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Electrocardiographic and Cardiac Magnetic Resonance Predictors of Ventricular Arrhythmias in Cardiomyopathic Patients

A

Assiut University

Status

Unknown

Conditions

Premature Ventricular Complex

Treatments

Device: Holter monitoring

Study type

Observational

Funder types

Other

Identifiers

NCT05078125
AssiutU KMAly

Details and patient eligibility

About

This study aims to assess ECG changes for predicting ventricular arrhythmia in cardiomyopathic patients

Full 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

Enrollment

79 estimated patients

Sex

All

Ages

20 to 70 years old

Volunteers

No Healthy Volunteers

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 .

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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