A quick, portable and reliable tool for predicting ACL injury could be an invaluable instrument for athletes, coaches, and clinicians. The gold standard, Vicon motion analysis, despite having a high sensitivity and risk specificity, is not practical for coaches or clinicians to use on a routine basis for assessing athletes. The present study validated the Kinect device to the currently used method of chart review in predicting athletes at high risk.

A total of 114 participants were recruited from both the men and women McGill Varsity Sports Program. 69 males and 45 female athletes were evaluated to assess the specificity and sensitivity of the Kinect device in predicting athletes at high risk of injury. Each athlete performed three-drop vertical jumps off of a 31cm box and the data was recorded and risk score was generated. Generation of this data is done by our uniquely programmed software that measures landing angles at different time frames and compares live results to previously known data of injured athletes. A chart review was then performed by a clinician, blinded to these risk scores, to risk stratify the same athletes as high or low risk of ACL injury based on their medical charts. Data reviewed incorporated pre-season physical exams along with documented known risk factors for ACL injury, including previous knee injuries, family history of ACL injury, gender, sport, and BMI. Positive risk factors were assigned one point while negative risk factors assigned zero points.

The Kinect device, powered by our software, identified 40 athletes as having a high-risk score (> 55%), and subsequently, five (4.39%) sustained an ACL injury by the end of their respective sport seasons. Two male and two female basketball players along with one male soccer player sustained non-contact ACL injuries. Given that all five of the injured athletes were in the cohort of 40 identified as high risk by the Kinect, this yielded a sensitivity of 100% for the device. As for the specificity, the Kinect computed 35 false positives, yielding a specificity of 68% for the duration of the study. The medical chart review identified 36 athletes as high risk and 60 as being low risk of ACL injury. Four of the athletes that sustained an ACL injury were in the group of 36 identified as high risk by the clinician. However, one of the five participants who sustained an ACL injury was not captured by the medical chart assessment, yielding a sensitivity of 80% and a specificity of 65% for the clinician.

When it comes to injury prediction, it is preferred to have a high sensitivity even if the specificity is slightly lower as this ensures that all athletes who are at risk will be captured. Our data demonstrated that the chart analysis provided one false negative and led to missing one high-risk athlete who ended up sustaining an ACL injury. Based on the comparison of sensitivity and specificity, the Kinect system provides a slightly better predictive analysis for predicting ACL injury compared to chart review.

Purpose. Change of the pelvic tilt is an important factor affecting walking after total hip arthroplasty (THA). There are many reports of static evaluation of pelvic tilt by X-ray, however, there are few reports of dynamic evaluation during walking. In this study, we investigated change of pelvic tilt of THA subjects before and after operation during walking using an optical position sensor. Subjects and Methods. 5 normal volunteers (mean age 26.6 years old, Control group) and 10 patients who underwent primary THA due to unilateral osteoarthritis of the hip (mean age 61 years old, THA group) were enrolled. We have measured angle of the hip and inclination of the pelvis in the mid-stance phase of the affected limb during walking using a motion analyzer (MAC3D system) and acquired physical assessment of the hip preoperatively, 3 weeks postoperatively and 3 months postoperatively. The acquired data of inclination of the pelvis was classified as Duchenne or Trendelenburg type compared with that of normal volunteers. Result. Trendelenburg type in 6 patients and Duchenne type in 4 patients were found preoperatively with THA group. Trendelenburg type showed abductor muscle weakness and limited range of motion (ROM) in hip abduction, and Duchenne type showed a limited ROM in hip adduction with physical examination. At 3 weeks after surgery, 9 of 10 THA patients resulted in the Duchenne type. At 3 months after surgery, the inclination angle of the pelvis showed the same as that of healthy subjects in 5 of the 9 patients, in which hip abduction ROM increased and abductor muscle strength recovered among Trendelenburg type and hip adduction ROM increased among Duchenne type (Figure 1). The pelvic inclination returned to preoperative state in 4 patients, in which limitation of hip abduction ROM and abductor muscle weakness remained in Trendelenburg type preoperatively and limitation of hip adduction ROM remained in Duchenne type preoperatively (Figure 2). Discussion. As a risk factor for limping after THA, preoperative limitation of ROM in hip abduction or adduction can be related, leading to necessity of systematical estimation for ROM of the hip with physical assessment and pelvic tilt type in the mid-stance during walking prior to surgery. In addition, preoperative maximum hip adduction angle and abduction muscle strength can be affected to change of the pelvic tilt after THA. It is important to recover of these ROM and muscle strength with physical therapy for prevention of postoperative limping

Introduction. Most studies now use Patient Reported Outcome Measures (PROMS) as the preferred and only method for assessing ‘functional outcome’ following surgery. It is thought that these questionnaires accurately reflect the patient's pain and physical function. We hypothesised that comprehensive functional examination would therefore correlate strongly with PROMS following total knee arthroplasty (TKA). Methods. We prospectively assessed the function of 100 consecutive knee replacement patients, pre-operatively, then at 8, 26 and 52 weeks post-operatively. PROMS employed were the Oxford Knee Score (OKS) and the Short Form-36. Additionally, leg strength (Leg Extensor Power Rig(tm)), a validated battery of timed functional tasks (Aggregated Locomotor Function, ALF) and pain scores (numerical rating scale) were also assessed. Statistical analysis was performed using the Minitab version 15 software. Level of significance was set as p = < 0.05. Results. Seven patients were lost to follow-up, leaving 93 data sets available for analysis. All of the individual outcome measures showed statistically significant improvement between each of the assessment periods (paired sample t-test, p = < 0.05). Strong correlation was observed between the two PROMS (r = 0.74). Comparatively small correlations were identified between the PROMS and physical assessments (r = < 0.41). The pain scores correlated modestly well with the OKS (r = 0.61) but comparatively poorly with the physical assessments (r = < 0.37). Conclusion. PROMS correlate well with pain, but less well with function following TKA. These results suggest that PROMS may not fully represent actual physical function, but rather the patient's perception of their function. With the advancement of PROMS as the prime outcome measure of most studies, it is important to acknowledge that the assessment provided may be incomplete and, though a useful means of assessing large cohorts, their limitation in assessing functional outcome should be recognised

Background. There is a recent interest and focus on reducing the length of stay and early discharge after total joint replacement (TJR). However, safety criteria for same-day (SD) or next-day (ND) home discharge are not well defined. We implemented a screening questionnaire to identify patients that qualify for early home discharge. The aim of this study was to assess the efficiency of this questionnaire and short-term outcomes including re-admission and peri-operative complications after TJR. Methods. Between January 2016 and July 2017, 423 consecutive primary hip and knee arthroplasties were performed by the two senior surgeons at our institution. All cases were followed for a minimum of 3-month prospectively after institutional review board approval. Patients were divided based on using a pre-operative questionnaire to determine their disposition after surgery. Group 1 includes 121 cases as control and group 2 includes 302 cases with pre-operative questionnaire. Spinal anesthesia and multimodal pain management including peri-articular injection was used in all cases. The pre-operative questionnaire (PQ, Swiftpath, Inc) included an overall score based on age, comorbidities, body mass index, physical assessment, motivation, comprehension, family support, home setup (i.e. easy access/stairs), proximity to the hospital and lack of serious barriers to early home discharge. Patients were divided into 3 categories based on the score: SD/ND home, regular home discharge and rehabilitation/subacute nursing facility (SNF) discharge. Length of stay (LOS), post-operative complications, readmissions, and discharge destination were assessed. Correlation the questionnaire score and outcomes were assessed. Results. In group 1, 29% of the patients were discharged home after minimum 2 days after surgery with home services and 71% were discharged to short- or long-term rehabilitation center. The mean length of stay was 4.6 ± 2.5 days (range 2 to 7 days). 3% had symptomatic DVT and one patient pulmonary embolism during hospital stay, all after total knee arthroplasty. There was one re-operation for acute periprosthetic infection (0.8%), two cardiopulmonary events (1.6%), and 4 other ER visits for inadequate pain control (3%). In group 2, 51% of the patients were discharged home, 6% of which (10 patients) were same-day discharge. The mean length of stay was 2.2 ± 0.8 days (range 0 to 5 days). One patient (1%) had symptomatic DVT. There were 5 (1.6%) ER visits for wound concerns and pain. There were no acute re-admissions, infections or re-operations. Conclusions. Implementation of a screening questionnaire for SD/ND early discharge is safe and results in significant reduction of length of stay, higher discharge to home, lower rate of DVT/PE/cardiopulmonary complications and less ER visits

Virtual encounters have experienced an exponential rise amid the current COVID-19 crisis. This abrupt change, seen in response to unprecedented medical and environmental challenges, has been forced upon the orthopaedic community. However, such changes to adopting virtual care and technology were already in the evolution forecast, albeit in an unpredictable timetable impeded by regulatory and financial barriers. This adoption is not meant to replace, but rather augment established, traditional models of care while ensuring patient/provider safety, especially during the pandemic. While our department, like those of other institutions, has performed virtual care for several years, it represented a small fraction of daily care. The pandemic required an accelerated and comprehensive approach to the new reality. Contemporary literature has already shown equivalent safety and patient satisfaction, as well as superior efficiency and reduced expenses with musculoskeletal virtual care (MSKVC) versus traditional models. Nevertheless, current literature detailing operational models of MSKVC is scarce. The current review describes our pre-pandemic MSKVC model and the shift to a MSKVC pandemic workflow that enumerates the conceptual workflow organization (patient triage, from timely care provision based on symptom acuity/severity to a continuum that includes future follow-up). Furthermore, specific setup requirements (both resource/personnel requirements such as hardware, software, and network connectivity requirements, and patient/provider characteristics respectively), and professional expectations are outlined. MSKVC has already become a pivotal element of musculoskeletal care, due to COVID-19, and these changes are confidently here to stay. Readiness to adapt and evolve will be required of individual musculoskeletal clinical teams as well as organizations, as established paradigms evolve.

Cite this article: Bone Joint Open 2020;1-6:272–280.