ESPE Abstracts

In children with XLH, excess FGF23 causes hypophosphatemia with consequent rickets, skeletal deformities, and impaired growth and mobility. We previously reported that burosumab improved phosphate homeostasis and rickets in children with XLH. Here, we report final data from this Phase 2 Study CL201 (NCT02163577).Fifty-two children with XLH (5-12 years old, Tanner ≤ 2) were randomized 1:1 to receive subcutaneous burosumab every 2 (Q2W) or 4 (Q4W) we...

In children with XLH, excess FGF23 causes hypophosphatemia with consequent rickets, skeletal deformities, and impaired growth and mobility. We reported that burosumab improved phosphate homeostasis and rickets in children with XLH. Here, we present data on 11/52 subjects (all girls) who developed fused growth plates during the phase 2 study CL201 (NCT02163577).In CL201, 52 subjects (Baseline: 5-12 years-old, Tanner ≤ 2) were randomized 1:1 to recei...

Background/Aim: X-linked hypophosphatemia (XLH) is a rare disease caused by mutations in PHEX, leading to elevated FGF23 levels, hypophosphatemia and chronic renal phosphate wasting. Burosumab is a monoclonal antibody against anti-FGF23, which has been recently approved for treatment of XLH. Beyond clinical trials, little is known about its efficacy/safety in clinical practice which is the aim of study.Patients/Methods: ...

Background: X-linked hypophosphatemia (XLH) is a rare genetic disorder of phosphate metabolism caused by mutations in the PHEX gene. XLH patients exhibit short stature and skeletal deformities, which are caused by defective bone mineralization site leading to increased porosity and decreased matrix stiffness. Bone mineral density measurements have been shown to be insensitive to the cumulative bone alterations. The velocity of the first arriving signal (vFAS) ...

Background: The need to understand the relationship between bone, muscle, and fat within the bone-muscle unit has recently gained great prominence. Although high resolution (HR) MRI is a non-invasive imaging modality that can provide this information, there is limited expertise in children and young people.Objectives: To establish MRI-based normative data for bone, bone marrow adiposity and muscle adiposity in children a...

Background: The BoneXpert method for automated determination of bone age from hand X-rays is based on machine learning, so it lends itself naturally to be improved by adding more training data and using better learning algorithms. Currently, version 2 is running in 145 hospitals across Europe, and a new version 3 is rolled out in 2019.Objective and Hypotheses: The aim was to validate version 3 against manual ratings in r...