Castrichini, Matteo

Background: Pathogenic/likely pathogenic (P/LP) variants in the RBM20-encoded RNA-binding protein motif 20 splicing factor result in a penetrant form of arrhythmogenic/dilated cardiomyopathy (ACM/DCM) characterized by ventricular arrhythmias (VA) and early-onset heart failure. The role of cardiac magnetic resonance (CMR) imaging in characterizing RBM20 cardiomyopathy and guiding risk stratification remains inadequately defined. Objectives: To characterize CMR phenotypes in patients with RBM20 cardiomyopathy and explore associations between variant type, CMR phenotype, and VA risk. Methods: Retrospective analysis of 1,061 genotype-positive ACM/DCM patients was used to identify individuals with P/LP arginine/serine-rich domain-localizing missense (RBM20msv) or truncating (RBM20tv) variants in RBM20. Clinical outcomes, including major VA (MVA; sudden cardiac arrest, sustained ventricular arrhythmia, or appropriate ICD therapy) events, were compared between RBM20msv and RBM20tv-positive patients. When available, CMR findings were also analyzed by variant type and correlated with MVA events. Results: Overall, 64 of 1,061 (6%) ACM/DCM patients possessed an RBM20msv or RBM20tv. Of those, 35 (mean age 38±16 years, 54% female, 94% Caucasian) underwent CMR. Late gadolinium enhancement (LGE) was present in 9/35 (26%), typically in a mid-myocardial septal or inferolateral pattern. Left ventricular (LV) noncompaction was noted in 9/35 (26%). Within the CMR subgroup, RBM20msv accounted for 29/35 (83%) of cases, while RBM20tv was observed in 6/35 (17%). No significant difference in LV ejection fraction (36±7% vs. 42±13%, p=0.358), LV end-diastolic volume index (100±32 mL/m2 vs. 118±44 mL/m2, p=0.342), or LGE prevalence (1/6 [17%] vs. 8/29 [28%], p=1.000) was observed between RBM20tv- and RBM20msv-positive patients. However, MVA events were more frequent among RBM20tv-positive patients in the CMR subset (3/6 [50%] vs. 2/29 [7%], p=0.026) and the overall cohort (7/15 [47%] vs. 6/49 [12%], p=0.008). Conclusions: RBM20tv-positive patients experienced a higher rate of MVA events despite similar rates of LGE and structural remodeling compared to those with RBM20msv. Future studies are needed to determine whether mechanisms independent of fibrosis/re-entry drive arrhythmogenesis in RBM20tv-positive patients and to establish if RBM20tv represents an independent risk factor for MVA events that merits incorporation into genotype-specific risk stratification strategies.

Background: Arrhythmogenic and dilated cardiomyopathies (ACM/DCM) are associated with adverse cardiovascular outcomes, including sudden death. Artificial intelligence (AI)-enabled electrocardiographic aging algorithms estimate biological age from 12-lead tracings and predict cardiovascular outcomes in the general population. However, their utility in genetic ACM/DCM has not been studied. Methods: Retrospective review of 1,045 genotype-positive ACM/DCM patients was used to identify those with a pathogenic/likely pathogenic variant in ClinGen-classified definitive/strong evidence ACM/DCM-susceptibility genes. Following exclusion of patients without a baseline ECG for analysis (e.g. paced rhythms), the AI-ECG age gap (AI-EAG) was calculated by subtracting chronological from AI-ECG age. Genes were grouped into functional categories: desmosomal ( PKP2, DSP, DSG2, DSC2, JUP ), nuclear envelope ( LMNA ), sarcomeric ( TTN, MYH7, TNNT2 ), cytoskeleton/Z-disc ( FLNC, DES, DMD, BAG3 ), and regulatory/ion channel ( PLN, RBM20, SCN5A ). Cardiac MRI data included left ventricular structure, function, and late gadolinium enhancement (LGE) presence and pattern. Mann-Whitney U was used for group comparisons; results are shown as median (IQR). Results: Overall, 824 patients (52.8% male; median age of 40.7 years, IQR 26.5–53.4; and median AI-EAG of 7.49 years, IQR 0.43–15.26) were included. DES variant-positive patients had the highest (19.98 years, IQR 9.66–23.21) and BAG3 variant-positive patients the lowest (–0.95 years, IQR -6.05–7.61) AI-EAGs. Among gene groups, nuclear envelope had the highest (15.12 years, IQR 6.79–25.17) and sarcomeric the lowest (5.75 years, IQR -0.69-14.01) AI-EAGs. Cardiac MRI was available for 538/824 (65%) of which 233/538 (43.3%) had LGE. No significant difference in AI-EAG was observed between LGE-positive and -negative patients (6.99 vs. 7.94 years; p=0.831). However, several LGE patterns were associated with significantly higher AI-EAGs: subepicardial (9.88 vs. 6.84; p=0.004), transmural (13.83 vs. 7.25; p=0.012), apical (12.89 vs. 7.17; p=0.002), and septal (8.91 vs. 7.19; p=0.016). Conclusion: AI-EAG varies by gene and functional group, possibly reflecting gene-specific myocardial remodeling. While certain LGE patterns were linked to increased biological aging, overall LGE status was not. These findings suggest AI-EAG may capture disease activity that is distinct from LGE and could serve as a complementary, non-invasive biomarker in genetic ACM/DCM.

Background: Ventricular tachycardia (VT) is a life-threatening arrhythmia frequently observed in structural heart diseases, including LMNA-related cardiomyopathy, a genetic disorder associated with high risk of sudden cardiac death and progressive systolic dysfunction. While catheter ablation is an established therapeutic option for VT, its efficacy in cardiac laminopathy remains poorly defined. Objectives: To synthesize available evidence on the role and outcomes of VT ablation in patients with cardiac laminopathy. Methods: A systematic review and single-arm meta-analysis was performed in accordance with PRISMA guidelines. PubMed, Embase, and Cochrane databases were searched for studies reporting VT ablation outcomes in LMNA-related cardiomyopathy. An inverse variance random-effects model was applied for meta-analysis of proportions. Results: Seven studies (six cohorts, one abstract) comprising 62 patients (mean age 53.2 ± 9.7 years; 85% male; 88% with implantable cardioverter-defibrillator) were included. An endocardial/endo-epicardial approach was used in 93% of cases. Acute procedural success was achieved in 37% (95% CI: 14–63%; I 2 = 27.4%), and 28% required multiple procedures. Over a median follow-up of 26 (9–35) months, VT recurrence occurred in 91% (95% CI: 76–100%; I 2 = 37.2%). All-cause mortality was 54% (95% CI: 39–70%; I 2 = 28%), predominantly from cardiac causes (51%, 95% CI: 25–76%; I 2 = 53%), and 14% (95% CI: 1–34%; I 2 = 42%) underwent heart transplantation. Conclusions: In LMNA-related cardiomyopathy, catheter ablation is associated with high VT recurrence, limited long-term success, and substantial cardiovascular mortality and transplantation rates, underscoring the importance of ICD implantation and the need for alternative strategies, including variant-specific and molecularly targeted therapies.

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.

ABSTRACTPlatelets are small, anucleate particles derived from bone marrow megakaryocytes that circulate in the blood and are central to hemostasis, atherothrombosis, and post‐angioplasty coronary restenosis. Initially thought to involve a simple process of platelet adhesion, activation, and aggregation, recent insights reveal an important interplay with genetics and other organ systems, especially in the setting of antiplatelet drug therapy. Interaction involving the hepatic cytochrome P450 enzymes, which regulate drug metabolism, and genetic variation in those enzymes affecting drug response, underscores the liver's role in modulating platelet function by attenuating circulating active drug metabolites with eventual cardiovascular implications. Circulating adhesive proteins such as von Willebrand Factor and fibronectin also significantly regulate platelet aggregation, a process that is further influenced by varying shear conditions within the vascular system. The efficacy of antiplatelet therapies can be attenuated by such individual genetic variation, which can affect multiple cellular pathways involved not only in drug metabolism and clearance but also the drug target itself. Identifying these genetic differences allows for tailored therapy, enhancing treatment outcomes and minimizing adverse effects. Genetic variation, particularly in the CYP2C19 gene, influences individual responses to the most commonly used antiplatelet drug other than aspirin, clopidogrel, with certain variants leading to reduced drug metabolism and antiplatelet effects. Therefore, genotype‐guided antiplatelet therapy has emerged as a promising approach to reduce ischemic events and minimize bleeding events. This personalized strategy requires an understanding of genetic variation, drug‐gene interaction, and the liver's role in impacting platelet function, the coagulation system, and cardiovascular systems.

Acute right ventricular failure (ARVF) is commonly seen in the intensive care unit and constitutes a significant clinical challenge, with associated high in-hospital mortality. Recently, the treatment of ARVF has significantly changed, with the progressive implementation of mechanical circulatory support devices that now represent important tools for clinicians in treating this condition. However, despite recent advancements, the optimal approach for ARVF remains elusive, and precise treatment algorithms and comprehensive management protocols are still lacking. In the present review, we explore the pathophysiology of ARVF, highlighting the different mechanisms that may lead to this clinical entity and emphasizing the left and right heart’s complex interplay. We analyze the different therapeutic options that are now available for short- and long-term management of ARVF, with a particular focus on the advantages and disadvantages of the mechanical circulatory support devices actually used. Furthermore, we propose future directions in the field and a possible flowchart for the treatment of this condition.

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: Patients with normal resting left ventricular ejection fraction (LVEF) without either coronary artery disease (CAD) or a hypertensive response can paradoxically develop reduced LVEF during exercise stress echocardiography (ESE). The clinical phenotype and outcomes of these patients is unknown. Hypothesis: Patients who paradoxically develop reduced LVEF during exercise may represent a sub-phenotype of heart failure with preserved LVEF (HFpEF). Aims: To describe the baseline characteristics and clinical outcomes of this unique patient population. Methods: Among all ESE performed between January 2003 and December 2022, patients without a hypertensive response to exercise and without CAD by angiogram within 90 days of ESE, who had a resting LVEF ≥50% with a ≥5% LVEF decrease during ESE were identified. All-cause mortality, HF hospitalization, and atrial fibrillation (AF) outcomes were assessed. Kaplan-Meier and Cox regression methods were used to analyze time-to-event outcomes. Results: Among 213,643 stress echocardiograms performed, 134 patients met eligibility criteria (Table 1). The mean age of the population was 66±10 years, 76% were women, and 16% had AF at baseline. Mean LVEF was 58±4% at rest and 43±4% at peak stress. Stress electrocardiogram met criteria for ischemia in 14%. The 10-year all-cause mortality risk was 12.9% (95% CI 5.5-20.3) with 10 (37%) of 27 deaths due to cancer (Figure 1, Panel A). The 10-year estimated risk of HF hospitalization was 17.6% (95% CI 9.0-26.2) (Figure 1, Panel B). Among 112 patients without AF at baseline, the 10-year risk of developing AF was 23.4% (95% CI 13.4-33.4). Conclusions: Patients with exercise-induced reduced LVEF in the absence of obstructive CAD have a high incidence of HF hospitalizations and AF. Given the preponderance of women, risk for AF, HF hospitalizations, and cancer-related deaths, the possibility that this condition is an early sub-phenotype of HFpEF should be investigated.

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.

Background: Electrocardiography-based artificial intelligence (AI-ECG) validated models that detect cardiac disease are increasingly being applied in clinical practice. The utility of such tools to detect insidious cardiac disease in patients with normal baseline left ventricular ejection fraction (LVEF) who paradoxically develop reduced LVEF during exercise stress echocardiography (ESE), and do not have coronary artery disease (CAD) or hypertension, is unknown. Hypothesis: AI-ECG is useful to diagnose insidious cardiac disease and predict clinical outcomes in patients with exercise-induced cardiomyopathy. Aims: To assess the utility of AI ECG in patients with exercise-induced cardiomyopathy. Methods: Among all ESE performed between January 2003 and December 2022, patients without a hypertensive response to exercise and without CAD (confirmed by coronary angiography within 90 days after ESE), with resting LVEF ≥50% and a paradoxical ≥5% LVEF decrease during ESE were identified. A previously validated AI-ECG algorithm that predicts atrial fibrillation (AF), reduced LVEF, and cardiac amyloidosis (CA) was applied to the baseline ECG closest to the time of ESE. The predicted probability of AF, reduced LVEF, and CA if above the published thresholds, was determined. Results: There were 134 patients with exercise-induced cardiomyopathy who were identified. The mean age of this cohort was 66±10 years, 76% were women and 16% had AF at baseline. Mean LVEF was 58±4% at rest and 43±4% at peak stress. The median follow-up period was 6.8 years (IQR 3.0-12.2). Among patients without a baseline history of AF (n=112), AI-ECG identified 29% with a significant probability of AF, which was associated with a subsequent AF diagnosis at univariable analysis (HR 2.505, 95%CI 1.016-6.177, p=0.046). There were 10 patients with an AI-ECG prediction of reduced LVEF among whom 3 were subsequently hospitalized with HF. AI-ECG was positive for CA in 8 and 3 amongst these had subsequent HF hospitalizations (Table). Conclusions: Baseline AI-ECG may help predict subsequent AF and diagnose preclinical amyloid cardiomyopathy in patients who by resting echocardiography do not seem to have cardiac disease but with exercise develop reduced LVEF.