Why the study?
The prediction of bleeding risk is crucial for the standardized treatment of venous thromboembolism.
Do bleeding risk prediction models accurately predict bleeding events in patients with venous thromboembolism on anticoagulant therapy?
Do bleeding risk prediction models accurately predict bleeding events in patients with venous thromboembolism on anticoagulant therapy?
Existing bleeding risk prediction models for VTE have predictive value but require dynamic evaluation and further improvement.
Current models offer limited accuracy for VTE bleeding on anticoagulation; leaves open need for dynamic, improved prediction tools.
The prediction of bleeding risk is crucial for the standardized treatment of venous thromboembolism. This article introduces the definition and importance of predicting anticoagulant therapy–related bleeding in venous thromboembolism and reviews the latest research on existing anticoagulant therapy‐related bleeding risk prediction models, especially HAS‐BLED, RIETE, and VTE‐BLEED models in recent years. It is found that existing clinical factor–based bleeding risk prediction models have certain predictive significance for bleeding events, but there is still a gap compared to ideal models, and dynamic evaluation is more important. This review also explores new models for predicting bleeding risk and provides a reference for clinical physicians to develop anticoagulant strategies.
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Jiaping Zhao (2025) studied this question.
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