Predictors of preprocedural direct oral anticoagulant levels in patients having an elective surgery or procedure
Why this work is in the frame
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Bibliographic record
Abstract
The Perioperative Anticoagulation Use for Surgery Evaluation (PAUSE) study prospectively evaluated a prespecified periprocedural-interruption strategy of direct oral anticoagulants (DOACs) among patients with atrial fibrillation. Logistic regression analyses were performed to identify clinical parameters associated with residual DOAC levels ≥30 ng/mL or ≥50 ng/mL. Patients undergoing low-bleed-risk procedures were more likely to have residual levels of ≥30 ng/mL and ≥50 ng/mL. For low-risk procedures, age ≥75 years, female sex, a creatinine clearance (CrCl) <50 mL/min, and an interruption of <36 hours were associated with a greater likelihood of levels ≥30 ng/mL, whereas age ≥75 years, female sex, a CrCl of <50 mL/min, and standard DOAC dosing were associated with levels ≥50 ng/mL. For high-risk procedures, weight of <70 kg, CrCl <50 mL/min, and standard DOAC dosing were associated with residual levels ≥30 ng/mL, whereas female sex was associated with levels ≥50 ng/mL. For low-risk procedures, apixaban was associated with a higher likelihood of levels ≥30 ng/mL as compared with dabigatran (P = .0019) and of levels ≥50 ng/mL when compared with rivaroxaban (P = .0003). For high-risk procedures, apixaban was marginally associated with a higher likelihood of residual levels ≥30 ng/mL when compared with dabigatran (P = .05), whereas rivaroxaban was associated with a higher likelihood of levels ≥30 ng/mL as compared with apixaban. Further study is required to determine whether adjustments to perioperative plans based on these clinical parameters could result in a lower risk of residual DOAC levels. The PAUSE trial was registered at www.clinicaltrials.gov as #NCT2228798.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it