Aims. Weightbearing instructions after musculoskeletal injury or orthopaedic surgery are a key aspect of the rehabilitation pathway and prescription. The terminology used to describe the weightbearing status of the patient is variable; many different terms are used, and there is recognition and evidence that the lack of standardized terminology contributes to confusion in practice. Methods. A consensus exercise was conducted involving all the major stakeholders in the patient journey for those with musculoskeletal injury. The consensus exercise primary aim was to seek agreement on a standardized set of terminology for weightbearing instructions. Results. A pre-meeting questionnaire was conducted. The one-day consensus meeting, including patient representatives, identified three agreed terms only to be used in defining the weightbearing status of the patient: 1) non-weightbearing; 2) limited weightbearing; and 3) unrestricted weightbearing. Conclusion. This study represents the first and only exercise in standardizing rehabilitation terminology in orthopaedics, as agreed by all major stakeholders in the patient pathway and the patients themselves. The standardization of language allows for higher-quality and more accurate research to be conducted, and is one small part of the bigger picture in increasing the mobility of patients after orthopaedic injury or surgery. Cite this article: Bone Joint J 2024;106-B(9):1016–1020

Classification systems for the reporting of surgical complications have been developed and adapted for many surgical subspecialties. The purpose of this systematic review was to examine the variability and frequency of reporting terms used to describe complications in ankle fracture fixation. We hypothesized that the terminology used would be highly variable and inconsistent, corroborating previous results that have suggested a need for standardized reporting terminology in orthopaedics. Ankle fracture outcome studies meeting predetermined inclusion and exclusion criteria were selected for analysis by two independent observers. Terms used to define adverse events were identified and recorded. If a difference occurred between the two observers, a third observer was enlisted. Results of both observers were compared. All terms were then compiled and assessed for variability and frequency of use throughout the studies involved. Reporting terminology was subsequently grouped into 10 categories. In the 48 studies analyzed, 301 unique terms were utilized to describe adverse events. Of these terms, 74.4% (224/301) were found in a single study each. Only one term, “infection”, was present in 50% of studies, and only 19 of 301 terms (6.3%) were used in at least 10% of papers. The category that was most frequently reported was infection, with 89.6% of studies reporting on this type of adverse event using 25 distinct terms. Other categories were “wound healing complications” (72.9% of papers, 38 terms), “bone/joint complications” (66.7% of papers, 35 terms), “hardware/implant complications” (56.3% of papers, 47 terms), “revision” (56.3% of papers, 35 terms), “cartilage/soft tissue injuries” (45.8% of papers, 31 terms), “reduction/alignment issues” (45.8% of papers, 29 terms),“medical complications” (43.8% of papers, 32 terms), “pain” (29.2% of papers, 16 terms) and “other complications” (20.8% of papers, 13 terms). There was a 78.6% interobserver agreement in the identification of adverse terms across the 48 studies included. The reporting terminology utilized to describe adverse events in ankle fracture fixation was found to be highly variable and inconsistent. This variability prevents accurate reporting of adverse events and makes the analysis of potential outcomes difficult. The development of standardized reporting terminology in orthopaedics would be instrumental in addressing these challenges and allow for more accurate and consistent outcomes reporting

Thumb carpometacarpal (CMC) arthritis is a common and disabling condition that can be treated with an operative procedure. Before operative measures, patients typically undergo conservative treatment utilizing methods such as physical therapy and injections. This study aims to determine what clinical modalities are being used for preoperative evaluation and nonoperative therapy and the associated cost prior to operative intervention. We queried Truven Market Scan, a large insurance provider database to identify patients undergoing CMC arthroplasty from 2010 to 2017. Patients were identified by common Current Procedural Terminology (CPT) codes for CMC arthroplasty. All associated CPT codes listed for each patient during the 1 year period prior to operative intervention were collected and filtered to only include those codes associated with the ICD-9/10 diagnosis codes relating to CMC arthritis. The codes were then categorized as office visits, x-ray, injections, physical therapy, medical devices, and preoperative labs. The frequency and associated cost for each category was determined. There were 44,676 patients who underwent CMC arthroplasty during the study period. A total of $26,319,848.36 was charged during the preoperative period, for an average of $589.13 per patient. The highest contributing category to overall cost was office visits (42.1%), followed by injections (13.5%), and then physical therapy (11.1%). The most common diagnostic modality was x-ray, which was performed in 74.7% of patients and made up 11.0% of total charges. Only 49% of patients received at least one injection during the preoperative period and the average number of injections per patient was 1.72. Patients who were employed full time were more likely to receive two or more injections prior to surgery compared to patients who had retired (47% of full-time workers; 34% of retirees). The modalities used for the preoperative evaluation and conservative treatment of CMC arthritis and the associated cost are important to understand in order to determine the most successful and cost-effective treatment plan for patients. Surprisingly, despite the established evidence supporting clinical benefits, many patients do not undergo corticosteroid injections. With office visits being the largest contributor to overall costs, further inquiry into the necessity of multiple visits and efforts to combine visits, can help to reduce cost. Also, with the advent of telemedicine it may be possible to reduce visit cost by utilizing virtual medicine. Determining the best use of telemedicine and its effectiveness are areas for future investigation

Aim. The use of piperacillin/tazobactam with vancomycin as empirical antimicrobial therapy (EAT) for prosthetic joint infection (PJI) has been associated with an increased risk of acute kidney injury (AKI), leading to propose cefepim as an alternative since 2017 in our reference center. The present study compared microbiological efficacy and tolerance of these two EAT strategies. Method. All patients with PJI empirically treated by vancomycin-cefepim (n=90) were prospectively enrolled in an observational study, and compared with vancomycin-piperacillin/tazobactam-treated historical controls (n=117), regarding: i) the proportion efficacious empirical regimen (i.e., at least one of the two molecules active against the identified organism(s) based on in vitro susceptibility testing); and ii) the incidence of empirical therapy-related adverse events (AE), classified according to the Common terminology criteria for AE (CTCAE). Results. Among the 146 (67.3%) documented infections, the EAT was considered as efficacious in 99 (99.0%) and 66 (98.5%) in the piperacillin-tazobactam and cefepim-treated patients, respectively (p=0.109). The rate of adverse events, and in particular AKI, was significantly higher in the vancomycin-piperacillin/tazobactam (n=38 [32.5%] and 32 [27.6%]) compared to the vancomycin-cefepim (n=13 [14.4%] and 5 [5.7%]) group (p=0.003 and <0.001, respectively). Of note, sex, age, and the proportion of patients receiving other nephrotoxics were similar among piperacillin/tazobactam- and cefepim-treated patients. However, in comparison with patients receiving cefepim, a higher modified Charlson's comorbitidy index (4 [IQR, 3–5] versus 2 [IQR, 2–4], p<0.001) has to be acknowledged, mainly related to a higher prevalence of baseline chronic renal injury (n=62, 53.4% versus n=34, 38.6%; p=0.035). Conclusions. The empirical use of vancomycin-cefepim in PJI was as efficient as vancomycin-piperacillin/tazobactam, and was associated with a significantly lower incidence of AKI

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

Malnutrition is an important consideration during the perioperative period and albumin is the most common laboratory surrogate for nutritional status. The purpose of this study is to identify if preoperative serum albumin measurements are predictive of infection following arthroscopic procedures. Patients undergoing knee, shoulder or hip arthroscopy between 2006–2016 were identified in the American College of Surgeons National Surgical Quality Improvement Program database. Patients with an arthroscopic current procedural terminology code and a preoperative serum albumin measurement were included. Patients with a history of prior infection, including a non-clean wound class, pre-existing wound infection or systemic sepsis were excluded. Independent t-tests where used to compare albumin values in patients with and without the occurrence of a postoperative infection. Pre-operative albumin levels were subsequently evaluated as predictors of infection with logistic regression models. There were 31,906 patients who met the inclusion criteria. The average age was 55.7 years (standard deviation (SD) 14.62) and average BMI was 31.7 (SD 7.21). The most prevalent comorbidities were hypertension (49.2%), diabetes (18.4%) and smoking history (16.9%). The average preoperative albumin was 4.18 (SD 0.42). There were 45 cases of superficial infection (0.14%), 10 cases of wound dehiscence (0.03%), 17 cases of deep infection (0.05%), 27 cases of septic arthritis or other organ space infection (0.08%) and 95 cases of any infection (0.30%). The preoperative albumin levels for patients who developed septic arthritis (mean difference (MD) 0.20, 95% CI, 0.038, 0.35, P = 0.015) or any infection (MD 0.14, 95% CI 0.05, 0.22, P = 0.002) were significantly lower than the normal population. Additionally, disseminated cancer, Hispanic race, inpatient status and smoking history were significant independent risk factors for infection, while female sex and increasing albumin were protective towards developing any infection. Rates of all infections were found to increase exponentially with decreasing albumin. The relative risk of infection with an albumin of 2 was 3.46 (95% CI, 2.74–4.38) when compared to a normal albumin of 4. For each albumin increase of 0.69, the odds of developing any infection decreases by a factor of 0.52. This study suggests that preoperative serum albumin is an independent predictor of septic arthritis and all infection following elective arthroscopic procedures. Although the effect of albumin on infection is modest, malnutrition may represent a modifiable risk factor with regard to preventing infection following arthroscopy

With modern day easy access to information, many health staff may be presumptuous of patients' level of understanding of medical terms and abbreviations. A recent audit of consent forms in Orthopaedic trauma in our department showed that doctors used abbreviations in 21% of consent forms; this was seen to increase to 48% during the re-audit. The findings motivated us to conduct this study to evaluate the level of patients' understanding of commonly used abbreviations/terminologies. This questionnaire-based study recruited patients from both our elective and Trauma Orthopaedic units. Patient age, gender, medical and educational backgrounds were all randomised. Patients' understanding of 24 abbreviations/terminologies, selected from consent forms, patients' discharge letters and verbal communication with patients, were quantitatively and qualitatively assessed. Patients' perspectives were also sought. All 182 patients who participated were proficient in English language. Most patients(80.2%) understood the term “physio,” however only 3.8% could correctly interpret “DHS”. 10% of patients understood “TKR,” 8.2% understood “THR” and 3.8% understood “NOF”. Interestingly, although 61.5% understood “DVT,” only 8.2% understood “PE” with most interpreting it as physical education/exercise. Only 8.2% related “MI” to any form of cardiac pathology. Almost all patients confirmed the use of unfamiliar abbreviations by health staff during communication. Our study revealed that patients were not conversant with many abbreviations used in Orthopaedics. There is a need for greater awareness amongst doctors and other health staff about the indiscriminate use of abbreviations. From patients' perspective, interpretation should be given when using abbreviations or avoid their use altogether

Introduction. Enhanced Recovery After Surgery (ERAS) is a multi-disciplinary approach for establishing procedure–specific, evidence-based perioperative protocols to optimize patient outcomes. ERAS evidence is predominantly for non-orthopaedic procedures. We review the impact of ERAS protocol implementation on total joint arthroplasty (TJA) outcomes at our institution. Methods. All primary total hip and knee arthroplasties performed one year before and after ERAS implementation were identified by current procedural terminology code. Length of stay (LOS), disposition, readmission and opioid usage were analyzed before and after ERAS implementation and statistically analyzed with student t-test and chi-square test. Results. 2105 total patients were identified (967 THA, 494 pre-ERAS and 473 post-ERAS;1138 TKA, 575 pre-ERAS and 563 post-ERAS). TKA. After ERAS implementation, opioid consumption decreased for hospital day one (45.5MME to 36.2MME; p=0.000) and overall hospitalization (101.9MME to 83.9MME; p =0.000). Average LOS decreased (73.28hrs to 66.44hrs; p=0.000), blood transfusion rate trended down (3.3% to 1.95%; p=0.155), and disposition to home over skilled nursing facility increased (57.8% to 71.6%; p=0.000). Unplanned return-to-hospital encounters were unchanged (13.22% to 12.79%; p=0.8504). 30-day and 90-day readmission rates decreased (7.30% to 3.02%; p=0.0020 and 8.5% to 4.8%; p=0.0185, respectively). THA. After ERAS implementation, opioid consumption decreased for hospital day one (49.5MME to 35.4MME; p=0.000) and overall hospitalization (79.5MME to 59.5MME; p=0.000). Average LOS decreased (57.84hrs to 51.87hrs; p=0.011), blood transfusion rate was unchanged (4.25% to 3.81%; p=0.725), and disposition to home over skilled nursing facility increased (80.4% to 82.5%; p= 0.022). Unplanned return-to-hospital encounters were unchanged (8.51% to 8.88%; p=0.8486). Readmission trended up during postoperative days 0–30 and trended down during postoperative days 31–90. (1.42% to 2.96%; p=0.1074) and (1.21% to 0.85%; p=0.5748), respectively. Conclusion. ERAS protocols reduce postoperative opioid consumption, decrease hospital LOS, and increase patient disposition to home without adversely affecting short-term readmission rates

Introduction. Forgotten knee is the terminology which is used to describe a post TKR patient who is completely unaware of his knee implant. Various factors like age, sex, BMI, pre operative pain, pre operative patella symptoms have been studied to see their cause effect relationship on the achievement of forgotten knee status by the patient. All the published data till to date shows no relationship between thetwo. Aim. To determine whether pre operative DM negatively influence the achievement of forgotten knee status post TKR. Materials and Methods. 100 patients were studied for the the forgotten knee status post TKR. All the patients were asked a direct question by the independent evaluator at one year post operatively “Whether they have forgotten the presence of knee implant in their body? 80 patients were female with a mean age of 67 years. 20 were male with a mean age of 71 years. Out of 80 females 32 had DM and out of 20 males 6 had DM. The implant used was Maxx Freedom knee (PS design). Results. 32 out of 48 non DM females (66.67%) achieved forgotten knee status whereas 17 out of 32 DM females (53%) achieved forgotten knee status. 11 out of 16(69%) non DM males achieved forgotten knee status whereas 4 out 6 DM males (66%) achieved a forgotten knee status. Conclusion. Diabetic females had a statistically significant less chances of achieving a forgotten knee as compared to non diabetic females. The chances of achieving forgotten knee is almost the same in diabetic and non diabetic males

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

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

Background. Substance abuse and dependence is thought to have a strongly negative impact on surgical outcomes. The purpose of this study was to determine the effects of drug misuse on total knee arthroplasty (TKA) revision incidence, revision causes, and time to revision by analyzing the Medicare database between 2005–2012. Methods. A retrospective review of the Medicare database within the PearlDiver Supercomputer (Warsaw, IN) for TKA and revisions was performed utilizing Current Procedural Terminology (CPT) and International Classification of Disease (ICD) ninth revision codes. Drug misuse was subdivided into cocaine, cannabis, opioids, sedative/hypnotic/anxiolytic, amphetamines, and alcohol. Time to revision, age, and gender were also investigated. Results. Our query returned 2159221 TKAs and 193024 (8.9%) revisions between 2005–2012. Drug misuse was prevalent in 173513 (8%). Cocaine had the highest revision incidence (13.9%). Cannabis had the fastest average (636.1 days) and median (457 days) time to revision. At 30 and 90 days, cannabis had the greatest rate of revision at 6% and 12% respectively. At 6 months and 1 year, amphetamine had the greatest revision risk at 25% and 40.5% respectively. Infection was the most common cause of revision among all substances. Conclusion. Cocaine misuse holds the highest risk for revision. However cannabis misuse is more likely to require revision sooner, particularly at the 30 and 90 day intervals. Infection was the most common cause of revision regardless of substance misused. Thus it is important to obtain a detailed social history on drug misuse and to be vigilant for postoperative infections in these patients

Background. Operative treatment of complex proximal humerus fractures remains controversial. The transition to value-based health care demands a better understanding of the costs associated with surgery. The purpose of this study was to examine the 90-day costs of three common surgical treatments for proximal humerus fractures and non-operative treatment and compare the costs associated with the initial-day and subsequent 89-days of care. Methods. A query of the Humana insurance claims database was performed through the PearlDiver Supercomputer (Warsaw, IN) from 2010 to 2014 using the diagnosis codes for proximal humerus fractures together with current procedural terminology codes (CPT) for hemiarthroplasties (HA), open reduction internal fixation (ORIF), reverse shoulder arthroplasty (RSA) and nonoperative treatment (NO). Reimbursement from the insurance claims database was used as a marker for costs. The same day, subsequent 89-day, and ninety day costs were analyzed trough the use of descriptive and comparative statistical analysis. Results. RSA was the most costly procedure for the same-day and 90-day costs (p<0.001) (Figure 1). Mean initial-day reimbursement costs were significantly different amongst treatment groups, with the highest costs seen with RSA ($16,151), followed by HA ($9,348), ORIF ($6,745) and lastly, NO ($1,932). Subsequent 89-day reimbursement costs were not significantly different for RSA, HA and ORIF (p=0.112) (Figure 1 and 2); however, NO treatment incurred significantly lower costs (p=0.008) (Figure 3). Conclusion. The 90-day costs for the surgical treatment of proximal humerus fractures are driven by the initial-day costs. RSA was associated with the highest cost, followed by HA and ORIF. NO management incurred the lowest costs

Aims

The principles of evidence-based medicine (EBM) are the foundation of modern medical practice. Surgeons are familiar with the commonly used statistical techniques to test hypotheses, summarize findings, and provide answers within a specified range of probability. Based on this knowledge, they are able to critically evaluate research before deciding whether or not to adopt the findings into practice. Recently, there has been an increased use of artificial intelligence (AI) to analyze information and derive findings in orthopaedic research. These techniques use a set of statistical tools that are increasingly complex and may be unfamiliar to the orthopaedic surgeon. It is unclear if this shift towards less familiar techniques is widely accepted in the orthopaedic community. This study aimed to provide an exploration of understanding and acceptance of AI use in research among orthopaedic surgeons.

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.

Aim. Current guidelines recommend the combination of vancomycin with either piperacillin-tazobactam (PT) or a third generation cephalosporin (3GC) as empirical antimicrobial therapy of PJI, immediately after surgery. However, clinical and biological safeties of such high dose-combinations are poorly known. Method. All patients managed in a reference center in France between 2011 and 2016 receiving an empirical antimicrobial therapy for PJI were included in a prospective cohort study. Antimicrobial-related AE upcoming during the empirical treatment phase were describe according to the Common Terminology Criteria for Adverse Events (CTCEA), and severe ones (grade ≥ 3) were reported to pharmacovigilance. AE determinants were assessed using univariate logistic regression. Results. Three hundred and thirty-one patients (166 males, 50.2%; median age, 70.1 (IQR, 59.4–79.1) years) with empirically-treated PJI were included. Vancomycin (n=228; 68.9%), teicoplanin (n=33; 10.0%), antistaphylococcal penicillin (n=29; 8.8%) and daptomycin (n=4; 1.2%) were the most commonly used anti-Gram positive antimicrobials. Most common combinations were vancomycin-PT (n=122;36.9%) and vancomycin-3GC (n=33; 10.0%). Forty-two (12.7%) patients experienced 49 AE in a median delay of 8 (IQR, 5–13) days. They included 25 acute kidney injuries (AKI; 7.6% of patients) including 16 (4.8%) without vancomycin overdose, 4 drug reactions with eosinophilia and systemic symptoms, isolated fevers, rashes or pruritus (1.2% each), 3 eosinophilia (0.9%), 2 hepatitis (0.6%), and one febrile neutropenia, injection site reaction or vomiting (0.3% each). Ten AE were considered as severe (3.0% of patients). Treatment has to be stopped in most cases (n=38; 95.0%). All AE had a favorable outcome. In univariate analysis, the use of vancomycin (OR 6.878; p=0.026) and/or PT (OR 3.667; p<10–3), and consequently the vancomycin-PT combination (OR 4.149; p<10–3) were found to be determinants of empirical antimicrobial therapy-related AE. Moreover, vancomycin-PT combination was found as an AKI risk-factor (OR 8.000; p<10–3). Conclusions. Empirical antimicrobial therapy of PJI is associated with a high rate of AE. These results reinforce recent data suggesting an increased risk of AKI when using vancomycin in combination with PT and encouraging the preferential use of 3GC or cefepim in this indication

Introduction. It is well established that diabetic patients undergoing total knee arthroplasty (TKA) are more susceptible to infection, problematic wound healing, and have overall higher complication rates. However there is a paucity in current literature investigating the effects of hypoglycemia on TKA. The purpose of this study was to determine the effect of hypoglycemia on TKA revision (rTKA) incidence analyzing a national private payer database for procedures performed between 2007 and 2015 Q1. Methods. A retrospective review of a national private payer database within the PearlDiver Supercomputer application (Warsaw, IN, USA) for patients undergoing TKA with blood glucose levels ranging from 20 to 219 mg/ml, in increments of 10 mg/ml, was conducted. Patients who underwent TKA were identified by Current Procedural Terminology (CPT)-27447 and International Classification of Disease (ICD) code 81.54. Glucose ranges were identified by filtering for lab identifier values unique to the PearlDiver database. Revision TKA and causes for revision, including mechanical loosening, failure/break, periprosthetic fracture, osteolysis, infection, pain, arthrofibrosis, instability, and trauma) were identified with CPT and ICD-9 Codes. Statistical analysis of this study was primarily descriptive. Results. Our query returned a total of 244,153 TKAs, of which 11,767 (4.8%) were revised. Most TKAs were performed with a glucose range of 70–99 mg/ml (26.3%), followed by 100–109 mg/ml (18.6%). Patients with TKAs performed with a glucose range of 20–29 mg/ml had the highest rate of revision (15.2%) (p<0.001) following the index procedure. Infection was the most common cause of revision among all studied glucose ranges (p<0.001). Conclusion. Infection remains one of the most common causes of rTKA irrespective of glucose level. Our results suggest that hypoglycemia may increase revision rates among TKA patients. Tight glycemic control prior to and during surgery may be warranted

Aims

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

Reoperations may be a better way of tracking adverse outcomes than complications. Repeat surgery causes cost to the system, and often indicate failure of the primary procedure resulting in the patient not achieving the expected improvement in pain and function. Understanding the cause of repeat surgery at the primary site may result in design improvements to implants or improvements to fusion techniques resulting in better outcomes in the future. The COFAS group have designed a reoperation classification system. The purpose of this study was to outline the inter and intra observer reliability of this classification scheme. To verify the inter- and intra-observer reliability of this new coding system, six fellow ship trained practicing foot and ankle Orthopaedic surgeons were asked to classify 62 repeat surgeries from a single surgeons practice. The six surgeons read the operation reports in random order, and reread the reports 2 weeks later in a different order. Reliability was determined using intraclass correlation coefficients (ICC) and proportions of agreement. The agreement between pairs of readings (915 for inter observer for the first and second read – 61 readings with 15 comparisons, observer 1 with observer 2, observer 1 with observer 3, etc) was determined by seeing how often each observer agreed. This was repeated for the 366 ratings for intra observer readings (61 times 6). The inter-observer reliability on the first read had a mean intra-class correlation coefficient (ICC) of 0.89. The range for the 15 comparisons was 0.81 to 1.0. Amongst all 1830 paired codings between two observers, 1605 (88%) were in agreement. Across the 61 cases, 45 (74%) were given the same code by all six observers. However, the difference when present was larger with more observers not agreeing. The inter-observer reliability test on the second read had a mean ICC of 0.94, with a range of 0.90. There were 43 (72%) observations that were the same across all six observers. Of all pairs (915 in total) there was agreement in 804 pairs for the first reading (88%) and disagreement in 111 (12%). For the second reading there was agreement in 801 pairs (86%) and disagreement in 114 (14%). The intra-observer reliability averaged an ICC value of 0.92, with a range of 0.86 to 0.98. The observers agreed with their own previous observations 324 times out of 366 paired readings (89% agreement of pairs). The COFAS classification of reoperations for end stage ankle arthritis was reliable. This scheme potentially could be applied to other areas of Orthopaedic surgery and should replace the Claiden Dindo modifications that do not accurately reflect Orthopaedic outcomes. As complications are hard to define and lack consistent terminology reoperations and resource utilisation (extra clinic visits, extra days in hospital and extra hours of surgery) may be more reliable measures of the negative effects of surgery

Reoperations may be a better way of tracking adverse outcomes than complications. Repeat surgery causes cost to the system, and often indicate failure of the primary procedure resulting in the patient not achieving the expected improvement in pain and function. Understanding the cause of repeat surgery at the primary site may result in design improvements to implants or improvements to fusion techniques resulting in better outcomes in the future. The COFAS group have designed a reoperation classification system. The purpose of this study was to outline the inter and intra observer reliability of this classification scheme. To verify the inter- and intra-observer reliability of this new coding system, six fellow ship trained practicing foot and ankle Orthopaedic surgeons were asked to classify 62 repeat surgeries from a single surgeons practice. The six surgeons read the operation reports in random order, and reread the reports 2 weeks later in a different order. Reliability was determined using intraclass correlation coefficients (ICC) and proportions of agreement. The agreement between pairs of readings (915 for inter observer for the first and second read – 61 readings with 15 comparisons, observer 1 with observer 2, observer 1 with observer 3, etc) was determined by seeing how often each observer agreed. This was repeated for the 366 ratings for intra observer readings (61 times 6). The inter-observer reliability on the first read had a mean intra-class correlation coefficient (ICC) of 0.89. The range for the 15 comparisons was 0.81 to 1.0. Amongst all 1830 paired codings between two observers, 1605 (88%) were in agreement. Across the 61 cases, 45 (74%) were given the same code by all six observers. However, the difference when present was larger with more observers not agreeing. The inter-observer reliability test on the second read had a mean ICC of 0.94, with a range of 0.90. There were 43 (72%) observations that were the same across all six observers. Of all pairs (915 in total) there was agreement in 804 pairs for the first reading (88%) and disagreement in 111 (12%). For the second reading there was agreement in 801 pairs (86%) and disagreement in 114 (14%). The intra-observer reliability averaged an ICC value of 0.92, with a range of 0.86 to 0.98. The observers agreed with their own previous observations 324 times out of 366 paired readings (89% agreement of pairs). The COFAS classification of reoperations for end stage ankle arthritis was reliable. This scheme potentially could be applied to other areas of Orthopaedic surgery and should replace the Claiden Dindo modifications that do not accurately reflect Orthopaedic outcomes. As complications are hard to define and lack consistent terminology reoperations and resource utilisation (extra clinic visits, extra days in hospital and extra hours of surgery) may be more reliable measures of the negative effects of surgery