hrp0084p2-219 | Bone | ESPE2015

Early Increase of the Bone Formation Marker PINP is in a Higher Degree Related to Growth Response Compared to Bone Mineralization in GH Treated Prepubertal Children

Decker Ralph , Andersson Bjorn , Swolin-Eide Diana , Magnusson Per , Kristrom Berit , Albertsson-Wikland Kerstin

Background: It has been reported that short-term increases of the bone formation markers intact amino-terminal propeptide of type I procollagen (PINP), bone-specific alkaline phosphatase (BALP) and osteocalcin display different temporal patterns. In adults, the biphasic model of GH action in bone remodelling shows that GH treatment results initially in an increased bone resorption with a concomitant bone loss, which later on is followed by increased bone formation. In children...

hrp0084p3-945 | GH & IGF | ESPE2015

As Great Intra as Interindividual Variability in Uptake of s.c. GH Injections in Longitudinally Followed GH Treated Children

Lundberg Elena , Kristrom Berit , Andersson Bjorn , Rosberg Sten , Albertsson-Wikland Kerstin

Background: The variation in uptake of daily sc GH-injections is hardly known.Objective and hypotheses: There is a considerable variability in uptake of s.c. GH-injections both within and between children.Method: 65 children used (Genotropin® pen 4/16, needle 12 mm), dose 0.08–0.14 mU/kg per day within trials: TRN 87–010; 88–080; 88–177; followed yearly two–eight times 1992–1999 (n=214). ...

hrp0094p1-162 | Growth B | ESPE2021

Evaluation of growth patterns from the Edinburgh and Gothenburg cohorts by the QEPS model

Holmgren Anton , Niklasson Aimon , Nierop Andreas F.M , Butler Gary , Albertsson-Wikland Kerstin ,

Background: The QEPS-growth-model, developed and validated in GrowUpGothenburg cohorts, used for developing growth references and investigating healthy/pathological growth, lacks external validation from other longitudinal cohorts of healthy individuals.Objective: To investigate if the QEPS-model fits the longitudinal Edinburgh growth study of another design than GrowUpGothenburg cohorts. To compare growth patterns in tw...

hrp0094p2-354 | Pituitary, neuroendocrinology and puberty | ESPE2021

Relation between specific pubertal growth and breast maturation - a longitudinal study in healthy girls

Bergendahl Sophie , Niklasson Aimon , Stefan Aronson A. , Nierop Andreas F.M , Albertsson-Wikland Kerstin , Holmgren Anton ,

Background: Few studies have investigated in detail how the pubertal breast maturation in girls is related to the pubertal growth spurt in a longitudinal setting. The golden standard for assessment of secondary sex characteristics for girls includes breast development (B1-B5)1. The different maturation stages follow the increasing estradiol production from the ovaries also giving rise to the pubertal growth spurt. The QEPS-growth model makes it poss...

hrp0097p1-170 | Sex Differentiation, Gonads and Gynaecology, and Sex Endocrinology | ESPE2023

Explaining variations of menarcheal age by anthropometrical factors - the GrowUp Gothenburg study

Gårdstedt Berghog Jenni , Albertsson-Wikland Kerstin , Niklasson Aimon , Holmgren Anton

Background and aim: Menarche is a milestone of female pubertal development as well as an important sociocultural and psychological event during adolescence. Age of menarche has changed with time, and there is a broad individual variation in timing. Many factors are associated with menarcheal age, where further research is needed. The QEPS-growth model makes it possible to conduct detailed analyses of growth1,2. The aim of the study was to investigat...

hrp0089fc4.5 | GH & IGFs | ESPE2018

Prediction of Adult Height by Artificial Intelligence (AI) through Machine Learning (ML) from Early Height Data

Shmoish Michael , German Alina , Devir Nurit , Hecht Anna , Butler Gary , Niklasson Aimon , Albertsson-Wikland Kerstin , Hochberg Ze'ev

Context: Growth analyses have traditionally been done by either non-structural descriptive statistics or by fitting models. While we usually describe height and weight separately, we assume reciprocity of weight and height on each other. We utilize ML to predict ages 7–18 y height based on height and weight data up to age 6y.Methods: After pre-processing the height and weight, primary and secondary features (height SDS, BMI, growth velocity) of 1596...

hrp0086p2-p843 | Syndromes: Mechanisms and Management P2 | ESPE2016

The Specific Pubertal Height Gain is Higher in Boys as Well as in Children with Lower BMISDS

Holmgren Anton , Niklasson Aimon , Nierop Andreas , Gelander Lars , Aronson A. Stefan , Sjoberg Agneta , Lissner Lauren , Albertsson-Wikland Kerstin

Background: Growth in height during puberty can be described by the QEPS-model as a combination of continuous basal growth, QES, and a specific pubertal growth function, P.Objective and hypotheses: To study the relationship between childhood BMISDS and the prepubertal gain and pubertal gain related to growth functions from the QEPS-model.Method: The longitudinally followed GrowUpGothenburg 1990 birth co...

hrp0082p1-d2-156 | Growth (1) | ESPE2014

Gender Difference in Secular Trend in Sweden

Holmgren Anton , Niklasson Aimon , Nierop Andreas F M , Gelander Lars , Sjoberg Agneta , Aronson Stefan , Albertsson-Wikland Kerstin

Background, objective and hypotheses: By using QEPS, a new mathematic growth model, different components of growth can be analyzed, comparing secular trends of prepubertal and pubertal growth in Swedish birth cohorts born 1974 and 1990.Materials and methods: Two birth cohorts followed to adult height (AH) born around 1974 (1691 boys; 1666 girls) and 1990 (1647 boys; 1501 girls) being healthy, Nordic and born term. A subpopulation of 1974 (1177 boys; 1168...

hrp0084p2-381 | Fat | ESPE2015

Metformin in Combination with Lifestyle Changes Effectively Reduces BMI and Waist Circumference in Overweight/Obese Children and Adolescents

Smetanina Natalija , Seibokaite Adrone , Valickas Raimondas , Kuprionis Gintaras , Grigoniene Jolanta Janina , Rokaite Ruta , Vitkauskiene Astra , Albertsson-Wikland Kerstin , Verkauskiene Rasa

Background: Overweight (OW) and obesity in paediatric population has been shown to be associated with an increase in prevalence of insulin resistance and type 2 diabetes (T2D) in youth.Objective and hypotheses: The aim of this study was to assess the efficiency and safety of metformin use in combination with lifestyle changes or alone for weight management in OW and obese (OB) children and adolescents.Methods: Study included 145 10...

hrp0084p2-473 | Growth | ESPE2015

The Pubertal Gain in Height is Inversely Related to BMI in Childhood

Holmgren Anton , Niklasson Aimon , Nierop Andreas F.M. , Gelander Lars , Aronson A. Stefan , Sjoberg Agneta , Lissner Lauren , Albertsson-Wikland Kerstin

Background: Weight in childhood may influence the pubertal timing and pattern of growth.Objective: To investigate the impact of BMI in childhood on further growth, especially the specific pubertal pattern of growth.Method: The longitudinally followed GrowUpGothenburg1990 birth cohort, was analyzed using the QEPS growth model (Nierop et al. Horm Res in Ped. 2013; 80(suppl 1):152–153) (describi...