Searchable abstracts of presentations at key conferences in endocrinology

ea0063p44 | Adrenal and Neuroendocrine Tumours 1 | ECE2019

Comparative study between autoimmune metaplastic atrophic gastritis (AMAG) and type 1 gastric neuroendocrine tumors (G-NETs) in Hospital Clínico San Carlos (HCSC), Madrid

Ramos Elvira , Vargas-Zuniga Ignacio , Barrio Elvira , Suarez Pablo , Pazos Mario , Pallares Raquel , Aldama Paula , De La Torre Nuria Garcia , Sevilla Concepcion , Diaz Jose Angel

Introduction: Type 1 Gastric neuroendocrine tumors account for 70 to 80 percent of all gastric neuroendocrine tumors (G-NETs) and they are found more commonly in older adults, particularly women. They are associated with autoimmune metaplastic atrophic gastritis (AMAG) with or without pernicious anemia. Endoscopically, they are usually smaller than 1 cm and often multiple. These tumors usually present a non-aggressive evolution. Our goal is to approach the presence of risk fac...

ea0081p68 | Diabetes, Obesity, Metabolism and Nutrition | ECE2022

Development and validation of a new gestational diabetes mellitus (gdm) risk algorithm

Mendizabal Leire , Arregui Maddi , Valerio Johanna , Ramos Ana Maria , Barabash Ana , de la Torre Nuria Garcia , zulueta mirella , Arana Eunate , Saez Eva , Aranbarri Igotz , Martinez-Lage Juan , Cortazar Alicia , Gaztambide Sonia , Castano Luis , Simon Laureano , Luis Calle-Pascual Alfonso

Background and Objective: Gestational Diabetes Mellitus (GDM) is associated with life-long adverse outcomes for the mother and the baby. To date there is no rigorous clinical test for the assessment of GDM risk, since estimation of GDM risk is currently primarily based on clinical risk factors. Additional markers are needed to identify women at high risk. Our aim was to develop and validate a risk assessment model to identify women at high risk of GDM through an algorithm that...