Abstract
Purpose
Despite widespread adoption of NAVIO robotic-assisted total knee arthroplasty (NAVIO RATKA) in clinical practice, clinical outcome in terms of adverse events and complications remains unclear. The purpose of this study was to compare adverse events, length of stay, surgical time, hemoglobin drop, early readmission rate and revision rate between conventional TKA (CTKA) and NAVIO RATKA.
Methods
This single-centre retrospective cohort analysis compared 230 NAVIO RATKA patients to 489 CTKA patients with a minimal follow-up of 12 months. Baseline demographic and comorbidity parameters were collected, as well as length of stay, revision rate and reason for revision, early readmission rate (< 6w) and reason for readmission, post-operative hemoglobin levels, adverse events, surgical time and operating room time. Data were compared using Mann–Whitney U test for continuous data without normal distribution and ordinal data, categorical variables were compared using the Chi-square or Fisher exact test.
Results
There were no clinically relevant baseline demographic or comorbidity differences between groups. CTKA had shorter length of stay than NAVIO RATKA (5.0 days vs 5.4 days, p = 0.010) but trended towards a higher reoperation rate (4.1% vs 1.7%, p = .144, n.s). No differences were found in hemoglobin drop, readmission rate or overall incidence of adverse events, but CTKA showed more hematoma formation (1.6% vs 0%, p = .044) and higher incidence of periprosthetic joint infection (PJI) (1% vs 0%, p = n.s.), whilst NAVIO RATKA showed more periprosthetic fractures and persistent wound drainage (0.4% vs 2.2%, p = .038 and 0.6% vs 4.3%, p = .001, respectively). Surgical time remained significantly longer in NAVIO RATKA during all 230 cases (87 min vs 67.6 min) and showed a continuous downward trend.
Conclusions
This study further validates the usage of NAVIO RATKA as a safe method to perform TKA, with comparable short term outcomes to CTKA in terms of early revisions and adverse events. Surgeons should be mindful of the differing adverse event profile in NAVIO RATKA and adjust their patient selection accordingly to ensure optimal outcomes. In addition, surgeons using NAVIO RATKA should expect a linear learning curve and a surgical time exceeding that of CTKA.
Level of evidence
Level III (therapeutic retrospective cohort study).
Similar content being viewed by others
Data availability statement
The data that support the findings of this study are available from the corresponding author JV, upon reasonable request.
Abbreviations
- AE:
-
Adverse events
- ACL:
-
Anterior cruciate ligament
- ASA:
-
American Society of Anesthesiologists
- BMI:
-
Body mass index
- CRPS:
-
Complex regional pain syndrome
- CTKA:
-
Conventional TKA
- DAIR:
-
Debridement, antibiotics, irrigation, retention
- ITB:
-
Iliotibial band
- LOS:
-
Length of stay
- MCL:
-
Medial collateral ligament
- MUA:
-
Manipulation under anesthesia
- N:
-
No
- OR:
-
Operating room
- ORIF:
-
Open reduction interal fixation
- OT:
-
OR time
- PAD:
-
Peripheral artery disease
- PJI:
-
Periprosthetic joint infection
- RATKA:
-
Robotic-assisted TKA
- ST:
-
Surgical time
- TKA:
-
Total knee arthroplasty
- Y:
-
Yes
References
Aglietti P, Baldini A, Vena LM, Abbate R, Fedi S, Falciani M (2000) Effect of tourniquet use on activation of coagulation in total knee replacement. Clin Orthop 371:169–177
Ayers DC, Yousef M, Zheng H, Yang W, Franklin PD (2022) The Prevalence and predictors of patient dissatisfaction 5-years following primary total knee arthroplasty. J Arthroplasty 37(6):S121–S128
Bell C, Grau L, Orozco F, Ponzio D, Post Z, Czymek M, Ong A (2022) The successful implementation of the Navio robotic technology required 29 cases. J Robot Surg 16(3):495–499
Bohl DD, Ondeck NT, Darrith B, Hannon CP, Fillingham YA, Della Valle CJ (2018) Impact of operative time on adverse events following primary total joint arthroplasty. J Arthroplasty 33(7):2256-2262.e4
Bollars P, Boeckxstaens A, Mievis J, Kalaai S, Schotanus MGM, Janssen D (2020) Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group. Eur J Orthop Surg Traumatol 30(4):723–729
Bourne RB, Chesworth BM, Davis AM, Mahomed NN, Charron KDJ (2010) Patient satisfaction after total knee arthroplasty: who is satisfied and who is not? Clin Orthop 468(1):57–63
Cho MR, Jun CM, Song SK, Choi WK (2021) Natural course of hemoglobin level after total knee arthroplasty and the benefit of tranexamic acid injection in the joint. Medicine (Baltimore) 100(35):e27097
Elliott J, Shatrov J, Fritsch B, Parker D (2021) Robotic-assisted knee arthroplasty: an evolution in progress. A concise review of the available systems and the data supporting them. Arch Orthop Trauma Surg 141(12):2099–2117
Gunaratne R, Pratt DN, Banda J, Fick DP, Khan RJK, Robertson BW (2017) Patient dissatisfaction following total knee arthroplasty: a systematic review of the literature. J Arthroplasty 32(12):3854–3860
Held MB, Gazgalis A, Neuwirth AL, Shah RP, Cooper HJ, Geller JA (2022) Imageless robotic-assisted total knee arthroplasty leads to similar 24-month WOMAC scores as compared to conventional total knee arthroplasty: a retrospective cohort study. Knee Surg Sports Traumatol Arthrosc 30(8):2631–2638
Held MB, Grosso MJ, Gazgalis A, Sarpong NO, Boddapati V, Neuwirth A, Geller JA (2021) Improved compartment balancing using robot-assisted total knee arthroplasty. Arthroplasty Today 7:130–134
Ihekweazu UN, Sohn GH, Laughlin MS, Goytia RN, Mathews V, Stocks GW, Patel AR, Brinker MR (2018) Socio-demographic factors impact time to discharge following total knee arthroplasty. World J Orthop 9(12):285–291
Inacio MCS, Graves SE, Pratt NL, Roughead EE, Nemes S (2017) Increase in total joint arthroplasty projected from 2014 to 2046 in Australia: a conservative local model with international implications. Clin Orthop 475(8):2130–2137
Jämsen E, Huhtala H, Puolakka T, Moilanen T (2009) Risk Factors for infection after knee arthroplasty: a register-based analysis of 43,149 cases. J Bone Jt Surg-Am 91(1):38–47
Joo PY, Chen AF, Richards J, Law TY, Taylor K, Marchand K, Clark G, Collopy D, Marchand RC, Roche M, Mont MA, Malkani AL (2022) Clinical results and patient-reported outcomes following robotic-assisted primary total knee arthroplasty: a multicentre study. Bone Jt Open 3(7):589–595
Khanasuk Y, Ngarmukos S, Tanavalee A (2022) Does the intramedullary femoral canal plug reduce blood loss during total knee arthroplasty? Knee Surg Relat Res 34(1):31
Kort N, Stirling P, Pilot P, Müller JH (2022) Robot-assisted knee arthroplasty improves component positioning and alignment, but results are inconclusive on whether it improves clinical scores or reduces complications and revisions: a systematic overview of meta-analyses. Knee Surg Sports Traumatol Arthrosc 30(8):2639–2653
Laddha M, Gaurav S (2021) Assessment of limb alignment and component placement after all burr robotic-assisted TKA. Indian J Orthop 55(S1):69–75
Marchand KB, Ehiorobo J, Mathew KK, Marchand RC, Mont MA (2022) Learning curve of robotic-assisted total knee arthroplasty for a high-volume surgeon. J Knee Surg 35(4):409–415
Mcconnell J, Dillon J, Kinninmonth A, Sarungi M, Picard F (2012) Blood loss following total knee replacement is reduced when using computer-assisted versus standard methods. J Knee Surg 78:5
Mitchell J, Wang J, Bukowski B, Greiner J, Wolford B, Oyer M, Illgen RL (2021) Relative clinical outcomes comparing manual and robotic-assisted total knee arthroplasty at minimum 1-year follow-up. HSS J Musculoskelet J Hosp Spec Surg 17(3):267–273
Morcos MW, Nowak L, Schemitsch E (2021) Prolonged surgical time increases the odds of complications following total knee arthroplasty. Can J Surg 64(3):E273–E279
Nogalo C, Meena A, Abermann E, Fink C (2023) Complications and downsides of the robotic total knee arthroplasty: a systematic review. Knee Surg Sports Traumatol Arthrosc 31(3):736–750
Parvizi J, Ghanem E, Joshi A, Sharkey PF, Hozack WJ, Rothman RH (2007) Does “excessive” anticoagulation predispose to periprosthetic infection? J Arthroplasty 22(6):24–28
Patel VP, Walsh M, Sehgal B, Preston C, DeWal H (2007) Cesare PED factors associated with prolonged wound drainage after primary total hip and knee arthroplasty. J Bone Jointsurg 89:33–38
Peersman G, Laskin R, Davis J, Peterson MGE, Richart T (2006) Prolonged operative time correlates with increased infection rate after total knee arthroplasty. HSS J 2(1):70–72
Popat R, Albelooshi A, Mahapatra P, Bollars P, Ettinger M, Jennings S, Van den Berg J-L, Nathwani D (2022) Improved joint line and posterior offset restoration in primary total knee replacement using a robotic-assisted surgical technique: an international multi-centre retrospective analysis of matched cohorts. PLoS ONE 17(8):e0272722
Prasad N, Padmanabhan V, Mullaji A (2007) Blood loss in total knee arthroplasty: an analysis of risk factors. Int Orthop 31(1):39–44
Ravi B, Jenkinson R, O’Heireamhoin S, Austin PC, Aktar S, Leroux TS, Paterson M, Redelmeier DA (2019) Surgical duration is associated with an increased risk of periprosthetic infection following total knee arthroplasty: A population-based retrospective cohort study. EClinicalMedicine 16:74–80
Rodriguez-Marchan EC (2020) Patient satisfaction following primary total knee arthroplasty: Contributing factors. Arch Bone Jt Surg. https://doi.org/10.22038/abjs.2020.46395.2274
Savov P, Tuecking L-R, Windhagen H, Ehmig J, Ettinger M (2021) Imageless robotic handpiece-assisted total knee arthroplasty: a learning curve analysis of surgical time and alignment accuracy. Arch Orthop Trauma Surg 141(12):2119–2128
Schairer WW, Vail TP, Bozic KJ (2014) What are the rates and causes of hospital readmission after total knee arthroplasty? Clin Orthop 472(1):181–187
Schopper C, Proier P, Luger M, Gotterbarm T, Klasan A (2023) The learning curve in robotic assisted knee arthroplasty is flattened by the presence of a surgeon experienced with robotic assisted surgery. Knee Surg Sports Traumatol Arthrosc 31(3):760–767
Sicat CS, Chow JC, Kaper B, Mitra R, Xie J, Schwarzkopf R (2021) Component placement accuracy in two generations of handheld robotics-assisted knee arthroplasty. Arch Orthop Trauma Surg 141(12):2059–2067
Siddiqi A, Horan T, Molloy RM, Bloomfield MR, Patel PD, Piuzzi NS (2021) A clinical review of robotic navigation in total knee arthroplasty: historical systems to modern design. EFORT Open Rev 6(4):252–269
Sloan M, Premkumar A, Sheth NP (2018) Projected Volume of Primary Total Joint Arthroplasty in the US, 2014 to 2030. J Bone Jt Surg 100(17):1455–1460
Smith TJ, Siddiqi A, Forte SA, Judice A, Sculco PK, Vigdorchik JM, Schwarzkopf R, Springer BD (2021) Periprosthetic fractures through tracking pin sites following computer navigated and robotic total and unicompartmental knee arthroplasty: a systematic review. JBJS Rev 9(1):e20
Vaidya N, Gadekar A, Agrawal VO, Jaysingani TN (2022) Learning curve for robotic assisted total knee arthroplasty: our experience with imageless hand-held Navio system. J Robot SurgDOI. https://doi.org/10.1007/s11701-022-01423-8
Vaidya N, Jaysingani TN, Panjwani T, Patil R, Deshpande A, Kesarkar A (2022) Assessment of accuracy of an imageless hand-held robotic-assisted system in component positioning in total knee replacement: a prospective study. J Robot Surg 16(2):361–367
Vaidya NV, Deshpande AN, Panjwani T, Patil R, Jaysingani T, Patil P (2022) Robotic-assisted TKA leads to a better prosthesis alignment and a better joint line restoration as compared to conventional TKA: a prospective randomized controlled trial. Knee Surg Sports Traumatol Arthrosc 30(2):621–626
Vermue H, Batailler C, Monk P, Haddad F, Luyckx T, Lustig S (2022) The evolution of robotic systems for total knee arthroplasty, each system must be assessed for its own value: a systematic review of clinical evidence and meta-analysis. Arch Orthop Trauma Surg. https://doi.org/10.1007/s00402-022-04632-w
Zhang J, Ndou WS, Ng N, Gaston P, Simpson PM, Macpherson GJ, Patton JT, Clement ND (2022) Robotic-arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta-analysis. Knee Surg Sports Traumatol Arthrosc 30(8):2677–2695
Acknowledgements
Not applicable.
Funding
Not applicable.
Author information
Authors and Affiliations
Contributions
JM, PB, JV and JD designed the study. JV and JD performed the retrospective data collection. JV drafted the manuscript and designed the figures in consultation primarily with HV, with contributions by JM and DJ. All authors discussed the results and commented on the manuscript for final revision and have given approval for the work to be published.
Corresponding author
Ethics declarations
Conflict of interest
Hilde Vandenneucker: Institutional support: Aqtor chair of no influence on publication–Institutional support up to 2021: S&N chair/no Institutional support anymore at timing paper preparation and submission. S&N scientific grant, not used for this manuscript. Peter Bollars: aid consultant S&N (robotics and knee arthroplasty). The other authors declare that they have no competing interests.
Ethical approval
Ethical approval was obtained by the Independent Local Medical Ethical Review Board (Nr. STZH/2021/337).
Informed consent
Informed consent was not sought for this retrospective study as per guidelines of the Independent Local Medical Ethical Review board.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Vandenberk, J., Mievis, J., Deferm, J. et al. NAVIO RATKA shows similar rates of hemoglobin-drop, adverse events, readmission and early revision vs conventional TKA: a single centre retrospective cohort study. Knee Surg Sports Traumatol Arthrosc 31, 4798–4808 (2023). https://doi.org/10.1007/s00167-023-07524-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00167-023-07524-7