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153 Ventricular pacing along individual branches of the coronary sinus using a quadripolar LV pacing lead

2011· article· en· W2170321887 on OpenAlexaff
Anoop Shetty, Puja R. Mehta, Stephen Duckett, Julian Bostock, Matthew Ginks, S. Hamid, Manav Sohal, Reza Razavi, Yuqian Ma, Kawal Rhode, Aruna Arujuna, Christopher A. Rinaldi

Bibliographic record

VenueHeart · 2011
Typearticle
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsCoronary sinusMedicineLead (geology)CardiologyInternal medicineHemodynamicsCoronary VeinImplantCardiac pacingSurgery

Abstract

fetched live from OpenAlex

Introduction Cardiac resynchronisation therapy (CRT) usually involves placing the left ventricular (LV) pacing lead in the postero-lateral or lateral region of the LV epicardial surface as this is thought likely to re-coordinate myocardial contraction most effectively. The LV lead is standardly placed in a position with the best pacing parameters and satisfactory stability. It is not known, however, whether there is a significant difference in haemodynamic response to LV pacing in different regions of the same coronary sinus (CS) vein. In this study we aimed to evaluate the difference in acute haemodynamic response to pacing along individual branches of the CS. Methods 16 patients underwent an acute haemodynamic study during their CRT-defibrillator implant. We used a high fidelity pressure wire to assess the acute haemodynamic response (AHR) to pacing in different branches of the coronary sinus. We used a novel quadripolar lead (Quartet, St Jude Medical, Sylmar, California, USA) that has four poles on the LV lead―distal tip and 3 ring electrodes. The 3 ring electrodes are spaced 20 mm, 30 mm and 47 mm from the distal tip electrode and the four poles allow bipolar pacing between them. It was thus possible for us to test pacing parameters and AHR along a significant proportion of a CS branch without having to reposition the LV lead. Results DDDLV pacing was attempted in as many different CS branches as possible in each patient (total 56 different positions used). The mean overall percentage difference in AHR (measured by change in +dP/dt compared to baseline AAI pacing or VVI pacing in AF patients) between an individual CS branch bipole with the lowest +dP/dt and that with the highest was 6.6±5.6%. Much larger differences in change in +dP/dt were seen, however, between different branches of the CS in the same patient with a mean difference in change in +dP/dt in the best CS vein compared to the worst CS vein of 16.7±6.3%. Although the difference in AHR seen between different bipoles within the same vein were not large, we did find that in some cases no pacing capture was found with one bipole but was found with another. Furthermore, differences in whether phrenic nerve stimulation (PNS) occurred were seen when using different LV lead bipoles within the same branch of the CS. Conclusion Our data suggest that only a small difference in AHR is seen when pacing along the same branch of the CS compared to pacing within different branches of the CS within the same patient. This means that although the site of LV lead placement is important, a proximal or distal position within a CS branch is much less important than choosing the right branch in terms of acute haemodynamic response. A choice of bipoles on the LV lead may mean, however, that problems with capture thresholds or PNS can be overcome without the need to reposition the LV lead.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.085
GPT teacher head0.286
Teacher spread0.201 · 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".

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Citations0
Published2011
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