In-hospital Bleeding Outcomes of Oral Anticoagulant and Dual Antiplatelet Therapy During Percutaneous Coronary Intervention: An Analysis From the Japanese Nationwide Registry
Bibliographic record
Abstract
ABSTRACT: The type of periprocedural antithrombotic regimen that is the safest and most effective in percutaneous coronary intervention (PCI) patients on oral anticoagulant (OAC) therapy has not been fully investigated. We aimed to retrospectively investigate the in-hospital bleeding outcomes of patients receiving OAC and antiplatelet therapies during PCI using Japanese nationwide multicenter registry data. A total of 26,938 patients who underwent PCI with OAC and antiplatelet therapies between 2016 and 2017 were included. We investigated in-hospital bleeding requiring blood transfusion, mortality, and stent thrombosis according to the antithrombotic regimens used at the time of PCI: OAC + single antiplatelet therapy (double therapy) and OAC + dual antiplatelet therapy (triple therapy). The antiplatelet agents included aspirin, clopidogrel, and prasugrel. The OAC agents included warfarin and direct OACs. Adjusting the dose of OAC or intermitting OAC before PCI was at each operator's discretion. In the study population [mean age (SD), 73.5 (9.5) years; women, 21.5%], the double therapy and triple therapy groups comprised 5546 (20.6%) and 21,392 (79.4%) patients, respectively. Bleeding requiring transfusion was not significantly different between the groups [adjusted odds ratio (aOR), 0.700; 95% confidence interval (CI), 0.420-1.160; P = 0.165] (triple therapy as a reference). Mortality was not significantly different (aOR, 1.370; 95% CI, 0.790-2.360; P = 0.258). Stent thrombosis was significantly different between the groups (aOR, 3.310; 95% CI, 1.040-10.500; P = 0.042) (triple therapy as a reference). In conclusion, for patients on OAC therapy who underwent PCI, periprocedural triple therapy may be safe with respect to in-hospital bleeding risks. However, further investigations are warranted to establish the safety and efficacy of periprocedural triple therapy.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".