Drug Management in Heart Failure

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

NCT Number	NCT06915584
Lead Sponsor	IRCCS San Raffaele Roma Collaborators: Azienda Ospedaliero-Universitaria Consorziale Policlinico di Bari, Azienda Ospedaliera Universitaria Mater Domini, Catanzaro
Conditions	Heart Failure
Enrollment	450 participants
Start Date	2024-11-30
Primary Completion	2025-06-30 (estimated)
Study Completion	2025-08-31 (estimated)
Updated on ClinicalTrials.gov	2025-04-08