Algorithm for Rapid Exclusion of Clinically Relevant Plasma Levels of Direct Oral Anticoagulants in Patients Using the DOAC Dipstick : An Expert Consensus Paper

Thieme. All rights reserved..

BACKGROUND:  With the widespread use of direct oral anticoagulants (DOACs), there is an urgent need for a rapid assay to exclude clinically relevant plasma levels. Accurate and rapid determination of DOAC levels would guide medical decision-making to (1) determine the potential contribution of the DOAC to spontaneous or trauma-induced hemorrhage; (2) identify appropriate candidates for reversal, or (3) optimize the timing of urgent surgery or intervention.

METHODS AND RESULTS:  The DOAC Dipstick test uses a disposable strip to identify factor Xa- or thrombin inhibitors in a urine sample. Based on the results of a systematic literature search followed by an analysis of a simple pooling of five retrieved clinical studies, the test strip has a high sensitivity and an acceptably high negative predictive value when compared with levels measured with liquid chromatography tandem mass spectrometry or calibrated chromogenic assays to reliably exclude plasma DOAC concentrations ≥30 ng/mL.

CONCLUSION:  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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Thrombosis and haemostasis - (2024) vom: 08. März

Sprache:

Englisch

Beteiligte Personen:

Harenberg, Job [VerfasserIn]
Gosselin, Robert C [VerfasserIn]
Cuker, Adam [VerfasserIn]
Becattini, Cecilia [VerfasserIn]
Pabinger, Ingrid [VerfasserIn]
Poli, Sven [VerfasserIn]
Weitz, Jeffrey [VerfasserIn]
Ageno, Walter [VerfasserIn]
Bauersachs, Rupert [VerfasserIn]
Celap, Ivana [VerfasserIn]
Choi, Philip [VerfasserIn]
Douketis, James [VerfasserIn]
Douxfils, Jonathan [VerfasserIn]
Elalamy, Ismail [VerfasserIn]
Falanga, Anna [VerfasserIn]
Fareed, Jawed [VerfasserIn]
Favaloro, Emmanuel J [VerfasserIn]
Gerotziafas, Grigorios [VerfasserIn]
Herkner, Harald [VerfasserIn]
Hetjens, Svetlana [VerfasserIn]
Heubner, Lars [VerfasserIn]
Klamroth, Robert [VerfasserIn]
Langer, Forian [VerfasserIn]
Lip, Gregory Y H [VerfasserIn]
Grory, Brian Mac [VerfasserIn]
Margetić, Sandra [VerfasserIn]
Merrelaar, Anne [VerfasserIn]
Pikta, Marika [VerfasserIn]
Renne, Thomas [VerfasserIn]
Schulman, Sam [VerfasserIn]
Schwameis, Michael [VerfasserIn]
Strbian, Daniel [VerfasserIn]
Tafur, Alfonso [VerfasserIn]
Vassart, Julie [VerfasserIn]
Violi, Francesco [VerfasserIn]
Walenga, Jeanine [VerfasserIn]
Weiss, Christel [VerfasserIn]

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Date Revised 08.03.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1055/a-2261-1811

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368056813