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Record W2613008283 · doi:10.1002/ccd.27154

Effect of valve design and anticoagulation strategy on 30‐day clinical outcomes in transcatheter aortic valve replacement: Results from the BRAVO 3 randomized trial

2017· article· en· W2613008283 on OpenAlexaff
Axel Linke, Jaya Chandrasekhar, Samantha Sartori, Thierry Lefèvre, Éric Van Belle, Ulrich Schäfer, Didier Tchétché, Gennaro Sardella, John G. Webb, Antonio Colombo, Stephan Windecker, Birgit Vogel, Serdar Farhan, Sabato Sorrentino, Madhav Sharma, Clayton Snyder, Anita Asgar, Nicolas Dumonteil, Corrado Tamburino, Ulrich Hink, Roberto Violini, Pieter R. Stella, Debra Bernstein, Efthymios Deliargyris, Christian Hengstenberg, Usman Baber, Roxana Mehran, Prodromos Anthopoulos, George Dangas

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMontreal Heart InstituteSt. Paul's Hospital
FundersMedicines Company
KeywordsMedicineBivalirudinValve replacementAnticoagulantRandomized controlled trialCardiologyInternal medicineSurgeryAortic valveMyocardial infarctionPercutaneous coronary interventionStenosis

Abstract

fetched live from OpenAlex

BACKGROUND: Selection of valve type and procedural anticoagulant may impact bleeding and vascular complications in transfemoral transcatheter aortic valve replacement (TAVR). We sought to compare outcomes by valve [balloon expandable (BE) or non-BE] and anticoagulant [bivalirudin vs. unfractionated heparin (UFH)] type from the BRAVO-3 trial. METHODS: BRAVO-3 was a randomized multicenter trial including 500 BE-TAVR and 282 non-BE TAVR patients, randomized to bivalirudin versus UFH. Selection of valve type was at the discretion of the operator but randomization was stratified according to valve type. Total follow up was to 30 days. We examined the incidence of Bleeding Academic Research Consortium type ≥3b bleeding, major vascular complications and all ischemic outcomes at 30-days. Outcomes were adjusted using logistic regression analysis. RESULTS: Of the trial cohort, 63.9% were treated with BE valves (n = 251 bivalirudin vs. n = 249 UFH) and 36.1% with non-BE valves (n = 140 bivalirudin vs. n = 142 UFH). Patients treated with non-BE valves were older, with higher euroSCORE I. At 30 days, there were nonsignificant differences between the two valve types for adjusted risk of all-cause death (HR 2.07, 95% CI 0.91-4.70, P = 0.084) and major vascular complications (HR 1.78, 95% CI 0.97-3.26, P = 0.062) with non-BE compared with BE valves, but all other outcomes were similar. A significant interaction was observed between valve and anticoagulant type, with lower risk of major vascular complications with bivalirudin compared with UFH in non-BE TAVR (P-interaction = 0.039). CONCLUSIONS: Majority of patients in the BRAVO 3 trial received BE valves. At 30-days, adjusted risk of clinical outcomes was similar with non-BE vs. BE valves. A significant interaction was observed between valve type and procedural anticoagulant for lower risk of major vascular complications with bivalirudin versus UFH in non-BE TAVR.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.010
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 head0.053
GPT teacher head0.393
Teacher spread0.340 · 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 designRandomized trial
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

Citations7
Published2017
Admission routes1
Has abstractyes

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