Premature Ventricular Complex
Conditions
Brief 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
Interventions
DEVICEHolter monitoring
24 hours Holter monitoring
Sponsors
Assiut University
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
20 Years to 70 Years
Inclusion criteria
* Patients with ischemic and non-ischemic cardiomyopathy, EF \< 40 % * Patient haemodynamically stable * Patients accept to make test
Exclusion criteria
1. Patients with underlying arrhythmia ex heart block or atrial arrhythmia like PACs, AF. 2. Patients on arrhythmogenic drugs ex digitalis, amiodarone. 3. Patients on underlying Pacemaker device or CRT-D. 4. Patients with MI in less than 40 days 5. Patients refuse to make test .
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Twenty-four hours Holter monitoring after Magnetic Resonance Imaging | One year | 24 Holter monitoring to detect PVCs burden which is defined as ≥10% of total beats |
Outcome results
None listed