Mikko Jalanko1, Mika Tarkiainen2, Petri Sipola2, Pertti Jääskeläinen3, Kirsi Lauerma4, Mika Laine1, Markku S Nieminen1, Markku Laakso5, Tiina Heliö1, Johanna Kuusisto5. 1. a Department of Cardiology , Helsinki University Hospital, Heart and Lung Center , Helsinki , Finland. 2. b Department of Clinical Radiology , Kuopio University Hospital , Kuopio , Finland. 3. c Heart Center, Kuopio University Hospital , Kuopio , Finland. 4. d HUS Medical Imaging Center, Radiology , University of Helsinki and Helsinki University Hospital , Helsinki , Finland. 5. e Institute of Clinical Medicine, Internal Medicine and Kuopio University Hospital , Kuopio , Finland.
Abstract
OBJECTIVE: We assessed the value of speckle tracking two-dimensional (2D) strain echocardiography (2DSE) measured mechanical dispersion (MD) with other imaging and electrocardiographic parameters in differentiating hypertrophic cardiomyopathy (HCM) patients with and without nonsustained ventricular tachycardia (NSVT) on 24-h ambulatory ECG monitoring. METHODS AND RESULTS: We studied 31 patients with HCM caused by the Finnish founder mutation MYBPC3-Q1061X and 20 control subjects with comprehensive 2DSE echocardiography and cardiac magnetic resonance imaging (CMRI). The presence of NSVT was assessed from ambulatory 24-h ECG monitoring. NSVT episodes were recorded in 11 (35%) patients with HCM. MD was significantly higher in HCM patients with NSVT (93 ± 41 ms) compared to HCM patients without NSVT (50 ± 18 ms, p = 0.012) and control subjects (41 ± 16 ms, p < 0.001). MD was the only variable independently associated with the presence of NSVT (OR: 1.60, 95% CI: 1.05-2.45, p = 0.030). Assessed by ROC curves, MD performed best in differentiating between HCM patients with and without NSVT (AUC = 0.81). CONCLUSIONS: Increased mechanical dispersion was associated with NSVT in HCM patients on 24-h ambulatory ECG monitoring. Key messages The prediction of sudden cardiac death in hypertrophic cardiomyopathy remains a challenge and novel imaging methods are required to identify individuals at risk of malignant ventricular arrhythmias. Mechanical dispersion by speckle tracking echocardiography is associated with NSVT on 24-h ambulatory ECG monitoring in patients with hypertrophic cardiomyopathy.
OBJECTIVE: We assessed the value of speckle tracking two-dimensional (2D) strain echocardiography (2DSE) measured mechanical dispersion (MD) with other imaging and electrocardiographic parameters in differentiating hypertrophic cardiomyopathy (HCM) patients with and without nonsustained ventricular tachycardia (NSVT) on 24-h ambulatory ECG monitoring. METHODS AND RESULTS: We studied 31 patients with HCM caused by the Finnish founder mutation MYBPC3-Q1061X and 20 control subjects with comprehensive 2DSE echocardiography and cardiac magnetic resonance imaging (CMRI). The presence of NSVT was assessed from ambulatory 24-h ECG monitoring. NSVT episodes were recorded in 11 (35%) patients with HCM. MD was significantly higher in HCM patients with NSVT (93 ± 41 ms) compared to HCM patients without NSVT (50 ± 18 ms, p = 0.012) and control subjects (41 ± 16 ms, p < 0.001). MD was the only variable independently associated with the presence of NSVT (OR: 1.60, 95% CI: 1.05-2.45, p = 0.030). Assessed by ROC curves, MD performed best in differentiating between HCM patients with and without NSVT (AUC = 0.81). CONCLUSIONS: Increased mechanical dispersion was associated with NSVT in HCM patients on 24-h ambulatory ECG monitoring. Key messages The prediction of sudden cardiac death in hypertrophic cardiomyopathy remains a challenge and novel imaging methods are required to identify individuals at risk of malignant ventricular arrhythmias. Mechanical dispersion by speckle tracking echocardiography is associated with NSVT on 24-h ambulatory ECG monitoring in patients with hypertrophic cardiomyopathy.
Entities:
Keywords:
Arrhythmia; cardiac magnetic resonance; echocardiography; risk assessment; speckle tracking; sudden cardiac death
Authors: Mika Tarkiainen; Petri Sipola; Mikko Jalanko; Tiina Heliö; Pertti Jääskeläinen; Kati Kivelä; Mika Laine; Kirsi Lauerma; Johanna Kuusisto Journal: Sci Rep Date: 2019-04-11 Impact factor: 4.379
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