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Record W2078339684 · doi:10.1055/s-0029-1240626

Hemodynamic Performance of Mitroflow Aortic Pericardial Bioprosthesis – Optimizing Management for the Small Aortic Annulus

2010· article· en· W2078339684 on OpenAlexaff
W. Jamieson, W. Forgie, Robert Hayden, Yves Langlois, HZ Ling, E. Stanford, Kari E. Roberts, William B. Dolman

Bibliographic record

VenueThe Thoracic and Cardiovascular Surgeon · 2010
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSaint John Regional HospitalDalhousie UniversityMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicineCardiac skeletonHemodynamicsCardiologyBody orificeAortic valveInternal medicineProsthesisAortic valve replacementPericardiumAnnulus (botany)SurgeryStenosisAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Documentation of the hemodynamics of the Mitroflow aortic pericardial bioprosthesis has been incomplete. The aim of the study was to provide reference effective orifice areas for the implant calculation of effective orifice area indexes to avoid prosthesis-patient mismatch. METHODS: Echocardiograms were evaluated in 55 patients (39 females, 16 males), mean age 77.0 +/- 6.9 years (range 51-90 years). The mean time of the studies was 11.0 months. The prosthesis sizes and numbers evaluated were 19 mm (n = 13), 21 mm (n = 19), 23 mm (n = 13) and 25 mm (n = 10). RESULTS: Peak aortic velocities averaged from 2.2 to 2.7 m/sec, mean gradients from 10.6 to 15.1 mmHg, peak gradients from 20.7 to 29.7 mmHg, and effective orifice area (EOA) from 1.4 to 1.8 cm (2). When accounting for the subaortic velocity, mean gradients averaged from 7.5 to 10.0 mmHg, and peak gradients averaged 15.1 to 23.5 mmHg. The effective orifice area indexes ranged from 0.8 to 1.0 cm (2)/m (2). The mean postoperative left ventricular mass index was 101.6 gm/m (2). CONCLUSIONS: The IN VIVO effective orifice areas by valve size of the Mitroflow aortic pericardial bioprosthesis provide the opportunity of avoiding obstructive characteristics for all valve sizes, including optimizing the management of the small aortic annulus.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.518

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
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)0.0000.000

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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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 teacher head, 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

Citations25
Published2010
Admission routes1
Has abstractyes

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