Electrocardiogram Criteria to Diagnose Cardiac Amyloidosis in Men With a Bundle Branch Block
Sunita Sharma1, Sherif B Labib1, Sachin P Shah1
1Division of Cardiovascular Medicine, Lahey Hospital & Medical Center, Burlington, Massachusetts.
Insights
Diagnosing cardiac amyloidosis with increased left ventricular wall thickness (LVWT) and bundle branch block (BBB) is challenging. A novel Total QRS Score/LVWT index shows promise as a sensitive and specific screening tool for this condition.
Area of Science:
- Cardiology
- Medical Diagnostics
Background:
- Cardiac amyloidosis diagnosis is difficult, often requiring high suspicion in patients with increased left ventricular wall thickness (LVWT).
- Low QRS voltage on ECG is a known marker, but its variable presence (20-74%) limits diagnostic accuracy.
- Existing ECG criteria for cardiac amyloidosis may be unreliable in patients with bundle branch block (BBB) due to conduction system infiltration.
Purpose of the Study:
- To identify novel ECG criteria for diagnosing cardiac amyloidosis in patients with increased LVWT and BBB.
- To evaluate the diagnostic accuracy of various QRS voltage/LVWT ratios.
Main Methods:
- Calculation of several indices including Total QRS Score/LVWT, limb lead QRS score/LVWT, R in lead aVL/LVWT, R in lead I/LVWT, and Sokolow index/LVWT.
- Comparison of these indices in patients with increased LVWT and BBB, differentiating cardiac amyloidosis from LVH due to pressure overload.
Main Results:
- The Total QRS Score/LVWT index demonstrated the highest diagnostic accuracy.
- A cutoff value of 92.5 mV/cm for Total QRS Score/LVWT was 100% sensitive and 83% specific for cardiac amyloidosis.
- This index effectively distinguishes cardiac amyloidosis from pressure overload-induced LVH in the studied population.
Conclusions:
- The Total QRS Score/LVWT index is a valuable tool for screening patients with increased LVWT and BBB.
- This novel index can aid in raising diagnostic suspicion for cardiac amyloidosis, improving early detection.
- It offers improved diagnostic accuracy compared to traditional QRS voltage criteria in patients with BBB.
Abstract:
Diagnosing cardiac amyloidosis is challenging and requires a high index of suspicion in patients with an increased left ventricular wall thickness (LVWT). Low QRS voltage on electrocardiogram (ECG) has been regarded as the hallmark ECG finding in cardiac amyloidosis; however, the presence of low voltage can range from 20-74% and the voltage/mass ratio carries a greater diagnostic accuracy than QRS voltage alone. Patients with cardiac amyloidosis can have conduction system infiltration and this may result in a BBB. Therefore, the ECG or mass/voltage criteria established for patients with a narrow QRS in the diagnosis of cardiac amyloidosis may not be applicable in patients with a BBB. We sought to identify criteria to aid in the diagnosis of cardiac amyloidosis in patients with increased LVWT on echocardiogram and with a BBB on ECG. We calculated the total QRS score/LVWT, limb lead QRS score/LVWT, R in lead aVL/LVWT, R in lead I/LVWT, and Sokolow index/LVWT. In patients with an increase in LVWT and BBB, total QRS voltage that is indexed to wall thickness can help distinguish between patients with increased wall thickness who have cardiac amyloidosis from those who have LVH related to a pressure overload state. A unique index of Total QRS Score/LVWT is the best predictor of cardiac amyloidosis with a cutoff value of 92.5 mV/cm which is 100% sensitive and 83% specific for the diagnosis of cardiac amyloidosis. This may be a useful screening tool in patients with an increased wall thickness to raise diagnostic suspicion for cardiac amyloidosis.
Related Concept Videos
Dysrhythmias IV: Characteristics of Bradyarrhythmias
Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations
Acute Coronary Syndrome III: Diagnostic Studies
Cardiomyopathy III: Hypertrophic Cardiomyopathy
Mitral Stenosis II: Clinical features and Diagnostic Tests
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias


