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Record W4414148440 · doi:10.1016/j.jaccas.2025.105140

Treating Incessant Tachyarrhythmia-Induced Cardiogenic Shock With Emergent Atrioventricular Node Ablation

2025· article· en· W4414148440 on OpenAlexaff
Hafez Golzarian, Hytham Rashid, Rajendra Shah, A. Rhodes, ZAINAB SHAKIR, Karthik Vadamalai, Aakash Shah, Saumya Sharma

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsHumber Polytechnic
Fundersnot available
KeywordsCardiogenic shockAblationRefractory (planetary science)Critically illAtrioventricular nodeIntervention (counseling)Shock (circulatory)

Abstract

fetched live from OpenAlex

BACKGROUND: Tachycardia-induced cardiogenic shock (TICS) is a life-threatening condition requiring prompt intervention. CASE SUMMARY: An elderly patient with chronic atrial fibrillation and multiple comorbidities developed refractory cardiogenic shock secondary to rapid ventricular rate. Initial management with antiarrhythmics, electrical cardioversion, and vasopressors failed to restore hemodynamic stability. Emergent atrioventricular node ablation (AVNA) with temporary biventricular pacemaker implantation was performed, resulting in immediate heart rate control and subsequent hemodynamic stabilization and heart failure recovery. DISCUSSION: This case highlights a rare mechanism of cardiogenic shock predominantly driven by diastolic dysfunction secondary to rapid atrial fibrillation. It also demonstrates the potential of emergent AVNA to serve as a life-saving strategy in critically ill patients with refractory TICS. TAKE-HOME MESSAGE: Emergent AVNA can be a life-saving intervention for critically ill patients experiencing refractory TICS.

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 score0.109
Threshold uncertainty score0.905

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 head0.009
GPT teacher head0.273
Teacher spread0.263 · 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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