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Measurement of Factor V Activity in Human Plasma Using a Microplate Coagulation Assay
Published on: September 9, 2012
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Non-linear association of coagulation factor XI with mortality
Katsiaryna Prystupa1, Martin Heni2, Sebastian Hörber3
1Institute for Clinical Diabetology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich-Heine University, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Neuherberg, Germany.
Med (New York, N.Y.)
|December 27, 2025
Summary
Coagulation factor XI (FXI) activity shows a U-shaped link to mortality in coronary artery disease (CAD) patients. Higher FXI activity increases mortality risk in CAD, unlike in non-CAD individuals.
Area of Science:
- Cardiovascular Medicine
- Hemostasis Research
- Clinical Trials
Background:
- Coagulation factor XI (FXI) plays a role in thrombosis and myocardial function.
- Understanding FXI's impact on mortality is vital for treating coronary artery disease (CAD).
Purpose of the Study:
- To investigate the association between coagulation factor XI (FXI) activity and mortality risk.
- To explore how CAD and NT-proBNP levels modify this relationship.
Main Methods:
- Analysis of 3,170 participants undergoing coronary angiography, with 67% diagnosed with CAD.
- Median follow-up of 14.5 years, assessing mortality risk using Cox models.
- Exploration of interactions between FXI activity, NT-proBNP, and CAD status.
Main Results:
- A U-shaped association between FXI activity and mortality was observed (p=0.027), with lowest risk at 115.6% FXI activity.
- This U-shaped pattern persisted in patients without CAD.
- In CAD patients, higher FXI activity showed a linear correlation with increased mortality (p-interaction < 0.0001), significantly modified by NT-proBNP levels.
Conclusions:
- FXI activity has a dual role in hemostasis with implications for drug development.
- Treatment strategies targeting FXI may require personalization based on cardiovascular conditions.
- Future FXI inhibitor studies must consider modulating factors like CAD and NT-proBNP for optimized therapies.
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