Ontogeny equations with probability distributions for anthropomorphic measurements in preterm and term neonates and infants for use in a PBPK model
Document Type
Article
Date of Original Version
8-1-2019
Abstract
Fitted algebraic equations with probability distributions are presented to predict the maturation of selected physiological parameters that occur postnatally in preterm and term neonates through early infancy. The neonatal population, in particular preterm neonates, remains a challenge for the development of physiologically based pharmacokinetic (PBPK) models. The need to make available these building blocks for PBPK models for this age group is important for this field to advance. While the equations do not represent an exhaustive evaluation of anatomy, equations with 90% prediction intervals, where data permits, are presented for body weight, organ and tissue growth, blood flows, cardiac output, plasma albumin concentration, and glomerular filtration rate. Ontogeny measurements for blood flows to organs and tissues are limited. Longitudinal anthropomorphic measurements versus intrauterine or newborn measurements in preterm neonates would help reduce the uncertainty in the growth trajectories of neonates.
Publication Title, e.g., Journal
Computational Toxicology
Volume
11
Citation/Publisher Attribution
Yang, Xiaoxia, Huali Wu, Darshan Mehta, Mary C. Sullivan, Jian Wang, Gilbert J. Burckart, John A. Troutman, and Jeffrey W. Fisher. "Ontogeny equations with probability distributions for anthropomorphic measurements in preterm and term neonates and infants for use in a PBPK model." Computational Toxicology 11, (2019): 101-117. doi: 10.1016/j.comtox.2019.03.007.