modeling Approach.

Authors:  Khaled Abduljalil; Amita Pansari; Jia Ning; Masoud Jamei
Journal:  Clin Pharmacokinet       Date:  2022-01-24       Impact factor: 6.447

7.  Physiologically Based Pharmacokinetic Modeling in Pregnant Women Suggests Minor Decrease in Maternal Exposure to Olanzapine.

Authors:  Liang Zheng; Hongyi Yang; André Dallmann; Xuehua Jiang; Ling Wang; Wei Hu
Journal:  Front Pharmacol       Date:  2022-01-19       Impact factor: 5.810

8.  Re-orienting anti-malarial drug development to better serve pregnant women.

Authors:  Myriam El Gaaloul; Belen Tornesi; Flynn Lebus; David Reddy; Wiweka Kaszubska
Journal:  Malar J       Date:  2022-04-12       Impact factor: 2.979

9.  A pharmacometrician's role in enhancing medication use in pregnancy and lactation.

Authors:  Sara K Quinney; Peter L Bonate
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-08       Impact factor: 2.745

10.  PBPK Modeling Approach to Predict the Behavior of Drugs Cleared by Kidney in Pregnant Subjects and Fetus.

Authors:  Ke Xu Szeto; Maxime Le Merdy; Benjamin Dupont; Michael B Bolger; Viera Lukacova
Journal:  AAPS J       Date:  2021-06-24       Impact factor: 4.009

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