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

To develop a machine learning model to predict thrombus formation in atrial fibrillation patients undergoing catheter ablation while on oral anticoagulation.

Key Findings:
  • 20% of TF+ patients had solid thrombi, 80% had prethrombotic formations.
  • Mean CHA₂DS₂-VASc score for TF+ patients was 3.89.
  • ML models achieved ROC AUC of 0.886 and 0.826, outperforming CHA₂DS₂-VASc (AUC 0.641).
  • P-wave characteristics in sinus rhythm were among the top features in ML models.
Interpretation:

Remove this section.

Limitations:
  • Retrospective design may introduce selection bias.
  • External validation of the ML model is necessary.
Conclusion:

Revise to eliminate unsupported implications.

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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