Ontology highlight
ABSTRACT: Background
Mathematical models can be used to predict individual growth responses to growth hormone (GH) therapy. The aim of this study was to construct and validate high-precision models to predict the growth response to GH treatment of short children, independent of their GH status, birth size and gestational age. As the GH doses are included, these models can be used to individualize treatment.Methods
Growth data from 415 short prepubertal children were used to construct models for predicting the growth response during the first years of GH therapy. The performance of the models was validated with data from a separate cohort of 112 children using the same inclusion criteria.Results
Using only auxological data, the model had a standard error of the residuals (SDre
SUBMITTER: Dahlgren J
PROVIDER: S-EPMC2246105 | biostudies-literature | 2007 Dec
REPOSITORIES: biostudies-literature