Rapid diagnosis of coagulopathies from vitamin K deficiency in a consecutive case cohort evaluated by comparative assessment of factor II by 1-stage assays with prothrombin time vs Ecarin reagents
Bibliographic record
Abstract
BACKGROUND: Vitamin K (VK) deficiency (VKD) impairs γ-carboxylation of VK-dependent factors (VKDFs), resulting in higher factor (F)II levels measured by Ecarin (FIIE) reagents (that convert des-γ-carboxylated FII to meizothrombin) than by prothrombin time (FII) reagents. OBJECTIVES: To evaluate FII/FIIE abnormalities among patients assessed for coagulopathies and identify findings predictive of coagulopathy improvement after VK. METHODS: We retrospectively assessed consecutive cases from 2002 to 2021 with FII/FIIE tests and the sensitivity and specificity of FII/FIIE ratios and FIIE-FII differences for VKD defined as international normalized ratio correction/improvement of ≥0.5 after VK. RESULTS: Two hundred ninety-two patients (males, 58.2%; adults, 85.6%; median age, 73 years) were evaluated (84.2% hospitalized, 48.3% in intensive care, 71.6% with active liver disease, and 28% deceased at discharge) and 25% to 38% had FII/FIIE findings suggestive of VKD. Among 170 patients assessed for response to VK, FII/FIIE ratios of ≤0.84 to 0.91 and FIIE-FII differences of >0.04 U/mL had similar modest sensitivity (47.7%-69.3%) and modest to good specificity (67.1%-91.5%) for VKD. FII/FIIE ratios of <0.86, suggestive of VKD (sensitivity, 47.7%; specificity, 90.2%), were more common in patients deficient in only VKDF (P = .0001), but were detected in 16% with non-VKDF deficiencies. Low FIIE was commonly associated with active liver disease (P = .0002). Patients with and without probable VKD (based on FII/FIIE ratios of <0.86) had similar mortality, bleeding, and rates of prothrombin complex concentrate and red cell transfusions (P ≥ .78), but fewer with probable VKD received plasma and fibrinogen replacement (P ≤ .024). CONCLUSION: FII/FIIE comparison aids the diagnosis of VKD and predicts clinical responses to VK treatment among patients with coagulopathies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".