Prediction of Fat-Free Mass in Children

Show simple item record Al-Sallami, HS en Goulding, A en Grant, A en Taylor, R en Holford, Nicholas en Duffull, SB en 2016-11-03T01:11:35Z en 2015-11 en
dc.identifier.citation Clinical Pharmacokinetics, 2015, 54(11), pp. 1169-1178 en
dc.identifier.issn 0312-5963 en
dc.identifier.uri en
dc.description.abstract Background: Fat-free mass (FFM) is an important covariate for predicting drug clearance. Models for predicting FFM have been developed in adults but there is currently a paucity of mechanism-based models developed to predict FFM in children. Objective: The aim of this study was to develop and evaluate a model to predict FFM in children. Methods: A large dataset (496 females and 515 males) was available for model building. Subjects had a relatively wide range of age (3-29 years) and body mass index values (12-44.9 kg/m(2)). Two types of models (M1 and M2) were developed to describe FFM in children. M1 was fully empirical and based on a linear model that contained all statistically significant covariates and their interactions. M2 was a simpler model that incorporated a maturation process. M1 was developed to provide the best possible description of the data (i.e. a positive control). In addition, a published adult model (M3) was applied directly as a reference description of the data. The predictive performances of the three models were assessed by visual predictive checks and by using mean error (ME) and root mean squared error (RMSE). A test dataset (90 females and 86 males) was available for external evaluation. Results: M1 consisted of nine terms with up to second-level interactions. M2 was a sigmoid hyperbolic model based on postnatal age with an asymptote at the adult prediction (M3). For the index dataset, the ME and 95 % CI for M1, M2 and M3 were 0.09 (0.03-0.16), 0.24 (0.14-0.33) and 0.29 (0.06-0.51) kg, respectively, and RMSEs were 1.12 (1.03-1.23), 1.58 (1.46-1.72) and 3.76 (3.54-3.97) kg. Conclusions: A maturation model that asymptoted to an established adult model was developed for prediction of FFM in children. This model was found to perform well in both male and female children; however, the adult model performed similarly to the maturation model for females. The ability to predict FFM in children from simple demographic measurements is expected to improve understanding of human body structure and function with direct application to pharmacokinetics. en
dc.description.uri en
dc.publisher Springer Verlag en
dc.relation.ispartofseries Clinical Pharmacokinetics en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.subject Humans en
dc.subject Body Mass Index en
dc.subject Algorithms en
dc.subject Models, Biological en
dc.subject Adolescent en
dc.subject Adult en
dc.subject Child en
dc.subject Child, Preschool en
dc.subject Female en
dc.subject Male en
dc.subject Adiposity en
dc.subject Young Adult en
dc.title Prediction of Fat-Free Mass in Children en
dc.type Journal Article en
dc.identifier.doi 10.1007/s40262-015-0277-z en
pubs.issue 11 en
pubs.begin-page 1169 en
pubs.volume 54 en
dc.rights.holder Copyright: Springer en
dc.identifier.pmid 25940825 en en
pubs.end-page 1178 en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 487137 en Medical and Health Sciences en Medical Sciences en Pharmacology en
dc.identifier.eissn 1179-1926 en
pubs.record-created-at-source-date 2016-11-03 en
pubs.dimensions-id 25940825 en

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