Abstract 4339399: Incidence and predictors of Monomorphic Ventricular Tachycardia in Three Major Subcutaneous ICD Trials

Background: The subcutaneous ICD (S-ICD) is currently contraindicated for patients (pts) who have monomorphic ventricular tachycardia (MVT) that can be terminated by anti-tachycardia pacing (ATP). Discriminating S-ICD pts who subsequently present with MVT can help identify those who would benefit from a transvenous ICD or upgrade to an investigational, modular leadless pacemaker/S-ICD system to deliver anti-tachycardia pacing. Objective: Identification of burden and determinants of MVT in S-ICD recipients. Methods: Pooled data from 3 S-ICD studies: EFFORTLESS (N=994), S-ICD PAS (N=1643), and UNTOUCHED (N=1116) were analyzed. All MVT episodes of all cycle lengths (treated with ≥1 shock and untreated: self-terminated or rate<programming prior to shock) were considered. Predictors of MVT were identified using stepwise selection (α=20). Kaplan-Meier analysis was employed to assess MVT risk by significant predictors. Results: A total of 3753 pts was followed for 3.6 years (median). Of these, 549 (14.6%) experienced >1 MVT episode (table). Age was 54±15 years, 80% male, 77% primary prevention, and EF 32±15%. Of these 549 pts, 373 pts experienced ≥2 episodes, with median time between 1 st and 2 nd episode 102 (interquartile range 6,391) days. The 5-year rate of experiencing MVT was 20% with shock therapy in 11% (fig1). A total of 298 pts (7.9%) experienced ≥1 shock in 804 episodes, 7% pts had ≥1 shocks for fast MVT (>200bpm), and 52 pts (1.4%) experienced 67 storms (≥3 episodes/24 hours). S-ICD extraction due to the need for ATP pacing was reported for only 10 (0.3%) patients While several baseline variables were identified as a risk of MVT, the multivariable predictor model indicated that pts who experienced MVT were more likely to have a lower ejection fraction and less likely to have diabetes (fig2). Risk of MVT across EF quartiles differed by ≤4.1% with EF 30-35% having the most events and presence of diabetes differed by ≤2.1%, respectively, across all time points. Conclusions: Over 5 years, 11% of S-ICD patients from EFFORTLESS, S-ICD PAS, and UNTOUCHED studies experienced shock therapy for MVTs, and 20% of patients had MVT (treated and untreated). Conversion rate to TV-ICD for ATP was low. Surprisingly, many of the expected risk factors for MVT were not predictive of MVT, which may be in part due to proper exclusion of patients with a MVT in S-ICD studies. Further detailed analysis of univariable predictor and MVT features could help inform device prescription.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4339399
Primary Topic
Cardiac Arrhythmias and Treatments
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article
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article

Abstract 4339399: Incidence and predictors of Monomorphic Ventricular Tachycardia in Three Major Subcutaneous ICD Trials

Lars Eckardt, Michael R. Gold, Bradley P. Knight, Mikhael F. El‐Chami et al.
Circulation
Cardiac Arrhythmias and Treatments
article

Abstract 4339399: Incidence and predictors of Monomorphic Ventricular Tachycardia in Three Major Subcutaneous ICD Trials

Lars Eckardt, Michael R. Gold, Bradley P. Knight, Mikhael F. El‐Chami, Pier D. Lambiase, Ulrika Birgersdotter‐Green, Amy Brisben, Stefano Viani, Reinoud E. Knops, Lucas V.A. Boersma, Andrea M. Russo, Christelle Marquié, M Duffy
article en

Abstract

Background: The subcutaneous ICD (S-ICD) is currently contraindicated for patients (pts) who have monomorphic ventricular tachycardia (MVT) that can be terminated by anti-tachycardia pacing (ATP). Discriminating S-ICD pts who subsequently present with MVT can help identify those who would benefit from a transvenous ICD or upgrade to an investigational, modular leadless pacemaker/S-ICD system to deliver anti-tachycardia pacing. Objective: Identification of burden and determinants of MVT in S-ICD recipients. Methods: Pooled data from 3 S-ICD studies: EFFORTLESS (N=994), S-ICD PAS (N=1643), and UNTOUCHED (N=1116) were analyzed. All MVT episodes of all cycle lengths (treated with ≥1 shock and untreated: self-terminated or rate<programming prior to shock) were considered. Predictors of MVT were identified using stepwise selection (α=20). Kaplan-Meier analysis was employed to assess MVT risk by significant predictors. Results: A total of 3753 pts was followed for 3.6 years (median). Of these, 549 (14.6%) experienced >1 MVT episode (table). Age was 54±15 years, 80% male, 77% primary prevention, and EF 32±15%. Of these 549 pts, 373 pts experienced ≥2 episodes, with median time between 1 st and 2 nd episode 102 (interquartile range 6,391) days. The 5-year rate of experiencing MVT was 20% with shock therapy in 11% (fig1). A total of 298 pts (7.9%) experienced ≥1 shock in 804 episodes, 7% pts had ≥1 shocks for fast MVT (>200bpm), and 52 pts (1.4%) experienced 67 storms (≥3 episodes/24 hours). S-ICD extraction due to the need for ATP pacing was reported for only 10 (0.3%) patients While several baseline variables were identified as a risk of MVT, the multivariable predictor model indicated that pts who experienced MVT were more likely to have a lower ejection fraction and less likely to have diabetes (fig2). Risk of MVT across EF quartiles differed by ≤4.1% with EF 30-35% having the most events and presence of diabetes differed by ≤2.1%, respectively, across all time points. Conclusions: Over 5 years, 11% of S-ICD patients from EFFORTLESS, S-ICD PAS, and UNTOUCHED studies experienced shock therapy for MVTs, and 20% of patients had MVT (treated and untreated). Conversion rate to TV-ICD for ATP was low. Surprisingly, many of the expected risk factors for MVT were not predictive of MVT, which may be in part due to proper exclusion of patients with a MVT in S-ICD studies. Further detailed analysis of univariable predictor and MVT features could help inform device prescription.

CirculationVol. 152(Suppl_3)
Northwestern University (US), Emory University (US), Medical University of South Carolina (US), University of Münster (DE), UC San Diego Health System (US), Boston Scientific (United States) (US), Centre Hospitalier Universitaire de Lille (FR), St. Antonius Ziekenhuis (NL), University College Hospital at Westmoreland Street (GB), Amsterdam University Medical Centers (NL), Cooper University Health Care (US), Azienda Ospedaliera Universitaria Pisana (IT), University College London (GB)
Openalex Percentile: Top 50%
Cardiac Arrhythmias and Treatments
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