Aims. The purpose of this study was to develop a personalized outcome prediction tool, to be used with knee arthroplasty patients, that predicts outcomes (lengths of stay (LOS), 90 day readmission, and one-year patient-reported outcome measures (PROMs) on an individual basis and allows for dynamic modifiable risk factors. Methods. Data were prospectively collected on all patients who underwent total or unicompartmental knee arthroplasty at a between July 2015 and June 2018. Cohort 1 (n = 5,958) was utilized to develop models for LOS and 90 day readmission. Cohort 2 (n = 2,391, surgery date 2015 to 2017) was utilized to develop models for one-year improvements in Knee Injury and Osteoarthritis Outcome Score (KOOS) pain score, KOOS function score, and KOOS quality of life (QOL) score. Model accuracies within the imputed data set were assessed through cross-validation with
The primary aim of this study was to compare the postoperative systemic inflammatory response in conventional jig-based total knee arthroplasty (conventional TKA) versus robotic-arm assisted total knee arthroplasty (robotic TKA). Secondary aims were to compare the macroscopic soft tissue injury, femoral and tibial bone trauma, localized thermal response, and the accuracy of component positioning between the two treatment groups. This prospective randomized controlled trial included 30 patients with osteoarthritis of the knee undergoing conventional TKA versus robotic TKA. Predefined serum markers of inflammation and localized knee temperature were collected preoperatively and postoperatively at six hours, day 1, day 2, day 7, and day 28 following TKA. Blinded observers used the Macroscopic Soft Tissue Injury (MASTI) classification system to grade intraoperative periarticular soft tissue injury and bone trauma. Plain radiographs were used to assess the accuracy of achieving the planned postioning of the components in both groups.Aims
Methods
The objective of this study is to assess the use of ultrasound (US) as a radiation-free imaging modality to reconstruct 3D anatomy of the knee for use in preoperative templating in knee arthroplasty. Using an US system, which is fitted with an electromagnetic (EM) tracker that is integrated into the US probe, allows 3D tracking of the probe, femur, and tibia. The raw US radiofrequency (RF) signals are acquired and, using real-time signal processing, bone boundaries are extracted. Bone boundaries and the tracking information are fused in a 3D point cloud for the femur and tibia. Using a statistical shaping model, the patient-specific surface is reconstructed by optimizing bone geometry to match the point clouds. An accuracy analysis was conducted for 17 cadavers by comparing the 3D US models with those created using CT. US scans from 15 users were compared in order to examine the effect of operator variability on the output.Aims
Methods
Robotic-assisted unicompartmental knee arthroplasty (UKA) promises accurate implant placement with the potential of improved survival and functional outcomes. The aim of this study was to present the current evidence for robotic-assisted UKA and describe the outcome in terms of implant positioning, range of movement (ROM), function and survival, and the types of robot and implants that are currently used. A search of PubMed and Medline was performed in October 2018 in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis statement. Search terms included “robotic”, “knee”, and “surgery”. The criteria for inclusion was any study describing the use of robotic UKA and reporting implant positioning, ROM, function, and survival for clinical, cadaveric, or dry bone studies.Aims
Materials and Methods
In Asia and the Middle-East, people often flex their knees deeply
in order to perform activities of daily living. The purpose of this
study was to investigate the 3D kinematics of normal knees during
high-flexion activities. Our hypothesis was that the femorotibial
rotation, varus-valgus angle, translations, and kinematic pathway
of normal knees during high-flexion activities, varied according
to activity. We investigated the Aims
Materials and Methods
The primary aim of this study was to determine the surgical team’s
learning curve for introducing robotic-arm assisted unicompartmental
knee arthroplasty (UKA) into routine surgical practice. The secondary
objective was to compare accuracy of implant positioning in conventional
jig-based UKA versus robotic-arm assisted UKA. This prospective single-surgeon cohort study included 60 consecutive
conventional jig-based UKAs compared with 60 consecutive robotic-arm
assisted UKAs for medial compartment knee osteoarthritis. Patients
undergoing conventional UKA and robotic-arm assisted UKA were well-matched
for baseline characteristics including a mean age of 65.5 years
(Aims
Patients and Methods
Pre-operative variables are increasingly being
used to determine eligibility for total knee replacement (TKR).
This study was undertaken to evaluate the relationships, interactions
and predictive capacity of variables available pre- and post-operatively
on patient satisfaction following TKR. Using nationally collected
patient reported outcome measures and data from the National Joint
Registry for England and Wales, we identified
22 798 patients who underwent TKR for osteoarthritis between August
2008 and September 2010. The ability of specific covariates to predict
satisfaction was assessed using ordinal logistic regression and
structural equational modelling. Only 4959 (22%) of 22 278 patients
rated the results of their TKR as ‘excellent’, despite the majority
(71%, n = 15 882) perceiving their knee symptoms to be much improved.
The strongest predictors of satisfaction were post-operative variables.
Satisfaction was significantly and positively related to the perception
of symptom improvement (operative success) and the post-operative
EuroQol-5D score. While also significant within the models pre-operative
variables were less important and had a minimal influence upon post-operative
satisfaction. The most robust predictions of satisfaction occurred
only when both pre- and post-operative variables were considered
together. These findings question the appropriateness of restricting
access to care based on arbitrary pre-operative thresholds as these
factors have little bearing on post-operative satisfaction. Cite this article:
The primary aim of this study was to develop
a patient-reported Activity &
Participation Questionnaire (the
OKS-APQ) to supplement the Oxford knee score, in order to assess
higher levels of activity and participation. The generation of items
for the questionnaire involved interviews with 26 patients. Psychometric
analysis (exploratory and confirmatory factor analysis and Rasch
analysis) guided the reduction of items and the generation of a
scale within a prospective study of 122 relatively young patients
(mean age 61.5 years (42 to 71)) prior to knee replacement. A total
of 99, completed pre-operative and six month post-operative assessments
(new items, OKS, Short-Form 36 and American Knee Society Score). The eight-item OKS-APQ scale is unidimensional, reliable (Cronbach’s
alpha 0.85; intraclass correlation coefficient (ICC) 0.79; or 0.92
when one outlier was excluded), valid (r >
0.5 with related scales)
and responsive (effect size 4.16). We recommend that it is used with the OKS with adults of all
ages when further detail regarding the levels of activity and participation
of a patient is required. Cite this article: