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Transcatheter or Surgical Aortic Valve Replacement in Patients With Severe Aortic Stenosis and Small Aortic Annulus: A Randomized Clinical Trial

2023· article· en· W4387966592 on OpenAlexaff
Josep Rodés‐Cabau, Henrique Barbosa Ribeiro, Siamak Mohammadi, Talal Al‐Atassi, Andrés Íñiguez, Victòria Vilalta, Luis Nombela‐Franco, José Ignacio Sáez de Ibarra Sánchez, Vincent Auffret, Jessica Forcillo, Lenard Conradi, Marina Ureña, César Morı́s, Antonio J. Muñoz-García, Jean‐Michel Paradis, Éric Dumont, Dimitri Kalavrouziotis, Pablo Maria Alberto Pomerantzeff, Vitor Emer Egypto Rosa, Mariana Pezzute Lopes, C. Sureda, Víctor Alfonso Jiménez Díaz, Carlos Giuliani, Marisa Avvedimento, Émilie Pelletier-Beaumont, Philippe Pîbarot

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversity of Ottawa
Fundersnot available
KeywordsMedicineStenosisCardiac skeletonAortic valve replacementCardiologyAortic valveInternal medicineAortic valve stenosisRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The optimal treatment in patients with severe aortic stenosis and small aortic annulus (SAA) remains to be determined. This study aimed to compare the hemodynamic and clinical outcomes between transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR) in patients with a SAA. METHODS: This prospective multicenter international randomized trial was performed in 15 university hospitals. Participants were 151 patients with severe aortic stenosis and SAA (mean diameter <23 mm) randomized (1:1) to TAVR (n=77) versus SAVR (n=74). The primary outcome was impaired valve hemodynamics (ie, severe prosthesis patient mismatch or moderate-severe aortic regurgitation) at 60 days as evaluated by Doppler echocardiography and analyzed in a central echocardiography core laboratory. Clinical events were secondary outcomes. RESULTS: The mean age of the participants was 75.5±5.1 years, with 140 (93%) women, a median Society of Thoracic Surgeons predicted risk of mortality of 2.50% (interquartile range, 1.67%–3.28%), and a median annulus diameter of 21.1 mm (interquartile range, 20.4–22.0 mm). There were no differences between groups in the rate of severe prosthesis patient mismatch (TAVR, 4 [5.6%]; SAVR, 7 [10.3%]; P =0.30) and moderate-severe aortic regurgitation (none in both groups). No differences were found between groups in mortality rate (TAVR, 1 [1.3%]; SAVR, 1 [1.4%]; P =1.00) and stroke (TAVR, 0; SAVR, 2 [2.7%]; P =0.24) at 30 days. After a median follow-up of 2 (interquartile range, 1–4) years, there were no differences between groups in mortality rate (TAVR, 7 [9.1%]; SAVR, 6 [8.1%]; P =0.89), stroke (TAVR, 3 [3.9%]; SAVR, 3 [4.1%]; P =0.95), and cardiac hospitalization (TAVR, 15 [19.5%]; SAVR, 15 [20.3%]; P =0.80). CONCLUSIONS: In patients with severe aortic stenosis and SAA (women in the majority), there was no evidence of superiority of contemporary TAVR versus SAVR in valve hemodynamic results. After a median follow-up of 2 years, there were no differences in clinical outcomes between groups. These findings suggest that the 2 therapies represent a valid alternative for treating patients with severe aortic stenosis and SAA, and treatment selection should likely be individualized according to baseline characteristics, additional anatomical risk factors, and patient preference. However, the results of this study should be interpreted with caution because of the limited sample size leading to an underpowered study, and need to be confirmed in future larger studies. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03383445.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.036
GPT teacher head0.347
Teacher spread0.311 · 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 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

Citations76
Published2023
Admission routes1
Has abstractyes

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