A pilot feasibility and safety multicenter trial of administering weight adjusted FiXED dose of low molecular weight heparin (ENOXAPARIN) to neonates and children with thrombosis
Bibliographic record
Abstract
Abstract Introduction: Enoxaparin is a commonly used low molecular weight heparin (LMWH) for the treatment of thrombosis in neonates and children that is monitored with anti-factor Xa (anti-Xa) levels. However, this therapeutic range of anti-Xa (0.5–1.0 u/ml) was extrapolated from adult studies. The burden of pain to neonates and children due to venipunctures and of resources to the health care system also warrants an evidence-based review to assess the utility of monitoring LMWH therapy with anti-Xa levels. Here we describe the FiXET trial. Methods/Design: This is a prospective pilot, feasibility and safety multicenter, randomized controlled trial to compare the approach of treating thrombosis in neonates and children under 18 years of age with enoxaparin using weight adjusted fixed dose to variable dose titrated to maintain a pre-determined anti-Xa range (0.5–1.0 u/mL). We plan to recruit 20 neonates and children over the study period, who will be randomized within their first week of anti-coagulation treatment. Key feasibility outcomes include screening/recruitment ratio, monthly recruitment rate, and completeness of data collection. We will also measure the safety outcome of bleeding as well as comment on efficacy of resolution of thrombosis as a secondary outcome. Discussion: The administration of weight adjusted fixed dose of enoxaparin without anti-Xa monitoring has the potential to reduce pain from multiple venipunctures in neonates and children as well as resources used in their already complex care. The results of the FiXET trial will set the framework for a larger multicenter randomized controlled trial to compare the efficacy of administering enoxaparin to neonates without monitoring to the current conventional approach of routine monitoring with anti-Xa levels. Trial registration: The trial is registered with clinicaltrials.gov as NCT02486666.
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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) | 0.001 | 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 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".