[Prevalence of ECG abnormalities in hypertrophic cardiomyopathy: who seeks will find]

Zsolt Forrai1, Fanni Bánfi-Bacsárdi1,2, Dávid Pilecky1,2

  • 11 Gottsegen Gyögy Országos Kardiovaszkuláris Intézet, Felnőtt Kardiológiai Osztály Budapest, Haller u. 29., 1096 Magyarország.

Orvosi Hetilap
|June 22, 2025
PubMed

Insights

Electrocardiogram (ECG) abnormalities are common in hypertrophic cardiomyopathy (HCM) patients, often presenting heterogeneously. Recognizing these diverse ECG findings is crucial for early diagnosis and initiating timely, disease-modifying treatments.

Area of Science:

  • Cardiology
  • Clinical Electrophysiology
  • Cardiovascular Diagnostics

Background:

  • The 2023 European Society of Cardiology guidelines highlight a multiparametric approach for diagnosing cardiomyopathies.
  • Electrocardiogram (ECG) is a vital tool in diagnosing hypertrophic cardiomyopathy (HCM), with normal ECGs found in only 4–18% of patients.
  • ECG deviations in HCM are frequently non-specific, necessitating detailed analysis.

Purpose of the Study:

  • To evaluate the specific ECG characteristics within a cohort of hypertrophic cardiomyopathy patients.
  • To assess the diagnostic utility of various ECG criteria in hypertrophic cardiomyopathy.
  • To correlate ECG findings with hypertrophic obstructive cardiomyopathy versus non-obstructive hypertrophic cardiomyopathy.

Main Methods:

  • Retrospective analysis of patient data and initial ECGs from 72 hypertrophic cardiomyopathy patients diagnosed via cardiac magnetic resonance and/or genetic testing.
  • Patients were followed at the Gottsegen National Cardiovascular Center Heart Failure Outpatient Clinic between November 2023 and September 2024.
  • Evaluation included analysis of conduction disturbances, voltage criteria, Q waves, QRS fragmentation, QT interval, T wave, and ST segment abnormalities.

Main Results:

  • A high prevalence of ECG abnormalities was observed, including atrial fibrillation (6%), interatrial conduction disturbances (29%), and atrioventricular/intraventricular conduction disturbances (50%).
  • Specific findings included pathological Q waves (42%), QRS fragmentation (43%), corrected QT interval prolongation (44%), and T wave inversion (94%).
  • The sensitivity of high voltage criteria (Cornell, Sokolow–Lyon, Peguero–Lo Presti) was low (14–25%), with only the Cornell criterion showing a significant difference between obstructive and non-obstructive HCM (45% vs. 15%, p=0.044).

Conclusions:

  • A multimodal diagnostic approach remains essential for hypertrophic cardiomyopathy.
  • Hypertrophic cardiomyopathy is frequently associated with diverse and heterogeneous ECG abnormalities.
  • Early recognition of these ECG variations can aid in further diagnostic steps and guide disease-modifying treatment initiation.

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