scholarly journals CHARACTERISATION OF HYPERTROPHIC CARDIOMYOPATHY BY CARDIAC MAGNETIC RESONANCE IMAGING

2021 ◽  
Vol 9 (11) ◽  
pp. 643-648
Author(s):  
Nava Udaya N.R ◽  
◽  
Ramiah Rajesh Kannan ◽  
Srikanth Moorthy ◽  
Resmi Sekhar ◽  
...  

Background: There are many causes of left ventricular hypertrophy which can result in arrhythmias and sudden cardiac death. Hypertrophic cardiomyopathy (HCM) is one of the commonly encountered cause of sudden cardiac death in young adults. Aim: Identifying the role of Cardiac MRI in characterising the diagnostic parameters of HCM. Materials and methods: 125 patients with clinical suspicion or genetic evidence of HCM referred for cardiac MRI between June 2013 to June 2021 were included under the study. Image interpretations were done by fellowship qualified cardiac imaging radiologist. Categorical variables were expressed using frequency and percentage. Numerical variables were presented using mean and standard deviation. Results: Out of the total population, 119 patients (95 %) had LV wall thickness > 13 mm, 48 patients (38.4%) had Left ventricle outflow tract obstruction (LVOTO) and 32 patients (25.6 %) had mid cavity obstruction, 39 patients (37.9 %) had myocardial scar > 15 % and asymmetric septal hypertrophy was the most frequently encountered left ventricle morphology Conclusion: Cardiac MRI detected HCM has a statistically significant association with the final diagnosis (histopathological and genetic correlation). CMRI hence serves as a reliable tool in identifying and characterising the various diagnostic and non- diagnostic parameters of HCM.

Author(s):  
Hyun-Jung Lee ◽  
Hyung-Kwan Kim ◽  
Sang Chol Lee ◽  
Jihoon Kim ◽  
Jun-Bean Park ◽  
...  

Abstract Aims We investigated the prognostic role of left ventricular global longitudinal strain (LV-GLS) and its incremental value to established risk models for predicting sudden cardiac death (SCD) in patients with hypertrophic cardiomyopathy (HCM). Methods and results LV-GLS was measured with vendor-independent software at a core laboratory in a cohort of 835 patients with HCM (aged 56.3 ± 12.2 years) followed-up for a median of 6.4 years. The primary endpoint was SCD events, including appropriate defibrillator therapy, within 5 years after the initial evaluation. The secondary endpoint was a composite of SCD events, heart failure admission, heart transplantation, and all-cause mortality. Twenty (2.4%) and 85 (10.2%) patients experienced the primary and secondary endpoints, respectively. Lower absolute LV-GLS quartiles, especially those worse than the median (−15.0%), were associated with progressively higher SCD event rates (P = 0.004). LV-GLS was associated with an increased risk for the primary endpoint, independent of the LV ejection fraction, apical aneurysm, and 2014 European Society of Cardiology (ESC) risk score [adjusted hazard ratio (aHR) 1.14, 95% confidence interval (CI) 1.02–1.28] or 2011 American College of Cardiology/American Heart Association (ACC/AHA) risk factors (aHR 1.18, 95% CI 1.05–1.32). LV-GLS was also associated with a higher risk for the composite secondary endpoint (aHR 1.06, 95% CI 1.01–1.12). The addition of LV-GLS enhanced the performance of the ESC risk score (C-statistic 0.756 vs. 0.842, P = 0.007) and the 2011 ACC/AHA risk factor strategy (C-statistic 0.743 vs. 0.814, P = 0.007) for predicting SCD. Conclusion LV-GLS is an important prognosticator in patients with HCM and provides additional information to established risk stratification strategies for predicting SCD.


Author(s):  
Constantinos O’Mahony

Sudden cardiac death (SCD) secondary to ventricular arrhythmias is the most common mode of death in hypertrophic cardiomyopathy (HCM) and can be effectively prevented with an implantable cardioverter defibrillator (ICD). The risk of SCD in HCM relates to the severity of the phenotype and regular risk stratification is an integral part of routine clinical care. For the primary prevention of SCD, risk stratification involves the assessment of seven readily available clinical parameters (age, maximal left ventricular wall thickness, left atrial diameter, left ventricular outflow tract gradient, non-sustained ventricular tachycardia, unexplained syncope, and family history of SCD) which are used to estimate the risk of SCD within 5 years of clinical evaluation using a statistical risk prediction model (HCM Risk-SCD). The 2014 European Society of Cardiology Guidelines provide a framework to aid clinical decisions and consider patients with a 5-year risk of SCD of less than 4% as low risk and recommend regular assessment while those with a risk of 6% or higher should be considered for an ICD. In patients with an intermediate risk (4% to <6%) ICD implantation may also be considered after taking into account age, co-morbid conditions, socioeconomic factors, and the psychological impact of therapy. Survivors of ventricular fibrillation arrest should receive an ICD for secondary prevention unless their life expectancy is less than 1 year. Following device implantation, patients should be followed up for device- and disease-related complications, particularly heart failure and cerebrovascular disease.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Gabrielle Norrish ◽  
Juan Pablo Kaski

Hypertrophic cardiomyopathy (HCM) is defined as left ventricular hypertrophy in the absence of loading conditions sufficient to cause the observed abnormality. The true prevalence in childhood is unknown; the aetiology is more heterogeneous than that seen in adult populations, and includes inborn errors of metabolism, malformation syndromes and neuromuscular syndromes. However, one of the greatest clinical challenges in managing young patients with HCM is identifying those at greatest risk of sudden cardiac death.


2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Y. Daralammouri ◽  
M. El Garhy ◽  
K. Same ◽  
B. Lauer

Hypertrophic cardiomyopathy is the most common genetic disease of the heart. We report a rare case of hypertrophic obstructive cardiomyopathy mimicking an acute anterior myocardial infarction associated with sudden cardiac death. The patient presented with acute ST elevation myocardial infarction and significant elevation of cardiac enzymes. Cardiac catheterization showed some atherosclerotic coronary artery disease, without significant stenosis. Echocardiography showed left ventricular hypertrophy with a left ventricular outflow tract obstruction; the pressure gradient at rest was 20 mmHg and became severe with the Valsalva maneuver (100 mmHg). There was no family history of sudden cardiac death. Six days later, the patient suffered a syncope on his way to magnetic resonance imaging. He was successfully resuscitated by ventricular fibrillation.


2014 ◽  
Vol 37 (8) ◽  
pp. 493-498 ◽  
Author(s):  
Pieter A. Vriesendorp ◽  
Arend F.L. Schinkel ◽  
Natasja M. S. de Groot ◽  
Ron T. van Domburg ◽  
Folkert J. ten Cate ◽  
...  

2020 ◽  
Vol 70 (5) ◽  
pp. 358-367
Author(s):  
Robert F Oldt ◽  
Kimberly J Bussey ◽  
Matthew L Settles ◽  
Joseph N Fass ◽  
Jeffrey A Roberts ◽  
...  

In humans, abnormal thickening of the left ventricle of the heart clinically defines hypertrophic cardiomyopathy (HCM), a common inherited cardiovascular disorder that can precede a sudden cardiac death event. The wide range of clinical presentations in HCM obscures genetic variants that may influence an individual's susceptibility to sudden cardiac death. Although exon sequencing of major sarcomere genes can be used to detect high-impact causal mutations, this strategy is successful in only half of patient cases. The incidence of left ventricular hypertrophy (LVH) in a managed research colony of rhesus macaques provides an excellent comparative model in which to explore the genomic etiology of severe HCM and sudden cardiac death. Because no rhesus HCM-associated mutations have been reported, we used a next-generation genotyping assay that targets 7 sarcomeric rhesus genes within 63 genomic sites that are orthologous to human genomic regions known to harbor HCM disease variants. Amplicon sequencing was performed on 52 macaques with confirmed LVH and 42 unrelated, unaffected animals representing both the Indian and Chinese rhesus macaque subspecies. Bias-reduced logistic regression uncovered a risk haplotype in the rhesus MYBPC3 gene, which is frequently disrupted in both human and feline HCM; this haplotype implicates an intronic variant strongly associated with disease in either homozygous or carrier form. Our results highlight that leveraging evolutionary genomic data provides a unique, practical strategy for minimizing population bias in complex disease studies.


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