Background Thus far, all the clinical models developed to predict major bleeding in patients
on extended anticoagulation therapy use the baseline predictors to stratify patients into …

Objectives Anti-thrombotic therapy is the basis of thrombosis prevention and treatment.
Bleeding is the main adverse event of anti-thrombosis. Existing laboratory indicators cannot …

Background: While tools exist to predict the risk of major bleeding in patients on oral
anticoagulation therapy (OAT) for venous thromboembolism (VTE), these have focused on …

Importance: Accurately predicting major bleeding events in non-valvular atrial fibrillation
(AF) patients on direct oral anticoagulants (DOACs) is crucial for personalized treatment and …

Background Anticoagulation therapy is the mainstay of therapy for patients with venous
thromboembolism (VTE). However, continuing or stopping anticoagulants after the first 3 to 6 …

Introduction Bleeding is a common complication in patients taking warfarin. We sought to
compare the performance of nine prediction models for bleeding risk in warfarin-treated …

Background Distinguishing warfarin‐related bleeding risk at the bedside remains
challenging. Studies indicate that warfarin therapy should be suspended when international …

Objective Clinical models such as the HAS-BLED (standing for Hypertension, Abnormal
liver/renal function, Stroke history, Bleeding history or predisposition, Labile INR, Elderly …

Predictive tools for major bleeding (MB) using machine learning (ML) might be
advantageous over traditional methods. We used data from the Registro Informatizado de …

No clinical prediction model has been specifically developed or validated to identify patients
with unprovoked venous thromboembolism (VTE) who are at high risk of major bleeding …