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The Diagnostic Value of the 12-Lead ECG in Arrhythmogenic Left Ventricular Cardiomyopathy: Novel ECG Signs
Leonardo Calò1, Cinzia Crescenzi1, Annamaria Martino1
1Division of Cardiology, Policlinico Casilino, Rome, Italy.
Insights
Electrocardiogram (ECG) can identify arrhythmogenic left ventricular cardiomyopathy (ALVC) using specific findings like pathological Q waves and left posterior fascicular block. Novel ECG criteria, including R-wave sum and S-wave plus R-wave measurements, effectively distinguish ALVC patients from healthy individuals.
Area of Science:
- Cardiology
- Medical Imaging
- Genetics
Background:
- Electrocardiographic (ECG) findings in arrhythmogenic left ventricular cardiomyopathy (ALVC) are not well-defined, often limited to small case series.
- Understanding ECG characteristics is crucial for diagnosing and managing ALVC, a condition affecting the heart's left ventricle.
Approach:
- This study analyzed ECG data from 54 ALVC patients, comparing them with 84 healthy controls.
- Cardiac magnetic resonance and genotype data were correlated with ECG findings to validate diagnostic criteria.
Key Points:
- Novel ECG findings in ALVC include left posterior fascicular block (LPFB), pathological Q waves, and a prominent R-wave in V1 (R/S ratio ≥0.5).
- Low QRS voltages were observed in ALVC patients, particularly in limb leads I and II.
- Specific ECG criteria, such as R-wave sum in leads I-II ≤8mm and S-wave in V1 + R-wave in V6 ≤12mm, demonstrated high accuracy in discriminating ALVC from controls.
- These criteria identified ALVC in patients with initially normal-appearing ECGs.
Conclusions:
- Pathological Q waves, LPFB, and a prominent R-wave in V1 are common ECG indicators of ALVC.
- The ECG criteria R-wave sum in leads I-II ≤8mm and S-wave in V1 + R-wave in V6 ≤12mm are specific for identifying ALVC phenotypes.
- ECG analysis, incorporating these novel findings, can significantly improve the diagnosis of ALVC.
Background:
Electrocardiographic (ECG) findings in arrhythmogenic left ventricular cardiomyopathy (ALVC) are limited to small case series.
Objectives:
This study aimed to analyze the ECG characteristics of ALVC patients and to correlate ECG with cardiac magnetic resonance and genotype data.
Methods:
We reviewed data of 54 consecutive ALVC patients (32 men, age 39 ± 15 years) and compared them with 84 healthy controls with normal cardiac magnetic resonance.
Results:
T-wave inversion was often noted (57.4%), particularly in the inferior and lateral leads. Low QRS voltages in limb leads were observed in 22.2% of patients. The following novel ECG findings were identified: left posterior fascicular block (LPFB) (20.4%), pathological Q waves (33.3%), and a prominent R-wave in V1 with a R/S ratio ≥0.5 (24.1%). The QRS voltages were lower in ALVC compared with controls, particularly in lead I and II. At receiver-operating characteristic analysis, the sum of the R-wave in I to II ≤8 mm (AUC: 0.909; P < 0.0001) and S-wave in V1 plus R-wave in V6 ≤12 mm (AUC: 0.784; P < 0.0001) effectively discriminated ALVC patients from controls. It is noteworthy that 4 of the 8 patients with an apparently normal ECG were recognized by these new signs. Transmural late gadolinium enhancement was associated to LPFB, a R/S ratio ≥0.5 in V1, and inferolateral T-wave inversion, and a ringlike pattern correlated to fragmented QRS, SV1+RV6 ≤12 mm, low QRS voltage, and desmoplakin alterations.
Conclusions:
Pathological Q waves, LPFB, and a prominent R-wave in V1 were common ECG signs in ALVC. An R-wave sum in I to II ≤8 mm and SV1+RV6 ≤12 mm were specific findings for ALVC phenotypes compared with controls.
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