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Abstract 17749: Regionalization of Non-Pulmonary Vein Triggers for Atrial Fibrillation When the P Wave is Obscured Using Non-Invasive Electrocardiographic Imaging QRS-T Subtraction Algorithm

2023· article· en· W4389956816 on OpenAlexaff
Munveer Thind, Alireza Oraii, Masahiro Sekigawa, Qing Lou, Martín Ricardo Arceluz, Sara Ciaverelli, Erica S. Zado, Gustavo S. Guandalini, Timothy M. Markman, Rajat Deo, Robert D. Schaller, Saman Nazarian, Sanjay Dixit, Gregory E. Supple, David S. Frankel, Pasquale Santangeli, Andrew E. Epstein, David J. Callans, Matthew C. Hyman, Cory M. Tschabrunn, Francis E. Marchlinski

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicECG Monitoring and Analysis
Canadian institutionsMedtronic (Canada)
Fundersnot available
KeywordsMedicineQRS complexCardiologyAtrial fibrillationPulmonary veinInternal medicineAblationBeat (acoustics)SubtractionAcousticsPhysics

Abstract

fetched live from OpenAlex

Introduction: Ablation of non-pulmonary vein triggers (NPVTs) after pulmonary vein isolation (PVI) may reduce atrial fibrillation (AF) recurrence. Localizing a trigger which initiates AF after a single atrial ectopic beat is challenging, especially in the scenario when the trigger P wave is obscured by preceding QRS-T complex. Aim: To evaluate the potential for noninvasive electrocardiographic imaging (ECGi) to localize NPVTs when the P wave morphology is superimposed on the T wave of the previous beat. Methods: We developed an algorithm which overlays and subtracts the preceding QRS-T wave complex from the QRS-T wave complex which is obscuring the P wave of interest, thus revealing the P wave morphology (Figure 1A). Resultant unobscured P waves (from multiple body surface electrodes) are then used for ECGi computation. In five patients undergoing AF ablation, after PVI, we paced from 15 atrial sites where NPVTs commonly arise, and evaluated the epicardial activation maps generated by ECGi both when pacing was timed to ensure an unobscured P wave and when timed to coincide with preceding QRS-T complex. Co-registration of CT-based ECGi activation maps with invasive electroanatomic map (EAM) allowed comparison of the earliest activation site on ECGi map from both the obscured P waves after QRS-T subtraction and unobscured P waves with true pacing locations on EAM (Figure 1B). Results: From 146 pacing sites in our patient cohort, for the unobscured P waves, median distance between earliest site on ECGi map and EAM pacing location was 16 mm (10-21 mm), and for obscured P waves after QRS-T subtraction, median distance was also 16 mm (12-23 mm) (Figure 1C). Conclusion: Using a QRS-T subtraction algorithm, ECGi can approximate origin of paced P waves whether P wave is unobscured or obscured by the preceding QRS-T complex. Spontaneous NPVT P waves are commonly obscured by the QRS-T wave and the ability to rapidly localize an early coupled P wave may facilitate NPVT mapping and ablation.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.036
GPT teacher head0.296
Teacher spread0.260 · 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 designSimulation or modeling
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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