scholarly journals Risk Stratification for Sudden Cardiac Death in Dilated Cardiomyopathy Using Microvolt-Level T-Wave Alternans

2001 ◽  
Vol 65 (2) ◽  
pp. 76-80 ◽  
Author(s):  
Kazumasa Adachi ◽  
Yoshio Ohnishi ◽  
Mitsuhiro Yokoyama
Keyword(s):  
Sudden Cardiac Death ◽  
Risk Stratification ◽  
Dilated Cardiomyopathy ◽  
Cardiac Death ◽  
T Wave ◽  
T Wave Alternans

RESEARCH THE VALUE OF THE COMBINATION OF T WAVE ALTERNANS AND NT-PROBNT IN PREDICTING SUDDEN CARDIAC DEATH

2012 ◽  
pp. 74-83
Author(s):  
Anh Tien Hoang ◽  
Nhat Quang Nguyen
Keyword(s):  
Myocardial Infarction ◽  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Ventricular Arrhythmias ◽  
Healthy Person ◽  
Treadmill Test ◽  
T Wave ◽  
T Wave Alternans

Background: Decades of research now link TWA with inducible and spontaneous clinical ventricular arrhythmias. This bench-to-bedside foundation makes TWA, NT-ProBNP a very plausible index of susceptibility to ventricular arrythmia, and motivates the need to define optimal combination of TWA and NT-ProBNP in predicting ventricular arrythmia in myocardial infarction patients. We research this study with 2 targets: 1. To evaluate the role of TWA in predicting sudden cardiac death in myocardial infarction patients. 2. To evaluate the role of NT-ProBNP in predicting sudden cardiac death in myocardial infarction patients 3. Evaluate the role of the combined NT-ProBNP and TWA in predicting sudden cardiac death in myocardial infarction patients. Methods: Prospective study with follow up the mortality in 2 years: 71 chronic myocardial infarction patients admitted to hospital from 5/2009 to 5/20011 and 50 healthy person was done treadmill test to caculate TWA; ECG, echocardiography, NT-ProBNP. Results: Cut-off point of NT-ProBNP in predicting sudden cardiac death is 3168 pg/ml; AUC = 0,86 (95% CI: 0,72 - 0,91); Cut-off point of TWA in predicting sudden cardiac death is 107 µV; AUC = 0,81 (95% CI: 0,69 - 0,87); NT-ProBNP can predict sudden cardiac death with OR= 7,26 (p<0,01); TWA can predict sudden cardiac death with OR= 8,45 (p<0,01). The combined NT-ProBNP and TWA in predicting ventricular arrythmia in heart failure patients: OR= 17,91 (p<0,001). Conclusions: The combined NT-ProBNP and TWA have the best predict value of sudden cardiac death in myocardial infarction patients, compare to NT-ProBNP or TWA alone

scholarly journals Sudden Cardiac Death in Hereditary Dilated Cardiomyopathy

2020 ◽  
Author(s):  
Marianna Leopoulou ◽  
Jo Ann LeQuang ◽  
Joseph V. Pergolizzi ◽  
Peter Magnusson
Keyword(s):  
Sudden Cardiac Death ◽  
Left Ventricle ◽  
Sudden Death ◽  
Risk Stratification ◽  
Dilated Cardiomyopathy ◽  
Cardiac Death ◽  
Disease Risk ◽  
Systolic Dysfunction ◽  
Preventive Strategies ◽  
Genetic Origin

Dilated cardiomyopathy (DCM) is characterized by the phenotype of a dilated left ventricle with systolic dysfunction. It is classified as hereditary when it is deemed of genetic origin; more than 50 genes are reported to be related to the condition. Symptoms include, among others, dyspnea, fatigue, arrhythmias, and syncope. Unfortunately, sudden cardiac death may be the first manifestation of the disease. Risk stratification regarding sudden death in hereditary DCM as well as preventive management poses a challenge due to the heterogeneity of the disease. The purpose of this chapter is to present the epidemiology, risk stratification, and preventive strategies of sudden cardiac death in hereditary DCM.

scholarly journals Risk stratification and subclinical phenotyping of dilated and/or arrhythmogenic cardiomyopathy mutation-positive relatives: CVON eDETECT consortium

2021 ◽  
Author(s):  
R. W. Roudijk ◽  
K. Taha ◽  
M. Bourfiss ◽  
P. Loh ◽  
L. van den Heuvel ◽  
...  
Keyword(s):  
Heart Failure ◽  
Sudden Cardiac Death ◽  
Early Detection ◽  
Risk Stratification ◽  
Dilated Cardiomyopathy ◽  
Cardiac Death ◽  
Diagnostic Techniques ◽  
Arrhythmogenic Cardiomyopathy ◽  
Early Detection Of Disease ◽  
Non Invasive

AbstractIn relatives of index patients with dilated cardiomyopathy and arrhythmogenic cardiomyopathy, early detection of disease onset is essential to prevent sudden cardiac death and facilitate early treatment of heart failure. However, the optimal screening interval and combination of diagnostic techniques are unknown. The clinical course of disease in index patients and their relatives is variable due to incomplete and age-dependent penetrance. Several biomarkers, electrocardiographic and imaging (echocardiographic deformation imaging and cardiac magnetic resonance imaging) techniques are promising non-invasive methods for detection of subclinical cardiomyopathy. However, these techniques need optimisation and integration into clinical practice. Furthermore, determining the optimal interval and intensity of cascade screening may require a personalised approach. To address this, the CVON-eDETECT (early detection of disease in cardiomyopathy mutation carriers) consortium aims to integrate electronic health record data from long-term follow-up, diagnostic data sets, tissue and plasma samples in a multidisciplinary biobank environment to provide personalised risk stratification for heart failure and sudden cardiac death. Adequate risk stratification may lead to personalised screening, treatment and optimal timing of implantable cardioverter defibrillator implantation. In this article, we describe non-invasive diagnostic techniques used for detection of subclinical disease in relatives of index patients with dilated cardiomyopathy and arrhythmogenic cardiomyopathy.

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