Algorithm for Rapid Exclusion of Clinically Relevant Plasma Levels of Direct Oral Anticoagulants in Patients Using the DOAC Dipstick

  • Job Harenberg
  • Robert Charles Gosselin
  • Adam Cuker
  • Cecilia Becattini
  • Ingrid Pabinger
  • Sven Poli
  • Jeffrey Ian Weitz
  • Walter Ageno
  • Rupert Bauersachs
  • Ivana Ćelap
  • Philip Choi
  • James Douketis
  • Jonathan Douxfils
  • Ismail Elalamy
  • Jawed Fareed
  • Anna Falanga
  • Emmanuel Favalor
  • Grigoris T Gerotziafas
  • Harald Herkner
  • Svetlana Hetjens
  • Robert Klamroth
  • Lars Heubner
  • Florian Langer
  • Gregory Yh Lip
  • Brain Mac Grory
  • Sandra Margetić
  • Anne Merrelaar
  • Marika Pikta
  • Thomas Renne'
  • Michael Schwameis
  • Sam Schulman
  • Daniel Strbian
  • Alfonso Tafur
  • Francesco Violi
  • Julie Vassart
  • Jeanine Walenga
  • Christel Weiss

Abstract

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.

Bibliographical data

Original languageEnglish
ISSN0340-6245
DOIs
Publication statusPublished - 08.2024

Comment Deanary

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PubMed 38316416