The Predictive Value of Thromboelastogram in the Evaluation of Patients with Suspected Acute Venous Thromboembolism release_y7cqqda3bjgr3bnq4pbr6hozc4

by Tareq Abu Assab, David Raveh-Brawer, Julia Abramowitz, Mira Naamad, Chezi Ganzel


The objective of this prospective study was to examine whether thromboelastogram (TEG) can predict the presence of venous thromboembolism (VTE) in patients who arrive at the emergency room with signs/symptoms that raise the suspicion of acute VTE. Every patient was tested for D-dimer and all TEG parameters, including: reaction time, clot time formation, alpha-angle, maximal amplitude, clot viscoelasticity, coagulation index, and clot lysis at 30 min. For categorical variables, χ2 or the Fisher exact test were used, and for continuous variables the t test or other non-parametric tests were used. During 2016, a total of 109 patients were enrolled with a median age of 55.7 (21-89) years. Eighteen patients were diagnosed with VTE. Analyzing the different TEG parameters, both as continuous and categorical variables, did not reveal a statistically significant difference between VTE-positive and VTE-negative patients. Combining different TEG parameters or dividing the cohort according to gender, clinical suspicion of VTE (Well's criteria), or different levels of D-dimer did not change the results of the analysis. The current study could not demonstrate a significant value of any TEG parameter as a predictor of VTE among patients who came to the emergency room with signs/symptoms that raise the suspicion of VTE.
In text/plain format

Published in Acta Haematologica by S. Karger AG
ISSN-L 0001-5792
Volume 143
Issue 3
Page(s) 1-6
Release Date 2019-09-11
Publisher S. Karger AG
Primary Language en (lookup)

Known Files and URLs

There are no accessible files associated with this release. You could check other releases for this work for an accessible version.

No Full Text Available "Save Paper Now"
Know of a fulltext copy of on the public web? Submit a URL and we will archive it
Type  article-journal
Stage   published
Date   2019-09-11
DOI  10.1159/000502348
PubMed  31509839
Container Metadata
Unknown OA Status
Not in DOAJ
ISSN-L:  0001-5792
Fatcat Entry
Work Entity
grouping other versions (eg, pre-print) and variants of this release
Cite This Release
Fatcat Bits

State is "active". Revision:
As JSON object via API