TY - JOUR
T1 - Estimation of Body Fat Percentage for Clinical Pharmacokinetic Studies in Children
AU - Green, Thomas P.
AU - Binns, Helen J.
AU - Wu, Huali
AU - Ariza, Adolfo J.
AU - Perrin, Eliana M.
AU - Quadri, Maheen
AU - Hornik, Christoph P.
AU - Cohen-Wolkowiez, Michael
N1 - Funding Information:
This work was funded under National Institute of Child Health and Human Development (NICHD) contract HHSN275201000003I for the Pediatric Trials Network (PI Danny Benjamin). H.W. receives salary support for research from the National Institutes of Health (NIH) Clinical and Translational Science Award (5UL1TR001117-05). C.P.H. receives salary support for research from the NICHD (K23HD090239) and the US government for his work in pediatric and neonatal clinical pharmacology (contract HHSN267200700051C, PI D. Benjamin under the Best Pharmaceuticals for Children Act). M.C.-W. receives support for research from the NIH (5R01-HD076676 and HHSN275201000003I), National Institute of Allergy and Infectious Diseases (HHSN272201500006I), US Food and Drug Administration (1U18-FD006298), and Biomedical Advanced Research and Development Authority (HHSO100201300009C). The design and conduct of the study, the interpretation of data, the preparation, review, and decision to submit the manuscript were all solely the responsibility of the authors and do not necessarily represent the official views of the NIH.
Funding Information:
This work was funded under National Institute of Child Health and Human Development (NICHD) contract HHSN275201000003I for the Pediatric Trials Network (PI Danny Benjamin). H.W. receives salary support for research from the National Institutes of Health (NIH) Clinical and Translational Science Award (5UL1TR001117‐05). C.P.H. receives salary support for research from the NICHD (K23HD090239) and the US government for his work in pediatric and neonatal clinical pharmacology (contract HHSN267200700051C, PI D. Benjamin under the Best Pharmaceuticals for Children Act). M.C.‐W. receives support for research from the NIH (5R01‐HD076676 and HHSN275201000003I), National Institute of Allergy and Infectious Diseases (HHSN272201500006I), US Food and Drug Administration (1U18‐FD006298), and Biomedical Advanced Research and Development Authority (HHSO100201300009C). The design and conduct of the study, the interpretation of data, the preparation, review, and decision to submit the manuscript were all solely the responsibility of the authors and do not necessarily represent the official views of the NIH.
Publisher Copyright:
© 2020 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics.
PY - 2021/3
Y1 - 2021/3
N2 - Obesity is a prevalent childhood condition and the degree of adiposity appears likely to be an important covariate in the pharmacokinetics (PKs) of many drugs. We undertook these studies to facilitate the evaluation and, where appropriate, quantification of the covariate effect of body fat percentage (BF%) on PK parameters in children. We examined two large databases to determine the values and variabilities of BF% in children with healthy body weights and in those with obesity, comparing the accuracy and precision of BF% estimation by both clinical methods and demographically derived techniques. Additionally, we conducted simulation studies to evaluate the utility of the several methods for application in clinical trials. BF% was correlated with body mass index (BMI), but was highly variable among both children with healthy body weights and those with obesity. Bio-impedance and several demographically derived techniques produced mean estimates of BF% that differed from dual x-ray absorptiometry by < 1% (accuracy) and a SD of 5% or less (precision). Simulation studies confirmed that when the differences in precision among the several methods were small compared with unexplained between-subject variability of a PK parameter, the techniques were of similar value in assessing the contribution of BF%, if any, as a covariate for that PK parameter. The combination of sex and obesity stage explained 68% of the variance of BF% with BMI. The estimation of BF% from sex and obesity stage can routinely be applied to PK clinical trials to evaluate the contribution of BF% as a potential covariate.
AB - Obesity is a prevalent childhood condition and the degree of adiposity appears likely to be an important covariate in the pharmacokinetics (PKs) of many drugs. We undertook these studies to facilitate the evaluation and, where appropriate, quantification of the covariate effect of body fat percentage (BF%) on PK parameters in children. We examined two large databases to determine the values and variabilities of BF% in children with healthy body weights and in those with obesity, comparing the accuracy and precision of BF% estimation by both clinical methods and demographically derived techniques. Additionally, we conducted simulation studies to evaluate the utility of the several methods for application in clinical trials. BF% was correlated with body mass index (BMI), but was highly variable among both children with healthy body weights and those with obesity. Bio-impedance and several demographically derived techniques produced mean estimates of BF% that differed from dual x-ray absorptiometry by < 1% (accuracy) and a SD of 5% or less (precision). Simulation studies confirmed that when the differences in precision among the several methods were small compared with unexplained between-subject variability of a PK parameter, the techniques were of similar value in assessing the contribution of BF%, if any, as a covariate for that PK parameter. The combination of sex and obesity stage explained 68% of the variance of BF% with BMI. The estimation of BF% from sex and obesity stage can routinely be applied to PK clinical trials to evaluate the contribution of BF% as a potential covariate.
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U2 - 10.1111/cts.12896
DO - 10.1111/cts.12896
M3 - Article
C2 - 33142010
AN - SCOPUS:85096650258
VL - 14
SP - 509
EP - 517
JO - Clinical and Translational Science
JF - Clinical and Translational Science
SN - 1752-8054
IS - 2
ER -