IV-041

Pharmacokinetic-Pharmacodynamic Modelling of Von Willebrand Factor/Factor VIII Prophylaxis in Von Willebrand Disease

Jelien Den Hollander 1, Sjoerd Koopman 1, Marjon Cnossen 2, Robert Sidonio Jr. 3, Ron Mathôt 1

1 Hospital Pharmacy-Clinical Pharmacology, Amsterdam UMC (Amsterdam, The Netherlands), 2 Department of Pediatric Hematology and Oncology, Erasmus MC Sophia Children’s Hospital (Rotterdam, The Netherlands), 3 Department of Pediatrics, Emory University School of Medicine (Atlanta, The United States)

Introduction
Von Willebrand Disease (VWD) is the most common inherited bleeding disorder, caused by a quantitative deficiency or qualitative dysfunction of Von Willebrand Factor (VWF) [1]. As VWF protects factor VIII (FVIII) from premature degradation, FVIII levels may also be reduced [1]. Long-term prophylaxis with a VWF concentrate is recommended in patients experiencing severe and frequent bleeding episodes [2]. Heterogeneous breakthrough bleeding patterns, however, suggest considerable interindividual variability (IIV) in pharmacokinetic (PK) exposure [3]. In turn, this advocates for the use of PK-guided dosing to enable individualised prophylactic therapy.

Objectives
To develop a population pharmacokinetic (popPK) model for the plasma-derived VWF/FVIII concentrate with a 1:1 activity ratio (Wilate®) in patients with severe VWD and to explore the relationship between VWF/FVIII activity and bleeding events during prophylaxis.

Methods
A nonlinear mixed-effects PK modelling approach was applied to VWF:ristocetin cofactor activity (VWF:RCo) and FVIII activity (FVIII:C) data from paediatric and adult patients enrolled in one prospective single-dose study (WIL-12) [4] and two one-year prospective phase 3 prophylaxis trials (WIL-31: NCT04052698, and WIL-33: NCT04953884) [3].
During popPK development, one- and two-compartment models were evaluated. The inclusion of IIV on all PK parameters, covariance structures, inter-occasion variability, study-specific residual error model structures, and a potential interaction between VWF:RCo exposure and FVIII:C clearance were assessed. Two model components were included a priori: 1) a turnover component describing endogenous production and elimination of VWF:RCo/FVIII:C, and 2) allometric scaling with fixed exponents. Sex, VWD subtype, blood group and study were evaluated as covariates on all PK parameters using a stepwise covariate modelling approach.

The lower limits of quantification (LLOQ) were 5.0 IU/dL for VWF:RCo and 3.1 IU/dL for FVIII:C. Observations below the LLOQ were handled using the M3 method. Model evaluation was performed using goodness-of-fit (GOF) plots, prediction-corrected visual predictive checks (pcVPCs) and bootstrap analysis (n=1000).

In the pharmacodynamic analysis, individual post-hoc PK profiles were constructed, and VWF/FVIII activity levels were retrospectively assessed at time of bleeding for patients included in WIL-31 and WIL-33.

Results
62 patients were included with a median age of 18.5 years (range: 1–68 years) and a median body weight of 59.5 kg (12.5-138.3 kg). Eleven patients (18%) had VWD type 1, thirteen (21%) type 2A, two (3%) type 2B, two (3%) type 2M, and thirty-four (55%) type 3. A total of 825 VWF:RCo and 855 FVIII:C activity levels were available, of which 19% and 12%, respectively, were below the LLOQ.

A two-compartment turnover model best described the activity over time data of both VWF:RCo and FVIII:C. For a typical 70 kg individual, VWF:RCo clearance was 3.1 dL/h (coefficient of variation (CV): 51%) and FVIII:C clearance was 1.7 dL/h (CV: 47%). Corresponding central volume of distributions were 40.6 dL (CV: 22.4%) for VWF:RCo and 35.6 dL (CV: 21.3%) for FVIII:C. No interaction between VWF:RCo exposure and FVIII:C clearance, nor covariance between their clearance IIV terms, was detected. The GOF plots, pcVPCs, and bootstrap of the final models demonstrated adequate model performance.

A total of 83 spontaneous and 61 traumatic bleeding events occurred in 27 patients. Fifty percent of the spontaneous and traumatic bleedings occurred at VWF:RCo activity levels below 3.6 IU/dL (range: 1.5–53) and 3.9 IU/dL (range: 1.8–45.0), respectively. Corresponding FVIII:C activity levels were 13.6 IU/dL (range: 1.3–72.1) and 13.5 IU/dL (range: 1.3–68.7), respectively.

Conclusion
We developed a popPK model for a plasma-derived VWF/FVIII 1:1 concentrate that characterises the PK of both VWF:RCo and FVIII:C in VWD patients receiving prophylaxis. This model may support clinicians in personalising long-term prophylaxis by enabling assessment of individual PK exposure metrics, including trough activity levels, area under the curve, time above predefined thresholds and VWF:RCo and FVIII:C activity levels at the time of bleeding events.

References:
References
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Reference: PAGE 34 (2026) Abstr 11973 [www.page-meeting.org/?abstract=11973]

Poster: Drug/Disease Modelling - Other Topics