Electrocardiogram Characteristics and Outcomes in an Adult Congenital Heart Disease Population

Seyedeh Somayyeh Mousavi1, Cheryl L Raskind-Hood2, Alexandra Haffner3

  • 1Department of Biomedical Informatics, Emory University, Atlanta, Georgia, USA.

Insights

Electrocardiogram (ECG) use in adult congenital heart disease (ACHD) can predict adverse events. Specific ECG changes like wider QRS duration and longer QTc intervals are linked to increased mortality risk in ACHD patients.

Area of Science:

  • Cardiology
  • Medical Diagnostics

Background:

  • The electrocardiogram (ECG) is a standard diagnostic tool for acquired heart conditions.
  • Its utility in predicting adverse events in adult congenital heart disease (ACHD) populations remains largely unexplored.

Purpose of the Study:

  • To investigate the association between resting ECG characteristics and adverse cardiac events, including mortality, in a large ACHD cohort.
  • To explore whether ECG parameters and their changes over time can serve as predictors of poor outcomes in ACHD patients.

Main Methods:

  • Analysis of ECGs, clinical outcomes, and vital status from 8130 adults with congenital heart disease (CHD) over a 10-year surveillance period.
  • Categorization of CHD by anatomic groups (left-sided, right-sided, single-ventricle, neither) to account for hemodynamic differences.
  • Evaluation of baseline ECG parameters (QRS duration, QTc interval, QRS-T angle) and changes over time (ΔQRSd, QRS-T angle deviation).

Main Results:

  • Wider QRS duration, longer corrected QT (QTc), greater QRS-T angle, left bundle branch block, and rhythm changes were associated with mortality.
  • Deceased patients exhibited significantly longer mean baseline QRSd and QTc compared to survivors.
  • The deceased group showed a greater increase in QRSd over time (∆QRSd) than the surviving group, and this change was also more pronounced in survivors with adverse events.

Conclusions:

  • ECG characteristics and their temporal changes are significantly associated with adverse cardiac events and mortality in the ACHD population.
  • These findings suggest the potential for developing an ECG-based risk stratification model for identifying high-risk ACHD patients.
  • Further research is warranted to refine ECG parameters for predicting outcomes in this unique patient group.

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