Predictive Ligament Balancing in Robotic TKA – One Year Clinical Outcomes from a Multicenter Study

5 pages•Published: September 25, 2020

John Keggi, Jeffrey Lawrence, Amber Randall, Jeffrey DeClaire, Corey Ponder, Jan Koenig, Sami Shalhoub, Edgar Wakelin and Christopher Plaskos

Abstract

This study reports on the one-year clinical results and patient reported outcomes (PROMs) associated with a new ‘predictive balance’ tibia-cut first total knee arthroplasty (TKA) technique that uses a robotic ligament tensioner. PROMs are compared to registry data and historical results in the literature.
Five hundred and thirty-three patients were prospectively enrolled and underwent robotic TKA (mean age: 67.7±8.4; females: 320; BMI: 31.2±4.9). Pre-op, three, six and 12-month WOMAC, UCLA activity scale, and HSS-Patient satisfaction assessments were completed by 533, 352, 314, and 256 patients, respectively, and compared to WOMAC registry data from the Shared Ortech Aggregated Repository (SOAR) and to historical satisfaction reports in the literature.
Despite having equivalent baseline PROM scores, predictive balance patients had significantly higher WOMAC scores at all post-operative timepoints (p<0.001) and higher UCLA activity scale scores at 3M and 6M (p<0.013). Overall patient satisfaction in the predictive balance cohort was 91.2%, 92.4%, and 96.5% at 3M, 6M and 1YR, respectively. Average length of stay was 1.6 days (±0.8). Surgical complications in this cohort were typical of TKA.
Limitations to this study include the lack of a closely matched control group. Nonetheless, first year results are promising with improved objective measures compared to large registry databases and recently reported patient satisfaction measures.

Keyphrases: clinical outcomes, ligament balancing, robotic knee arthroplasty, total knee arthroplasty (tka)

In: Ferdinando Rodriguez Y Baena and Fabio Tatti (editors). CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 4, pages 160-164.

Links:	https://easychair.org/publications/paper/r49B
	https://doi.org/10.29007/mkj3

BibTeX entry

@inproceedings{CAOS2020:Predictive_Ligament_Balancing_Robotic,
  author    = {John Keggi and Jeffrey Lawrence and Amber Randall and Jeffrey DeClaire and Corey Ponder and Jan Koenig and Sami Shalhoub and Edgar Wakelin and Christopher Plaskos},
  title     = {Predictive Ligament Balancing in Robotic TKA – One Year Clinical Outcomes from a Multicenter Study},
  booktitle = {CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Ferdinando Rodriguez Y Baena and Fabio Tatti},
  series    = {EPiC Series in Health Sciences},
  volume    = {4},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/r49B},
  doi       = {10.29007/mkj3},
  pages     = {160-164},
  year      = {2020}}

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