Long‐term anticoagulation stability is positively associated with vitamin K intake: a relationship modulated by vitamin K food sources
Bibliographic record
Abstract
Vitamin K (VK) is known to interact with warfarin, though its effect on anticoagulation stability (AS) is not fully characterized. Our objective was to examine whether VK intakes, VK food sources, and self‐reported dietary advices were associated with AS over 12 months in 145 warfarin‐treated older adults. Stable patients were defined as having ≤1 INR outside the target range and/or ≤1 change in warfarin dose over the 12‐month period. Regression models showed that higher VK intake was associated with better AS (OR [95% CI]; 10.2 [2.6–40.6]). Interestingly, higher %VK intake from fat‐rich foods was associated with increased AS (OR [95% CI]; 4.5 [1.1–18.3]). Only 5 patients reported to aim for stable daily VK intakes, the official dietary recommendation for warfarin therapy. Conversely, 40% were instructed to reduce their green vegetables consumption which was not associated with increased AS (OR [95% CI]; 0.70 [0.30–1.62]). Overall, our results suggest that warfarin‐treated patients should not be instructed to restrict their green vegetables consumption. Improving VK status through diet/supplementation could translate into health benefits, lower healthcare costs and improved quality of life. Data will further be analyzed using Rosendaal's linear interpolation method to assess AS. CL was supported by a studentship provided by the Centre de recherche, Hôpital du Sacré‐Coeur de Montréal.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".