Intracardiac thrombus formations despite continuous oral anticoagulation in atrial fibrillation patients undergoing catheter ablation procedures: pilot development of a machine learning prediction model - Takeaways - MDSpire

Intracardiac thrombus formations despite continuous oral anticoagulation in atrial fibrillation patients undergoing catheter ablation procedures: pilot development of a machine learning prediction model

  • By

  • F. Ratajczak

  • F. Hohendanner

  • S. Haack

  • L. Boldt

  • A. S. Parwani

  • F. Blaschke

  • M. Schneider-Reigbert

  • F. Spinka

  • M. Bock

  • A. Meyer

  • E. Heil

  • G. Hindricks

  • D. Schoeppenthau

  • June 4, 2026

  • 0 min

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  • 1

    Atrial fibrillation increases stroke risk due to thrombus formation in the left atrium, particularly in advanced atrial disease.

  • 2

    This study developed a machine learning model to predict thrombus formation in atrial fibrillation patients undergoing catheter ablation.

  • 3

    The study analyzed 149 patients, revealing that 20% had solid thrombi and 80% had prethrombotic formations despite anticoagulation.

  • 4

    Machine learning models achieved a ROC AUC of 0.886, outperforming the CHA₂DS₂-VASc score's AUC of 0.641 in predicting thrombus.

  • 5

    P-wave characteristics in sinus rhythm were identified as significant features in the machine learning model for thrombus prediction.

Original Source(s)

Intracardiac thrombus formations despite continuous oral anticoagulation in atrial fibrillation patients undergoing catheter ablation procedures: pilot development of a machine learning prediction model

  • by F. Ratajczak, F. Hohendanner, S. Haack, L. Boldt, A. S. Parwani, F. Blaschke, M. Schneider-Reigbert, F. Spinka, M. Bock, A. Meyer, E. Heil, G. Hindricks, D. Schoeppenthau

  • June 4, 2026

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