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Record W2317165204 · doi:10.1093/icvts/ivt372.68

068 * TWENTY-YEAR DURABILITY OF THE AORTIC HANCOCK II BIOPROSTHESIS IN YOUNG PATIENTS: IS IT DURABLE ENOUGH?

2013· article· en· W2317165204 on OpenAlexaff
Susan Armstrong, Marc Ruel, Tirone E. David

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2013
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsMedicineDurabilitySurgeryAortic valveCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Objectives: The Hancock II bioprosthesis has been reported to have excellent durability in patients ≥60 years of age. This study examined the long-term durability of the Hancock II bioprosthesis in the aortic position, in patients <60 years of age. Methods: From 1982 to 2008, 304 patients aged 59 years or less underwent aortic valve replacement (AVR) with a Hancock II bioprosthesis at two centres. Valve function was longitudinally assessed by echocardiography. Median follow-up was 14.6 years (maximum 27.5 years). Survival and freedom from adverse events were calculated by using the Kaplan-Meier method. Independent predictors of structural valve deterioration (SVD) were assessed with the Cox hazard regression method. Results: Survival and freedom from repeat AVR at 20 years were 57.0 ± 6.1% and 25.4 ± 4.7%, respectively. Over the follow-up duration, 100 patients (32.9%) underwent repeat AVR: 78 for SVD, 11 for endocarditis, 4 for nonstructural valve dysfunction, and 7 for other reasons. The 10- and 20-year freedom from SVD were 90.9 ± 2.1% and 25.2 ± 5.0%, respectively. The independent predictors of SVD were age (HR 0.97/year, 95% CI 0.95-0.99, P < 0.01) and prosthesis-patient mismatch (effective orifice area index ≤0.80 cm2/m2 [HR 1.60 95% CI 1.02-2.49, P = 0.039]). Conclusions: This study showed that the Hancock II bioprosthesis in AVR patients less than 60 years of age is associated with excellent durability during the first decade of follow-up. However, SVD increases dramatically during the second decade and by 20 years, especially in younger patients with prosthesis-patient mismatch. These findings may assist with prosthesis selection between patients and their surgeons.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.019
GPT teacher head0.258
Teacher spread0.239 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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