Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age

<p>Abstract</p> <p>Background</p> <p>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...

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Main Authors: Rosberg Sten, Nierop Andreas FM, Niklasson Aimon, Kriström Berit, Dahlgren Jovanna, Albertsson-Wikland Kerstin
Format: Article
Language:English
Published: BMC 2007-12-01
Series:BMC Medical Informatics and Decision Making
Online Access:http://www.biomedcentral.com/1472-6947/7/40
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spelling doaj-fc2b7644bec24fab9b2e65e8d97026302020-11-24T23:56:30ZengBMCBMC Medical Informatics and Decision Making1472-69472007-12-01714010.1186/1472-6947-7-40Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational ageRosberg StenNierop Andreas FMNiklasson AimonKriström BeritDahlgren JovannaAlbertsson-Wikland Kerstin<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>Using only auxological data, the model had a standard error of the residuals (SD<sub>res</sub>), of 0.23 SDS. The model was improved when endocrine data (GH<sub>max </sub>profile, IGF-I and leptin) collected before starting GH treatment were included. Inclusion of these data resulted in a decrease of the SD<sub>res </sub>to 0.15 SDS (corresponding to 1.1 cm in a 3-year-old child and 1.6 cm in a 7-year old). Validation of these models with a separate cohort, showed similar SD<sub>res </sub>for both types of models. Preterm children were not included in the Model group, but predictions for this group were within the expected range.</p> <p>Conclusion</p> <p>These prediction models can with high accuracy be used to identify short children who will benefit from GH treatment. They are clinically useful as they are constructed using data from short children with a broad range of GH secretory status, birth size and gestational age.</p> http://www.biomedcentral.com/1472-6947/7/40
collection DOAJ
language English
format Article
sources DOAJ
author Rosberg Sten
Nierop Andreas FM
Niklasson Aimon
Kriström Berit
Dahlgren Jovanna
Albertsson-Wikland Kerstin
spellingShingle Rosberg Sten
Nierop Andreas FM
Niklasson Aimon
Kriström Berit
Dahlgren Jovanna
Albertsson-Wikland Kerstin
Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age
BMC Medical Informatics and Decision Making
author_facet Rosberg Sten
Nierop Andreas FM
Niklasson Aimon
Kriström Berit
Dahlgren Jovanna
Albertsson-Wikland Kerstin
author_sort Rosberg Sten
title Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age
title_short Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age
title_full Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age
title_fullStr Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age
title_full_unstemmed Models predicting the growth response to growth hormone treatment in short children independent of GH status, birth size and gestational age
title_sort models predicting the growth response to growth hormone treatment in short children independent of gh status, birth size and gestational age
publisher BMC
series BMC Medical Informatics and Decision Making
issn 1472-6947
publishDate 2007-12-01
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>Using only auxological data, the model had a standard error of the residuals (SD<sub>res</sub>), of 0.23 SDS. The model was improved when endocrine data (GH<sub>max </sub>profile, IGF-I and leptin) collected before starting GH treatment were included. Inclusion of these data resulted in a decrease of the SD<sub>res </sub>to 0.15 SDS (corresponding to 1.1 cm in a 3-year-old child and 1.6 cm in a 7-year old). Validation of these models with a separate cohort, showed similar SD<sub>res </sub>for both types of models. Preterm children were not included in the Model group, but predictions for this group were within the expected range.</p> <p>Conclusion</p> <p>These prediction models can with high accuracy be used to identify short children who will benefit from GH treatment. They are clinically useful as they are constructed using data from short children with a broad range of GH secretory status, birth size and gestational age.</p>
url http://www.biomedcentral.com/1472-6947/7/40
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