Clinical trials

Perianal diseases, such as perianal abcesses, anal fistulae and perianal Crohn's disease, are often associated with significant physical symptoms, including pain and chronic drainage. However, the impact of these conditions on a patient's personal life, intimacy, and body image-often referred to as "hidden morbidity"-is frequently overlooked in clinical practice. The purpose of this prospective observational study is to evaluate the psychosexual burden in patients suffering from chronic perianal disease. Using validated tools (IIEF-5 for men, FSFI-6 for women) and a specialized Supplemental Patient-Reported Outcome Measure (PROM), researchers will investigate how the presence of surgical devices (such as setons), disease etiology, and clinical symptoms affect sexual function and self-esteem. The study also aims to identify gaps in physician-patient communication regarding sexual health. By quantifying these impacts, the study seeks to promote a more holistic, patient-centered approach to the surgical management of perianal conditions.

The purpose of the RIVA-RAO study is to determine whether the use of Rivaroxaban is an effective treatment of radial artery occlusion (RAO) after cardiac catheterization (both angiography and PCI). This is a prospective, single-center, randomized controlled, open-label study that will randomize patients with RAO into two groups, one receiving Rivaroxaban and the other receiving no anticoagulation. RAO will be detected by radial artery ultrasound up to 24 hours after the procedure. Study objectives: Primary objective: To evaluate the effect of treatment with Rivaroxaban, in patients (both symptomatic and asymptomatic) with RAO after a coronary catheterization procedure (both angiography and percutaneous coronary intervention-PCI), in improving patency rates of the radial artery at 4 weeks after the procedure, compared with no-anticoagulation treatment. Secondary objectives: To compare local access site and systemic complications (bleeding events, pseudoaneurysm, arteriovenous fistula) at 4 weeks after the procedure between the two groups.

The purpose of this study is to highlight the usefulness of artificial intelligence and machine learning to develop computer algorithms that will achieve with great reliability, speed and accuracy the automatic extraction and processing of large volumes of raw and unstructured clinical data from electronic medical files.