BACKGROUND:Drug development and disease prevention of heart failure (HF) and atrial fibrillation (AF) are impeded by a lack of robust early-stage surrogates. We determined to what extent cardiac magnetic resonance (CMR) measurements act as surrogates for the development of HF or AF. METHODS:Genetic data were sourced on the association with 21 atrial and ventricular CMR measurements. Mendelian randomization was used to determine CMR associations with AF, HF, non-ischaemic cardiomyopathy (NICM), and dilated cardiomyopathy (DCM), noting that the definition of NICM includes DCM as a subset. Additionally, for the CMR surrogates of AF and HF, we explored their association with non-cardiac traits potentially influenced by cardiac disease liability. RESULTS:In total we find that 7 CMR measures (biventricular ejection fraction (EF) and end-systolic volume (ESV), as well as LV systolic volume (SV), end-diastolic volume (EDV), and mass to volume ratio (MVR)) associate with the development of HF, 5 with the development of NICM (biventricular EDV and ESV, LV-EF), 7 with DCM (biventricular EF, ESV, EDV, and LV end-diastolic mass (EDM), and 3 associate with AF (LV-ESV, RV-EF, RV-ESV). Higher EF of both ventricles associate with lower risk of HF and DCM, with biventricular ESV associating with all four cardiac outcomes. Higher values of biventricular EDV associate with lower risk of HF, and DCM. Exploring the associations of these CMR cardiac disease surrogates with non-cardiac traits confirms a strong link with diastolic blood pressure, as well as more specific associations with lung function (LV-ESV), HbA1c (LV-EDM), and type 2 diabetes (LV-SV). CONCLUSIONS:The current paper identifies key CMR measurements that may act as surrogate endpoints for the development of HF (including NICM and DCM) or AF.

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. ARVC was diagnosed as per 2010 Task Force Criteria (n = 55). ARVC differentials consisted of familial/genetic dilated cardiomyopathy (n = 25), myocarditis (n = 13), sarcoidosis (n = 20), and amyloidosis (n = 19). The diagnosis of all differentials was based on the most current standard of reference. The presence of LGE was evaluated using a 7-segment right ventricle (RV) and 17-segment left ventricle (LV) model. Subsequently, we assessed LGE patterns for every patient individually for fulfilling LV- and/or RV-LGE per Padua criteria, independent of their clinical diagnosis (i.e. phenotype). Diagnostic values were analyzed using sensitivity and specificity for any RV-LGE, any LV-LGE, RV-LGE per Padua criteria, and prevalence graphs for LV-LGE per Padua criteria. The optimal integration of LGE for ARVC diagnosis was determined using classification and regression tree analysis. Results: One-third (38%) of ARVC patients had RV-LGE, while half (51%) had LV-LGE. RV-LGE was less frequently observed in ARVC vs non-ARVC patients (38% vs 58%, p = 0.034) leading to a poor discriminatory potential (any RV-LGE: sensitivity 38%, specificity 42%; RV-LGE per Padua criteria: sensitivity 36%, specificity 44%). Compared to ARVC patients, non-ARVC patients more often had LV-LGE (91% vs 51%, p < 0.001) which was also more globally distributed (median 9 [interquartile range (IQR): 3-13] vs 0 [IQR: 0-3] segments, p < 0.001). The absence of anteroseptal and absence of extensive (>= 5 segments) mid-myocardial LV-LGE, and absence of moderate (>= 2 segments) mid-myocardial LV-LGE predicted ARVC with good diagnostic performance (sensitivity 93%, specificity 78%). Conclusion: LGE is often present in ARVC differentials and may lead to false positive diagnoses when used without knowledge of LGE patterns. Moderate RV-LGE without anteroseptal and mid-myocardial LV-LGE is typically observed in ARVC.

A healthy young woman, age 26 without prior cardiac complications, experienced an out-of-hospital cardiac arrest caused by ventricular fibrillation (VF), which coincided with a fever. Comprehensive diagnostics including echo, CMR, exercise testing, and genetic sequencing, did not identify any potential cause. This led to the diagnosis of idiopathic VF and installment of an implantable cardioverter defibrillator, which six months later appropriately intervened another VF episode under conditions comparable to the first event. A second diagnostic opinion concluded short-coupled Torsade de Pointes (scTdP), and the patient was started on a verapamil treatment. From this patient, human induced pluripotent stem cell cardiomyocyte (hiPSC-CM) lines were generated to study cellular electrophysiology. Without a known genetic pathogenic variation, no isogenic control line could be produced, therefore a healthy age- and sex-matched control hiPSC-CM line was used. Cellular electrophysiology was studied in these cardiomyocytes using calcium- and voltage sensitive fluorescent dyes and measurements were carried out at 37 °C and 39 °C, to mimic the condition of hyperthermia in the patient. mRNA expression of electrophysiologically relevant genes were analyzed to identify a potential underlying mechanism. Calcium transients measured in patient lines at a physiological temperature indicated the occurrence of early after transients (EATs). Strikingly, at 39 °C the incidence of EATs further increased. Membrane potential data from the patient also revealed shorter action potentials that, combined with the EATs, indicate the premature release of calcium during diastole, which could be responsible for the extrasystoles in the patient. Gene expression profiles were mainly downregulated in the patient but could not clearly aid in unraveling a mechanism behind the occurrence of EATs. Pharmacological screening was performed to evaluate the treatment regimen and to determine a mechanism of action of the EATs. While verapamil, dantrolene, and flecainide did not decrease the incidence of EATs, calcium handling parameters were affected indicating functionality of the drugs. This patient-specific case of electrophysiological phenotyping resulted in a hypothesis of the possible mechanism behind the scTdP arrhythmias, but also accentuates the applicability of patient-specific hiPSC-CM disease modeling and phenotyping.

Abstract Background Despite an extensive diagnostic work-up, the underlying diagnosis leading to ventricular fibrillation (VF) remains elusive in patients with idiopathic VF. Emerging diagnostic techniques can be used to discover previously unidentified abnormalities in these patients. Purpose The purpose of this study was to investigate the potential of cardiac magnetic resonance feature tracking (CMR-FT) to discover structural abnormalities in idiopathic VF patients. Methods Cine CMR images of idiopathic VF patients and age and sex matched controls were analyzed. Left ventricle global circumferential strain (GCS), global longitudinal strain (GLS) and global radial strain (GRS) were determined using Circle Cardiovascular Imaging. Student’s t-test was used to compare means. Results In total, 26 idiopathic VF patients (mean age 37 (±13) years, 62% male) and 26 controls (mean age 38 (±13) years) were included. CMR was performed in idiopathic VF patients at a median of 9 [IQR 3 – 15] days after the index event. Left ventricle ejection fraction was 55 ± 6% for idiopathic VF patients, 59 ± 6% for controls, p = 0.04. GCS and GRS were comparable for idiopathic VF patients and controls (-17.36 ± 1.78% vs. -18.04 ± 1.83%, p = 0.182 and 28.28 ± 4.63 vs. 29.29 ± 5.09, p = 0.438, respectively). GLS was lower for idiopathic VF patients compared with controls (-14.85 ± 3.21% vs. -18.44 ± 2.11%, p < 0.001). Conclusion CMR-FT GLS distinguished idiopathic VF patients from controls and could imply subclinical abnormalities in idiopathic VF patients. Future studies with a larger cohort should reveal if this finding can be correlated with an arrhythmic substrate.

Quantification of cardiac motion with cine Cardiac Magnetic Resonance Imaging (CMRI) is an integral part of arrhythmogenic right ventricular cardiomyopathy (ARVC) diagnosis. Yet, the expert evaluation of motion abnormalities with CMRI is a challenging task. To automatically assess cardiac motion, we register CMRIs from different time points of the cardiac cycle using Implicit Neural Representations (INRs) and perform a biomechanically informed regularization inspired by the myocardial incompressibility assumption. To enhance the registration performance, our method first rectifies the inter-slice misalignment inherent to CMRI by performing a rigid registration guided by the long-axis views, and then increases the through-plane resolution using an unsupervised deep learning super-resolution approach. Finally, we propose to synergically combine information from short-axis and 4-chamber long-axis views, along with an initialization to incorporate information from multiple cardiac time points. Thereafter, to quantify cardiac motion, we calculate global and segmental strain over a cardiac cycle and compute the peak strain. The evaluation of the method is performed on a dataset of cine CMRI scans from 47 ARVC patients and 67 controls. Our results show that inter-slice alignment and generation of super-resolved volumes combined with joint analysis of the two cardiac views, notably improves registration performance. Furthermore, the proposed initialization yields more physiologically plausible registrations. The significant differences in the peak strain, discerned between the ARVC patients and healthy controls suggest that automated motion quantification methods may assist in diagnosis and provide further understanding of disease-specific alterations of cardiac motion.

Dysfunction of either the right or left ventricle can lead to heart failure (HF) and subsequent morbidity and mortality. We performed a genome-wide association study (GWAS) of 16 cardiac magnetic resonance (CMR) imaging measurements of biventricular function and structure. Cis- Mendelian randomization (MR) was used to identify plasma proteins associating with CMR traits as well as with any of the following cardiac outcomes: HF, non-ischemic cardiomyopathy, dilated cardiomyopathy (DCM), atrial fibrillation, or coronary heart disease. In total, 33 plasma proteins were prioritized, including repurposing candidates for DCM and/or HF: IL18R (providing indirect evidence for IL18), I17RA, GPC5, LAMC2, PA2GA, CD33, and SLAF7. In addition, 13 of the 25 druggable proteins (52%; 95% confidence interval, 0.31 to 0.72) could be mapped to compounds with known oncological indications or side effects. These findings provide leads to facilitate drug development for cardiac disease and suggest that cardiotoxicities of several cancer treatments might represent mechanism-based adverse effects.

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited cardiomyopathy characterized by life-threatening ventricular arrhythmias as one of the first disease presentations. Although no cure exists for ARVC, early treatment with an ICD can be life-saving. Early diagnosis and adequate risk-stratification is the corner stone of improving the prognosis in these patients. New cardiac MRI (CMR) methods can play an important role in detecting early signs of disease expression. This thesis primarily focuses on the improvement of early diagnosis and risk stratification of ARVC patients and their relatives using three advanced CMR techniques: 1) Feature Tracking CMR (FT-CMR) for the quantification of wall motion abnormalities; 2) T1-mapping for the quantification of scar tissue; 3) Machine learning to automatize segmentations necessary to calculate function and volume on CMR. To learn more about early disease expression in ARVC, we assessed the association of CMR traits and rare and common genetic variants in the general population. Also, by using advanced techniques and combing this with CMR data we aimed to find potential drug targets for cardiomyopathies. Using three new CMR techniques we show hopeful results regarding early diagnostics and risk stratification. For example, wall motion in the subtricuspid region measured using FT-CMR can already be abnormal in asymptomatic relatives. Furthermore, we show that pathogenic variants associated with cardiomyopathies are not uncommon in the general population, however disease penetrance remains low. We also found common genetic variants associated with left and right ventricular function by performing a genome wide association study. Using drug target mendelian randomization we were able to uncover potential drug targets for cardiomyopathies. For clinical implementation of these results, it is important to assess the additional value of these new CMR techniques and the genetic variants associated with function and volume, in current diagnostic and prognostic risk models.

Background drug development and disease prevention of heart failure (HF) and atrial fibrillation (AF) are impeded by a lack of robust early-stage surrogates. We determined to what extent cardiac magnetic resonance (CMR) measurements act as surrogates for the development of HF or AF in healthy individuals. Methods Genetic data was sourced on the association with 22 atrial and ventricular CMR measurements. Mendelian randomization was used to determine CMR associations with atrial fibrillation (AF), heart failure (HF), non-ischemic cardiomyopathy (CMP), and dilated cardiomyopathy (DCM). Additionally, for the CMR surrogates of AF and HF, we explored their association with non-cardiac traits. Results In total we found that 9 CMR measures were associated with the development of HF, 7 with development of non-ischemic CMR, 6 with DCM, and 12 with AF. biventricular ejection fraction (EF), biventricular or end-systolic volumes (ESV) and left-ventricular (LV) end diastolic volume (EDV) were associated with all 4 cardiac outcomes. Increased LV-MVR (mass to volume ratio) affected HF (odds ratio (OR) 0.83, 95%CI 0.79; 0.88), and DCM (OR 0.26, 95%CI 0.20; 0.34. We were able to identify 9 CMR surrogates for HF and/or AF (including LV-MVR, biventricular EDV, ESV, and right-ventricular EF) which associated with non-cardiac traits such as blood pressure, lung function traits, BMI, cardioembolic stroke, and late-onset Alzheimer’s disease. Conclusion CMR measurements may act as surrogate endpoints for the development of HF (including non-ischemic CMP and DCM) or AF. Additionally, we show that changes in cardiac function and structure measured through CMR, may affect diseases of other organs leading to lung disease or late-onset Alzheimer’s disease.

New diagnostic criteria have been proposed for arrhythmogenic right ventricular cardiomyopathy (ARVC). These proposed "Padua criteria" include late gadolinium enhancement (LGE) on cardiac magnetic resonance for the left ventricle (LV) and right ventricle (RV). Yet, the potential of LGE to distinguish ARVC from differential diagnoses remains unknown.

Arrhythmogenic cardiomyopathy (ACM) is a progressive inheritable disease which is characterized by a gradual fibro-(fatty) replacement of the myocardium. Visualization of diffuse and patchy fibrosis patterns is challenging using clinically applied cardiac imaging modalities (e.g., late gadolinium enhancement, LGE). During collagen synthesis and breakdown, carboxy–peptides are released into the bloodstream, specifically procollagen type-I carboxy-terminal propeptides (PICP) and collagen type-I carboxy-terminal telopeptides (ICTP). We collected the serum and EDTA blood samples and clinical data of 45 ACM patients (age 50.11 ± 15.53 years, 44% female), divided into 35 diagnosed ACM patients with a 2010 ARVC Task Force Criteria score (TFC) ≥ 4, and 10 preclinical variant carriers with a TFC < 4. PICP levels were measured using an enzyme-linked immune sorbent assay and ICTP levels with a radio immunoassay. Increased PICP/ICTP ratios suggest a higher collagen deposition. We found significantly higher PICP and PICP/ICTP levels in diagnosed patients compared to preclinical variant carriers (p < 0.036 and p < 0.027). A moderate negative correlation existed between right ventricular ejection fractions (RVEF) and the PICP/ICTP ratio (r = −0.46, p = 0.06). In addition, significant correlations with left ventricular function (LVEF r = −0.53, p = 0.03 and end-systolic volume r = 0.63, p = 0.02) were found. These findings indicate impaired contractile performance due to pro-fibrotic remodeling. Follow-up studies including a larger number of patients should be performed to substantiate our findings and the validity of those levels as potential promising biomarkers in ACM.

Abstract Aims Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a progressive inherited cardiac disease. Early detection of disease and risk stratification remain challenging due to heterogeneous phenotypic expression. The standard configuration of the 12 lead electrocardiogram (ECG) might be insensitive to identify subtle ECG abnormalities. We hypothesized that body surface potential mapping (BSPM) may be more sensitive to detect subtle ECG abnormalities. Methods and results We obtained 67 electrode BSPM in plakophilin-2 (PKP2)-pathogenic variant carriers and control subjects. Subject-specific computed tomography/magnetic resonance imaging based models of the heart/torso and electrode positions were created. Cardiac activation and recovery patterns were visualized with QRS- and STT-isopotential map series on subject-specific geometries to relate QRS-/STT-patterns to cardiac anatomy and electrode positions. To detect early signs of functional/structural heart disease, we also obtained right ventricular (RV) echocardiographic deformation imaging. Body surface potential mapping was obtained in 25 controls and 42 PKP2-pathogenic variant carriers. We identified five distinct abnormal QRS-patterns and four distinct abnormal STT-patterns in the isopotential map series of 31/42 variant carriers. Of these 31 variant carriers, 17 showed no depolarization or repolarization abnormalities in the 12 lead ECG. Of the 19 pre-clinical variant carriers, 12 had normal RV-deformation patterns, while 7/12 showed abnormal QRS- and/or STT-patterns. Conclusion Assessing depolarization and repolarization by BSPM may help in the quest for early detection of disease in variant carriers since abnormal QRS- and/or STT-patterns were found in variant carriers with a normal 12 lead ECG. Because electrical abnormalities were observed in subjects with normal RV-deformation patterns, we hypothesize that electrical abnormalities develop prior to functional/structural abnormalities in ARVC.

Background: Pathogenic and likely pathogenic variants associated with arrhythmogenic right ventricular cardiomyopathy (ARVC), dilated cardiomyopathy (DCM), and hypertrophic cardiomyopathy (HCM) are recommended to be reported as secondary findings in genome sequencing studies. This provides opportunities for early diagnosis, but also fuels uncertainty in variant carriers (G+), since disease penetrance is incomplete. We assessed the prevalence and disease expression of G+ in the general population. Methods: We identified pathogenic and likely pathogenic variants associated with ARVC, DCM and/or HCM in 200 643 UK Biobank individuals, who underwent whole exome sequencing. We calculated the prevalence of G+ and analyzed the frequency of cardiomyopathy/heart failure diagnosis. In undiagnosed individuals, we analyzed early signs of disease expression using available electrocardiography and cardiac magnetic resonance imaging data. Results: We found a prevalence of 1:578, 1:251, and 1:149 for pathogenic and likely pathogenic variants associated with ARVC, DCM and HCM respectively. Compared with controls, cardiovascular mortality was higher in DCM G+ (odds ratio 1.67 [95% CI 1.04; 2.59], P =0.030), but similar in ARVC and HCM G+ ( P ≥0.100). Cardiomyopathy or heart failure diagnosis were more frequent in DCM G+ (odds ratio 3.66 [95% CI 2.24; 5.81], P =4.9×10 −7 ) and HCM G+ (odds ratio 3.03 [95% CI 1.98; 4.56], P =5.8×10 −7 ), but comparable in ARVC G+ ( P =0.172). In contrast, ARVC G+ had more ventricular arrhythmias ( P =3.3×10 −4 ). In undiagnosed individuals, left ventricular ejection fraction was reduced in DCM G+ ( P =0.009). Conclusions: In the general population, pathogenic and likely pathogenic variants associated with ARVC, DCM, or HCM are not uncommon. Although G+ have increased mortality and morbidity, disease penetrance in these carriers from the general population remains low (1.2–3.1%). Follow-up decisions in case of incidental findings should not be based solely on a variant, but on multiple factors, including family history and disease expression.

AIMS:Arrhythmogenic right ventricular cardiomyopathy (ARVC) patients have an increased risk of ventricular arrhythmias (VA). Four implantable cardioverter-defibrillator (ICD) recommendation algorithms are available The International Task Force Consensus ('ITFC'), an ITFC modification by Orgeron et al. ('mITFC'), the AHA/HRS/ACC guideline for VA management ('AHA'), and the HRS expert consensus statement ('HRS'). This study aims to validate and compare the performance of these algorithms in ARVC. METHODS AND RESULTS:We classified 617 definite ARVC patients (38.5 ± 15.1 years, 52.4% male, 39.2% prior sustained VA) according to four algorithms. Clinical performance was evaluated by sensitivity, specificity, ROC-analysis, and decision curve analysis for any sustained VA and for fast VA (>250 b.p.m.). During 6.4 [2.8-11.5] years follow-up, 282 (45.7%) patients experienced any sustained VA, and 63 (10.2%) fast VA. For any sustained VA, ITFC and mITFC provide higher sensitivity than AHA and HRS (94.0-97.8% vs. 76.7-83.5%), but lower specificity (15.9-32.0% vs. 42.7%-60.1%). Similarly, for fast VA, ITFC and mITFC provide higher sensitivity than AHA and HRS (95.2-97.1% vs. 76.7-78.4%) but lower specificity (42.7-43.1 vs. 76.7-78.4%). Decision curve analysis showed ITFC and mITFC to be superior for a 5-year sustained VA risk ICD indication threshold between 5-25% or 2-9% for fast VA. CONCLUSION:The ITFC and mITFC provide the highest protection rates, whereas AHA and HRS decrease unnecessary ICD placements. ITFC or mITFC should be used if we consider the 5-year threshold for ICD indication to lie within 5-25% for sustained VA or 2-9% for fast VA. These data will inform decision-making for ICD placement in ARVC.

Background: Pathogenic variants in phospholamban (PLN, like p. Arg14del), are found in patients diagnosed with arrhythmogenic (ACM) and dilated cardiomyopathy (DCM). Fibrosis formation in the heart is one of the hallmarks in PLN p.Arg14del carriers. During collagen synthesis and breakdown, propeptides are released into the circulation, such as procollagen type I carboxy-terminal propeptide (PICP) and C-terminal telopeptide collagen type I (ICTP).Aim: To investigate if PICP/ICTP levels in blood are correlative biomarkers for clinical disease severity and outcome in PLN p.Arg14del variant carriers.Methods: Serum and EDTA blood samples were collected from 72 PLN p.Arg14del carriers (age 50.5 years, 63% female) diagnosed with ACM (n = 12), DCM (n = 14), and preclinical variant carriers (n = 46). PICP levels were measured with an enzyme-linked immune sorbent assay and ICTP with a radio immuno-assay. Increased PICP/ICTP ratios suggest a higher collagen deposition. Clinical data including electrocardiographic, and imaging results were adjudicated from medical records.Results: No correlation between PICP/ICTP ratios and late gadolinium enhancement (LGE) was found. Moderate correlations were found between the PICP/ICTP ratio and end-diastolic/systolic volume (both r(s) = 0.40, n = 23, p = 0.06). PICP/ICTP ratio was significantly higher in patients with T wave inversion (TWI), especially in leads V4-V6, II, III, and aVF (p < 0.022) and in patients with premature ventricular contractions (PVCs) during an exercise tolerance test (p = 0.007).Conclusion: High PICP/ICTP ratios correlated with clinical parameters, such as TWI and PVCs. Given the limited size and heterogeneity of the patient group, additional studies are required to substantiate the incremental prognostic value of these fibrosis biomarkers in PLN p.Arg14del patients.

In arrhythmogenic cardiomyopathy (ACM) pathogenic variants are found in genes encoding desmosomal proteins and in non-desmosomal genes, such as phospholamban (PLN, p.Arg14del variant). Previous research showed that plakoglobin protein levels and localization in the cardiac tissue of ACM patients, and PLN p.Arg14del patients diagnosed with an ACM phenotype, are disturbed. Moreover, the effects of pathogenic variants in desmosomal genes are reflected in non-cardiac tissues like buccal mucosa cells (BMC) which could serve as a promising new and non-invasive tool to support diagnosis. We collected the BMC of 33 ACM patients, 17 PLN p.Arg14del patients and 34 controls, labelled the BMC with anti-plakoglobin antibodies at different concentrations, and scored their membrane labelling. We found that plakoglobin protein levels were significantly reduced in BMC obtained from diagnosed ACM patients and preclinical variant carriers when compared to controls. This effect was independent from age and sex. Moderate to strong correlations were found with the revised 2010 Task Force Criteria score which is commonly used for ACM diagnosis (rs = −0.67, n = 64, p < 0.0001 and rs = −0.71, n = 64, p < 0.0001). In contrast, plakoglobin scores in PLN p.Arg14del patients were comparable to controls (p > 0.209), which suggests differences in underlying etiology. However, for the individual diagnosis of the ‘classical’ ACM patient, this method might not be discriminative enough to distinguish true patients from variant carriers and controls, because of the high interindividual variability.

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The Netherlands Cardio Vascular Research Initiative (CVON): the Dutch Heart Foundation, Dutch Federation of University Medical Center, the Netherlands Organization for Health Re-search and Development and the Royal Netherlands Academy of Sciences Introduction Sudden cardiac death (SCD) is one of the severe manifestations in carriers with a phospholamban (PLN p.Arg14del) cardiomyopathy. Prediction whether a patient with this pathogenic variant will be at risk for SCD is difficult. PLN has an important role in cardiac calcium homeostasis as regulator of the sarcoplasmic reticulum (SR) Ca2+-ATPase (SERCA). It has been shown that the p.Arg14del pathogenic variant leads to Ca2+ overload in cardiomyocytes. Recently, it was found that dilated cardiomyopathy (DCM) patients who have a polymorphism in histidine-rich calcium binding protein (HRC Ser96Ala, rs3745297), displayed an increased risk for malignant arrhythmias and SCD. HRC resides within the SR, where it acts as a regulator of Ca2+ homeostasis. This Ser96Ala gene variant is widespread, as 60% of the general population bears at least one copy of this allele. Objective To explore the effect of the HRC Ser96Ala polymorphism on ventricular arrhythmias and disease expression in PLN p.Arg14del pathogenic variant carriers. Methods 337 p.Arg14del patients were included into the study; divided into wildtype (WT) (n=134, 24 index patients), heterozygous for Ser96Ala variant (n=142, 30 index patients) and homozygous for Ser96Ala variant (n=61, 11 index patients). The study was conducted according to the Declaration of Helsinki. Blood samples were genotyped on the Infinium® Global Screening Array-24 v3.0. Clinical data were subtracted from health records. Results In total 23% of PLN variant carriers were diagnosed with DCM while 11% of the variant carriers were diagnosed with arrhythmogenic cardiomyopathy. A significant difference in age of presentation (p=0.019) of p.Arg14del patients diagnosed with a DCM phenotype was found in homozygous HRC variant carriers (median 43 years, [36-47.3], n=8) compared to WT (median 49 years, [41-56.8], n=24) and heterozygous variant carriers (median 58.5 years, [51-66.5], n=22). No significant differences between the 3 groups were detected in manifestations of premature ventricular contractions (n=188, p=0.203), non-sustained ventricular tachycardia (n=248, p=0.314) and appropriate ICD shocks (n=308, p=0.901). Conclusion Although a significant difference in disease onset was found in PLN p.Arg14del patients with DCM who were homozygous for the HRC polymorphism, no correlations with arrhythmogenic parameters were found between patients with and without the HRC polymorphism. Therefore, we conclude that presence of the HRC polymorphism is not a discriminative predictor for arrhythmogenic events in PLN p.Arg14del.

AIMS:Arrhythmogenic right ventricular cardiomyopathy (ARVC) is characterized by ventricular dysfunction and ventricular arrhythmias (VA). Adequate arrhythmic risk assessment is important to prevent sudden cardiac death. We aimed to study the incremental value of strain by feature-tracking cardiac magnetic resonance imaging (FT-CMR) in predicting sustained VA in ARVC patients. METHODS AND RESULTS:CMR images of 132 ARVC patients (43% male, 40.6 ± 16.0 years) without prior VA were analysed for global and regional right and left ventricular (RV, LV) strain. Primary outcome was sustained VA during follow-up. We performed multivariable regression assessing strain, in combination with (i) RV ejection fraction (EF); (ii) LVEF; and (iii) the ARVC risk calculator. False discovery rate adjusted P-values were given to correct for multiple comparisons and c-statistics were calculated for each model. During 4.3 (2.0-7.9) years of follow-up, 19% of patients experienced sustained VA. Compared to patients without VA, those with VA had significantly reduced RV longitudinal (P ≤ 0.03) and LV circumferential (P ≤ 0.04) strain. In addition, patients with VA had significantly reduced biventricular EF (P ≤ 0.02). After correcting for RVEF, LVEF, and the ARVC risk calculator separately in multivariable analysis, both RV and LV strain lost their significance [hazard ratio 1.03-1.18, P > 0.05]. Likewise, while strain improved the c-statistic in combination with RVEF, LVEF, and the ARVC risk calculator separately, this did not reach statistical significance (P ≥ 0.18). CONCLUSION:Both RV longitudinal and LV circumferential strain are reduced in ARVC patients with sustained VA during follow-up. However, strain does not have incremental value over RVEF, LVEF, and the ARVC VA risk calculator.

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is diagnosed according to the Task Force Criteria (TFC) in which cardiovascular magnetic resonance (CMR) imaging plays an important role. Our study aims to apply an automatic deep learning-based segmentation for right and left ventricular CMR assessment and evaluate this approach for classification of the CMR TFC. We included 227 subjects suspected of ARVC who underwent CMR. Subjects were classified into (1) ARVC patients fulfilling TFC; (2) at-risk family members; and (3) controls. To perform automatic segmentation, a Bayesian Dilated Residual Neural Network was trained and tested. Performance of automatic versus manual segmentation was assessed using Dice-coefficient and Hausdorff distance. Since automatic segmentation is most challenging in basal slices, manual correction of the automatic segmentation in the most basal slice was simulated (automatic−basal). CMR TFC calculated using manual and automatic−basal segmentation were compared using Cohen’s Kappa (κ). Automatic segmentation was trained on CMRs of 70 subjects (39.6 ± 18.1 years, 47

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): Netherlands Cardio Vascular Research Initiative (CVON): the Dutch heart foundation Background Mutations in phospholamban (PLN, most often PLNR14Del), a protein that regulates Ca2+ homeostasis in cardiomyocytes, are found in patients diagnosed with arrhythmogenic (ACM) and dilated cardiomyopathy (DCM). Fibrosis formation in the heart is one of the hallmarks in PLN patients, which compromises cardiac contractility and predisposes to arrhythmogenicity. Collagen type I is the most abundant type of collagen in the heart (85%). During continuous collagen synthesis propeptides, like procollagen type I carboxy-terminal propeptide (PICP) and during collagen breakdown, C-terminal telopeptide collagen type I (ICTP), are released into the circulation. Clinically, detection of fibrosis occurs via echo or MRI, however difficulties arise when patchy fibrosis has to be detected. Purpose To investigate if PICP and ICTP levels in blood are useful predictive biomarkers for clinical outcome in PLN patients. Methods 78 serum and EDTA blood samples were collected on the same day from ACM diagnosed (n = 12), DCM diagnosed (n = 14) or non-classified (n = 52) PLN patients. PICP levels were measured with an ELISA assay and ICTP with a RIA. Clinical data were subtracted two years around blood collection from Redcap, a Dutch database with medical records from PLN patients. Data were not normally distributed, so Spearman’s correlation coefficient and Mann-Whitney test were used. Results Gender, age and PICP/ICTP ratios were similarly distributed between the subgroups. First, we checked if clinical data subtracted two years around blood collection provided reliable results regarding clinical outcome. Patients who underwent clinical testing 5.5 weeks around blood collection revealed that clinical data were in line with the best-fitted line of the linear regression and therefore provide reliable results. Next, the potential correlation of fibrosis biomarkers with electrical parameters was assessed. Increased PICP/ICTP ratios suggest a higher collagen deposition. Although there was no correlation with prolonged QRS duration (Rs 0.13, n = 62, ns), subgroup analysis showed a significant weak correlation for non-classified patients (Rs 0.32, n = 38, p = 0.05). No significant correlation was found for ACM or DCM patients; however, groups were rather small. PICP/ICTP ratio was significantly higher in patients with T wave inversion and premature ventricular contractions (PVCs) during an exercise tolerance test. A weak inverted correlation was found with left ventricular ejection fraction and PICP/ICTP (Rs -0.28, n = 23, ns), while moderate correlations between the ratio and end diastolic volume, and end systolic volume exist (both Rs 0.40, n = 23, p = 0.06). Conclusion High PICP/ICTP ratios correlate with clinical outcome in PLN patients, such as T wave inversion and PVCs. However, the size and heterogeneity of the patient group resulted in weak to moderate correlation coefficients and might therefore currently precludes to use PICP and ICTP levels as biomarker.

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): Netherlands Cardio Vascular Research Initiative (CVON): the Dutch heart foundation Background Arrhythmogenic cardiomyopathy (ACM) is predominantly caused by mutations in genes encoding desmosomal proteins (most often multiple different mutations in plakophilin-2), however also mutations in non-desmosomal proteins like phospholamban (PLN, PLNR14Del) are found. Previous investigations showed that plakoglobin protein levels and localization in cardiac tissue of ACM patients is disturbed and this could be a valuable additional tool to discriminate between non-affected family members and those being at risk during progression of the disease. Information about cardiac plakoglobin status can only be obtained via endocardial biopsies, however, this technique has major draw-backs and risks, and therefore an alternative is needed. A promising new non-invasive tool is the use of buccal mucosa cells (BMC), as it has been reported that effects of mutations in desmosomal proteins are additionally reflected in non-cardiac tissues like buccal mucosa smears that do also express those desmosomal genes. Purpose To investigate the clinical usability of BMC as tool to classify patients at risk of developing ACM by comparing healthy controls with asymptomatic and symptomatic classical ACM patients, and patients carrying a PLNR14Del mutation. Methods and results BMC of 84 human subjects, 33 ACM patients (19 males, 28 with a PKP2 mutation), 17 PLN patients (6 males) and 34 healthy controls (14 males), were collected on glass slides, fixed and labelled with anti-plakoglobin antibodies diluted 1:5.000, 1:10.000, 1:20.000 and 1:40.000, and scored for their membrane labelling. Data revealed that for each applied dilution, plakoglobin protein levels at the membrane were significantly reduced in BMC obtained from ACM patients compared to healthy controls. This effect appeared independent from age and sex of the patients. Furthermore, dilutions 1:5.000 and 1:10.000 showed a moderate correlation with the revised 2010 Task Force Criteria Score (TFC) which are commonly used for ACM diagnosis (Rs -0.67, n = 64, p <0.0001 and Rs -0.71, n = 64, p < 0.0001 resp.) In contrast, plakoglobin scores of PLN patients were similar to controls. Conclusion On the population level, there is a significant reduction of plakoglobin protein in BMC membranes of ACM patients but not for patients bearing the PLNR14Del mutation when compared to healthy controls. However, for clinical diagnosis of the individual patient, this method is most likely not discriminative enough to distinguish patients from healthy controls, because of the high interindividual variability.