To study role of clinical variables and VKORC1 polymorphism in determination of stability of INR in neurological patients on acenocoumarol
Bibliographic record
Abstract
Oral anticoagulation (OAC) is difficult to maintain in therapeutic range and their efficacy may be influenced by number of clinical and genetic variables. The objective of the study is to evaluate the role of VKORC1 polymorphism and correlate with stability of anticoagulation. It is a hospital based study. Patients on OAC were included during 2013-2016. The patients received OAC for cardioembolic stroke, cortical venous sinus thrombosis (CVST) and prevention of deep vein thrombosis (DVT). Demographic, clinical and neurological findings were recorded. Stability of OAC was determined by percentage of international normalized ratio (INR) values in therapeutic range (PINR). PINR >65% were defined as stable and <65% was defined unstable. VKORC 1 polymorphism was studied by polymerase chain reaction and was related to daily dose of OAC and stability of INR. 157 patients with median age of 40 years were included. Ninety two patients received OAC for secondary stroke prevention, 62 for CVST and 3 for DVT. Out of 2976 INR reports, 1458 (49%) were in the therapeutic range, 997 (33.1%) were below and 521 (17.5%) above the therapeutic level. Stable INR was obtained in 75 (47.77%) patients only and was improved by drug modification in 3, and dietary adjustment in 12 patients. VKORC1 polymorphism revealed GG in 127 (80.9%), GA in 22 (14%) and AA genotype in 8 (5.1%) patients. Therapeutic range of INR was seen in 49%, below therapeutic range in 31.5% and above in 17.5%. VKORC1 polymorphism was related to mean daily dose of OAC but not to stability of INR.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".