Farhan-Alanie, M.M. orcid.org/0000-0002-9209-0108, Gallacher, D. orcid.org/0000-0003-0506-9384, Craig, P. orcid.org/0000-0002-1047-1987 et al. (7 more authors) (2025) The effects of computer navigation and patient-specific instrumentation on risk of revision, PROMs, and mortality following primary TKR. Journal of Bone and Joint Surgery, 107 (8). pp. 829-839. ISSN 0021-9355
Abstract
Background: Computer navigation and patient-specific instrumentation have been in use over the past 2 decades for total knee replacement (TKR). However, their effects on implant survival and patient-reported outcomes remain under debate. We aimed to investigate their influence on implant survival, outcomes of the Oxford Knee Score (OKS) and health-related quality of life (EQ-5D-3L), intraoperative complications, and postoperative mortality compared with conventional instrumentation, across a real-world population.
Methods: This observational study used National Joint Registry (NJR) data and included adult patients who underwent primary TKR for osteoarthritis between April 1, 2003, and December 31, 2020. The primary analysis evaluated revision for all causes, and secondary analyses evaluated differences in the OKS and EQ-5D-3L at 6 months postoperatively, and mortality within 1 year postoperatively. Weights based on propensity scores were generated, accounting for several covariates. A Cox proportional hazards model was used to assess revision and mortality outcomes. Generalized linear models were used to evaluate differences in the OKS and EQ-5D-3L. Effective sample sizes were computed and represent the statistical power comparable with an unweighted sample.
Results: Compared to conventional instrumentation, the hazard ratios (HRs) for all-cause revision following TKR performed using computer navigation and patient-specific instrumentation were 0.937 (95% confidence interval [CI], 0.860 to 1.021; p = 0.136; effective sample size [ESS] = 91,607) and 0.960 (95% CI, 0.735 to 1.252; p = 0.761; ESS = 13,297), respectively. No differences were observed in the OKS and EQ-5D-3L between conventional and computer-navigated TKR (OKS, −0.134 [95% CI, −0.331 to 0.063]; p = 0.183; ESS = 29,135; and EQ-5D-3L, 0.000 [95% CI, −0.005 to 0.005]; p = 0.929; ESS = 28,396) and between conventional TKR and TKR with patient-specific instrumentation (OKS, 0.363 [95% CI, −0.104 to 0.830]; p = 0.127; ESS = 4,412; and EQ-5D-3L, 0.004 [95% CI, −0.009 to 0.018]; p = 0.511; ESS = 4,285). Mortality within 1 year postoperatively was similar between conventional instrumentation and either computer navigation or patient-specific instrumentation (HR, 1.020 [95% CI, 0.989 to 1.052]; p = 0.212; ESS = 110,125).
Conclusions: On the basis of this large registry study, we conclude that computer navigation and patient-specific instrumentation have no statistically or clinically meaningful effect on the risk of revision, patient-reported outcomes, or mortality following primary TKR.
Level of Evidence: Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in The Journal of Bone and Joint Surgery is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Humans; Osteoarthritis, Knee; Postoperative Complications; Prosthesis Failure; Surgery, Computer-Assisted; Arthroplasty, Replacement, Knee; Reoperation; Registries; Quality of Life; Aged; Middle Aged; Female; Male; Patient Reported Outcome Measures |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 May 2025 14:17 |
Last Modified: | 06 May 2025 14:17 |
Status: | Published |
Publisher: | Ovid Technologies (Wolters Kluwer Health) |
Refereed: | Yes |
Identification Number: | 10.2106/jbjs.24.00589 |
Related URLs: | |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:226329 |