Algorithm for Rapid Exclusion of Clinically Relevant Plasma Levels of Direct Oral Anticoagulants in Patients Using the DOAC Dipstick: An Expert Consensus Paper.
Job HarenbergRobert Charles GosselinAdam CukerCecilia BecattiniIngrid Pabinger-FaschingSven PoliJeffrey I WeitzWalter AgenoRupert M BauersachsIvana CelapPhilip M C ChoiJames D DouketisJonathan DouxfilsIsmail ElalamyAnna FalangaJawed FareedEmmanuel J FavaloroGrigorios T GerotziafasHarald HerknerSvetlana HetjensLars HeubnerRobert KlamrothForian LangerGregory Yoke Hong LipBrian Mac GrorySandra MargetićAnne E MerrelaarMarika PiktaThomas RenneSam SchulmanMichael SchwameisStrbian DanielAlfonso J TafurJulie VassartFrancesco VioliJeanine M WalengaChristel WeißPublished in: Thrombosis and haemostasis (2024)
Based on these data, a simple algorithm is proposed to enhance medical decision-making in acute care indications useful primarily in hospitals not having readily available quantitative tests and 24/7. This algorithm not only determines DOAC exposure but also differentiates between factor Xa and thrombin inhibitors to better guide clinical management.
Keyphrases
- direct oral anticoagulants
- venous thromboembolism
- machine learning
- acute care
- atrial fibrillation
- deep learning
- end stage renal disease
- healthcare
- ejection fraction
- chronic kidney disease
- newly diagnosed
- neural network
- peritoneal dialysis
- high resolution
- big data
- electronic health record
- mass spectrometry
- quantum dots
- patient reported
- sensitive detection