Evidence map›Paper›PMID 32166266›Full record

ArticleCritical care explorations2019

A New Test for the Detection of Direct Oral Anticoagulants (Rivaroxaban and Apixaban) in the Emergency Room Setting.

Galit H Frydman, Felix Ellett, Elizabeth M Van Cott, Douglas Hayden, Maulik Majmudar, Charles R Vanderburg, Haley Dalzell, Divya L Padmanabhan, Nick Davis, Julianne Jorgensen and 3 more

Abstract read
In one paragraph

Article in Critical care explorations, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Galit H FrydmanDivision of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA.
Felix EllettBioMEMS Resource Center, Department of Surgery, Massachusetts General Hospital, Boston, MA.
Elizabeth M Van CottDepartment of Pathology, Massachusetts General Hospital, Boston, MA.
Douglas HaydenDepartment of Biostatistics, Massachusetts General Hospital, Boston, MA.
Maulik MajmudarDepartment of Cardiology, Massachusetts General Hospital, Boston, MA.
Charles R VanderburgAdvanced Tissue Resource Center, Harvard NeuroDiscovery Center, MGH, Boston, MA.
Haley DalzellDepartment of Cardiology, Massachusetts General Hospital, Boston, MA.
Divya L PadmanabhanDepartment of Cardiology, Massachusetts General Hospital, Boston, MA.
Nick DavisDivision of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA.
Julianne JorgensenBioMEMS Resource Center, Department of Surgery, Massachusetts General Hospital, Boston, MA.
Mehmet TonerBioMEMS Resource Center, Department of Surgery, Massachusetts General Hospital, Boston, MA.
James G FoxDivision of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA.
Ronald G TompkinsBioMEMS Resource Center, Department of Surgery, Massachusetts General Hospital, Boston, MA.

Funding

WOUND HEALINGP50GM021700 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI TOMPKINS, RONALD GARY · 1985 to 2017
$27.2M
TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 1985 to 2020
$25.6M
NIEHS NIH HHS P30 ES002109NIGMS NIH HHS P50 GM021700
6 · The paper itself

Abstract

Determining whether a patient has taken a direct oral anticoagulant (DOAC) is critical during the periprocedural and preoperative period in the emergency department. However, the inaccessibility of complete medical records, along with the generally inconsistent sensitivity of conventional coagulation tests to these drugs, complicates clinical decision making and puts patients at risk of uncontrollable bleeding. In this study, we evaluate the utility of inhibitor-II-X (i-II-X), a novel, microfluidics-based diagnostic assay for the detection and identification of Factor Xa inhibitors (FXa-Is) in an acute care setting.

designFirst-in-human, 91-patient, single-center retrospective pilot study.

settingEmergency room. PATIENTS: Adult patients admitted into the emergency department, which received any clinician-ordered coagulation test requiring a 3.2% buffered sodium citrate blood collection tube.

interventionsNone. MEASUREMENTS AND MAIN

resultsPlasma samples from patients admitted to the emergency department were screened for the use of FXa-Is, including apixaban and rivaroxaban, within the past 24 hours using our new i-II-X microfluidic test. i-II-X results were then compared with results from conventional coagulation tests, including prothrombin time (PT) and international normalized ratio (INR), which were ordered by treating clinicians, and an anti-Xa assay for rivaroxaban. The i-II-X test detected DOACs in samples collected from the emergency department with 95.20% sensitivity and 100.00% specificity. Unlike PT and INR, i-II-X reliably identified patients who had prolonged clotting times secondary to the presence of a FXa-I.

conclusionsThe i-II-X test overcomes the limitations of currently available coagulation tests and could be a useful tool by which to routinely screen patients for DOACs in emergency and critical care settings. Our new diagnostic approach is particularly relevant in clinical situations where medical records may be unavailable, or where precautions need to be taken prior to invasive interventions, such as specific reversal agent administration.

Indexed as

anticoagulationapixabancoagulationdiagnosticemergencyrivaroxaban

Identifiers

PMID32166266
PMCPMC7063952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.