Counselling in Fetal Medicine: Uncomplicated Twin Pregnancies.

Twin pregnancies account for 3% of all pregnancies and they are burdened by higher morbidity and mortality compared to singletons. The role of ultrasound in the screening, diagnosis and management of possible complications of twin pregnancies has been widely investigated in the current literature. However, despite the progress that have been made in the last decades regarding treatment and evidence-based management of complications, twin pregnancies remain at higher risk of adverse outcomes, requiring therefore dedicated surveillance.

Prenatal multidisciplinary counseling for fetal congenital anomalies: A narrative review.

Introduction: Prenatal multidisciplinary counseling for fetuses with congenital anomalies involves a collaborative approach, integrating expertise from various medical fields.

Aims And Approach: This comprehensive strategy aims to provide expectant parents with accurate information about the diagnosis, potential outcomes, and available interventions. Genetic counselors, obstetricians, neonatologists, and other specialists work together to address medical, psychological, and ethical aspects.

Adherence to the Mediterranean diet and risk of anxiety and depression in people with obesity: a cross-sectional analysis.

Background/objectives: Anxiety and depression are common mental disorders worldwide, in particular in people with obesity. Adherence to the Mediterranean diet has been found beneficial for the prevention of anxiety and depression in the general population. We aimed to evaluate this association in a large cohort of people with obesity.

Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach.

Background: The clinical care process for people with prediabetes starts with lifestyle intervention, often escalating to more intense treatment due to the low success rate of the first-line intervention. Clinicians lack clear guidelines on which patients would benefit from early treatment with more intensive therapeutic options, so we aimed to develop an algorithm to early identify non-responders to lifestyle intervention for prediabetes.

Method: Several statistical and machine learning algorithms were screened with internal cross-validation on the basis of accuracy and discrimination ability to correctly classify patients that would fail to normalize fasting glycemia within one year of being prescribed a lifestyle intervention, solely based on the first examination measurements.

Isthmocele diagnosis: The optimal timing for detection.

We describe the changes in size of the uterine niche during the proliferative and secretory phases, highlighting the need to standardize the best time of measurement.