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January 1, 1998Pacing and Clinical Electrophysiology

Prevalence of supraventricular arrhythmias from the automated analysis of data stored in the DDD pacemakers of 617 patients: the AIDA study

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Why the study?

Does the AIDA algorithm in DDD pacemakers accurately detect supraventricular arrhythmias compared to Holter monitoring and clinical history in pacemaker recipients?

Population

617 patients who received Chorus 6034/6035, 6234 or 7034 DDD pacemakers with fall-back function. Indications…

Comparison

Automatic Interpretation for Diagnostic… vs 24 h Holter monitoring and clinical history of…

Design

Cohort

Follow-up

28 days

Authors

PDPascal DefayeFDF. DOURNAUXEMElisabeth Mouton

Discussion

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Overview

Supports AIDA reliability for SVA detection in DDD pacemakers; leaves open prospective validation against clinical outcomes.

Key Points

  • Evaluate the reliability and diagnostic accuracy of an automated pacemaker algorithm (AIDA) in detecting supraventricular arrhythmias compared to Holter monitoring and clinical symptoms.
  • Analyzed 617 patients (mean age 70 ± 11 years; 384 men, 233 women) implanted with Chorus DDD pacemakers with fall-back functions.
  • Compared the automated AIDA algorithm against simultaneous 24-hour Holter monitoring at day 1 and followed clinical history up to 28 days post-implant.
  • At day 1, AIDA identified supraventricular arrhythmias in 76 of 617 patients (12.4%) with 93.8% sensitivity and 94.2% specificity relative to 24-hour Holter monitoring.
  • By day 28, AIDA diagnosed arrhythmias in 50.6% of evaluated patients (179/354), including 104 patients (65%) who were entirely asymptomatic and 117 (65%) without pre-implant arrhythmia history.
  • Arrhythmias occurred in 56.3% of patients with atrioventricular block (89/158) compared to 45.9% with other diagnoses (90/196, p = 0.55), with atrial pacing associated with fewer episodes.

Structured PICO

Does the AIDA algorithm in DDD pacemakers accurately detect supraventricular arrhythmias compared to Holter monitoring and clinical history in pacemaker recipients?

P
Population
617 patients (384 men, 233 women, mean age 70 +/- 11 years) who received Chorus 6034/6035, 6234 or 7034 DDD pacemakers with fall-back function. Indications for pacing included atrioventricular block (n=269), sinus node dysfunction (n=248), and both (n=100).
I
Intervention
Automatic Interpretation for Diagnostic Assistance (AIDA) algorithm included in DDD pacemakers
C
Comparator
24 h Holter monitoring (at day 1) and clinical history of symptoms (up to 28 days)
O
Outcome
Detection of supraventricular arrhythmias (SVAs)surrogate

The AIDA algorithm in DDD pacemakers provides reliable automated detection of supraventricular arrhythmias, identifying a high prevalence of asymptomatic and previously undocumented episodes.

Cite This Study

Defaye et al. (1998) studied this question.

synapsesocial.com/papers/6a7da05dd491aa75eb150425https://doi.org/10.1111/j.1540-8159.1998.tb01098.x
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Value of Automatic Processing and Reliability of Stored Data in an Implanted Pacemaker: Initial Results in 59 Patients1997 · 24 citations
  2. 2Retrospective analysis of mode survival, reliability of atrial sensing and incidence of atrial tachyarrhythmias in 307 single-lead VDD pacemaker patients2006 · 8 citations
  3. 3Use of Automatic Mode Change Between DDD and AAI to Facilitate Native Atrioventricular Conduction in Patients with Sick Sinus Syndrome or Transient Atrioventricular Block1996 · 28 citations
  4. 4Performance of a dual-chamber implantable defibrillator algorithm for discrimination of ventricular from supraventricular tachycardia2003 · 44 citations
  5. 5Clinical Results of an Advanced SVT Detection Enhancement Algorithm2005 · 36 citations