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Record W3174210933 · doi:10.1532/hsf.3857

The Gap in Prescribing Stroke Prevention Therapies in Postoperative Atrial Fibrillation After Isolated Coronary Artery Bypass Grafting Surgery

2021· article· en· W3174210933 on OpenAlexaffabout
Mohammed Shurrab, Dennis T. Ko, Rony Atoui, Kari Kostiw, Mark Henderson

Bibliographic record

VenueThe Heart Surgery Forum · 2021
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of TorontoHealth Sciences North
Fundersnot available
KeywordsMedicineAtrial fibrillationPerioperativeLogistic regressionStroke (engine)Internal medicineArteryBypass graftingCardiologyCoronary artery bypass surgeryMedical prescriptionSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Postoperative atrial fibrillation (POAF) commonly occurs after coronary artery bypass graft (CABG) surgery. Patients with POAF are at higher risk of stroke and mortality. The use of oral anticoagulation (OAC) in POAF remains inconsistent, and the care gap is unknown. OBJECTIVE: We sought to evaluate rate of adherence and factors associated with OAC use in POAF patients after isolated CABG. METHODS: In this study, all patients who had an isolated CABG between April 1, 2019 and March 30, 2020, at Health Sciences North, Sudbury retrospectively were evaluated. We identified all patients who developed POAF and captured the use of OAC. Multivariable logistic regression models were used to identify predictors of OAC prescription. RESULTS: In total, 339 CABG patients between April 1, 2019 and March 30, 2020, were identified; 86 patients developed POAF. No patients had major perioperative bleeding. All POAF patients had an indication for OAC therapies based on CHADS 65 score. However, only 17 (19.8%) patients with POAF had OAC prescription at the time of hospital discharge. Baseline characteristics were similar between those with or without OAC. In multivariable analysis, the use of dual antiplatelet therapy was associated with a decreased use of OAC therapy in POAF (OR 0.037 (95% CI 0.005, 0.29), P = .002). Moreover, in comparison to surgeon A, surgeon B was associated with a decreased use of OAC therapy, whereas surgeon C was associated with an increased use of OAC therapy in POAF (OR 0.15 (95% CI 0.03, 0.83), P = .03 and OR 6.49 (95% CI 1.21, 34.82), P = .03, respectively). None of the CHADS 65 elements, including age, hypertension, stroke, diabetes mellitus or congestive heart failure, correlated with the use of OAC. KEY FINDINGS: Eighty percent of patients who developed POAF after isolated CABG failed to receive stroke prevention therapies. The use of dual antiplatelet therapy and individual surgeons' preference were associated with the use of OAC therapy among POAF. CONCLUSIONS: This data set suggests that approximately only 1 in 5 patients with POAF after isolated CABG got prescribed OAC.

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)0.002
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 score0.031
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.060
GPT teacher head0.306
Teacher spread0.246 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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