| Literature DB >> 35291723 |
Christian-Alexander Behrendt1, Ulrich Rother2, Christian Uhl3, Hartmut Goertz4, Konstantinos Stavroulakis5, Alexander Gombert6.
Abstract
Although patients with peripheral arterial disease (PAD) are at a high risk of major bleeding owing to their comorbidity and risk profile, no validated tools exist to predict bleeding risk. To make matters worse, several randomized and controlled trials have excluded patients who are at a high risk of bleeding. Using routine health insurance claims data and machine learning methods, a pragmatic prediction model was developed and internally validated. The OAC3-PAD risk score identified eight variables that can predict major bleeding events within 1 year of inpatient treatment for PAD. This risk score can help to carry out a tailored patient-centered risk-benefit assessment in order to obtain the maximum potential from available antithrombotic treatment strategies.Entities:
Keywords: Antithrombotics; Bleeding; Coagulation; PAD; Risk Prediction
Year: 2022 PMID: 35291723 PMCID: PMC8913852 DOI: 10.1007/s00772-022-00881-6
Source DB: PubMed Journal: Gefasschirurgie ISSN: 0948-7034
