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Diagnostic utility of specific electrocardiographical parameters in predicting left ventricular function

Altug Cincin1, Beste Ozben, Okan Erdogan

  • 1Department of Cardiology, School of Medicine, Marmara University, Istanbul, Turkey.

Experimental and Clinical Cardiology
|April 18, 2013
PubMed

Insights

Electrocardiography (ECG) parameters, including QRS duration and Goldberger criteria, can predict left ventricular systolic dysfunction (LVSD) in heart failure patients. These bedside tests offer valuable diagnostic insights before advanced imaging.

Area of Science:

  • Cardiology
  • Medical Diagnostics
  • Biomedical Engineering

Background:

  • Electrocardiography (ECG) changes are common in heart failure (HF) patients.
  • Observed ECG parameters include sinus tachycardia, atrial fibrillation, bundle branch blocks, Q waves, and left ventricular (LV) hypertrophy.

Purpose of the Study:

  • To investigate the diagnostic utility of specific ECG parameters for predicting LV systolic dysfunction (LVSD).
  • To correlate ECG findings with LV ejection fraction (LVEF) in patients with suspected HF.

Main Methods:

  • 123 patients with suspected HF and 20 with NYHA class IV HF were recruited.
  • ECG parameters including QRS duration, dispersion, and Goldberger criteria (first, second, and third) were measured.
  • Parameters were correlated with LV ejection fraction (LVEF) determined by echocardiography.

Main Results:

  • A QRS duration ≥124 ms significantly predicted LVSD (OR 4.1, P=0.001).
  • Goldberger's first and third criteria were more frequent in the LVSD group (OR 8.3, P=0.001 and OR 8.9, P<0.001, respectively).
  • Logistic regression identified QRS duration ≥124 ms and Goldberger's first and third criteria as independent predictors of LVSD.

Conclusions:

  • Bedside ECG parameters, specifically Goldberger criteria and QRS duration, are valuable for predicting LVSD in suspected HF.
  • These ECG findings can aid in early risk stratification before advanced diagnostic procedures.
Abstract

Keywords:
ECGEchocardiographyEjection fractionHeart failureQRS

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