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Record W2961723827 · doi:10.1182/blood-2018-99-111024

A Practical, One Clinic Visit, Population Pharmacokinetic (PK) Protocol for Generation of PK Profiles in Subjects with Severe Hemophilia a

2018· article· en· W2961723827 on OpenAlexaffabout
Victor S. Blanchette, Laura Tiseo, David Lillicrap, Shannon Jackson, Massimo Morfini, Vanessa Bouskill, Manuel Carção, Margaret L. Rand, Derek Stephens, Liane Khoo, Ester Zápotocká, V. Komrska, Jan Blatný

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsQueen's UniversityInstitute for Clinical Evaluative SciencesUniversity of TorontoSickKids FoundationUniversity of British ColumbiaHospital for Sick Children
Fundersnot available
KeywordsMedicinePharmacokineticsPopulationDosingInternal medicine

Abstract

fetched live from OpenAlex

Abstract Introduction Clearance of infused factor VIII (FVIII) varies approximately 2-fold between persons with severe hemophilia A. This results in significant interpatient differences in factor levels following an infusion of FVIII and contributes to potentially significant differences in protection against spontaneous musculoskeletal bleeding in patients on fixed dose prophylaxis regimens. Aim The aim of this study is to compare two PK protocols: 1) a 6-point PK protocol with a 72 hour washout; and 2) a 2-point, one clinic visit PK protocol with no washout using the following pharmacokinetic (PK) parameters: clearance (Cl) and time to FVIII:C of 1% above baseline (tt1%) in persons with severe hemophilia A. Methods Inhibitor negative males with severe hemophilia A (FVIII<2%) receiving a standard half-life recombinant FVIII (rFVIII) concentrate (ADVATE®) were consented into a research ethics board approved study. In the 6-point PK protocol, participants were infused with approximately 50 IU/kg rFVIII after a minimum washout of 72 hours and FVIII levels were measured pre-infusion and at 1, 3, 9, 24 and 48 hours post-infusion. The 2-point PK protocol consisted of a blood sample taken in clinic approximately 24 hours after the participant infused their prophylactic dose at home (15-50 IU/kg), followed by a 25 IU/kg dose given in clinic and a 3 hour post-infusion sample. Frozen plasma samples were sent to a central laboratory in Kingston, Ontario where one-stage and chromogenic FVIII assays were performed. PK parameters (Cl and tt1%) were estimated using the 2 compartmental models of PK programs Phoenix WinNonlin 7.0 (Certara USA Inc.) and myPKFiT version 3.0 (Baxalta US Inc). Intra-class correlations (ICCs) were used to compare the PK parameters derived from the two PK protocols using WinNonlin and myPKFiT. Results 28 males (median age: 12 years, range: 2-69 years) participated. The frequency distribution of clearance and the median half-life (t1/2) generated using myPKFiT is presented in Figure 1. There was a substantial to almost perfect agreement observed when comparing the PK parameters derived from the 6-point PK protocol with washout using the two PK programs (Table 1). There was a moderate to almost perfect agreement observed when comparing the PK parameters derived from the 6-point PK protocol with washout to the 2-point PK protocol with no washout using the myPKFiT program (Table 2). Conclusion The 2-point, one clinic visit, PK protocol (24 and 3 hrs) with no washout offers a convenient and practical approach to generating clinically relevant PK parameters in persons with severe hemophilia A. It can provide information relevant to selection of personalized prophylaxis regimens that aim to reduce to a minimum/eliminate spontaneous joint bleeding. Disclosures Blanchette: Shire: Other: Investigator-initiated research funding; Novo Nordisk: Other: Speaker's fees; Shire: Other: Speaker's fees; Bayer: Other: speaker's fees; Bioverativ: Other: Investigator-initiated research funding; Pfizer: Other: Speaker's fees. Jackson:Pfizer: Honoraria; Roche: Honoraria; Bayer: Honoraria; Novo Nordisk: Honoraria; Shire: Honoraria; Bioverativ: Other: Investigator initiated grant funding. Carcao:Octapharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; LFB: Honoraria, Membership on an entity's Board of Directors or advisory committees; CSL-Behring: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novo Nordisk: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Biotest: Honoraria, Membership on an entity's Board of Directors or advisory committees; Grifols: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bioverativ/Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Shire: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Khoo:Shire: Research Funding; Biogen Idec: Research Funding. Blatny:Shire, Pfizer, Roche: Consultancy, Speakers Bureau.

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)0.028
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.039
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0230.007

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 head0.115
GPT teacher head0.425
Teacher spread0.310 · 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 designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations1
Published2018
Admission routes2
Has abstractyes

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