Drug Management in Heart Failure

NCT06915584 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 450

Last updated 2025-04-08

No results posted yet for this study

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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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06915584 on ClinicalTrials.gov