To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

Personalized approach to … - University of Gothenburg, Sweden Till startsida
Sitemap
To content Read more about how we use cookies on gu.se

Personalized approach to growth hormone treatment: clinical use of growth prediction models.

Journal article
Authors J M Wit
M B Ranke
Kerstin Albertsson-Wikland
A Carrascosa
R G Rosenfeld
S Van Buuren
Berit Kriström
E Schoenau
L Audi
A C S Hokken-Koelega
P Bang
H Jung
W F Blum
L A Silverman
P Cohen
S Cianfarani
C Deal
P E Clayton
L de Graaff
Jovanna Dahlgren
J Kleintjens
M Roelants
Published in Hormone research in pædiatrics
Volume 79
Issue 5
Pages 257-70
ISSN 1663-2826
Publication year 2013
Published at Institute of Clinical Sciences, Department of Pediatrics
Pages 257-70
Language en
Links dx.doi.org/10.1159/000351025
Subject categories Pediatrics

Abstract

The goal of growth hormone (GH) treatment in a short child is to attain a fast catch-up growth toward the target height (TH) standard deviation score (SDS), followed by a maintenance phase, a proper pubertal height gain, and an adult height close to TH. The short-term response variable of GH treatment, first-year height velocity (HV) (cm/year or change in height SDS), can either be compared with GH response charts for diagnosis, age and gender, or with predicted HV based on prediction models. Three types of prediction models have been described: the Kabi International Growth Hormone Study models, the Gothenburg models and the Cologne model. With these models, 50-80% of the variance could be explained. When used prospectively, individualized dosing reduces the variation in growth response in comparison with a fixed dose per body weight. Insulin-like growth factor-I-based dose titration also led to a decrease in the variation. It is uncertain whether adding biochemical, genetic or proteomic markers may improve the accuracy of the prediction. Prediction models may lead to a more evidence-based approach to determine the GH dose regimen and may reduce the drug costs for GH treatment. There is a need for user-friendly software programs to make prediction models easily available in the clinic.

Page Manager: Webmaster|Last update: 9/11/2012
Share:

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?