Citations

Background Disease‐causative variants in LMNA ‐encoded lamin A/C cause a genetic cardiomyopathy characterized by atrioventricular block, atrial fibrillation, ventricular arrhythmias, and systolic dysfunction. The influence of LMNA variant type/localization on late gadolinium enhancement (LGE) patterns and clinical outcomes remains unclear. Methods Retrospective analysis of 822 genotype‐positive patients with arrhythmogenic/dilated cardiomyopathy was used to identify those with disease‐causative variants in LMNA . Data on LGE distribution and prevalence of advanced heart failure, thromboembolic and sudden cardiac death/major ventricular arrhythmia events were extracted from the electronic record and analyzed by variant type/localization. Results Among the 72/116 (62%) LMNA variant‐positive patients with cardiac magnetic resonance imaging data, LGE was observed in 40/72 (56%) cases. Most exhibited a nonischemic, midmyocardial or subepicardial pattern (73%), and 6/40 (15%) showed a unique “pseudo‐infarct” transmural pattern, predominantly affecting the apical segments. All 6 patients with this distinct LGE pattern harbored C‐terminal IgD (immunoglobulin‐like domain) variants (p.Arg471His or p.Arg541His). In patients with clinically manifest disease (76/116), those with IgD‐localizing variants had a lower prevalence of atrioventricular block (25% versus 72%, P =0.002) and atrial fibrillation (50% versus 81%, P =0.019) but higher rates of thromboembolic events (42% versus 16%, P =0.038). During a median follow‐up of 37 months, IgD variant presence independently predicted sudden cardiac death/major ventricular arrhythmia (hazard ratio, 2.391 [95% CI, 1.046–5.464]; P =0.039). Conclusions LMNA missense variants localizing to IgD present a distinct apical pseudo‐infarct LGE pattern associated with increased risk of ventricular arrhythmias and thromboembolic events but reduced atrioventricular block and atrial fibrillation. Multicenter studies are warranted to develop variant‐specific risk‐stratification strategies in cardiac laminopathy.

Abstract Background and Aims Truncating variants in the TTN gene (TTNtv) are the most common genetic cause of dilated cardiomyopathy (DCM) but also occur as incidental findings in the general population. This study investigated factors associated with the clinical manifestation of TTNtv. Methods An international multicentre retrospective observational study was performed in families with TTNtv-related DCM. Shared frailty models were used to estimate associations of variant characteristics with lifetime risk of DCM, and logistic regression to estimate odds ratios (ORs) for individual-level clinical risk factor profiles (cardiac conditions, cardiovascular comorbidities, lifestyle) and DCM. Results A total of 3158 subjects in 1043 families with TTNtv-related DCM were studied. TTNtv-positive subjects were 21-fold more likely to develop DCM [OR, 21.21; 95% confidence interval (CI), 14.80–30.39]. Disease onset was earlier in males, but was similar for TTNtv of different types and locations. The presence of clinical risk factors was associated with earlier DCM onset (OR, 3.41; 95% CI, 2.06–5.64), with a prior history of atrial fibrillation having a two-fold increased odds of DCM (OR, 2.05; 95% CI, 1.27–3.32). The prevalence of clinical risk factors increased with age; however, the strength of the DCM association was greatest for young-onset (<30 years) disease (OR, 4.75; 95% CI, 2.35–9.60). Administration of beta-adrenergic receptor or renin-angiotensin system-blocking drugs prior to overt DCM was associated with 87% reduced odds of DCM (OR, .13; 95% CI, .08–.23). Conclusions Disease onset in TTNtv-associated familial DCM is dependent on individual patient context and is potentially modifiable by risk factor management and prophylactic therapeutic intervention.

ABSTRACT Background Mitral annular disjunction (MAD) carries an increased risk of complex ventricular arrhythmias, which can lead to sudden cardiac death. Many of these patients undergo implantable cardioverter defibrillator (ICD) implantation, but their ICD outcomes are not known. Objective The aim of this study was to assess the outcomes of ICD implantation and the predictors of appropriate ICD therapies in patients with MAD. Methods The study included patients with MAD who underwent ICD implantation. Clinical, electrocardiographic, cardiac imaging, and device therapy data were collected. Results Forty‐nine patients with MAD and ICD were included. Median age was 49 (21) years, and 29 (59%) were female. 13 (27%) patients underwent ICD implantation for primary prevention and 36 (73%) patients for secondary prevention. Over a median follow‐up of 27.3 (35.3) months, 23 (47%) patients received ICD therapies. 18 (37%) patients had appropriate ICD therapies, and 5 (10%) patients had inappropriate ICD shocks. Median time to first appropriate therapy was 22.3 (63.3) months. In patients with a secondary prevention ICD indication, the rate of appropriate ICD therapies was 44%, while in patients with a primary prevention ICD indication, it was 15%. Among patients with appropriate ICD therapies, the first therapies were delivered for monomorphic ventricular tachycardia (VT) in 7 (39%) patients and polymorphic VT or ventricular fibrillation (VF) in 11 (61%) patients. Patients with appropriate ICD therapies were more likely to have a history of SCA ( p = 0.003) and/or low left ventricular ejection fraction (LVEF) ( p = 0.022) before ICD implantation as compared to patients without appropriate ICD therapies. Conclusions In our cohort of patients with MAD and ICD, appropriate ICD therapies were common. Most appropriate ICD therapies were delivered for polymorphic VT or VF. Larger studies are needed to elucidate the mechanisms of VAs and refine risk stratification in MAD.

BACKGROUND: Patients with arrhythmogenic mitral valve prolapse syndrome are at increased risk for life-threatening ventricular arrhythmias, but studies have been limited by small sample sizes. We sought to assemble an international arrhythmogenic mitral valve prolapse syndrome registry to delineate the clinical, imaging, and treatment characteristics of patients with arrhythmogenic mitral valve prolapse syndrome who survived sudden cardiac arrest (SCA) or had sustained ventricular tachycardia (VT) or ventricular fibrillation. METHODS: In this descriptive registry, we characterized patients with arrhythmogenic mitral valve prolapse syndrome who survived SCA, sustained VT, or ventricular fibrillation. Deidentified data were abstracted locally and combined centrally. RESULTS: We included 148 patients who had SCA or VT/ventricular fibrillation. Patients had a mean age of 43.7±15.4 years; 68% were women, 73% had bileaflet prolapse, 65% had mitral annular disjunction, 67% had nonsustained VT, and 59% had inferolateral T-wave inversions. Syncope (n=54, 48%) and anterolateral T-wave inversion (n=26, 22%) were relatively common. Catheter ablation was performed in 50 (35%) patients for premature ventricular complexes and in 18 (17.7%) patients for VT. Sites of origin for arrhythmias were commonly in the papillary muscles, fascicles, mitral annulus, and inferior/inferolateral left ventricle. CONCLUSIONS: In this international descriptive registry of patients with arrhythmogenic mitral valve prolapse syndrome and SCA, patients were young, women, and had bileaflet mitral valve prolapse, mitral annular disjunction, inferolateral T-wave inversions, and nonsustained VT. A history of syncope and anterolateral T-wave inversions was relatively common in patients who survived SCA or sustained VT/ventricular fibrillation.

Background: Current guidelines discourage athletes with a positive genetic test for arrhythmogenic cardiomyopathy (ACM) from participating in sports. The evidence that exercise may act as a disease-accelerator is most compelling for PKP2-mediated ACM. As such, shared decision making (SDM) and return-to-play (RTP) for athletes with ACM may be possible for some genotypes. Objective: To examine the management, RTP, outcomes, and evolution of phenotype among athletes with genotype positive ACM. Methods: A retrospective review of the electronic medical records was performed on all self-identified athletes with genotype positive ACM. They were evaluated, risk stratified, and treated in Mayo Clinic’s (MC) Windland Smith Rice Genetic Heart Rhythm Clinic. Results: Among the 621 patients with genotype-positive ACM, there were 38 athletes [16 females (42%); mean age at either clinical diagnosis or positive genetic test 28 ± 19 years; mean follow-up 4 ± 4 years] participating in sports at all levels. The majority, 21 (55%), had PKP2-ACM and 7 (18%) had DSP-ACM. Prior to their first MC evaluation, 15 athletes (39%) were engaged in long distance running, swimming, cycling, or triathlons. Seven athletes (18%) had a non-lethal breakthrough cardiac event (BCE) after diagnosis, but prior to MC evaluation. During 150+ athlete-years of follow-up, there have been no ACM-associated deaths, but 5 athletes (13%) experienced a non-lethal BCE. Twenty-two athletes (58%) were phenotype negative at time of first MC evaluation including 10 endurance athletes (45%). Of these, 3 (14%) converted to phenotype positive (average age at conversion 25 ± 15 years), while 7/16 (44%) phenotype positive athletes exhibited further disease progression (average age at progression 32 ± 18 years). For these 10 athletes who either converted or progressed, treatment intensification included an ablation in 4, ICD in 2, and a heart transplant in 2. Seven resumed athletic activity in some capacity after conversion/progression and a non-lethal BCE occurred in 3. Conclusions: This is the first single center cohort of patients with ACM being empowered to remain an athlete. In contrast to athletes with other genetic heart diseases (GHDs), these athletes have exhibited more cardiac events, although nonfatal, and higher rates of disease conversion/progression than our other GHDs. Further studies are needed to determine how to effectively and safely enable appropriate sports participation in genetically-mediated ACM

Background: LQTS is a genetic heart disease associated with an increased risk of sudden death. Despite advances in genetic testing, a small subset of patients still lacks identifiable genetic markers. Consequently, the true prevalence and clinical phenotype of genotype negative remains to be determined. Objective: To determine the prevalence and clinical characteristics of patients with a clinical diagnosis of LQTS but a negative genetic test. Methods: A retrospective review was conducted on patients evaluated and treated at a tertiary hospital between 2000 and 2024, focusing on those with a clinical diagnosis of LQTS, but a negative genetic test for all LQTS-associated genes, with available follow-up of at least 1 year. Results: After exclusion for follow-up and lack of genetic testing, the study cohort consisted of 1834 patients with LQTS including 1708 (93%) with a (likely) pathogenic (LP/P), LQTS-causative variant. Also, in 95 patients (5%), their variant of uncertain significance was clinically upgraded to a LP/P-variant, leaving only 31 patients classified as phenotype positive but genotype negative (1.6%). Of these, 16/31 underwent next-generation genetic sequencing, revealing the genetic cause in 6/16 cases (37%; 0.3% of all patients). For the remaining 25 genotype negative LQTS patients (1.3%), the mean age at diagnosis was 26 ± 15 years, with 19 (76%) being female, and an average initial QTc of 497 ± 41 ms. In total, 11 patients (44%) experienced a cardiac event before diagnosis [1 sudden cardiac arrest (SCA), 1 Torsades, 1 VT, 8 syncopes] and 1 patient had his first cardiac event during follow-up; 7/12 patients had more than one subsequent event. Twenty patients were proband (80%) and 6 had a family history of SCA. Eleven patients received an ICD (44%), left cardiac sympathetic denervation was performed in 4 (16%), and 2 patients experienced arrhythmia-related deaths (8%). The mean follow-up since diagnosis was 7 ± 5 years. Conclusion: With a prevalence of genotype-negative LQTS of 2%, the number of these patients is much lower than previously suggested, underscoring the advancements in identifying new genetic markers and the role of phenotype-enhanced variant adjudication and next-generation sequencing. Additionally, significant disease severity was observed in the remaining patients, emphasizing the pivotal role of genotype-phenotype correlations and risk stratification in managing and counseling patients lacking identified LQTS-causing mutations.

Background: Many medications, electrolyte perturbations, and several diseases can prolong the QTc beyond its 99 th percentile value resulting in acquired QT prolongation (AQTP). In contrast, approximately 1 in 2,000 people have congenital long QT syndrome (LQTS) hallmarked by pathological QT prolongation. Recently, we developed an AI-ECG model to distinguish these two groups, however this model does not elucidate which ECG segments distinguish LQTS from AQTP. Methods: Using the cohort from our previous study, all patients with LQTS evaluated in the Mayo Clinic Genetic Heart Rhythm Clinic and controls were included. Next, every patient/control with ≥1 ECG above age- and sex-specific 99 th percentile for QTc was selected and matched at 1:100 ratio. Subsequently, 5 ML algorithms (logistic regression, Naïve Bayes, random forest, Gradient boosting and XGBoost) were trained using 52 features representing segments of the 12-lead ECG (e.g. wave peak times, amplitudes, areas under wave, duration; 52x12 features). Training and testing sets were spilt at 80:20 ratio and 5-fold cross validation was performed to prevent overfitting. Following analysis, the top 100 features were re-analyzed to refine results. Results: Among >1,600 patients with LQTS, 690 had ≥ 1 ECG with a QTc above the established threshold compared to 28,186 controls. Following age- and sex-matching and splitting, 22,410 (training), and 5,776 (testing) ECGs were used. Of the 5 ML algorithms, XGBoost demonstrated best performance (AUC 0.913, accuracy 0.836, sensitivity 0.857, specificity 0.835) to distinguish LQTS from AQTP. Following filtering for the top 100 features, performance of the algorithm remained high with AUC of 0.912 (accuracy 0.84, sensitivity 0.841, specificity 0.84). The features with the greatest impact on classification output included time from T wave onset to T wave peak (leads V1, V4, V4), QRS interval duration (leads V1, V3, V4, aVR), and amplitude at end of ST segment (aVF). Conclusions: Distinguishing monogenetically driven LQTS from multi-factorial AQTP is critical in clinical practice for proper management, mitigation of offending QT-prolonging factors, and treatment. Building on our previously developed AI-ECG-LQTS ‘mutation detector’, this model identifies some of the elements within the ‘black box’ that distinguish an ECG and QTc stemming from a patient with LQTS compared to a similar prolonged QTc value that is arising due to non-genetic, acquired QT-prolonging factors.

Background: Arrhythmogenic cardiomyopathy (ACM) is a genetic heart disease characterized by proclivity for ventricular arrhythmias and systolic dysfunction. Rarely, sudden cardiac arrest (SCA) is the presenting event in ACM. These individuals may have concealed disease with no appreciable structural manifestations on imaging. Aims: To determine the prevalence, clinical features, and outcomes of patients with genotype-positive ACM who presented with a sentinel SCA. Methods: In this retrospective study, 445 genotype-positive ACM patients evaluated from 1/2015-4/2024 were analyzed to identify those whose initial presentation was SCA. Pertinent demographic, clinical, genetic, and outcome data were extracted from the electronic medical record. Structural manifestations were defined by having one of the following on baseline TTE: EF < 50%, LVEDV >56 mL (male) or >51 mL (female), or regional RV akinesia, dyskinesia, or aneurysm. Categorical variables are presented as number (%), and continuous variables as median (IQR). Statistical analysis was done using Fisher’s exact test (categorical), t-test (continuous), and Logrank test (survival). Patients were censored at time of transplant, death, or last followup. Results: Overall, 14/445 (3%) ACM patients presented with sentinel SCA [71% male; median age at SCA 39 (IQR 30-46)]. The most common genetic substrates were DSP -encoded desmoplakin (n=4; 29%), LMNA -encoded lamin A/C (n=3; 21%), and PKP2 -encoded plakophilin-2 (n=3; 21%). During a median followup of 8.4 years, 12 (86%) experienced appropriate ICD shocks, 8 (57%) required catheter ablation for ventricular arrhythmias, 6 (42%) underwent transplant, and 2 (14%) died of cardiac causes. Notably, 5 (35%) patients did not have evidence of structural disease during baseline evaluation. Compared to those with structural disease, this group was younger [median age 28 (IQR 21-29) vs 45 (IQR 41-48), p = 0.002] and less likely to undergo transplant [0 (0%) vs 6 (42%), p = 0.03]. Conclusions: Sentinel SCA is a rare presentation in ACM and may precede overt structural cardiac changes in a subset of younger patients. This population remains at increased risk for recurrent ventricular arrhythmias and often require advanced therapies.

Background: Although exercise stress testing (EST) has shown to unmask latent electrical substrates in PKP2 -mediated arrhythmogenic cardiomyopathy (ACM), the prognostic role of EST-induced ventricular arrhythmia (VA) patterns in PKP2-ACM patients is unclear. Objective: To examine the exercise-induced VA patterns observed during EST in PKP2-ACM patients and explore their correlation with major VA outcomes. Methods: We retrospectively analyzed 621 patients with either genotype-positive ACM or genotype-positive dilated cardiomyopathy evaluated between 01/2015 and 04/2024 to identify those with a disease-causative variant in PKP2 (N = 108). After exclusion of 38 PKP2-ACM patients without EST data, demographic and electrocardiographic data was extracted from the electronic medical record. The arrhythmic burden [premature ventricular contractions (PVCs), PVCs in bigeminy, PVC couplets, non-sustained VT (NSVT), sustained VT, ventricular fibrillation (VF), and PVCs/minute] during each EST phase (baseline, peak, active and passive recovery) were reviewed and correlated with major VA outcomes [sudden cardiac arrest (SCA), sustained VT, and appropriate implantable cardioverter-defibrillator (ICD) shocks]. Results: A total of 186 exercise tests from 70/108 (65%) PKP2-ACM patients (mean age 36 ± 20 years, 40 % male) were analyzed. The presence and burden of PVCs occurring singly, bigeminy, couplets. and NSVT were more prevalent during the recovery phase, specifically the passive recovery phase ( Table ). PKP2-ACM patients with structural disease (64%) were more likely to have an increased VA burden during recovery than those without structural disease [28/45 (62%) vs 4/25 (16%); p<0.001]. Interestingly, the presence of an increased arrhythmic burden (worsening PVCs/min or complex PVCs) during the recovery was associated with major VA over a median follow-up of 47 months (HR 8.576 [1.015-72.449]; p= 0.019). Conclusion: Increased arrhythmic burden during the recovery phase (late > early) is associated with an increased risk of major VAs in PKP2-ACM. Further studies are needed to understand if this observation extends to other ACM genotypes and whether EST-induced VA patterns can be used to assess therapeutic efficacy in PKP2-ACM.