Population Pharmacokinetic Model of ADVATE in Pediatric and Adult Patients with Hemophilia A.
Bibliographic record
Abstract
Abstract Abstract 3492 Poster Board III-429 Introduction The objective of this analysis was to characterize the population pharmacokinetic (PK) model of ADVATE® (Antihemophilic Factor (Recombinant), Plasma/Albumin-Free Method) in hemophilia A patients. This included estimation of typical population pharmacokinetic parameters and inter-individual and residual variability and identification of covariates that are significant predictors of variability in a pooled population of children and adults. Patients and Methods Plasma FVIII activity PK data were collected for 3 ADVATE® clinical trials in previously treated patients: 184 full PK data sets for 100 adults/adolescents, aged 10 to 65 years, and from 52 reduced sample PK data sets for 52 children, aged 1 to 6 years. Population PK analysis was conducted using non-linear mixed effects modeling with the first-order integral approximation method in SAS® software (NLMIXED procedure). A two-compartment model was used as the base model and the influence of age and weight were explored. Results Two-compartment PK models with additive plus proportional residual variability model and exponential inter-individual variability model adequately described the data. Clearance (CL) is significantly correlated with age and body weight and central volume of distribution (V1) is also related with body weight. The estimated population PK parameters were (mean parameter, (inter-individual variability %)): CL (2.92 mL/kg·h, 22%), V1 (0.46 dL/kg, 5.2%), peripheral volume V2 (0.09 dL/kg) and inter-compartmental clearance Q (2.07 mL/ kg·h). Conclusions A population PK model that describes the combined PK data from adults and pediatric studies has been constructed. A significant portion of inter-individual variability in both volume and clearance can be explained by subject weight. An additional smaller effect of age on clearance but not volume was observed. A population PK model for Factor VIII could provide the clinician with advantages in designing a patient specific treatment regimen. It could provide more relevant guidance in individual patient pharmacokinetics than just incremental recovery without the burden of a full PK assessment of the patient. Disclosures: Oh: Baxter: Employment. Off Label Use: Prophylaxis is not indicated in the US. Björkman:Baxter: Consultancy; Octapharma: Consultancy. Schroth:Baxter: Employment. Fritsch:Baxter: Employment. Collins:Bayer: Consultancy; Novo Nordisk: Consultancy; Baxter: Consultancy. Fischer:Bayer: Consultancy; Wyeth: Consultancy; Baxter: Consultancy. Blanchette:Bayer: Consultancy; Baxter: Consultancy. Casey:Baxter: Employment. Spotts:Baxter: Employment. Ewenstein:Baxter: Employment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".