Revision of Partial Knee Arthroplasty

2018 ◽  
pp. 111-121
Author(s):  
Giles R. Scuderi ◽  
Lisa Renner ◽  
Clemens Gwinner ◽  
Philipp von Roth ◽  
Carsten Perka
Author(s):  
Frederick Buechel ◽  
Frederick Buechel ◽  
Michael Conditt

Author(s):  
William A. Jiranek ◽  
Daniel L. Riddle

2021 ◽  
Vol 2 (8) ◽  
pp. 638-645
Author(s):  
Amy J. Garner ◽  
Thomas C. Edwards ◽  
Alexander D. Liddle ◽  
Gareth G. Jones ◽  
Justin P. Cobb

Aims Joint registries classify all further arthroplasty procedures to a knee with an existing partial arthroplasty as revision surgery, regardless of the actual procedure performed. Relatively minor procedures, including bearing exchanges, are classified in the same way as major operations requiring augments and stems. A new classification system is proposed to acknowledge and describe the detail of these procedures, which has implications for risk, recovery, and health economics. Methods Classification categories were proposed by a surgical consensus group, then ranked by patients, according to perceived invasiveness and implications for recovery. In round one, 26 revision cases were classified by the consensus group. Results were tested for inter-rater reliability. In round two, four additional cases were added for clarity. Round three repeated the survey one month later, subject to inter- and intrarater reliability testing. In round four, five additional expert partial knee arthroplasty surgeons were asked to classify the 30 cases according to the proposed revision partial knee classification (RPKC) system. Results Four classes were proposed: PR1, where no bone-implant interfaces are affected; PR2, where surgery does not include conversion to total knee arthroplasty, for example, a second partial arthroplasty to a native compartment; PR3, when a standard primary total knee prosthesis is used; and PR4 when revision components are necessary. Round one resulted in 92% inter-rater agreement (Kendall’s W 0.97; p < 0.005), rising to 93% in round two (Kendall’s W 0.98; p < 0.001). Round three demonstrated 97% agreement (Kendall’s W 0.98; p < 0.001), with high intra-rater reliability (interclass correlation coefficient (ICC) 0.99; 95% confidence interval 0.98 to 0.99). Round four resulted in 80% agreement (Kendall’s W 0.92; p < 0.001). Conclusion The RPKC system accounts for all procedures which may be appropriate following partial knee arthroplasty. It has been shown to be reliable, repeatable and pragmatic. The implications for patient care and health economics are discussed. Cite this article: Bone Jt Open 2021;2(8):638–645.


2014 ◽  
Vol 2 (11_suppl3) ◽  
pp. 2325967114S0013
Author(s):  
Uğur Haklar ◽  
Ertuğrul Ulusoy ◽  
Tayfun Şimşek ◽  
Nuray Terzi

Objectives: Robotic surgery studies have been increasing in literature in the past years due to its operative advantages on reducing error and improving functional success in partial knee arthroplasty. Methods: Data were prospectively collected in 21 patients (31 knees) who underwent MAKOplasty, robotic assisted unicondylar medial knee arthroplasty, between June 2013 – January 2014 in our clinic with an average follow-up time of 5.5 months. Clinical outcomes were evaluated with American Knee Society Scoring System. Additionally, intra-operative digitally planned implant positions on the robot’s software were compared with post-operative radiographic component alignment. In the radiographic evaluation; anatomic axis of the tibia was observed in the coronal plane. Tibial posterior slope and flexion angle of the femoral component were observed in the sagittal plane. Results: Pre-operatively 1 patient was scored fair (60 points) and 20 patients were scored poor (mean, 46.6 points) on American Knee Society Scoring System. Post-operatively all 21 patients had excellent knee scores (mean, 99.67 points). Function-wise 7 patients were scored fair (mean, 60 points) and 14 patients were scored poor (mean, 30.7 points) again on American Knee Society Functional Scoring System. Post-operatively all 21 patients exhibited excellent function scores (mean, 99.04 points). In the radiological evaluation, intra-operative robotic analyses were compared with post-operative radiographic alignment. No significant difference was observed statistically (paired t-test, p < 0.05). This comparison is valuable as Lonner, Hernigou, Collier report that mal-alignment by as little as 2° may predispose to implant failures. Conclusion: Robotic assistance greatly improves clinical and functional outcomes and may help prevent implant failures due to surgical error and mal-alignment in partial knee arthroplasty.


2018 ◽  
pp. 49-61
Author(s):  
C. Batailler ◽  
Jacob Haynes ◽  
C. Bankhead ◽  
Kevin Fricka ◽  
E. Servien ◽  
...  

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