Use of a Population Pharmacokinetic Model of ADVATE In Pediatric and Adult Patients with Hemophilia A Permits Limited Blood Sampling for Individual Dose Tailoring.
Bibliographic record
Abstract
Abstract Abstract 1416 Introduction: A population pharmacokinetic (PK) model of a recombinant FVIII (rFVIII) was established on ADVATE® (Antihemophilic Factor (Recombinant), Plasma/Albumin-Free Method) studies in pediatric and adult patients with hemophilia A. The objective of this analysis was to evaluate the effect of reduced PK sampling time points on the estimated PK parameters in the population PK model. Patients and Methods: Plasma FVIII activity PK data were collected for 3 ADVATE® clinical trials in previously treated patients: 184 full PK data sets (11 time points) for 100 adults/adolescents, aged 10 to 65 years, and from 52 reduced sample PK data sets (5 time points) for 52 children, aged 1 to 6 years. A population PK analysis was conducted on a two-compartment structure model and the covariate effect of age and weight was explored. Four reduced sampling scenarios from the full 10 post-infusion sampling time points, were investigated: 1) Reduced to 4 (1 hr, 9 hr, 24 hr, and 48 hr), 2) Reduced to 3 (6 hr, 24 hr, and 48 hr), 3) Reduced to 2 (6 hr and 24 hr), and 4) Reduced to 1 sampling time points (24 hr post-infusion). After applying the reduced sampling on a random 10% of sampling set at a time in the population PK model, the differences in model estimates and individual PK estimates between full and reduced sampling, were evaluated. Results: The two-compartment population PK model adequately described the data. Clearance (CL) was significantly correlated with age and body weight and central volume of distribution was also related with body weight. Absolute deviations (%) from the estimates using full PK sampling in the Individual PK estimates (CL, Vss, and Half-life) using each of the reduced sampling time points were showed in the below table. Conclusions: It appears that PK parameters estimated using population PK model are robust to reduced sampling time points. Accurate measurement of PK on reduced samples gives patients and clinicians the opportunity to design treatment regimens that are better tailored to individuals. Disclosures: Oh: Baxter: Employment. Björkman:Baxter: Consultancy; Octapharma: Consultancy. Schroth:Baxter: Employment. Fritsch:Baxter: Employment. Collins:NovoNordisk: Consultancy, Honoraria, The EACH2 registry was funded by Novonordisk; Baxter Healthcare: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Fischer:Baxter: Consultancy; NovoNordisk: Consultancy. Blanchette:Bayer: Consultancy; Baxter: Research Support. Casey:Baxter: Employment. Spotts:Baxter: Employment. Ewenstein:Baxter Bioscience: 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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".