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Record W4401697923 · doi:10.1161/jaha.123.031893

Natural Course of Electrocardiographic Features in Arrhythmogenic Right Ventricular Cardiomyopathy and Their Relation to Ventricular Arrhythmic Events

2024· article· en· W4401697923 on OpenAlexaff
Anneli Svensson, Henrik Kjærulf Jensen, Machteld Boonstra, Marianne Tétreault‐Langlois, Pia Dahlberg, Henning Bundgaard, Alex Hørby Christensen, Rebecca Rylance, Jesper Hastrup Svendsen, Julia Cadrin‐Tourigny, Anneline S.J.M. te Riele, Pyotr G. Platonov

Bibliographic record

VenueJournal of the American Heart Association · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversité de MontréalMontreal Heart Institute
FundersBiosense WebsterNorges ForskningsrådNordForskHjärt-LungfondenUniversitair Medisch Centrum UtrechtNovo NordiskZonMwForskningsrådet i Sydöstra Sverige
KeywordsMedicineCardiologyInternal medicineCardiomyopathyElectrocardiographyHeart failure

Abstract

fetched live from OpenAlex

Background Electrocardiographic abnormalities are common in arrhythmogenic right ventricular cardiomyopathy and are included in the 2010 Task Force Criteria. Their time course, however, remains uncertain. In this retrospective observational study, we aimed to assess the long‐term evolution of electrocardiographic characteristics and their relation to ventricular arrhythmias. Methods and Results Three hundred fifty‐three patients with arrhythmogenic right ventricular cardiomyopathy as per the 2010 Task Force Criteria with 6871 automatically processed 12‐lead digital ECGs were included. The relationship between the electrocardiographic parameters and the risk of ventricular arrhythmias was assessed at 10 years from the first ECG. Electrocardiographic parameters were compared between the first contact ECG, the ECG at diagnosis, and the most recent ECG. Median time between the first and the latest ECG was 6 [interquartile range, 1–14] years. Reductions of QRS voltage, R‐ and T‐wave amplitudes between the first, diagnostic, and the latest ECGs were observed across precordial and extremity leads. Mean QRS duration increased from 96 to 102 ms ( P <0.001), terminal activation duration (V 1 ) from 47 to 52 ms ( P <0.001), and QTc from 419 to 432 ms ( P <0.001). T‐wave inversions in leads V 3 to V 6 and aVF at first ECG were associated with ventricular arrhythmias (adjusted hazard ratio [HR adj ][V 3 ], 2.03 [95% CI, 1.23–3.34] and HR adj [aVF], 1.87 [95% CI, 1.13–3.08]). Conclusions Depolarization and repolarization parameters evolved over time in patients with arrhythmogenic right ventricular cardiomyopathy, supporting the progressive nature of arrhythmogenic right ventricular cardiomyopathy. Electrocardiographic abnormalities may be detected before diagnosis and might, although not fulfilling the 2010 Task Force Criteria, be markers of early disease. T‐wave inversion in leads V 3 or aVF before diagnosis was associated with ventricular arrhythmias during follow‐up.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.002
GPT teacher head0.232
Teacher spread0.230 · 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 designObservational
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

Citations2
Published2024
Admission routes1
Has abstractyes

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