Aims. To map the Oxford Knee Score (OKS) and High Activity Arthroplasty Score (HAAS) items to a common scale, and to investigate the psychometric properties of this new scale for the measurement of knee health. Methods. Patient-reported outcome measure (PROM) data measuring knee health were obtained from the NHS PROMs dataset and Total or Partial Knee Arthroplasty Trial (TOPKAT). Assumptions for common scale modelling were tested. A graded response model (fitted to OKS item responses in the NHS PROMs dataset) was used as an anchor to calibrate paired HAAS items from the TOPKAT dataset. Information curves for the combined OKS-HAAS model were plotted. Bland-Altman analysis was used to compare common scale scores derived from OKS and HAAS items. A conversion table was developed to map between HAAS, OKS, and the common scale. Results. We included 3,329 response sets from 528 patients undergoing knee arthroplasty. These generally met the assumptions of unidimensionality, monotonicity, local independence, and measurement invariance. The HAAS items provided more information than OKS items at high levels of knee health. Combining both instruments resulted in higher test-level information than either instrument alone. The mean error between common scale scores derived from the OKS and HAAS was 0.29 logits. Conclusion. The common scale allowed more precise measurement of knee health than use of either the OKS or HAAS individually. These techniques for mapping PROM instruments may be useful for the standardization of outcome reporting, and pooling results across studies that use either PROM in individual-patient meta-analysis. Cite this article: Bone Joint Res 2023;12(10):624–635

Abstract. The Montgomery ruling advocates patients be informed of ‘material risks’ of a procedure. With no guidelines for patients wishing to return to high activity levels after knee arthroplasty, we explore patient and surgeon perceptions in climbers. Ethical approval was granted by the University of Central Lancashire. Anonymous questionnaires were sent via email and social media to consultant knee arthroplasty surgeons and to climbers/mountaineers across the UK. Consultants were asked about advice given for patients who participate in climbing. Climbers were asked about their experiences of knee arthroplasty and return to activity. Of 33 knee arthroplasty surgeons, 11(33%) were firmly against any return to climbing, 10(30%) counselled against it, and 12(36%) were open to return to previous activity. Of 11(33%) surgeons who do not gather information about levels of climbing, 8 would not provide specific advice regarding risks of returning to sport. Of 28 climbers, only 5(18%) were informed to cease completely, with 11(39%) cautioned against and 12(43%) permitted to return. There was no correlation between the advice received and climbing ability post-operatively, (kappa=0.143,p=0.058), with a substantial agreement between ability 1-year post-operatively and currently, (kappa=0.689,p<0.001). There is a discrepancy between the advice given and received by climbers/mountaineers prior to knee arthroplasty, with ability post-operatively having no relationship to advice given. Climbing is possible at high level with no reported complications following knee arthroplasty. The 1-year time point is predictive of longer-term outcome. This information should help surgeons better inform their patients preoperatively

Abstract. Introduction. Perception of ACL injury prevention programs amongst professional netball players and coaches has not been studied. We investigated (1) level of awareness and experience of ACL injury prevention programs; (2) use of ACL injury prevention programs; and (3) barriers to implementing ACL injury prevention program in netball. Methodology. Female netball players representing Welsh senior and under-21 teams and elite and amateur coaches were invited electronically to this web-based study between 1st May–31st July 2021. Information on ACL injury susceptibility and seriousness, knowledge, experience, and implementation of ACL injury prevention programs were ascertained. Results. Twenty-eight players (77.8%) and 29 coaches (13.2%) completed the questionnaire. Seventeen (60.7%) players and 15 (51.7%) coaches reported female athletes were at greater risk for sustaining ACL injuries. Over 90% of respondents identified netball as high-risk, whilst 89% of players and 76% of coaches reported these injuries to be preventable. Two (7.1%) players and 6 (20.7%) coaches utilised ACL injury prevention programs with lack of time and engagement from coaches and players identified. Majority of respondents indicated that their club has neither promoted, advocated nor demonstrated exercises for ACL injury prevention. Over 90% of respondents would utilise such programs if it minimised players risk with appropriate training and information. Conclusion. Study highlights limited knowledge of female athletes’ increased susceptibility of ACL injuries with lack of communication and education of ACL injury prevention programs between sporting associations, coaches and players. Results demonstrate willingness of players and coaches to implement ACL injury prevention programs in Welsh netball

Aims. There is limited information on outcomes of revision ACL reconstruction (rACLR) in soccer (association football) athletes, particularly on return to sport and the rate of additional knee surgery. The purpose of this study was to report return to soccer after rACLR, and to test the hypothesis that patient sex and graft choice are associated with return to play and the likelihood of future knee surgery in soccer players undergoing rACLR. Methods. Soccer athletes enrolled in a prospective multicentre cohort were contacted to collect ancillary data on their participation in soccer and their return to play following rACLR. Information regarding if and when they returned to play and their current playing status was recorded. If they were not currently playing soccer, they were asked the primary reason they stopped playing. Information on any subsequent knee surgery following their index rACLR was also collected. Player demographic data and graft choice were collected from their baseline enrolment data at rACLR. Results. Soccer-specific follow-up was collected on 76% (33 male, 39 female) of 95 soccer athletes. Subsequent surgery information was collected on 95% (44 male, 46 female). Overall, 63% of athletes returned to soccer a mean 9.6 months (SD 5.8) after index revision surgery but participation in soccer decreased to 19% at a mean of 6.4 years (SD 1.3) after surgery. There was no significant association of patient sex or graft choice with return to play, time of return to play, or long-term return to play. Females were more likely than males to have subsequent knee surgery following rACLR (20% (9/46) vs 5% (2/44); p = 0.050). The rate of recurrent graft tear (5.6%; 5/90) was similar between males and females. Conclusion. Approximately two-thirds of soccer players return to sport after rACLR, but the rate of participation drops significantly over time. Neither patient sex nor graft choice at the time of rACLR were associated with return to play. Female soccer players face a higher risk for additional knee surgery after rACLR than male soccer players. Cite this article: Bone Jt Open 2021;2(12):1043–1048

Aims. Surgeon and patient reluctance to participate are potential significant barriers to conducting placebo-controlled trials of orthopaedic surgery. Understanding the preferences of orthopaedic surgeons and patients regarding the design of randomized placebo-controlled trials (RCT-Ps) of knee procedures can help to identify what RCT-P features will lead to the greatest participation. This information could inform future trial designs and feasibility assessments. Methods. This study used two discrete choice experiments (DCEs) to determine which features of RCT-Ps of knee procedures influence surgeon and patient participation. A mixed-methods approach informed the DCE development. The DCEs were analyzed with a baseline category multinomial logit model. Results. The proportion of respondents (surgeons n = 103; patients n = 140) who would not participate in any of the DCE choice sets (surgeons = 31%; patients = 40%), and the proportion who would participate in all (surgeons = 18%; patients = 30%), indicated strong views regarding the conduct of RCT-Ps. There were three main findings: for both surgeons and patients, studies which involved an arthroscopic procedure were more likely to result in participation than those with a total knee arthroplasty; as the age (for patients) and years of experience (for surgeons) increased, the overall likelihood of participation decreased; and, for surgeons, offering authorship and input into the RCT-P design was preferred for less experienced surgeons, while only completing the procedure was preferred by more experienced surgeons. Conclusion. Patients and surgeons have strong views regarding participation in RCT-Ps. However, understanding their preferences can inform future trial designs and feasibility assessments with regard to recruitment rates. Cite this article: Bone Joint J 2024;106-B(12):1408–1415

Abstract. Introduction. The NHS long term plan endorses ‘personalised’, ‘digitally enabled’, ‘out of hospital’ care. Multiagency guidance (CPOC(2021)/NICE(2021)/GIRFT(2021)/NHSX(2021)) advocates an integrated ‘pathway’ approach to information sharing, shared-decision making and patient support. Digital solutions are the vehicle to deliver these agendas. Methods. In 2018 we developed a digital joint pathway (DJP) spanning the surgical care pathway (prehabilitation to rehabilitation) using the GoWellHealth platform. Patients listed for joint replacement are offered the DJP as routine care. Activity and engagement are monitored using the DJP data library. We sought to evidence our DJP by assessing patient engagement, experience and outcomes (OKS/EQ5D/Readmission). Results. Engagement. Consecutive cohort of the first 1195 patients registered. Activation rates were >85% and >70% viewed content within the DJP (median=15 access/pt; mean=83 minutes on DJP/pt). Engagement was similar irrespective of age and gender (p=NS). Older patients preferred to access via a computer. Experience. Qualitative interviews (n=14) demonstrated patients felt the DJP impacted positively on their health behaviours and contributed to their recovery. They spoke positively about the use of technology and the accessibility of the DJP. Outcomes. Comparison of patients on the DJP versus those not on the DJP using adjusted regression models demonstrated improved EQ5D=0.070 (95%CI=0.004-0.135,p=0.04), OKS=5.0 (95%CI=2.2-7.8,p<0.001) and readmission rates (3.6% versus 5.6%,p<0.01) for DJP patients. Conclusions. A DJP model for information delivery and patient support, across the entirety of the surgical pathway, is feasible and demonstrates high levels of patient engagement, experience and improved patient outcomes

Abstract. Multidisciplinary team (MDT) meetings in orthopaedic surgery are evolving. The goals include patient optimisation, surgical planning and discharge arrangements, individually on a patient specific basis. In line with British Association Surgery of the Knee and GIRFT guidelines, we report our regional experience on the implementation and evolution of our regional Revision Knee Arthroplasty MDT. We undertook a retrospective review of the process, cases discussed and quality assurance conducted in the weekly MDT. Since implementation of the MDT meeting in January 2019, 550 patients with painful joint replacements have been discussed. In May 2021, we formalised our ‘terms of reference’ and ‘standard operating procedures’ which are adhered to by the consultants operating within the network, all of whom attend the meeting. A proforma has been developed and is completed for all cases capturing all pertinent information. All cases are graded according to R1, R2, or R3 complexity scale. Since its inception, the MDT has looked at all post-operative imaging, we now describe a new classification system for grading the appearances. Confirmation of the pre-operative plan and actual surgical intervention is reviewed and audited. In addition, confirmation of indication of revision at the time of operation is reviewed and validated for accuracy with benefits to the unit, individual surgeon and the NJR. In conclusion, the implementation of the revision MDT facilitating pre-operative revision arthroplasty discussion and post-operative quality assurance processes enable surgeons to educate, reflect on their practice and ensure that the highest standards of care are being provided

Abstract. Introduction. Minimum clinically important differences (MCIDs) are critical to understanding changes in patient-reported outcome measure (PROM) scores after total joint arthroplasty (TJA). The usage and adoption of MCIDs not been well-studied. This study was performed to IDENTIFY trends in PROM and MCID use after TJA over the past decade. Methods. All articles published in the calendar years of 2010 and 2020 in CORR, JBJS, and the Journal of Arthroplasty were reviewed. Articles relating to clinical outcomes in primary total hip arthroplasty (THA) or total knee arthroplasty (TKA) were included. For each article, all reported PROMs and (if present) accompanying MCIDs were recorded. The use of PROMs and MCIDs were compared between articles published in 2010 and 2020. Results. Overall, 263 articles from 2010 and 546 articles from 2020 were included. The total number of articles reporting any PROM after THA and TKA increased from 131 in 2010 to 194 in 2020, but the proportion of articles reporting PROMs decreased from 49.8% (131/263) to 35.5% (194/546). Both the total number and proportion of articles reporting MCIDs increased from 2.3% (3/131) in 2010 to 16.5% (32/194) in 2020. These trends persisted when analyzing THA and TKA articles individually. Conclusions. Both the absolute number and proportion of articles reporting MCIDs in conjunction with PROMs after TJA has increased in the past decade but remains low. We recommend that journal editors and meeting organizers encourage the inclusion of MCID information in all reports on clinical outcomes after joint replacement

Abstract. Introduction. Challenges in surgical training have led to the exploration of technologies such as augmented reality (AR), which present novel approaches to teaching orthopaedic procedures to medical students. The aim of this double-blinded randomised-controlled trial was to compare the validity and training effect of AR to traditional teaching on medical students’ understanding of total knee arthroplasty (TKA). Methodology. Twenty medical students from 7 UK universities were randomised equally to either intervention or control groups. The control received a consultant-led teaching session and the intervention received training via Microsoft HoloLens, where surgeons were able to project virtual information over physical objects. Participants completed written knowledge and practical exams which were assessed by 2 orthopaedic consultants. Training superiority was established via 4 quantitative outcome measures: OSATS scores, a checklist of TKA-specific steps, procedural time, and written exam scores. Qualitative feedback was evaluated using a 5-point Likert scale. Results. AR training was superior in teaching basic technical proficiency and understanding of TKA, with the intervention group significantly outperforming the control group in 3 metrics [OSATS (38.6%, p=0.021), checklist (33%, p=0.011) and written exam (54.5%, p=0.001)]. Procedural time was equivalent between cohorts (p=0.082). AR was rated as significantly more enjoyable (p=0.044), realistic (p=0.003), easy to understand (p=0.040), and proficient in teaching (p=0.02). Conclusion. In this adequately powered, double-blinded randomised-controlled trial, AR training demonstrated substantially improved translational technical skills and knowledge needed to understand TKA over traditional learning in medical students. Additionally, the results showed face, content, and transfer validity for AR in surgical training

Aims. Despite new technologies for total knee arthroplasty (TKA), approximately 20% of patients are dissatisfied. A major reason for dissatisfaction and revision surgery after TKA is persistent pain. The radiological grade of osteoarthritis (OA) preoperatively has been investigated as a predictor of the outcome after TKA, with conflicting results. The aim of this study was to determine if there is a difference in the intensity of pain 12 months after TKA in relation to the preoperative radiological grade of OA alone, and the combination of the intensity of preoperative pain and radiological grade of OA. Methods. The preoperative data of 300 patients who underwent primary TKA were collected, including clinical information (age, sex, preoperative pain), psychological variables (depression, anxiety, pain catastrophizing, anticipated pain), and quantitative sensory testing (temporal summation, pressure pain thresholds, conditioned pain modulation). The preoperative radiological severity of OA was graded according to the Kellgren-Lawrence (KL) classification. Persistent pain in the knee was recorded 12 months postoperatively. Generalized linear models explored differences in postoperative pain according to the KL grade, and combined preoperative pain and KL grade. Relative risk models explored which preoperative variables were associated with the high preoperative pain/low KL grade group. Results. Pain 12 months after TKA was not associated with the preoperative KL grade alone. Significantly increased pain 12 months after TKA was found in patients with a combination of high preoperative pain and a low KL grade (p = 0.012). Patients in this group were significantly more likely to be male, younger, and have higher preoperative pain catastrophizing, higher depression, and lower anxiety (all p ≤ 0.05). Conclusion. Combined high preoperative pain and low radiological grade of OA, but not the radiological grade alone, was associated with a higher intensity of pain 12 months after primary TKA. This group may have a more complex cause of pain that requires additional psychological interventions in order to optimize the outcome of TKA. Cite this article: Bone Joint J 2022;104-B(11):1202–1208

Aims. Neither a surgeon’s intraoperative impression nor the parameters of computer navigation have been shown to be predictive of the outcomes following total knee arthroplasty (TKA). The aim of this study was to determine whether a surgeon, with robotic assistance, can predict the outcome as assessed using the Knee Injury and Osteoarthritis Outcome Score (KOOS) for pain (KPS), one year postoperatively, and establish what factors correlate with poor KOOS scores in a well-aligned and balanced TKA. Methods. A total of 134 consecutive patients who underwent TKA using a dynamic ligament tensioning robotic system with a tibia first resection technique and a cruciate sacrificing ultracongruent TKA system were enrolled into a prospective study. Each TKA was graded based on the final mediolateral ligament balance at 10° and 90° of flexion: 1) < 1 mm difference in the thickness of the tibial insert and that which was planned (n = 75); 2) < 1 mm difference (n = 26); 3) between 1 mm to 2 mm difference (n = 26); and 4) > 2 mm difference (n = 7). The mean one-year KPS score for each grade of TKA was compared and the likelihood of achieving an KPS score of > 90 was calculated. Finally, the factors associated with lower KPS despite achieving a high-grade TKA (grade A and B) were analyzed. Results. Patients with a grade of A or B TKA had significantly higher mean one-year KPS scores compared with those with C or D grades (p = 0.031). There was no difference in KPS scores in grade A or B TKAs, but 33% of these patients did not have a KPS score of > 90. While there was no correlation with age, sex, preoperative deformity, and preoperative KOOS and Patient-Reported Outcomes Measurement Information System (PROMIS) physical scores, patients with a KPS score of < 90, despite a grade A or B TKA, had lower PROMIS mental health scores compared with those with KPS scores of > 90 (54.1 vs 50.8; p = 0.043). Patients with grade A and B TKAs with KPS > 90 were significantly more likely to respond with “my expectations were too low”, and with “the knee is performing better than expected” compared with patients with these grades of TKA who had a KPS score of < 90 (40% vs 22%; p = 0.004). Conclusion. A TKA balanced with robotic assistance to within 1 mm of difference between the medial and lateral sides in both flexion and extension had a higher KPS score one year postoperatively. Despite accurate ligament balance information, a robotic system could not guarantee excellent pain relief. Patient expectations and mental status also significantly affected the perceived success of TKA. Cite this article: Bone Joint J 2021;103-B(6 Supple A):67–73

Abstract. Introduction. Failing total knee replacement management has included isotope bone scan to identify infection or loosening. BASK guidance suggests bone scans have a poor positive predictive value and are not advised. We assessed isotope bone scanning as a negative predictor to exclude loosening or infection in failing total knee replacement. Methodology. Retrospective review of consecutive bone scans performed to investigate painful total knee replacements for a one-year period (June 2017 to June 2018). 166 bone scans performed. 33 excluded (no notes or scan for other reasons). Demographic information, age of prosthesis, clinic review date, serological markers, results of aspiration and subsequent intraoperative findings also recorded. Results. 133 patients, mean age 72.7, average age of prosthesis 6.8 years. 45% scans performed showed evidence of infection or loosening. Of those positive scans, 70% had aspiration and consideration for revision surgery. 73 patients had negative scans. 2 patients had subsequent aspiration and in 1 patient, S. Epidermidis isolated (1 patient had patellar revision and further samples clear of and other patient declined further surgery). Conclusion. Isotope bone scan had a 97.2% negative predictive value making it a very useful tool to evaluate the failing knee replacement and exclude significant loosening or infection

Abstract. Background. Performing lateral extra-articular tenodesis (LET) with ACL reconstruction may conflict with the ACLR femoral tunnel. Methods. 12 fresh-frozen cadaveric knees were used: at 120 flexion, an 8mm ACLR femoral tunnel was drilled in the anteromedial bundle position via the anteromedial portal. A modified Lemaire LET was performed using a 1 cm-wide iliotibial band strip left attached to Gerdy's tubercle. The LET femoral fixation point was identified 10mm proximal / 5 mm posterior to the LCL femoral attachment, and a 2.4-mm guide wire was drilled, aiming at 0, 10, 20, or 30 degrees anteriorly in the axial plane, and at 0, 10, or 20 degrees proximally in the coronal plane. The relationship between the LET drilling guide wire and the ACLR femoral tunnel reamer was recorded for each combination. When collision with the femoral tunnel was recorded, the LET wire depth was measured. Results. Tunnel conflict occurred at a mean LET wire depth of 23.6 mm (15–33 mm). No correlation existed between LET wire depth and LET drilling orientation (r=0.066; p=0.67). Drilling angle in the axial plane was significantly associated with the occurrence of tunnel conflict (P < .001). However, no such association was detected when comparing the drilling angle in the coronal plane (P=0.267). Conclusion. Conflict occurred at as little as 15 mm depth. When longer implants are used, the orientation should be at least 30 degrees anterior in the axial plane. Clinical Relevance. This study provides important information for surgeons performing LET in combination with ACLR

Abstract. Background. Little scientific evidence is available regarding the effect of knee joint line obliquity (JLO). Methods. 10 fresh-frozen human cadaveric knees were axially loaded to 1500 N in a materials testing machine with the joint line tilted 0, 4, 8, and 12 degrees varus and valgus, at 0, and 20 degrees of knee flexion. The mechanical compression axis was aligned to the centre of the tibial plateau. Contact pressures / areas were recorded by sensors inserted between the tibia and femur below the menisci. Changes in relative femoral and tibial position in the coronal plane were obtained by an optical tracking system. Results. medial and lateral JLO caused significant tibiofemoral subluxation and pressure distribution changes. Medial (varus) JLO caused the femur to sublux medially down the coronal slope of the tibial plateau, and vice versa for lateral (valgus) downslopes (P=0.01). Areas of peak pressure moved 12 mm and 8 mm across the medial and lateral condyles, onto the ‘downhill’ meniscus and the ‘uphill’ tibial spine. Changes in JLO had only small effects on maximum contact pressures. Conclusion. A change of JLO during load bearing caused significant mediolateral tibiofemoral subluxation. The femur slid down the slope of the tibial plateau to abut the tibial eminence and also to rest on the downhill meniscus. Clinical Relevance. These results provide important information for understanding the consequences of creating coronal JLO and for clinical practice in terms of osteotomy planning regarding the effect on JLO

Abstract. INTRODUCTION. Geniculate nerve blocks (GNB) and ablation (GNA) are increasing in popularity as strategies for the management of knee pain in patients unsuitable for surgical intervention. Typically these simple blocks have been performed by specialists in pain medicine. We present the results of a GNB clinic run by a surgical care practitioner (SCP). METHODOLOGY. An SCP clinic was created where ultrasound-guided GNBs comprising local anaesthetic and steroid were administered. Patients considered unsuitable for surgery were referred with knee pain by orthopaedic knee surgeons and specialist physiotherapists. A VAS pain score and an Oxford Knee Score (OKS) were completed prior to and immediately following blockade. Serial VAS diaries were completed. Further OKS were requested at 6 weeks and 6 months. Patients could request GNA at any point during follow-up and their follow-up ceased at this stage. RESULTS. 50 patients were identified between December 2020 and 2021. Patients are followed up until 6 months post-block or until referral for GNA. Pre-blockade mean OKS was 13.4, mean VAS 8.6, post procedure mean VAS 2.7. Six-week mean OKS was 20.9 in those not referred for ablation, mean improvement of 7.3. Of the cohort of 50, 25 have progressed to ablation. CONCLUSION. GNB is a simple procedure which can provide both lasting symptomatic relief and prognostic information in the treatment of patients with knee pain not amenable to surgical intervention, a growing subset of patients. This SCP-led clinic increases capacity for the provision of GNBs, helping to identify patients suitable for GNA

Aims. The aim of this study was to evaluate the ability of a machine-learning algorithm to diagnose prosthetic loosening from preoperative radiographs and to investigate the inputs that might improve its performance. Methods. A group of 697 patients underwent a first-time revision of a total hip (THA) or total knee arthroplasty (TKA) at our institution between 2012 and 2018. Preoperative anteroposterior (AP) and lateral radiographs, and historical and comorbidity information were collected from their electronic records. Each patient was defined as having loose or fixed components based on the operation notes. We trained a series of convolutional neural network (CNN) models to predict a diagnosis of loosening at the time of surgery from the preoperative radiographs. We then added historical data about the patients to the best performing model to create a final model and tested it on an independent dataset. Results. The convolutional neural network we built performed well when detecting loosening from radiographs alone. The first model built de novo with only the radiological image as input had an accuracy of 70%. The final model, which was built by fine-tuning a publicly available model named DenseNet, combining the AP and lateral radiographs, and incorporating information from the patient’s history, had an accuracy, sensitivity, and specificity of 88.3%, 70.2%, and 95.6% on the independent test dataset. It performed better for cases of revision THA with an accuracy of 90.1%, than for cases of revision TKA with an accuracy of 85.8%. Conclusion. This study showed that machine learning can detect prosthetic loosening from radiographs. Its accuracy is enhanced when using highly trained public algorithms, and when adding clinical data to the algorithm. While this algorithm may not be sufficient in its present state of development as a standalone metric of loosening, it is currently a useful augment for clinical decision making. Cite this article: Bone Joint J 2020;102-B(6 Supple A):101–106

Aims. Social determinants of health (SDOHs) may contribute to the total cost of care (TCOC) for patients undergoing total knee arthroplasty (TKA). The aim of this study was to investigate the association between demographic data, health status, and SDOHs on 30-day length of stay (LOS) and TCOC after this procedure. Methods. Patients who underwent TKA between 1 January 2018 and 31 December 2019 were identified. A total of 234 patients with complete SDOH data were included. Data were drawn from the Chesapeake Regional Information System, the Centers for Disease Control social vulnerability index (SVI), the US Department of Agriculture, and institutional electronic medical records. The SVI identifies areas vulnerable to catastrophic events with four themed scores: socioeconomic status; household composition and disability; minority status and language; and housing and transportation. Food deserts were defined as neighbourhoods located one or ten miles from a grocery store in urban and rural areas, respectively. Multiple regression analyses were performed to determine associations with LOS and costs after controlling for various demographic parameters. Results. Divorced status was significantly associated with an increased LOS (p = 0.043). Comorbidities significantly associated with an increased LOS included chronic obstructive pulmonary disease/asthma and congestive heart failure (p = 0.043 and p = 0.001, respectively). Communities with a higher density of tobacco stores were significantly associated with an increased LOS (p = 0.017). Comorbidities significantly associated with an increased TCOC included chronic obstructive pulmonary disease (p = 0.004), dementia (p = 0.048), and heart failure (p = 0.007). Increased TCOCs were significantly associated with patients who lived in food deserts (p = 0.001) and in areas with an increased density of tobacco stores (p = 0.023). Conclusion. Divorced marital status was significantly associated with an increased LOS following TKA. Living in food deserts and in communities with more tobacco stores were significant risk factors for increased LOS and TCOC. Food access and ease of acquiring tobacco may both prove to be prognostic of outcome after TKA and an opportunity for intervention. Cite this article: Bone Joint J 2021;103-B(6 Supple A):113–118

Aims. Many patients undergoing total knee arthroplasty (TKA) have severe osteoarthritis (OA) in both knees and may consider either simultaneous or staged bilateral TKA. The implications of simultaneous versus staged bilateral TKA for return to work are not well understood. We hypothesized that employed patients who underwent simultaneous bilateral TKA would have significantly fewer days missed from work compared with the sum of days missed from each operation for patients who underwent staged bilateral TKA. Methods. The prospective arthroplasty registry at the Hospital for Special Surgery was used. Baseline characteristics and patient-reported outcome scores were evaluated. We used a linear regression model, adjusting for potential confounding variables including age, sex, preoperative BMI, and type of work (sedentary, moderate, high activity, or strenuous), to analyze time lost from work after simultaneous compared with staged bilateral TKA. Results. We identified 152 employed patients who had undergone simultaneous bilateral TKA and 61 who had undergone staged bilateral TKA, and had completed the registry’s return to work questionnaire. The simultaneous group missed a mean of 46.2 days (SD 29.1) compared with the staged group who missed a mean total of 68.0 days of work (SD 46.1) when combining both operations. This difference was statistically significant (p < 0.001). In multivariate mixed regression analysis adjusted for age, sex, BMI, American Society of Anesthesiologists status, and type of work, the simultaneous group missed a mean of 16.9 (SD 5.7) fewer days of work compared with the staged group (95% confidence interval 5.8 to 28.1; p = 0.003). Conclusion. Employed patients undergoing simultaneous bilateral TKA missed a mean of 17 fewer days of work as a result of their surgical treatment and rehabilitation compared with those undergoing staged bilateral TKA. This information may be useful to surgeons counselling employed patients with bilateral OA of the knee who are considering surgical treatment. Cite this article: Bone Joint J 2021;103-B(6 Supple A):108–112

Aims. 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. Methods. 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. Results. The results revealed that the US bone models were accurate compared with the CT models (root mean squared error (RM)S: femur, 1.07 mm (SD 0.15); tibia, 1.02 mm (SD 0.13). Additionally, femoral landmarking proved to be accurate (transepicondylar axis: 1.07° (SD 0.65°); posterior condylar axis: 0.73° (SD 0.41°); distal condylar axis: 0.96° (SD 0.89°); medial anteroposterior (AP): 1.22 mm (SD 0.69); lateral AP: 1.21 mm (SD 1.02)). Tibial landmarking errors were slightly higher (posterior slope axis: 1.92° (SD 1.31°); and tubercle axis: 1.91° (SD 1.24°)). For implant sizing, 90% of the femora and 60% of the tibiae were sized correctly, while the remainder were only one size different from the required implant size. No difference was observed between moderate and skilled users. Conclusion. The 3D US bone models were proven to be closely matched compared with CT and suitable for preoperative planning. The 3D US is radiation-free and offers numerous clinical opportunities for bone visualization rapidly during clinic visits, to enable preoperative planning with implant sizing. There is potential to extend its application to 3D dynamic ligament balancing, and intraoperative registration for use with robots and navigation systems. Cite this article: Bone Joint J 2021;103-B(6 Supple A):81–86

Background. Implant loosening is a common cause of a poor outcome and pain after total knee arthroplasty (TKA). Despite the increase in use of expensive techniques like arthrography, the detection of prosthetic loosening is often unclear pre-operatively, leading to diagnostic uncertainty and extensive workup. The objective of this study was to evaluate the ability of a machine learning (ML) algorithm to diagnose prosthetic loosening from pre-operative radiographs, and to observe what model inputs improve the performance of the model. Methods. 754 patients underwent a first-time revision of a total joint at our institution from 2012–2018. Pre-operative X-Rays (XR) were collected for each patient. AP and lateral X-Rays, in addition to demographic and comorbidity information, were collected for each patient. Each patient was determined to have either loose or fixed prosthetics based on a manual abstraction of the written findings in their operative report, which is considered the gold standard of diagnosing prosthetic loosening. We trained a series of deep convolution neural network (CNN) models to predict if a prosthesis was found to be loose in the operating room from the pre-operative XR. Each XR was pre-processed to segment the bone, implant, and bone-implant interface. A series of CNN models were built using existing, proven CNN architectures and weights optimized to our dataset. We then integrated our best performing model with historical patient data to create a final model and determine the incremental accuracy provided by additional layers of clinical information fed into the model. The models were evaluated by its accuracy, sensitivity and specificity. Results. The CNN we built demonstrated high performance at detecting prosthetic loosening from radiographs alone. Our first model built from scratch on just the image as an input had an accuracy of 70%. Our final model which was built by fine-tuning and optimizing a publicly available model named DenseNet, combining the AP and lateral radiographs, incorporating information from the patient history, had an accuracy, sensitivity, and specificity of 98.5%, 93.9%, and 99.5% on the patients that it was trained on, and an accuracy, sensitivity, and specificity of 88.3%, 70.2%, and 95.6% on the patients it was tested on. Conclusions. The use of machine learning (ML) can accurately detect the presence of prosthetic loosening based on plain radiographs. Its accuracy is progressively enhanced when additional clinical data is added to the loosening analysis algorithm. While this type of machine learning may not be sufficient in its present state of development as a standalone metric of loosening, it is clearly a useful augment for clinical decision making in its present state. Further study and development will be needed to determine the feasibility of applying machine learning as a more definitive test in the clinical setting. For figures, tables, or references, please contact authors directly