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Abstract 4368328: Oral anticoagulation for post-operative atrial fibrillation after valvular heart surgery: a population based study

2025· article· en· W4415790003 on OpenAlexaff
Derrick Y. Tam, Jiming Fang, Joshua Lee, Peter C. Austin, Stephen E. Fremes, Andrew C.T. Ha

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSunnybrook Health Science CentreWestern UniversityInstitute for Clinical Evaluative SciencesSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsAtrial fibrillationPropensity score matchingHazard ratioCardiac surgeryAortic valve replacementPopulationvalvular heart diseaseMechanical valveWarfarin

Abstract

fetched live from OpenAlex

Background: New onset post-operative atrial fibrillation is common after valvular heart surgery yet optimal oral anticoagulation (OAC) management in these patients is not known. Herein, we describe trends in the use of vitamin K antagonists (VKA), direct oral anti-coagulants (DOACs), versus no OAC and their outcomes in patients that develop new onset POAF after valve surgery. Methods: Provincial-wide clinical registry with linkage to discharge abstracts was queried to obtain all patients ≥65 years-old undergoing isolated aortic and/or mitral valve bioprosthesis replacement or repair from 2008-2022. Patients undergoing replacement with mechanical prosthesis, history of prior atrial fibrillation or those who died within 90-days were excluded. Trends in utilization of OAC versus none were assessed over the study period in patients that developed POAF within 90-days of surgery. The primary outcome was the composite of death, stroke, myocardial infarction, thromboembolism, or major bleeding at 2-years compared in a cause-specific hazard model in propensity score matched cohort. Results: In 7,774 patients undergoing valve surgery without a history of atrial fibrillation or OAC use, 3,075 patients (40%) developed POAF (mean age 74 years, 58% male, median CHADS2-Vasc score 4.0 [IQR: 3.0-4.0]). In 1,851 (60%) patients, OAC was started within 90-days of discharge with VKA (68%, n=1,263) or DOAC (32%, n=588) while no OAC was initiated in 1,224 patients (40%). There was decreasing use of VKA (2008: 68% 2022: 23%) and increasing use of DOAC after introduction in 2012 (2012:7%, 2022: 40%) without an overall increase in OAC use with time (2008: 68% 2022: 63%). Propensity matching on 20 demographics yielded 1,187 well matched pairs (96% match). The cumulative incidence of the primary outcome did not differ between OAC and no OAC patients at 2-years (Figure, 8.2% vs 7.2%, HR: 1.17, 95%CI: 0.87-1.57, p=0.3). The incidence of stroke at 2-years was similar between OAC and no OAC (1.7% vs 1.1%, p=0.22). There was no increased risk of major bleed at two years with OAC (3.5% vs 2.9%, p=0.41). Conclusions: The use of OAC in patients with new onset atrial fibrillation after bioprosthetic valvular heart surgery was 60%. The use of OAC did not reduce the incidence of stroke nor was it associated with increased major bleeding in this population. Routine oral anticoagulation in patients with POAF after valve surgery may not be necessary.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.057
GPT teacher head0.366
Teacher spread0.309 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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