Warfarin Interactions With Antibiotics in the Ambulatory Care Setting
Bibliographic record
Abstract
IMPORTANCE: The effect of antibiotic coadministration on the international normalized ratio (INR) in a relatively stable, real-world warfarin population has not been adequately described. Case reports and studies of healthy volunteers do not account for the potential contribution of acute illness to INR variability. OBJECTIVE: To compare the risk of excessive anticoagulation among patients with stable warfarin therapy purchasing an antibiotic (antibiotic group) with the risk in patients purchasing a warfarin refill (stable controls) and patients with upper respiratory tract infection but not receiving an antibiotic (sick controls). DESIGN, SETTING, AND PARTICIPANTS: A retrospective, longitudinal cohort study evaluated patients receiving warfarin between January 1, 2005, and March 31, 2011, at Kaiser Permanente Colorado, an integrated health care delivery system. Continuous data were expressed as mean (SD) or median (interquartile range). Multivariable logistic regression analysis was used to identify factors independently associated with a follow-up INR of 5.0 or more. A total of 5857 (48.8%), 5579 (46.5%), and 570 (4.7%) patients were included in the antibiotic, stable control, and sick control groups, respectively. Mean age was 68.3 years, and atrial fibrillation was the most common (44.4%) indication for anticoagulation. EXPOSURES: Warfarin therapy with a medical visit for upper respiratory tract infection or coadministration of antibiotics. MAIN OUTCOMES AND MEASURES: Primary outcomes were the proportion of patients experiencing a follow-up INR of 5.0 or more and change between the last INR measured before the index date and the follow-up INR. RESULTS: The proportion of patients experiencing an INR of 5.0 or more was 3.2%, 2.6%, and 1.2% for the antibiotic, sick, and stable groups, respectively (P < .001, antibiotic vs stable control group; P < .017, sick vs stable control group; P = .44, antibiotic vs sick control group). Cancer diagnosis, elevated baseline INR, and female sex predicted a follow-up INR of 5.0 or more. Among antibiotics, those interfering with warfarin metabolism posed the greatest risk for an INR of 5.0 or more. CONCLUSIONS AND RELEVANCE: Acute upper respiratory tract infection increases the risk of excessive anticoagulation independent of antibiotic use. Antibiotics also increase the risk; however, most patients with previously stable warfarin therapy will not experience clinically relevant increases in INR following antibiotic exposure or acute upper respiratory tract infection.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".