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Novel and Clinically Significant Factors Influencing the Pharmacokinetic Variability of Recombinant Factor VIII (Kogenate-FS) in Children.

2004· article· en· W2564322603 on OpenAlexaff
Chris N. Barnes, David Lillicrap, Victor S. Blanchette, Ann Marie Stain, Janneth Pazmino‐Canizares, Dewi Clark, Caroline Hensmen, Manuel Carção

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsQueen's UniversityHospital for Sick Children
Fundersnot available
KeywordsPharmacokineticsMedicineDosingHaemophiliaFactor IXClotting factorInternal medicinePharmacologyGastroenterologyPediatrics

Abstract

fetched live from OpenAlex

Abstract Understanding the pharmacokinetics of factor VIII (FVIII) is critical to maximise the clinical benefit of clotting factor replacement therapy. Little is known about the pharmacokinetics of recombinant FVIII (rFVIII) in children and current dosing regimes, largely based on adult pharmacokinetic data, may be inappropriate. Further, there is limited information about factors determing the pharmacokinetic variability of FVIII between children. We performed a pharmacokinetic study in 20 children with severe haemophilia A (mean age 12.8 years) following a bolus of 50 U/kg of rFVIII (Kogenate-FS, Bayer Health Care). FVIII:C levels were assessed at 10 time points to determine the effect of patient size, age and pre infusion vWF:Ag level on FVIII pharmacokinetics. The patients had no history of inhibitors to FVIII (>0.5 BU). The mean incremental FVIII recovery was 1.87 (U/ml)/(U/kg) (range 1.25– 2.76) which is significantly lower than adult pharmacokinetic studies. (Table 1) FVIII recovery showed a greater correlation with body surface area (BSA, Spearman correlation p = 0.037) than to weight (p = 0.048) suggesting dosing based on BSA may lead to more predictable FVIII recovery in children. The mean half-life of FVIII was 10.7 hours (range 7.8 to 15.3) and is reduced in comparison to adult studies. FVIII half-life showed a positive correlation with levels of vWF:Ag (p = 0.0001) (Figure 1) and half life was reduced in six patients with FVIII inhibitor titres between 0.05–0.15 Nijmegen modified BU (p = 0.06). The correlation of rFVIII half-life with vWF:Ag levels may provide a basis for pharmacological augmentation of vWF:Ag levels to prolong rFVIII half life and may be of major benefit in countries with a limited supply rFVIII. The finding that FVIII half-life is reduced in patients with inhibitor titres that have previously been regarded as clinically insignificant suggests that standards and methodologies for the measurement of inhibitors should be re-evaluated. This study shows that the pharmacokinetics of rFVIII in children are unique and that BSA, pre infusion levels of vWF and the presence of low, previously considered non-clinically significant inhibitors may affect the pharmacokinetics of Kogenate-FS in children. These relationships, and the potential to improve dosing schedules for FVIII in children, need further study. Comparison of results from our centre with other published pharmacokinetic studies of rFVIII. Reference Number of patients Mean age (range) (Years) Mean incremental recovery (U/ml)/(U/kg) Mean half life (hours) Mean clearance (ml/hr/kg) Mean volume of distribution steady state (ml/kg) ¥ Results represent pooled data of one rFVIII product prepared at two different sites assessed by one stage assay. Only week 1 of serial pharmacokinetic studies is presented. Barnes (2004) 20 12.8 (4.4 – 18.1) 1.9 10.7 4.1 59.2 Lee (1999)¥ 30 N/A 2.5 12.7 2.0 62.6 Fijnvandraat (1997) 12 34.0 (17 – 64) 2.4 11.3 3.2 44.8 Harrison (1991) 14 34.1 (23 – 72) 2.8 16.5 2.4 51.2 Schwartz (1990) 17 N/A 2.7 15.8 2.5 50.5 Figure Figure

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.031
GPT teacher head0.314
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2004
Admission routes1
Has abstractyes

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