scholarly journals Case reports of a c.475G>T, p.E159* lamin A/C mutation with a family history of conduction disorder, dilated cardiomyopathy and sudden cardiac death

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Tetsuro Yokokawa ◽  
Shohei Ichimura ◽  
Naoko Hijioka ◽  
Takashi Kaneshiro ◽  
Akiomi Yoshihisa ◽  
...  

Abstract Background Patients with some mutations in the lamin A/C (LMNA) gene are characterized by the presence of dilated cardiomyopathy (DCM), conduction abnormalities, ventricular tachyarrhythmias (VT), and sudden cardiac death (SCD). Various clinical features have been observed among patients who have the same LMNA mutation. Here, we show a family with cardiac laminopathy with a c.475G > T, p.E159* LMNA mutation, and a family history of conduction disorder, DCM, VT, and SCD. Case presentation A proband (female) with atrial fibrillation and bradycardia was implanted with a pacemaker in her fifties. Twenty years later, she experienced a loss of consciousness due to polymorphic VT. She had a serious family history; her mother and elder sister died suddenly in their fifties and sixties, respectively, and her nephew and son were diagnosed as having DCM. Genetic screening of the proband, her son, and nephew identified a nonsense mutation (c.475G > T, p.E159*) in the LMNA gene. Although the proband’s left ventricular ejection fraction remained relatively preserved, her son and nephew’s left ventricular ejection fraction were reduced, resulting in cardiac resynchronization therapy by implantation of a defibrillator. Conclusions In this family with cardiac laminopathy with a c.475G > T, p.E159* LMNA mutation, DCM, SCD, and malignant VT occurred. Clinical manifestation of various atrial and ventricular arrhythmias and heart failure with reduced ejection fraction occurred in an age-dependent manner in all family members who had the nonsense mutation. It appears highly likely that the E159* LMNA mutation is related to various cardiac problems in the family of the current report.

ESC CardioMed ◽  
2018 ◽  
pp. 2327-2330
Author(s):  
Juan Fernandez-Armenta ◽  
Antonio Berruezo ◽  
Juan Acosta ◽  
Diego Penela

Risk stratification for sudden cardiac death (SCD) is one of the main objectives of clinical arrhythmology. Despite increased knowledge of the fundamental basis and predictors of SCD, the estimation of individual risk remains challenging. To date, symptomatic heart failure and reduced left ventricular ejection fraction are the main variables used to identify patients at high risk of SCD who could potentially benefit from preventive therapies. Beyond left ventricular ejection fraction, new diagnostic tools have been proposed to better stratify patients at risk of SCD. Among them, cardiovascular magnetic resonance imaging, which allows direct visualization of the arrhythmogenic substrate, is considered particularly promising. Genetic testing and serum biomarkers may also have a role in SCD risk assessment.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Kelvin C Chua ◽  
Carmen Teodorescu ◽  
Audrey Uy-Evanado ◽  
Kyndaron Reinier ◽  
Kumar Narayanan ◽  
...  

Introduction: If we are to improve risk stratification for sudden cardiac death (SCD) we should extend beyond the LV ejection fraction (LVEF). The frontal QRS-T angle has been shown to predict risk of SCD but its value independent of LVEF has not been investigated. Hypothesis: We hypothesize that a wide frontal QRS-T angle predicts SCD independent of LVEF. Methods: Cases of adult sudden cardiac arrest with an available electrocardiogram before the event were identified from a large ongoing population based study of SCD in the Northwest US (population approx. one million). Subjects with a computable frontal QRS-T angle were included. A total of 686 SCD cases (mean age 67.4 years; 95% CI, 52.5 to 82.3 years; 68.2% males; 83.5% whites) met criteria, and were compared to 871 controls with and without coronary artery disease (mean age 66.8 years, 55.3 to 78.3 years; 67.7% males; 90.6% whites) from the same geographical region. Results: The mean frontal QRS-T angle was higher in SCD cases (73.9 degrees; 95% CI, 17.5 to 130.3 degrees, p<0.0001) compared to controls (51.1 degrees; 95% CI 5.0 to 97.2 degrees). Using a cut-off of more than 90 degrees, the frontal QRS-T angle was predictive of SCD, and remained predictive, after adjusting for age, sex, left ventricular ejection fraction (LVEF), prolonged QTc, prolonged QRS duration and baseline comorbidities (OR 1.80; 95% CI, 1.27 to 2.55, p=0.001). On the receiver operating characteristic (ROC) curve, the QRS-T angle demonstrated an area-under-curve (AUC) value of 0.614. Compared to the lowest quartile of QRS-T angle, the highest quartile had nearly a triple increase in the risk of SCD (OR 2.71; 95% CI; 2.03 to 3.60; p<0.0001). Conclusion: A wide QRS-T angle greater than 90 degrees is associated with increased risk of sudden cardiac death independent of left ventricular ejection fraction.


BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e023724 ◽  
Author(s):  
Fanqi Meng ◽  
Zhihua Zhang ◽  
Xiaofeng Hou ◽  
Zhiyong Qian ◽  
Yao Wang ◽  
...  

IntroductionLeft ventricular ejection fraction (LVEF) ≤35%, as current significant implantable cardioverter-defibrillator (ICD) indication for primary prevention of sudden cardiac death (SCD) in heart failure (HF) patients, has been widely recognised to be inefficient. Improvement of patient selection for low LVEF (≤35%) is needed to optimise deployment of ICD. Most of the existing prediction models are not appropriate to identify ICD candidates at high risk of SCD in HF patients with low LVEF. Compared with traditional statistical analysis, machine learning (ML) can employ computer algorithms to identify patterns in large datasets, analyse rules automatically and build both linear and non-linear models in order to make data-driven predictions. This study is aimed to develop and validate new models using ML to improve the prediction of SCD in HF patients with low LVEF.Methods and analysisWe will conduct a retroprospective, multicentre, observational registry of Chinese HF patients with low LVEF. The HF patients with LVEF ≤35% after optimised medication at least 3 months will be enrolled in this study. The primary endpoints are all-cause death and SCD. The secondary endpoints are malignant arrhythmia, sudden cardiac arrest, cardiopulmonary resuscitation and rehospitalisation due to HF. The baseline demographic, clinical, biological, electrophysiological, social and psychological variables will be collected. Both ML and traditional multivariable Cox proportional hazards regression models will be developed and compared in the prediction of SCD. Moreover, the ML model will be validated in a prospective study.Ethics and disseminationThe study protocol has been approved by the Ethics Committee of the First Affiliated Hospital of Nanjing Medical University (2017-SR-06). All results of this study will be published in international peer-reviewed journals and presented at relevant conferences.Trial registration numberChiCTR-POC-17011842; Pre-results.


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