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Record W4416002847 · doi:10.1177/30494826251393909

Hemodynamic Comparison of Two Models of Bioprosthetic Mitral Valves Under Standardized In Vitro Conditions

2025· article· en· W4416002847 on OpenAlexaff
Kévin Delanoe, Marie‐Annick Clavel, Nancy Côté, Philippe Pibarot, Viktória Stanová

Bibliographic record

VenueJournal of the Heart Valve Society · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsHemodynamicsBody orificeMitral valve replacementMitral valveProsthesisCardiac outputHeart valveAortic valve

Abstract

fetched live from OpenAlex

Background and objectives Mitral valve replacement may be considered in patients with mitral valve disease when durable repair is not feasible. In recent decades, an important shift toward the use of bioprostheses for mitral valve replacement was observed and the surgical valve design has undergone several iterations to optimize the prosthesis hemodynamic performance. The objective of this study was to compare the hemodynamic performance of the stented porcine (EPIC Plus) versus the stented bovine pericardial (MITRIS) bioprostheses under standardized in vitro conditions. Methods Three MITRIS 27 mm and three EPIC Plus 29 mm, which are equivalent in terms of actual sizing (ie, fit into the same mitral annulus size of 38 mm), were tested in vitro in a double activation left heart duplicator system including anatomically shaped, deformable silicone moldings of left heart cavities and aorta. The valves were tested under several standardized hemodynamic conditions: heart rate: 70 and 120 bpm, mean aortic pressure: 100 and 160 mm Hg, stroke volume: 30, 70, and 100 mL. Mean mitral transprosthetic pressure gradients (mTPGs) and effective orifice areas (EOAs) were measured by continuous-wave Doppler and the geometric orifice areas (GOAs) were obtained using high speed, en-face, imaging. Results For normal heart rate (70 bpm) and normal mean aortic pressure (100 mm Hg), the mTPGs were similar (1.76 ± 0.10 vs 1.44 ± 0.09 mm Hg) in low-flow conditions, but lower ( P ≤ .001) in normal (2.48 ± 0.13 vs 3.72 ± 0.20 mm Hg) and high flow (4.12 ± 0.19 vs 5.82 ± 0.32 mm Hg) in MITRIS versus EPIC Plus valves. EOAs were larger in MITRIS versus EPIC Plus valves for all, except low flow, conditions (low: 1.75 ± 0.06 vs 1.87 ± 0.05, normal: 2.73 ± 0.09 vs 2.16 ± 0.12, and high flow: 3.02 ± 0.07 vs 2.54 ± 0.21 cm 2 , all P ≤ .001). GOAs were also larger in MITRIS versus EPIC Plus valves (low: 2.57 ± 0.07 vs 2.50 ± 0.08, normal: 3.07 ± 0.07 vs 2.87 ± 0.08, and high flow: 3.16 ± 0.07 vs 3.02 ± 0.10 cm 2 , all P ≤ .001). The two bioprosthetic valves had regurgitant fraction (RF) < 5% without statistical differences between flow conditions. Conclusions This study demonstrates excellent valve hemodynamic performance for these two types of mitral bioprosthetic valves. However, the overall hemodynamic performances were superior with the MITRIS valve compared to the EPIC Plus valve for all flow conditions.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.020
GPT teacher head0.390
Teacher spread0.370 · 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 designBench or experimental
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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Citations1
Published2025
Admission routes1
Has abstractyes

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