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Can Thrombin Generation Measurement Predict the Risk of Venous Thromboembolism in Acute Ill Patients

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01744431
Enrollment
400
Registered
2012-12-06
Start date
2012-12-31
Completion date
2013-09-30
Last updated
2015-12-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Venous Thromboembolism

Brief summary

Can thrombin generation measurement predict the risk of venous thromboembolism in acute ill patients Traditional coagulation tests do not assess the whole coagulation system. Thrombin generation assays measure the ability of plasma sample to generate thrombin following in vitro activation of coagulation. In contrast to the classical clotting assays, thrombin generation reflects and integrates all pro and anticoagulant reactions that regulate the formation and inhibition of thrombin. The aim of our study is to investigate whether thrombin generation would be able to predict a hypercoagulable state in acute ill patients admitted in the internal medical departments and how it correlates with the Padua prediction score, a score that could assists the risk for venous thromboembolism in hospitalized medical patients. In total 300 patients are planned for inclusion in this trial. After signing an informed consent a blood sample will be obtained from each participant. We will measure the thrombin generation over time in plasma assessed by the calibrated automated thrombogram (CAT).

Interventions

None listed

Sponsors

HaEmek Medical Center, Israel
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* signed inform consent

Exclusion criteria

* pregnant women

Design outcomes

Primary

MeasureTime frame
venous thromboembolism1 week

Countries

Israel

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026