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Introduction Previous research has shown that patients from historically marginalized groups in the United States tend to have poorer outcomes after joint replacement surgery and that they are less likely to receive joint replacement surgery at high-volume hospitals. However, little is known regarding how this group of patients chooses their joint replacement surgeon. The purpose of this study was to understand the factors influencing the choice of joint replacement surgeon amongst a diverse group of patients. Methods Semi-structured interviews were conducted with Medicare patients who underwent a hip or knee replacement within the last 24 months (N = 38) at an academic and community hospital. Interviews were audio recorded, transcribed and verified for accuracy. Transcripts were reviewed using iterative content analysis to extract key themes related to how respondents chose their joint replacement surgeon. Results and discussion MD referral/recommendation appears to be the strongest factor influencing joint replacement surgeon choice. Other key considerations are hospital reputation and surgeon attributes—including operative experience, communication skills, and participation in shared decision-making. Gender/ethnicity of a surgeon, industry payments to surgeons, number of publications and cost did not play a large role in surgeon choice. Conclusion and clinical relevance The process of choosing a joint replacement surgeon is a complex decision-making process with several factors at play. Despite growing availability of information regarding surgeons, patients largely relied on referrals for choosing their joint replacement surgeon regardless of ethnicity. Referring physicians need to ensure that patients are able to access hospital and surgeon outcomes, operative volume, and industry-payment information to learn more about their orthopedic surgeons in order to make an informed choice.

Posterior cervical fusion is associated with increased rates of complications and readmission when compared to anterior fusion. Machine learning (ML) models for risk stratification of patients undergoing posterior cervical fusion remain limited. We aim to develop a novel ensemble ML algorithm for prediction of major perioperative complications and readmission after posterior cervical fusion and identify factors important to model performance. This is a retrospective cohort study of adults who underwent posterior cervical fusion at non-federal California hospitals between 2015 and 2017. The primary outcome was readmission or major complication. We developed an ensemble model predicting complication risk using an automated ML framework. We compared performance with standard ML models and logistic regression (LR), ranking contribution of included variables to model performance. Of the included 6822 patients, 18.8% suffered a major complication or readmission. The ensemble model demonstrated slightly superior predictive performance compared to LR and standard ML models. The most important features to performance include sex, malignancy, pneumonia, stroke, and teaching hospital status. Seven of the ten most important features for the ensemble model were markedly less important for LR. We report an ensemble ML model for prediction of major complications and readmission after posterior cervical fusion with a modest risk prediction advantage compared to LR and benchmark ML models. Notably, the features most important to the ensemble are markedly different from those for LR, suggesting that advanced ML methods may identify novel prognostic factors for adverse outcomes after posterior cervical fusion.

Background Given the significant cost and morbidity of patients undergoing lumbar fusion, accurate preoperative risk-stratification would be of great utility. We aim to develop a machine learning model for prediction of major complications and readmission after lumbar fusion. We also aim to identify the factors most important to performance of each tested model. Methods We identified 38,788 adult patients who underwent lumbar fusion at any California hospital between 2015 and 2017. The primary outcome was major perioperative complication or readmission within 30 days. We build logistic regression and advanced machine learning models: XGBoost, AdaBoost, Gradient Boosting, and Random Forest. Discrimination and calibration were assessed using area under the receiver operating characteristic curve and Brier score, respectively. Results There were 4470 major complications (11.5%). The XGBoost algorithm demonstrates the highest discrimination of the machine learning models, outperforming regression. The variables most important to XGBoost performance include angina pectoris, metastatic cancer, teaching hospital status, history of concussion, comorbidity burden, and workers’ compensation insurance. Teaching hospital status and concussion history were not found to be important for regression. Conclusions We report a machine learning algorithm for prediction of major complications and readmission after lumbar fusion that outperforms logistic regression. Notably, the predictors most important for XGBoost differed from those for regression. The superior performance of XGBoost may be due to the ability of advanced machine learning methods to capture relationships between variables that regression is unable to detect. This tool may identify and address potentially modifiable risk factors, helping risk-stratify patients and decrease complication rates.

Background There remains a lack of accurate and validated outcome-prediction models in total knee arthroplasty (TKA). While machine learning (ML) is a powerful predictive tool, determining the proper algorithm to apply across diverse data sets is challenging. AutoPrognosis (AP) is a novel method that uses automated ML framework to incorporate the best performing stages of prognostic modeling into a single well-calibrated algorithm. We aimed to compare various ML methods to AP in predictive performance of complications after TKA. Methods Thirty-eight preoperative patient demographics and clinical features from all primary TKAs performed at California-licensed hospitals between 2015 and 2017 were evaluated as predictors of major complications after TKA. Traditional logistic regression (LR), various other ML methods (XGBoost, Gradient Boosting, AdaBoost, and Random Forest), and AP were used for model building to determine discriminative power (area under receiver operating curve), calibration (Brier score), and feature importance. Results Between 2015 and 2017, there were a total of 156,750 TKAs with 1109 (0.7%) total major complications. AP had the highest discriminative performance with area under receiver operating curve 0.679 compared with LR, XGBoost, Gradient Boosting, AdaBoost, and Random Forest (0.617, 0.601, 0.662, 0.657, and 0.545, respectively). AP (Brier score 0.007) had similar calibration as the other ML methods (0.006, 0.006, 0.022, 0.007, and 0.008, respectively). The variables that are most important for AP differ from those that are most important for LR. Conclusion Compared to conventional ML algorithms, AP has superior discriminative ability with similar calibration and suggests nonlinear relationships between variables in outcomes of TKA.

C5 palsy is a common postoperative complication after cervical fusion and is associated with increased health care costs and diminished quality of life. Accurate prediction of C5 palsy may allow for appropriate preoperative counseling and risk stratification. We primarily aim to develop an algorithm for the prediction of C5 palsy after instrumented cervical fusion and identify novel features for risk prediction. Additionally, we aim to build a risk calculator to provide the risk of C5 palsy.We identified adult patients who underwent instrumented cervical fusion at a tertiary care medical center between 2013 and 2020. The primary outcome was postoperative C5 palsy. We developed ensemble machine learning, standard machine learning, and logistic regression models predicting the risk of C5 palsy-assessing discrimination and calibration. Additionally, a web-based risk calculator was built with the best-performing model.A total of 1024 patients were included, with 52 cases of C5 palsy. The ensemble model was well-calibrated and demonstrated excellent discrimination with an area under the receiver-operating characteristic curve of 0.773. The following features were the most important for ensemble model performance: diabetes mellitus, bipolar disorder, C5 or C4 level, surgical approach, preoperative non-motor neurologic symptoms, degenerative disease, number of fused levels, and age.We report a risk calculator that generates patient-specific C5 palsy risk after instrumented cervical fusion. Individualized risk prediction for patients may facilitate improved preoperative patient counseling and risk stratification as well as potential intraoperative mitigating measures. This tool may also aid in addressing potentially modifiable risk factors such as diabetes and obesity.

INTRODUCTION: Active learning methods have accumulated popularity due to improved results in knowledge acquisition as opposed to passive learning methods. For surgical resident physicians with limited training opportunities outside of the operating room due to time constraints, virtual reality (VR) is a relatively inexpensive and time-efficient active training method for procurement of surgical skills. We conducted a simulated intramedullary nailing (IMN) of a tibia to demonstrate VR training programs as a more effective modality of learning orthopaedic surgical techniques compared to passive learning tools such as a standard guide (SG) through trained novice medical students performing a SawBones simulation of intramedullary nail fixation. MATERIALS AND METHODS: First and second-year medical students without prior experience of procedure were recruited and randomized to SG or VR training. Participants were observed performing simulated tibia IMN procedure immediately after training and evaluated by a blinded attending surgeon using procedure-specific checklist and 5-point global assessment scale. Participants returned after 2-weeks for repeat training and evaluation. RESULTS: 20 participants were recruited and randomized into VR (n=10) and SG (n=10) groups. All 20 participants completed the first phase and 17 completed the second phase of the study. Aggregate global assessment scores were significantly higher for VR than SG group (17.5 vs. 7.5, p

The Physician-Payments-Sunshine-Act (PPSA) was introduced in 2010 to provide transparency regarding physician-industry payments by making these payments publicly available. Given potential ethical implications, it is important to understand how these payments are being distributed, particularly as the women orthopaedic workforce increases. The purpose of this study was thus to determine the role of gender and academic affiliation in relation to industry payments within the orthopaedic subspecialties.The PPSA website was used to abstract industry payments to Orthopaedic surgeons. The internet was then queried to identify each surgeon's professional listing and gender. Mann-Whitney U, Chi-square tests, and multivariable regression were used to explore the relationships. Significance was set at a value of P 0.05.In total, 22,352 orthopaedic surgeons were included in the study. Payments were compared between 21,053 men and 1299 women, 2756 academic and 19,596 community surgeons, and across orthopaedic subspecialties. Women surgeons received smaller research and non-research payments than men (both, P 0.001). There was a larger percentage of women in academics than men (15.9% vs 12.1%, P 0.001). Subspecialties with a higher percentage of women (FootAnkle, Hand, and Pediatrics) were also the subspecialties with the lowest mean industry payments (all P 0.001). Academic surgeons on average, received larger research and non-research industry payments, than community surgeons (both, P 0.001). Multivariable linear regression demonstrated that male gender (P = 0.006, P = 0.029), adult reconstruction (both, P 0.001) and spine (P = 0.008, P 0.001) subspecialties, and academic rank (both, P 0.001) were independent predictors of larger industry research and non-research payments.A large proportion of the US orthopaedic surgeon workforce received industry payments in 2014. Academic surgeons received larger payments than community surgeons. Despite having a larger percentage of surgeons in academia, women surgeons received lower payments than their male counterparts. Women also had a larger representation in the subspecialties with the lowest payments.

Background Total ankle arthroplasty (TAA) offers an effective option for end-stage osteoarthritis. The incidence and preoperative risk factors for early adverse events (AEs) following primary and revision TAA may be useful information for providers. Methods A large database was queried from 2010 to 2016 to identify 905 patients of whom 818 underwent primary TAA (90.4%) and 87 underwent revision TAA (9.6%). Data on patient demographics, comorbidities, and hospital length of stay were analyzed as risk factors for reported 30-day AEs. Results The overall AE rate was 5.5% (50/905) for the entire cohort. AEs occurred more frequently for revision TAA (9/87) than primary TAA (41/818) cases (OR 2.43, p = 0.022). Age (OR 1.03, p = 0.045), BMI (OR 1.04, p = 0.046), and revision TAA (OR 2.56, p = 0.002) were independent risk factors for 30-day AEs in multivariate analysis. Conclusions Older age, higher BMI, and revision cases are associated with a higher risk of AEs.

INTRODUCTION While the number of total hip arthroplasties (THAs) performed increases, so is the number of postoperative readmissions, resulting in costly episodes of care that may disproportionately affect certain hospitals. This study examines the rates of readmission of patients to the same hospital at which they underwent index THA, compared with readmission to a different hospital. METHODS Data for all hospital discharges from 1995 to 2010 were obtained from the California Office of Statewide Health Planning and Development database. Patient outcomes, readmission data, demographic information, hospital teaching status, and location were analyzed. Regression modeling was used to evaluate the effect of hospital teaching status, location, and individual complications on the risk of readmission to the same hospital as opposed to a different hospital following the index procedure. RESULTS The overall postoperative readmission rate for specific defined complications or all-cause 30-day readmissions was 3.92%, with 75.17% readmitted to the same hospital. Following index THA at a nonacademic or academic hospital, 95.9% and 84.6% of patients were readmitted to the same type of hospital, respectively. Patients who had their index procedure at an academic hospital had lower odds for readmission to the same hospital (odds ratio, 0.734; P < 0.0001) compared with nonacademic centers. Hospitals in midsize towns had higher odds of readmission to the same hospital (odds ratio, 1.735; P = 0.0012) compared with those in large metropolitan areas. DISCUSSION Although more than 75% of patients with unplanned readmissions went to the same hospital as their index THA, academic and larger metropolitan hospitals had higher odds of postoperative readmissions to a different hospital.

Background This study was performed to evaluate the intermediate-term clinical outcomes after proximal chevron osteotomy for hallux valgus in patients with generalized ligamentous laxity, and to determine the effect on postoperative recurrence of deformity. Methods There were 23 cases in laxity group (Beighton score ≥5 points) and 175 in non-laxity group with a mean followup of 46.3 months. Clinical evaluation consisted of the AOFAS score, Foot and Ankle Ability Measure (FAAM), and radiographic measurement of hallux alignment. Risk factors associated with postoperative recurrence were evaluated using univariate analysis. Results Recurrence rates were 21.7% in the laxity group and 17.1% in non-laxity group ( P =.218). There were no significant differences in clinical and radiographic measurements at final followup between the 2 groups. Preoperative HVA and IMA were found to be predictive factors of recurrence (OR=6.3, 4.2; P =.001, .018, respectively). Conclusion There were no statistical differences in the clinical and radiographic outcomes between hallux valgus with and without generalized ligamentous laxity. Generalized ligamentous laxity demonstrated no definitive effects on postoperative recurrence of hallux valgus deformity.

INTRODUCTION With healthcare expenditure in the national forefront, outpatient arthroplasty is an appealing option in select patient populations. The purpose of this study was to determine the complication rates associated with outpatient total hip arthroplasty (THA) in comparison to standard inpatient THA. METHODS We performed a retrospective review of the Humana subset of the PearlDiver insurance records database to identify patients undergoing THA (Current Procedural Terminology-27130 and Current Procedural Terminology-27132) as either outpatients or inpatients from 2007 to 2016. Multivariate logistic regression adjusting for age, gender, and Charlson Comorbidity Index were used to calculate odds ratios of complications among outpatients undergoing THA relative to inpatients undergoing THA. RESULTS The query identified 2,184 patients who underwent outpatient THA and 73,596 patients who underwent inpatient THA. The median age was in the 65 to 69 age group and in the 70 to 74 age group for the outpatient and inpatient cohorts, respectively (P < 0.001). Outpatients undergoing THA had a significantly lower incidence of comorbid hypertension (P < 0.001), cerebrovascular disease (P = 0.001), obesity (P = 0.017), chronic obstructive pulmonary disorder (P = 0.045), and chronic kidney disease (P = 0.049). The incidence of both outpatient THA (P = 0.001) and inpatient THA (P < 0.001) increased over the study period. After adjusting for age, gender, and Charlson Comorbidity Index, patients undergoing outpatient THA had comparable rates of all queried surgical complications, including component revision, irrigation and debridement, and hip dislocation at 1 year. Rates of postoperative medical complications were also comparable between the two cohorts. CONCLUSION Outpatient THA is increasing in frequency nationwide and has comparable postoperative complication rates. With its potential to minimize arthroplasty care costs, outpatient THA is a safe and effective option among appropriately selected patients.

BACKGROUND CONTEXT Anterior cervical spinal fusion procedures have grown in prevalence due to excellent outcomes, low risk of perioperative outcomes and reduced length of hospitalization. The average age and comorbidity burden of patients undergoing anterior cervical fusion has increased. Given the significant cost and morbidity associated with developing major perioperative complications and unplanned readmissions, accurate risk stratification of patients undergoing this procedure is of great utility. Advanced machine learning (ML) methods have become increasingly employed in spinal surgery due to their ability to recognize complex, non-linear relationships between variables. ML models for preoperative risk stratification of patients undergoing anterior cervical fusion remain limited. PURPOSE We aim to develop a novel ensemble ML algorithm for prediction of major perioperative complication and readmission after anterior cervical fusion. Our secondary aim is to compare its performance against benchmark ML models and logistic regression (LR). STUDY DESIGN/SETTING Retrospective, cohort study. PATIENT SAMPLE Patients 18 years or older at a non-federal California hospital who underwent anterior cervical spinal fusion. OUTCOME MEASURES Readmission within 30 days, major perioperative complications (venous thromboembolism within 30 days, myocardial infarction within 7 days, pneumonia within 7 days, systemic infection within 7 days, surgical site bleeding within 90 days, and wound complications within 90 days). METHODS This is a retrospective cohort study of adult patients who underwent anterior cervical fusion at any California hospital between 2015-2017. We developed a ML-based model predicting complication risk using AutoPrognosis, an automated ML framework that configures an optimally performing ensemble of ML-based prognostic models. We compared our model with LR and four standard ML models (XGBoost, Gradient Boosting, AdaBoost, Random Forest). Predictive performances were assessed using area under the receiver operating characteristic curve (AUROC). Calibration was assessed using Brier scores. We ranked the contribution of the included features to model performance. RESULTS Of the 23,184 patients who met inclusion criteria, there were 1,886 cases of major complication or readmission (8.13%). The ensemble AutoPrognosis model had superior risk prediction (AUROC 0.724 + 0.015) compared to LR (0.717 + 0.012). Furthermore, our model outperformed the four standard ML algorithms. The AutoPrognosis model was well-calibrated (Brier score 0.069 + 0.01). The variables that are most important for AutoPrognosis include patient sex, workers’ compensation insurance, age, malnutrition, and chronic obstructive pulmonary disease. Teaching hospital status, schizophrenia, and quadriplegia are also among the 10 most important features for AutoPrognosis model performance but not for LR. CONCLUSIONS We report the use of a novel ensemble ML algorithm for prediction of major perioperative complications after anterior cervical fusion. This algorithm is well-calibrated and demonstrates excellent risk prediction, superior to LR and four standard ML algorithms. By automating the choice of appropriate model as well as tuning of model hyperparameters, AutoPrognosis can be used by clinicians who may not possess an in-depth knowledge of ML methods – facilitating the use of advanced ML methods in mainstream clinical research. Notably, the predictors most important for AutoPrognosis are different from those for LR. This suggests that the superior discriminative capability of AutoPrognosis results from not just its ability to select among different ML models but also by capturing complex non-linear relationships between variables that LR is unable to capture. FDA DEVICE/DRUG STATUS This abstract does not discuss or include any applicable devices or drugs.

BACKGROUND CONTEXT Lumbar spinal fusion represents a large and growing fraction of the health care system, with a 15-fold increase in cases since 2002. The average age and number of medical comorbidities of patients undergoing lumbar fusion has similarly increased. Accurately risk-stratifying patients who undergo lumbar fusion would be of great utility, given the significant cost and morbidity associated with developing major perioperative complications. There is a paucity of accurate and validated prediction models that can be used to preoperatively risk-stratify patients for lumbar fusion. Advanced machine learning (ML) methods have grown in popularity across numerous medical disciplines due to their ability to recognize complex, non-linear relationships. PURPOSE We aim to develop an optimized ML algorithm for prediction of major perioperative complication after lumbar fusion. Our secondary aim is to compare its performance against logistic regression (LR). STUDY DESIGN/SETTING Retrospective, cohort study. PATIENT SAMPLE Patients 18 years or older at a non-federal California hospital who underwent lumbar spinal fusion. OUTCOME MEASURES Readmission within 30 days, major perioperative complications (readmission within 30 days, venous thromboembolism within 30 days, myocardial infarction within 7 days, pneumonia within 7 days, systemic infection within 7 days, surgical site bleeding within 90 days, and wound complications within 90 days). METHODS This is a retrospective cohort study of adult patients who underwent lumbar spinal fusion at any California hospital between 2015-2017. We build LR and ML models that span different classes of modeling approaches. Discrimination and calibration were assessed using area under the receiver operating characteristic curve (AUROC) and Brier score, respectively. We ranked the contribution of the included variables to model performance. RESULTS A total of 38,788 patients met inclusion criteria for this study. There were 4,470 major complications (11.5%). The XGBoost algorithm demonstrates the highest discrimination (AUROC: 0.687 + 0.01) compared to LR (0.675 + 0.01), outperforming the three other ML models. This model was well calibrated with a Brier score of 0.094 + 0.001. The variables most important to XGBoost performance include angina pectoris, metastatic cancer, teaching hospital status, history of concussion, number of comorbidities, and workers’ compensation insurance. Teaching hospital status and concussion history were not found to be among the most important features in the LR model. CONCLUSIONS Major perioperative complications and unplanned readmissions after lumbar fusion are a source of significant cost and morbidity. Wereport an optimized ML algorithm for prediction of major perioperative complications and 30-day readmission after lumbar spinal fusion. The predictors most important for XGBoost differ from those for LR, suggesting that the superior performance of XGBoost for prediction of major complications in this dataset is due to the ability of advanced ML methods to capture relationships between variables that LR is unable to detect. By providing accurate prognostic information, this algorithm may facilitate preoperative shared decision-making and aid with appropriate patient selection. A physician must be able to provide patients with comprehensive and accurate information regarding risks and benefits in order for the patient to provide true informed consent. This tool may identify and address potentially modifiable risk factors, helping to accurately risk-stratify patients and decrease likelihood of major complications. FDA DEVICE/DRUG STATUS This abstract does not discuss or include any applicable devices or drugs.

Background We sought to report on the differences in observed versus expected arthroplasty outcomes between academic and nonacademic hospitals in a large joint registry. We utilized the California Joint Replacement Registry’s data and risk adjustment model. Methods Observed versus expected hip and knee arthroplasty complications were utilized to assess hospital and surgeon risk-adjusted complication rates (RACRs). Based on a hospital and surgeon RACR, each was assigned a performance rating (“worse,” “expected,” “better”). Associations between academic status and performance ratings, rates of individual complications, prevalence of risk factors associated with increased complication rates, and differences in complication rates were calculated. Results A higher percentage of academic providers had “worse” than expected ratings, whereas a higher percentage of nonacademic providers had “expected” and “better” than expected ratings (P = .011) based on the observed versus expected complication rates. There was a higher incidence of patients with congestive heart failure and an elevated American Society of Anesthesiologists classification in academic institutions (P = .0001). The complication rate was higher in academic institutions for all total knee arthroplasties (P Conclusions We identified disparities in RACRs between nonacademic and academic institutions. This may reflect the difficulty of fully adjusting for medical risk and surgical complexity in a large arthroplasty database.

Chronic varus instability or recurrent subluxation following isolated interphalangeal dislocation of the hallux is a rare injury. No consensus has been reached regarding the best joint-salvage procedure for patients with the failed collateral ligament reconstruction using tendon graft. We report a case who achieved satisfactory clinical outcome through a modified surgical procedure (revision collateral ligament reconstruction augmented with suture-tape).

The purpose of this study was to evaluate the relationship between economic activity and the incidence of high-energy orthopedic trauma. California's Office of Statewide Health Planning and Development patient discharge database was queried to identify monthly orthopedic trauma incidence from 1995 to 2010. Patient inclusion required 1 diagnosis code and 1 associated procedural code for fractures of the femur, tibia, ankle, pelvis, or acetabulum. Data on composite market indices, energy and transportation use, and unemployment were obtained from government sources. Statistical analysis was performed using univariate and multivariate linear regression. The average monthly incidence of orthopedic trauma was 2.92 cases per 100,000 people. Of 15 economic indicators analyzed with univariate regression, 7 variables correlated with trauma incidence to statistical significance. Dow Jones Industrial Average ( P =.032), Standard & Poor's 500 ( P =.034), vehicle miles driven ( P P =.033), Coincident Economic Activity Index for California ( P =.007), and vehicles purchased ( P P P P =.008), and unemployment ( P =.005). This combination of variables was used to develop the Crush Index to model the relationship between economic activity and orthopedic trauma volume. The authors show a positive correlation between economic strength and activity and the monthly volume of high-energy orthopedic trauma. The Crush Index serves as a proof of concept that may be useful in guiding preparedness among practitioners and health care system administrators. [ Orthopedics. 2017; 40(4):248–255.]

Background: This retrospective comparative study reports the practical function in daily and sports activities after tibialis posterior tendon transfer for foot drop secondary to peroneal nerve palsy. Methods: Seventeen patients were followed for a minimum of 3 years after tibialis posterior tendon transfer for foot drop secondary to peroneal nerve palsy. Matched controls were used to evaluate the level of functional restoration. Functional evaluations included American Orthopaedic Foot & Ankle Society (AOFAS) scores, Foot and Ankle Outcome Score (FAOS), Foot and Ankle Ability Measure (FAAM) scores, and isokinetic muscle strength test. Radiographic evaluation for the changes of postoperative foot alignment included Meary angle, calcaneal pitch angle, hindfoot alignment angle, and navicular height. Results: Mean AOFAS, FAOS, and FAAM scores significantly improved from 65.1 to 86.2, 55.6 to 87.8, and 45.7 to 84.4 points at final follow-up, respectively. However, all functional evaluation scores were significantly lower as compared to the control group ( P < .001). Mean peak torque (60 degrees/sec) of ankle dorsiflexors, plantarflexors, invertors, and evertors at final follow-up were 7.1 (deficit ratio of 65.4%), 39.2, 9.8, and 7.3 Nm, respectively. These muscle strengths were significantly lower compared to the control group ( P < .001). No significant differences in radiographic measurements were found, and no patients presented with a postoperative flat foot deformity. One patient (5.9%) needed an ankle-foot orthosis for occupational activity. Conclusions: Anterior transfer of the tibialis posterior tendon appears to be an effective surgical option for paralytic foot drop secondary to peroneal nerve palsy. Although restoration of dorsiflexion strength postoperatively was about 33% of the normal ankle, function in daily activities and gait ability were satisfactorily improved. In addition, tibialis posterior tendon transfer demonstrated no definitive radiographic or clinical progression to postoperative flat foot deformity at intermediate-term follow-up. Level of Evidence: Level IV, retrospective case series.

Background: Hallux rigidus can be treated using several different methods and the best treatment option depends on the severity of degenerative changes of the metatarsophalangeal (MTP) joint. However, the ideal operative option for advanced hallux rigidus remains debatable. This prospective study was performed to evaluate the intermediate-term clinical outcomes of distal metatarsal osteotomy used as a joint-preserving method for the treatment of advanced hallux rigidus. Methods: Forty-two cases (39 patients) were followed for more than 3 years after distal metatarsal dorsiflexion osteotomy for advanced hallux rigidus of grade III-IV. Clinical evaluations included the American Orthopaedic Foot & Ankle Society (AOFAS) scores, Foot and Ankle Ability Measure (FAAM) scores, and patient subjective satisfaction scores. Range of motion (ROM) of great toe, complications, reoperation rates, width of the MTP joint space, and times to union were evaluated. Results: Mean AOFAS hallux and mean FAAM scores significantly improved from 56.4 and 61.2 points preoperatively to 87.6 and 88.7 points at final follow-up, respectively ( P < .001). Grade III and IV groups had significantly different AOFAS and FAAM scores at final follow-up. Mean dorsiflexion of great toe significantly improved from 14.8° preoperatively to 35.5° at final follow-up ( P < .001). Mean patient satisfaction score at final follow-up was 92.8 points. There were 4 cases (9.5%) of subsequent fusion and 2 cases (4.8%) of transfer metatarsalgia. Conclusions: Distal metatarsal dorsiflexion osteotomy using bio-compression screws appears to be an effective operative option for grade III advanced hallux rigidus with viable cartilage on >50% of the first metatarsal articular surface, as it restored joint motion, provided reliable pain relief, and did not require implant removal. However, based on the unsatisfactory clinical results and the high rate of reoperation observed, the authors cannot recommend this operative method for the treatment of end-stage (grade IV) hallux rigidus. Level of Evidence: Level IV, prospective case series.

Despite the overall effectiveness of total knee arthroplasty (TKA), a subset of patients do not experience expected improvements in pain, physical function, and quality of life as documented by patient-reported outcome measures (PROMs), which assess a patient’s physical and emotional health and pain. It is therefore important to develop preoperative tools capable of identifying patients unlikely to improve by a clinically important margin after surgery. The purpose of this study was to determine if an association exists between preoperative PROM scores and patients’ likelihood of experiencing a clinically meaningful change in function 1 year after TKA. A retrospective study design was used to evaluate preoperative and 1-year postoperative Knee injury and Osteoarthritis Outcome Score (KOOS) and SF-12 version 2 (SF12v2) scores from 562 patients who underwent primary unilateral TKA. This cohort represented 75% of the 750 patients who underwent surgery during that time period; a total of 188 others (25%) either did not complete PROM scores at the designated times or were lost to follow-up. Minimum clinically important differences (MCIDs) were calculated for each PROM using a distribution-based method and were used to define meaningful clinical improvement. MCID values for KOOS and SF12v2 physical component summary (PCS) scores were calculated to be 10 and 5, respectively. A receiver operating characteristic analysis was used to determine threshold values for preoperative KOOS and SF12v2 PCS scores and their respective predictive abilities. Threshold values defined the point after which the likelihood of clinically meaningful improvement began to diminish. Multivariate regression was used to control for the effect of preoperative mental and emotional health, patient attributes quantified by SF12v2 mental component summary (MCS) scores, on patients’ likelihood of experiencing meaningful improvement in function after surgery. Threshold values for preoperative KOOS and SF12v2 PCS scores were a maximum of 58 (area under the curve [AUC], 0.76; p < 0.001) and 34 (AUC, 0.65; p < 0.001), respectively. Patients scoring above these thresholds, indicating better preoperative function, were less likely to experience a clinically meaningful improvement in function after TKA. When accounting for mental and emotional health with a multivariate analysis, the predictive ability of both KOOS and SF12v2 PCS threshold values improved (AUCs increased to 0.80 and 0.71, respectively). Better preoperative mental and emotional health, as reflected by a higher MCS score, resulted in higher threshold values for KOOS and SF12v2 PCS. We identified preoperative PROM threshold values that are associated with clinically meaningful improvements in functional outcome after TKA. Patients with preoperative KOOS or SF12v2 PCS scores above the defined threshold values have a diminishing probability of experiencing clinically meaningful improvement after TKA. Patients with worse baseline mental and emotional health (as defined by SF12v2 MCS score) have a lower probability of experiencing clinically important levels of functional improvement after surgery. The results of this study are directly applicable to patient-centered informed decision-making tools and may be used to facilitate discussions with patients regarding the expected benefit after TKA. Level III, prognostic study.

Background: Although recent biomechanical studies have reported mechanical superiority of augmented anterior talofibular ligament reconstruction using suture-tape, clinical evidence regarding the efficacy of suture-tape augmentation is still insufficient. This prospective study was performed to evaluate the outcomes of the modified Broström procedure augmented with suture-tape for chronic ankle instability with generalized ligamentous laxity, which has been known to be a poor prognostic factor for anatomic ligament repair. Methods: Twenty-eight patients with generalized ligamentous laxity were followed for more than 2 years after the augmented modified Broström procedures for chronic ankle instability. Generalized ligamentous laxity was defined as a Beighton score ≥4 points. The clinical evaluation consisted of the Foot and Ankle Outcome Score (FAOS) and Foot and Ankle Ability Measure (FAAM) score. Measurement of talar tilt angle and anterior talar translation was obtained from stress radiographs to evaluate mechanical ankle stability. Results: FAOS and FAAM scores had significantly improved from preoperative average 63.2 and 54.3 points to 90.6 and 89.5 points at final follow-up, respectively ( P < .001). Talar tilt angle and anterior talar translation had significantly improved from preoperative average 16.2° and 12.1 mm to 3.6° and 4.2 mm at final follow-up, respectively ( P < .001). Preoperative side-to-side comparison with stress radiographs was significantly different, but this returned to within nonstatistical differences at final follow-up, respectively ( P = .105, .532). Although 6 patients sustained an ankle sprain after operation, only 1 patient (3.6%) showed a recurrence of subjective and mechanical instability. Conclusions: Suture-tape augmentation for the modified Broström procedure appears to be an effective operative alternative for chronic ankle instability with generalized ligamentous laxity. As one of the methods to improve the clinical outcomes in patients with relative contraindications of the modified Broström repair, this procedure provided reliable stability with the advantages of anatomic ligament repair through the augmentation using suture-tape. Level of Evidence: Level IV, prospective case series.

BACKGROUND: Despite innovations in THA, there remains a subgroup of patients who experience only modest pain relief and/or functional improvement after the procedure. Although several studies have previously sought to identify factors before surgery that were associated with achieving or not achieving a meaningful improvement after THA, there is no consensus on which factors are most associated; many studies have relied on single-center or single-country multicenter studies for their cohorts. QUESTIONS/PURPOSES: We sought to identify (1) the proportion of patients who do not achieve a minimum clinically important difference (MCID) in pain and function 1 year after THA, and (2) the preoperative factors that were associated with not achieving MCIDs in pain and function 1 year after THA. METHODS: This retrospective study analyzed data gathered from a prospective international, multicenter study examining the long-term clinical outcomes of two different polyethylene liners and two different acetabular shells. A total of 814 patients from 12 centers across four countries were enrolled in the study, with the final cohort consisting of 594 patients (73%) who all had complete preoperative and 1-year PROMs as well as a valid preoperative radiograph used to measure minimum joint space width. The outcomes in this study were achieving evidence-derived MCIDs in (1) pain, defined as a reduction of two points on an 11-point (0 = very little, 10 = worst imaginable) numerical rating scale (NRS) for hip-related pain or reporting a 1 year NRS-pain score of 0, and (2) function, defined as an increase equal to or greater than 8.3 on the SF-36 Physical Function subscore (range: 0 to 100; 0 = maximum disability, 100 = no disability) or reporting a 1-year SF-36 Physical Function subscore within the 95th percentile of scores in our cohort. All demographic variables, such as age, sex, country; surgical factors, including body mass index (BMI), surgical approach, acetabular liner type, and preoperative PROMs, were included as covariates in a binary logistic regression model. We used a backwards stepwise elimination algorithm to reach the simplest, best-fit model. RESULTS: In the final analysis cohort of 594 patients, 54 patients (9%) did not achieve the MCID in pain and 146 (25%) patients did not achieve the MCID in physical function after THA. After controlling for potential confounding variables such as age, BMI, and preoperative PROMs, we found that higher joint space width (odds ratio (OR) = 2.19; 95% confidence interval (CI) = 1.49–3.22; p < 0.001), lower preoperative SF-36 Mental Component Summary (MCS) (OR = 0.95; 95% CI = 0.93–0.98; p = 0.001), and female sex (OR = 2.04; 95% CI = 1.08–3.82; p = 0.027) were associated with failing to achieve a MCID in pain. It is important to note that the effect size of having a higher preoperative SF-36 MCS is small, with a 1- or 10-point increase in SF-36 MCS decreasing the odds of a patient not achieving the pain MCID by 5% or 63%, respectively. In a separate multivariable model, after controlling for potential confounding variables such as age, BMI, and preoperative PROMs, we found that higher joint space width (OR = 1.54; 95% CI = 1.18–2.02; p = 0.002), higher preoperative Harris hip score (HHS) (OR = 1.01; 95% CI = 1.00–1.03; p = 0.019) and undergoing surgery in Scandinavia (OR = 1.73; 95% CI = 1.17–2.55; p = 0.006) were associated with failing to achieve a MCID in physical function. It is important to note that the effect size of having a higher preoperative HHS is very small, with a 1- or t10-point increase in HHS increasing the odds of not achieving the physical function MCID by only 1% or 15%, respectively. CONCLUSIONS: These findings suggest that surgeons should counsel patients with high joint space width, female patients, and patients undergoing surgery in Scandinavia that they may be much less likely to experience meaningful pain relief or functional improvement after THA, and in light of that, determine whether indeed surgery should be postponed or avoided in those patients. Lower SF-36 MCS score and higher HHS before surgery were also found to be associated with not achieving MCIDs in pain and physical function, respectively, after surgery, but both had relatively small effect sizes. Future prospective studies may consider exploring the relationship between less pain relief or functional improvement and the risk factors identified in this study, such as high joint space width, to validate our findings and determine if the variables we identified are truly predictive of worse postoperative outcomes. Future retrospective studies of regional or national registry data should use the analysis methods presented within this study to both identify the portion of the THA patients who do not achieve a MCID in pain or physical function after surgery and confirm if the preoperative risk factors for poor improvement identified within our international, multicenter cohort are also found in a larger patient population with more diverse implants and comorbidities. LEVEL OF EVIDENCE: Level III, therapeutic study.

Background Shoulder instability is commonly treated by arthroscopic stabilization. However, open stabilization procedures remain important in management of complex instability. Despite continued use of these procedures, the relative frequency of related complications remains poorly described. This study investigates current trends in open shoulder stabilization and characterizes major postoperative complications. Methods PearlDiver, a national insurance database of orthopedic patients, was used to identify open shoulder stabilization procedures from 2007 to 2010. Current Procedural Terminology codes for 4 procedures—Bankart repair, coracoid transfer, and anterior and posterior glenoid bone grafting—were used to track procedural trends. The 1-year postoperative complications were identified and categorized into 5 groups: dislocation treated with closed reduction, closed manipulation under anesthesia, reoperation with arthroscopy, reoperation with open surgery, and others. χ 2 analysis determined statistical significance. Results There were 2678 open shoulder stabilization procedures performed, with a 1-year complication rate of 12.3%. Relative proportion of open Bankart repairs decreased (82.5% to 69.8%), whereas proportion of coracoid transfers increased (7.7% to 19%). Posterior glenoid bone grafting had the highest complication rate (20.7%). Rate of total complications was 9.8% in patients 10-24 years, 13.6% in patients 25-54 years, and 25.9% in patients >55 years. Conclusions Based on our patient database sample, a significant decline in the relative use of open Bankart repair was observed. Our analysis indicates that the use of bone transfer procedures was correlated with significantly higher reoperation rates than open Bankart repair, particularly in the older patient cohort. Further studies comparing open stabilization procedures with contemporary arthroscopic techniques are indicated.

Background As the prevalence of hip osteoarthritis increases, the number of total hip arthroplasty (THA) procedures performed is also projected to increase. Accurately risk-stratifying patients who undergo THA would be of great utility, given the significant cost and morbidity associated with developing perioperative complications. We aim to develop a novel machine learning (ML)-based ensemble algorithm for the prediction of major complications after THA, as well as compare its performance against standard benchmark ML methods. Methods This is a retrospective cohort study of 89,986 adults who underwent primary THA at any California-licensed hospital between 2015 and 2017. The primary outcome was major complications (eg infection, venous thromboembolism, cardiac complication, pulmonary complication). We developed a model predicting complication risk using AutoPrognosis, an automated ML framework that configures the optimally performing ensemble of ML-based prognostic models. We compared our model with logistic regression and standard benchmark ML models, assessing discrimination and calibration. Results There were 545 patients who had major complications (0.61%). Our novel algorithm was well-calibrated and improved risk prediction compared to logistic regression, as well as outperformed the other four standard benchmark ML algorithms. The variables most important for AutoPrognosis (eg malnutrition, dementia, cancer) differ from those that are most important for logistic regression (eg chronic atherosclerosis, renal failure, chronic obstructive pulmonary disease). Conclusion We report a novel ensemble ML algorithm for the prediction of major complications after THA. It demonstrates superior risk prediction compared to logistic regression and other standard ML benchmark algorithms. By providing accurate prognostic information, this algorithm may facilitate more informed preoperative shared decision-making.

BACKGROUND: The expansion of state Medicaid programs under the U.S. Affordable Care Act has led to a dramatic increase in the number of Americans with health insurance coverage. Prior analyses of a limited number of states have suggested that greater utilization of total hip arthroplasty (THA) and total knee arthroplasty (TKA) should be expected after Medicaid expansion. The purpose of our study was to examine whether increased utilization of THA and TKA occurred across a broader range of states after Medicaid expansion. METHODS: We analyzed administrative data from the Healthcare Cost and Utilization Project from 9 states (Arkansas, Arizona, Colorado, Iowa, Massachusetts, Maryland, Nevada, New York, and Vermont) that expanded Medicaid in 2014 and 2 states that did not expand Medicaid (Florida and Missouri). We included patients who were 18 to 64 years of age and had a primary THA or TKA from 2012 to 2015 with Medicaid as the primary payer. Other payers (including dual-eligible Medicaid and Medicare beneficiaries) were excluded. We performed multivariable regression modeling with the number of Medicaid-insured THAs or TKAs as the dependent variable and the interaction between the state Medicaid expansion status and year as the main policy independent variable, with adjustment for community characteristics. RESULTS: Among all 11 states, there were 39,452 total joint arthroplasties (42% THA and 58% TKA) funded by Medicaid from 2012 to 2015. After adjusting for community characteristics, within expansion states, compared with 2013, THA and TKA increased 15% in 2014 (p < 0.0001) and 23% in 2015 (p < 0.0001) within expansion states. Within non-expansion states, compared with 2013, there were significant utilization decreases of 18% in 2014 (p < 0.0001) and 11% in 2015 (p = 0.0002). CONCLUSIONS: Medicaid expansion was associated with significant increases in Medicaid-funded THA and TKA utilization in 9 states. As additional states consider expanding Medicaid programs and as alternative health reforms that increase insurance eligibility are debated, surgeons, administrators, and policymakers should prepare for a surge in the utilization of THA and TKA.

Background: Readmission rates following total hip arthroplasty (THA) and total knee arthroplasty (TKA) are increasingly used to measure hospital performance. Readmission rates that are not adjusted for race/ethnicity and socioeconomic status, patient risk factors beyond a hospital’s control, may not accurately reflect a hospital’s performance. In this study, we examined the extent to which risk-adjusting for race/ethnicity and socioeconomic status affected hospital performance in terms of readmission rates following THA and TKA. Methods: We calculated 2 sets of risk-adjusted readmission rates by (1) using the Centers for Medicare & Medicaid Services standard risk-adjustment algorithm that incorporates patient age, sex, comorbidities, and hospital effects and (2) adding race/ethnicity and socioeconomic status to the model. Using data from the Healthcare Cost and Utilization Project, 2011 State Inpatient Databases, we compared the relative performances of 1,194 hospitals across the 2 methods. Results: Addition of race/ethnicity and socioeconomic status to the risk-adjustment algorithm resulted in (1) little or no change in the risk-adjusted readmission rates at nearly all hospitals; (2) no change in the designation of the readmission rate as better, worse, or not different from the population mean at >99% of the hospitals; and (3) no change in the excess readmission ratio at >97% of the hospitals. Conclusions: Inclusion of race/ethnicity and socioeconomic status in the risk-adjustment algorithm led to a relative-performance change in readmission rates following THA and TKA at

This study describes and tests a risk adjustment model developed for the California Joint Replacement Registry to report predictors of complication rates.Complication rates were analyzed for 9960 patients enrolled in the California Joint Replacement Registry at 22 medical centers. Multivariable logistic risk models were created to analyze risks of postoperative complications.Age and American Society of Anesthesiologists class were the strongest predictors of complication rates (P.0001). Congestive heart failure and peripheral vascular disease were also statistically significant predictors of complications. Three hospitals were found to have statistically significantly worse than expected complication rates, and one was found to have a better than expected complication rate after case mix risk adjustment.Adequate risk adjustment is a key element in objective comparison of surgeons, hospitals, and devices using total joint arthroplasty registry data.

Total joint arthroplasty registries are increasingly collecting Patient Reported Outcome Measures (PROM) to more directly measure clinical success after surgery. Obtaining these valuable, complete pre- and post-operative surveys is challenging. We sought to identify specific patient or provider characteristics that are associated with low-reporting of PROM surveys in the California Joint Replacement Registry (CJRR). All reported total hip and knee arthroplasties (n=6861) during 2011-2014 were retrospectively reviewed. PROMs were prospectively collected to determine factors associated with non-participation. The critical factor in predicting ongoing participation post-operatively was the collection of PROM surveys pre-operatively. Specific patient demographics (race, discharge disposition, occurrence of a complication) and surgeon volume were predictive of non-response and are potential targets for increasing reporting rates.

Background The purpose of this study was to compare the latest patient demographics and rerupture rates of operative versus nonoperative treatment of acute Achilles tendon rupture in the United States. Methods Patients undergoing treatment of an acute Achilles tendon rupture from 2007 to 2011 were identified by cross-referencing ICD-9-CM and CPT codes through the PearlDiver Patient Record Database. Results In total, 12,570 patients were treated for an acute Achilles tendon rupture. The ratio of operative to nonoperative treatment increased from 1.41 to 1.65. Males were more likely to undergo surgery than females. There were no significant differences in short-term rerupture rate for operative (2.1%) versus nonoperative (2.4%) treatment. Conclusions The proportion of patients who received operative treatment for an acute Achilles tendon rupture increased slightly during the 5 year period, suggesting that surgeons in the United States have been slower to adopt nonoperative treatment than their European counterparts.

BACKGROUND: Achilles tendon rupture is a common injury and the best treatment option remains uncertain between surgical and nonoperative methods. Biologic approaches using multipotent stem cells such as perivascular stem cells pose a possible treatment option, although there is currently a paucity of evidence regarding their clinical therapeutic use. QUESTIONS/PURPOSES: The purpose of this study was to determine whether injected perivascular stem cells (PSCs) would (1) improve histologic signs of tendon healing (such as percent area of collagen); and (2) improve biomechanical properties (peak load or stiffness) in a rat model of Achilles tendon transection. METHODS: Two subtypes of PSCs were derived from human adipose tissue: pericytes (CD146(+)CD34(-)CD45(-)CD31(-)) and adventitial cells (CD146(-)CD34(+)CD45(-)CD31(-)). Thirty-two athymic rats underwent right Achilles transection and were randomized to receive injection with saline (eight tendons), hydrogel (four tendons), pericytes in hydrogel (four tendons), or adventitial cells in hydrogel (eight tendons) 3 days postoperatively with the left serving as an uninjured control. Additionally, a subset of pericytes was labeled with CM-diI to track cell viability and localization. At 3 weeks, the rats were euthanized, and investigators blinded to treatment group allocation evaluated tendon healing by peak load and stiffness using biomechanical testing and percent area of collagen using histologic analysis with picrosirius red staining. RESULTS: Histologic analysis showed a higher mean percent area collagen for pericytes (30%) and adventitial cells (28%) than hydrogel (21%) or saline (26%). However, a nonparametric statistical analysis yielded no statistical difference. Mechanical testing demonstrated that the pericyte group had a higher peak load than the saline group (41 ± 7 N versus 26 ± 9 N; mean difference 15 N; 95% confidence interval [CI], 4-27 N; p = 0.003) and a higher peak load than the hydrogel group (41 ± 7 N versus 25 ± 3 N; mean difference 16; 95% CI, 8-24 N; p = 0.001). The pericyte group demonstrated higher stiffness than the hydrogel group (36 ± 12 N/mm versus 17 ± 6 N/mm; mean difference 19 N/mm; 95% CI, 5-34 N/mm; p = 0.005). CONCLUSIONS: Our results suggest that injection of PSCs improves mechanical but not the histologic properties of early Achilles tendon healing. CLINICAL RELEVANCE: This is a preliminary study that provides more insight into the use of adipose-derived PSCs as a percutaneous therapy in the setting of Achilles tendon rupture. Further experiments to characterize the function of these cells may serve as a pathway to development of minimally invasive intervention aimed at improving nonoperative management while avoiding the complications associated with surgical treatment down the line.

Author(s): Buerba, Rafael A; Sheppard, William L; Herndon, Karen E; Gajewski, Nicholas; Patel, Ankur D; Leong, Natalie L; Bernthal, Nicholas M; SooHoo, Nelson F | Abstract: BACKGROUND:The Hirsch index (h-index) quantifies research publication productivity for an individual, and has widely been considered a valuable measure of academic influence. In 2010, the Physician Payments Sunshine Act (PPSA) was introduced as a way to increase transparency regarding U.S. physician-industry relationships. The purpose of this study was to investigate the relationship between industry payments and academic influence as measured by the h-index and number of publications among orthopaedic surgeons. We also examined the relationship of the h-index to National Institutes of Health (NIH) funding. METHODS:The h-indices of faculty members at academic orthopaedic surgery residency programs were obtained using the Scopus database. The PPSA web site was used to abstract their 2014 industry payments. NIH funding data were obtained from the NIH web site. Mann-Whitney U testing and Spearman correlations were used to explore the relationships. RESULTS:Of 3,501 surgeons, 78.3% received nonresearch payments, 9.2% received research payments, and 0.9% received NIH support. Nonresearch payments ranged from $6 to $4,538,501, whereas research payments ranged from $16 to $517,007. Surgeons receiving NIH or industry research funding had a significantly higher mean h-index and number of publications than those not receiving such funding. Surgeons receiving nonresearch industry payments had a slightly higher mean h-index and number of publications than those not receiving these kinds of payments. Both the h-index and the number of publications had weak positive correlations with industry nonresearch payment amount, industry research payment amount, and total number of industry payments. CONCLUSIONS:There are large differences in industry payment size and distribution among academic surgeons. The small percentage of academic surgeons who receive industry research support or NIH funding tend to have higher h-indices. For the overall population of orthopaedic surgery faculty, the h-index correlates poorly with the dollar amount and the total number of industry research payments. Regarding nonresearch industry payments, the h-index also appears to correlate poorly with the number and the dollar amount of payments. These results are encouraging because they suggest that industry bias may play a smaller role in the orthopaedic literature than previously thought.

The aim of this study was to analyze rates of perioperative complications and subsequent cervical surgeries in patients treated for cervical degenerative disc disease with anterior cervical discectomy and fusion (ACDF) and those treated with artificial cervical disc arthroplasty (ACDA) for up to 5-year follow-up. California’s Office of Statewide Health Planning and Development discharge database was analyzed for patients aged 18–65 years undergoing single-level ACDF or ACDA between 2003 and 2010. Medical comorbidities were identified with CMS-Condition Categories. Readmissions for short-term complications of the procedure were identified and rates of subsequent cervical surgeries were calculated at 90-day and 1-, 3-, and 5-year follow-up. Multivariate regression modeling was used to identify associations with complications and subsequent cervical surgeries correcting for patient and provider characteristics. A total of 52,395 eligible cases were identified: 50,926 ACDF and 1469 ACDA. Readmission was less common in the ACDA group (OR: 0.69, 95% CI: 0.48–1.0, p = 0.048). Subsequent cervical spine surgery was more common in the ACDF group in the immediate perioperative period (within 90 days of surgery) (ACDF 3.35% vs. ACDA 2.04%, OR: 0.63, 95% CI: 0.44-0.92, p = 0.015). At 1-, 3-, and 5-year postoperatively, rates of subsequent cervical surgeries were similar between the two cohorts. We found no protective benefit for ACDA versus ACDF for single-level disease at up to 5-year follow-up in the largest cohort of patients examined to date. Early complications were rare in both cohorts stressing the value of large cohort studies to study risk factors for rare events. These slides can be retrieved under Electronic Supplementary Material.

The Orthopaedic Fellowship Match was established in 2008 to streamline and improve the process of matching residents and fellowships. The purpose of this study was to quantify the factors that affect the application process and to determine how residents establish a rank list. The Orthopaedic Fellowship Match has improved the ability of residents and programs to consider their options more carefully and to focus on finding the best match. However, this process introduces new factors for all parties involved to consider. The costs of the interview process and time away from service for residents may be larger than anticipated. Ultimately, residents value operative experience and staff members at a fellowship more than all other factors when selecting a fellowship. [ Orthopedics. 2015; 38(3):175–179.]

This study reports the responsiveness to change and minimal clinically important difference (MCID) of three patient reported outcome measures following total hip arthroplasty (THA) and total knee arthroplasty (TKA). Patient-reported outcome measures were collected preoperatively and 3 months postoperatively for 391 patients enrolled in the California Joint Replacement Registry. Effect size, standardized response means, and MCID were calculated for each measure. The WOMAC and the SF12v2 physical component summary (PCS) score were the most responsive to perioperative changes. The MCID was 4.97 for the SF12v2 PCS and 10.21 for the WOMAC. THA patients were more likely to exhibit improvements above the MCID than TKA patients. The WOMAC and SF12v2 PCS are useful to measure health status changes in TJA patients. Level of Evidence: Prognostic Level II.

Background: Although the peroneal muscles are known to be the major dynamic lateral stabilizers of the ankle, little information is available regarding the change in muscle strength and relation with the outcomes after lateral ligament repair surgery. The purpose of this study was to identify the effects of peroneal strength on the validated functional outcome measures after the modified Broström procedure (MBP) for chronic ankle instability. Methods: Forty-one patients (41 ankles) who underwent MBP using suture anchors were eligible and followed up to 2 years postoperatively. Functional evaluation consisted of the Foot and Ankle Outcome Score (FAOS), and Foot and Ankle Ability Measure (FAAM). The changes of peroneal strength were evaluated using an isokinetic dynamometer. Differences in the functional outcomes between the 3 groups divided according to the recovery rate of peroneal strength were analyzed. Results: Peak torque and total work for eversion in 60 degrees/s angular velocity significantly improved from a mean 8.1 and 5.2 Nm preoperatively to 11.4 and 6.9 Nm at postoperative 2 years, respectively ( P < .001, P = .038). The deficit ratio of peak torque for eversion significantly improved from a mean 38.6% to 17.4%, and a significant side-to-side difference was found ( P = .011). There were no significant differences in FAOS, FAAM, and measurements of stress radiograph between the 3 groups. Conclusions: Although restoration of peroneal strength postoperatively was about 82.6% of the unaffected ankle, patient-reported function in daily and sport activities were satisfactorily improved. Postoperative isokinetic strength of the peroneals demonstrated no statistically significant effects on the functional outcomes after MBP. Level of Evidence: Level III, prospective comparative case series.

Background Although various minimally invasive procedures for chronic ankle instability are increasingly being used, a question regarding whether these procedures can be a viable alternative of the modified Brostrom procedure remains controversial. This study was conducted to compare the intermediate-term clinical outcomes between lateral ligaments augmentation using suture-tape and modified Brostrom repair in a selected cohort of patients. Methods Sixty female patients with chronic lateral ankle instability were randomly assigned and underwent surgical treatments by one surgeon. Twenty-eight patients with suture-tape augmentation and 27 modified Brostrom procedures were followed ≥2 years and analysed in this comparative study. The clinical evaluation included the Foot and Ankle Outcome Score (FAOS), Foot and Ankle Ability Measure (FAAM), and stress radiographs. Medical expense related with operation was analysed to evaluate the cost-effectiveness. Results There were no statistically significant differences in the clinical outcomes between two procedures based on FAOS, FAAM, recurrence rate of instability, and stress radiographs. Total medical expense was approximately 1.3 times more in the suture-tape group ( P Conclusions Lateral ankle ligaments augmentation using suture-tape showed the similar clinical outcomes but low cost-effectiveness, as compared to modified Brostrom repair for young female patients with chronic ankle instability.

Despite a consensus regarding the correlation of peroneal strength deficit with chronic ankle instability (CAI), there are conflicting reports in regards to peroneal strength as assessed by isokinetic dynamometer in patients with CAI. The purpose of this study was to evaluate the changes of isokinetic strength in patients with CAI compared to ankle sprain copers and normal individuals.Forty-two patients (CAI group) with chronic ankle instability who were scheduled for the modified Broström procedure met inclusion criteria. Thirty-one ankle sprain copers (ASC group) who were eligible at 6 months after acute injury and 30 controls were recruited. The muscle strength associated with four motions of the ankle were evaluated using isokinetic dynamometer.Peak torque for inversion and eversion at 60°/s angular velocity were significantly lower in the CAI group compared to the ASC and control group (P=.004, P.001, respectively). Deficit ratio of peak torque for eversion at 60°/s and 120°/s in the CAI group were 33.8% and 19.8%, respectively, which indicated significant side to side differences (both P.001). The evertor/invertor strength ratio (0.59) for eversion at 60°/s was significantly lower in the CAI group (P.001).As compared to the ankle sprain copers and normal individuals, patients with chronic ankle instability who were scheduled for modified Broström procedure demonstrated a significant weakness of isokinetic peroneal strength. Isokinetic muscular assessment can provide the useful preoperative informations regarding functional ankle instability focusing on peroneal weakness.

The California Department of Industrial Relations asked RAND to examine the feasibility and appropriateness of including procedures that are typically performed only in an inpatient setting on the workers' compensation Official Medical Fee Schedule for ambulatory surgical center facility fees. The authors used interviews, literature review, and data analysis to assemble information on the requirements applicable to ASCs, assess how the criteria that Medicare uses to assess whether procedures can be safely performed in an outpatient setting apply to the workers' compensation patient population, and to examine alternative methods for establishing fee schedule amounts. The study focused on 23 high-volume workers' compensation inpatient procedures with relatively short average lengths of stay. The study finds that most ASCs that are currently eligible for facility fees are equipped to provide services that do not require a one-night stay. However, the data analyses and literature review did not provide strong support for adding any procedures to the fee schedule with the possible exception of procedures related to cervical spinal fusions. Other than instrumentation used in conjunction with spinal fusions, relatively few of the study procedures are being performed in an ambulatory setting on either WC or privately insured patients ages 18-64. The literature suggests that two-level anterior cervical fusions and the use of instrumentation for one- or two-level fusions can be performed safely on an outpatient basis but does not include evidenced-based selection criteria to suggest which patients are appropriate candidates for having the procedures in an outpatient setting.

Background: The purpose of this study was to report complication and reoperation rates following non-arthroplasty fixation of shoulder fractures determined on the basis of observational, population-based data from all inpatient admissions in California over an eleven-year period. Methods: Records from all inpatient hospital discharges and subsequent readmissions related to operative non-arthroplasty treatment of proximal humeral fractures were obtained for patients in California from December 1994 through December 2005. These admissions were evaluated to identify patient and hospital characteristics associated with short and intermediate-term complications (within and after ninety days, respectively) as well as reoperation rates. Procedures performed included open reduction and internal fixation in 9254 patients, closed reduction and internal fixation in 1903 patients, and internal fixation without reduction in 302 patients. Results: The short-term complications included mortality in 401 patients (3.5%), which was associated with a higher Charlson comorbidity index (odds ratio [OR] = 1.5, p < 0.001) and male sex (OR = 1.7, p < 0.001); and pulmonary embolism in sixty patients (0.5%), which was associated with male sex (OR = 2.2, p = 0.007) and patient age of seventy-five years or older (OR = 3.6, p = 0.001). Intermediate-term reoperations included conversion to hemiarthroplasty in 174 patients (1.5%); and conversion to total shoulder arthroplasty in eight patients (0.07%), which was associated with an age of fifty to sixty-four years (hazard ratio = 2.8, p = 0.007). Overall, an age of sixty-five years or older, male sex, residence in an area with an income in the lowest two quintiles, and the presence of preexisting comorbidities were associated with elevated risks of short-term complications but not of intermediate-term conversion to arthroplasty. The ninety-day revision rate was 5.3%. Conclusions: Surgical fixation of proximal humeral fractures has a low complication and mortality profile. The data provided in this study can serve in counseling patients about risks associated with operative fixation of displaced proximal humeral fractures. Level of Evidence: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.