ESPE Abstracts

Background: Accurate prediction of responsiveness to growth hormone (GH) therapy is an important issue. The 1st year response to treatment is regarded as significant predictor of the attained final height. Neural networks are techniques of machine learning which do not require any assumptions and preprocessing of data, contrary to linear regression models.Objective and hypotheses: The aim of the study was to predict height velocity (HV) during 1st year o...

According to current recommendations, children with height SDS <-3.0, normal growth hormone (GH) peak in stimulation tests (stimGH) and severe IGF-I deficiency (IGFD) may be diagnosed with primary IGFD and treated with recombinant IGF-I. The need for direct confirmation of GH insensitivity is a matter of discussion. On the other hand, children born small for gestational age (SGA) with no catch-up growth are qualified to GH therapy despite normal GH secretion. The fact that...

Prediction of growth hormone (GH) therapy effectiveness in children with short stature is an important issue for optimizing its course. Recently, our research group has published prediction models derived with neural networks. The main predictors of final height (FH) in our model were: patient’s height SDS at therapy onset, pre-treatment change of height SDS (HSDS V0) and pre-treatment IGF-I and IGFBP-3 secretion but not the results of GH stimulation tests; the...

Prediction of poor response to growth hormone (GH) therapy in children with short stature is an important issue for personalized approach to treatment. Recently, our research group has published prediction models derived with neural networks. The main predictors of final height (FH) in our model were: patient’s height SDS at therapy onset (H0SDS) and pre-treatment IGF-I and IGFBP-3 concentrations but not the results of GH stimulation tests; pre-treatment growth...

Background: The diagnosis of severe primary IGF-I deficiency (IGFD) in children with normal growth hormone (GH) peak in stimulation tests (stimGH) should be confirmed by IGF-I increase <15.0 ng/ml during generation test (IGF-GT), however the significance of IGF-GT has been questioned by some researchers.Objective and hypotheses: Evaluation of the significance of IGF-GT in children with normal stim GH and IGFD, with respect to efficacy of growth-promo...

Background: Prediction of GH therapy effectiveness in children with short stature is an important issue in paediatric endocrinology.Objective and hypotheses: The aim of the study was to create a linear regression model of GH therapy effectiveness, based on the data available before treatment.Method: Retrospective analysis comprised the data of 150 short children (101 boys), diagnosed with isolated GH deficiency, who were treated wi...

Background: Prediction of the effectiveness of GH therapy in children with short stature is an important issue. Artificial neural networks (ANN) seem to be promising tool for this purpose, not requiring any assumption on functions linking independent and dependent variables.Objective and hypotheses: The aim of the study was to compare ANN models of GH therapy effectiveness, based on the data available at therapy onset with multiple linear regression (MLR...