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Abstract 10337: Early Adaptation of the Mitral Valve After St-Elevation Myocardial Infarction

2022· article· en· W4380793615 on OpenAlexaffabout
Isabelle Senechal Dumais, Valérie Deschênes, Ons Marsit, Sandra Hadjadj, Marie‐Annick Clavel, Philippe Pîbarot, Rebecca Bucknell, Andreanne Vallerand, Mark D. Handschumacher, Robert A. Levine, Jonathan Beaudoin

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecMontreal Heart InstituteUniversité Laval
Fundersnot available
KeywordsMedicineCardiologyInternal medicineEjection fractionMyocardial infarctionMitral regurgitationMitral valveRegurgitant fractionVentricular remodelingStroke volumeHeart failure

Abstract

fetched live from OpenAlex

Introduction: Ischemic mitral regurgitation (IMR) is associated with worse outcomes and higher mortality after myocardial infarction (MI). Clinical observations and experimental data have shown that mitral valve leaflets have the potential to enlarge over time to compensate left ventricular remodeling and prevent IMR. Previous animal studies have demonstrated that MI is associated with fibrotic changes in the mitral valve leaflets and prevent this adaptive compensation. However, the timing of mitral valve geometric changes are not well described. While previous data shows an increase in leaflet size at 6 and 12 months after MI, its short-term evolution after an ischemic event is not well documented. Methods: Twenty-two patients with ST-elevation myocardial infarction and initial left ventricular ejection fraction ≤ 45% were enrolled in Quebec Heart and Lung Institute. Participants had 3D transthoracic echocardiography (TTE) at baseline and 3 months, as well as cardiac magnetic resonance (CMR) at 3-month follow-up. Mitral valve leaflet size was measured from the 3D TTE using a custom software (Omni4D). CMR was used to derive left ventricular volumes, function and mitral regurgitant volume. Significant IMR was defined as a mitral regurgitant fraction ≥ 15% derived from the 3-month CMR. Results: Twenty-one of the 22 patients completed the imaging follow-up. Left ventricular ejection fraction at 3 months was 53 ± 10% (range from 37 to 69%). Eight patients (38%) had mild IMR at 3 months. Mitral valve surface area was significantly increased at 3 months compared with baseline for patients without IMR (10.96 ± 1.78 cm 2 vs 9.51 ± 1.62 cm 2 ; p = 0.001). Valve enlargement vs baseline was significantly greater in patients without IMR (+17 ± 13% vs -5 ± 4% for those with IMR at follow-up, p=0.0007). Conclusions: Mitral valvular surface increases within the first few months after MI, but not in all patients. Adequate valve enlargement seems related to the absence of IMR at 3 months.

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)0.000
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.016
GPT teacher head0.280
Teacher spread0.264 · 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
Published2022
Admission routes2
Has abstractyes

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