Population Pharmacokinetics of Enoxaparin in Children at Risk for Symptomatic Thromboembolism.
Bibliographic record
Abstract
Abstract Abstract 1071 Poster Board I-93 Introduction: Enoxaparin, a low-molecular-weight-heparin (LMWH), is used off-label in children to prevent symptomatic thromboembolism when acute anticoagulation or secondary prevention is required due to venous thrombosis or stroke. This investigation was conducted because of concerns of altered pharmacokinetics and a lack of safety and efficacy data when used in children. Patients and Methods: Data of 126 children and adolescents with a median age of 5.9 years receiving enoxaparin either as a once or twice daily dosing regimen were analyzed. Children < 12 months of age received a starting dose of 1.5 mg/kg followed by a maintenance dose of 1.3 mg/kg. Children > 12 months of age were started on 1 mg/kg followed by a maintenance dose of 1 mg/kg. Blood samples were drawn after patients reached steady-state on their maintenance dose at baseline prior to the next dose, and at 2, 4, 8 and 12 hours after administration. The median enoxaparin concentration in our population resulted in a median anti-factor Xa activity of 0.4 U/ml (range 0 – 1 U/ml anti-factor Xa). By means of population pharmacokinetics using nonlinear mixed-effects modelling (NONMEM) plasma concentration-time data were analyzed. Several covariates such as age, body weight and body surface area were tested on their effects on the pharmacokinetic parameters. Results: Using a two-compartment model the enoxaparin kinetics were described sufficiently. By using body weight and age as covariates for clearance (CL) and central volume of distribution (V1) the best results were obtained. The final population estimates of enoxaparin resulted to be: CL 7.11 ml h-1 kg-1 ± 14.3%, V1 7.31 ml kg-1 ± 33.5%, intercompartimental clearance (Q) 194 ml h-1 ± 24.7%, peripheral volume of distribution (V2) 45.1 l ± 52.5% and absorption rate (ka) 0.0799 h-1 ± 21.7% (estimates ± standard errors). Interindividual variability (IIV) was found to be 75.6% for CL and 78.4% for Q, respectively. Figure 1 shows the predicted activity time-course versus the measured activities for a representative patient. The model is capable of describing all aging and dosing groups of our childhood population (neonates, infants to adolescents). Conclusion: The high IIV in CL and Q in our population underlines the need for monitoring the activity and individualizing the dose. Further population pharmacokinetic/-dynamic investigations should be conducted to predict target enoxaparin levels or other new antithrombotic drugs for more safety and efficacy during antithrombotic therapy when used in children. Disclosures: Off Label Use: Enoxaparin (LMWH) is used off-label in children to prevent symptomatic thromboembolism..
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".