Asset Details
Do you wish to reserve the book?
Patient-reported impairment following TKA is reduced when a computationally simulated predicted ideal alignment is achieved
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Patient-reported impairment following TKA is reduced when a computationally simulated predicted ideal alignment is achieved
Do you wish to request the book?
Patient-reported impairment following TKA is reduced when a computationally simulated predicted ideal alignment is achieved
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Patient-reported impairment following TKA is reduced when a computationally simulated predicted ideal alignment is achieved
2023
Overview
Purpose
Joint dynamics following Total Knee Arthroplasty (TKA) may influence patient-reported outcome. Simulations allow many knee alignment approaches to a single patient to be considered prior to surgery. The simulated kinematics can be matched to patient-reported outcome to predict kinematic patterns most likely to give the best outcome. This study aims to validate one such previously developed algorithm based on a simulated deep knee bend (the Dynamic Knee Score, DKS).
Methods
1074 TKA patients with pre- and post-operative Computerised Tomography (CT) scans and 12-month post-operative Knee Injury and Osteoarthritis Outcomes (KOOS) Scores were identified from the 360 Med Care Joint Registry. Landmarking and registration of implant position was performed on all CT scans, and each of the achieved TKAs was computationally simulated and received a predictive outcome score from the DKS. In addition, a set of potential alternative surgical plans which might have been followed were simulated. Comparison of patient-reported issues and DKS score was evaluated in a counter-factual study design.
Results
Patient-reported impairment with the knee catching and squatting was shown to be 30% lower (
p
= 0.005) and 22% lower (
p
= 0.026) in patients where the best possible DKS result was the one surgically achieved. Similar findings were found relating attainment of the best tibial slope and posterior femoral resection DKS plans to patient-reported difficulty straightening the knee (40% less likely,
p
< 0.001) and descending stairs (35% less likely,
p
= 0.006).
Conclusion
The DKS has been shown to correlate with presence of patient-reported impairments post-TKA and the resultant algorithm can be applied in a pre-operative planning setting. Outcome optimization in the future may come from patient-specific selection of an alignment strategy and simulations may be a technological enabler of this trend.
Level of evidence.
III (Retrospective Cohort Study).
Publisher
Springer Berlin Heidelberg,John Wiley & Sons, Inc
Subject
