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Drug Management in Heart Failure
Sponsor: IRCCS San Raffaele Roma
Summary
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
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
450
Start Date
2024-11-30
Completion Date
2025-08-31
Last Updated
2025-04-08
Healthy Volunteers
No
Conditions
Locations (1)
IRCCs San Raffaele
Rome, RM, Italy