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Inhibitor Importance. Serious complication of treatmentLife-changing experience for patientsResults in vastly increased cost of careRisk of inhibitors likely affects careMay be a barrier to availability of new and novel productsDifficulties in the assessment of inhibitor risk in clinical trials
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1. Studies of InhibitorsOpportunities for Harmonization World Federation of Hemophilia
Global Forum
Montreal, Canada
September 25, 2009
2. Inhibitor Importance Serious complication of treatment
Life-changing experience for patients
Results in vastly increased cost of care
Risk of inhibitors likely affects care
May be a barrier to availability of new and novel products
Difficulties in the assessment of inhibitor risk in clinical trials of new products
3. FDA Requests 2003 FDA Workshop on Clinical Study Design
Inhibitor titers done at a central lab
Number of exposure days should be captured
Genomic screening of enrollees
Any product switch should be recorded
Any lack of effect (defined as increase in dose or frequency of dosing) should be recorded
International collaboration
4. EMEA Guidelines Expert meeting held in February 2006
Detailed information on product exposure
Inhibitor testing
Should use Nijmegen method
Quality control is important
Testing on regular basis, prior to product switch and in response to a clinical indication of inhibitor
Hemophilia gene defect
International harmonization of datasets
5. Global Harmonization
2006 ISTH FVIII & FIX Subcommittee meeting
Comparison of US and UK data elements
Suggestions for possible harmonization
Sharing of data collection instruments
2007 ISTH FVIII & FIX Subcommittee meeting
Presentation of plan by UK and Germany for harmonized data collection on inhibitors
6. Inhibitor Research Challenges Characterization and risk assessment of rare adverse events is methodologically difficult
Evaluation of treatment product risk using a probabilistic model is imperfect
Clinical trial methodology is problematic
Sample size not adequate to fully assess risk
Incomplete assessment of risk factors
Randomization to larger population is problematic
7. Epidemiologic Issues Estimates of risk based on probability
100% certainty possible with entire population
Practical approach is to take a sample
Confidence about estimate related to sample size
Larger the sample the more confidence
Other factors that drive sample size
Magnitude of the risk that is being measured
The number of risk factors under examination
8. Problems with Inhibitors Hemophilia is a rare disorder – study population is widely distributed
Inhibitors are a rare event – must study a large population to achieve adequate case numbers
Many possible risk factors
Genetic (e.g., mutation, immune modifiers, family history, race)
Environmental (e.g., factor product, circumstances of infusion)
9. What is being done? Several studies are underway examining various aspects of inhibitor development
What are the variations in:
Study methodologies
Target populations
Data elements
To what extent have the studies been harmonized?
Are there opportunities for harmonization and collaboration?
10. Objectives Review some of the current inhibitor studies
Examine the data collected
Evaluate the level of harmonization
Explore opportunities for harmonization
Discuss possible collaborations
Identify strategies moving forward
12. Pilot Study of Surveillancefor Inhibitors in the U.S. Data coordinator support for factor exposure data and to ensure annual blood testing
Explore methodologies to collect required treatment and bleeds information
Centralized inhibitor testing at CDC
Hemophilia gene sequencing at CDC
12 HTCs selected for pilot – each to enroll 50 patients (3 sites to enroll babies)
13. Study Design Prospective cohort
Eligibility – Hemophilia A or B; <50% FA; all ages
Ongoing factor exposure data collection
Inhibitor testing
Annually
Prior to planned product switch
Clinical indication
Complete gene sequencing
14. Inhibitor Methods Modification of Nijmegen-Bethesda method
Commercially-prepared buffered normal pooled plasma (BNPP)
FVIII-deficient plasma with VWF present
Plasma of known titer run with each assay
Screen with 3:1 mix of patient and BNPP
Positives repeated at multiple dilutions
15. Mutation Analysis Methods Inversions of intron 22 and intron 1 in the FVIII gene are examined by PCR.
The FVIII and FIX genes are resequenced in both directions by automated sequencer, using equipment and protocols from Applied Biosystems.
The promoter, exons, intron-exon junction regions, and the 3’ untranslated regions of both genes are examined on all patients.
16. Cumulative Enrollment
17. Study Population: Demographics
Age
Mean: 22.4 years
Range: Age 6 months – 87 years
11% under 6 years of age
Race
White 82.1%
African American 7.1%
Hispanic 6.2%
Asian 1.3%
18. Study Population Factor Deficiency
VIII : 81.3%
IX : 18.7%
Historical exposure days (ED) at enrollment
0 – 20 ED in 22.8%
21 – 100 ED in 14.1%
101 – 150 ED in 7.9%
> 150 ED in 55.2%
History of an Inhibitor: 13.7%
19. Follow-Up Time 1754.41 person-years follow up
Mean follow-up time: 2.1 years
Range 1 month – 3.55 years
Withdrawal rate is about 8%
6.3% lack of compliance with logs
Patient transfers and other reasons
20. Inhibitor Surveillance Pilot ProjectSpecimens Received as of 7/31/2009
22. Mutation Analyses 241 unique FVIII mutations found
117 (47%) not reported in HAMSTeRS or publications
48 unique FIX mutations found
8 not reported in the hemophilia B mutation database
23. Pilot Sites Emory University, Atlanta GA
Vanderbilt University Medical Center, Nashville, TN
Kansas City Regional Hemophilia Center, Kansas City, MO
New England Hemophilia Center, Worcester, MA
Comprehensive Bleeding Disorders Center, Peoria, IL
University of Iowa Hospitals & Clinics, Iowa City, IA
University of Michigan Hemophilia and Coagulation Disorders, Ann Arbor, MI
Virginia Commonwealth University, Richmond, VA
Indiana Hemophilia and Thrombosis Center, Indianapolis, IN
Children’s Healthcare of Atlanta, Atlanta, GA
Mountain States Regional Hemophilia and Thrombosis Center, Denver, CO
Phoenix Children's Hospital Hemophilia Center, Phoenix, AZ
24. Acknowledgements Barbara Konkle, MD
Nigel Key, MD
Brian Wicklund, MD
Pam Bryant, RN
Ann Forsberg, MA, MPH
Jan Kuhn, RN
25. Study Comparisons 1
26. Study Comparisons 2
27. Study Comparisons 3
28. Study Comparisons 4
29. Study Comparisons 5