hrp0095rfc4.6 | Fat, Metabolism and Obesity | ESPE2022

European Consortium of Lipodystrophies Registry, 2022

von Schnurbein Julia , Gambinieri Alessandra , Fernández-Pombo Antia , Akinci Baris , Vatier Camille , Cecchetti Carolina , Adiyaman Cem , Vigoroux Corrine , Araujo-Vilar David , Savage David , Gilio Donatella , Bismuth Elise , Sorkina Ekaterina , Vorona Elena , Santos Silva Ermelinda , Nobecourt Estelle , Csajbok Eva , Santini Ferrucio , Prodam Flavia , Nagel Gabriele , Aimaretti Gianluca , Latanzi Giovanna , Ceccarini Giovanni , Novelli Giuseppe , Yildirim Simsir Ilgin , Jeru Isabelle , Štotl Iztok , Carel Jean-Claude , Writzl Karin , Heldt Katrin , Miehle Konstanze , Kleinendorst Lotte , D’Apice Maria-Rosaria , Beghini Mariana , Vantyghem Marie-Christine , Broekema Marjoleine , Faßhauer Mathias , Stumvoll Michael , Sbraccia Paolo , Ozen Samim , Magno Silvia , Scherer Thomas , Daffara Thomaso , Pekkolay Zafer , Wabitsch Martin

Background: Lipodystrophy syndromes comprise a large group of extremely rare diseases characterized by loss or dysfunction of adipose tissue. Due to their extreme rarity and variability, research in the field of lipodystrophy is difficult for single centres warranting larger co-operations.Methods: Therefore, the European Consortium of Lipodystrophies decided to found an international registry in 2016. This registry is ba...

hrp0086p1-p602 | Growth P1 | ESPE2016

Prediction of First Year Response to Growth Hormone Treatment in Neural Network Models

Smyczynska Urszula , Smyczynska Joanna , Hilczer Maciej

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...

hrp0094p1-89 | Pituitary A | ESPE2021

The Pituitary Tumour Module: Developing a Condition Specific Module within the European Registries for Rare Endocrine Conditions (EuRRECa)

Priego Zurita Ana Luisa , Appelman-Dijkstra Natasha , Biermasz Nienke , Bryce Jillian , Burman Pia , Castano Luis , Dattani Mehul T. , Dekkers Olaf M. , Gan Hoong-Wei , Gaztambide Sonia , Katugampola Harshini , Lasolle Helene , Muller Hermann L. , Raverot Gerald , Rica Itxaso , van Beuzekom Charlotte N. , Vries Friso de , Najafabadi Amir H. Zamanipoor , Ahmed S. Faisal , Pereira Alberto M. ,

Introduction: The European Registries for Rare Endocrine Conditions (EuRRECa) project aims to support the needs of the endocrine and bone community by facilitating the collaboration between patients, health care professionals and researchers across Europe and beyond. It is a project funded by the European Union’s health programme and is the affiliated registry of the European Reference Network for Rare Endocrine Conditions (Endo-ERN). It consists of two r...

hrp0089fc2.4 | Bone, Growth Plate & Mineral Metabolism 1 | ESPE2018

Diagnostic Performance of Artificial Neural Network-based TW3 Skeletal Maturity Assessment

Zhou Xuelian , Fu Junfen , Dong Guanping , Wu Wei , Huang Ke , Ni Yan , LIN Qiang , Liu Lanxuan , Ni Hao , Lai Can

Purpose: To evaluate the efficacy of supervised Artificial Neural Network (sANN) in bone age assessment and compare the diagnostic performance of sANN-based TW3 skeletal maturity assessment on hand radiographs with that of experienced child endocrinologists.Materials and methods: This study developed an optimized artificial intelligence TW3 bone age assessment system by using the sANN and rating for the 20 hand bones (13RUS+7carpal) from A to I. 8332 of ...

hrp0086p1-p224 | Diabetes P1 | ESPE2016

Space-time Environmental Associations in Childhood Type 1 Diabetes (T1D). A Case-control Geographical Approach in the ISIS-Diab Cohort

Bougneres Pierre , Le Fur Sophie , Valtat Sophie , Valleron Alain-Jacques , ISIS-Diab Network Network

Background: T1D concordance in MZ twins being ~40%, non-heritable factors play a major causal role in this autoimmune disease. T1D has recently increased in young European children. Collecting prospective environmental data in a cohort of millions children-years starting soon after birth seems unpracticable. Retrospective case-control studies are an alternative, provided biased controls and recall bias can both be avoided.Objectives: To develop a ‘v...

hrp0086p1-p113 | Bone & Mineral Metabolism P1 | ESPE2016

Extension of The Bone Health Index to Adults, and Reference Curves of Four Indices of Cortical Bone for Healthy Europeans

Martin David , Thodberg Hans Henrik

Background: The BoneXpert method for automated determination of bone age from hand X-rays has always included a determination of the Bone Health Index (BHI) from the cortical thicknesses in the metacarpals.Objective and hypotheses: The aim was to extend this so-called digital X-ray radiogrammetry method into adults, and present reference curves for BHI and three other indices: the metacarpal index, the Exton-Smith index and the volume-per-area (proportio...

hrp0089p3-p142 | Fat, Metabolism and Obesity P3 | ESPE2018

Osse Registry for Patients with Lipodystrophy Run by the European Consortium of Lipodystrophy (ECLip)

von Schnurbein Julia , Schaaf Jannik , Cecarini Giovanni , Vantyghem Marie-Christine , Vatier Camille , Nagel Gabriele , Araujo-Vilar David , Wabitsch Martin

Introduction: The term lipodystrophy describes a rare disease subdivided into a heterogenous group of even rarer subforms. The rarity of this disease makes research in this area extremely difficult and international co-operation is mandatory to accumulate data sets of sufficient size. The European Consortium of Lipodystrophy (ECLip) consisting of an association of European experts in the field of lipodystrophy has therefore decided to set up a registry for patients with lipody...

hrp0082wg1.3 | Bone & Growth Plate | ESPE2014

New Therapies in Metabolic Bone Disease: Denusomab

Collins M

Osteoclasts are bone-resorbing cells important in normal growth plate development and bone remodeling. The development of osteoclasts is potently driven by mononuclear RANK and osteogenic cell RANKL interaction. Denosumab is a monoclonal antibody drug that targets RANKL and inhibits osteoclastogenesis. It is a potent and effective treatment for pathologic processes that involve bone resorption, such as osteoporosis and bone metastases, conditions for which it is approved. Deno...

hrp0089fc14.1 | Multisystem Endocrine Disorders | ESPE2018

Awareness and Participation in Rare Disease Registries Within the European Reference Network on Rare Endocrine Conditions (Endo-ERN)

Ali Salma R , Bryce Jillian , Cools Martine , Korbonits Marta , Beun Johan G , Taruscio Domenica , Beuschlein Felix , Danne Thomas , Dattani Mehul , Dekkers Olaf , Linglart Agnes , Netchine Irene , Nordenstrom Anna , Patocs Attila , Persani Luca , Smyth Arlene , Sumnik Zdenek , Visser W Edward , Hiort Olaf , Pereira Alberto M , Ahmed S Faisal

Background: Registries are of key importance for a centre of expertise. Endo-ERN consists of 71 reference centres (RCs) that cover several groups of rare endocrine conditions within 8 themes (www.endo-ern.eu). It is unclear if awareness, participation and availability of registries is uniform for all conditions within Endo-ERN.Objective: To determine the extent of engagement in registries of Endo-ERN members.<p cl...

hrp0086p2-p266 | Diabetes P2 | ESPE2016

Gene-Environment (GxE) Interactions in Childhood Type 1 Diabetes (T1D): A Case-only Geographical Approach in the ISIS-Diab Cohort

Bougneres Pierre , Fur Sophie Le , Valtat Sophie , Lathrop Mark , Valleron Alain-Jacques , ISIS-Diab Network France

Background: T1D concordance in MZ twins being ~40%, non-heritable factors play a major causal role in this autoimmune disease. T1D has recently increased in young European children. Collecting prospective environmental data in a cohort of millions children-years starting soon after birth seems unpracticable. Retrospective case–control studies are an alternative, provided biased controls and recall bias can both be avoided.Objectives: To develop a &#...