Age-specific diastolic dysfunction improves prediction of symptomatic heart failure by Stage B heart failure

Jennifer M Coller1, Fei Fei Gong1,2,3, Michele McGrady4

  • 1Department of Cardiology, St. Vincent's Hospital, Melbourne, Australia.

ESC Heart Failure
|May 17, 2019
PubMed

Insights

Adding specific diastolic dysfunction criteria to Stage B heart failure guidelines improves prediction of symptomatic heart failure in at-risk individuals. Longitudinal strain did not enhance predictive capabilities in this study.

Area of Science:

  • Cardiology
  • Echocardiography
  • Heart Failure Research

Background:

  • Stage B heart failure (SBHF) involves structural or systolic abnormalities but may not fully predict symptomatic heart failure (HF).
  • Diastolic dysfunction (DD) and longitudinal strain (LS) are potential markers for early HF detection.
  • Existing criteria for SBHF and DD vary between guidelines, such as the American Society of Echocardiography/European Association of Cardiovascular Imaging (ASE/EACVI) and Atherosclerosis Risk in Communities (ARIC) study.

Purpose of the Study:

  • To evaluate if incorporating DD and LS into SBHF criteria enhances the prediction of symptomatic HF.
  • To compare the predictive performance of ASE/EACVI and ARIC criteria for SBHF, DD, and LS.
  • To assess the utility of these echocardiographic parameters in a population at increased cardiovascular disease risk.

Main Methods:

  • The study analyzed data from 3190 participants aged ≥60 years with cardiovascular risk factors, recruited for the SCReening Evaluation of the Evolution of New Heart Failure (SCREEN-HF) study.
  • Echocardiography was performed, and participants were followed for a median of 3.9 years for the development of symptomatic HF.
  • Both ASE/EACVI and age-specific ARIC criteria were used to assess SBHF, DD, and LS.

Main Results:

  • ARIC SBHF criteria showed higher sensitivity (81%) than ASE/EACVI (55%) for predicting HF.
  • Adding age-specific ARIC DD criteria to ARIC SBHF criteria significantly improved HF prediction (sensitivity 94%, C-statistic 0.59).
  • Addition of ASE/EACVI DD criteria to SBHF decreased specificity and the overall C-statistic, while LS had minimal impact on prediction with either guideline.

Conclusions:

  • Age-specific ARIC DD criteria, when added to ARIC SBHF criteria, improve the prediction of symptomatic HF in at-risk individuals.
  • ASE/EACVI DD criteria did not improve HF prediction when added to SBHF criteria.
  • Longitudinal strain did not enhance the prediction of symptomatic HF when combined with either set of SBHF criteria.
Abstract

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