Impact of Adopting Population Pharmacokinetics for Tailoring Prophylaxis in Haemophilia A Patients: A Historically Controlled Observational Study

Thromb Haemost. 2019 Mar;119(3):368-376. doi: 10.1055/s-0039-1677700. Epub 2019 Jan 27.

Abstract

Background: Performing individual pharmacokinetics (PK) studies in clinical practice can be simplified by adopting population PK-based profiling on limited post-infusion samples. The objective of this study was to assess the impact of population PK in tailoring prophylaxis in patients with haemophilia A.

Patients and methods: Individual weekly treatment plans were developed considering predicted plasma factor activity levels and patients' lifestyle. Patients were trained using a visual traffic-light scheme to help modulate their level of physical activity with respect to factor infusions timing. Annualized joint bleeding rate (ABJR), haemophilia-specific quality of life questionnaire for adults (Haemo-QoL-A) and factor utilization were measured for 12 months before and after tailoring, compared within patients and analysed separately for those previously on prophylaxis (P), situational prophylaxis (SP) or on-demand (OD).

Results: Sixteen patients previously on P, 10 on SP and 10 on OD were enrolled in the study. The median (lower, upper quartile) ABJR changed from 2.0 (0, 4.0) to 0 (0, 1.6) for P (p = 0.003), from 2.0 (2.0, 13.6) to 3.0 (1.4, 7.2) for SP (p = 0.183) and from 16.0 (13.0, 25.0) to 2.3 (0, 5.0) for OD (p = 0.003). The Haemo-QoL-A total score improved for 58% of P, 50% of SP and 29% of OD patients. Factor utilization (IU/kg/patient/year) increased by 2,400 (121; 2,586) for P, 1,052 (308; 1,578) for SP and 2,086 (1,498; 2,576) for OD. One of 138 measurements demonstrated a factor activity level below the critical threshold of 0.03 IU/mL while the predicted level was above the threshold.

Conclusion: Implementing tailored prophylaxis using a Bayesian forecasting approach in a routine clinical practice setting may improve haemophilia clinical outcomes.

Publication types

  • Observational Study

MeSH terms

  • Adolescent
  • Adult
  • Bayes Theorem
  • Coagulants / administration & dosage
  • Coagulants / adverse effects
  • Coagulants / pharmacokinetics*
  • Drug Administration Schedule
  • Hemarthrosis / blood
  • Hemarthrosis / diagnosis
  • Hemarthrosis / prevention & control*
  • Hemophilia A / blood
  • Hemophilia A / diagnosis
  • Hemophilia A / drug therapy*
  • Humans
  • Male
  • Middle Aged
  • Models, Biological*
  • Prospective Studies
  • Quality of Life
  • Retrospective Studies
  • Severity of Illness Index
  • Treatment Outcome
  • Young Adult

Substances

  • Coagulants