ESPE Abstracts

Background: The actual Swedish growth references are based on a cohort born 1974.Objective and hypotheses: Due to secular changes there is need for new height references.Method: Material: Height measurements from birth to adult height (AH) in a cohort of healthy, Nordic and born full term 1990, 20.796 from 1647 boys, 19.202 from 1501 girls were used (ALL) and compared to both a subgroup with puberty close to mean (PHV &#17...

Background: Early TS diagnosis permits early GH start and estradiol (E2) supplementation approaching adult height (AH) at normal age and within a normal range. However, higher age at diagnosis is still a challenge.Objective and hypotheses: The hypothesis from our long-term trials will result in knowledge for personalized treatment in order to obtain a psychological acceptable age at onset of puberty and still an attained AH within normal range...

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...

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). ...

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...

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...

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...

Background: Macroprolactinomas in children below 10 years of age are rare. Usually prolactinomas respond well to dopamine agonists so that neurosurgical resection is rarely necessary. For non-responders to dopamine agonist therapy other extended treatment options have to be considered.Clinical case: We report a 14-year-old boy who presented at the age of 11 years with headaches for 5 years and progressive bilateral vision problems. The diagnosis of a mac...

Background: A rapid weight gain during infancy increases adult lean body mass, whereas weight gain during adiposity rebound at age 4-7 years results in increased adult fat mass and an increased risk of the metabolic syndrome and T2D. To understand the impact of age of obesity onset on growth, we classified non-syndromic childhood overweight into an early onset (EO, age 0-3) and a late onset (LO, age 3-7) group and characterized the growth patterns of the two.<...

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...