Individualized Prophylactic Treatment with Recombinant Factor VIII in Severe or Moderate Haemophilia a Patients. Association Between Pharmacokinetic Parameters and Clinical Variables

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3802-3802
Author(s):  
Juan Eduardo Megías-Vericat ◽  
María Remedios Marqués ◽  
Saturnino Haya ◽  
Ana Rosa Cid ◽  
Felipe Querol ◽  
...  

Abstract Background: Prophylaxis with recombinant factor VIII (rFVIII) is considered the optimal treatment for severe or moderate haemophilia A (HA). Bleeding into joints determines a proportional chronic joint damage to its frequency and severity. Knowledge of the individual's pharmacokinetics (PK) using Bayesian analysis helps to individualize prophylaxis therapy with recombinant factor VIII (rFVIII) in severe or moderate haemophilia A (HA) and minimize the risk of bleeding, extracting only 2-3 samples. Methods Retrospective study in HA patients with rFVIII (Advate®) prophylaxis from January 2014 to May of 2016. Bayesian model (myPKFit®) was employed to perform an individual PK profile using the retrospective data of rFVIII levels. PK parameters analyzed were: clearance (Cl); steady state volume (Vss); plasma half-life (t1/2); and time to reach rFVIII levels <1% (T1%). Intraindividual and interindividual coefficients of variation (CV) of the t1/2 were calculated. Besides, Kruskal-Wallis test (R® version 3.1.2) was employed in comparisons between t1/2 and clinical variables: annualized bleeding rate (ABR), annualized joint bleeding rate (AJBR), Gilbert score (GS), Pettersson scale (PS) & lower extremity affected joints detected by NMR. Results Nineteen patients were analyzed, with a mean age of 32 years (SD: 11.3; range 11-46) and 86 PK monitoring (4.5 per patient). Two patients with <15 years were excluded because t1/2 was lower than adult patients. The mean PK values in adult patients were: Cl 2.9 (0.40) mL/h/kg; Vss 50.0 (<0.001) ml/kg; t1/2 14.1 (2.1) h; and T1% 74.4 (14.4) h. The mean intraindividual CV in t1/2 was 3.6% (SD 0.02; range 0.3-6.6), whereas interindividual CV was 14.8%. We categorized t1/2 in short (<p25: 12.3 h), normal (p25-p75) and long (>p75 14.4 h), with average age of 19.5; 39.4 & 35.8 years, respectively. We detected significant differences between t1/2 and median values of joint state, but not in ABR and AJBR. The mean values of joint scores were: PS (5.5, 22.1; 17; p=0.028), GS (1, 25.9, 17.6; p= 0,008) and NMR (1.2, 2.6, 2.0; p=0.042) for short, normal and long t1/2, respectively. The limited number of patients only allows observe significant differences in patients with short t1/2, patients that also have significantly lower age (p=0.007). The younger age of these patients also justifies the lower joint damage observed. After excluding two patients <15 years significant differences in the scores of the joint state disappeared, showing that age could be a confounding variable. Conclusion PK monitoring showed a low intraindividual variability in t1/2, but significant interindividual CV. Age could modify PK parameters, so it should be assessed in an integrated manner with other clinical variables. Bayesian estimate with MyPKFit® allows know the PK profile of each patient and could be a useful tool to individualize prophylaxis adjusting by the physical activity and the bleeding pattern. We are performing a personalized one-year program to identify and treat the specific causes of poor bleeding control in prophylaxis therapy, and these are our preliminary results. Acknowledgments: This study will be supported by Baxalta grant "H15-29403". Disclosures Cid: Baxalta Innovations GmbH, now part of Shire: Other: Investigator Clinical Studies.

Haemophilia ◽  
2021 ◽  
Author(s):  
Víctor Jiménez‐Yuste ◽  
Hortensia de la Corte‐Rodríguez ◽  
María Teresa Álvarez‐Román ◽  
Mónica Martín‐Salces ◽  
Felipe Querol ◽  
...  

Haemophilia ◽  
2015 ◽  
Vol 22 (1) ◽  
pp. 72-80 ◽  
Author(s):  
B. Nolan ◽  
J. Mahlangu ◽  
D. Perry ◽  
G. Young ◽  
R. Liesner ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Daniela Neme ◽  
Isabel Ramos Mejía ◽  
Ludmila Elelhou ◽  
Patricia Do Nascimento ◽  
Maria E. Arrieta ◽  
...  

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1047-1047
Author(s):  
Chia-Yau Chang ◽  
Shiue-Wei Lai ◽  
Mei-Mei Cheng ◽  
Jung-Tzu Ku ◽  
Shu-Hsia Hu ◽  
...  

Abstract Introduction: It was well-known that severe-type patients with hemophilia A (PwHA) had great variability in bleeding phenotypes. Factors effecting bleeding patterns of PwHA include at least treatment modality and interindividual various procoagulant and anticoagulant levels. We aimed to investigate what clinical variables could predict bleeding frequency of severe PwHA and to develop models for predicting bleeding phenotypes among severe PwHA with/without FVIII prophylaxis therapy. Methods and materials: Totally 51 severe-type previously-treated PwHA from two Hemophilia Centers in Taiwan were enrolled, who received standard half life (SHL) rFVIII products with complete consecutive bleeding records at least more than 6 months, and their medical charts 2017-2018 were retrospectively viewed. The clinical data were collected for analysis, including age, body mass index (BMI), body weight (BW), ABO blood groups, hemoglobin (Hb), hematocrit (Hct), HCV infecton, HIV infection, treatment modality, baseline VWF levels, and genetic defects. Baseline VWF activity meant the data via VWF:ACL activity or VWF:RCo. Clinical variables for annualized bleeding rate (ABR) and annualized joint bleeding rate (AJBR) were evaluated by multivariate linear regression (MVLR) analysis. Results: The cohort of 51 severe-type PwHA included 8 boys and 43 adults, aged 8-64. For treatment modality, there were 19 patients receiving episodic treatment (ET) and 32 receiving prophylaxis therapy (PT) with intermediate-dose standard half life (SHL) rFVIII. The mean study period was 11.9 months, range 10-14.5 months. Among them, there were 31 with HCV infection and 4 with HIV infection. PwHA with non-O blood group were 31 and those with O blood group 20. The mean baseline VWF:Ag was 115.6±55.5%, range 50%-294.7%. The mean baseline VWF:activity was 105.4±52.1%, range 41.3%-307%. ABR of ET group and PT group were 46.1±29.2 and 6.8±7.1, respectively. (p&lt;0.0001***) AJBR of ET group and PT group were 37.3±27.7 and 6.0±6.8, respectively. (p=0.0001***) By MVLR analysis, both treatment modality and baseline VWF:Ag were recognized as inverse predictors of ABR and AJBR, and HCV infection recognized a predictor for AJBR. Age, inhibitor histroy, BMI, BW, ABO blood groups, Hct, Hb, HIV infection, and missense mutation or not were eliminated as predictors. The predictive equations by MVLR were as the following two: (1) Predictive ABR = 56.5 - 37.8 * (Treatment model) - 11.8 * baseline VWF:Ag (IU/mL). (2) Predictive e AJBR = 41.9 - 28.6 * (Treatment model) - 12.0 * baseline VWF:Ag (IU/mL) + 10.0 * (HCV infection). (1 if Treatment model is PT, 0 if Treatment model is ET. 1 if HCV infection or anti-HCV antibody is positive, 0 if HCV infection or HCV antibody is negative.) Separate prediction models developed from MVLR analysis could explain 52.51% of the ABR variability and 50.56% of the AJBR variability. The correlation between predicted and observed bleeding frequency was significantly strong.(P-rank&gt;0.7, p-value&lt;0.0001***) Mean difference between predicted ABRs and observed ABRs was 1.75 and that between predicted AJBRs and observed AJBRs was 1.27. Predicted ABR deviated &lt;21 (&lt;2 per month) of observed ABR in 42/50 patients (84%). Predicted AJBR deviated &lt; 24 (&lt;2 per month) ofobserved AJBR in 44/50 patients (88%). Conclusion: Prophylaxis therapy and baseline VWF:Ag levels were the strongest two inverse predictors for ABR and AJBR. Positive HCV infection was another predictor for AJBR. The prediction models provided with an insight into personal bleeding quantified patterns and may identify PwHA with high bleeding risks based on individual characteristics of treatment modality, baseline VWF:Ag, and HCV infection. Our approach is of help for individualized treatment and refining of dosing strategies. Disclosures No relevant conflicts of interest to declare.


2004 ◽  
Vol 92 (08) ◽  
pp. 425-426 ◽  
Author(s):  
Jean-Louis Kerkhoffs ◽  
Douwe Atsma ◽  
Pranobe Oemrawsingh ◽  
Jeroen Eikenboom ◽  
Felix Van der Meer

2008 ◽  
Vol 99 (01) ◽  
pp. 52-58 ◽  
Author(s):  
Elena Santagostino ◽  
Albert Faradji ◽  
Alfonso Iorio ◽  
Jan van der Meer ◽  
Jørgen Ingerslev ◽  
...  

SummaryThe safety of full-length sucrose-formulated recombinant factor VIII (rFVIII-FS; KOGENATE® FS) for up to 24 months of use was evaluated in a postmarketing observational study in Europe. Long-term safety and efficacy data were available for 212 patients with severe haemophilia A, including 13 previously untreated patients (PUPs) and 12 patients with 1–19 exposure days (EDs). Patients accumulated a mean (± SD) of 187 (121) EDs to rFVIII-FS and received a total of 39,627 infusions, mainly for prophylaxis and for the treatment of 4,283 spontaneous or trauma-related bleeds during an average observation time of 710 (136) days. Of these bleeding episodes, 85.4% were successfully treated with one or two infusions of rFVIII-FS. Haemostasis was also evaluated during 46 minor to major surgical pro- cedures, and the response to infusion was “excellent” or “good” in all cases. FVIII inhibitor formation was observed in six patients (two de novo; four persistent or recurrent). The de novo cases represent 8.0% (2 of 25) of patients who reported 0–19 previous EDs at study entry. Four of the five patients who reported possible drug-related adverse effects developed inhibitors. The results of this observational study demonstrate the efficacy and safety of rFVIII-FS during normal clinical use in the treatment of patients with severe haemophilia A. Furthermore, these findings are consistent with those of previous phase III clinical studies with rFVIII-FS, particularly with regard to its efficacy and low incidence of inhibitor formation.


Sign in / Sign up

Export Citation Format

Share Document