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Updated: Jan 7, 2026

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Role of rivaroxaban in arteriovenous graft thrombosis after endovascular treatment and establishment and evaluation

Mingwei Wang1, Tingrong You2, Ran Zhang3

  • 1Department of General Surgery, The Chenggong Hospital Affiliated to Xiamen University, Xiamen, Fujian, China.

Science Progress
|December 16, 2025
PubMed
Summary

Rivaroxaban significantly improved arteriovenous graft (AVG) patency after endovascular treatment for thrombosis, reducing recurrent thrombosis risk. A predictive model aids in assessing this risk for better patient management.

Keywords:
Retrospective analysisarteriovenous graftnomogramrisk factorsrivaroxabanthrombosis

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Area of Science:

  • Vascular Surgery
  • Pharmacology
  • Medical Informatics

Background:

  • Arteriovenous graft (AVG) thrombosis is a common complication following endovascular intervention, leading to significant morbidity.
  • Effective prevention strategies and risk prediction models are crucial for managing AVG thrombosis.

Purpose of the Study:

  • To evaluate the efficacy of rivaroxaban in preventing AVG thrombosis after endovascular treatment.
  • To assess the risk of recurrent thrombosis.
  • To develop a clinically applicable predictive model for recurrent AVG thrombosis.

Main Methods:

  • Retrospective analysis of 108 patients with AVG thrombosis undergoing endovascular treatment.
  • Stratification into rivaroxaban (n=71) and control (n=37) groups.
  • Application of machine learning algorithms and logistic regression for risk factor identification and model construction.

Main Results:

  • The 12-month AVG patency rate was significantly higher in the rivaroxaban group (75%) compared to the control group (17%) (p < 0.01).
  • Lower fibrinogen levels were observed in the rivaroxaban group.
  • The developed predictive model demonstrated strong discriminative ability (C-index=0.87) and good calibration upon validation.

Conclusions:

  • Rivaroxaban demonstrates a positive effect in maintaining AVG fistula patency post-endovascular treatment for thrombosis.
  • The constructed nomogram prediction model effectively predicts the risk of recurrent thrombosis following endovascular treatment of AVG fistula thrombosis.