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Comparison of Two Prediction Models in a Clinical Setting to Predict Growth in Prepubertal Children on Recombinant Growth Hormone by Helena-Jamin Ly; Anders Lindberg; Hans Fors; Jovanna Dahlgren is a Medicine article available to read on EtoBox.

What is Comparison of Two Prediction Models in a Clinical Setting to Predict Growth in Prepubertal Children on Recombinant Growth Hormone about?

Objective Prediction models that calculate the growth response in children on recombinant growth hormone (GH) have shown to be helpful tools in deciding who should start treatment, as identifying GH deficiency can be a challenge. The aim of the study is to compare two prediction models; the KIGS (Pfizer International Growth Study) prediction models which are more accessible and the Gothenburg model which has previously been clinically validated. Design All prepubertal patients who commenced GH treatment at Queen Silvia Children's Hospital in Gothenburg during a 13-year-period were candidates for the study. Children were excluded if suspected syndrome, malignant disease, chronic disease, or poor adherence to treatment were found. The KIGS model and the Gothenburg model were used to make predictions. Data was obtained from medical charts for the period from birth to the end of the first year of treatment. The predicted height outcome was compared against observed. Results The study included 123 prepubertal children (76 males). The average age at treatment start and standard deviation (SD) was 5.7 (1.8) years. Correlation analyses were performed between predicted growth by both the Go

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Author

Helena-Jamin Ly; Anders Lindberg; Hans Fors; Jovanna Dahlgren

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Medicine (Health Sciences)