Evidence map›Paper›PMID 39211886›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Utility of thromboelastography to assess the effect of anticoagulation reversal in intracranial hemorrhage.

A Zepeski, B A Faine, M Ghannam, H M Olalde, L Wendt, A Naidech, N M Mohr, E C Leira

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

B A Faine
M Ghannam
H M Olalde
A Naidech

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intracranial hemorrhage (ICH) is a serious complication associated with oral anticoagulant use and is associated with significant morbidity and mortality. Although anticoagulation reversal agents are utilized as standard of care, practitioners are limited in their ability to assess degree of anticoagulation reversal for direct oral anticoagulants (DOACs). There is a clinical need identify biomarkers to assess anticoagulation status in patients with DOAC-associated ICH to ensure hemostatic efficacy of anticoagulation reversal agents in the acute setting. The purpose of this study was to assess the utility of thromboelastography (TEG) to assess the impact of anticoagulation reversal in patients presenting to the emergency department (ED) with DOAC-associated ICH. Methods: We conducted a prospective, observational cohort study in adult patients presenting to the ED with acute DOAC-associated ICH. Patients were excluded if last DOAC dose was >48 hours prior to hospital arrival, if they experienced polytrauma, were pregnant, incarcerated, had a history of hepatic failure or coagulopathy, or received anticoagulation reversal with products other than prothrombin complex concentrates (PCCs). We collected baseline TEG samples from participants prior to anticoagulation reversal, as well as 30-minutes, 12-hours, and 24-hours post-reversal. TEG samples were also collected from participants who transferred to our facility after reversal at ED presentation, as well as 12- and 24-hours post-reversal. Results: Pre-reversal TEG was collected on 10 participants prior to DOAC reversal. A significant decrease in TEG R-time was observed at 30 minutes post-reversal. R-time increased at 12- and 24-hours to baseline levels. Significant changes were not observed in K-time, clot strength, maximum amplitude, or coagulation index. Conclusions: TEG R-time may be able to detect a change in anticoagulation activity of DOACs in ICH after anticoagulation reversal. R-time decreases acutely after anticoagulation reversal and rebounds at 12- and 24-hours post-reversal.

Identifiers

PMID39211886
PMCPMC11361207

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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.