GALIPDIA study: Reaching lipid targets in a population with type 2 diabetes (T2DM) from the Northwest of Spain.

Aim: To assess the degree of compliance with the European ESC/EAS 2016 and 2019 dyslipidaemia guidelines in patients with type 2 diabetes mellitus (T2DM).

Methods: Multicentre retrospective cross-sectional study, conducted in 380 adults with T2DM and dyslipidaemia in 7 Spanish health areas.

Inclusion Criteria: minimum follow-up of one year in Endocrinology Units, at least one visit in 2020 and a lipid profile measurement in the last 3 months.

Machine learning applications to predict two-phase flow patterns.

Recent advances in artificial intelligence with traditional machine learning algorithms and deep learning architectures solve complex classification problems. This work presents the performance of different artificial intelligence models to classify two-phase flow patterns, showing the best alternatives for this specific classification problem using two-phase flow regimes (liquid and gas) in pipes. Flow patterns are affected by physical variables such as superficial velocity, viscosity, density, and superficial tension.

Pituitary surgery in elderly patients: a safe and effective procedure.

Purpose: The incidence of pituitary adenoma (PA) increases with age. Transsphenoidal surgery (TSS) in elderly patients is often considered to have greater risk compared to the younger population. The aim of this study is to compare surgical results, evolution and postoperative complications between elderly and young patients undergoing TSS.

LipoDDx: a mobile application for identification of rare lipodystrophy syndromes.

Background: Lipodystrophy syndromes are a group of disorders characterized by a loss of adipose tissue once other situations of nutritional deprivation or exacerbated catabolism have been ruled out. With the exception of the HIV-associated lipodystrophy, they have a very low prevalence, which together with their large phenotypic heterogeneity makes their identification difficult, even for endocrinologists and pediatricians. This leads to significant delays in diagnosis or even to misdiagnosis.