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RECRUITING
NCT06915584

Drug Management in Heart Failure

Sponsor: IRCCS San Raffaele Roma

View on ClinicalTrials.gov

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