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Record W2329044533 · doi:10.4244/eijv10i2a40

Direct TAVI using a balloon-expandable system: a novel technique to eliminate pre-deployment balloon aortic valvuloplasty

2014· article· en· W2329044533 on OpenAlexaff
William R. Davies, Vinayak Bapat, Jane Hancock, Christopher P. Young, Simon Redwood, Martyn R. Thomas

Bibliographic record

VenueEuroIntervention · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineAortic valvuloplastyBalloonStenosisSurgeryAortic valveAortic valve replacementAortic valve stenosisCardiologyValve replacementInternal medicineRadiology

Abstract

fetched live from OpenAlex

AIMS: Transcatheter aortic valve implantation (TAVI) is now the therapy of choice for those patients with severe symptomatic aortic stenosis who are considered to be at too high risk for conventional surgery. Balloon aortic valvuloplasty (BAV) is routinely performed to allow placement of the balloon-expandable valve during the procedure. Instrumentation of the valve has been linked to procedural stroke risk, with the associated runs of rapid pacing risking haemodynamic compromise. We outline a novel technique to eliminate BAV prior to transcatheter valve placement. METHODS AND RESULTS: We illustrate a clinical case that outlines the problems encountered in transcatheter valve placement despite a prior BAV. The solution used in this case involved the partial inflation of the distal section of the balloon allowing easy passage of the SAPIEN XT valve from the transaortic route. After bench testing, we report a series of patients who have undergone this "direct TAVI" procedure from both the transaortic and the transfemoral routes. CONCLUSIONS: In a limited series within a single centre, "direct TAVI" has been shown to be effective in allowing accurate placement of a balloon-expandable device without the need for prior BAV.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.325
Teacher spread0.307 · 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.

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

Citations14
Published2014
Admission routes1
Has abstractyes

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