To unlock this feature and to subscribe to our weekly evidence emails, please create a FREE orthoEvidence account.

SIGNUP

Already Have an Account?

Loading...
Visit our Evidence-Based Covid-19 Website and Stay Up to Date with the latest Research.
Ace Report Cover

EFORT: Peri-articular & intravenous TXA similar for hemostasis in total knee arthroplasty

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
June 2014

EFORT: Peri-articular & intravenous TXA similar for hemostasis in total knee arthroplasty

Vol: 3| Issue: 6| Number:73| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Peri-articular injection of tranexamic acid in reducing postoperative blood loss in total knee arthroplasty: Does it work? A randomized controlled trial

Contributing Authors:
P Pinsornsak

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

CONFERENCE ACE REPORTS

This ACE Report is a summary of a conference presentation or abstract. The information provided has limited the ability to provide an accurate assessment of the risk of bias or the overall quality. Please interpret the results with caution as trials may be in progress and select results may have been presented.

Synopsis

60 patients scheduled for total knee arthroplasty were randomized to tranexamic acid (750mg) administration either through peri-articular injections or intravenous injection. The purpose of this study was to compare visible postoperative blood loss, hemoglobin drop, transfusion incidence, and the rate of venous thromboembolic (VTE) complications. Hemostatic outcomes were measured at 48 hours posto...

CME Image

Did you know that you’re eligible to earn 0.5 CME credits for reading this report!

LEARN MORE

Join the Conversation

Please Login or Join to leave comments.

Learn about our AI Driven
High Impact Search Feature

High Impact Icon

Our AI driven High Impact metric calculates the impact an article will have by considering both the publishing journal and the content of the article itself. Built using the latest advances in natural language processing, OE High Impact predicts an article’s future number of citations better than impact factor alone.

Continue