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.

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 diverse bias in healthcare systems, which highlights the demand for a holistic framework to reducing 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 enhancing fairness and accuracy in healthcare AI systems.

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.

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.

Burn patients with history of kidney transplant experience increased incidence of wound infection.

OBJECTIVE: To determine if history of kidney transplant is an independent risk factor for increased incidence of wound infection and other morbidities in burn patients. BACKGROUND: While the goal of immunosuppression post-organ transplantation is to prevent graft rejection, it is often associated with significant adverse effects such as increased susceptibility to infection, drug toxicity, and malignancy. Burn injuries lead to a dysregulated hypermetabolic state and a compromised cutaneous barrier, which predisposes to infection and delayed wound healing. We surmise that a history of kidney transplant increases the risk of wound infection in in-hospital burn victims. METHODS: A retrospective analysis was performed on 57,948 adults diagnosed in-hospital with a burn injury between 2008-2014, obtained from the Nationwide Inpatient Sample (NIS) by Healthcare Cost and Utilization Project (HCUP). RESULTS: 103 burn victims (0.2%) with a history of kidney transplant (KTX) were identified. Compared to burn patients without a history of transplant (No-KTX), they were older (54.3 ± 13.8 vs 49.8 ± 18.7; p = 0.001), more likely be insured under Medicare (69.9% vs 31.1%; p < 0.001), and less likely to have Medicaid (5.8% vs 17.2%; p = 0.002). Higher in-hospital mortality index scores were observed in KTX compared to no-KTX with p < 0.001. The incidence rates of complications such as wound infection (33.0 vs 16.3; p < 0.001) and acute renal failure (18.4 vs 7.7; p < 0.001) were significantly higher in the KTX group. After adjusting for confounding factors in multivariable analysis, the incidence of wound infection remained significantly higher. Burn patients with history of KTX were not more likely to be treated at a transplant (TX) center. TX centers were determined to have higher mortality rate, longer length of stay, and higher total hospital charges. CONCLUSION: History of kidney transplant is an independent risk factor for increased incidence of wound infection in burn patients.

Impact of sex, androgens, and prostate size on C57BL/6J mouse urinary physiology: functional assessment.

Laboratory mice are used to identify causes of urinary dysfunction including prostate-related mechanisms of lower urinary tract symptoms. Effective use of mice for this purpose requires a clear understanding of molecular, cellular, anatomic, and endocrine contributions to voiding function. Whether the prostate influences baseline voiding function has not been specifically evaluated, in part because most methods that alter prostate mass also change circulating testosterone concentrations. We performed void spot assay and cystometry to establish a multiparameter "baseline" of voiding function in intact male and female 9-wk-old (adult) C57BL/6J mice. We then compared voiding function in intact male mice to that of castrated male mice, male (and female) mice treated with the steroid 5α-reductase inhibitor finasteride, or male mice harboring alleles (Pbsn4cre/+; R26RDta/+) that significantly reduce prostate lobe mass by depleting prostatic luminal epithelial cells. We evaluated aging-related changes in male urinary voiding. We also treated intact male, castrate male, and female mice with exogenous testosterone to determine the influence of androgen on voiding function. The three methods used to reduce prostate mass (castration, finasteride, and Pbsn4cre/+; R26RDta/+) changed voiding function from baseline but in a nonuniform manner. Castration feminized some aspects of male urinary physiology (making them more like intact female mice) while exogenous testosterone masculinized some aspects of female urinary physiology (making them more like intact male mice). Our results provide evidence that circulating testosterone is responsible in part for baseline sex differences in C57BL/6J mouse voiding function while prostate lobe mass in young, healthy adult mice has a lesser influence.

HIV Preexposure Prophylaxis Implementation at Local Health Departments: A Statewide Assessment of Activities and Barriers.

BACKGROUND: Expanding access to HIV preexposure prophylaxis (PrEP) could help reduce rates of HIV infection in the United States. This study characterizes activities and barriers to PrEP implementation at local health departments (LHDs) in North Carolina (NC), which contains a large rural population. METHODS: In May 2016, a web-based survey was distributed to health directors of all county and district health departments in NC to assess PrEP-related activities, perceived barriers to PrEP implementation, and desired PrEP-related resources. RESULTS: Of 85 LHDs in NC, 56 (66%) responded to the survey. Of these, 2 (4%) reported PrEP prescribing and 7 (13%) externally referred for PrEP services. Among the 54 departments not prescribing PrEP, the most frequently cited reasons were cost concerns (n = 25, 46%), lack of formal prescribing protocols (n = 21, 39%), and belief that PrEP would be better managed at primary care or specialty clinics (n = 19, 35%). Among the 47 departments not prescribing or referring clients for PrEP, the most frequently cited reasons for the lack of PrEP referral were the absence of local PrEP providers (n = 29, 62%), lack of PrEP knowledge among staff (n = 13, 28%), and perceived lack of PrEP candidates (n = 12, 26%). The most frequently requested PrEP-related resources included training to help identify PrEP candidates (n = 39, 70%) and training on PrEP prescribing and management (n = 38, 68%). CONCLUSIONS: PrEP prescribing and referral among LHDs in NC remains extremely limited. Increased PrEP-related training and support for LHD-based providers could enhance PrEP access, especially in rural and underserved areas.