Diagnostic utility of 31 ECG criteria for predicting echocardiographic left ventricular geometry

Fernando De-la-Garza-Salazar1,2,3

  • 1Department of Specialties Medical, School of Medicine, Universidad de Monterrey.

Insights

The Cornell and modified Cornell electrocardiogram (ECG) criteria show the best accuracy in identifying left ventricular geometry, outperforming other methods for detecting concentric hypertrophy and eccentric hypertrophy.

Area of Science:

  • Cardiology
  • Medical Diagnostics
  • Biomedical Engineering

Background:

  • Left ventricular (LV) geometry is crucial for cardiovascular health.
  • Accurate non-invasive detection of LV geometry is essential for timely diagnosis and management.
  • Electrocardiogram (ECG) criteria are widely used but their diagnostic utility for specific LV geometries requires further validation.

Purpose of the Study:

  • To evaluate the diagnostic performance of 31 electrocardiogram (ECG) criteria in detecting echocardiographic (Echo) left ventricular (LV) geometries.
  • To compare the accuracy, sensitivity, specificity, and predictive values of various ECG criteria.
  • To identify the most effective ECG criteria for differentiating normal LV geometry from remodeling and hypertrophy.

Main Methods:

  • A cross-sectional study involving 672 adults classified by Echo LV geometry: normal (NL), concentric remodeling (CR), concentric hypertrophy (CH), and eccentric hypertrophy (EH).
  • Calculation and comparison of 31 state-of-the-art ECG criteria for LV hypertrophy.
  • Analysis of diagnostic utility using AUC, accuracy, sensitivity, specificity, and predictive values.
  • Multivariable linear regression models to assess the influence of clinical factors on ECG criteria.

Main Results:

  • Cornell (ECG21) and modified Cornell (ECG31) criteria demonstrated the highest AUC for differentiating NL vs. CH, NL vs. EH, CR vs. CH, and CR vs. EH.
  • These criteria showed superior performance in predicting most LV geometries compared to other evaluated ECG methods.
  • Multivariable analysis indicated that CH and EH had a stronger impact on Cornell and modified Cornell voltages than BMI, age, diabetes, hypertension, or chronic heart disease.

Conclusions:

  • Cornell and modified Cornell ECG criteria are the most effective for diagnosing various left ventricular geometries, particularly hypertrophy.
  • These ECG criteria offer superior diagnostic utility compared to other evaluated methods for specific LV geometry classifications.
  • While effective for hypertrophy, ECG criteria showed limited ability to differentiate normal LV geometry from remodeling (NL vs. CR) and concentric from eccentric hypertrophy (CH vs. EH).
Abstract

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