Impact of Adopting Population Pharmacokinetics for Tailoring Prophylaxis in Haemophilia A Patients
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Impact of Adopting Population Pharmacokinetics for Tailoring Prophylaxis in Haemophilia A Patients : A Historically Controlled Observational Study. / Stemberger, Michaela; Kallenbach, Felix; Schmit, Elisabeth; McEneny-King, Alanna; Germini, Federico; Yeung, Cindy H T; Edginton, Andrea N; von Mackensen, Sylvia; Kurnik, Karin; Iorio, Alfonso.
in: THROMB HAEMOSTASIS, Jahrgang 119, Nr. 3, 03.2019, S. 368-376.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Impact of Adopting Population Pharmacokinetics for Tailoring Prophylaxis in Haemophilia A Patients
T2 - A Historically Controlled Observational Study
AU - Stemberger, Michaela
AU - Kallenbach, Felix
AU - Schmit, Elisabeth
AU - McEneny-King, Alanna
AU - Germini, Federico
AU - Yeung, Cindy H T
AU - Edginton, Andrea N
AU - von Mackensen, Sylvia
AU - Kurnik, Karin
AU - Iorio, Alfonso
N1 - Georg Thieme Verlag KG Stuttgart · New York.
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
KW - Adolescent
KW - Adult
KW - Bayes Theorem
KW - Coagulants/administration & dosage
KW - Drug Administration Schedule
KW - Hemarthrosis/blood
KW - Hemophilia A/blood
KW - Humans
KW - Male
KW - Middle Aged
KW - Models, Biological
KW - Prospective Studies
KW - Quality of Life
KW - Retrospective Studies
KW - Severity of Illness Index
KW - Treatment Outcome
KW - Young Adult
U2 - 10.1055/s-0039-1677700
DO - 10.1055/s-0039-1677700
M3 - SCORING: Journal article
C2 - 30685872
VL - 119
SP - 368
EP - 376
JO - THROMB HAEMOSTASIS
JF - THROMB HAEMOSTASIS
SN - 0340-6245
IS - 3
ER -