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Record W4412747574 · doi:10.1016/j.jaccas.2025.104207

Early Failure of Subcutaneous ICD in a Patient With a Variant of Rapidly Progressive ARVC

2025· article· en· W4412747574 on OpenAlexaff
Alexandre Cinq‐Mars, Fiorella Salerno, Christian Steinberg, Jérôme Garot, Suzanne Duhamel, Mina Ait Saïd, Jérôme Horvilleur, Jérôme Lacotte, Salem Younsi, Laurent Fiorina

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineCardiologyInternal medicinePediatricsIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: A subcutaneous implantable cardioverter defibrillator (S-ICD) is a validated alternative to a transvenous ICD for patients without pacing indications. However, limited data exist regarding its safety and efficacy in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC). CASE SUMMARY: A 21-year-old man was referred after a syncope during a sport event. A 12-lead electrocardiogram showed repolarization abnormalities, and cardiac magnetic resonance demonstrated right ventricular dilatation, biventricular dysfunction, and fibrosis compatible with a diagnosis of ARVC. An S-ICD was implanted after successful preimplant screening. Genetic testing identified a known pathogenic plakophilin-2 variant. The patient received an S-ICD. At 18 months, lead noise, undersensing, and oversensing occurred because of reduced QRS amplitude. Imaging confirmed disease progression. The S-ICD was explanted and replaced by a transvenous ICD. The patient was referred for heart transplant evaluation. DISCUSSION: Our case represents a phenotype variant of ARVC with failure of the S-ICD system due to a temporal change in QRS amplitude over a short period of time. Advanced discrimination algorithms on the S-ICD may not be sufficient to prevent device failure. Cardiac magnetic resonance and genetic testing could eventually play a major role in the selection of a device in patients with ARVC. TAKE-HOME MESSAGE: This case illustrates S-ICD failure associated with rapidly progressive ARVC, underscoring the need for close follow-up and tailored device selection in this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.226
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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