Acute-on-Chronic Axillary Artery Thrombus After Reverse Total Shoulder Arthroplasty for Failed Proximal Humerus Open Reduction and Internal Fixation: A Case Report.

CASE: A 71-year-old woman presented with post-traumatic arthritis 11 months after open reduction and internal fixation for a left proximal humerus fracture (PHF) dislocation. After revision to reverse total shoulder arthroplasty (rTSA), the patient's left upper extremity was found to be avascular. An emergent thrombectomy was performed with restoration of arterial flow after removal of an acute-on-chronic axillary artery thrombus. CONCLUSION: Although rare, as rTSA becomes more common for management of PHF, incidence of associated vascular injuries is likely to rise. Screening methods and clinical vigilance in diagnosis are advised for patients with anterior PHF dislocations and arterial injury risk factors.

How anatomic should anatomic total shoulder arthroplasty be? Evaluation of humeral head reconstruction with the best-fit circle.

BACKGROUND: Humeral implant designs for anatomic total shoulder arthroplasty (aTSA) focus on anatomic reconstruction of the articular segment. Likewise, the pathoanatomy of advanced glenohumeral osteoarthritis often results in humeral head deformity. We hypothesized the anatomic reconstruction of the humeral head in aTSA risks overstuffing the glenohumeral joint. METHODS: Ninety-seven cases (52 females) of primary glenohumeral osteoarthritis in patients treated with aTSA were evaluated. Preoperative computed tomography scans were used to classify glenoid morphology according to the Walch classification. Coronal plane images in the plane of the humerus were used to determine the anatomic best-fit circle as described by Youderian et al. Humeral head thinning was determined as the distance from the center of rotation of the best-fit circle to the nearest point along the humeral articular surface. aTSA was modeled with a predicted anatomic humeral head and a simulated 4-mm polyethylene glenoid component. The change in the position of the native humerus was determined. Wilcoxon Rank Sum tests were used to evaluate differences in humeral head thinning and humeral lateralization between monoconcave and biconcave glenoid morphologies. Spearman's rank correlation coefficients were used to assess the relationship between humeral head thinning with preoperative active forward elevation and external rotation. RESULTS: The mean radius of the best-fit circle was 25.0 ± 2.1 mm. There was a mean thinning of 2.4 ± 2.0 mm (range -1.7 to 8.3). The mean percent thinning of the humeral head was 9.4% ± 7.7%. The mean humeral lateralization was 6.4 ± 2.0 mm. Humeral head thinning was not significantly associated with active forward elevation (r = -0.15, P = .14) or active external rotation (r = -0.12, P = .25). There were no significant differences in the percentage of humeral head thinning (P = .324) or humeral lateralization (P = .350) between concentric and eccentric glenoid wear patterns. CONCLUSIONS: Utilization of the best-fit circle as a guide in aTSA may risk excessive lateralization of the humerus and overstuffing the glenohumeral joint. This may have implications for subscapularis repair and healing, as well as glenoid implant and rotator cuff longevity. These findings call into question whether recreation of normal glenohumeral anatomy in aTSA is appropriate for all patients. Humeral head reconstruction in aTSA should account for glenohumeral joint volume and soft tissue contracture.

Bilateral Posterior Bone Graft Augmentation for Severe Glenoid Hypoplasia Without Instability: A Case Report.

CASE: A 40-year-old man with shoulder pain secondary to severe bilateral glenoid hypoplasia without posterior instability was treated successfully with bilateral posterior glenoid bone graft augmentation. CONCLUSION: While glenoid hypoplasia is associated with a variety of patient presentations, treatment of the stable and nonarthritic shoulder is rarely described. A posterior glenoid bone graft can be used to augment deficient posterior glenoids, increasing the articulating surface area, restoring function, and potentially facilitating future shoulder arthroplasty.

Incidence of Nerve Transection in Upper Extremity Gunshot Wounds.

INTRODUCTION: Reported rates of nerve injury after upper extremity (UE) gunshot wound (GSW) range from 15% to 45%. Many surgeons prefer initial observation; however, this may delay diagnosis of neurotmesis and surgical treatment. We aimed to determine the incidence of nerve transection in adults after upper extremity GSWs. METHODS: This was a retrospective chart review approved by the institutional review board. Operative records of five orthopedic surgeons between 2014 to 2019 were filtered for ICD-10 and CPT codes cross-referenced to include both UE GSW assault and nerve injuries. Inclusion criteria consisted of age greater than 18 at time of injury, neurologic deficit on presentation, and surgical exploration nerve procedure. Records were reviewed for degree of nerve injury, procedure performed, and complications. Postoperative outcomes included nerve recovery, complications, and reoperation rate. RESULTS: Of the 17 patients that fit the inclusion criteria, the incidence of complete nerve transection was 64.7% and the incidence of a complete or partial nerve transection was 70.6%. The most common location of GSWs was the hand (70.5%). Average time from date of injury to surgery was 26.1 days. There were 14 identifiable nerve injuries-complete transection in 11, partial transection in one, and contusion in two patients. Of patients with nerve transection, 72.7% sustained a fracture. Postoperative complications included stiffness, chronic pain, and wound infection. The re-operation rate was 29.4%. The average postoperative follow-up was 4.4 months. There was longer follow-up among nerve transection patients (5.3 months) compared to neuropraxia patients (2.68 months). CONCLUSION: This study demonstrates a higher incidence of nerve transection in upper extremity GSW patients than previously reported. Predictors of nerve transection are GSWs to the hand and associated fracture.

Opioid Knowledge and Prescribing Preferences of Orthopaedic Surgery Residents Before and After an Educational Intervention.

Orthopaedic surgeons are among the highest prescribers of opioids. This study explores the effect of an educational intervention on orthopaedic surgery residents' opioid knowledge and prescribing practices. Orthopaedic residents were surveyed at three urban academic institutions. A pre-survey was administered to residents prior to an educational lecture and case-based session. This included background on the opioid epidemic, multimodal analgesia, opioid consumption in common orthopaedic procedures, and state laws regulating prescribing. Following this intervention, residents were given a post-survey to complete. There was a significant increase in resident confidence concerning their opioid prescribing training (p = 0.03) and their knowledge of alternative pain management therapies (p = 0.03). This was accompanied by an objective improvement in knowledge of state prescribing laws and of metrics regarding the opioid epidemic. Hypothetical opioid pills prescribed after common orthopaedic procedures decreased between the pre- and post-tests. The educational session significantly improved orthopaedic surgery residents' knowledge about opioids and prescribing habits. Formal resident education on opioid knowledge and evidence-based prescribing strategies is an area of potential improvement to combat the opioid crisis. (Journal of Surgical Orthopaedic Advances 31(1):030-033, 2022).

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.

Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical for public health, especially during the COVID-19 pandemic, as institutions and government agencies rely on death reports to formulate responses to communicable diseases. Unfortunately, determining the causes of death is challenging even for experienced physicians. The novel coronavirus and its variants may further complicate the task, as physicians and experts are still investigating COVID-related complications. To assist physicians in accurately reporting causes of death, an advanced Artificial Intelligence (AI) approach is presented to determine a chronically ordered sequence of conditions that lead to death (named as the causal sequence of death), based on decedent's last hospital discharge record. The key design is to learn the causal relationship among clinical codes and to identify death-related conditions. There exist three challenges: different clinical coding systems, medical domain knowledge constraint, and data interoperability. First, we apply neural machine translation models with various attention mechanisms to generate sequences of causes of death. We use the BLEU (BiLingual Evaluation Understudy) score with three accuracy metrics to evaluate the quality of generated sequences. Second, we incorporate expert-verified medical domain knowledge as constraints when generating the causal sequences of death. Lastly, we develop a Fast Healthcare Interoperability Resources (FHIR) interface that demonstrates the usability of this work in clinical practice. Our results match the state-of-art reporting and can assist physicians and experts in public health crisis such as the COVID-19 pandemic.

Mild thermal stress affects Steinernema carpocapsae infective juvenile survival but not protein content.

Steinernema nematodes and their Xenorhabdus symbionts are a malleable model system to study mutualistic relations. One of the advantages they possess is their ability to be disassociated under in vitro rearing conditions. Various in vitro methods have been developed to produce symbiont colonized and aposymbiotic (symbiont-free) nematodes. Until now, there has been no investigation on how in vitro rearing conditions may have an impact on the storage ability and the protein content of the infective juvenile at different storage temperatures. Thus, in this study, we investigated how infective juvenile longevity and protein content are impacted when the nematodes were reared with two in vitro methods (lipid and liver kidney agar) considering colonized and uncolonized nematodes, and under two different temperatures: 15 °C and 20 °C (mild stress). Infective juveniles reared in vitro (with or without their symbionts) had lower 8-week survival rates. No in vitro reared, colonized IJs survived to the desired 16-week time point. Survival of infective juveniles stored under mild stress temperature (20 °C) was lower than that observed at 15 °C. However, when comparing the interaction between rearing condition and storage temperature, there were not significant differences. With respect to protein content, in vivo, colonized infective juveniles maintained a static protein content over time, suggesting symbiont colonization may influence protein metabolism and/or turnover in infective juveniles.

Hybrid Modeling of Ebola Propagation.

The Ebola virus disease (EVD) epidemic that occurred in West Africa between 2014-16 resulted in over 28,000 cases and 11,000 deaths - one of the deadliest to date. A generalized model of the spatiotemporal progression of EVD for Liberia, Guinea, and Sierra Leone in 2014-16 remains elusive. There is also a disconnect in the literature on which interventions are most effective in curbing disease progression. To solve these two key issues, we designed a hybrid agent-based and compartmental model that switches from one paradigm to the other on a stochastic threshold. We modeled disease progression with promising accuracy using WHO datasets.

Intelligent Mortality Reporting With FHIR.

One pressing need in the area of public health is timely, accurate, and complete reporting of deaths and the diseases or conditions leading up to them. Fast Healthcare Interoperability Resources (FHIR) is a new HL7 interoperability standard for electronic health record, while Sustainable Medical Applications and Reusable Technologies (SMART)-on-FHIR enables third-party app development that can work "out of the box." This paper demonstrates the feasibility of developing SMART-on-FHIR applications that enables medical professionals to perform timely and accurate death reporting within multiple different USA State jurisdictions. We explored how the information on a standard certificate of death can be mapped to resources defined in the FHIR standard Draft Standard for Trial Use Version 2 and common profiles. We also demonstrated analytics for potentially improving the accuracy and completeness of mortality reporting data.

Preoperative Sterilization Preparation of the Shoulder: A Comparative Study Evaluating Gauze Sponge and Commercially Available Applicator Prep Stick.

BACKGROUND: Surgical site infection (SSI) remains a concern in shoulder surgery, especially during arthroplasty. While many studies have explored the characteristics and efficacy of different sterilizing solutions, no study has evaluated the method of application. The purpose of this study was to compare two popular pre-surgical preparatory applications (two 4 x 4 cm gauze sponges and applicator stick) in their ability to cover the skin of the shoulder. METHODS: Two orthopedic surgeons simulated the standard pre-surgical skin preparation on 22 shoulders of volunteer subjects. Each surgeon alternated between an applicator stick and two sterile 4x4 cm gauze sponges. Skin preparation was performed with a commercially available solution that can be illuminated under UV-A light. Advanced image-analysis software was utilized to determine un-prepped areas. A two-tailed paired t-test was performed to compare percentage of un-prepped skin. RESULTS: The applicator stick method resulted in a significantly higher percentage of un-prepped skin (27.25%, Range 10-49.3) than the gauze sponge method (15.37%, Range 5-32.8, P=0.002). Based on image evaluation, most un-prepped areas were present around the axilla. CONCLUSION: Based on our findings, the use of simple gauze sponges for pre-surgical preparatory application of sterilization solution may result in a lower percent of un-prepped skin than commercially available applicator stick. Orthopaedic surgeons and operating room staff should be careful during the pre-surgical sterile preparation of the shoulder, especially the region around the axilla, in order to reduce the potential risk of surgical site infection.Level of evidence: III.

Improving Validity of Cause of Death on Death Certificates.

Accurate reporting of causes of death on death certificates is essential to formulate appropriate disease control, prevention and emergency response by national health-protection institutions such as Center for disease prevention and control (CDC). In this study, we utilize knowledge from publicly available expert-formulated rules for the cause of death to determine the extent of discordance in the death certificates in national mortality data with the expert knowledge base. We also report the most commonly occurring invalid causal pairs which physicians put in the death certificates. We use sequence rule mining to find patterns that are most frequent on death certificates and compare them with the rules from the expert knowledge based. Based on our results, 20.1% of the common patterns derived from entries into death certificates were discordant. The most probable causes of these discordance or invalid rules are missing steps and non-specific ICD-10 codes on the death certificates.

Intelligent Mortality Reporting with FHIR.

One pressing need in the area of public health is timely, accurate, and complete reporting of deaths and the conditions leading up to them. Fast Healthcare Interoperability Resources (FHIR) is a new HL7 interoperability standard for electronic health record (EHR), while Sustainable Medical Applications and Reusable Technologies (SMART)-on-FHIR enables third-party app development that can work "out of the box". This research demonstrates the feasibility of developing SMART-on-FHIR applications to enable medical professionals to perform timely and accurate death reporting within multiple different jurisdictions of US. We explored how the information on a standard certificate of death can be mapped to resources defined in the FHIR standard (DSTU2). We also demonstrated analytics for potentially improving the accuracy and completeness of mortality reporting data.

Photoacoustic Probes for Ratiometric Imaging of Copper(II).

Photoacoustic tomography has emerged as a promising alternative to MRI and X-ray scans in the clinical setting due to its ability to afford high-resolution images at depths in the cm range. However, its utility has not been established in the basic research arena owing to a lack of analyte-specific photoacoustic probes. To this end, we have developed acoustogenic probes for copper(II)-1 and -2 (APC-1 and APC-2, a water-soluble congener) for the chemoselective visualization of Cu(II), a metal ion which plays a crucial role in chronic neurological disorders such as Alzheimer's disease. To detect Cu(II), we have equipped both APCs with a 2-picolinic ester sensing module that is readily hydrolyzed in the presence of Cu(II) but not by other divalent metal ions. Additionally, we designed APC-1 and APC-2 explicitly for ratiometric photoacoustic imaging by using an aza-BODIPY dye scaffold exhibiting two spectrally resolved NIR absorbance bands which correspond to the 2-picolinic ester capped and uncapped phenoxide forms. The normalized ratiometric turn-on responses for APC-1 and APC-2 were 89- and 101-fold, respectively.

Factors that affect radiofrequency heat lesion size.

OBJECTIVE: This study aims to compare radiofrequency (RF) heat lesion size across electrodes and generator settings available for interventional pain management. METHODS: Monopolar lesions are generated ex vivo in animal tissue using sharp cannulae with tip diameters 23, 22, 20, 18, 16 gauge; tip lengths 5, 6, 10, 15 mm; set temperatures 60, 70, 80, 90°C; set times 1, 1.5, 2, 3, 5, 10 minutes. Lesions are generated using the RRE electrode, cooled RF, and parallel-tip bipolar RF for comparison. Lesion sizes are assessed by automated photographic temperature inference from over 400 lesions, using multiple lesions per configuration. RESULTS: Monopolar lesion width and length increase with each factor (P < 0.001). Increasing cannula diameter from 22 to 16 gauge increases average lesion width 58-65% (3-4 mm) at 80°C and 2 minutes. Increasing temperature from 60°C to 90°C increases lesion width 108-152% at 2 minutes. Although dimensions grow most rapidly over the first minute, average lesion width is 11-20% larger at 2 minutes, and 23-32% larger at 3 minutes, compared with 1 minute. Lesion length extends distal and proximal to the tip, and exceeds tip length by 1-5 mm at 80°C and 2 minutes. Conventional 16 gauge cannulae at 80-90°C for 2-3 minutes generate lesions of average width similar to that produced by the cooled RF configuration proposed for sacroiliac joint denervation. Bipolar RF between parallel cannulae produces a rounded brick-shaped lesion of comparable shape to three sequential monopolar lesions generated using the same cannulae and generator settings. CONCLUSIONS: Tip gauge, tip length, temperature, and time substantially affect RF lesion size.

Comparison of normalization algorithms for cross-batch color segmentation of histopathological images.

Automated processing of digital histopathology slides has the potential to streamline patient care and provide new tools for cancer classification and grading. Before automatic analysis is possible, quality control procedures are applied to ensure that each image can be read consistently. One important quality control step is color normalization of the slide image, which adjusts for color variances (batch-effects) caused by differences in stain preparation and image acquisition equipment. Color batch-effects affect color-based features and reduce the performance of supervised color segmentation algorithms on images acquired separately. To identify an optimal normalization technique for histopathological color segmentation applications, five color normalization algorithms were compared in this study using 204 images from four image batches. Among the normalization methods, two global color normalization methods normalized colors from all stain simultaneously and three stain color normalization methods normalized colors from individual stains extracted using color deconvolution. Stain color normalization methods performed significantly better than global color normalization methods in 11 of 12 cross-batch experiments (p<;0.05). Specifically, the stain color normalization method using k-means clustering was found to be the best choice because of high stain segmentation accuracy and low computational complexity.