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
newly diagnosed
chronic kidney disease
stem cells
prognostic factors
heavy metals
patient reported outcomes
cell therapy
human health
replacement therapy