Clinical trials

The "Sentinella" project aims to improve the early recognition and prevention of child maltreatment by creating a digital registry and education network for healthcare professionals. The study will test a new online registry built on the REDCap platform to collect standardized, anonymous data about suspected cases of abuse or neglect. It also includes a structured training program for pediatricians and other healthcare workers to strengthen their skills in identifying and reporting maltreatment. This observational study will assess how easy the registry is to use and whether the training improves participants' knowledge and reporting practices. The project is expected to enhance collaboration between hospitals and community services, reduce reporting delays, and create a model for regional or national systems to protect vulnerable children.

The purpose of the study is to verify and validate the parameters collected from mobile devices via the app named "Comestai" and from reference devices. The assessments considered to define comorbidities are included.. Specifically, collection of vital parameters (Blood Pressure, Heart Rate, Respiratory Rate, Oxygen Saturation) through the "Comestai" Application via mobile phones (using photoplethysmographic method) and reference devices such as Withings-Blood Pressure Monitor Connect® (for Blood Pressure), Polar Verity Sense® (for Heart Rate), Masimo-finger sensor® (for Oxygen Saturation, Respiratory Rate), comparing and confirming them. Consent will be sought for the viewing and collection of blood test results that are normally included in evaluations for subjects with overweight and/or obesity and/or diabetes. Estimated time required for each measurement recording: 10-15 minutes per subject Total number of subjects: 3000

We propose a multicenter prospective study to define the prevalence and severity score of metabolic syndrome in a prepubertal pediatric cohort with congenital hypothyroidism, compared to a healthy and normal-weight pediatric population. These data will help to define whether hypothyroidism can be considered a risk factor for the metabolic health of the pediatric population. The possible identification of an at-risk metabolic profile will provide useful information to optimize the diagnostic and monitoring pathway for affected children.