A restrictive inflow pattern does not predict implantable cardioverter-defibrillator therapy in primary prevention

Jennifer L Dorosz1, Keith D Aaronson, Eric D Good

  • 1University of Michigan, Ann Arbor, Michigan, USA.

Clinical Cardiology
|December 17, 2009
PubMed

Insights

Echocardiography showing severe diastolic dysfunction, specifically a restrictive mitral inflow pattern, did not predict appropriate implantable cardioverter-defibrillator (ICD) therapy in primary prevention patients. This finding suggests current echocardiographic methods are insufficient for selecting high-risk individuals for ICDs.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Electrophysiology

Background:

  • Current implantable cardioverter-defibrillator (ICD) guidelines are broad, increasing healthcare costs.
  • Identifying specific patient subsets who benefit from ICDs is crucial for cost-effective care.
  • Severe diastolic dysfunction predicts adverse events in secondary ICD prevention but its role in primary prevention is unstudied.

Purpose of the Study:

  • To test if a restrictive mitral inflow pattern on echocardiography predicts appropriate ICD therapy risk.
  • To evaluate echocardiographic parameters for improved patient selection for primary prevention ICDs.

Main Methods:

  • Retrospective study of 145 primary prevention ICD patients with pre-implantation echocardiograms.
  • Defined restrictive pattern as E/A ratio > 2 or deceleration time < 150 ms.
  • Analyzed time to first appropriate ICD therapy over average 680-day follow-up.

Main Results:

  • A restrictive pattern was present in 40.7% of patients.
  • Appropriate ICD therapy occurred in 11.5% with restrictive pattern vs. 18.4% with nonrestrictive pattern (P=NS).
  • Cox regression showed restrictive pattern did not predict time to first ICD therapy.

Conclusions:

  • Echocardiographic findings of severe diastolic dysfunction do not help target ICD use in primary prevention patients.
  • Restrictive mitral inflow pattern is not a reliable predictor of appropriate ICD therapy in this population.
  • Further research is needed to identify better biomarkers for primary prevention ICD selection.
Abstract

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