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Record W2932173068 · doi:10.1093/ejcts/ezz081

Long-term outcomes of patients undergoing tricuspid valve surgery†

2019· article· en· W2932173068 on OpenAlexaff
Nishant Saran, Joseph A. Dearani, Sameh M. Said, Kevin L. Greason, Alberto Pochettino, John M. Stulak, Simon Maltais, Sertaç Çïçek, Juan A. Crestanello, Richard C. Daly, Katherine S. King, Hartzell V. Schaff

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineHazard ratioPropensity score matchingProportional hazards modelSurgeryCumulative incidenceConfidence intervalRetrospective cohort studyInternal medicineTransplantation

Abstract

fetched live from OpenAlex

OBJECTIVES: Limited literature is available on the best management strategy for tricuspid valve (TV) disease in adults. We sought to review our long-term outcomes of TV surgery with regard to survival and reoperation. METHODS: A retrospective analysis of all patients ≥18 years of age [n = 2541, aged 67 ± 13years, 1433 (56%) females] who underwent first-time TV surgery between January 1993 and December 2013 was done. There were 1735 patients who received TV repair and 806 patients underwent replacement. A gradient boosting machine model was used to derive a propensity score for predicting replacement using 27 preoperative characteristics. Four hundred and eighteen propensity-matched pairs of TV repair and replacement were identified. Cox proportional hazard regression was used on the matched subset to determine the effect of replacement. RESULTS: Functional TV regurgitation was present in 54% (n = 1369). A bioprosthesis was used in 84% (n = 680) of replacements, while 54% (n = 934) of TV repairs were ring annuloplasties. Operative mortality was 8% (n = 212). Overall survival was 54%, 29% and 13% at 5, 10 and 15 years, respectively. After propensity score matching, replacement was significantly associated with increased mortality [hazard ratio (HR) 1.54, 95% confidence interval (CI) 1.18-2.00; P = 0.001]. The cumulative incidence of TV reoperation was similar between the 2 groups when accounting for the competing risk of death [Fine-Gray HR 1.56, 95% CI 0.9-2.8; P = 0.144]. CONCLUSIONS: TV surgery is associated with poor outcomes due to multiple patient comorbidities. TV repair results in better survival compared to replacement in patients with similar comorbidities with no increased risk of getting a reoperation.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.008
Bibliometrics0.0010.000
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 head0.029
GPT teacher head0.318
Teacher spread0.289 · 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

Citations51
Published2019
Admission routes1
Has abstractyes

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