ESPE Abstracts

Background: Severe insulin resistant (IR) type A is a rare inherited disorder characterized by glucose metabolism disturbances without obesity, acanthosis nigricans and hyperandrogenia due to INSR defects.Case report: A 10-year-old girl was admitted because of skin papillomatosis and hyperpigmentations since her 7 years. She had early puberty with pubarche at 8 years and telarche at 9 years. Examination revealed normal height and weight (SDS BMI...

Objective: To study clinical and laboratory characteristics of patients with disorders of sex development (DSD) 45,X/46,XY.Subjects and methods: It was included 248 patients with genital ambiguity, which were divided into groups based on cytogenetic survey. All children with mosaicism 45,X/46,XY evaluated the structure of the external genitalia on the external masculinization score (EMS, range 0–12), ultrasound examination, the definition of anti-Mu...

Background: Single nucleotide polymorphisms (SNPs) associated with the response to GH therapy have previously been identified in growth hormone deficient (GHD) children in the PREDICT long-term follow-up (LTFU) study (NCT00699855).Objective and hypotheses: To assess the effect of GHD severity on the predictive value of genetic markers of growth response.Method: We used pre-pubertal GHD children (peak GH <10 μg/l) from the ...

Background: Autoimmune polyglandular syndrome type 1 (APS1) is a monogenic autoimmune disease caused by defects in autoimmune regulator gene (AIRE). The classic clinical triad is composed of Addison disease, hypoparathyroidism, and chronic mucocutaneous candidiasis, however other endocrine and non-endocrine features of APS1 may occur.Objective: To describe an unusual clinical manifestation of APS1.Methods: Congenital lipodystrophy ...

Background: GH deficiency (GHD) is classically defined on the basis of a cut-off applied to the peak GH level during stimulation tests; a process with recognised limitations. Identifying the functional role of genes whose expression is associated with pGH may help with our understanding and classification of GHD.Objective and hypotheses: Identify patterns of gene expression (GE) related to pGH and to describe the function, and regulation of these genes.<...

Background: Prediction of response to recombinant GH (r-GH) is currently based on regression modelling. This approach generates a prediction equation which can be applied to data from an individual child. However this method can underestimate the effect of inter-dependent variables. Random forest classification (RFC) is an alternative prediction method based on decision trees that is not sensitive to the relationships between variables.Objective and hypo...

Background: The Easypod Connect Observational Study (ECOS) observational study follows children with GHD, SGA and Turner syndrome receiving r-hGH therapy for up to 5 years, with interim analyses each year. The easypod electromechanical auto-injector device enables accurate, real-world digital records of patients’ adherence to rhGH to be collected for evaluation.Objective and hypotheses: The primary objective of ECOS is to evaluate the level of adher...

Background: For early identification of patients requiring adherence support, objective, real-time adherence data are needed. The easypod™ electromechanical injection device, in combination with the easypod™ connect ecosystem, electronically records and transmits, in real time, accurate records of the date, time and dose injected for patients receiving recombinant human growth hormone (r-hGH) to treat growth disorders. Healthcare professionals can us...

Background: Congenital hypothyroidism (CH) is an inborn disease with an incidence rate of 1 case per 3,600 newborns of which 15-20% cases are associated with thyroid dyshormonogenesis. The TPO gene encodes thyroid peroxidase. Disease associated with this gene is usually transmitted in an autosomal recessive mode. Hypothyroidism-associated TPO variants are usually biallelic, limited evidence for cases in patients with heterozygous variants exists.Method...

Background: Over the last decade, and in light of the COVID-19 pandemic, there has been a substantial increase in the use of digital health tools to track growth and manage growth disorders in children. Paediatric endocrinologists acknowledge the usefulness of these tools in clinical decision making but lack confidence and skills to use them. Atique et al. designed a Massive Open Online Learning Course (MOOC) to increase digital health literacy, and identified...