Background. Fungal infection at an arthroplasty site is rare and poses a therapeutic challenge. To the best of our knowledge, no reports have been published thus far on the success rate of prosthesis reimplantation after fungal prosthetic joint infections. Questions/purposes. We asked: (1) What is the success rate in terms of infection eradication using a two-stage exchange arthroplasty in patients with hip or knee fungal periprosthetic joint infections, particularly focusing on Candida infections? (2) What patient-, infection-, and treatment-related variables are associated with the success or failure of treatment?. Methods. From January 2000 to December 2010, 16 patients with hip or knee candidal periprosthetic joint infections were treated with two-stage exchange arthroplasty at our institute. Treatment success was defined as a well-functioning joint without relapse of candidal infection after prosthesis reimplantation, while treatment failure was defined as uncontrolled or a relapse of candidal infection or mortality. Variables, including age, sex, comorbidities, microbiology, antimicrobial agents used, and operative methods, were analyzed. Minimum followup was 28 months (mean, 41 months; range, 28–90 months). Results. At latest followup, the treatment failed to eradicate the infection in eight of the 16 patients, and there were four deaths related to fungemia. Four patients required permanent resection arthroplasty owing to uncontrolled or recurrent candidal infections. All eight patients (50% successful rate) who had their infections eradicated and successful prosthesis reimplantation had prolonged treatment with oral fluconazole before (mean, 8 months) and after (mean, 2.2 months) prosthesis reimplantation. The antifungal therapy correlated with successful treatment. Renal insufficiency, hypoalbuminemia, anemia, and chronic obstructive pulmonary disease were significantly more prevalent in the treatment-failure group than in the treatment-success group. Conclusions. Half of the patients treated with two-stage exchange arthroplasty for fungal periprosthetic joint infections had recurrence or lack of control of the infection. A prolonged antifungal therapy appeared to be essential for successful treatment of candidal periprosthetic joint infections. The presence of renal insufficiency, hypoalbuminemia, anemia, or chronic obstructive pulmonary disease might be associated with a poor outcome

We have conducted a case-control study over a period of ten years comparing both deep infection with methicillin-resistant staphylococcus aureus (MRSA) and colonised cases with a control group. Risk factors associated with deep infection were vascular diseases, chronic obstructive pulmonary disease, admission to a high-dependency or an intensive-care unit and open wounds. Those for colonisation were institutional care, vascular diseases and dementia. Older age was a risk factor for any MRSA infection. The length of hospital stay was dramatically increased by deep infection. These risk factors are useful in identifying higher-risk patients who may be more susceptible to MRSA infection. A strategy of early identification and isolation may help to control its spread in trauma units

Aim. Haematogenous prosthetic joint infections account for 20-35% of total prosthetic infections. Debridement, antibiotics and implant retention (DAIR) is a well-accepted treatment for these infections and probably the most desired by surgeons, since it tries to maintain a functional and stable implant. However, the risk of DAIR failure is not negligible and some risk factors have been described, and also, different scores, such as CRIME80. Nonetheless, less is known about the impact of positive blood cultures may have on DAIR treatment. The aim of our study is to analyze whether the presence of a positive culture is a risk factor for DAIR failure. Method. A retrospective cohort study of 50 late acute haematogenous TKA infections was performed from 2015 to 2023. DAIR failure was defined as the need of a subsequent intervention either a new DAIR or a revision surgery. So, patients were divided into two groups depending on the surgical outcome: successful (SG) vs failure (FG). Demographic variables including age, gender, affected side and body mass index were collected. Patient's comorbidities were also collected including chronic obstructive pulmonary disease (COPD), diabetes, rheumatoid arthritis (RA), cirrhosis and chronic renal failure, etc. Other variables, such as ones included in CRIME80 (C-reactive protein (CRP) >150mg/dl and polyethylene exchange), were also collected. Results. 30 patients had a successful DAIR outcome (60%). Age and sex do not act as risk factors [OR 0.7 (0.2-2.6) and OR 0.4 (0.1-1.3)]. Neither do COPD [OR 3.3 (0.5-2.0), p=0.2]; RA [OR 0.8 (0.2-3.1), p=0.7]; CRP value [3.2 (0.9-11.2), p=0.06]; and polyethylene exchange [OR 0.4 (0.1-2.5), p= 0.3]. Thirty-five blood cultures (70%) were obtained before surgery (20 SG and 15 FG). Nine of the obtained blood cultures were positive (25.7%), being 7 from FG (46.7%) [OR 7.6 (1.3-4.8), p=0.02]. A logistic regression was performed where positive blood cultures were the only significant variable to predict DAIR failure (OR 12, 95% CI 1.1−18, p=0.049), after adjusting for all CRIME80 variables. Skin and soft tissue origin was described in 5 of the nine positive blood cultures (55.6%). Cardiovascular system was the second most common spread (22.2%), and then followed by urogenital and digestive tract. The most common microorganism in FG was Staphylococcus aureus (57.1%) [OR 6.4 (0.2-18.0), p=0.2]. Conclusions. Positive blood cultures may be another risk factor for DAIR failure. This can be important in diagnosis and it may be taken into account in antibiotic and surgical treatment strategies

Aim. To investigate self-reported quality of life (QoL) in patients with osteomyelitis referred to a specialist centre in the UK and investigate the relationship between QoL and BACH classification. Method. All patients newly referred to a specialist bone infection clinic at a single tertiary centre within the UK between January 2019 and February 2020 were prospectively included. Diagnosis of osteomyelitis was made according to the presence of clinical and radiological criteria for ≥6 months. An EQ-5D-5L questionnaire and visual analogue score (VAS) were completed during the initial clinic appointment. Long-bone osteomyelitis was classified by the attending orthopaedic surgeon using the BACH classification system as either uncomplicated, complex or with limited options available.1 Patients managed non-operatively were subclassified into those who were (i) unfit to receive an operation or (ii) fit and well with stable disease. EQ-5D index scores were compared to a published UK value set of 41 chronic health conditions within the UK.2. Results. 201 patients were referred during the study period, with 159 (79.1%) patients diagnosed with long-bone osteomyelitis and 16 (8.0%) with osteomyelitis of the pelvic bones. Patients with pelvic osteomyelitis reported lower EQ-5D index scores compared to long-bone osteomyelitis (EQ-5D: 0.097 vs. 0.435, p<0.001) but similar VAS (60.2 vs. 54.6, p=0.37). Long-bone and pelvic osteomyelitis gave the 40th and 41st lowest EQ-5D scores respectively when compared to 41 other chronic health conditions including stroke, chronic obstructive pulmonary disease, kidney disease, liver disease and malignancy. Patients classified as having uncomplicated long-bone osteomyelitis reported significantly higher QoL compared to those classified as complex osteomyelitis (EQ-5D: 0.527 vs. 0.401, p<0.05; VAS: 66.9 vs. 58.4, p<0.05). Patients who were not fit for surgery due to co-morbidity reported similar QoL scores compared to those patients with complex osteomyelitis (EQ-5D: 0.293, p=0.07; VAS: 46.6, p=0.06). Patients with stable disease who did not require surgery, gave significantly better QoL scores when compared to the other classifications of osteomyelitis (EQ-5D: 0.746, p<0.01; VAS: 81.9, p<0.01). Conclusions. Patient reported QoL in osteomyelitis correlates with disease complexity as classified according to the BACH classification system. Patients with pelvic and long-bone osteomyelitis rate their QoL lower than patients with other chronic diseases

Elderly patients undergoing surgery for a hip fracture are at risk of thromboembolic events (TEV). The risk of TEV is now rare due to thromboprophylaxis. However, hip fracture treatment has evolved over the last decade. The risk of TEV may have been modified. The objective of this study was to determine the risk of symptomatic TEV following surgery for a hip fracture, in an elderly population. Retrospective cohort study of all patients > 65 years old undergoing surgery for a femoral neck or intertrochanteric hip fracture in two academic centers, between January 1st 2008 and January 1st 2019. The follow-up was fixed at 3 months. The cumulated risk of thromboembolic events was calculated using the Kaplan-Meier estimator and a predictive logistic regression model was used to determine risk factors. 3265 patients were eligible for analysis. The mean age was 83.3 ±8.1 years old and 75.6% of patients were female. The mortality was 7.55% (N=112) at 3 months. 98.53% of this cohort received thromboprophylaxis. The cumulated risk for a thromboembolic event was 3.55% at 1 month and 6.41% at 3 months (N=99). There were 9 fatal pulmonary embolisms. 89.19% thromboembolic events occurred within 20 days following surgery. Chronic obstructive pulmonary disease (odds ratio 1.909 [1.179–3.089]), renal failure (odds ratio 1.896 [1.172–3.066]) and the use of a bridge between different types of anticoagulant (odds ratio 2.793 [1.057–7.384]) were associated with TEV. The risk of bleeding was 5.67% at 1 month and 9.38% at 3 months (N=142). 77% of bleeding events were hematomas. The risk of thromboembolic events is higher than expected in a population treated for this condition. Most thromboembolic events occur shortly following surgery. The risk of bleeding is high and most of them are hematomas. Future research could focus on the management of thromboprophylaxis in elderly patients undergoing surgery for a hip fracture

Introduction. This study assesses self-reported quality of life (QoL) in patients with osteomyelitis referred to a specialist centre in the UK. Materials and Methods. All patients newly referred to a specialist tertiary bone infection clinic within the UK between January 2019 and February 2020 were prospectively included. Diagnosis of osteomyelitis was made according to the presence of clinical and radiological criteria for ≥6 months. An EQ-5D-5L questionnaire and visual analogue score (VAS) were completed during the initial clinic appointment. Long-bone osteomyelitis was classified by the attending orthopaedic surgeon using the BACH classification system as either uncomplicated, complex or with limited options available. Patients managed non-operatively were subclassified into those who were (i) unfit to receive an operation or (ii) fit and well with stable disease. EQ-5D index scores were compared to a published UK value-set of 41 chronic health conditions within the UK. Results. 201 new patients were referred during the study period. 159 (79.1%) met the criteria for long-bone osteomyelitis and 16 (8.0%) for osteomyelitis of the pelvic bones. Patients with pelvic osteomyelitis reported lower EQ-5D index scores compared to long-bone osteomyelitis (EQ-5D:0.097 vs. 0.435, p<0.001) but similar VAS (60.2 vs. 54.6, p=0.37). Long-bone and pelvic osteomyelitis gave the lowest EQ-5D scores respectively when compared to 41 other chronic health conditions including stroke, chronic obstructive pulmonary disease, kidney disease, liver disease and malignancy. Patients classified as having uncomplicated long-bone osteomyelitis reported significantly higher QoL compared to those classified as complex osteomyelitis (EQ-5D:0.527 vs. 0.401, p<0.05; VAS: 66.9 vs. 58.4, p<0.05). Patients not fit for surgery due to co-morbidity reported similar QoL scores compared to those patients with complex osteomyelitis (EQ-5D: 0.293, p=0.07; VAS: 46.6, p=0.06). Patients with stable disease who did not require surgery, gave significantly better QoL scores when compared to the other classifications of osteomyelitis (EQ-5D: 0.746, p<0.01; VAS: 81.9, p<0.01). Conclusions. Patient reported QoL in osteomyelitis correlates with disease complexity as classified according to the BACH classification system. Patients with pelvic and long-bone osteomyelitis rate their QoL lower than patients with other major chronic diseases

Recent studies have described safe outcomes for short-stays in the hospital after total shoulder arthroplasty. The purpose of this study is to identify pre-operative and operative risk factors for hospital admissions exceeding 24 hours. The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried from 2006 to 2016 for the current procedural terminology (CPT) billing code related to total shoulder arthroplasty. Patients were then grouped as either having a length of stay (LOS) equal to or less than 24 hours or greater than 24 hours. Patients admitted to the hospital prior to the day of surgery were excluded. Patient demographics, co-morbidities, and operative time were then analyzed as risk factors for a hospital stay exceeding 24 hours. Pre-operative co-morbidities included body mass index (BMI), diabetes, smoking, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), hypertension, dialysis, chronic steroid or immunosuppressant use, bleeding disorders, and American Society of Anesthesiologists (ASA) Classification. Univariate and multivariate analyses were then performed to identify risk factors associated with 30-day readmission. 14,339 patients met inclusion criteria and 6,507 (45.3%) had a hospital LOS less than or equal to 24 hours. The mean length of hospitalization was 1.95 ± 1.88 days, the average age was 69 ± 9.7 years old, and 56.9% of the patients were female. Following a risk adjusted multivariate analysis, increasing age (odds ratio [OR], 1.03, 95% confidence interval [CI], 1.02–1.03), ASA classification (OR, 1.50, 95% CI, 1.41–1.60), diabetes (OR, 1.69, 95% CI, 1.43–1.99), COPD (OR, 1.35, 95% CI, 1.16–1.57), CHF (OR, 2.67, 95% CI, 1.34–5.33), dialysis (OR, 2.47, 95% CI, 1.28, 4.77), history of a bleeding disorder (OR, 1.50, 95% CI, 1.20–1.88), or increasing operative time (OR, 1.01, 95% CI, 1.01–1.01) were identified as independent risk factors for hospital lengths of stay exceeding 24 hours. Male gender was identified as a protective factor for prolonged hospitalization (OR, 0.50, 95% CI, 0.46–0.53). This study identifies patient demographics, co-morbidities, and operative-relative risk factors that are associated with increased risk for a prolonged hospitalization following total shoulder arthroplasty. Female gender, increasing age, ASA classification, operative time, or a history of diabetes, COPD, CHF, or history of a bleeding disorder are risk factors hospitalizations exceeding 24 hours

Purpose. The purpose of this study was to evaluate the effect of common medical comorbidities on the reimbursements of different shoulder arthroplasty procedures. Methods. We conducted a retrospective query of a private payer insurance claims database of prospectively collected data (PealDiver). Our search included the Current Procedural Terminology Codes (CPT) and International Classification of Disease (ICD) ninth edition codes for Total Shoulder Arthroplasty (TSA), Hemiarthroplasty (HA) and Reverse Shoulder Arthroplasty (RSA). Medical comorbidities were also searched for through ICD codes. The comorbidities selected for analysis were obesity, morbid obesity, hypertension, smoking, diabetes mellitus, hyperlipidemia, atrial fibrillation, chronic obstructive pulmonary disease (COPD), cirrhosis, depression and chronic kidney disease (CKD) (excluding end stage renal disease). The study period comprised claims from 2010 to 2014. The reimbursement charges of the day of surgery, 90-day global period and 90-day period excluding the initial surgical day of each comorbidity were analyzed and compared. Statistical analysis was conducted trough analysis of variance (ANOVA) when the data was normally distributed or through Kruskal-Wallis comparison when it was not. An alpha value of less than 0.05 was deemed as significant. Results. Comorbidities did not have a significant effect on same day reimbursements (Figure 1), but instead caused a significant effect on the 90-day global period reimbursements in the TSA and RSA cohorts (figure 2). For TSA and RSA the highest reimbursed patients at the 90-day period following surgery were the ones that had a diagnosis of Hepatitis C followed by atrial fibrillation and later COPD. For HA the same was true in the following order: Hepatitis C, Cirrhosis and atrial fibrillation (Figure 3). Conclusion. Shoulder arthroplasty reimbursements are significantly affected by comorbidities at time intervals following the initial surgical day. For figures/tables, please contact authors directly.

Over 300,000 total hip arthroplasties (THA) are performed annually in the USA. Surgical Site Infections (SSI) are one of the most common complications and are associated with increased morbidity, mortality and cost. Risk factors for SSI include obesity, diabetes and smoking, but few studies have reported on the predictive value of pre-operative blood markers for SSI. The purpose of this study was to create a clinical prediction model for acute SSI (classified as either superficial, deep and overall) within 30 days of THA based on commonly ordered pre-operative lab markers and using data from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. All adult patients undergoing an elective unilateral THA for osteoarthritis from 2011–2016 were identified from the NSQIP database using Current Procedural Terminology (CPT) codes. Patients with active or chronic, local or systemic infection/sepsis or disseminated cancer were excluded. Multivariate logistic regression was used to determine coefficients, with manual stepwise reduction. Receiver Operating Characteristic (ROC) curves were also graphed. The SSI prediction model included the following covariates: body mass index (BMI) and sex, comorbidities such as congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), smoking, current/previous steroid use, as well as pre-operative blood markers, albumin, alkaline phosphate, blood urea nitrogen (BUN), creatinine, hematocrit, international normalized ratio (INR), platelets, prothrombin time (PT), sodium and white blood cell (WBC) levels. Since the data met logistic assumption requirements, bootstrap estimation was used to measure internal validity. The area under the ROC curve for final derivations along with McFadden's R-squared were utilized to compare prediction models. A total of 130,619 patients were included with the median age of patients at time of THA was 67 years (mean=66.6+11.6 years) with 44.8% (n=58,757) being male. A total of 1,561 (1.20%) patients had a superficial or deep SSI (overall SSI). Of all SSI, 45.1% (n=704) had a deep SSI and 55.4% (n=865) had a superficial SSI. The incidence of SSI occurring annually decreased from 1.44% in 2011 to 1.16% in 2016. Area under the ROC curve for the SSI prediction model was 0.79 and 0.78 for deep and superficial SSI, respectively and 0.71 for overall SSI. CHF had the largest effect size (Odds Ratio(OR)=2.88, 95% Confidence Interval (95%CI): 1.56 – 5.32) for overall SSI risk. Albumin (OR=0.44, 95% CI: 0.37 – 0.52, OR=0.31, 95% CI: 0.25 – 0.39, OR=0.48, 95% CI: 0.41 – 0.58) and sodium (OR=0.95, 95% CI: 0.93 – 0.97, OR=0.94, 95% CI: 0.91 – 0.97, OR=0.95, 95% CI: 0.93 – 0.98) levels were consistently significant in all clinical prediction models for superficial, deep and overall SSI, respectively. In terms of pre-operative blood markers, hypoalbuminemia and hyponatremia are both significant risk factors for superficial, deep and overall SSI. In this large NSQIP database study, we were able to create an SSI prediction model and identify risk factors for predicting acute superficial, deep and overall SSI after THA. To our knowledge, this is the first clinical model whereby pre-operative hyponatremia (in addition to hypoalbuminemia) levels have been predictive of SSI after THA. Although the model remains without external validation, it is a vital starting point for developing a risk prediction model for SSI and can help physicians mitigate risk factors for acute SSI post THA

Hip fractures are among the most common orthopaedic injuries and represent a growing burden on healthcare as our population ages. Despite improvements in preoperative optimisation, surgical technique and postoperative care, complication rates remain high. Time to surgery is one of the few variables that may be influenced by the medical team. The aim of the present study was to evaluate the impact of time to surgery on mortality and major complications following surgical fixation of hip fractures. Utilising the American College of Surgeons' National Quality Improvement Program (NSQIP) database, we analysed all hip fractures (femoral neck, inter-trochanteric, and sub-trochanteric) treated from 2011 to 2013 inclusively. We divided patients into three groups based on time to surgery: less than one day (<24h), one to two days (24–48h), and two to five days (48–120h). Baseline characteristics were compared between groups and a multivariate analysis performed to compare 30-day mortality and major complications (return to surgery, deep wound infection, pneumonia, pulmonary embolus, acute renal failure, cerebrovascular accident, cardiac arrest, myocardial infarction, or coma) between groups. A total of 14,730 patients underwent surgical fixation of a hip fracture and were included in our analysis. There were 3,475 (24%) treated <24h, 9,960 (67%) treated 24–48h, and 1,295 (9%) treated 48–120h. Thirty-day mortality and major complication rates were 5.0% and 6.2% for the <24h group, 5.3% and 7.0% for the 24–48h group, 7.9% and 9.7% for the 48–120h group respectively. After controlling for baseline demographic differences between groups (age, sex, race) as well as pertinent comorbidities (diabetes, dyspnea, chronic obstructive pulmonary disease, chronic steroid use, hypertension, cancer, bleeding disorders, and renal failure), time to surgery beyond 48h resulted in greater odds of both mortality (1.45, 95%CI 1.10–1.91) and major complications (1.45, 95%CI 1.12–1.84). Time to surgery is one of the few variables that can be influenced by timely medical assessment and access to the operation room. Expediting surgery within 48h of hip fracture is of paramount importance as it may significantly reduce the risk of mortality as well as major complications

Total knee arthroplasty (TKA) is the most commonly performed elective orthopaedic procedure. With an increasingly aging population, the number of TKAs performed is expected to be ∼2,900 per 100,000 by 2050. Surgical Site Infections (SSI) after TKA can have significant morbidity and mortality. The purpose of this study was to construct a risk prediction model for acute SSI (classified as either superficial, deep and overall) within 30 days of a TKA based on commonly ordered pre-operative blood markers and using audited administrative data from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. All adult patients undergoing an elective unilateral TKA for osteoarthritis from 2011–2016 were identified from the NSQIP database using Current Procedural Terminology (CPT) codes. Patients with active or chronic, local or systemic infection/sepsis or disseminated cancer were excluded. Multivariate logistic regression was conducted to estimate coefficients, with manual stepwise reduction to construct models. Bootstrap estimation was administered to measure internal validity. The SSI prediction model included the following co-variates: body mass index (BMI) and sex, comorbidities such as congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), smoking, current/previous steroid use, as well as pre-operative blood markers, albumin, alkaline phosphatase, blood urea nitrogen (BUN), creatinine, hematocrit, international normalized ratio (INR), platelets, prothrombin time (PT), sodium and white blood cell (WBC) levels. To compare clinical models, areas under the receiver operating characteristic (ROC) curves and McFadden's R-squared values were reported. The total number of patients undergoing TKA were 210,524 with a median age of 67 years (mean age of 66.6 + 9.6 years) and the majority being females (61.9%, N=130,314). A total of 1,674 patients (0.8%) had a SSI within 30 days of the index TKA, of which N=546 patients (33.2%) had a deep SSI and N=1,128 patients (67.4%) had a superficial SSI. The annual incidence rate of overall SSI decreased from 1.60% in 2011 to 0.68% in 2016. The final risk prediction model for SSI contained, smoking (OR=1.69, 95% CI: 1.31 – 2.18), previous/current steroid use (OR=1.66, 95% CI: 1.23 – 2.23), as well as the pre-operative lab markers, albumin (OR=0.46, 95% CI: 0.37 – 0.56), blood urea nitrogen (BUN, OR=1.01, 95% CI: 1 – 1.02), international normalized ratio (INR, OR=1.22, 95% CI:1.05 – 1.41), and sodium levels (OR=0.94, 95% CI: 0.91 – 0.98;). Area under the ROC curve for the final model of overall SSI was 0.64. Models for deep and superficial SSI had ROC areas of 0.68 and 0.63, respectively. Albumin (OR=0.46, 95% CI: 0.37 – 0.56, OR=0.33, 95% CI: 0.27 – 0.40, OR=0.75, 95% CI: 0.59 – 0.95) and sodium levels (OR=0.94, 95% CI: 0.91 – 0.98, OR=0.96, 95% CI: 0.93 – 0.99, OR=0.97, 95% CI: 0.96 – 0.99) levels were consistently significant in all prediction models for superficial, deep and overall SSI, respectively. Overall, hypoalbuminemia and hyponatremia are both significant risk factors for superficial, deep and overall SSI. To our knowledge, this is the first prediction model for acute SSI post TKA whereby hyponatremia (and hypoalbuminemia) are predictive of SSI. This prediction model can help fill an important gap for predicting risk factors for SSI after TKA and can help physicians better optimize patients prior to TKA

To progress to a same day surgery program for arthroplasty, it is important that we examine and resolve the issues of why patients stay in the hospital. The number one reason is fear and anxiety of the unknown and of surgical pain. The need for hospital stay is also related to risk arising from comorbidities and medical complications. Patients also need an extended stay to manage the side effects of our treatment, including after effects of narcotics and anaesthesia, blood loss, and surgical trauma. The process begins pre-operatively with an appropriate orthopaedic assessment of the patient and determination of the need for surgery. The orthopaedic team must motivate the patient, and ensure that the expectations of the patient, family and surgeon are aligned. In conjunction with our affiliated hospitalist group that performs almost all pre-admission testing, we have established guidelines for patient selection for outpatient arthroplasty. The outpatient surgical candidate must have failed conservative measures, must have appropriate insurance coverage, and must be functionally independent. Previous or ongoing comorbidities that cannot be optimised for safe outpatient care may include: congestive heart failure, or valve disease; chronic obstructive pulmonary disease, or home use of supplemental oxygen; untreated obstructive sleep apnea with a BMI >40 kg/m2; hemodialysis or severely elevated serum creatinine; anemia with hemoglobin <13.0 g/dl; cerebrovascular accident or history of delirium or dementia; and solid organ transplant. Pre-arthroplasty rehabilitation prepares the patient for peri-operative protocols. Patients meet with a physical therapist and are provided with extensive educational materials before surgery to learn the exercises they will need for functional recovery. Enhancement of our peri-operative pain management protocols has resulted in accelerated rehabilitation. The operative intervention must be smooth and efficient, but not hurried. Less invasive approaches and techniques have been shown to decrease pain, reduce length of stay, and improve outcomes, especially in the short term. Between June 2013 and December 2015, 1957 primary knee arthroplasty procedures (1010 total, 947 partial) were performed by the author and his 3 associates at an outpatient surgery center. Seven percent of patients required an overnight stay, with a majority for reasons of convenience related to travel distance or later operative time. Importantly, no one has required overnight stay for pain management. Outpatient arthroplasty is safe, it's better for us and our patients, and it is here now. In an outpatient environment the surgeon actually spends more time with the patients and family in a friendly environment. Patients feel safe and well cared for, and are highly satisfied with their arthroplasty experience

To progress to a same day surgery program for arthroplasty, it is important that we examine and resolve the issues of why patients stay in the hospital. The number one reason is fear and anxiety for the unknown and for surgical pain. The need for hospital stay is also related to risk arising from comorbidities and medical complications. Patients also need an extended stay to manage the side effects of our treatment, including after-effects of narcotics and anesthesia, blood loss, and surgical trauma. The process begins pre-operatively with an appropriate orthopaedic assessment of the patient and determination of the need for surgery. The orthopaedic team must motivate the patient, and ensure that the expectations of the patient, family and surgeon are aligned. In conjunction with our affiliated hospitalist group that performs almost all pre-admission testing, we have established guidelines for patient selection for outpatient arthroplasty. The outpatient surgical candidate must have failed conservative measures, must have appropriate insurance coverage, and must be functionally independent. Previous or ongoing comorbidities that contraindicate the outpatient setting include: cardiac – prior revascularization, congestive heart failure, or valve disease; pulmonary – chronic obstructive pulmonary disease, or home use of supplemental oxygen; untreated obstructive sleep apnea – BMI >40 kg/m2; renal disease – hemodialysis or severely elevated serum creatinine; gastrointestinal – history or post-operative ileus or chronic hepatic disease; genitourinary – history of urinary retention or severe benign prostatic hyperplasia; hematologic – chronic Coumadin use, coagulopathy, anemia with hemoglobin <13.0 g/dl, or thrombophilia; neurological – history of cerebrovascular accident or history of delirium or dementia; solid organ transplant. Pre-arthroplasty rehabilitation prepares the patient for peri-operative protocols. Patients meet with a physical therapist and are provided with extensive educational materials before surgery to learn the exercises they will need for functional recovery. Enhancement of our peri-operative pain management protocols has resulted in accelerated rehabilitation. The operative intervention must be smooth and efficient, but not hurried. Less invasive approaches and techniques have been shown to decrease pain, reduce length of stay, and improve outcomes, especially in the short term. In 2014, 385 primary partial knee arthroplasty procedures (7 patellofemoral replacement, 13 lateral, and 365 medial) were performed by the author and his 3 associates at an outpatient surgery center. Of those, 348 (95%) went home the same day while 17 (5%) required an overnight stay, with 11 for convenience related to travel distance or later operative time and 6 for medical issues. Outpatient arthroplasty is safe, it's better for us and our patients, and it is here now. In an outpatient environment the surgeon actually spends more time with the patients and family in a friendly environment. Patients feel safe and well cared for, and are highly satisfied with their arthroplasty experience

Aims

This study aimed to investigate the risk of postoperative complications in COVID-19-positive patients undergoing common orthopaedic procedures.

Aims

Disorders of bone integrity carry a high global disease burden, frequently requiring intervention, but there is a paucity of methods capable of noninvasive real-time assessment. Here we show that miniaturized handheld near-infrared spectroscopy (NIRS) scans, operated via a smartphone, can assess structural human bone properties in under three seconds.

Aims

Deprivation underpins many societal and health inequalities. COVID-19 has exacerbated these disparities, with access to planned care falling greatest in the most deprived areas of the UK during 2020. This study aimed to identify the impact of deprivation on patients on growing waiting lists for planned care.

Aims

The timing of when to remove a circular frame is crucial; early removal results in refracture or deformity, while late removal increases the patient morbidity and delay in return to work. This study was designed to assess the effectiveness of a staged reloading protocol. We report the incidence of mechanical failure following both single-stage and two stage reloading protocols and analyze the associated risk factors.

Aims

The aim of this study was to analyze the prevalence of culture-negative periprosthetic joint infections (PJIs) when adequate methods of culture are used, and to evaluate the outcome in patients who were treated with antibiotics for a culture-negative PJI compared with those in whom antibiotics were withheld.

Aims

The aim of this study was to determine the impact of the severity of anaemia on postoperative complications following total hip arthroplasty (THA) and total knee arthroplasty (TKA).

Aims

Elective surgery has been severely curtailed as a result of the COVID-19 pandemic. There is little evidence to guide surgeons in assessing what processes should be put in place to restart elective surgery safely in a time of endemic COVID-19 in the community.