Literature DB >> 32042229

Is TKA with computer-assisted navigation associated with less blood loss? A comparative study between computer-navigated and conventional method.

Diamantis Mitsiou1, Emilios E Pakos2, Dimitrios V Papadopoulos2, Giorgos Georgiadis1, Ioannis D Gelalis2, Andreas G Tsantes3, Ioannis Gkiatas4, Nikos Kalos1, Theodoros A Xenakis1.   

Abstract

The aim of this study is to evaluate whether computer-assisted navigated TKA reduces perioperative blood loss. Patients were randomly divided into 2 groups and underwent either a conventional TKA (n = 40) or a TKA with computer-assisted navigation (n = 40). Perioperative blood loss was evaluated by laboratory parameters, postoperative drain output and number of required transfusions. Change in hemoglobin concentration and in hematocrit levels was similar. Also, there was no statistically significant difference in drain output and in the number of transfused units. The results of this study showed that TKA with computer-assisted navigation is similar to the conventional TKA regarding perioperative hemorrhage.
© 2020 Professor P K Surendran Memorial Education Foundation. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood loss; Computer-assisted navigation; Hemorrhage; TKA

Year:  2020        PMID: 32042229      PMCID: PMC7000559          DOI: 10.1016/j.jor.2020.01.014

Source DB:  PubMed          Journal:  J Orthop        ISSN: 0972-978X


  21 in total

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Authors:  S K Chauhan; R G Scott; W Breidahl; R J Beaver
Journal:  J Bone Joint Surg Br       Date:  2004-04

2.  Blood loss after total knee replacement: effects of computer-assisted surgery.

Authors:  Y Kalairajah; D Simpson; A J Cossey; G M Verrall; A J Spriggins
Journal:  J Bone Joint Surg Br       Date:  2005-11

Review 3.  Tourniquet injuries: pathogenesis and modalities for attenuation.

Authors:  Colin G Murphy; Desmond C Winter; David J Bouchier-Hayes
Journal:  Acta Orthop Belg       Date:  2005-12       Impact factor: 0.500

4.  Navigated total knee replacement. A meta-analysis.

Authors:  Kai Bauwens; Gerrit Matthes; Michael Wich; Florian Gebhard; Beate Hanson; Axel Ekkernkamp; Dirk Stengel
Journal:  J Bone Joint Surg Am       Date:  2007-02       Impact factor: 5.284

5.  Randomized trial of computer-assisted knee arthroplasty: impact on clinical and radiographic outcomes.

Authors:  Christina M Hiscox; Eric R Bohm; Thomas R Turgeon; David R Hedden; Colin D Burnell
Journal:  J Arthroplasty       Date:  2011-05-17       Impact factor: 4.757

6.  Modern abbreviated computer navigation of the femur reduces blood loss in total knee arthroplasty.

Authors:  David J Licini; R Michael Meneghini
Journal:  J Arthroplasty       Date:  2015-04-23       Impact factor: 4.757

7.  Computer navigation is effective in reducing blood loss but has no effect on transfusion requirement following primary total knee arthroplasty: a meta-analysis.

Authors:  Seung-Beom Han; Hyun-Jung Kim; Tae-Kyun Kim; Yong In; Kwang-Jun Oh; In-Jun Koh; Dae-Hee Lee
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-02-27       Impact factor: 4.342

8.  Estimating allowable blood loss: corrected for dilution.

Authors:  J B Gross
Journal:  Anesthesiology       Date:  1983-03       Impact factor: 7.892

Review 9.  The role of new oral anticoagulants in orthopaedics: an update of recent evidence.

Authors:  Dimitrios V Papadopoulos; Ioannis Kostas-Agnantis; Ioannis Gkiatas; Andreas G Tsantes; Panagiota Ziara; Anastasios V Korompilias
Journal:  Eur J Orthop Surg Traumatol       Date:  2017-03-17

10.  A Randomized Controlled Study to Compare the Total and Hidden Blood Loss in Computer-Assisted Surgery and Conventional Surgical Technique of Total Knee Replacement.

Authors:  Amit Singla; Rajesh Malhotra; Vijay Kumar; Chandra Lekha; G Karthikeyan; Vishwas Malik
Journal:  Clin Orthop Surg       Date:  2015-05-18
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  1 in total

1.  Gait Analysis after Total Knee Arthroplasty Assisted by 3D-Printed Personalized Guide.

Authors:  Maolin Sun; Ying Zhang; Yang Peng; Dejie Fu; Huaquan Fan; Rui He
Journal:  Biomed Res Int       Date:  2020-06-30       Impact factor: 3.411

  1 in total

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