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Transcatheter Aortic Valve Replacement in Low-Risk Patients

2019· article· en· W3004690297 on OpenAlexaff
Gilbert H.L. Tang, Subodh Verma, Deepak L. Bhatt

Bibliographic record

VenueCirculation · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineCardiologyInternal medicineValve replacementAortic valveAortic valve replacementStenosis

Abstract

fetched live from OpenAlex

ranscatheter aortic valve replacement (TAVR) has become the preferred therapy over surgical aortic valve replacement (SAVR) in intermediate-or greaterrisk patients with symptomatic severe aortic stenosis (AS).Results from the 2 randomized trials comparing TAVR with SAVR in low-risk patients have been reported.1,2 The PARTNER 3 trial (The Safety and Effectiveness of the SAPIEN 3 Transcatheter Heart Valve in Low Risk Patients With Aortic Stenosis [P3]) that evaluated the Sapien 3 (S3) valve (Edwards Lifesciences LLC) showed superiority of TAVR over SAVR at 1 year in the primary composite outcome of mortality, stroke, and rehospitalization related to the procedure, valve, or heart failure (8.5% versus 15.1%, P=0.001).The Evolut Low Risk trial (Medtronic Evolut Transcatheter Aortic Valve Replacement in Low Risk Patients [ELR]) that evaluated the Evolut valve (Medtronic Inc) showed the noninferiority of TAVR versus SAVR in the 2-year primary composite end point of mortality or disabling stroke (5.3% versus 6.7%).The 2 trials had similar patient characteristics, with mean age 74 years and the Society of Thoracic Surgeons predicted risk of operative mortality score 1.9% in both groups (Table).At 1 year, mortality rates were 1.0% TAVR versus 2.5% SAVR, P=0.09 in P3, and 2.3% versus 3.0%, log-rank P=0.41 in ELR.Disabling stroke rates trended lower with TAVR than with SAVR (0.2% versus 0.9%, P=0.14 in P3; 0.7% versus 2.4%, log-rank P=0.024 in ELR).In ELR, although no significant difference was found in the primary outcome, the composite outcome of mortality, disabling stroke, or heart failure hospitalization at 1 year showed that TAVR was superior (5.6% versus 10.2%, P=0.002).3 Thus, both trials showed that TAVR was superior to SAVR for clinical outcomes, with remarkable concordance between the 2 trials.Although both TAVR valves were associated with similar rates of new left bundle-branch block, the 1-year permanent pacemaker implantation rate was lower with S3 than Evolut (7.3% versus 19.4%), with differences likely attributed to device design and operator variability.The incidence of mild or greater paravalvular leak associated with S3 or Evolut valves was not different at 1 year (30.0% and 37.5%, respectively).Both TAVR devices had similarly low incidence of coronary obstruction, valve thrombosis, and aortic valve reintervention.However, S3 had a higher incidence of severe prosthesis-patient mismatch than Evolut (8.3% versus 1.1%), likely because of valve design and sizing differences.This difference may be clinically important given the previously reported higher 1-year mortality and heart failure hospitalization in patients with severe mismatch after TAVR (mortality: 17.2% in severe versus 15.6% in moderate versus 15.9% in none, P=0.02).With TAVR showing superiority over SAVR, how should we select the ideal treatment of low-risk patients with symptomatic severe AS?We believe both trials share certain conclusions but also raise new questions.First, in low-risk patients, SAVR has excellent outcomes but is limited by more new-onset atrial fibrillation than TAVR (at 1 year: 40.9% versus 7.0% in P3; 38.3% versus 9.8% in ELR).

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.280
Teacher spread0.272 · 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".

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Citations31
Published2019
Admission routes1
Has abstractno

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