Editorial Commentary: Endoscopic Hip Abductor Repair Results in Excellent Outcomes in Challenging Patients: Surgical Indications Require Additional Clarification.

Hip abductor pathology exists on a spectrum, potentially involving symptoms of pain, weakness, loss of active motion, and disordered movement. Imaging findings may include tendinosis, detachment of a portion of the footprint, fluid imbibition with undersurface tearing at the footprint, or full-thickness detachment of 1 or both tendons with or without evidence of fatty infiltration or atrophy of the associated muscle bellies. Yet, sometimes there are no imaging findings at all. Endoscopic repair of hip abductor tendon tears is growing in popularity and interest. Recent research suggests that with treatment of concomitant pathology, excellent clinical results are durable, even in patients with potentially poor prognoses (eg - older patients with poor preoperative patient reported outcome measures). While techniques have become increasingly refined, surgical indications remain vague and confusing. Future research could consider why some patients are taken to the operating room, while most are not.

A history of shoulder instability is more common in young patients undergoing total shoulder arthroplasty.

BACKGROUND: Previous studies have shown an association between shoulder instability and the development of glenohumeral arthritis leading to total shoulder arthroplasty (TSA). The primary goal of this study was to evaluate if a history of shoulder instability was more common in patients aged <50 years undergoing TSA. The secondary objective was to determine if a history of prior surgical stabilization is more common in patients aged <50 years undergoing TSA. METHODS: Using the military health system data repository (MDR) and the Military Analysis and Reporting Tool (M2), we identified 489 patients undergoing primary TSA from October 1, 2013, to May 1, 2020, within the Military Health System (MHS). Patients aged <50 years were matched 1:2 with patients aged ≥50 years based on sex, race, and military status, with the final study population comprising 240 patients who underwent primary TSA during the study period. Electronic medical records were examined, and factors showing univariate association (P < .2) were included in a binary logistic regression analysis to determine associations between demographic or clinical factors and TSA prior to age 50 years. RESULTS: The groups differed significantly in shoulder arthritis subtype, with the older group having significantly more primary osteoarthritis (78% vs. 51%, P < .001). The younger group had significantly more patients with a history of shoulder instability (48% vs. 12%, P < .001), prior ipsilateral shoulder surgery of any type (74% vs. 34%, P < .001), and prior ipsilateral shoulder stabilization surgery (31% vs. 5%, P < .001). In the resultant logistic regression model, a history of shoulder instability (OR 5.0, P < .001) and a history of any prior ipsilateral shoulder surgery (OR 3.5, P < .001) were associated with TSA prior to the age of 50 years. CONCLUSIONS: Shoulder instability is a risk factor for TSA before age 50 years. It is unclear how surgical stabilization influences the development of secondary glenohumeral arthritis in shoulder instability. Patients should be counseled that recurrent instability could lead to earlier TSA, regardless of whether surgical stabilization is performed.

Machine Learning to Predict Discharge Destination After Total Knee Arthroplasty and Total Hip Arthroplasty.

Discharge destination impacts costs and perioperative planning for primary total knee (TKA) or hip arthroplasty (THA). The purpose of this study was to create a tool to predict discharge destination in contemporary patients. Models were developed using more than 400,000 patients from the National Surgical Quality Improvement Program database. Models were compared with a previously published model using area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). AUC on patients with TKA was 0.729 (95% confidence interval [CI]: 0.719 to 0.738) and 0.688 (95% CI: 0.678 to 0.697) using the new and previous models, respectively. AUC on patients with THA was 0.768 (95% CI: 0.758 to 0.778) and 0.726 (95% CI: 0.714 to 0.737) using the new and previous models, respectively. DCA showed substantially improved net clinical benefit. The new models were integrated into a web-based application. This tool enhances clinical decision making for predicting discharge destination following primary TKA and THA. (Journal of Surgical Orthopaedic Advances 32(4):252-258, 2023).

Machine-learning Models Predict 30-Day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.

BACKGROUND: Aseptic revision THA and TKA are associated with an increased risk of adverse outcomes compared with primary THA and TKA. Understanding the risk profiles for patients undergoing aseptic revision THA or TKA may provide an opportunity to decrease the risk of postsurgical complications. There are risk stratification tools for postoperative complications after aseptic revision TKA or THA; however, current tools only include nonmodifiable risk factors, such as medical comorbidities, and do not include modifiable risk factors. QUESTIONS/PURPOSES: (1) Can machine learning predict 30-day mortality and complications for patients undergoing aseptic revision THA or TKA using a cohort from the American College of Surgeons National Surgical Quality Improvement Program database? (2) Which patient variables are the most relevant in predicting complications? METHODS: This was a temporally validated, retrospective study analyzing the 2014 to 2019 National Surgical Quality Improvement Program database, as this database captures a large cohort of aseptic revision THA and TKA patients across a broad range of clinical settings and includes preoperative laboratory values. The training data set was 2014 to 2018, and 2019 was the validation data set. Given that predictive models learn expected prevalence of outcomes, this split allows assessment of model performance in contemporary patients. Between 2014 and 2019, a total of 24,682 patients underwent aseptic revision TKA and 17,871 patients underwent aseptic revision THA. Of those, patients with CPT codes corresponding to aseptic revision TKA or THA were considered as potentially eligible. Based on excluding procedures involving unclean wounds, 78% (19,345 of 24,682) of aseptic revision TKA procedures and 82% (14,711 of 17,871) of aseptic revision THA procedures were eligible. Ten percent of patients in each of the training and validation cohorts had missing predictor variables. Most of these missing data were preoperative sodium or hematocrit (8% in both the training and validation cohorts). No patients had missing outcome data. No patients were excluded due to missing data. The mean patient was age 66 ± 12 years, the mean BMI was 32 ± 7 kg/m 2 , and the mean American Society of Anesthesiologists (ASA) Physical Score was 3 (56%). XGBoost was then used to create a scoring tool for 30-day adverse outcomes. XGBoost was chosen because it can handle missing data, it is nonlinear, it can assess nuanced relationships between variables, it incorporates techniques to reduce model complexity, and it has a demonstrated record of producing highly accurate machine-learning models. Performance metrics included discrimination and calibration. Discrimination was assessed by c-statistics, which describe the area under the receiver operating characteristic curve. This quantifies how well a predictive model discriminates between patients who have the outcome of interest versus those who do not. Relevant ranges for c-statistics include good (0.70 to 0.79), excellent (0.80 to 0.89), and outstanding (> 0.90). We estimated 95% confidence intervals (CIs) for c-statistics by 500-sample bootstrapping. Calibration curves quantify reliability of model predictions. Reliable models produce prediction probabilities for outcomes that are similar to observed probabilities of those outcomes, so a well-calibrated model should demonstrate a calibration curve that does not deviate substantially from a line of slope 1 and intercept 0. Calibration curves were generated on the 2019 validation data. Shapley Additive Explanations (SHAP) visualizations were used to investigate feature importance to gain insight into how models made predictions. The models were built into an online calculator for ongoing testing and validation. The risk calculator, which is freely available ( http://nb-group.org/rev2/ ), allows a user to input patient data to calculate postoperative risk of 30-day mortality, cardiac, and respiratory complications after aseptic revision TKA or THA. A post hoc analysis was performed to assess whether using data from 2020 would improve calibration on 2019 data. RESULTS: The model accurately predicted mortality, cardiac complications, and respiratory complications after aseptic revision THA or TKA, with c-statistics of 0.88 (95% CI 0.83 to 0.93), 0.80 (95% CI 0.75 to 0.84), and 0.78 (95% CI 0.74 to 0.82), respectively, on internal validation and 0.87 (95% CI 0.77 to 0.96), 0.70 (95% CI 0.61 to 0.78), and 0.82 (95% CI 0.75 to 0.88), respectively, on temporal validation. Calibration curves demonstrated slight over-confidence in predictions (most predicted probabilities were higher than observed probabilities). Post hoc analysis of 2020 data did not yield improved calibration on the 2019 validation set. Important risk factors for all models included increased age and higher ASA, BMI, hematocrit level, and sodium level. Hematocrit and ASA were in the top three most important features for all models. The factor with the strongest association for mortality and cardiac complication models was age, and for the respiratory model, chronic obstructive pulmonary disease. Risk related to sodium followed a U-shaped curve. Preoperative hyponatremia and hypernatremia predicted an increased risk of mortality and respiratory complications, with a nadir of 138 mmol/L; hyponatremia was more strongly associated with mortality than hypernatremia. A hematocrit level less than 36% predicted an increased risk of all three adverse outcomes. A BMI less than 24 kg/m 2 -and especially less than 20 kg/m 2 -predicted an increased risk of all three adverse outcomes, with little to no effect for higher BMI. CONCLUSION: This temporally validated model predicted 30-day mortality, cardiac complications, and respiratory complications after aseptic revision THA or TKA with c-statistics ranging from 0.78 to 0.88. This freely available risk calculator can be used preoperatively by surgeons to educate patients on their individual postoperative risk of these specific adverse outcomes. Unanswered questions that remain include whether altering the studied preoperative patient variables, such as sodium or hematocrit, would affect postoperative risk of adverse outcomes; however, a prospective cohort study is needed to answer this question. LEVEL OF EVIDENCE: Level III, therapeutic study.

A Machine-Learning Algorithm to Predict the Likelihood of Prolonged Opioid Use Following Arthroscopic Hip Surgery.

PURPOSE: To develop a machine-learning algorithm and clinician-friendly tool predicting the likelihood of prolonged opioid use (>90 days) following hip arthroscopy. METHODS: The Military Data Repository was queried for all adult patients undergoing arthroscopic hip surgery between 2012 and 2017. Demographic, health history, and prescription records were extracted for all included patients. Opioid use was divided into preoperative use (30-365 days before surgery), perioperative use (30 days before surgery through 14 days after surgery), postoperative use (14-90 days after surgery), and prolonged postoperative use (90-365 days after surgery). Six machine-learning algorithms (Naïve Bayes, Gradient Boosting Machine, Extreme Gradient Boosting, Random Forest, Elastic Net Regularization, and artificial neural network) were developed. Area under the receiver operating curve and Brier scores were calculated for each model. Decision curve analysis was applied to assess clinical utility. Local-Interpretable Model-Agnostic Explanations were used to demonstrate factor weights within the selected model. RESULTS: A total of 6,760 patients were included, of whom 2,762 (40.9%) filled at least 1 opioid prescription >90 days after surgery. The artificial neural network model showed superior discrimination and calibration with area under the receiver operating curve = 0.71 (95% confidence interval 0.68-0.74) and Brier score = 0.21 (95% confidence interval 0.20-0.22). Postsurgical opioid use, age, and preoperative opioid use had the most influence on model outcome. Lesser factors included the presence of a psychological comorbidity and strong history of a substance use disorder. CONCLUSIONS: The artificial neural network model shows sufficient validity and discrimination for use in clinical practice. The 5 identified factors (age, preoperative opioid use, postoperative opioid use, presence of a mental health comorbidity, and presence of a preoperative substance use disorder) accurately predict the likelihood of prolonged opioid use following hip arthroscopy. LEVEL OF EVIDENCE: III, retrospective comparative prognostic trial.

Species and population specific gene expression in blood transcriptomes of marine turtles.

BACKGROUND: Transcriptomic data has demonstrated utility to advance the study of physiological diversity and organisms' responses to environmental stressors. However, a lack of genomic resources and challenges associated with collecting high-quality RNA can limit its application for many wild populations. Minimally invasive blood sampling combined with de novo transcriptomic approaches has great potential to alleviate these barriers. Here, we advance these goals for marine turtles by generating high quality de novo blood transcriptome assemblies to characterize functional diversity and compare global transcriptional profiles between tissues, species, and foraging aggregations. RESULTS: We generated high quality blood transcriptome assemblies for hawksbill (Eretmochelys imbricata), loggerhead (Caretta caretta), green (Chelonia mydas), and leatherback (Dermochelys coriacea) turtles. The functional diversity in assembled blood transcriptomes was comparable to those from more traditionally sampled tissues. A total of 31.3% of orthogroups identified were present in all four species, representing a core set of conserved genes expressed in blood and shared across marine turtle species. We observed strong species-specific expression of these genes, as well as distinct transcriptomic profiles between green turtle foraging aggregations that inhabit areas of greater or lesser anthropogenic disturbance. CONCLUSIONS: Obtaining global gene expression data through non-lethal, minimally invasive sampling can greatly expand the applications of RNA-sequencing in protected long-lived species such as marine turtles. The distinct differences in gene expression signatures between species and foraging aggregations provide insight into the functional genomics underlying the diversity in this ancient vertebrate lineage. The transcriptomic resources generated here can be used in further studies examining the evolutionary ecology and anthropogenic impacts on marine turtles.

Differences in Antibody Responses against Chelonid Alphaherpesvirus 5 (ChHV5) Suggest Differences in Virus Biology in ChHV5-Seropositive Green Turtles from Hawaii and ChHV5-Seropositive Green Turtles from Florida.

Fibropapillomatosis (FP) is a tumor disease associated with a herpesvirus (chelonid herpesvirus 5 [ChHV5]) that affects mainly green turtles globally. Understanding the epidemiology of FP has been hampered by a lack of robust serological assays to monitor exposure to ChHV5. This is due in part to an inability to efficiently culture the virus in vitro for neutralization assays. Here, we expressed two glycoproteins (FUS4 and FUS8) from ChHV5 using baculovirus. These proteins were immobilized on enzyme-linked immunosorbent assay plates in their native form and assayed for reactivity to two types of antibodies, full-length 7S IgY and 5.7S IgY, which has a truncated Fc region. Turtles from Florida were uniformly seropositive to ChHV5 regardless of tumor status. In contrast, in turtles from Hawaii, we detected strong antibody reactivity mainly in tumored animals, with a lower antibody response being seen in nontumored animals, including those from areas where FP is enzootic. Turtles from Hawaii actively shedding ChHV5 were more seropositive than nonshedders. In trying to account for differences in the serological responses to ChHV5 between green turtles from Hawaii and green turtles from Florida, we rejected the cross-reactivity of antibodies to other herpesviruses, differences in viral epitopes, or differences in procedure as likely explanations. Rather, behavioral or other differences between green turtles from Hawaii and green turtles from Florida might have led to the emergence of biologically different viral strains. While the strains from turtles in Florida apparently spread independently of tumors, the transmission of the Hawaiian subtype relies heavily on tumor formation.IMPORTANCE Fibropapillomatosis (FP) is a tumor disease associated with chelonid herpesvirus 5 (ChHV5) that is an important cause of mortality in threatened green turtles globally. FP is expanding in Florida and the Caribbean but declining in Hawaii. We show that Hawaiian turtles mount antibodies to ChHV5 mainly in response to tumors, which are the only sites of viral replication, whereas tumored and nontumored Floridian turtles are uniformly seropositive. Tumor viruses that depend on tumors for replication and spread are rare, with the only example being the retrovirus causing walleye dermal sarcoma in fish. The Hawaiian strain of ChHV5 may be the first DNA virus with such an unusual life history. Our findings, along with the fundamental differences in the life histories between Floridian turtles and Hawaiian turtles, may partly explain the differential dynamics of FP between the two regions.

Characterization of Halogenated Organic Compounds in Pelagic Sharks and Sea Turtles Using a Nontargeted Approach.

Halogenated organic compounds (HOCs) in marine species collected from the Atlantic Ocean [3 shortfin mako (Isurus oxyrinchus) and 1 porbeagle (Lamna nasus)], and 12 sea turtles collected from the Pacific Ocean [3 loggerhead (Caretta caretta), 3 green (Chelonia mydas), 3 olive ridley (Lepidochelys olivacea), and 3 hawksbill (Eretmochelys imbricata)] were analyzed with a nontargeted analytical method using two-dimensional gas chromatography coupled to high-resolution time-of-flight mass spectrometry. Sharks and sea turtles had distinct HOC profiles. Halogenated methoxyphenols (halo-MeOPs) were the most abundant compound class identified in sea turtle livers, while polychlorinated biphenyls (PCBs) were the most abundant in shark livers. In addition to legacy contaminants and halo-MeOPs, a total of 110 nontargeted/novel HOCs (NHOCs) were observed in the shark livers. Shortfin mako collected from the northern Gulf of Mexico contained the largest number (89) and most diverse structural classes of NHOCs. Among all NHOCs, a group of compounds with the elemental composition C14H12-nCln (n = 5-8) exhibited the highest concentrations, followed by chlorocarbazoles and tris(chlorophenyl) methanes (TCPMs). Using nontargeted workflows, a variety of known and unknown HOCs were observed, which demonstrate the need to develop more complete chemical profiles in the marine environment.

Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?

BACKGROUND: Machine-learning methods such as the Bayesian belief network, random forest, gradient boosting machine, and decision trees have been used to develop decision-support tools in other clinical settings. Opioid abuse is a problem among civilians and military service members, and it is difficult to anticipate which patients are at risk for prolonged opioid use. QUESTIONS/PURPOSES: (1) To build a cross-validated model that predicts risk of prolonged opioid use after a specific orthopaedic procedure (ACL reconstruction), (2) To describe the relationships between prognostic and outcome variables, and (3) To determine the clinical utility of a predictive model using a decision curve analysis (as measured by our predictive system's ability to effectively identify high-risk patients and allow for preventative measures to be taken to ensure a successful procedure process). METHODS: We used the Military Analysis and Reporting Tool (M2) to search the Military Health System Data Repository for all patients undergoing arthroscopically assisted ACL reconstruction (Current Procedure Terminology code 29888) from January 2012 through December 2015 with a minimum of 90 days postoperative follow-up. In total, 10,919 patients met the inclusion criteria, most of whom were young men on active duty. We obtained complete opioid prescription filling histories from the Military Health System Data Repository's pharmacy records. We extracted data including patient demographics, military characteristics, and pharmacy data. A total of 3.3% of the data was missing. To curate and impute all missing variables, we used a random forest algorithm. We shuffled and split the data into 80% training and 20% hold-out sets, balanced by outcome variable (Outcome90Days). Next, the training set was further split into training and validation sets. Each model was built on the training data set, tuned with the validation set as applicable, and finally tested on the separate hold-out dataset. We chose four predictive models to develop, at the end choosing the best-fit model for implementation. Logistic regression, random forest, Bayesian belief network, and gradient boosting machine models were the four chosen models based on type of analysis (classification). Each were trained to estimate the likelihood of prolonged opioid use, defined as any opioid prescription filled more than 90 days after anterior cruciate reconstruction. After this, we tested the models on our holdout set and performed an area under the curve analysis concordance statistic, calculated the Brier score, and performed a decision curve analysis for validation. Then, we chose the method that produced the most suitable analysis results and, consequently, predictive power across the three calculations. Based on the calculations, the gradient boosting machine model was selected for future implementation. We systematically selected features and tuned the gradient boosting machine to produce a working predictive model. We performed area under the curve, Brier, and decision curve analysis calculations for the final model to test its viability and gain an understanding of whether it is possible to predict prolonged opioid use. RESULTS: Four predictive models were successfully developed using gradient boosting machine, logistic regression, Bayesian belief network, and random forest methods. After applying the Boruta algorithm for feature selection based on a 100-tree random forest algorithm, features were narrowed to a final seven features. The most influential features with a positive association with prolonged opioid use are preoperative morphine equivalents (yes), particular pharmacy ordering sites locations, shorter deployment time, and younger age. Those observed to have a negative association with prolonged opioid use are particular pharmacy ordering sites locations, preoperative morphine equivalents (no), longer deployment, race (American Indian or Alaskan native) and rank (junior enlisted).On internal validation, the models showed accuracy for predicting prolonged opioid use with AUC greater than our benchmark cutoff 0.70; random forest were 0.76 (95% confidence interval 0.73 to 0.79), 0.76 (95% CI 0.73 to 0.78), 0.73 (95% CI 0.71 to 0.76), and 0.72 (95% CI 0.69 to 0.75), respectively. Although the results from logistic regression and gradient boosting machines were very similar, only one model can be used in implementation. Based on our calculation of the Brier score, area under the curve, and decision curve analysis, we chose the gradient boosting machine as the final model. After selecting features and tuning the chosen gradient boosting machine, we saw an incremental improvement in our implementation model; the final model is accurate, with a Brier score of 0.10 (95% CI 0.09 to 0.11) and area under the curve of 0.77 (95% CI 0.75 to 0.80). It also shows the best clinical utility in a decision curve analysis. CONCLUSIONS: These scores support our claim that it is possible to predict which patients are at risk of prolonged opioid use, as seen by the appropriate range of hold-out analysis calculations. Current opioid guidelines recommend preoperative identification of at-risk patients, but available tools for this purpose are crude, largely focusing on identifying the presence (but not relative contributions) of various risk factors and screening for depression. The power of this model is that it will permit the development of a true clinical decision-support tool, which risk-stratifies individual patients with a single numerical score that is easily understandable to both patient and surgeon. Probabilistic models provide insight into how clinical factors are conditionally related. Not only will this gradient boosting machine be used to help understand factors contributing to opiate misuse after ACL reconstruction, but also it will allow orthopaedic surgeons to identify at-risk patients before surgery and offer increased support and monitoring to prevent opioid abuse and dependency. LEVEL OF EVIDENCE: Level III, therapeutic study.

Non-treatment of stable ramp lesions does not degrade clinical outcomes in the setting of primary ACL reconstruction.

PURPOSE: The purpose of this study was to evaluate the clinical outcomes of various methods of treatment of stable and unstable ramp lesions compared to patients with no meniscal pathology at the time of primary ACL reconstruction. METHODS: All patients with a preoperative MRI performed at our facility who were enrolled in an institutional ACL registry and 1-year clinical follow-up were identified. A musculoskeletal radiologist reviewed preoperative MRI scans for evidence of a ramp lesion. Ramp lesions were classified as stable if a peripheral tear of the posterior horn of the medial meniscus was identified by MRI, but did not displace into the medial compartment with anteriorly directed probing at the time of surgery. Ramp lesions were classified as unstable if a tear was identified by preoperative MRI at the meniscocapsular junction and the meniscus was displaceable into the medial compartment with probing. Reoperation rates for ACL graft failure or recurrent medial meniscus pathology were collected. Patient-reported outcome scores (IKDC, SF12 PCS, SF12 MCS, and Marx Activity scale) were recorded at baseline and final follow-up. RESULTS: A total of 162 patients were included in the analysis with median 2-year (range 1-5 years) clinical follow-up. Patients with a repaired unstable ramp lesion had a significantly higher likelihood of reoperation for recurrent medial meniscus pathology than patients without meniscal pathology at the time of index surgery. Patients with an untreated stable ramp lesion had a similar rate of reoperation when compared to patients without meniscal pathology. At final follow-up, there was no difference between groups in IKDC score, SF12 PCS/MCS, or Marx activity score or change in any score. CONCLUSIONS: Patients with untreated stable ramp lesions have similar clinical outcomes at median 2-year (range 1-5 years) follow-up when compared to patients without a ramp lesion. Treatment of stable ramp lesions at the time of ACL reconstruction does not have clinical benefit. LEVEL OF EVIDENCE: III.

Shifts in Prescribers' Initial Postoperative Opioid Prescriptions Following Primary Total Hip Arthroplasty Between 2014 and 2018.

BACKGROUND: The opioid epidemic is a public health crisis impacting the practice of surgeons performing primary total hip arthroplasty (THA). Seeking to evaluate changes in prescribers' practices, we asked the following questions: (1) Have the initial discharge opioids following THA changed and (2) Have initial total oral morphine milligram equivalents (OME) prescribed following THA decreased since 2014? METHODS: We retrospectively reviewed discharge prescriptions for 4233 primary THAs performed between fiscal years (FYs) 2014 and 2018 throughout our healthcare system. Drug, dosing, and total OMEs were recorded. We categorized prescriptions into 3 groups: short-acting narcotics only, short-acting plus long-acting narcotics, and short-acting narcotics plus tramadol. Mean age was 59 and 63% were males. RESULTS: The proportion of patients receiving tramadol increased from 2% (FY14) to 25% (FY18) while long-acting opioid prescriptions decreased from 44% (FY14) to 14% (FY18). Oxycodone (82%) was the most common short-acting narcotic. In total, we observed a 27% decrease in initial OME prescribed to a mean of 683 mg (FY18) (P < .0001). Short-acting only protocols had a 19% OME decrease to 589 mg (FY18). Short plus long-acting protocols haed a 23% OME decrease to 939 mg (FY18). Short-acting plus tramadol had an OME of 849 mg (FY18). CONCLUSION: Despite a 27% observed decrease in initial OME prescription following THA, the 683 mg mean OME in FY18 was high. Substituting tramadol for a long-acting narcotic failed to have a dramatic clinical impact on decreasing OME. These data suggest that decreasing the number of short-acting narcotic pills is a critical factor in decreasing OME.

Union Rates and Reported Range of Motion Are Acceptable After Open Forearm Fractures in Military Combatants.

BACKGROUND: High-energy open forearm fractures are unique injuries frequently complicated by neurovascular and soft tissue injuries. Few studies have evaluated the factors associated with nonunion and loss of motion after these injuries, particularly in the setting of blast injuries. QUESTIONS/PURPOSES: (1) In military service members with high-energy open forearm fractures, what proportion achieved primary or secondary union? (2) What is the pronation-supination arc of motion as stratified by the presence or absence of heterotopic ossification (HO) and synostosis? (3) What are the risks of heterotopic ossification and synostosis? (4) What factors may be associated with forearm fracture nonunion? METHODS: A retrospective study of all open forearm fractures treated at a tertiary military referral center from January 2004 to December 2014 was performed. In all, 76 patients were identified and three were excluded, leaving 73 patients for inclusion. All 73 patients had serial radiographs to assess for HO and union. Only 64 patients had rotational range of motion (ROM) data. All patients returned to the operating room at least once after initial irrigation and débridement to ensure the soft tissue envelope was stable before definitive fixation. The indication for repeat irrigation and débridement was determined by clinical appearance. Patient demographics, fracture and soft tissue injury patterns, surgical treatments, neurovascular status at the time of injury, incidence of infection, heterotopic ossification (defined as the presence of heterotopic bone visible on serial radiographs), radioulnar synostosis, bony status after initial definitive treatment (union, nonunion, or amputation), and forearm rotation at final followup were retrospectively obtained from chart review by someone other than the operating surgeon. Seventy-six open forearm fractures in 76 patients were reviewed; 73 patients were examined for osseous union as three went on to early amputation, and 64 patients had forearm ROM data available for analysis. Union was determined by earliest radiology or orthopaedic staff official dictation stating the fracture was healed. Nonunion was defined as the clinical determination by the orthopaedist for a repeat procedure to achieve bony union. Secondary union was defined as union after reoperation to achieve bony union, and final union was defined as overall percentage of patients who were healed at final followup. Of the patients analyzed for union, 20 had less than 1 year of followup, and of these, none had nonunion. Of the patients analyzed for ROM, eight patients had less than 6 months of followup (range, 84-176 days). Of these, one patient had decreased ROM, none had a synostosis, and the remaining had > 140° of motion. RESULTS: Initial treatment resulted in primary union in 62 of 73 patients (85%); secondary union was achieved in eight of 11 patients (73%); and final union was achieved in 70 of 73 patients (96%). Although pronation-supination arc in patients without HO was 140° ± 35°, a limited pronation-supination arc was primarily associated with synostosis (arc: 40° ± 40°; mean difference from patients without HO: 103° [95% confidence interval {CI}, 77°-129°], p < 0.001); patients with HO but without synostosis had fewer limitations to ROM than those with synostosis (arc: 110° ± 80°, mean difference: 77° [35°-119°], p < 0.001). Heterotopic ossification developed in 40 of 73 patients (55%), including a radioulnar synostosis in 14 patients (19%). Bone loss at the fracture site (relative risk (RR) 6.2; 95% CI, 1.8-21) and healing complicated by infection (RR, 9.9; 95% CI, 4.9-20) were associated with the development of nonunion after initial treatment. Other potential factors such as smoking status, vascular injury, both-bone involvement, need for free flap coverage and blast mechanism were not associated. CONCLUSIONS: Despite a high-energy mechanism of injury and high rate of soft tissue defects, the ultimate probability of fracture union in our series was high with a low infection risk. Nonunions were associated with bone loss and deep infection. Functional motion was achieved in most patients despite increased burden of HO and synostosis compared with civilian populations. However, if synostosis did not develop, HO itself did not appear to interfere with functional ROM. Future investigations may provide improved decision-making tools for timing of fixation and prophylactic means against HO synostosis. LEVEL OF EVIDENCE: Level III, therapeutic study.

In Vitro Replication of Chelonid Herpesvirus 5 in Organotypic Skin Cultures from Hawaiian Green Turtles (Chelonia mydas).

Fibropapillomatosis (FP) is a tumor disease of marine turtles associated with chelonid herpesvirus 5 (ChHV5), which has historically been refractory to growth in tissue culture. Here we show, for the first time, de novo formation of ChHV5-positive intranuclear inclusions in cultured green turtle cells, which is indicative of active lytic replication of the virus. The minimal requirements to achieve lytic replication in cultured cells included (i) either in vitro cultures of ChHV5-positive tumor biopsy specimens (plugs) or organotypic cultures (rafts) consisting of ChHV5-positive turtle fibroblasts in collagen rafts seeded with turtle keratinocytes and (ii) keratinocyte maturation induced by raising raft or biopsy cultures to the air-liquid interface. Virus growth was confirmed by detailed electron microscopic studies that revealed intranuclear sun-shaped capsid factories, tubules, various stages of capsid formation, nuclear export by budding into the perinuclear space, tegument formation, and envelopment to complete de novo virus production. Membrane synthesis was also observed as a sign of active viral replication. Interestingly, cytoplasmic particles became associated with keratin filaments, a feature not seen in conventional monolayer cell cultures, in which most studies of herpesvirus replication have been performed. Our findings draw a rich and realistic picture of ChHV5 replication in cells derived from its natural host and may be crucial not only to better understand ChHV5 circulation but also to eventually complete Koch's postulates for FP. Moreover, the principles described here may serve as a model for culture of other viruses that are resistant to replication in conventional cell culture.IMPORTANCE A major challenge in virology is the study of viruses that cannot be grown in the laboratory. One example is chelonid herpesvirus 5 (ChHV5), which is associated with fibropapillomatosis, a globally distributed, debilitating, and fatal tumor disease of endangered marine turtles. Pathological examination shows that ChHV5 is shed in skin. Here we show that ChHV5 will grow in vitro if we replicate the complex three-dimensional structure of turtle skin. Moreover, lytic virus growth requires a close interplay between fibroblasts and keratinocytes. Finally, the morphogenesis of herpesviral growth in three-dimensional cultures reveals a far richer, and likely more realistic, array of capsid morphologies than that encountered in traditional monolayer cell cultures. Our findings have applications to other viruses, including those of humans.

Polymer Identification of Plastic Debris Ingested by Pelagic-Phase Sea Turtles in the Central Pacific.

Pelagic Pacific sea turtles eat relatively large quantities of plastic (median 5 g in gut). Using Fourier transform infrared spectroscopy, we identified the polymers ingested by 37 olive ridley, 9 green, and 4 loggerhead turtles caught as bycatch in Hawaii- and American Samoa-based longline fisheries. Unidentifiable samples were analyzed using high-temperature size exclusion chromatography with multiple detectors and/or X-ray photoelectron spectroscopy. Regardless of species differences in dive depths and foraging strategies, ingested plastics were primarily low-density, floating polymers (51% low-density polyethylene (LDPE), 26% polypropylene (PP), 10% unknown polyethylene (PE), and 5% high-density PE collectively). Albeit not statistically significant, deeper diving and deeper captured olive ridley turtles ate proportionally more plastics expected to sink (3.9%) than intermediate-diving green (1.2%) and shallow-diving loggerhead (0.3%) turtles. Spatial, but no sex, size, year, or hook depth differences were observed in polymer composition. LDPE and PP, some of the most produced and least recycled polymers worldwide, account for the largest percentage of plastic eaten by sea turtles in this region. These novel data inform managers about the threat of plastic ingestion to sea turtles and may motivate development of more environmentally friendly practices for plastic production, use, and waste management.

Reaction Time and Brake Pedal Depression Following Arthroscopic Hip Surgery: A Prospective Case-Control Study.

PURPOSE: The purpose of this study was to determine whether patients diagnosed with femoroacetabular impingement (FAI) syndrome have prolonged braking times compared with age- and gender-matched controls and how long after surgery braking times return to preoperative baseline. METHODS: Fifty-nine patients undergoing arthroscopic hip surgery for FAI and 59 age- and gender-matched controls without FAI were enrolled in a prospective comparative study between September 2015 and October 2016. Total brake reaction time (BRT) and brake pedal depression (BPD) were measured for study patients preoperatively, and at 2, 4, and 6 weeks postoperatively. BRT and BPD were compared between study and control patients and between preoperative and postoperative time periods, using mixed effects models. RESULTS: Patients with FAI had significantly prolonged BRT (but not BPD) prior to surgery compared with controls (568 vs 520 msec, P = .002). For study patients undergoing left hip surgery, there was no difference in BRT or BPD between preoperative measurements and any postoperative time point, including the first postoperative appointment at 2 weeks (563 vs 566 msec, P = .89). Patients undergoing right hip surgery had significantly prolonged BRT at 2 weeks postoperatively compared with their preoperative baseline (688 vs 573 msec, P < .001). By 4 weeks postoperatively, study patients undergoing right hip surgery had returned to their preoperative baseline (573 vs 594 msec, P = .28). No significant effect was seen based on visual analog scale pain score, opiate usage, or patient-reported outcome scores. CONCLUSIONS: Patients undergoing arthroscopic surgery of the right hip show significantly prolonged BRT until 4 weeks after surgery, while patients undergoing surgery of the left hip show no postoperative impairment in either BRT or BPD. The clinical relevance of this measured difference (an increase in 10 feet of stopping distance at 60 miles per hour) remains an open question. LEVEL OF EVIDENCE: Level II, diagnostic, prospective.

The Use of Distal Ulnar Hounsfield Units to Predict Future Fragility Fracture Risk.

PURPOSE: Distal ulnar Hounsfield unit (HU) measurements obtained from computed tomography (CT) scans of the wrist can be used to accurately screen for low bone mineral density. It is unknown whether HU measurements can also predict the risk of future fragility fractures. Therefore, the purpose of this study was to determine if the HU values of the distal ulna correlate to fragility fracture risk. METHODS: An electronic database of radiographs at a single institution was searched for all wrist CT scans, obtained for any reason, between January 1, 2002, and December 31, 2008, to allow a minimum of 5-year follow-up. Manual measurement of HU on sequential coronal CT slices of the distal ulnar head was taken, and mean values were recorded. Previously determined cutoff values for the diagnosis of low bone mineral density were implemented to stratify patients as at risk or not at risk for future fragility fracture. Medical records were then manually reviewed for the occurrence of any future fragility fracture (hip, spine, proximal humerus, or rib). RESULTS: There were 161 CTs in 157 patients and 34 fragility fractures in 21 patients, with a prevalence of 13.4%. The mean HU in the fragility fracture group was significantly lower (134.2 vs 197.1 HU). The percentage of low HU patients with fragility fractures was significantly higher (22.7% vs 3.8%). The odds ratio for fragility fracture in the low HU group was 7.4 (95% confidence interval, 2.1-26.2). Using previously determined cutoff values, the sensitivity and specificity of distal ulna HU values for identifying patients who would sustain at least 1 future fragility fracture were 85.7% and 55.2%, respectively. CONCLUSIONS: Patients with low distal ulnar HU were significantly more likely to sustain a subsequent fragility fracture. A determination of distal ulnar HUs represents a quick, simple tool to identify patients potentially at risk for fragility fractures. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic IV.

Incidence and Risk Factors for Reoperation Following Meniscal Repair in a Military Population.

The purpose of this study is to determine the reoperation rate following meniscal repair and the associated risk factors. The Military Health System Data Repository was queried for active duty patients between January 2009 and December 2012 undergoing meniscal repair by Current Procedural Terminology code (29882, 29883, and 27403). This cohort was then screened for subsequent procedures following the index procedure. Risk factors for reoperation were calculated using a Cox proportional hazard analysis. A total of 3259 primary meniscal repairs were identified over the study period, of which 1423 (43.7%) were performed in conjunction with anterior cruciate ligament (ACL) reconstruction. The reoperation rate was 13.6%, occurring at a median of 1.1 years following the index procedure. Marine Corps service, younger age (>35), enlisted or cadet rank, and junior rank status were identified as significant risk factors for requiring reoperation. Isolated repairs were significantly more likely to require a secondary procedure than those with concomitant ACL reconstruction. Meniscal repairs performed in the military demonstrate similar reoperation rates as published literature despite increased occupational demands. (Journal of Surgical Orthopaedic Advances 27(1):47-51, 2018).

Green Turtles (Chelonia mydas) Have Novel Asymmetrical Antibodies.

Igs in vertebrates comprise equally sized H and L chains, with exceptions such as H chain-only Abs in camels or natural Ag receptors in sharks. In Reptilia, Igs are known as IgYs. Using immunoassays with isotype-specific mAbs, in this study we show that green turtles (Chelonia mydas) have a 5.7S 120-kDa IgY comprising two equally sized H/L chains with truncated Fc and a 7S 200-kDa IgY comprised of two differently sized H chains bound to L chains and apparently often noncovalently associated with an antigenically related 90-kDa moiety. Both the 200- and 90-kDa 7S molecules are made in response to specific Ag, although the 90-kDa molecule appears more prominent after chronic Ag stimulation. Despite no molecular evidence of a hinge, electron microscopy reveals marked flexibility of Fab arms of 7S and 5.7S IgY. Both IgY can be captured with protein G or melon gel, but less so with protein A. Thus, turtle IgY share some characteristics with mammalian IgG. However, the asymmetrical structure of some turtle Ig and the discovery of an Ig class indicative of chronic antigenic stimulation represent striking advances in our understanding of immunology.

Military personnel sustaining Lisfranc injuries have high rates of disability separation.

OBJECTIVES: Lisfranc injuries are relatively uncommon midfoot injuries disproportionately affecting young, active males. Previous studies in civilian populations have reported relatively good results with operative treatment. However, treatment results have not been specifically examined in military personnel, who may have higher physical demands than the general population. The purpose of this study was to examine rates of return to military duty following surgical treatment of isolated Lisfranc injuries. METHODS: Surgical records and radiographic images from all active duty US military personnel treated for an isolated Lisfranc injury between January 2005 and July 2014 were examined. Demographic information, injury data, surgical details and subsequent return to duty information were recorded. The primary outcome was ability to return to unrestricted military duty following treatment. The secondary outcome was secondary conversion to a midfoot arthrodesis following initial open reduction internal fixation. RESULTS: Twenty-one patients meeting inclusion criteria were identified. Median patient age was 23 years, and mean follow-up was 43 months. Within this cohort, 14 patients were able to return to military service, while seven required a disability separation from the armed forces. Of the 18 patients who underwent initial fixation, eight were subsequently revised to midfoot arthrodesis for persistent pain. DISCUSSION: Military personnel sustaining Lisfranc injuries have high rates of persistent pain and disability, even after optimal initial surgical treatment. Military surgeons should counsel patients on the career-threatening nature of this condition and high rates of secondary procedures.