Publications by authors named "Peter van Tintelen"

Background: founder variants cause hypertrophic cardiomyopathy leading to heart failure and malignant ventricular arrhythmias. Exercise is typically regarded as a risk factor for disease expression although evidence is conflicting. Stratifying by type of exercise may discriminate low- from high-risk activities in these patients.

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Purpose Of Review: This review aims to explore the emerging potential of artificial intelligence (AI) in refining risk prediction, clinical diagnosis, and treatment stratification for cardiomyopathies, with a specific emphasis on arrhythmogenic cardiomyopathy (ACM).

Recent Findings: Recent developments highlight the capacity of AI to construct sophisticated models that accurately distinguish affected from non-affected cardiomyopathy patients. These AI-driven approaches not only offer precision in risk prediction and diagnostics but also enable early identification of individuals at high risk of developing cardiomyopathy, even before symptoms occur.

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Background: The long-term prognosis of patients with a loss-of-function variant in the cardiac sodium channel gene SCN5A is unknown.

Objective: This study aimed to evaluate the long-term arrhythmic risk in patients with an SCN5A loss-of-function variant to identify predictors of arrhythmic events.

Methods: Probands and family members with (likely) pathogenic SCN5A loss-of-function variants were retrospectively included.

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Introduction: Current guidelines recommend suspecting transthyretin amyloid cardiomyopathy (ATTR-CM) in patients over 65 years of age with unexplained left ventricular (LV) hypertrophy in a non-dilated LV, heart failure (HF) and preserved ejection fraction (HFpEF), hypertrophic cardiomyopathy or severe aortic stenosis. However, there is evidence indicating a high prevalence of ATTR-CM in other HF phenotypes. As such, this study aimed to characterize the diversity of HF phenotypes of ATTR-CM by examining the LV ejection fraction and LV dilatation using echocardiography.

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  • Pathogenic variants in the desmoplakin (DSP) gene lead to a unique type of cardiomyopathy that doesn't fit neatly into existing categories like DCM, NDLVC, or ARVC, with limited past studies on potential predictors of severe outcomes.
  • Researchers analyzed 800 patients with DSP variants from a global network over an average of 3.7 years, finding that 17.4% experienced sustained ventricular arrhythmias (VAs) and 9.0% had heart failure (HF) hospitalizations.
  • Key risk factors for developing VAs included female sex, history of non-sustained and sustained VAs, and lower left ventricular ejection fraction, while T-wave inversion was linked to HF
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  • Pathogenic variants in the desmoplakin (DSP) gene are linked to a specific type of arrhythmogenic cardiomyopathy, which increases the risk of serious heart rhythm issues, but current evaluation methods are unreliable for these patients.
  • A study was conducted with patients from the DSP-ERADOS registry to track the occurrence of sustained ventricular arrhythmia (VA) over time, using a detailed statistical analysis to create a new clinical prediction tool.
  • The research identified five key clinical factors that can help predict the risk of developing sustained VA, resulting in a new DSP risk score that demonstrated strong prediction capabilities in both the initial and external testing groups.
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encodes for the Popeye domain-containing protein 2 which has an important role in cardiac pacemaking and conduction, due in part to its cAMP-dependent binding and regulation of TREK-1 potassium channels. Loss of in mice results in sinus pauses and bradycardia and morpholino knockdown of zebrafish results in atrioventricular (AV) block. We identified bi-allelic variants in in 4 families that presented with a phenotypic spectrum consisting of sinus node dysfunction, AV conduction defects and hypertrophic cardiomyopathy.

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Background: While late gadolinium enhancement (LGE) is proposed as a diagnostic criterion for arrhythmogenic right ventricular cardiomyopathy (ARVC), the potential of LGE to distinguish ARVC from differentials remains unknown. We aimed to assess the diagnostic value of LGE for ARVC diagnosis.

Methods: We included 132 subjects (60% male, 47 ± 11 years) who had undergone cardiac magnetic resonance imaging with LGE assessment for ARVC or ARVC differentials.

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  • * The study finds that a history of nonsustained ventricular tachycardia is a strong predictor of future VA occurrences, although traditional risk factors such as age and male sex do not show a significant association with VA events.
  • * The ARVC risk calculator, which is intended to evaluate the risk of VA, performs inadequately in this patient population, highlighting the need for a more tailored, gene-specific risk
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  • The study aimed to explore the prevalence of transthyretin amyloidosis variant cardiomyopathy (ATTRv-CM) among relatives at risk, assess the effectiveness of repeated evaluations, and analyze first-line diagnostic methods like ECG and echocardiogram.
  • Among 159 relatives evaluated, 25% were diagnosed with ATTRv-CM, and half of those diagnosed exhibited heart failure symptoms, showcasing a high negative predictive value for screening based on specific criteria.
  • The findings emphasize the need for ongoing monitoring, as 13% of patients with ATTRv-CM showed no initial cardiac signs, suggesting regular follow-up testing is crucial for early detection and management.
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Background: Vascular Ehlers-Danlos syndrome (vEDS) is a rare connective tissue disorder with a high risk for arterial, bowel, and uterine rupture, caused by heterozygous pathogenic variants in . The aim of this cohort study is to provide further insights into the natural history of vEDS and describe genotype-phenotype correlations in a Dutch multicenter cohort to optimize patient care and increase awareness of the disease.

Methods: Individuals with vEDS throughout the Netherlands were included.

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Aims: Recently, a genetic variant-specific prediction model for phospholamban (PLN) p.(Arg14del)-positive individuals was developed to predict individual major ventricular arrhythmia (VA) risk to support decision-making for primary prevention implantable cardioverter defibrillator (ICD) implantation. This model predicts major VA risk from baseline data, but iterative evaluation of major VA risk may be warranted considering that the risk factors for major VA are progressive.

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Background: Phospholamban (PLN) p.(Arg14del) variant carriers are at risk for development of malignant ventricular arrhythmia (MVA). Accurate risk stratification allows timely implantation of intracardiac defibrillators and is currently performed with a multimodality prediction model.

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Background And Aims: Implantable cardioverter-defibrillators (ICDs) are critical for preventing sudden cardiac death (SCD) in arrhythmogenic right ventricular cardiomyopathy (ARVC). This study aims to identify cross-continental differences in utilization of primary prevention ICDs and survival free from sustained ventricular arrhythmia (VA) in ARVC.

Methods: This was a retrospective analysis of ARVC patients without prior VA enrolled in clinical registries from 11 countries throughout Europe and North America.

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Background: Congenital heart diseases (CHD) are the most common congenital malformations in newborns and remain the leading cause of mortality among infants under one year old. Molecular diagnosis is crucial to evaluate the recurrence risk and to address future prenatal diagnosis. Here, we describe two families with various forms of inherited non-syndromic CHD and the genetic work-up and resultant findings.

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  • Inherited forms of arrhythmogenic and dilated cardiomyopathy (ACM and DCM) exhibit varying symptoms and risk levels depending on age, with calcium regulation being a key factor in these heart conditions.
  • A specific genetic change, c.286T>G p.(Ser96Ala), linked to serious arrhythmias in DCM patients, was examined for its impact on different cardiomyopathy groups, including those with a known pathogenic variant.
  • The study found no significant differences in allele frequency between the general population and those with cardiomyopathy, indicating the p.(Ser96Ala) polymorphism does not modify disease severity or risk, suggesting the need for further research into reliable genetic markers for these heart conditions
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  • Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic heart condition that mainly causes irregular heartbeats and is a leading cause of sudden cardiac death, particularly in athletes.
  • There is no definitive treatment for ARVC yet, so the main prevention method currently is the use of implantable cardioverter defibrillators to manage risks.
  • Recent advances in research have led to the creation of a risk calculator that estimates the likelihood of arrhythmias in ARVC patients over five years, and this article reviews how this tool can be effectively used in patient care.
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  • Scientists are now doing more genomic testing, which is checking our genes to see if we have or could get certain diseases.
  • They created a new database called CardiacG2P that helps understand how certain genes can cause heart diseases and makes it easier to find important gene changes.
  • By using this new database, they can better focus on the changes that really matter, making the process of testing for heart-related issues faster and more accurate.
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The rare genetic alteration PLN-c.(40_42delAGA), leading to the deletion of arginine 14 (p.R14del) in phospholamban, is associated with dilated and arrhythmogenic cardiomyopathies occurring in early-adulthood.

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Background: Dilated cardiomyopathy (DCM) is a life-threatening heart disease and a common cause of heart failure due to systolic dysfunction and subsequent left or biventricular dilatation. A significant number of cases have a genetic etiology; however, as a complex disease, the exact genetic risk factors are largely unknown, and many patients remain without a molecular diagnosis.

Methods: We performed GWAS followed by whole-genome, transcriptome, and immunohistochemical analyses in a spontaneously occurring canine model of DCM.

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