Osteoarthritis (OA) is the most common disorder of the Sternoclavicular Joint (SCJ). In our case-control study, we evaluated the relationship between clavicular length and OA at the SCJ. CT scans of adults presenting to the Emergency Department of our hospital were examined to look for OA, defined as the presence of osteophytes, subchondral cysts, or cortical sclerosis at the SCJ. Medial-most and lateral-most points of the clavicle were marked on the slices passing through the SC and AC joints respectively. Using x, y, and z-axis coordinates from the DICOM metadata, clavicular length was calculated as the distance between these two points with 3D geometry. Preliminary data of 334 SCJs from 167 patients (64% males, 36% females) with a mean age of 48.5 ± 20.5 years were analysed. Multivariate regression models revealed that age and clavicular length were independent risk factors for OA while gender did not reach statistical significance. A 1mm increase in length was associated with 9% and 7% reduction in the odds of developing OA on the left and the right respectively. Comparing the mean clavicular length using t-test showed a significantly shorter clavicle in the group with OA (145.8 vs 152.7, p=0.0001, left and 144.2 vs 150.3, p=0.0007, right). Our data suggest that the risk of developing OA at the SCJ is higher for shorter clavicles. This could be of clinical relevance in cases of clavicular fracture where clavicular shortening might lead to a higher risk of developing OA. Biomechanical studies are needed to find out the mechanism of this effect

With the coronavirus disease 2019 (COVID-19) pandemic, remote working has been ubiquitously implemented to reduce disease transmission via minimization of in-person interactions. Low back pain (LBP) is the first cause of disability worldwide and is frequently reported by workers with sedentary occupations. This cross-sectional study aimed to assess the role of remote working in a population of adults affected by LBP through an online questionnaire. We enrolled 136 teleworkers affected by LBP. A total of 101 responses were received and 93 suitable questionnaires were included in the final analysis. Demographic data, remote working features and tasks, and LBP burden were analysed. The psychological burden of remote working was evaluated with the World Health Organization Five Well-Being Index (WHO-5) and the Patient Health Questionnaire-2 (PHQ-2). LBP severity was evaluated using a visual analog scale (VAS). LBP-related disability was assessed using the Oswestry Disability Index (ODI). The effect of LBP on working capacity was examined with the Occupational Role Questionnaire (ORQ). Independent risk factors related to LBP worsening were identified using a multivariate logistic regression model. LBP severity was significantly higher compared to previous in-person working (p<0.0001) as well as average weekly work hours (p<0.001). Furthermore, the risk of LBP deterioration was associated with being divorced (OR: 4.28, 95% CI: 1.27-14.47; p=0.019) or living with others (OR: 0.24, 95% CI: 0.07-0.81; p=0.021), higher ill-being (OR: 0.91, 95% CI: 0.83-0.99; p=0.035) and depression scores (OR: 1.38, 95% CI: 1.00-1.91; p=0.048), as well as having reported unchanged (OR: 0.22, 95% CI: 0.08-0.65; p=0.006) or decreased job satisfaction (OR: 0.16, 95% CI: 0.05-0.54; p=0.003) and increased stress levels (OR: 3.00, 95% CI: 1.04-8.65; p=0.042). These findings highlight key factors to consider for improving remote workers’ physical and mental wellbeing and decrease their LBP burden

A hot swollen joint is a commonly encountered condition in clinical practice. With a broad range of differentials, septic arthritis (SA) is perhaps one of the most concerning. Treated by culture-specific antibiotics and arthroscopic lavage, some patients require multiple washouts. We aimed to determine:. (1) What are the risk factors for development of SA?. (2) What are the risk factors for repeat washout in SA patients?. (3) What are the important clinical differences between a periprosthetic joint infection (PJI) and SA cohort?. All patients presenting to the emergency department, orthopaedic, and rheumatology clinics between January 2020 to January 2021 with a hot, swollen joint were retrospectively evaluated. Patients with previous trauma on the ipsilateral joint, with data missing from their medical records in any of the variables required for analysis, <24 months follow-up were excluded. Variables of interest in the three-month period preceding the diagnosis of SA were compared between SA and non-SA patients. Factors with a p-value of p<0.100 in univariate analysis were included in a stepwise multivariate logistic regression model. Similar analyses were performed to compare SA patients with multiple washouts with those needing one washout. Demographical and clinical data for PJI patients were collected to delineate important differences with SA cohort. 211 patients were included (SA:28;PJI:24;pseudogout:32;gout:26;others:101). Multivariate analysis showed rheumatoid arthritis (RA), skin infection, and liver disease were risk factors for SA. Amongst patients with septic arthritis, multivariate analysis showed that WBC levels above normal limits (3.6-10.5×109 cells/L) and RA were risk factors for multiple washouts. Between the SA and PJI cohorts, BMI (p=0.002) was significantly lower in the former, whilst WBC level (p=0.023) and CRP (p<0.0001) was significantly higher in the former. Early diagnosis of septic arthritis requires understanding the risk factors, namely RA, skin infection, and liver disease. Considering PJI and septic arthritis as the same entity can lead to wrong clinical judgement, and clinicians should be aware of important differences. We believe that the models in this study are of prognostic value to clinicians who are presented with the common presenting compliant of a hot swollen joint

Fracture related infections (FRI) are debilitating complications of musculoskeletal trauma surgery that can result in permanent functional loss or amputation. This study aims to determine risk factors associated with FRI treatment failure, allowing clinicians to optimise them prior to treatment and identify patients at higher risk. A major trauma centre database was retrospectively reviewed over a six-year period. Of the 102 patients identified with a FRI (66 male, 36 female), 29.4% (n=30) had acute infections (onset <6 weeks post-injury), 34.3% (n=35) had an open fracture. Open fractures were classified using Gustilo-Anderson (GA) classification (type 2:n=6, type 3A:n=16, type 3B:n=10, type 3C:n=3). Patients with periprosthetic infections of the hip and knee joint, those without prior fracture fixation, soft tissue infections, diabetic foot ulcers, pressure sore infections, patients who died within one month of injury, <12 months follow-up were excluded. FRI treatment failure was defined as either infection recurrence, non-union, or amputation. Lifestyle, clinical, and intra-operative data were documented via retrospective review of medical records. Factors with a P-value of p<0.05 in univariate analysis were included in a stepwise multivariate logistic regression model. FRI treatment failure was encountered in 35.3% (n=36). The most common FRI site was the femoral shaft (16.7%; n=17), and 15.7% (n=16) presented with signs of systemic sepsis. 20.6% (n=21) had recurrent infection, 9.8% (n=10) had non-union, and 4.9% (n=5) required an amputation. The mean age at injury was 49.71 years old. Regarding cardiovascular risk factors, 37 patients were current smokers (36.3%), 31 patients were diabetics (30.4%), and 32 patients (31.4%) were obese (BMI≥30.0). Average follow-up time was 2.37 (range: 1.04-5.14) years. Risk factors for FRI treatment failure were BMI>30, GA type 3c, and implant retention. Given that FRI treatment in 35.3% (36/102) ended up in failure, clinicians need to take into account the predictive variables analysed in this study, and implement a multidisciplinary team approach to optimise these factors. This study could aid clinicians to redirect efforts to improve high risk patient management, and prompt future studies to trial adjuvant technologies for patients at higher risk of failure

Summary Statement. The purpose is to evaluate the effects of internet usage on new patient referral patterns to identify optimal patient recruitment and communication. Overall, social networking and internet may be an effective way for surgeons to recruit a wider patient population. Introduction. Prior studies in other medical specialties have shown that social networking and internet usage has become an increasingly important means of patient communication and referral. However, this information is lacking in the orthopaedics literature. In this study, we evaluate the means by which new patients arrive at orthopaedic clinics in a major academic center. The purpose is to evaluate the effects of internet or social media usage on new patient referral patterns to identify avenues to optimise patient recruitment and communication. Patients and Methods. New patients were recruited in a major academic orthopaedic clinic to complete a 15-item questionnaire with demographic information, social media use/networking and referral method. Data was collected for all orthopaedic sub-specialties and analyzed accordingly. Statistical analysis was performed. Results. Of the 752 responses, there were 66% female and 34% male responses. Responses were obtained from hand (142), sports medicine (303), foot and ankle (129), joints/tumor (95) and trauma (83) services. Overall, 51% report using social networking sites such as Facebook or Twitter. Of the patients that report not using social network sites, 92% are over the age of 40. Joints/tumor patients most commonly had seen another orthopaedic surgeon prior to their visit (59%) and had prior surgery (42%). Most patients traveled under 60 miles and were referred by their primary care physicians. Between 18–26% of all patients used a physician review website before consultation. The majority of the patients prefer communicating with their physician via the phone(68%) compared to email(32%). Independent associations found that sports medicine patients tend to be higher social networking users (35.9%) relative to other services (9.8–17.9%) and was statistically higher when compared to the joints/tumor service (P<.0001). The multivariate logistic regression model showed that the sports service was generally more likely to have social networking users with the exception of the foot/ankle service), however these differences were not statistically significant. The biggest indicator predicting social media usage in the orthopaedic population was age. The older the patient population, the less likely patients will use social networking sites. Non-doctorate patients were more likely to be social media users compared to doctorate level individuals, but was not statistically significant. Patients that lived from 120 to 180 miles from the hospital were significantly more likely to be social media users, as were patients that did research on their condition prior to their new patient appointment. Discussion and Conclusion. Orthopaedic patients who use social media are more likely to be younger, research their condition prior to their appointment and undergo an average day's travel (120–180 miles) to see a physician. Up to 26% of all patients have seen or used a physician review site prior to their visit. Despite the increased social media usage, most orthopaedic patients still prefer telephone communication with their physicians. Overall, social networking and internet may be an effective way for surgeons to recruit a wider patient population. In an increasingly competitive market, surgeons with younger patient populations (Sports Medicine) will need to utilise social networking and the internet to capture new patient referrals