Literature DB >> 31079993

Are Patients More Satisfied With a Balanced Total Knee Arthroplasty?

Gregory J Golladay1, Thomas L Bradbury2, Alexander C Gordon3, Ivan J Fernandez-Madrid4, Viktor E Krebs5, Preetesh D Patel6, Juan C Suarez7, Carlos A Higuera Rueda6, Wael K Barsoum6.   

Abstract

BACKGROUND: Patient-reported outcome measures are increasingly recognized as an important tool in quantifying the clinical success of arthroplasty surgery. The aim of this study is to measure post-operative joint awareness and satisfaction in patients with and without a quantitatively balanced knee following primary total knee arthroplasty (TKA).
METHODS: In this multi-center study, a total of 318 eligible patients were assigned to one of the 2 patient groups: sensor-guided TKA or surgeon-guided TKA. In the sensor-guided group, quantitative balancing was performed according to intercompartmental tibiofemoral load measurements measured by an instrumented tibial trial component. In contrast, for the surgeon-guided group, the knees were balanced according to the surgeons' standard manual techniques while blinding the surgeon to the sensor measurements. Patients were blinded to their allocation and filled out the validated Forgotten Joint Score and 2011 Knee Society Satisfaction questionnaires at 6 weeks and 6 months. For the purposes of this study, the subjects were pooled and stratified by their state of soft tissue balance, based on the mediolateral load differential through the range of motion.
RESULTS: In the surgeon-guided group, approximately 50% of the cases yielded a quantitatively balanced knee. Significantly more balanced knees were observed in the sensor-guided group (84.0%). More importantly, for both outcome measures, the balanced group of patients reported significantly better outcomes scores.
CONCLUSION: This demonstrates that using sensor feedback during knee arthroplasty surgery results in a more reproducible procedure, resulting in a higher percentage of balanced patients who in turn demonstrate superior clinical outcomes compared to unbalanced patients.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  forgotten joint; intraoperative sensors; satisfaction; soft tissue balance; total knee arthroplasty

Mesh:

Year:  2019        PMID: 31079993     DOI: 10.1016/j.arth.2019.03.036

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  17 in total

1.  No Benefit to Sensor-guided Balancing Compared With Freehand Balancing in TKA: A Randomized Controlled Trial.

Authors:  Nana O Sarpong; Michael B Held; Matthew J Grosso; Carl L Herndon; Walkania Santos; Akshay Lakra; Roshan P Shah; H John Cooper; Jeffrey A Geller
Journal:  Clin Orthop Relat Res       Date:  2022-04-07       Impact factor: 4.755

2.  The application of machine learning to balance a total knee arthroplasty.

Authors:  Matthias A Verstraete; Ryan E Moore; Martin Roche; Michael A Conditt
Journal:  Bone Jt Open       Date:  2020-06-11

Review 3.  Component placement accuracy in two generations of handheld robotics-assisted knee arthroplasty.

Authors:  Chelsea S Sicat; James C Chow; Bertrand Kaper; Riddhit Mitra; Jing Xie; Ran Schwarzkopf
Journal:  Arch Orthop Trauma Surg       Date:  2021-07-25       Impact factor: 3.067

4.  Surgeon-defined assessment is a poor predictor of knee balance in total knee arthroplasty: a prospective, multicenter study.

Authors:  Samuel J MacDessi; Jil A Wood; Ashish D Diwan; Ian A Harris
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2020-03-13       Impact factor: 4.342

5.  Impact of intra-operative predictive ligament balance on post-operative balance and patient outcome in TKA: a prospective multicenter study.

Authors:  John M Keggi; Edgar A Wakelin; Jan A Koenig; Jeffrey M Lawrence; Amber L Randall; Corey E Ponder; Jeffrey H DeClaire; Sami Shalhoub; Stephen Lyman; Christopher Plaskos
Journal:  Arch Orthop Trauma Surg       Date:  2021-07-13       Impact factor: 3.067

6.  Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group.

Authors:  P Bollars; A Boeckxstaens; J Mievis; S Kalaai; M G M Schotanus; D Janssen
Journal:  Eur J Orthop Surg Traumatol       Date:  2020-01-16

7.  Achieving a Balanced Knee in Robotic TKA.

Authors:  Alexander C Gordon; Michael A Conditt; Matthias A Verstraete
Journal:  Sensors (Basel)       Date:  2021-01-13       Impact factor: 3.576

8.  How to Quantitatively Balance a Total Knee? A Surgical Algorithm to Assure Balance and Control Alignment.

Authors:  Ryan E Moore; Michael A Conditt; Martin W Roche; Matthias A Verstraete
Journal:  Sensors (Basel)       Date:  2021-01-20       Impact factor: 3.576

Review 9.  Sensor-Assisted Total Knee Arthroplasty: A Narrative Review.

Authors:  Cheol Hee Park; Sang Jun Song
Journal:  Clin Orthop Surg       Date:  2021-02-15

10.  Use of Fulcrum Positioning as a Balancing Tool During Total Knee Arthroplasty on a Robotic Platform.

Authors:  William F Sherman; Christina Freiberger
Journal:  Arthroplast Today       Date:  2021-04-05
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