Hyperspectral dark-field microscopy of human breast lumpectomy samples for tumor margin detection in breast-conserving surgery.

Significance: Hyperspectral dark-field microscopy (HSDFM) and data cube analysis algorithms demonstrate successful detection and classification of various tissue types, including carcinoma regions in human post-lumpectomy breast tissues excised during breast-conserving surgeries. Aim: We expand the application of HSDFM to the classification of tissue types and tumor subtypes in pre-histopathology human breast lumpectomy samples. Approach: Breast tissues excised during breast-conserving surgeries were imaged by the HSDFM and analyzed. The performance of the HSDFM is evaluated by comparing the backscattering intensity spectra of polystyrene microbead solutions with the Monte Carlo simulation of the experimental data. For classification algorithms, two analysis approaches, a supervised technique based on the spectral angle mapper (SAM) algorithm and an unsupervised technique based on the K-means algorithm are applied to classify various tissue types including carcinoma subtypes. In the supervised technique, the SAM algorithm with manually extracted endmembers guided by H&E annotations is used as reference spectra, allowing for segmentation maps with classified tissue types including carcinoma subtypes. Results: The manually extracted endmembers of known tissue types and their corresponding threshold spectral correlation angles for classification make a good reference library that validates endmembers computed by the unsupervised K-means algorithm. The unsupervised K-means algorithm, with no a priori information, produces abundance maps with dominant endmembers of various tissue types, including carcinoma subtypes of invasive ductal carcinoma and invasive mucinous carcinoma. The two carcinomas' unique endmembers produced by the two methods agree with each other within <2% residual error margin. Conclusions: Our report demonstrates a robust procedure for the validation of an unsupervised algorithm with the essential set of parameters based on the ground truth, histopathological information. We have demonstrated that a trained library of the histopathology-guided endmembers and associated threshold spectral correlation angles computed against well-defined reference data cubes serve such parameters. Two classification algorithms, supervised and unsupervised algorithms, are employed to identify regions with carcinoma subtypes of invasive ductal carcinoma and invasive mucinous carcinoma present in the tissues. The two carcinomas' unique endmembers used by the two methods agree to <2% residual error margin. This library of high quality and collected under an environment with no ambient background may be instrumental to develop or validate more advanced unsupervised data cube analysis algorithms, such as effective neural networks for efficient subtype classification.

Cumulative tenofovir exposure among patients with human immunodeficiency virus/hepatitis B co-infection with differential viral suppression.

This case-control study explored cumulative tenofovir exposure among patients with HIV/HBV co-infection with HIV viral suppression. Among patients taking tenofovir disoproxil fumarate, median TFV-DP levels in dried blood spots were ∼3-fold lower among patients with incomplete HBV viral suppression (n=4) compared to those with complete suppression (n=5) (516 vs.1456 fmol/punch).

PROJECT PREVENT: a randomized controlled trial of preoperative vaginal metronidazole to decrease patient issues and infections after hysterectomy.

Objectives: To evaluate if vaginal metronidazole for 5 days before hysterectomy decreases postoperative infections and patient issues. Design: This randomized trial compared vaginal metronidazole for 5 days before a scheduled hysterectomy to no intervention. Sample size calculation was based on a 20% difference in issues and infection (30% incidence and 10% in the intervention arm) with 80% power and an alpha error of 0.05 and indicated 62 subjects needed in each arm. Setting: Outpatient gynecology clinics at a single academic institution. Participants: 154 subjects were screened for eligibility between July 2020 and September 2022. 133 underwent hysterectomy including 68 subjects (51.1%) randomized to the metronidazole and 65 (48.9%) controls. Overall, the population was racially and ethnically diverse. There was no significant difference in characteristics between the two groups. Interventions: Vaginal metronidazole for 5 days before hysterectomy. Main outcome measures: Postoperative patient issues and documented postoperative infections at 4-8 weeks after surgery. Results: There was no difference in the composite rate of patient-reported issues and/or documented postoperative infection (53/133 (39.8%) with no difference between groups (29/68 (42.6%) vs 24/65 (36.9%), p=0.50). There was no difference in patient-reported issues which was 51/133 (38.3%) with no difference between groups (28/68 (41.2%) vs 23/65 (33.8%), p=0.49) or in documented infections with a rate of 25/133 (18.8%) with no significant difference between groups (15/68 (22.0%) vs 10/65 (15.4%), p=0.33). In the intervention arm, the compliance rate was 73.5% for all 5 days of vaginal metronidazole, and a per-protocol analysis was performed which resulted in no significant difference between groups. Conclusions: There is insufficient evidence to suggest a significant benefit of preoperative vaginal metronidazole to prevent surgical site infections and postoperative patient issues in patients undergoing hysterectomy. Trial registration number: ClinicalTrials.gov, NCT04478617.

De-biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.

Health disparities among marginalized populations with lower socioeconomic status significantly impact the fairness and effectiveness of healthcare delivery. The increasing integration of artificial intelligence (AI) into healthcare presents an opportunity to address these inequalities, provided that AI models are free from bias. This paper aims to address the bias challenges by population disparities within healthcare systems, existing in the presentation of and development of algorithms, leading to inequitable medical implementation for conditions such as pulmonary embolism (PE) prognosis. In this study, we explore the diversity of biases in healthcare systems, which highlights the need for a holistic framework to reduce bias by complementary aggregation. By leveraging de-biasing deep survival prediction models, we propose a framework that disentangles identifiable information from images, text reports, and clinical variables to mitigate potential biases within multimodal datasets. Our study offers several advantages over traditional clinical-based survival prediction methods, including richer survival-related characteristics and bias-complementary predicted results. By improving the robustness of survival analysis through this framework, we aim to benefit patients, clinicians, and researchers by improving fairness and accuracy in healthcare AI systems. The code is available at https://github.com/zzs95/fairPE-SA.

A Systematic Review of Ophthalmology Education in Medical Schools: The Global Decline.

TOPIC: This systematic review examined geographical and temporal trends in medical school ophthalmology education in relationship to course and student outcomes. CLINICAL RELEVANCE: Evidence suggesting a decline in ophthalmology teaching in medical schools is increasing, raising concern for the adequacy of eye knowledge across the rest of the medical profession. METHODS: Systematic review of Embase and SCOPUS, with inclusion of studies containing data on medical school ophthalmic course length; 1 or more outcome measures on student ophthalmology knowledge, skills, self-evaluation of knowledge or skills, or student course appraisal; or both. The systematic review was registered prospectively on the International Prospective Register of Systematic Reviews (identifier, CRD42022323865). Results were aggregated with outcome subgroup analysis and description in relationship to geographical and temporal trends. Descriptive statistics, including nonparametric correlations, were used to analyze data and trends. RESULTS: Systematic review yielded 4596 publication titles, of which 52 were included in the analysis, with data from 19 countries. Average course length ranged from 12.5 to 208.7 hours, with significant continental disparity among mean course lengths. Africa reported the longest average course length at 103.3 hours, and North America reported the shortest at 36.4 hours. On average, course lengths have been declining over the last 2 decades, from an average overall course length of 92.9 hours in the 2000s to 52.9 hours in the 2020s. Mean student self-evaluation of skills was 51.3%, and mean student self-evaluation of knowledge was 55.4%. Objective mean assessment mark of skills was 57.5% and that of knowledge was 71.7%, compared with an average pass mark of 66.7%. On average, 26.4% of students felt confident in their ophthalmology knowledge and 34.5% felt confident in their skills. DISCUSSION: Most evidence describes declining length of courses devoted to ophthalmology in the last 20 years, significant student dissatisfaction with courses and content, and suboptimal knowledge and confidence. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Rotator Cuff Tears to Shoulder Instability: The Relationship Between Acromial Morphology and Shoulder Pathology.

¼ The acromion is a well-studied region of the scapula that has demonstrated substantial relationships to various shoulder pathologies.¼ Abnormal acromial morphology is associated with rotator cuff pathology, and our understanding of this risk factor inspired acromioplasty as an adjunctive treatment for rotator cuff tears.¼ The acromion is linked closely to shoulder kinematics and biomechanics, as it serves as the origin for the deltoid muscle.¼ In degenerative shoulder disease, eccentric glenohumeral osteoarthritis has been associated with a higher, flatter acromial roof.¼ Increasing literature is emerging connecting morphology of the acromion with shoulder instability.

Facial injuries in the National Basketball Association: 2013-14 through 2017-18.

OBJECTIVE: To describe the epidemiology, mechanisms, treatment, and disability for facial injuries in National Basketball Association (NBA) athletes. METHODS: This was a retrospective descriptive epidemiological chart review using NBA Electronic Medical Record (EMR) system. Responses to injuries reported in games, practices, and other activities were used for all data analysis, except for game incidence rates. Incidence rates were calculated by the game-related facial injury incidence per total athlete exposure (player-games). RESULTS: There were 440 facial injuries among 263 athletes during the 5 NBA seasons with an overall single-season risk of 12.6% and a game incidence of 2.4 per 1000 athlete-exposures (95% CI: 2.18-2.68). The majority of injuries were lacerations (n = 159, 36.1%), contusions (n = 99, 22.5%), or fractures (n = 67, 15.2%), with ocular (n = 163, 37.0%) being the most commonly injured location. Sixty (13.6%) injuries resulted in at least one NBA game missed (224 cumulative player-games) with ocular injuries resulting in the most cumulative games missed (n = 167, 74.6%). Nasal fractures (n = 39, 58.2%) were the most common fracture location followed by ocular fractures (n = 12, 17.9%) but were less likely to lead to games missed (median = 1, IRQ: 1-3) than ocular (median = 7, IQR: 2-10) fractures. CONCLUSIONS: An average of one in eight NBA players sustained a facial injury each season with ocular injuries being the most common location. While most facial injuries are minor, serious injuries, especially ocular fractures, can result in games missed.

A 7-year analysis of attributable costs of healthcare-associated infections in a network of community hospitals in the southeastern United States.

We calculated the attributable cost of several healthcare-associated infections in a community hospital network: central-line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), hospital-onset Clostridioides difficile infections (CDI-HOs) (43 hospitals); surgical site infections (SSIs) (40 hospitals). From 2016 to 2022, the total cost of CLABSIs, CAUTIs, CDI-HOs, and SSIs was $420,012,025.

Shoulder Adhesive Capsulitis Prior to Total Knee Arthroplasty is Associated With Increased Rates of Postoperative Stiffness Requiring Manipulation Under Anesthesia and Arthroscopic Lysis of Adhesions.

BACKGROUND: Arthrofibrosis following total knee arthroplasty (TKA) and adhesive capsulitis (AC) of the shoulder develop via a similar pathologic process. The purpose of this study was to examine the relationship between these two conditions. METHODS: This was a retrospective cohort study using a large nationwide claims database. Patients who had a history of shoulder AC prior to TKA were compared to TKA patients who did not have AC history comparing rates of postoperative stiffness, manipulation under anesthesia (MUA), arthroscopic lysis of adhesions (LOAs), and revision arthroplasty at postoperative timepoints (3 months, 6 months, 1 year, and 2 years). RESULTS: Within 3 months, 6 months, 1 year, and 2 years of their TKAs, patients who had a history of AC prior to TKA were significantly more likely to experience stiffness (OR [odds ratio] = 1.29, 1.28, 1.32, and 1.36, respectively) and LOAs (OR = 6.78, 3.65, 2.99, and 2.81, respectively). They also showed increased risk of MUA within 6 months, 1 year, and 2 years (OR = 1.15, 1.15, and 1.16, respectively) of their TKAs. Patients having a preoperative diagnosis of AC did not have an increased risk of undergoing revision surgery 1 year or 2 years after their TKAs (P > .05). CONCLUSIONS: Patients diagnosed with AC prior to TKA experience higher rates of postoperative stiffness, resulting in additional interventions such as MUA and LOAs. These findings identify a particularly high-risk patient population that may benefit from additional interventions prior to and following TKA. LEVEL OF EVIDENCE: This is a level III prognostic study.

Risk Factors for Recurrence of Community-Onset Urinary Tract Infections Caused by Extended-Spectrum Cephalosporin-Resistant Enterobacterales.

Background: Extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE) are an increasingly important cause of community-onset urinary tract infections (UTIs), including recurrent infections. We evaluated risk factors for recurrence among patients with community-onset ESCrE UTI. Methods: This retrospective cohort study included adults with community-onset ESCrE UTI in the Duke University Health System from April 2018 through December 2021. ESCrE UTI recurrence by the same species was assessed 14-180 days (ie, 6 months) after completion of antibiotic treatment. We evaluated the relationships between candidate risk factors and time to recurrence using Cox proportional hazards regression models. Results: Among 1347 patients with community-onset ESCrE UTI, 202 (15.0%) experienced recurrent infection during the 6-month follow-up period. Independent risk factors for recurrence included neurogenic bladder (adjusted hazard ratio [aHR], 1.8 [95% confidence interval {CI}, 1.2-2.6]; P = .005), prior history of UTI (aHR, 2.4 [95% CI, 1.7-3.3]; P < .001), and fluoroquinolone nonsusceptibility of the index UTI (aHR, 1.5 [95% CI, 1.1-2.1]; P = .02). Klebsiella pneumoniae infection was associated with recurrence in univariate analysis (HR, 1.6 [95% CI, 1.1-2.1]; P = .007) but not multivariate analysis (aHR, 1.4 [95% CI, 1.0-1.9]; P = .06). Inappropriate initial or definitive antibiotic therapy was not predictive of ESCrE UTI recurrence. Conclusions: Recurrence of community-onset ESCrE UTI was common and associated with several patient and pathogen-level risk factors. Future studies should evaluate microbial risk factors for recurrence and improve the management of ESCrE UTI.

Oral Nicotinamide for Actinic Keratosis Prevention in Kidney Transplant Recipients: A Pilot Double-Blind, Randomized, Placebo-Controlled Trial.

BACKGROUND: Oral nicotinamide (NAM) has shown promise in preventing actinic keratoses (AKs) in trials based outside of the United States. We assessed the efficacy of oral NAM supplementation in kidney transplant recipients with a history of keratinocyte carcinoma. MATERIAL AND METHODS: Patients enrolled in a 2-week run-in phase, during which NAM 1000 mg was taken twice daily. After a washout period, patients who tolerated the run-in phase were randomized to NAM 500 mg twice daily or placebo. At baseline, 4, 8, and 12 months, dermatologists conducted full-body skin exams to document area-specific AKs. Routine lab work was collected to ensure the stability of renal allograft function. RESULTS: The dosage was reduced from 1000 to 500 mg due to gastrointestinal symptoms in the run-in phase. Patients were randomized to NAM (n = 10) or placebo (n = 11). At 12 months, mean AK count was 30.8 (95% CI -11.7-73.4) for NAM and 26.6 (95% CI 10.8-42.5) for placebo. The difference in percent AK count change at 12 months compared with baseline was 259.8% (95% CI -385.9 to 905.5) for NAM and 72.4% (95% CI -118.6 to 263.5) for placebo. The between-group difference in percent AK change was not significant (P = .38). There was no attrition in the placebo group and 40% attrition in the NAM arm. DISCUSSION: Nicotinamide did not decrease AK development among kidney transplant recipients. Limitations include drug tolerability, small sample size, and single-center trial nature.

Associations between season, climate, and pediatric alopecia areata flares in Providence, Rhode Island.

Patients with alopecia areata (AA) may experience episodic hair loss that follows seasonal patterns. To assess associations between seasonal variation, climate factors, and AA flare frequency in pediatric AA patients, we performed a retrospective chart review of 123 pediatric AA patients at Brown Dermatology (Providence, Rhode Island) who experienced hair loss between January 2017 and December 2019. We assessed association of seasonal variation with monthly occurrence of AA flares. We then assessed association between climate variables and monthly AA hair loss frequency using Spearman rank correlation analyses. We conducted stratified analyses in patients with and without history of atopy. The greatest proportion of hair loss episodes occurred in winter (28.1%), followed by autumn (26.3%), spring (23.8%), and summer (21.7%). We found significant correlations between AA hair loss frequency and air pressure (R = 0.61) and hours of sunlight (R = - 0.60). These correlations remained significant among patients with no history of atopic disease but were not significant among those with history of atopy. Limitations include small sample size. This regional analysis supports the role of climate in AA hair loss episodes through assessment of seasonal occurrences and identification of correlations between climate characteristics and AA flare frequency.

Adult Spinal Deformity Correction in Patients with Parkinson Disease: Assessment of Surgical Complications, Reoperation, and Cost.

BACKGROUND: Parkinson disease (PD) is a neurodegenerative disorder that manifests with postural instability and gait imbalance. Correction of spinal deformity in patients with PD presents unique challenges. METHODS: The PearlDiver database was queried between 2010 and 2020 to identify adult patients with spinal deformity before undergoing deformity correction with posterior spinal fusion. Two cohorts were created representing patients with and without a preoperative diagnosis of PD. Outcome measures included reoperation rates, surgical technique, cost, surgical complications, and medical complications. Multivariable logistic regression adjusting for Charlson Comorbidity Index, age, gender, 3-column osteotomy, pelvic fixation, and number of levels fused was used to assess rates of reoperation and complications. RESULTS: In total, 26,984 patients met the inclusion criteria and were retained for analysis. Of these patients, 725 had a diagnosis of PD before deformity correction. Patients with PD underwent higher rates of pelvic fixation (odds ratio [OR], 1.33; P < 0.001) and 3-column osteotomies (OR, 1.53; P < 0.001). On adjusted regression, patients with PD showed increased rates of reoperation at 1 year (OR, 1.37; P < 0.001), 5 years (OR, 1.32; P < 0.001), and overall (OR, 1.33; P < 0.001). Patients with PD also experienced an increased rate of medical complications within 30 days after deformity correction including deep venous thrombosis (OR, 1.60; P = 0.021), pneumonia (OR, 1.44; P = 0.039), and urinary tract infections (OR, 1.54; P < 0.001). Deformity correction in patients with PD was associated with higher 90-day cost (P = 0.007). CONCLUSIONS: Patients with PD undergoing long fusion for deformity correction are at significantly increased risk of 30-day medical complications and revision procedures after 1 year, controlling for comorbidities, age, and invasiveness. Surgeons should consider the risk of complications, subsequent revision procedures, and increased cost.

A Bibliometric Analysis of the Most Cited Research on Humeral Avulsions of the Glenohumeral Ligament: A Paucity of High-Level Evidence.

Purpose: To identify the 25 most-cited articles on humeral avulsion of the glenohumeral ligament (HAGL) lesions and characterize them based on number of citations, citation density, source journal, year of publication, geographic origin, article type, and level of evidence. Methods: The Science Citation Index Expanded database was queried for all possible publications regarding HAGL lesions. The 25 most-cited articles from 1976 to 2021 relevant to the topic were selected for further analysis. Articles were characterized based on the number of citations, citation density, year of publication, source journal, country of origin, article type, article subtype, and level of evidence. Results: The number of citations for individual articles ranged from 21 to 182 (mean ± standard deviation: 44.72 ± 36.87). Ten countries contributed to the 25 most cited articles, with 14 of the 25 (56%) articles published in the United States. Furthermore, the top 25 cited articles were published in 9 journals, with the majority in Arthroscopy-The Journal of Arthroscopic and Related Surgery (n = 15, 60%). There were 15 (60%) articles classified as "Clinical," 9 (36%) as "Review/Expert Opinion," and 1 (4%) as "Basic Science." All clinical studies met the standard for level IV evidence. Conclusions: This bibliometric analysis provides a list of the 25 most cited articles related to HAGL lesions, providing a reference of impactful articles for medical educators. The lack of high level of evidence "Clinical" studies demonstrates that higher-quality research is needed to establish guidelines for the treatment and management of HAGL lesions. Clinical Relevance: A list of the 25 most-cited articles regarding recurrent glenohumeral instability can serve as a comprehensive reference for practitioners, educators, researchers, and orthopaedic trainees.

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information.

Deep convolutional neural networks (DCNNs) have shown promise in brain tumor segmentation from multi-modal MRI sequences, accommodating heterogeneity in tumor shape and appearance. The fusion of multiple MRI sequences allows networks to explore complementary tumor information for segmentation. However, developing a network that maintains clinical relevance in situations where certain MRI sequence(s) might be unavailable or unusual poses a significant challenge. While one solution is to train multiple models with different MRI sequence combinations, it is impractical to train every model from all possible sequence combinations. In this paper, we propose a DCNN-based brain tumor segmentation framework incorporating a novel sequence dropout technique in which networks are trained to be robust to missing MRI sequences while employing all other available sequences. Experiments were performed on the RSNA-ASNR-MICCAI BraTS 2021 Challenge dataset. When all MRI sequences were available, there were no significant differences in performance of the model with and without dropout for enhanced tumor (ET), tumor (TC), and whole tumor (WT) (p-values 1.000, 1.000, 0.799, respectively), demonstrating that the addition of dropout improves robustness without hindering overall performance. When key sequences were unavailable, the network with sequence dropout performed significantly better. For example, when tested on only T1, T2, and FLAIR sequences together, DSC for ET, TC, and WT increased from 0.143 to 0.486, 0.431 to 0.680, and 0.854 to 0.901, respectively. Sequence dropout represents a relatively simple yet effective approach for brain tumor segmentation with missing MRI sequences.

Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout.

Objective. Radiation therapy for head and neck (H&N) cancer relies on accurate segmentation of the primary tumor. A robust, accurate, and automated gross tumor volume segmentation method is warranted for H&N cancer therapeutic management. The purpose of this study is to develop a novel deep learning segmentation model for H&N cancer based on independent and combined CT and FDG-PET modalities.Approach. In this study, we developed a robust deep learning-based model leveraging information from both CT and PET. We implemented a 3D U-Net architecture with 5 levels of encoding and decoding, computing model loss through deep supervision. We used a channel dropout technique to emulate different combinations of input modalities. This technique prevents potential performance issues when only one modality is available, increasing model robustness. We implemented ensemble modeling by combining two types of convolutions with differing receptive fields, conventional and dilated, to improve capture of both fine details and global information.Main Results. Our proposed methods yielded promising results, with a Dice similarity coefficient (DSC) of 0.802 when deployed on combined CT and PET, DSC of 0.610 when deployed on CT, and DSC of 0.750 when deployed on PET.Significance. Application of a channel dropout method allowed for a single model to achieve high performance when deployed on either single modality images (CT or PET) or combined modality images (CT and PET). The presented segmentation techniques are clinically relevant to applications where images from a certain modality might not always be available.

Artificial intelligence and body composition.

AIMS: Although obesity is associated with chronic disease, a large section of the population with high BMI does not have an increased risk of metabolic disease. Increased visceral adiposity and sarcopenia are also risk factors for metabolic disease in people with normal BMI. Artificial Intelligence (AI) techniques can help assess and analyze body composition parameters for predicting cardiometabolic health. The purpose of the study was to systematically explore literature involving AI techniques for body composition assessment and observe general trends. METHODS: We searched the following databases: Embase, Web of Science, and PubMed. There was a total of 354 search results. After removing duplicates, irrelevant studies, and reviews(a total of 303), 51 studies were included in the systematic review. RESULTS: AI techniques have been studied for body composition analysis in the context of diabetes mellitus, hypertension, cancer and many specialized diseases. Imaging techniques employed for AI methods include CT (Computerized Tomography), MRI (Magnetic Resonance Imaging), ultrasonography, plethysmography, and EKG(Electrocardiogram). Automatic segmentation of body composition by deep learning with convolutional networks has helped determine and quantify muscle mass. Limitations include heterogeneity of study populations, inherent bias in sampling, and lack of generalizability. Different bias mitigation strategies should be evaluated to address these problems and improve the applicability of AI to body composition analysis. CONCLUSIONS: AI assisted measurement of body composition might assist in improved cardiovascular risk stratification when applied in the appropriate clinical context.

Beta-lactam-resistant Staphylococcus aureus in spinal osteomyelitis and spondylodiscitis: current landscape in antibiotic resistance, treatment, and complications.

OBJECTIVE: Spinal osteomyelitis and spondylodiscitis (SD) are infections of the vertebral body and disc, respectively, with more than 50% associated with Staphylococcus aureus. Methicillin-resistant S. aureus (MRSA) has become a pathogen of interest in cases of SD due to increasing prevalence. The purpose of this investigation was to characterize the current epidemiological and microbiological landscape in SD cases, in addition to medical and surgical challenges in treating these infections. METHODS: The PearlDiver Mariner database was queried for ICD-10 codes to identify cases of SD from 2015 to 2021. The initial cohort was stratified by offending pathogens, including methicillin-sensitive S. aureus (MSSA) and MRSA. Primary outcome measures included epidemiological trends, demographics, and rates of surgical management. Secondary outcomes included length of hospital stay, rate of reoperation, and complications associated with surgical cases. Multivariable logistic regression was used to control for age, gender, region, and Charlson Comorbidity Index (CCI). RESULTS: Nine thousand nine hundred eighty-three patients met the inclusion criteria and were retained for this study. Approximately half (45.5%) of SD cases resulting from S. aureus infections each year were resistant to beta-lactam antibiotics. The proportion of cases that were managed surgically was 31.02%. Among the cases that involved surgical intervention, 21.83% underwent revision operations within 30 days of the original procedure and 37.29% of cases returned to the operating room within 1 year. Substance abuse, specifically alcohol, tobacco, and drug use, were strong predictors for surgical intervention in cases of SD (all p < 0.001), in addition to obesity (p = 0.002), liver disease (p < 0.001), and valvular disease (p = 0.025). After adjusting for age, gender, region, and CCI, cases of MRSA were more likely to undergo surgical management (OR 1.19, p = 0.003). MRSA SD also exhibited higher rates of reoperation within 6 months (OR 1.29, p = 0.001) and 1 year (OR 1.36, p < 0.001). Surgical cases resulting from MRSA infections also exhibited higher morbidity and significant rates of transfusion (OR 1.47, p = 0.030), acute kidney injury (OR 1.35, p = 0.001), pulmonary embolism (OR 1.44, p = 0.030), pneumonia (OR 1.49, p = 0.002), and urinary tract infection (OR 1.45, p = 0.002) compared with MSSA SD infections. CONCLUSIONS: More than 45% of cases of S. aureus SD in the US are resistant to beta-lactam antibiotics, presenting obstacles in treatment. Cases of MRSA SD are more likely to be managed surgically and have higher rates of complications and reoperations. Early detection and prompt operative management are imperative to reduce the risk of complications.