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Record W4407720448 · doi:10.1093/eurheartj/ehaf076

Sex-related differences in prosthesis-patient mismatch after surgical aortic valve replacement and long-term outcomes

2025· article· en· W4407720448 on OpenAlexafffundabout
Paolo Springhetti, Kathia Abdoun, Éric Dumont, François Dagenais, Dimitri Kalavrouziotis, Siamak Mohammadi, Philippe Pîbarot, Marie‐Annick Clavel

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
FundersCanadian Institutes of Health Research
KeywordsMedicineHazard ratioAortic valve replacementPerioperativeCohortProsthesisClinical endpointInternal medicineIncidence (geometry)Cohort studyCardiologySurgeryConfidence intervalStenosisClinical trial

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Prosthesis-patient mismatch (PPM) is associated with dismal prognosis after aortic valve replacement (AVR). Sex differences in PPM outcomes remain poorly explored. Therefore, this study aims to evaluate sex-specific impact in PPM after surgical AVR. METHODS: Between 2000 and 2021, 7319 patients underwent surgical AVR at the Institut Universitaire de Cardiologie et de Pneumologie de Québec. Prosthesis-patient mismatch was defined by using the indexed effective orifice area (EOAi) and by applying the Valve Academic Research Consortium-3 (VARC-3) criteria. The cohort was followed up prospectively from surgical AVR until November 2023. The primary endpoint was defined as long-term mortality and the secondary endpoint as long-term cardiovascular (CV) and perioperative mortality. Mortality was established and CV mortality was adjudicated by Quebec national database. RESULTS: Any-degree PPM resulted more prevalent in women than in men (31.9% vs. 19.7%, P < .0001) with rare incidence of severe PPM (2.4% vs. 0.6%, P < .0001) according to VARC-3 definition. Over a median follow-up of 12.6 years, there were 3231 (44.1%) all-cause deaths, with 1238 (16.9%) from CV causes. Prosthesis-patient mismatch was associated with all-cause mortality (hazard ratio 1.30, 95% CI 1.20-1.40; P < .0001) and CV mortality (hazard ratio 1.39, 95% CI 1.23-1.57; P < .0001) in the whole cohort without interaction between sexes (P ≥ .74). After comprehensive multivariable adjustment, VARC-3 PPM remained independently associated with outcome only in women (P ≤ .04). Adapting PPM definition according to spline-derived EOAi thresholds disaggregated by sex, PPM was independently associated with outcome in both sexes (P ≤ .04). CONCLUSIONS: Sex-specific EOAi thresholds associated with outcomes emerged in this large regional study. This finding suggests that PPM definition in men may follow higher EOAi thresholds than in women.

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)0.003
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.328
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 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

Citations12
Published2025
Admission routes3
Has abstractyes

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