Trials / Unknown
UnknownNCT05078125
Electrocardiographic and Cardiac Magnetic Resonance Predictors of Ventricular Arrhythmias in Cardiomyopathic Patients
ECG and CMR for Predicting PVCs in Cardiomyopathic Patients
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 79 (estimated)
- Sponsor
- Assiut University · Academic / Other
- Sex
- All
- Age
- 20 Years – 70 Years
- Healthy volunteers
- —
Summary
This study aims to assess ECG changes for predicting ventricular arrhythmia in cardiomyopathic patients
Detailed description
This study aims to assess ECG markers based on 24-hour Holter ECG recordings for predicting ventricular arrhythmia in patients with Structural Heart disease who have left ventricular dysfunction and Left Ventricular Ejection Fraction ≤40%. With special concerns to underlying structural abnormalities in cardiomyopathic patients using Cardiac Magnetic Resonance to determine ventricular function, scar distribution, and grey zone analysis
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | Holter monitoring | 24 hours Holter monitoring |
Timeline
- Start date
- 2022-04-01
- Primary completion
- 2022-12-31
- Completion
- 2023-03-30
- First posted
- 2021-10-14
- Last updated
- 2022-01-25
Regulatory
- FDA-regulated device study
Source: ClinicalTrials.gov record NCT05078125. Inclusion in this directory is not an endorsement.