Growth response to growth hormone (GH) treatment relates to serum insulin-like growth factor I (IGF-I) and IGF-binding protein-3 in short children with various GH secretion capacities. Swedish Study Group for Growth Hormone Treatment.
1997 (English)In: Journal of Clinical Endocrinology and Metabolism, ISSN 0021-972X, E-ISSN 1945-7197, Vol. 82, no 9, 2889-98 p.Article in journal (Refereed) Published
The purpose of the study was to evaluate the relationship between the 1-yr (n = 193) and 2-yr (n = 128) growth response and the individual serum concentrations of insulin-like growth factor I (IGF-I) and IGF-binding protein 3 (IGFBP-3) before and during GH treatment. Our study group of prepubertal short children had from very low to high GH secretory capacity, estimated during an arginine-insulin tolerance test, and the ages ranged from 3-15 yr at the start of treatment. Their serum levels of IGF-I and IGFBP-3 were low before treatment compared to those in an age-related reference group of prepubertal children and increased significantly from the start to 1 month of GH treatment. The mean increase in height SD score was 0.80 SD score after 1 yr of GH treatment and 1.26 SD score after 2 yr, with a wide range. In univariate analyses the highest correlation coefficients to the 2-yr growth response were found to be vs. the following variables from the start of treatment: IGF-I SD score (r = -0.49), log maximum GH concentration (log GHmax) during the arginine-insulin tolerance test (r = -0.47), difference between the height SD score of the individual child and the midparental height SD score (diffSD score; r = -0.45), IGFBP-3 SD score (r = -0.39), age (r = -0.30), short term change in IGFBP-3 SD score (r = 0.37), and IGF-I SD score (r = 0.34). In multivariate stepwise regression analysis, 41% of the variation in the 2-yr growth response could be explained by IGF-I SD score or log GHmax together with age at the start of treatment, weight SD score at 1 yr of age, and diffSD score. When both IGF-I SD score and GHmax were included and when the short term changes in IGF-I SD score were added, 46% and 58% of the variation, respectively, could be explained. The regression algorithms using different combinations of variables and their corresponding prediction intervals are also presented.
Place, publisher, year, edition, pages
1997. Vol. 82, no 9, 2889-98 p.
IdentifiersURN: urn:nbn:se:umu:diva-45337PubMedID: 9284715OAI: oai:DiVA.org:umu-45337DiVA: diva2:429242