Prognostic value of acoustic cardiography in patients with chronic heart failure

Shang Wang1, Ming Liu2, Fang Fang2

  • 1Division of cardiology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Li Ka Shing Institute of Health and Sciences, Institute of Vascular Medicine, The Chinese University of Hong Kong, Hong Kong, China; Department of Cardiology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.

Insights

Acoustic cardiography effectively identifies heart failure (HF) patients at high risk for mortality. Elevated S3 scores and systolic dysfunction index (SDI) predict mortality, aiding clinical decisions.

Area of Science:

  • Cardiology
  • Medical Devices
  • Health Informatics

Background:

  • Heart failure (HF) risk stratification is crucial but challenging.
  • Acoustic cardiography offers a potential solution for identifying high-risk HF patients.
  • This study investigates acoustic cardiography's ability to predict mortality in HF patients.

Purpose of the Study:

  • To determine if acoustic cardiography can identify heart failure patients at high risk for mortality.
  • To evaluate the predictive value of S3 score and systolic dysfunction index (SDI) for all-cause mortality in HF.
  • To assess the potential of acoustic cardiography as a tool for improving HF management.

Main Methods:

  • 474 heart failure patients were enrolled.
  • Acoustic cardiography parameters: S3 score (presence of third heart sound) and SDI (left ventricular systolic dysfunction).
  • Kaplan-Meier survival analysis and Cox regression were used to identify mortality predictors.

Main Results:

  • 169 patients (35.7%) died during a mean follow-up of 484 days.
  • After multivariate analysis, SDI ≥5 and S3 score ≥4 were independent predictors of all-cause mortality.
  • Patients with higher SDI or S3 scores had significantly lower survival rates.

Conclusions:

  • Acoustic cardiography is a cost-effective, time-efficient tool for identifying high-risk HF patients.
  • This technology can aid in aggressive monitoring and intervention decisions for HF.
  • It may enhance the assessment and initial disposition of heart failure patients.
Abstract

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