Development of a Generic Physiologically-Based Pharmacokinetic Model for Lactation and Prediction of Maternal and Infant Exposure to Ondansetron via Breast Milk
Kathleen M. Job
Division of Clinical Pharmacology, Department of Pediatrics, The University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorAndré Dallmann
Pharmacometrics/Modeling & Simulation, Research & Development, Bayer AG, Leverkusen, Germany
Search for more papers by this authorSamuel Parry
Division of Maternal-Fetal Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorGeorge Saade
University of Texas Medical Branch–Galveston, Galveston, Texas, USA
Search for more papers by this authorDavid M. Haas
Indiana University School of Medicine, Indianapolis, Indiana, USA
Search for more papers by this authorBrenna Hughes
Department of Obstetrics and Gynecology, Duke University, Durham, North Carolina, USA
Search for more papers by this authorPamela Berens
McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
Search for more papers by this authorKelsey Humphrey
The Emmes Company, LLC, Rockville, Maryland, USA
Search for more papers by this authorChristoph Hornik
Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
Search for more papers by this authorStephen Balevic
Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
Search for more papers by this authorKanecia Zimmerman
Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
Search for more papers by this authorCorresponding Author
Kevin Watt
Division of Clinical Pharmacology, Department of Pediatrics, The University of Utah, Salt Lake City, Utah, USA
Correspondence: Kevin Watt ([email protected])
Search for more papers by this authorKathleen M. Job
Division of Clinical Pharmacology, Department of Pediatrics, The University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorAndré Dallmann
Pharmacometrics/Modeling & Simulation, Research & Development, Bayer AG, Leverkusen, Germany
Search for more papers by this authorSamuel Parry
Division of Maternal-Fetal Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorGeorge Saade
University of Texas Medical Branch–Galveston, Galveston, Texas, USA
Search for more papers by this authorDavid M. Haas
Indiana University School of Medicine, Indianapolis, Indiana, USA
Search for more papers by this authorBrenna Hughes
Department of Obstetrics and Gynecology, Duke University, Durham, North Carolina, USA
Search for more papers by this authorPamela Berens
McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
Search for more papers by this authorKelsey Humphrey
The Emmes Company, LLC, Rockville, Maryland, USA
Search for more papers by this authorChristoph Hornik
Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
Search for more papers by this authorStephen Balevic
Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
Search for more papers by this authorKanecia Zimmerman
Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
Search for more papers by this authorCorresponding Author
Kevin Watt
Division of Clinical Pharmacology, Department of Pediatrics, The University of Utah, Salt Lake City, Utah, USA
Correspondence: Kevin Watt ([email protected])
Search for more papers by this authorAbstract
Ondansetron is commonly used in breastfeeding mothers to treat nausea and vomiting. There is limited information in humans regarding safety of ondansetron exposure to nursing infants and no adequate study looking at ondansetron pharmacokinetics during lactation. We developed a generic physiologically-based pharmacokinetic lactation model for small molecule drugs and applied this model to predict ondansetron transfer into breast milk and characterize infant exposure. Drug-specific model inputs were parameterized using data from the literature. Population-specific inputs were derived from a previously conducted systematic literature review of anatomic and physiologic changes in postpartum women. Model predictions were evaluated using ondansetron plasma and breast milk concentration data collected prospectively from 78 women in the Commonly Used Drugs During Lactation and infant Exposure (CUDDLE) study. The final model predicted breast milk and plasma exposures following a single 4 mg dose of intravenous ondansetron in 1,000 simulated women who were 2 days postpartum. Model predictions showed good agreement with observed data. Breast milk median prediction error (MPE) was 18.4% and median absolute prediction error (MAPE) was 53.0%. Plasma MPE was 32.5% and MAPE was 43.2%. The model-predicted daily and relative infant doses were 0.005 mg/kg/day and 3.0%, respectively. This model adequately predicted ondansetron passage into breast milk. The calculated low relative infant dose indicates that mothers receiving ondansetron can safely breastfeed. The model building blocks and population database are open-source and can be adapted to other drugs.
CONFLICT OF INTEREST
Dr. André Dallmann is an employee of Bayer AG and uses Open Systems Pharmacology software, tools, and models in his professional role. All other authors declared no competing interests for this work.
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