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Record W4304943960 · doi:10.1016/j.cjca.2022.10.006

Notable Pacemaker Shift in the Sinoatrial Node After Administration of Isoproterenol

2022· article· en· W4304943960 on OpenAlexvenueno aff
Kohei Iwasa, Masato Okada, Koji Tanaka, Yuko Hirao, Shinichi Harada, Naoko Miyazaki, Nobuaki Tanaka

Bibliographic record

VenueCanadian Journal of Cardiology · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSinoatrial nodeAtrial fibrillationCardiologyAblationInternal medicineCatheter ablationAtrial flutterCrista terminalisPulmonary veinJunctional rhythmSinus rhythmSuperior vena cavaCatheterSurgeryHeart rate

Abstract

fetched live from OpenAlex

A 63-year-old woman underwent a redo catheter ablation for recurrent atrial fibrillation (AF) after an initial cryoballoon ablation. After confirming the electrical isolation of 4 pulmonary veins, empiric superior vena cava (SVC) isolation was performed without documenting AF triggers. A 20-pole PentaRay NAV catheter (Biosense Webster, Diamond Bar, CA) was used to create an activation map during sinus rhythm to identify the anatomic location of the sinoatrial node (SAN). The earliest atrial activation site (EAS) at baseline was the basal lateral wall of the right atrial appendage (Fig. 1A). Notably, the EAS shifted to a more anterior-superior location from baseline after administration of isoproterenol (0.02 μg/kg/minute) (Fig. 1B). The distance between the 2 EASs was 21.2 mm (Fig. 1C), and the SVC was successfully isolated 10 mm above the superior EAS without any complications. SVC isolation is an important adjunctive ablation strategy but can potentially injure the SAN.1Chen G. Dong J.Z. Liu X.P. et al.Sinus node injury as a result of superior vena cava isolation during catheter ablation for atrial fibrillation and atrial flutter.Pacing Clin Electrophysiol. 2011; 34: 163-170Crossref PubMed Scopus (37) Google Scholar The physiology of SAN is quite complex and is still under investigation. A diverse population of pacemaking cells operating in synchrony with their neighbors is one hypothesis.2Michaels D.C. Matyas E.P. Jalife J. Mechanisms of sinoatrial pacemaker synchronization: a new hypothesis.Circ Res. 1987; 61: 704-714Crossref PubMed Scopus (207) Google Scholar The presence of 2 distinct leading pacemaker cells—the superior SAN (sSAN) and inferior SAN (iSAN)—controlling the surrounding tissues is the other hypothesis.3Brennan J.A. Chen Q. Gams A. et al.Evidence of superior and inferior sinoatrial nodes in the mammalian heart.JACC Clin Electrophysiol. 2020; 6: 1827-1840Crossref PubMed Scopus (37) Google Scholar In the current case, we identified the 2 distinct EASs at baseline and after administration of isoproterenol, which might correspond to the pacemaker shift from the iSAN to sSAN. Identification of the sSAN is crucial for avoiding any unexpected injury to the SAN.4Hayashi T. Mizukami A. Kuroda S. et al.Sinus node dysfunction characterized by reduction only in maximum heart rate during exercise after superior vena cava isolation in atrial fibrillation catheter ablation-A potential complication.HeartRhythm Case Rep. 2020; 6: 206-209Abstract Full Text Full Text PDF PubMed Scopus (2) Google Scholar No funding was received for this article.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.250
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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