Drug Management in Heart Failure
NCT06915584 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 450
Last updated 2025-04-08
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
Conditions
Sponsors & Collaborators
-
Azienda Ospedaliero-Universitaria Consorziale Policlinico di Bari
collaborator OTHER -
Azienda Ospedaliera Universitaria Mater Domini, Catanzaro
collaborator OTHER -
IRCCS San Raffaele Roma
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-11-30
- Primary Completion
- 2025-06-30
- Completion
- 2025-08-31
Countries
- Italy
Study Locations
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