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Updated: Sep 8, 2025

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
[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.
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.
Abstract:
Introduction: The 2023 European Society of Cardiology Cardiomyopathy Guidelines emphasize the crucial role of a multiparametric approach in diagnosing. During the diagnostic workup of hypertrophic cardiomyopathy, besides echocardiography and cardiac magnetic resonance, ECG plays an important role. Based on literature data, only 4–18% of patients with hypertrophic cardiomyopathy have normal ECG, however, ECG deviations are often non-specific. Objective: To evaluate the ECG characteristics in a hypertrophic cardiomyopathy patient cohort followed-up at the Heart Failure Outpatient Clinic of Gottsegen National Cardiovascular Center. Method: We retrospectively analyzed the data and the first ECGs registered of patients with hypertrophic cardiomyopathy, diagnosed by cardiac magnetic resonance and/or genetic testing, followed-up between 01. 11. 2023 and 30. 09. 2024 at our Heart Failure Outpatient Clinic. Results: Data from 72 patients were evaluated, male: 58%, age: 49 (34–62) years, left ventricular ejection fraction: 63 (47–72)%, NYHA functional class: 2 (1–2), ICD/CRT-D: 47%. Based on the left ventricular outflow tract obstruction of ≥30 mmHg, 31% of the patients belonged to hypertrophic obstructive cardiomyopathy subgroup. Based on the ECGs analyzed, atrial fibrillation occurred in 6%. Interatrial conduction disturbances affected 29% of the patients. Atrioventricular and intraventricular conduction disturbances occurred in 50% (AV block: 20% [grade I: 18%, grade II: 2%, grade III: 0%], right bundle branch block: 14%, left bundle branch block: 16%, left anterior hemiblock: 13%, left posterior hemiblock: 3%, non-specific intraventricular conduction disturbance: 8%). The sensitivity of the Cornell, Sokolow–Lyon, and Peguero–Lo Presti “high voltage” criteria were low (23–14–25%). Pathological Q wave occurred in 42% of the patients, QRS fragmentation in 43% and corrected QT interval prolongation in 44%. T wave inversion was present in 94%, significant ST elevation in 21%, ST depression in 48%, while only 3% of patients had negative ECG. The only difference between hypertrophic obstructive cardiomyopathy and non-obstructive hypertrophic cardiomyopathy patients was the fulfillment of the Cornell criterion (45% vs. 15%, p = 0.044). Conclusions: A multimodal approach is essential in the diagnosis of hypertrophic cardiomyopathy. Based on our results, hypertrophic cardiomyopathy is often associated with heterogeneous ECG abnormalities. However, the early recognition of the ECG variations may help in the further diagnostic steps, contributing to the initiation of disease-modifying treatment. Orv Hetil. 2025; 166(25): 970–981.
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