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Efficacy of a Pacemaker Algorithm in Promotion of the Intrinsic Heart Activity.

02:54 EDT 19th April 2014 | BioPortfolio

Summary

The purpose of this study is to provide evidence that the Refined Ventricular Pacing Algorithm leads to clinically relevant reduction (at least 50% reduction) of the incidence of ventricular pacing.

Description

Electrical stimulation in the apex of the right ventricle ( ventricular pacing) usually improves the heart function of patients with a pacemaker and can even be life-saving. However, evidence is accumulating that ventricular pacing may also have undesired long-term cardiac effects. Therefore, it makes sense to limit ventricular pacing to the absolute required minimum. The functionality RVP (Refined Ventricular Pacing) in the C-series 2nd generation pacemakers of Vitatron B.V. Arnhem, the Netherlands is designed to reduce ventricular pacing.

After implantation of the Vitatron C50 D model C50A2 (pacemaker) or Vitatron C60 DR model C60A2 (pacemaker) and a 4-6 weeks stabilization period, proper functioning of pacemaker and leads (stimulation- and sensing parameters) is checked. The pacemakers will be programmed according to predefined settings.

In the following 4-weeks Baseline period diagnostic data (atrial fibrillation burden and percentage of ventricular pacing (% VP)) are collected in the pacemaker memory. Based on these data, patients will be excluded from further participation (patients with more than 15% atrial fibrillation) or subdivided into three groups: (a) < 30% VP (30- VP group), (b) >30% VP, Sick Sinus Syndrome and normal conductivity (SSS group), (c) >30% VP, 1st or 2nd degree AV block. Patients in these three groups will be treated for 4 weeks alternatively with the RVP functionality switched ON or OFF. The order will be determined by randomization. At the end of these two cross-over periods the % VP and the judgment of the patients of the last period will be assessed. Adverse events will be recorded from the moment of study enrolment.

Study Design

Allocation: Randomized, Control: Active Control, Endpoint Classification: Safety/Efficacy Study, Intervention Model: Crossover Assignment, Masking: Double-Blind, Primary Purpose: Treatment

Conditions

Bradycardia; Sick Sinus Syndrome, AV Block

Intervention

Vitatron C50 D Model C50A2 of Vitatron C60 DR model C60A2, Required pacemaker setting

Location

A.ö. Krankenhaus der Elisabethinen Linz
Linz
Emilia Romagna
Austria
4010

Status

Active, not recruiting

Source

Medtronic BRC

Results (where available)

View Results

Links

Medical and Biotech [MESH] Definitions

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.

A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.

Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.

Mutant strain of Rattus norvegicus which is used as a disease model of kernicterus.

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