Drug Management in Heart Failure

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

Eligibility

Inclusion Criteria:

* Both gender
* Age \>18 years
* Signed informed consent for the study
* Known diagnosis of heart failure \> 6 months
* Recent or ongoing hospitalization for heart failure exacerbation

Exclusion Criteria:

* Conditions that, in the investigator's judgment, may interfere with the study or contraindicate participation for safety reasons
* Concurrent diagnosis of neoplasia
* Advanced COPD (FEV1 \<50%)
* Advanced valvular heart disease (severe mitral-aortic stenosis-insufficiency requiring cardiac surgery)

Conditions2

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