Atrial Fibrillation Clinical Trial
Official title:
Diagnostic Data Influence on Disease Management and Relation of Genetic Polymorphisms to Tachy-arrhythmia in ICD Patients.
To prospectively evaluate if the analysis of genetic polymorphisms can be used to identify
patients at risk of ventricular tachycardia.
To evaluate the influence of ICD-based diagnostic information on the long term treatment and
management of primary prevention ICD-patients.
Evaluate the positive predictive value of single nucleotide polymorphisms (SNPs) in the genes
GNB3, GNAS and GNAQ as predictors of ventricular arrhythmia <400 msec.
1. Evaluate the positive predictive value of Single Nucleotide Polymorphisms as predictor
for death, cardiac death and atrial fibrillation/flutter in the genes GNB3, GNAS, GNAQ
and other SNPs involving signal transduction components which impact on the activity of
cardiac ion channels.
2. Evaluate the best combination of genetic parameters, baseline data and follow-up data as
predictor of primary endpoint, All cause Mortality, cardiac death and atrial arrhythmia.
3. Evaluate the usage of ICD-system diagnostics (battery status, impedance, pacing
threshold, sensing) resulting in medical consequences*.
4. Evaluate the usage of ICD-based patient diagnostics (arrhythmia, IEGM, heart frequency,
%pacing, Cardiac Compass) resulting in medical consequences*.
5. Evaluate the frequency of programming changes involving AF-prevention and AF-therapy
algorithms.
6. Evaluate the frequency of pacing-parameter programming changes and the resulting medical
consequences*.
- Medical consequences include: Hospitalization, medical interventions, medication,
surgery, additional diagnostics and ICD-programming changes.
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