Algorithm for rapid exclusion of clinically relevant plasma levels of DOACs in patients using the DOAC Dipstick. An expert consensus paper. An Expert Consensus Paper

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Job Harenberg - , Universität Heidelberg, DOASENSE GmbH (Autor:in)
  • Robert C. Gosselin - , California State University Sacramento (Autor:in)
  • Adam Cuker - , California State University Sacramento (Autor:in)
  • Cecilia Becattini - , Universität Heidelberg (Autor:in)
  • Ingrid Pabinger - , California State University Sacramento (Autor:in)
  • Sven Poli - , California State University Sacramento (Autor:in)
  • Jeffrey I. Weitz - , California State University Sacramento (Autor:in)
  • Walter Ageno - , California State University Sacramento (Autor:in)
  • Rupert Bauersachs - , California State University Sacramento (Autor:in)
  • Ivana Ćelap - , California State University Sacramento (Autor:in)
  • Philip Choi - , California State University Sacramento (Autor:in)
  • James Douketis - , California State University Sacramento (Autor:in)
  • Jonathan Douxfils - , California State University Sacramento (Autor:in)
  • Ismail Elalamy - , California State University Sacramento (Autor:in)
  • Jawed Fareed - , California State University Sacramento (Autor:in)
  • Anna Falanga - , California State University Sacramento (Autor:in)
  • Emmanuel Fa-Valor - , California State University Sacramento (Autor:in)
  • Grigoris T. Gerotziafas - , California State University Sacramento (Autor:in)
  • Harald Herkner - , California State University Sacramento (Autor:in)
  • Svetlana Hetjens - , California State University Sacramento (Autor:in)
  • Robert Klamroth - , California State University Sacramento (Autor:in)
  • Lars Heubner - , Klinik und Poliklinik für Anästhesiologie und Intensivtherapie (Autor:in)
  • Florian Langer - , California State University Sacramento (Autor:in)
  • Gregory Y. Lip - , California State University Sacramento (Autor:in)
  • Brain Mac Grory - , California State University Sacramento (Autor:in)
  • Sandra Margetić - , California State University Sacramento (Autor:in)
  • Anne Merrelaar - , California State University Sacramento (Autor:in)
  • Marika Pikta - , California State University Sacramento (Autor:in)
  • Thomas Renne - , California State University Sacramento (Autor:in)
  • Michael Schwameis - , California State University Sacramento (Autor:in)
  • Sam Schulman - , California State University Sacramento (Autor:in)
  • Daniel Strbian - , California State University Sacramento (Autor:in)
  • Alfonso Tafur - , California State University Sacramento (Autor:in)
  • Francesco Violi - , California State University Sacramento (Autor:in)
  • Julie Vassart - , California State University Sacramento (Autor:in)
  • Jeanine Walenga - , California State University Sacramento (Autor:in)
  • Christel Weiss - , Universität Heidelberg (Autor:in)

Abstract

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 (a) determine the potential contribution of the DOAC to spontaneous or trauma-induced hemorrhage; (b) identify appropriate candidates for reversal, or (c) optimize the timing of urgent surgery or intervention. 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 >30ng/mL. 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.

Details

OriginalspracheEnglisch
Seiten (von - bis)770-777
Seitenumfang8
FachzeitschriftThrombosis and haemostasis
Jahrgang124
Ausgabenummer8
PublikationsstatusVeröffentlicht - Aug. 2024
Peer-Review-StatusJa

Externe IDs

Scopus 85184774335
Mendeley 9fa0e1cf-866b-355c-8841-a527565a87d9

Schlagworte

Schlagwörter

  • Humans, Factor Xa Inhibitors/blood, Administration, Oral, Algorithms, Consensus, Hemorrhage, Predictive Value of Tests, Drug Monitoring/methods, Anticoagulants/therapeutic use, Clinical Decision-Making, Antithrombins, Reagent Strips, Tandem Mass Spectrometry, Reproducibility of Results