Periprocedural Management of Patients With Atrial Fibrillation Receiving a Direct Oral Anticoagulant Undergoing a Digestive Endoscopy
Bibliographic record
Abstract
INTRODUCTION: The periprocedural management of patients with atrial fibrillation (AF) using a direct oral anticoagulant (DOAC) undergoing elective gastrointestinal (GI) endoscopic procedure remains uncertain. We investigated the safety of a standardized periprocedural DOAC management strategy. METHODS: The Periprocedural Anticoagulation Use for Surgery Evaluation cohort study enrolled adult patients receiving a DOAC (apixaban, rivaroxaban, or dabigatran) for AF scheduled for an elective procedure or surgery. This analysis addresses patients undergoing digestive endoscopy. Standardized periprocedural management consisted of DOAC interruption 1 day preendoscopy with resumption 1 day after procedure at low-moderate risk of bleeding or 2 days in case of a high bleeding risk. Thirty-day outcomes included GI bleeding, thromboembolic events, and mortality. RESULTS: Of 556 patients on a DOAC (mean [SD] age of 72.5 [8.6] years; 37.4% female; mean CHADS 2 score 1.7 [1.0]), 8.6% were also on American Society of Anesthesiology (ASA) and 0.7% on clopidogrel. Most of the patients underwent colonoscopies (63.3%) or gastroscopies (14.0%), with 18.9% having both on the same procedural day. The mean total duration of DOAC interruption was 3.9 ± 1.6 days. Four patients experienced an arterial thromboembolic event (0.7%, 0.3%-1.8%) within 24.2 ± 5.9 days of DOAC interruption. GI bleeding events occurred in 2.5% (1.4%-4.2%) within 11.1 ± 8.1 days (range: 0.6; 25.5 days) of endoscopy, with major GI bleeding in 0.9% (0.4%-2.1%). Three patients died (0.5%; 0.2%-1.6%) 15.6-22.3 days after the endoscopy. DISCUSSION: After a contemporary standardized periprocedural management strategy, patients with AF undergoing DOAC therapy interruption for elective digestive endoscopy experienced low rates of arterial thromboembolism and major bleeding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".