Thrombin Generation Numerical Models Validation in Haemophilic Case
2 other identifiers
observational
40
1 country
1
Brief Summary
Personalized therapy in haemophilia has not been reached yet. Treatment is substitutive and its doses are only based on the levels of deficient factor VIII (for haemophilia A) or IX (for haemophilia B). The bleeding severity is not only related to the factor deficiency but also to levels of other coagulation factors (e.g. factor X, II, AT or TFPI). It's necessary to take them into account in order to individualize treatments; and Thrombin Generation Assay (TGA) with the CAT method (Calibrated Automated Thrombography) is a good way because it measures the result of the coagulation cascade. TGA on Platelet Rich Plasma (PRP) is even closer to physiological conditions than on Platelet Poor Plasma (PPP) because platelet influence is represented. It has already been shown (at least in PPP) that the bleeding tendency in haemophilic patients is usually well correlated to TG. Some TG parameters are used to characterize the individual coagulation phenotype, the most important being the Endogenous Thrombin Potential (ETP) and the Lag Time (LT). A hemorrhagic profile usually provides a longer lag time and / or a lower ETP. However, only few studies tried to determine the influence of each coagulation factor and inhibitor on TG. They were done on Platelet Poor Plasma (PPP) or on lyophilized plasma. So the relation between coagulation factors and the different TG parameters remains to be determined, especially in the haemophilic case. It is possible, experimentally, to find the optimal dose of the factor to be added by measuring TG in samples with different factor VIII or IX concentrations, but this method would be time consuming and expensive, especially because it should be done for each haemophilic patient. A better way consists in using TG numerical models. For a set of initial factor levels they simulate the TG and its associated parameters. It is now essential to validate the existing models, especially in haemophilic cases, in order to see whether they are reliable and can be used in clinical practice afterwards.The objective of this study is to validate thrombin generation numerical models which could predict the factor VIII or IX activity correction to reach a thrombin generation sufficient to avoid bleeding. A comparison between the TG observed in haemophilic patients and the TG predicted by the models is needed to validate the models. In order to define a 'safe' TG i.e. sufficient to avoid bleeding, normal ranges of TG parameters have to be measured.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Mar 2015
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 18, 2014
CompletedFirst Posted
Study publicly available on registry
November 25, 2014
CompletedStudy Start
First participant enrolled
March 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2015
CompletedAugust 13, 2015
August 1, 2015
4 months
November 18, 2014
August 12, 2015
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Endogenous Thrombin Potential (ETP) predicted by numerical models
ETP (i.e. the aera under the thrombin generation curve, nM.min) measured in haemophilic patients is compared to ETP predicted by numerical models.
up to 12 monthes
Lag Time of the thrombin generation curve predicted by numerical models
Lag time (min) measured in haemophilic patients is compared to the lag time predicted by numerical models
up to 12 monthes
Peak value of the thrombin generation curve predicted by numerical models
Peak value (nmol thrombin) measured in haemophilic patients is compared to the peak value predicted by numerical models
up to 12 monthes
Time to peak (TTP) of the thrombin generation curve predicted by numerical models
TTP (min) measured in haemophilic patients is compared to TTP predicted by numerical models
up to 12 monthes
Velocity Index (V) of the thrombin generation curve predicted by numerical models
Velocity Index measured in haemophilic patients is compared to TTP predicted by numerical models
up to 12 monthes
Secondary Outcomes (5)
Endogenous Thrombin Potential (ETP) for volunteers
day 1
Lag Time of the thrombin generation curve for volunteers
day 1
Peak value of the thrombin generation curve for volunteers
day 1
Time to peak (TTP) of the thrombin generation curve for volunteers
day 1
Velocity Index (V) of the thrombin generation curve for volunteers
day 1
Study Arms (1)
Volunteers
Blood sampling : 1 blood punction of 36.5 ml for each volunteer
Interventions
Samplings will be taken on 4 citrated S-monovette tubes, 3 citrated tubes and 1 EDTA tube, namely 36.5 ml for each volunteer
Eligibility Criteria
volunteers witch work in CHU Saint-Etienne
You may qualify if:
- Signed consent form
- Age between 18 and 45 years old
- Male
- no smoker
You may not qualify if:
- Personal or familial history of hemorrhagic disease (parents, brothers and sisters
- Personal history of thrombosis (arterial or venous)
- Familial history of thrombosis before 45 years old (parents, brothers and sisters)
- Drug treatments of aspirin or anti-inflammatory type during the week before sampling
- Surgery the month before sampling
- Chronic pathology responsible for inflammatory syndrome
- Infectious episode in course
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Centre Hospitalier Universitaire de Saint Etiennelead
- Pfizercollaborator
- Saint Etienne School of Minecollaborator
Study Sites (1)
Chu Saint-Etienne
Saint-Etienne, 42055, France
Biospecimen
blood
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Brigitte TARDY-PONCET, MD
CHU SAINT-ETIENNE
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 18, 2014
First Posted
November 25, 2014
Study Start
March 1, 2015
Primary Completion
July 1, 2015
Study Completion
July 1, 2015
Last Updated
August 13, 2015
Record last verified: 2015-08