Longitudinal left ventricular strain in hypertrophic cardiomyopathy: correlation with nonsustained ventricular
Emanuel Correia1, Bruno Rodrigues, Luís Ferreira Santos
1Hospital S. Teotónio, Viseu, Portugal. emanuelbaptista@gmail.com
Insights
Reduced myocardial strain in hypertrophic cardiomyopathy (HCM) patients predicts nonsustained ventricular tachycardia (NSVT). This 2D speckle tracking measure aids in sudden cardiac death (SCD) risk stratification.
Area of Science:
- Cardiology
- Echocardiography
- Cardiac Electrophysiology
Background:
- Sudden cardiac death (SCD) risk stratification in hypertrophic cardiomyopathy (HCM) remains challenging due to limitations of current risk factors.
- Myocardial deformation analysis using 2D speckle tracking offers a novel approach to assess regional left ventricular (LV) function and its correlation with myocardial disarray and fibrosis.
Purpose of the Study:
- To investigate the relationship between myocardial strain parameters derived from 2D speckle tracking and the occurrence of nonsustained ventricular tachycardia (NSVT) in patients with HCM.
- To evaluate the potential of strain analysis as a new tool for SCD risk stratification in HCM.
Main Methods:
- Thirty-two consecutive patients diagnosed with HCM underwent standard echocardiography and 2D speckle tracking strain analysis.
- Twenty-four-hour Holter monitoring was performed to detect NSVT, and echocardiographic parameters were correlated with its presence.
Main Results:
- Nine patients (28%) experienced NSVT. These patients exhibited higher maximal LV thickness compared to those without NSVT.
- Significant reductions in mid septal, apical septal, apical lateral strain, and mean longitudinal strain were observed in patients with NSVT.
- Midseptal strain < -10.5% demonstrated high sensitivity (89%) and specificity (74%) for predicting NSVT, independent of age or maximum wall thickness.
Conclusions:
- Lower end-systolic peak longitudinal strain, as measured by 2D speckle tracking, is a significant predictor of NSVT in HCM patients.
- This strain parameter holds promise as a valuable tool for improving SCD risk stratification in the HCM population.
Aims:
Stratifying risk of sudden death is a major issue in the management of hypertrophic cardiomyopathy (HCM). Existing risk factors have low positive predictive value and new parameters are needed. Determination of myocardial deformation (strain) by 2D Speckle tracking is a new methodology for determining LV regional function and could correlate with myocite disarray and fibrosis. The aim of this study was to assess the relationship between strain analysis and nonsustained ventricular tachycardia (NSVT) in patients with HCM.
Methods:
Thirty-two consecutive patients with HCM (mean age 55, 17-78) were studied. All underwent standard echocardiographic and two-dimensional strain examination. Twenty-four-hour Holter monitoring was performed and echocardiographic parameters were correlated with NSVT.
Results:
Nine patients (28%) had one or more episodes of NSVT. Patients with NSVT had a higher value of maximal LV thickness (23.6 mm vs. 19.4 mm, P = 0.027). There were no significant associations between NSVT on Holter monitoring and LV outflow gradient left atrial diameter, E/Em or left ventricle ejection fraction. Patients with HCM and NSVT had significant reductions in mid septal, apical-septal, apical-lateral strain, and in mean longitudinal strain. Midseptal strain >-10.5% had a sensitivity of 89% and a specificity of 74% (area under the curve, 0.787; P < 0.0013) for predicting NSVT independently of age or maximum wall thickness.
Conclusion:
Lower end-systolic peak longitudinal strain obtained by 2D speckle tracking was a predictor of NSVT in HCM patients. This parameter could become a useful tool in stratifying SCD risk in this population.
Related Concept Videos
Cardiomyopathy III: Hypertrophic Cardiomyopathy
Mitral Regurgitation I: Introduction
Heart Failure II: Pathophysiology
Mitral Stenosis I: Introduction
Mitral Stenosis II: Clinical features and Diagnostic Tests
Aortic Regurgitation II: Clinical Features and Diagnostic Tests

