Aim of the proposal is to create an interactive AI-based multicentre prospective database to provide information on how to improve the QoC for pts with HF.This will provide detailed information on pts characteristics,treatment practices, adherence to prescribed guideline-based optimal drug therapy,and outcomes.The database stems from a registry started two years ago,conceived to provide a contemporary snapshot on the adherence to the latest European GGLL for the therapeutic management of pts with HF.The database will be integrated with a specifically designed algorithm that provides an accurate feedback on whether patients are properly treated according to the ESC most recent recommendations.The expected outcomes are:-define non-adherence level to GGLL-based recommendations for treatment of HF;-provide information on initiation, adherence and persistence over time of the recommended treatment;-reduce medical inertia;produce practical implications to reduce morbidity and mortality
| Facility | City | Region | Status |
|---|---|---|---|
| IRCCs San Raffaele | Rome | RM | Recruiting |
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06915584 on ClinicalTrials.gov ↗ ← All trials in Italy