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Development and Validation of a Predictive Model for Intracranial Haemorrhage in Patients on Direct Oral Anticoagulants.

Yuanyuan LiuLinjie LiJingge LiHangkuan LiuA GeruYulong WangYongle LiChing-Hui SiaGregory Y H LipQing YangXin Zhou
Published in: Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis (2024)
In a real-world Chinese population using DOAC therapy, this study presents a reliable predictive model for ICH risk. The XGBoost model, integrating six key risk factors, offers a valuable tool for individualized risk assessment in the context of oral anticoagulation therapy.
Keyphrases
  • direct oral anticoagulants
  • venous thromboembolism
  • risk assessment
  • risk factors
  • atrial fibrillation
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • stem cells
  • peritoneal dialysis