Literature DB >> 28588093

Implantable Cardioverter-Defibrillator Therapy in Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy: Predictors of Appropriate Therapy, Outcomes, and Complications.

Gabriela M Orgeron1, Cynthia A James1, Anneline Te Riele1, Crystal Tichnell1, Brittney Murray1, Aditya Bhonsale1, Ihab R Kamel2, Stephan L Zimmerman2, Daniel P Judge1, Jane Crosson1, Harikrishna Tandri1, Hugh Calkins3.   

Abstract

BACKGROUND: Arrhythmogenic right ventricular dysplasia/cardiomyopathy is characterized by ventricular arrhythmias and sudden cardiac death. Once the diagnosis is established, risk stratification to determine whether implantable cardioverter-defibrillator (ICD) placement is warranted is critical. METHODS AND
RESULTS: The cohort included 312 patients (163 men, age at presentation 33.6±13.9 years) with definite arrhythmogenic right ventricular dysplasia/cardiomyopathy who received an ICD. Over 8.8±7.33 years, 186 participants (60%) had appropriate ICD therapy and 58 (19%) had an intervention for ventricular fibrillation/flutter. Ventricular tachycardia at presentation (hazard ratio [HR]: 1.86; 95% confidence interval [CI], 1.38-2.49; P<0.001), inducibility on electrophysiology study (HR: 3.14; 95% CI, 1.95-5.05; P<0.001), male sex (HR: 1.62; 95% CI, 1.20-2.19; P=0.001), inverted T waves in ≥3 precordial leads (HR: 1.66; 95% CI, 1.09-2.52; P=0.018), and premature ventricular contraction count ≥1000/24 hours (HR: 2.30; 95% CI, 1.32-4.00; P=0.003) were predictors of any appropriate ICD therapy. Inducibility at electrophysiology study (HR: 2.28; 95% CI, 1.10-4.70; P=0.025) remained as the only predictor after multivariable analysis. The predictors for ventricular fibrillation/flutter were premature ventricular contraction ≥1000/24 hours (HR: 4.39; 95% CI, 1.32-14.61; P=0.016), syncope (HR: 1.85; 95% CI, 1.10-3.11; P=0.021), aged ≤30 years at presentation (HR: 1.76; 95% CI, 1.04-3.00; P<0.036), and male sex (HR: 1.73; 95% CI, 1.01-2.97; P=0.046). Younger age at presentation (HR: 3.14; 95% CI, 1.32-7.48; P=0.010) and high premature ventricular contraction burden (HR: 4.43; 95% CI, 1.35-14.57; P<0.014) remained as independent predictors of ventricular fibrillation/flutter. Complications occurred in 66 participants (21%), and 64 (21%) had inappropriate ICD interventions. Overall mortality was low at 2%, and 4% underwent heart transplantation.
CONCLUSION: These findings represent an important step in identifying predictors of ICD therapy for potentially fatal ventricular fibrillation/flutter and should be considered when developing a risk stratification model for arrhythmogenic right ventricular dysplasia/cardiomyopathy.
© 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Entities:  

Keywords:  arrhythmogenic right ventricular cardiomyopathy/dysplasia; implantable cardioverter defibrillator; sudden cardiac death; tachyarrhythmias; ventricular fibrillation

Mesh:

Year:  2017        PMID: 28588093      PMCID: PMC5669204          DOI: 10.1161/JAHA.117.006242

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

This study reports the outcomes of the largest series of patients with arrhythmogenic ARVD/C to undergo ICD implantation. Among the 312 patients with ARVD/C, 186 (60%) received an appropriate ICD therapy and 58 (19%) received potentially lifesaving ICD therapy for ventricular fibrillation/flutter. Variables identified as markers of high risk for ventricular fibrillation/flutter include a high burden of premature ventricular contractions, history of syncope, younger age at presentation, and male sex. Variables identified as predictors of first appropriate ICD therapy were a history of ventricular tachycardia at presentation, inducibility at electrophysiology study, male sex, ≥3 T‐wave inversions in precordial leads, and a high burden of premature ventricular contractions.

What Are the Clinical Implications?

The high rate of appropriate ICD therapy for ventricular fibrillation/flutter is an important reminder of the lethal nature of ARVD/C and the importance of risk stratification for ICD placement. The risk markers identified in this study should ultimately guide clinicians in their recommendation for ICD implantation in patients with arrhythmogenic ARVD/C.

Introduction

Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C) is an inherited cardiomyopathy characterized pathologically by myocyte loss with fibrofatty replacement and clinically by an increased risk of sustained ventricular arrhythmias and sudden cardiac death (SCD). Once the diagnosis of ARVD/C is established, a critical decision is whether a particular patient's SCD risk is sufficiently elevated to justify placement of an implantable cardioverter‐defibrillator (ICD).1 This decision is particularly important because these are often young patients who are expected to live for many years with a device that that is associated with both short‐ and long‐term complications.2 The purpose of this study was to expand the body of knowledge concerning the outcomes of ICD therapy in patients with ARVD/C. Although a number of prior studies have reported outcomes of ICD therapy in patients with ARVD/C, these studies were limited by small sample size, the use of the 1994 task force diagnostic criteria,3 the inclusion of patients who did not fully meet diagnostic criteria for ARVD/C, and the lack of genetic testing as a standard part of the diagnostic evaluation. Furthermore, the primary end point in many of these studies was the prediction of appropriate ICD therapy, including both sustained ventricular tachycardia (VT) and ventricular fibrillation/ventricular flutter (VF/VFL). In designing this study, we sought to overcome many of these limitations. This study had 4 primary objectives. The first objective was to describe, in detail, the clinical characteristics and outcomes of a large series of ARVD/C patients who underwent ICD implantation. The second objective was to identify clinical and electrophysiological factors that best identified ARVD/C patients who experienced appropriate ICD therapy. We were particularly interested in better defining the risk factors for VF/VFL. The third objective was to report the complications associated with ICD implantation. And our fourth and final objective was to describe the long‐term outcomes of this cohort of ARVD/C patients, each of whom had undergone placement of an ICD.

Methods

Patient Population and Follow‐up

The Johns Hopkins ARVD/C program (ARVD.com) was established in 1999 to provide clinical care for patients with ARVD/C and to provide new knowledge concerning this disease. The Johns Hopkins ARVD/C Registry prospectively follows patients and at‐risk family members. All those in the registry who had a definite diagnosis of ARVD/C based on the 2010 task force criteria (TFC),4 who had implantation of an ICD to prevent sudden death, and who were followed for at least 30 days after ICD implantation were included in the study. All participants gave written informed consent to participate in this study, which was approved by the Johns Hopkins School of Medicine institutional review board. Detailed clinical information regarding demographics, symptoms, 12‐lead ECG findings, and the results of 24‐hour Holter monitoring was reviewed. In addition, information regarding ICD therapies and arrhythmia occurrence was obtained for each patient. Magnetic resonance imaging reports were obtained, and images were reviewed for structural abnormalities to determine the severity and extent of right and left ventricular dysfunction. Programmed ventricular stimulation was performed on a case‐by‐case basis for clinical reasons, as determined by each patient's clinical electrophysiologist. An electrophysiological study (EPS) was considered positive if a sustained VTVT or VF that lasted ≥30 seconds or that required termination due to hemodynamic compromise—was induced, independently of the use of isoproterenol. Device interrogations and stored electrograms were obtained from referring institutions and individual patients throughout the duration of follow‐up.

ICDs and Classification of Discharges

All patients received multifunctional third‐ or fourth‐generation transvenous ICDs, with the exception of 7 patients who had a subcutaneous ICD implanted. Decisions regarding ICD implantation and programming of these devices were made by the managing cardiologist and/or electrophysiologist. Stored intracardiac electrograms were analyzed to classify arrhythmias responsible for precipitating defibrillator discharges, according to following definitions.5 VF or VFL was defined as an irregular or regular tachycardia with a mean cycle length (CL) of ≤240 ms. VT was defined as a regular tachycardia arising from the ventricle with a CL >240 and <600 ms. First appropriate ICD intervention was defined as an ICD therapy for VT/VF. An inappropriate intervention was defined as a device discharge for supraventricular tachycardia (ie, sinus tachycardia, atrial fibrillation, atrial flutter) or oversensing due to electrical noise. Data on device interrogation were available for 120 of the 186 patients included in this series. Electrogram documentation of an appropriate therapy was available in 73 of these patients. When complete ICD interrogation information was not available, ICD interrogation interpretation by the outside referring electrophysiologist was used to classify arrhythmic events. The available electrograms were reviewed by 2 electrophysiologists who are part of the Johns Hopkins ARVD/C program and members of the study team who collaboratively determined the final adjudication. In case of disagreements between our adjudication and that of the local electrophysiologist, we used the read done by our study team.

Definitions

Syncope was defined as a transient loss of consciousness and postural tone with spontaneous recovery. A proband is an affected individual ascertained independently of family history of ARVD/C, whereas a family member is an affected person ascertained through family screening. Nonsustained VT was defined as 3 consecutive ventricular premature beats with a rate >100 beats/min, lasting ≤30 seconds, which was documented during exercise testing, loop monitoring, or 24‐hour Holter monitoring. An electrical or VT storm was defined as the occurrence of VT or VF that resulted in ≥3 ICD interventions (shock or antitachycardia pacing) in a 24‐hour period.6 Major structural abnormalities were defined based on the 2010 revised TFC.4

Survival Data and Statistical Analyses

Continuous variables are summarized as either mean±SD or median (interquartile range) and compared across groups using a Mann–Whitney U test or a t test. Categorical variables are reported as frequency (percentage) and compared between groups by a χ2 or Fisher exact test. The cumulative probability of survival free from first appropriate ICD intervention (VT/VF) and from intervention for VF/VFL was determined by the Kaplan–Meier method, and differences in survival between groups were evaluated with the log‐rank test. In patients without an ICD intervention, follow‐up was to the most recent evaluation, transplantation, or date of death, whichever came first. Univariate Cox regression analysis identified baseline variables that were significantly associated with appropriate ICD therapy. Significantly associated variables (P≤0.05) were integrated into multivariable analysis using the Cox proportional hazards model to identify independent predictors of appropriate ICD intervention for VT/VF and VF/VFL. All analyses were performed using STATA statistical software (version 13.1). A P≤0.05 was considered significant.

Results

Patient Population

The patient population studied consisted of 312 patients who met 2010 TFC4 for definite ARVD/C and received an ICD for prevention of SCD. Details of fulfillment of TFC are shown in Table S1. As shown in Table 1, the study population was mainly white (298, 96%), 163 (52%) were male, and 252 (81%) were probands. The overall mean age at presentation was 33.6±13.9 years, with 209 (67%) of patients aged ≤40 years at initial evaluation.
Table 1

Clinical Features in Patients With and Without ICD Therapy for VT/VF and VF/VFL (Cycle Length ≤240 ms)

Clinical VariablesOverall Population (n=312)ICD Therapy for VT/VF (n=186)No ICD Therapy (n=126)ICD Therapy for VF/VFL (≤240 ms) (n=58)No ICD Therapy for VF/VFL (n=254) P Value
VT/VF vs No ICD TherapyVF/VFL vs No VF/VFL
Demographics
Male163 (52)115 (62)48 (38)38 (66)125 (49)<0.0010.025
White298 (96)179 (96)119 (94)56 (97)242 (95)0.4530.672
Age at presentation, y33.6±13.932.9±14.034.7±13.828.6±12.934.7±13.90.3270.003
Follow‐up, y, median (IQR)7 (3–13)8.2 (3.68–13.95)4.7 (2.44–10.39)7 (3–12)7 (3–13)<0.0010.803
Proband252 (81)169 (91)83 (66)53 (91)199 (78)<0.0010.023
Mutation carrier184/307 (60)116/184 (63)68/123 (37)37/57 (64)147/250 (59)0.1740.395
Clinical characteristics
Syncope96 (31)59 (32)37 (29)25 (43)71 (28)0.6580.024
Inducibility at EPS165/217 (76)120/139 (86)45/78 (58)33/37 (89)132/180 (73)<0.0010.040
Inverted T waves in ≥3 precordial leads209/268 (78)124/150 (83)85/118 (72)40/49 (82)169/219 (77)0.0370.495
PVCs ≥1000/24 h on Holter monitoring118/166 (71)64/80 (80)54/86 (63)27/30 (90)91/136 (67)0.0150.012
NSVT114 (37)66 (35)48 (38)24 (41)90 (35)0.6380.396
Major RV structural abnormality on CMR114/185 (62)64 (67)50 (56)21/32 (66)93/153 (61)0.1430.609
ICD characteristicsa
Age at ICD implantation, y36.5±13.535.6±13.637.9±13.430.8±12.737.8±13.40.147<0.001
Primary prevention135 (43)61 (33)74 (59)27 (47)108 (43)<0.0010.576
Secondary prevention177 (57)125 (67)52 (41)31 (53)146 (57)
Sustained VT158 (51)113 (61)45 (36)26 (45)132 (52)<0.0010.326
VF at presentation19 (6)13 (7)7 (6)5 (9)14 (6)0.6120.372
Single‐chamber ICD184 (61)106/185 (57)78/117 (67)36 (62)148/244 (61)0.1040.843
Dual‐chamber ICD118 (39)79/185 (43)39/117 (33)22 (38)96/244 (39)
Subcutaneous ICD7 (2)1 (0.54)6 (5)0 (0)7 (3)0.0100.355

Values are mean±SD, n (%), or n/N (%). CMR indicates cardiac magnetic resonance; EPS, electrophysiology study; ICD, implantable cardioverter‐defibrillator; IQR, interquartile range; NSVT, nonsustained ventricular tachycardia; PVC, premature ventricular contraction; RV, right ventricular; VF, ventricular fibrillation; VFL, ventricular flutter; VT, ventricular tachycardia.

The decision to implant an ICD for primary prevention was made by the patient's electrophysiologist.

Clinical Features in Patients With and Without ICD Therapy for VT/VF and VF/VFL (Cycle Length ≤240 ms) Values are mean±SD, n (%), or n/N (%). CMR indicates cardiac magnetic resonance; EPS, electrophysiology study; ICD, implantable cardioverter‐defibrillator; IQR, interquartile range; NSVT, nonsustained ventricular tachycardia; PVC, premature ventricular contraction; RV, right ventricular; VF, ventricular fibrillation; VFL, ventricular flutter; VT, ventricular tachycardia. The decision to implant an ICD for primary prevention was made by the patient's electrophysiologist.

Clinical Characteristics at ICD Implant

Table 1 shows that genetic testing was performed in 307 patients (98%). A pathogenic mutation was observed in 184 (60%) of these patients (Table S2). Two thirds of patients who had an EPS performed prior to implant were inducible for sustained VT (144/217, 66%), with a mean CL of 273±53.8 ms (range 170–450 ms). VF was induced in 5% (10/217), and both arrhythmias were induced in 5% (11/217). In addition, 64 patients (21%) had catheter ablation performed before ICD implantation. Holter monitoring was performed in 166 patients (53%). The median premature ventricular contraction (PVC) count was 2572 (interquartile range: 760–6010). Of these patients, 118 (71%) had ≥1000 PVCs per 24 hours. Nonsustained VT on Holter monitoring, exercise stress testing, or loop recording monitors was observed in 114 patients (37%). A total of 268 patients had ECGs available for review from before ICD implantation, of whom 209 (78%) had T‐wave inversions in ≥3 precordial leads. Cardiac magnetic resonance imaging was available for review in 185 (60%), with 114 patients (62%) patients meeting major TFC.4

ICD Implantation

Primary prevention devices were implanted in 135 patients (43%), whereas 177 (57%) received a device for secondary prevention of SCD (Table 1). Among the patients who underwent implantation of an ICD for primary prevention, 21 had a family history of SCD, 47 had a family history of ARVD/C, 48 had experienced syncope, 70 had a history of nonsustained VT, and 52 had inducible sustained ventricular arrhythmia during EPS. Among the 177 patients who underwent ICD implantation for secondary prevention, 158 had previously experienced sustained VT and 19 had presented with VF. The mean age at ICD implantation was 36.5±13.5 years (range: 13–73 years). Seven patients (2%) had subcutaneous ICDs, whereas 184 (61%) had single‐chamber devices and 118 (39%) had dual‐chamber ICDs. Documentation containing ICD programming information was available for review in 148 of 186 patients (80%) who received an appropriate ICD intervention. The slowest ICD therapy detection zone was programmed at heart rates of ≥200 bpm in 41 of the 148 patients, >180 and <200 bpm in 48 patients, ≥160 and <180 bpm in 44 patients, and <160 bpm in 15 patients. Documentation containing ICD programming information was available for review in 148 of 186 patients (80%) who received an appropriate ICD intervention. The slowest ICD therapy detection zone was programmed at heart rates of ≥200 bpm in 41 of the 148 patients, >180 and <200 bpm in 48 patients, ≥160 and <180 bpm in 44 patients, and <160 bpm in 15 patients.

First Appropriate ICD Therapy (VT/VF)

Figure 1A shows the Kaplan–Meier analysis of cumulative survival from first appropriate ICD therapy (VT/VF). Overall, the cumulative survival free from appropriate ICD interventions was 60%, 51%, 37% and 24% at 1, 2, 5 and 10 years, respectively. Over a median follow‐up of 7 years (interquartile range: 3–13 years), 186 patients (60%) received appropriate ICD therapy. Of those, 115 (62%) were male and 169 (91%) were probands. The mean age at presentation for those patients who received appropriate ICD therapy was 32.9±14.0 years, with almost half (n=92) presenting before 30 years of age. Other characteristics of this group included a positive EPS in 120 of 139 that underwent EPS (86%), T‐wave inversion in >3 precordial leads (124/150, 83%), and ≥1000 PVCs per 24 hours (64/80, 80%; Table 1). The mean CL of the arrhythmia at the first appropriate event was 278±59.8 ms (range: 178–545 ms). The median time from ICD implantation to first appropriate therapy was 5.9 months (range: 0.03–252 months). The majority (119, 64%) of initial appropriate ICD therapies occurred in the first year, with 63 in the first 3 months after implant. A total of 84 of 124 patients (68%) with available records were engaged in exercise at the time of first appropriate ICD intervention. At the time of first ICD intervention, 120 of 173 patients (70%) with available records were taking the following medications: β‐blockers, 73 (61%); class I or III antiarrhythmic agents, 38 (32%); and a combination of both, 9 (8%). In addition, we observed that among those who had an appropriate ICD therapy, VT storms occurred in 82 patients (44%). The median duration from ICD implant to the first VT storm was 27 months (range: 0.03–275 months).
Figure 1

Appropriate ICD therapy in arrhythmogenic right ventricular dysplasia/cardiomyopathy patients. Kaplan–Meier analysis of cumulative survival free from any appropriate ICD interventions (A) and from ICD intervention for VF/VFL (B). ICD indicates implantable cardioverter‐defibrillator; VF/VFL, ventricular fibrillation/flutter.

Appropriate ICD therapy in arrhythmogenic right ventricular dysplasia/cardiomyopathy patients. Kaplan–Meier analysis of cumulative survival free from any appropriate ICD interventions (A) and from ICD intervention for VF/VFL (B). ICD indicates implantable cardioverter‐defibrillator; VF/VFL, ventricular fibrillation/flutter.

Predictors of First Appropriate ICD Therapy

Table 2 and Table S3 show the variables analyzed as potential predictors of first appropriate ICD intervention (VT/VF). Univariate predictors of appropriate ICD intervention were history of a sustained VT at presentation (hazard ratio [HR]: 1.86; 95% confidence interval [CI], 1.38–2.49; P<0.001), inducibility on EPS (HR: 3.14; 95% CI, 1.95–5.05; P<0.001), male sex (HR: 1.62; 95% CI, 1.20–2.19; P=0.001), inverted T waves in ≥3 precordial leads (HR: 1.66; 95% CI, 1.09–2.52; P=0.018), and PVC count ≥1000/24 hours (HR: 2.30; 95% CI, 1.32–4.00; P=0.003). Only inducibility on EPS (HR: 2.28; 95% CI, 1.10–4.70; P=0.025) was found to be an independent predictor of any appropriate ICD therapy on multivariable analysis. Figure 2A through 2F shows Kaplan–Meier analysis of freedom from any ICD intervention stratified by inducibility on EPS, sex, number of T‐wave inversions on ECG, PVC count, history of VT at presentation, and primary versus secondary prevention (VT/VF).
Table 2

Predictors Appropriate ICD Intervention for VT/VF and for ICD Therapy for VF/VFL (CL ≤240 ms)

VariableFirst Appropriate Therapy (VT/VF)VF/VFL (CL ≤240 ms)
Univariate AnalysisMultivariable AnalysisUnivariate AnalysisMultivariable Analysis
HR (95% CI) P ValueHR (95% CI) P ValueHR (95% CI) P ValueHR (95% CI) P Value
History of VT at presentation1.86 (1.38–2.49)<0.0011.18 (0.64–2.18)0.5920.73 (0.43–1.23)0.244······
Inducibility at EPS3.14 (1.95–5.05)<0.0012.28 (1.10–4.70)0.0252.65 (0.94–7.44)0.063······
Male sex1.62 (1.20–2.19)0.0011.34 (0.74–2.40)0.3251.73 (1.01–2.97)0.0461.76 (0.81–3.84)0.155
Inverted T waves in ≥3 precordial leads1.66 (1.09–2.52)0.0181.49 (0.77–2.88)0.2321.26 (0.61–2.62)0.531······
PVCs ≥1000/24 h on Holter monitoring2.30 (1.32–4.00)0.0031.30 (0.68–2.49)0.4144.39 (1.32–14.61)0.0164.43 (1.35–14.57)0.014
Major RV structural abnormality1.49 (0.98–2.28)0.065······1.26 (0.61–2.58)0.536······
Syncope1.19 (0.87–1.62)0.271······1.85 (1.10–3.11)0.0212.05 (0.96–4.39)0.064
Mutation carrier1.17 (0.87–1.58)0.298······1.14 (0.66–1.97)0.633······
NSVT1.09 (0.81–1.48)0.572······1.45 (0.86–2.44)0.163······
History of VF at presentation1.22 (0.64–2.29)0.534······1.63 (0.63–4.18)0.307······
Age at presentation ≤30 y1.03 (0.77–1.38)0.832······1.76 (1.04–3.00)0.0363.14 (1.32–7.48)0.010

CI indicates confidence interval; CL, cycle length; EPS, electrophysiology study; HR, hazard ratio; ICD, implantable cardioverter‐defibrillator; NSVT, nonsustained ventricular tachycardia; PVC, premature ventricular contraction; RV, right ventricular; VF, ventricular fibrillation; VFL, ventricular flutter; VT, ventricular tachycardia.

Figure 2

Cumulative survival from first appropriate ICD intervention (VT/VF) stratified by inducibility on EPS (A), sex (B), number of TWIs (C), PVCs on Holter monitor (D), history of VT at presentation (E), and primary vs secondary prevention (VT/VF) (F). EPS indicates electrophysiology study; ICD, implantable cardioverter‐defibrillator; PVC, premature ventricular contraction; TWI, T‐wave inversion; VT/VF, ventricular tachycardia/ventricular fibrillation.

Predictors Appropriate ICD Intervention for VT/VF and for ICD Therapy for VF/VFL (CL ≤240 ms) CI indicates confidence interval; CL, cycle length; EPS, electrophysiology study; HR, hazard ratio; ICD, implantable cardioverter‐defibrillator; NSVT, nonsustained ventricular tachycardia; PVC, premature ventricular contraction; RV, right ventricular; VF, ventricular fibrillation; VFL, ventricular flutter; VT, ventricular tachycardia. Cumulative survival from first appropriate ICD intervention (VT/VF) stratified by inducibility on EPS (A), sex (B), number of TWIs (C), PVCs on Holter monitor (D), history of VT at presentation (E), and primary vs secondary prevention (VT/VF) (F). EPS indicates electrophysiology study; ICD, implantable cardioverter‐defibrillator; PVC, premature ventricular contraction; TWI, T‐wave inversion; VT/VF, ventricular tachycardia/ventricular fibrillation.

ICD Therapy for VF/VFL (CL ≤240 ms)

Figure 1B shows the Kaplan–Meier analysis of cumulative survival from an ICD therapy for VF/VFL (CL ≤240 ms). The cumulative survival free from events was 89%, 85%, 79%, and 73% at 1, 2, 5, 10 years of follow‐up, respectively. An appropriate ICD intervention for VF/VFL was observed in 58 patients (19%). The majority of patients in this group were male (38, 66%) and probands (53, 91%). The mean age at presentation was 28±13.10 years, with approximately two thirds of patients who received an ICD therapy for VF/VFL presenting at ≤30 years of age (n=36; Figure S1). In addition, 27 of 30 (90%) had ≥1000 PVC/24 hours on Holter monitoring, and 33 of 37 (89%) were inducible for sustained ventricular arrhythmias on EPS (Table 1). The median time from ICD implantation to first ICD therapy for VF/VFL therapy was 9.1 months (range: 0.5–112.5 months). The CL for the first VF/VFL episode was 220±15.1 ms (range: 178–240 ms). The majority of patients (27/44, 61%) with available information for level of activity at first ICD therapy for VF/VFL were exercising at that time. In addition, 40 of 52 patients (77%) with available records were taking β‐blockers (24, 60%), class I or III antiarrhythmic drugs (12, 30%), or a combination of both medications (4, 10%) when the therapy occurred.

Predictors of ICD Therapy for VF/VFL (CL ≤240 ms)

The variables analyzed as potential predictors of appropriate ICD therapies for VF/VFL are shown in Table 2 and Table S3. Univariate predictors of appropriate ICD interventions were PVCs ≥1000/24 hours on Holter monitoring (HR: 4.39; 95% CI, 1.32–14.61; P=0.016), syncope (HR: 1.85; 95% CI, 1.10–3.11; P=0.021), age at presentation ≤30 years (HR: 1.76; 95% CI, 1.04–3.00; P=0.036), and male sex (HR: 1.73; 95% CI, 1.01–2.97; P=0.046). After multivariable analysis, age ≤30 years at presentation (HR: 3.14; 95% CI, 1.32–7.48; P=0.010) and PVC count ≥1000/24 hours (HR: 4.43; 95% CI, 1.35–14.57; P=0.014) remained as significant predictors of appropriate ICD interventions for VF/VFL. Figure 3A through 3F shows Kaplan–Meier analysis of freedom from ICD intervention stratified by sex, PVC count, syncope, age at presentation, history of VT at presentation, and primary versus secondary prevention (VT/VF).
Figure 3

Cumulative survival from ICD intervention for VF/VFL (cycle length ≤240 ms) stratified by sex (A), PVCs on Holter monitor (B), syncope (C), age at presentation (D), history of VT at presentation (E), and primary vs secondary prevention (VT/VF) (F). ICD indicates implantable cardioverter defibrillator; PVC, premature ventricular contraction; VF/VFL, ventricular fibrillation/flutter; VT/VF, ventricular tachycardia/ventricular fibrillation.

Cumulative survival from ICD intervention for VF/VFL (cycle length ≤240 ms) stratified by sex (A), PVCs on Holter monitor (B), syncope (C), age at presentation (D), history of VT at presentation (E), and primary vs secondary prevention (VT/VF) (F). ICD indicates implantable cardioverter defibrillator; PVC, premature ventricular contraction; VF/VFL, ventricular fibrillation/flutter; VT/VF, ventricular tachycardia/ventricular fibrillation. In addition, Figure 3E and Figure S2 show that a history of sustained VT at presentation, although a predictor of all ICD therapies, was not a significant predictor of VF/VFL at follow‐up.

Inappropriate Interventions and Complications

In this study, we will separately report the rates of complications and inappropriate intervention. A total of 193 inappropriate ICD interventions were observed in 64 patients (21%). The majority (102, 53%) of inappropriate therapies occurred in patients with single‐chamber ICDs, with 85 (44%) in those with dual‐chamber devices, and 6 (3%) inappropriate shocks occurred in 1 patient with a subcutaneous ICD that eventually required replacement with a transvenous device. The median time from ICD implantation to first inappropriate intervention was 1.68 years (range: 0.01–19.8 years). The inappropriate discharges were due to sinus tachycardia (n=29), other type of supraventricular arrhythmia (n=28), inappropriate sensing (n=4), or lead malfunction (n=3). Table 3 shows the ICD‐related complications in our patient population. There were 98 lead‐ or device‐related complications in 66 patients (21%). Among the 98 complications, 66 (67%) were lead related and the remainder were generator related (32, 33%). Six (6%) patients experienced decreased sensing on the right ventricular lead, requiring revision or replacement.
Table 3

ICD–Related Complications

ComplicationNumber (n=98)
Lead‐related complications (n=68)
Lead fracture19 (19)
Decreased sensing on the RV6 (6)
Lead dislodgment8 (8)
Lead recall12 (12)
Subclavian/IJ vein thrombosis2 (2)
Lead malfunctiona 19 (19)
Tamponade2 (2)
Generator‐related complications (n=30)
Hematoma1 (1)
Generator recall7 (7)
Generator malposition4 (4)
Premature battery depletion2 (2)
Infection4 (4)
Generator malfunctionb 11 (11)
Device explantation due to chronic pain1 (1)

All complications listed required surgical intervention with the exception of venous thrombosis. ICD indicates implantable cardioverter‐defibrillator; IJ, internal jugular; RV, right ventricle.

RV lead showing high impedance (n=2), decreased sensing/high pacing threshold on right atrium lead (n=2), lead revision due to malposition (n=1), lead noise (n=8), concern for lead related proarrhythmia (n=2), lead revision/replacement for other reasons or unspecified malfunction issues (n=4).

Grommet torn from the header (n=1), generator noise (n=4), generator with prolonged charging times (n=2), failure to deliver a shock during a ventricular fibrillation episode (n=1), high impedance/inconsistent lead measurements (n=1), oversensing with multiple inappropriate shocks (n=1), high defibrillation threshold testing (n=1).

ICD–Related Complications All complications listed required surgical intervention with the exception of venous thrombosis. ICD indicates implantable cardioverter‐defibrillator; IJ, internal jugular; RV, right ventricle. RV lead showing high impedance (n=2), decreased sensing/high pacing threshold on right atrium lead (n=2), lead revision due to malposition (n=1), lead noise (n=8), concern for lead related proarrhythmia (n=2), lead revision/replacement for other reasons or unspecified malfunction issues (n=4). Grommet torn from the header (n=1), generator noise (n=4), generator with prolonged charging times (n=2), failure to deliver a shock during a ventricular fibrillation episode (n=1), high impedance/inconsistent lead measurements (n=1), oversensing with multiple inappropriate shocks (n=1), high defibrillation threshold testing (n=1).

Long‐Term Outcomes and Survival

At last follow‐up, 307 patients (98%) were alive and 5 (2%) had died (1 due to complications after cardiac ablation, 2 related to heart failure, and 2 from noncardiac causes). A total of 12 patients (4%) underwent cardiac transplantation due to progressive heart failure and/or incessant arrhythmias. The age at cardiac transplantation averaged 45.84±8.83 years. The mean time from ICD implantation to cardiac transplant was 9.44±5.92 years.

Discussion

Main Findings

The present study represents the largest experience of ARVD/C patients with ICDs available to date. We present the outcome of a cohort of 312 patients with definite ARVD/C diagnosis per 2010 TFC who received an ICD for primary or secondary prevention of SCD. During a median follow‐up of 7 years (interquartile range: 3–13), 60% of ARVD/C patients received an appropriate ICD therapy. Among the 312 ARVD/C patients reported in this study, nearly 1 in 5 (19%) received potentially lifesaving ICD therapy for VF/VFL. The clinical variables that were identified as predictors of first appropriate ICD therapy were a history of VT at presentation, inducibility at EPS, male sex, inverted T waves in ≥3 precordial leads, and ≥1000 PVCs per 24 hours with inducibility at EPS being the only variable that remained significant after multivariable analysis. Predictors of ICD therapy for VF/VFL (CL ≤240 ms) were PVC count ≥1000/24 hours, syncope, ≤30 years of age at presentation, and male sex. Increased ventricular ectopy burden and younger age at presentation were found to independently increase the risk of ICD interventions for VF/VFL. Of particular note is our finding that a history of sustained VT at presentation, although predictive of an appropriate ICD therapy during follow‐up, was not a significant predictor of VF/VFL. Inappropriate ICD interventions were observed in 64 patients (21%) and ≥1 ICD‐related complication occurred in 66 patients (21%). Despite the high rate of appropriate ICD therapy, the overall mortality of this large cohort of patients was low, with 5 patients (2%) dying during a median follow‐up of 7 years, and 12 (4%) patients undergoing cardiac transplantation.

ICD Therapy in ARVD/C

ARVD/C is an inherited cardiomyopathy characterized by right ventricular dysfunction, ventricular arrhythmias, and SCD. It has been estimated that ARVD/C accounts for 13% to 16% of cases of SCD in children and young adults.1, 7, 8 Because of this markedly increased risk of SCD and sustained ventricular arrhythmias, ICD therapy represents one of the most important therapeutic modalities for patients diagnosed with ARVD/C. Since the first major description of ARVD/C in 1992 by Marcus et al,9 a number of articles have been published describing the clinical features and outcomes of ARVD/C patients who undergo placement of an ICD. Although these articles have provided important information, they also have important limitations including small sample sizes ranging from 26 to 132 patients,10, 11, 12, 13, 14, 15, 16, 17, 18, 19 the use of the 1994 task force diagnostic criteria,10, 11, 12, 13, 14, 16, 20, 21 inclusion of participants who did not fully meet diagnostic criteria for ARVD/C,13, 15 and lack of genetic testing.10, 11, 12, 13, 14, 16, 20, 21 Furthermore, the primary end point in many of these studies was the prediction of appropriate ICD therapy, including both sustained VT and VF/VFL.11, 12, 13, 15, 16, 17, 18, 19, 21 We undertook this study because of these limitations and because of the importance of risk stratification to prevent SCD in patients with ARVD/C.

Demographic Features of ARVD/C Patients Undergoing ICD Implantation

The results of this study provide important data concerning the demographic features of ARVD/C patients undergoing ICD implantation in the United States. Among the 312 ARVD/C patients in this series, more than half were male and the majority were probands. ICDs were implanted for secondary prevention in 57% of these patients. The median age at ICD implantation was 36.5 years. The demographic features of patients undergoing ICD implantation in this study are generally similar to those in prior reports.10, 11, 12, 13, 15, 16, 17, 18, 21 Nevertheless, this study is unique in that only patients who met diagnostic criteria were included, and a greater proportion of our ARVD/C population underwent ICD implantation for primary prevention than has been reported in prior series.10, 11, 12, 13, 16, 17, 18, 21 In addition, this cohort includes a lower proportion of male patients than most series of arrhythmogenic right ventricular cardiomyopathy patients with ICDs,10, 11, 14, 17, 20 and the median age at ICD implantation in our series was somewhat higher than in prior studies.17, 21

Incidence and Predictors of Sustained Ventricular Arrhythmias

The results of this study revealed that patients with ARVD/C who undergo ICD implantation for primary or secondary prevention have a remarkably high incidence of appropriate ICD therapies both for any sustained ventricular arrhythmia (22% annually) and for VF/VFL (3.6% annually). The clinical variables that were identified as predictors of any appropriate ICD therapy were a history of sustained VT at presentation, inducibility at EPS, male sex, ≥3 T‐wave inversions in ECG, and a PVC count ≥1000/24 hours. After multivariable analysis, inducibility at EPS was the only variable that remained as an independent risk factor for any ICD therapy. These results confirm and extend the results of prior studies of ICD implantation in patients with ARVD/C. Although many of our findings are similar to those of prior reports, several are either new or differ from prior reports. In accordance with previous reports,10, 11, 12, 13, 16, 17, 18, 19, 20, 21 in which appropriate ICD interventions range from 34% to 78%, the results of our study revealed that 60% of patients had an appropriate ICD therapy on follow‐up, with the first ICD intervention occurring within a year of implantation in more than two thirds. The proportion of patients with a primary‐prevention ICD who experienced a sustained ventricular arrhythmia was 45% in our series, which is somewhat higher than has been described previously (24%).14 Several studies12, 13, 15 have reported that inducibility of sustained ventricular arrhythmias on EPS is a predictor of ICD therapy. Bhonsale et al15 showed that it is an independent predictor of ICD therapy in patients with ICDs implanted for primary prevention. Our findings confirm and extend these results, showing that EPS inducibility can provide considerable prognostic information for risk‐stratification purposes when evaluating patients with ARVD/C. In addition, our results are consistent with previous studies13, 19, 20 that have reported that a history of sustained VT and/or VF are risk factors for having appropriate ICD therapy at follow‐up. Our results are also consistent with the results of prior studies that have reported that men are at higher arrhythmia risk than women.17, 19, 22, 23 Finally, our results are also consistent with prior studies that have reported that T‐wave inversions on precordial leads of the ECG13, 15, 20 and a PVC count of ≥1000 on 24‐hour Holter15 are predictors of appropriate ICD therapy for VT/VF. The design and findings of the present study allowed us to extend a prior observation15 that PVC frequency predicts appropriate ICD therapy in primary‐prevention ARVD/C patients compared with those undergoing ICD implantation for secondary prevention.

Incidence and Predictors of VF/VFL (CL ≤240 ms)

A main objective of this study was to define the incidence of VF/VFL (CL ≤240 ms) and identify factors that predict these malignant arrhythmias in ARVD/C patients. The results of this study revealed that a high PVC burden, history of syncope, proband status, ≤30 years old at presentation, and male sex were significant predictors of VF/VFL therapy, with PVC burden and younger age at presentation emerging as independent risk factors on multivariable analysis. A review of the literature reveals that 3 prior studies have previously reported the incidence and predictors of VF/VFL. The first and largest of these studies consisted of 132 patients and was published in 2003 by Corrado et al.10 Similar to our study, the authors reported an annual incidence of VF/VFL of 3.3% per year, which is remarkably similar to the rate of 3.6% per year reported in our study. In addition, similar to the results of our study, they found that younger age and syncope were predictors of VF/VFL. A prior history of sustained VT or VF was another predictor of VF/VFL. A unique feature of our study was that we wanted to determine whether presentation with sustained VT (not VF/VFL) was predictive of a higher risk of VF/VFL during follow‐up. We found that sustained VT was not a predictor of VF/VFL. To the best of our knowledge, this study is the first to examine this relationship. In the second study looking at predictors of VF/VFL,14 syncope was the only independent predictor of VF/VFL therapy in a primary‐prevention cohort. A recently published study19 looking at a cohort of ARVD/C patients that had ICDs predominantly for primary prevention of SCD (68/81, 84%) also found that syncope independently increased the risk of life‐threatening arrhythmic events, defined as SCD, aborted cardiac arrest, syncopal VT or electrical storm, or cardiovascular mortality. In the case of the present cohort, syncope was found to be a predictor of therapy for VF/VFL on univariate analysis but did not emerge as an independent risk factor on multivariable analysis. In addition, Link et al20 showed that younger age at the time of ICD implantation is an independent factor for ICD therapy for VF/VFL; this is consistent with our findings. Furthermore, Mazzanti et al19 reported that patients aged between 21 and 40 years had higher risk of experiencing life‐threatening arrhythmic events. Finally, our study demonstrates, for the first time, that a Holter‐monitor PVC count ≥1000/24 hours is an independent predictor of VF/VFL (CL ≤240 ms). This suggests that a high PVC burden might be a marker of electrical instability. This finding supports the role of Holter monitoring as a widely available and inexpensive, noninvasive way to obtain valuable information for the risk stratification of patients with ARVD/C.

Complications and Inappropriate ICD Therapies

One or more complications of ICD therapy occurred in 66 patients (21%) in this study. This high incidence of ICD‐related complications confirms the findings of prior studies.10, 12, 13, 14, 15, 19 Furthermore, a recently published meta‐analysis2 looking at ICD‐related complications in patients with inherited arrhythmia syndromes reported that 125 of 535 patients (24%) with ARVD/C have an ICD‐related complication. Inappropriate ICD interventions were observed in 64 patients (21%). This finding is also similar to the rate of inappropriate ICD therapy reported in prior studies that have reported rates of inappropriate ICD therapy, ranging from 16% to 24%.2, 10, 11, 12, 13, 14, 15 This shows that the accurate identification of patients at high risk of SCD is critical not only to save lives but to protect low‐risk persons from potential complications and unnecessary ICD therapies.

Survival and Transplantation

The overall mortality of this large cohort of patients was low, with 5 patients (2%) dying during a median follow‐up of 7 years. A total of 12 patients (4%) underwent cardiac transplantation. The age at first symptom averaged 25±11.25 years, and the age at cardiac transplantation averaged 45.84±8.83 years. These findings are consistent with prior reports.9, 11, 13, 15, 16

Study Limitations

The present study has several limitations that need to be considered when interpreting its results. First, the ARVD/C patients in this study were not an unselected cohort of ARVD/C patients but rather patients who were clinically assessed by their clinical cardiologist or electrophysiologist to have a sufficiently high arrhythmic risk to warrant ICD implantation. Consequently, the reported rate of arrhythmic events does not necessarily correspond to the true arrhythmic risk of an unselected general cohort of ARVD/C patients. This limitation also affects our ability to determine the sensitivity and specificity of all diagnostic tests, including EPS, in predicting arrhythmia risk because the treating cardiologists may have elected not to implant an ICD in some patients with a “positive” or “negative” test. Second, programming of ICDs was performed at the discretion of the implanting physician, often before publication of the Multicenter Automatic Defibrillator Implantation Trial ‐ Reduce Inappropriate Therapy (MADIT‐RIT) study. This approach to ICD programming likely resulted in an overestimation of the frequency of appropriate ICD therapies that would be anticipated today as a result of the revised ICD programming parameters that resulted from the results of the MADIT‐RIT study. Third, the survival benefit of ICD therapy was assessed assuming that VF/VFL would have been fatal in all cases without shock therapy. We recognize that this may overestimate the true benefit of ICD therapy. Fourth, we did not have complete information on the CL of treated arrhythmias in all patients. When intracardiac tracings were unavailable for review, we relied on the interpretation of the treating electrophysiologist or cardiologist with regard to the appropriateness of the ICD intervention. Last, not all patients had complete diagnostic testing performed. As noted in the results section of the study, ECGs, Holters, magnetic resonance images, and EPS at the time of ICD implant were available for 78%, 71%, 62%, and 76% of patients, respectively. This is a limitation of our study and affects the power of our study to identify the relative role of these tests in risk‐stratifying patients with ARVD/C. Although this is a limitation of our study, it is important to recognize that this is a limitation of all prior studies of ICD therapy in arrhythmogenic right ventricular cardiomyopathy therapy. This could potentially affect the precision of the HR estimates with resultant wide CIs due to a reduced number during multivariable modeling. In addition, we did not have complete details on the stimulation protocol and/or isoproterenol dose used during the EPS.

Conclusion

This study reports the outcomes of the largest series of ARVD/C patients to undergo ICD implantation. The results of this study provide important data concerning the outcomes of ICD therapy in patients with ARVD/C that should ultimately help guide clinicians in their recommendation for ICD implantation in patients with ARVD/C. The high rate of appropriate ICD therapy for VF/VFL is an important reminder of the lethal nature of ARVD/C. Variables that clinicians should consider to be markers of high risks for a malignant ventricular arrhythmia (VF/VFL) include high PVC burden, history of syncope, younger age at presentation, and male sex.

Sources of Funding

The authors wish to acknowledge funding from the Dr Francis P. Chiaramonte Private Foundation, the St Jude Medical Foundation, and Boston Scientific Corp. The Johns Hopkins ARVD/C Program is supported by the Leyla Erkan Family Fund for ARVD/C Research, the Dr. Satish, Rupal, and Robin Shah ARVD/C Fund at Johns Hopkins, the Bogle Foundation, the Healing Hearts Foundation, the Campanella Family, the Patrick J. Harrison Family, the Peter French Memorial Foundation, and the Wilmerding Endowments.

Disclosures

Dr Calkins is a consultant for Medtronic Inc. Dr Calkins receives research support from the St Jude Medical Foundation and Boston Scientific Corp. Tichnell and James receive salary support from these grants. Dr Riele receives research support from the Dutch Heart foundation. The remaining authors have no disclosures to report. Table S1. The 2010 Revised Task Force Criteria in 312 Patients With Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy Table S2. Details of Individual Mutations Identified in the Study Population Table S3. Predictors Appropriate Implantable Cardioverter‐Defibrillator Intervention for VT/VF and for VF/VFL (Cycle Length ≤240 ms)* Figure S1. A and B, Proportion of patients with implantable cardioverter‐defibrillators for primary and secondary prevention (ventricular tachycardia/ventricular fibrillation [VT/VF]) that develop VF/VFL (cycle length [CL] ≥240 ms) at follow up (A). Proportion of patients with and without history of ventricular tachycardia at presentation (VT) that develop ventricular fibrillation/flutter (CL ≥240 ms) at follow up (B). Figure S2. Age at the time of first implantable cardioverter‐defibrillator intervention for ventricular fibrillation/flutter (cycle length ≥240 ms). Click here for additional data file.
  23 in total

1.  Incidence and predictors of implantable cardioverter-defibrillator therapy in patients with arrhythmogenic right ventricular dysplasia/cardiomyopathy undergoing implantable cardioverter-defibrillator implantation for primary prevention.

Authors:  Aditya Bhonsale; Cynthia A James; Crystal Tichnell; Brittney Murray; Dmitri Gagarin; Binu Philips; Darshan Dalal; Ryan Tedford; Stuart D Russell; Theodore Abraham; Harikrishna Tandri; Daniel P Judge; Hugh Calkins
Journal:  J Am Coll Cardiol       Date:  2011-09-27       Impact factor: 24.094

2.  Arrhythmogenic right ventricular dysplasia: a United States experience.

Authors:  Darshan Dalal; Khurram Nasir; Chandra Bomma; Kalpana Prakasa; Harikrishna Tandri; Jonathan Piccini; Ariel Roguin; Crystal Tichnell; Cynthia James; Stuart D Russell; Daniel P Judge; Theodore Abraham; Philip J Spevak; David A Bluemke; Hugh Calkins
Journal:  Circulation       Date:  2005-12-12       Impact factor: 29.690

3.  Diagnosis of arrhythmogenic right ventricular cardiomyopathy/dysplasia: proposed modification of the Task Force Criteria.

Authors:  Frank I Marcus; William J McKenna; Duane Sherrill; Cristina Basso; Barbara Bauce; David A Bluemke; Hugh Calkins; Domenico Corrado; Moniek G P J Cox; James P Daubert; Guy Fontaine; Kathleen Gear; Richard Hauer; Andrea Nava; Michael H Picard; Nikos Protonotarios; Jeffrey E Saffitz; Danita M Yoerger Sanborn; Jonathan S Steinberg; Harikrishna Tandri; Gaetano Thiene; Jeffrey A Towbin; Adalena Tsatsopoulou; Thomas Wichter; Wojciech Zareba
Journal:  Eur Heart J       Date:  2010-02-19       Impact factor: 29.983

Review 4.  Arrhythmogenic Right Ventricular Cardiomyopathy.

Authors:  Domenico Corrado; Mark S Link; Hugh Calkins
Journal:  N Engl J Med       Date:  2017-01-05       Impact factor: 91.245

5.  Predictors of appropriate implantable defibrillator therapies in patients with arrhythmogenic right ventricular dysplasia.

Authors:  Jonathan P Piccini; Darshan Dalal; Ariel Roguin; Chandra Bomma; Alan Cheng; Kalpana Prakasa; Jun Dong; Crystal Tichnell; Cynthia James; Stuart Russell; Jane Crosson; Ronald D Berger; Joseph E Marine; Gordon Tomaselli; Hugh Calkins
Journal:  Heart Rhythm       Date:  2005-11       Impact factor: 6.343

6.  Arrhythmogenic Right Ventricular Cardiomyopathy: Clinical Course and Predictors of Arrhythmic Risk.

Authors:  Andrea Mazzanti; Kevin Ng; Alessandro Faragli; Riccardo Maragna; Elena Chiodaroli; Nicoletta Orphanou; Nicola Monteforte; Mirella Memmi; Patrick Gambelli; Valeria Novelli; Raffaella Bloise; Oronzo Catalano; Guido Moro; Valentina Tibollo; Massimo Morini; Riccardo Bellazzi; Carlo Napolitano; Vincenzo Bagnardi; Silvia G Priori
Journal:  J Am Coll Cardiol       Date:  2016-12-13       Impact factor: 24.094

7.  Prophylactic implantable defibrillator in patients with arrhythmogenic right ventricular cardiomyopathy/dysplasia and no prior ventricular fibrillation or sustained ventricular tachycardia.

Authors:  Domenico Corrado; Hugh Calkins; Mark S Link; Loira Leoni; Stefano Favale; Michela Bevilacqua; Cristina Basso; Deirdre Ward; Giuseppe Boriani; Renato Ricci; Jonathan P Piccini; Darshan Dalal; Massimo Santini; Gianfranco Buja; Sabino Iliceto; N A Mark Estes; Thomas Wichter; William J McKenna; Gaetano Thiene; Frank I Marcus
Journal:  Circulation       Date:  2010-09-07       Impact factor: 29.690

8.  Diagnosis of arrhythmogenic right ventricular dysplasia/cardiomyopathy. Task Force of the Working Group Myocardial and Pericardial Disease of the European Society of Cardiology and of the Scientific Council on Cardiomyopathies of the International Society and Federation of Cardiology.

Authors:  W J McKenna; G Thiene; A Nava; F Fontaliran; C Blomstrom-Lundqvist; G Fontaine; F Camerini
Journal:  Br Heart J       Date:  1994-03

9.  Implantable cardioverter-defibrillator therapy for prevention of sudden death in patients with arrhythmogenic right ventricular cardiomyopathy/dysplasia.

Authors:  Domenico Corrado; Loira Leoni; Mark S Link; Paolo Della Bella; Fiorenzo Gaita; Antonio Curnis; Jorge Uriarte Salerno; Diran Igidbashian; Antonio Raviele; Marcello Disertori; Gabriele Zanotto; Roberto Verlato; Giuseppe Vergara; Pietro Delise; Pietro Turrini; Cristina Basso; Franco Naccarella; Francesco Maddalena; N A Mark Estes; Gianfranco Buja; Gaetano Thiene
Journal:  Circulation       Date:  2003-11-24       Impact factor: 29.690

10.  Ventricular arrhythmias in the North American multidisciplinary study of ARVC: predictors, characteristics, and treatment.

Authors:  Mark S Link; Douglas Laidlaw; Bronislava Polonsky; Wojciech Zareba; Scott McNitt; Kathleen Gear; Frank Marcus; N A Mark Estes
Journal:  J Am Coll Cardiol       Date:  2014-07-15       Impact factor: 24.094

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1.  2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias.

Authors:  Edmond M Cronin; Frank M Bogun; Philippe Maury; Petr Peichl; Minglong Chen; Narayanan Namboodiri; Luis Aguinaga; Luiz Roberto Leite; Sana M Al-Khatib; Elad Anter; Antonio Berruezo; David J Callans; Mina K Chung; Phillip Cuculich; Andre d'Avila; Barbara J Deal; Paolo Della Bella; Thomas Deneke; Timm-Michael Dickfeld; Claudio Hadid; Haris M Haqqani; G Neal Kay; Rakesh Latchamsetty; Francis Marchlinski; John M Miller; Akihiko Nogami; Akash R Patel; Rajeev Kumar Pathak; Luis C Saenz Morales; Pasquale Santangeli; John L Sapp; Andrea Sarkozy; Kyoko Soejima; William G Stevenson; Usha B Tedrow; Wendy S Tzou; Niraj Varma; Katja Zeppenfeld
Journal:  J Interv Card Electrophysiol       Date:  2020-10       Impact factor: 1.900

2.  2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias.

Authors:  Edmond M Cronin; Frank M Bogun; Philippe Maury; Petr Peichl; Minglong Chen; Narayanan Namboodiri; Luis Aguinaga; Luiz Roberto Leite; Sana M Al-Khatib; Elad Anter; Antonio Berruezo; David J Callans; Mina K Chung; Phillip Cuculich; Andre d'Avila; Barbara J Deal; Paolo Della Bella; Thomas Deneke; Timm-Michael Dickfeld; Claudio Hadid; Haris M Haqqani; G Neal Kay; Rakesh Latchamsetty; Francis Marchlinski; John M Miller; Akihiko Nogami; Akash R Patel; Rajeev Kumar Pathak; Luis C Sáenz Morales; Pasquale Santangeli; John L Sapp; Andrea Sarkozy; Kyoko Soejima; William G Stevenson; Usha B Tedrow; Wendy S Tzou; Niraj Varma; Katja Zeppenfeld
Journal:  Europace       Date:  2019-08-01       Impact factor: 5.214

3.  Running the Risk: Exercise and Arrhythmogenic Cardiomyopathy.

Authors:  Lauren Eberly; Lohit Garg; Mahesh Vidula; Nosheen Reza; Sheela Krishnan
Journal:  Curr Treat Options Cardiovasc Med       Date:  2021-09-18

Review 4.  Risk Stratification in Arrhythmogenic Right Ventricular Cardiomyopathy.

Authors:  Hugh Calkins; Domenico Corrado; Frank Marcus
Journal:  Circulation       Date:  2017-11-21       Impact factor: 29.690

5.  Diagnostic and therapeutic strategies for arrhythmogenic right ventricular dysplasia/cardiomyopathy patient.

Authors:  Weijia Wang; Cynthia A James; Hugh Calkins
Journal:  Europace       Date:  2019-01-01       Impact factor: 5.214

6.  Left Ventricular Involvement in Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy Predicts Adverse Clinical Outcomes: A Cardiovascular Magnetic Resonance Feature Tracking Study.

Authors:  Meng-Ting Shen; Zhi-Gang Yang; Kai-Yue Diao; Li Jiang; Yi Zhang; Xi Liu; Yue Gao; Bi-Yue Hu; Shan Huang; Ying-Kun Guo
Journal:  Sci Rep       Date:  2019-10-02       Impact factor: 4.379

7.  Sudden Cardiac Death Prediction in Arrhythmogenic Right Ventricular Cardiomyopathy: A Multinational Collaboration.

Authors:  Julia Cadrin-Tourigny; Laurens P Bosman; Weijia Wang; Rafik Tadros; Aditya Bhonsale; Mimount Bourfiss; Øyvind H Lie; Ardan M Saguner; Anneli Svensson; Antoine Andorin; Crystal Tichnell; Brittney Murray; Katja Zeppenfeld; Maarten P van den Berg; Folkert W Asselbergs; Arthur A M Wilde; Andrew D Krahn; Mario Talajic; Lena Rivard; Stephen Chelko; Stefan L Zimmerman; Ihab R Kamel; Jane E Crosson; Daniel P Judge; Sing-Chien Yap; Jeroen F Van der Heijden; Harikrishna Tandri; Jan D H Jongbloed; J Peter van Tintelen; Pyotr G Platonov; Firat Duru; Kristina H Haugaa; Paul Khairy; Richard N W Hauer; Hugh Calkins; Anneline S J M Te Riele; Cynthia A James
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-12-09

8.  Long-Term Outcomes Among a Nationwide Cohort of Patients Using an Implantable Cardioverter-Defibrillator: UMBRELLA Study Final Results.

Authors:  Sem Briongos-Figuero; Arcadio García-Alberola; Jerónimo Rubio; José María Segura; Aníbal Rodríguez; Rafael Peinado; Javier Alzueta; José B Martínez-Ferrer; Xavier Viñolas; Joaquín Fernández de la Concha; Ignasi Anguera; María Martín; Laia Cerdá; Luisa Pérez
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9.  Impact of Exercise Restriction on Arrhythmic Risk Among Patients With Arrhythmogenic Right Ventricular Cardiomyopathy.

Authors:  Weijia Wang; Gabriela Orgeron; Crystal Tichnell; Brittney Murray; Jane Crosson; Oliver Monfredi; Julia Cadrin-Tourigny; Harikrishna Tandri; Hugh Calkins; Cynthia A James
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10.  Subcutaneous Implantable Cardioverter-Defibrillator in Patients With Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia: A Transatlantic Experience.

Authors:  Gabriela M Orgeron; Aditya Bhonsale; Federico Migliore; Cynthia A James; Crystal Tichnell; Brittney Murray; Emanuele Bertaglia; Julia Cadrin-Tourigny; Pietro De Franceschi; Jane Crosson; Harikrishna Tandri; Domenico Corrado; Hugh Calkins
Journal:  J Am Heart Assoc       Date:  2018-11-06       Impact factor: 5.501

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