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Record W2316434611 · doi:10.1177/0218492313497950

Aortic valve replacement in over 70- and over 80-year olds: 5-year cohort study

2013· article· en· W2316434611 on OpenAlexaboutno aff
Tom Kai Ming Wang, Janarthanan Sathananthan, N. Chieng, Greg Gamble, David Haydock, Peter Ruygrok

Bibliographic record

VenueAsian Cardiovascular and Thoracic Annals · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCohortAortic valve replacementAortic valveCohort studyInternal medicineStenosis

Abstract

fetched live from OpenAlex

BACKGROUND: Demand for aortic valve intervention remains high, and together with the recent introduction of transcatheter aortic valve implantation, this motivates a review of surgical aortic valve replacement in elderly recipients. METHODS: Consecutive patients over 70 years of age having isolated aortic valve replacement during 2007-11 were retrospectively identified and divided into 70-79 and ≥ 80 years age groups for analyses. RESULTS: 62 octogenarians and 121 septuagenarians were eligible. Among octogenarians, a lower proportion were in Canadian Cardiovascular Society angina class 3-4 (3.2% vs. 14.0%, p = 0.022) and fewer had diabetes (11.3% vs. 24.8%, p = 0.034), but a higher proportion had infective endocarditis (6.5% vs. 0%, p = 0.012), and EuroSCORE II was higher (4.9% vs. 3.7%, p < 0.001). Despite this, operative mortality was lower in octogenarians (0% vs. 7.4%, p = 0.029), although hospital stay (11.7 vs. 8.9 days, p = 0.026) was longer. One-, 3-, and 5-year survival rates were 95.2%, 90.1%, and 75.3% for octogenarians and 89.2%, 81.7%, and 70.2% for septuagenarians (p = 0.398). Canadian Cardiovascular Society angina class 3-4 and the presence of other valvular stenosis or regurgitation were independent predictors of mortality. CONCLUSION: Octogenarians had lower operative mortality despite a higher predicted risk preoperatively. Other factors beyond age and EuroSCORE, such as frailty, may be important in deciding whether elderly patients should undergo aortic valve replacement.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
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 head0.016
GPT teacher head0.335
Teacher spread0.320 · 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.

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

Citations6
Published2013
Admission routes1
Has abstractyes

Explore more

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