MétaCan
Menu
← Back to cohort

Myocardial injury after transcatheter aortic valve replacement according to VARC-3 criteria

2023· article· en· W4388601041 on OpenAlexaffabout
Carlos Real, Marisa Avvedimento, Jorge Nuche, Anna Franzone, Julio I. Farjat‐Pasos, Kim Hoang Trinh, Robert DeLarochellière, Jean‐Michel Paradis, Anthony Poulin, Éric Dumont, Dimitri Kalavrouziotis, Siamak Mohammadi, S.A. Mengi, Giovanni Esposito, Josep Rodés‐Cabau

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineValve replacementCardiologyInternal medicineRetrospective cohort studyTroponinIncidence (geometry)BiomarkerMyocardial infarctionStenosis

Abstract

fetched live from OpenAlex

Abstract Background Periprocedural myocardial injury (PPMI) is frequent in patients undergoing transcatheter aortic valve replacement (TAVR). PPMI after TAVR as defined by Valve Academic Research Consortium-2 (VARC-2) criteria occurs in >50% of the patients and had inconsistent results regarding prognostic significance. However, recent VARC-3 definition is more specific, having increased the troponin threshold from 15-times to 70-times the upper reference limit (URL) to define PPMI. This recent definition of PPMI following TAVR lacks the clinical validation. Objective To determine the incidence, predictors and clinical impact of PPMI following TAVR as defined by recent VARC-3 criteria. Methods We included 1,394 consecutive patients who underwent TAVR with a new generation transcatheter heart valve in two tertiary centers in Canada and Italy, from 2015 to 2022. Patients undergoing a trans-aortic or a trans-apical approach were excluded. High-sensitivity troponin levels were assessed at baseline and within 24 hours after the procedure. PPMI was defined according to VARC-3 criteria as an increase ≥70 times in troponin levels (vs. ≥15 times according to VARC-2 definition). Baseline, procedural and follow-up data were prospectively collected in a dedicated database. Results PPMI was diagnosed in 193 patients (14%) according to the VARC-3 criteria. Female sex and peripheral artery disease were found independent predictors of PPMI in the multivariable analysis (p<0.01 for both). PPMI was associated with a higher risk of mortality at 30-day (HR: 2.76, 95% CI: 1.54-4.95, p=0.001 for all-cause mortality; HR: 9.54, 95%CI: 2.69 to 33.80, p<0.001 for cardiovascular mortality) and 1-year-follow-up (HR: 1.52, 95%CI: 1.02-2.27, p=0.037 for all-cause mortality; HR: 3.04, 95%CI: 1.68-5.50, p<0.001 for cardiovascular mortality). PPMI according to VARC-2 criteria had no impact on mortality (Figure 1). According to restricted cubic splines analysis, the minimal threshold at which high-sensitivity troponin elevation is significantly associated with 1-year all-cause mortality is an 82-fold increase above URL (Figure 2). Conclusions About 1 out of 10 patients undergoing TAVR in the contemporary era had PPMI as defined by recent VARC-3 criteria and it had a negative impact on early and late survival. Baseline factors as female gender and peripheral disease increased the risk. Further studies on the prevention of PPMI post-TAVR and implementing measures to improve outcomes in PPMI patients are warranted.Kaplan-Meier estimates of mortalityRestricted cubic splines analysis

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)0.001
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

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

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 head0.034
GPT teacher head0.375
Teacher spread0.341 · 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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueEuropean Heart Journal→Same topicCardiac Valve Diseases and Treatments→French-language works237,207→