Trends and Outcomes of Oral Anticoagulation With Direct Current Cardioversion for Atrial Fibrillation/Flutter at an Academic Medical Center
Bibliographic record
Abstract
Background: Increasing reports suggest the safe use of direct oral anticoagulants (DOACs) in electrical cardioversion. The aim of this study was to assess the trends and 30-day outcomes associated with anticoagulation for cardioversion. Methods: Patients who underwent electrical cardioversion from January 2015 to October 2020 with a 30-day follow-up were included; and outcomes including stroke, transient ischemic attack, intracranial hemorrhage (ICH), and major gastrointestinal bleeding were recorded. Results: VASc score of 2.6 ± 1.6. Outpatient apixaban use increased from 10% in 2015 to 46% in 2020 (P < 0.001) with a decline in the use of warfarin from 24% in 2015 to 10% in 2020 (P = 0.023). Apixaban use peri-procedurally for cardioversion increased from 32% in 2015 to 35% in 2020 (P = 0.317), while warfarin use decreased from 23% in 2015 to 14% in 2020 (P = 0.164). At discharge, apixaban prescriptions increased from 21% in 2015 to 61% in 2020 (P < 0.001), while warfarin prescriptions declined from 30% in 2015 to 13% in 2020 (P = 0.009). No ICH was recorded in the 30 days after cardioversion. Ischemic stroke occurred in four (0.7%) patients with one (0.29%) of the 338 patients on a DOAC, one (0.8%) of the 124 patients on warfarin and two (5.5%) of the 36 patients not receiving anticoagulation post cardioversion. There were seven (1%) major gastrointestinal bleeding events in patients on oral anticoagulation, of which four (3%) were on warfarin and three (0.8%) were on DOACs. Conclusions: Our study shows the increasing and safe use of DOACs for the purpose of cardioversion. The rates of 30-day ischemic stroke post cardioversion were low and only occurred in patients admitted in the intensive care unit.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".