Skip to content

ECG-based Pattern Recognition for Identification of Heart Failure with preserved Ejection Fraction in Individuals with Dyspnea

ECG-based Pattern Recognition for Identification of Heart Failure with preserved Ejection Fraction in Individuals with Dyspnea - E-PREDICT-HFpEF

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00040078
Enrollment
500
Registered
2026-05-11
Start date
2026-04-14
Completion date
Unknown
Last updated
2026-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

I50.12

Interventions

Group 1: After the patient presents to the Chest Pain Unit, an anamnesis is performed regarding the patient's complaints, during which a screening of the patient for the study-specific inclusion and e

Sponsors

Zentrum für Kardiologie Universitätsmedizin Mainz
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: • Exertional dyspnea (NYHA = 2) • Patient age = 18 years

Exclusion criteria

Exclusion criteria: • Known heart failure • Pacemaker/ICD with continuous pacing • Acute coronary syndrome • Hemodynamic instability and cardiogenic shock • Lack of capacity to consent

Design outcomes

Primary

MeasureTime frame
Data basis from a registry for the development of new ECG-based scores with accurate prediction of heart failure, as well as the development of these scores themselves. Primary endpoint: Diagnosis of HFpEF at the time of presentation to the Chest Pain Unit.

Secondary

MeasureTime frame
Validation of existing algorithms for HFpEF risk prediction over 1 year

Countries

Germany, Italy

Contacts

Public ContactKarl Kresoja

Zentrum für Kardiologie

kresojak@uni-mainz.de+496131178163

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 11, 2026