Examining the Relationship Between Local Governmental Expenditures on the Social Determinants of Health and County-Level Overdose Deaths, 2017-2020.

CONTEXT: Prior studies have examined the social determinants of health (SDOH) characteristics of counties with elevated rates of overdose deaths. However, this research often ignores variation in upstream governmental investment in these SDOH categories. OBJECTIVE: To examine the association of local governmental investments in SDOH with drug overdose mortality at the county level, controlling for demographic and socioeconomic characteristics. DESIGN: Longitudinal analysis from 2017 to 2020. SETTING: United States counties. PARTICIPANTS: 3126 counties. MAIN OUTCOME AND MEASURES: The primary study outcome was county overdose death rates per 100 000 population taken from the Centers for Disease Control and Prevention. The main predictor of interest was the per capita average of local governmental expenditures in public health, social service, and education drawn from the U.S. Census of Governments, categorized into quartiles. Covariates included county-level socioeconomic and demographic characteristics as well as county-level SUD services from the AHRQ SDOH Database. RESULTS: In longitudinal multivariate linear regression models with state and year fixed effects, counties in the highest 3 quartiles of SDOH spending had significantly lower rates of overdose deaths compared with counties in the lowest quartile of SDOH spending; in particular, counties in quartile 2 had an average of 9.09 fewer overdose deaths per 100 000 population (95% CI: -12.58, -5.60), counties in quartile 3 had an average of 13.18 fewer deaths per 100 000 population (95% CI: -17.56; -8.80), and counties in quartile 4 had an average of 13.92 deaths per 100 000 population (95% CI: -19.16, -8.68). CONCLUSIONS: Our findings demonstrate that higher levels of local governmental investments in SDOH were associated with significantly lower rates of overdose death in U.S. counties after controlling for socioeconomic and demographic characteristics. Going forward, research should focus on determining causality in this relationship, the mechanisms through which this relationship occurs, as well as assess the impact of local public health expenditures allocated toward SUD prevention and treatment specifically on substance use outcomes at the local level.

Intracellular pyruvate as one of the major bioactive substances of lactic acid bacteria isolated from kimchi.

The present study aimed to identify the metabolites associated with the physiological activity of kimchi-derived lactic acid bacteria (LAB). A clear difference was observed between the 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radical scavenging rates when the pyruvate content was high (273.5 ng/µL; radical removal speed 6.50% per min) and the rates when the pyruvate content had decreased (131.9 ng/µL; radical removal speed 3.63% per min). Additionally, the characteristics of LAB antioxidant activity (increase in ABTS radical scavenging activity with reaction time, low level of 2,2-diphenyl-1-picrylhydrazyl radical scavenging activity) were similar to those of pyruvate-derived activity. Hydrogen peroxide content (WiKim0124, 2.08 → 0.26; WiKim0121, 0.99 → 0.47; WiKim39, 1.93 → 0.24) and lactate dehydrogenase activity (WiKim0124, 1.53 → 0.00; WiKim0121, 0.73 → 0.01; WiKim39, 1.72 → 0.02) decreased more in heat-killed LAB than in non-heat-killed LAB. Accordingly, this resulted in increased pyruvate content and the inhibitory activity of lipid peroxide production increased by 2-3 times. Our findings indicate that pyruvate is one of the major metabolites regulating LAB physiological activity. PRACTICAL APPLICATION: The safety of utilizing live probiotics remains a topic of debate. To mitigate associated risks, there is a growing interest in non-viable microorganisms or microbial cell extracts for use as probiotics. Various methods can be employed for probiotic inactivation. Heat treatment typically emerges as the preferred choice for inactivating probiotic strains in many instances. The present study shows the distinctions between inactivating lactic acid bacteria (LAB) through heat treatment and non-heat treatment. It may serve as a valuable reference for selecting an appropriate inactivation method for LAB in industrial processes.

The Ecology of Economic Distress and Life Expectancy.

Objectives: To determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in local economic prosperity, at the county level. Methods: Between 12/1/22 and 2/28/23, we conducted a retrospective analysis of 2000 and 2019 data from 3,123 United States counties. For Total, White, and Black populations, we compared LE changes for counties across the rural-urban continuum, the local economic prosperity continuum, and for counties in which local economic prosperity dramatically improved or declined. Results: In both years, overall, across the rural-urban continuum, and for all studied populations, LE decreased with each progression from the most to least prosperous quintile (all p < 0.001); improving county prosperity between 2000-2019 was associated with greater LE gains (p < 0.001 for all). Conclusion: At the county level, race, rurality, and local economic distress were all associated with LE; improvements in local economic conditions were associated with accelerated LE. Policymakers should appreciate the health externalities of investing in areas experiencing poor economic prosperity if their goal is to improve population health.

Multiplex fluorescence loop-mediated isothermal amplification with lateral flow assay for rapid simultaneous detection of mecA and nuc genes in methicillin-resistant Staphylococcus aureus.

BACKGROUND: Antibiotic-resistant bacteria, such as methicillin-resistant Staphylococcus aureus (MRSA), pose a significant threat to public health. Existing detection methods, like cultivation-based techniques, demand significant time and labor, while molecular diagnostic techniques, such as PCR, necessitate sophisticated instrumentation and skilled personnel. Although previous multiplex loop-mediated isothermal amplification assays based on fluorescent dyes (mfLAMP) offer simplicity and cost-effectiveness, they are prone to false-positive results. Therefore, developing a rapid and efficient multiplex assay for high-sensitivity MRSA is imperative to create a practical diagnostic tool for point-of-care testing. RESULTS: Here, we developed a mfLAMP combined with a lateral flow assay (mfLAMP-LFA) for the visual and simultaneous detection of the mecA (PBP2a-specific marker) and nuc (S. aureus-specific marker) genes in MRSA. We optimized mfLAMP-LFA using graphene oxide (GO)-based purification and specific DNA probes and evaluated its sensitivity, specificity, and stability. Utilizing GO to mitigate false-positive results by acting as a trap for free DNA probes, the mfLAMP-LFA method successfully identified mecAf and nucf-probes, exhibiting distinct red, green, and yellow fluorescence signals. The detection sensitivity of the developed mfLAMP-LFA method (1 CFU mL-1 in phosphate-buffered saline (PBS)) was comparable to other highly sensitive MRSA detection methods (1 CFU mL-1 in PBS). Furthermore, the method demonstrated specificity for MRSA, detecting it in irrigation water samples within the desired range and achieving reliable recovery rates from spiked samples. SIGNIFICANCE: This novel strategy is the first to incorporate GO into mfLAMP-LFA, enabling specific and sensitive MRSA detection and advancing rapid bacterial detection. This assay facilitates MRSA diagnostics, contributing to improved public health and food safety by delivering rapid, cost-effective point-of-care results. It enables the simultaneous detection of multiple bacteria, even in irrigation water samples artificially inoculated with MRSA, which contain aerobic bacteria at 2.7 × 102 CFU mL-1.

Interactions of bosutinib with drug transporters: In vitro and In vivo inhibition of organic cation transporter 2, multidrug and toxin extrusion protein 1, and breast cancer resistance protein by bosutinib.

Bosutinib has been approved for use in patients with chronic myeloid leukemia. Information regarding the effects of bosutinib on clinically important drug transporters is limited, particularly regarding its inhibitory potency on transporters and in vivo effects. Therefore, we conducted a study investigating the in vitro and in vivo effects of bosutinib on drug transporters. Bosutinib showed moderate or strong inhibitory effects on organic cation transporter 2, multidrug and toxin extrusion protein 1, and breast cancer resistance protein with IC50 values of 0.0894, 0.598, and 10.8 µM, respectively. In vivo experiments in rats showed that bosutinib significantly inhibited organic cation transporter 2 and multidrug and toxin extrusion protein 1, leading to a marked reduction in the renal clearance of metformin and an increase in systemic exposure to metformin. Bosutinib increased systemic exposure to sulfasalazine, a probe substrate of breast cancer resistance protein, by 75 % in rats, highlighting its potential to significantly affect intestinal drug efflux. These quantitative changes suggest that bosutinib may alter the in vivo pharmacokinetics of drugs that are substrates of these transporters, potentially leading to increased drug exposure and enhanced or unexpected pharmacological effects.

Kimchi Lactic Acid Bacteria Starter Culture: Impact on Fermented Malt Beverage Volatile Profile, Sensory Analysis, and Physicochemical Traits.

Starter cultures used during the fermentation of malt wort can increase the sensory characteristics of the resulting beverages. This study aimed to explore the aroma composition and flavor recognition of malt wort beverages fermented with lactic acid bacteria (Levilactobacillus brevis WiKim0194) isolated from kimchi, using metabolomic profiling and electronic tongue and nose technologies. Four sugars and five organic acids were detected using high-performance liquid chromatography, with maltose and lactic acid present in the highest amounts. Additionally, e-tongue measurements showed a significant increase in the sourness (AHS), sweetness (ANS), and umami (NMS) sensors, whereas bitterness (SCS) significantly decreased. Furthermore, 20 key aroma compounds were identified using gas chromatography-mass spectrometry and 15 key aroma flavors were detected using an electronic nose. Vanillin, citronellol, and ß-damascenone exhibited significant differences in the flavor profile of the beverage fermented by WiKim0194, which correlated with floral, fruity, and sweet notes. Therefore, we suggest that an appropriate starter culture can improve sensory characteristics and predict flavor development in malt wort beverages.

Evaluation of cosmetic outcomes in breast reconstruction patients undergoing radiotherapy using an anomaly generative adversarial network model.

Considering the rising prevalence of breast reconstruction followed by radiotherapy (RT), evaluating the cosmetic impact of RT is crucial. Currently, there are limited tools for objectively assessing cosmetic outcomes in patients who have undergone reconstruction. Therefore, we validated the cosmetic outcome using a previously developed anomaly Generative Adversarial Network (GAN)-based model and evaluated its utility. Between January 2016 and December 2020, we collected computed tomography (CT) images from 82 breast cancer patients who underwent immediate reconstruction surgery followed by radiotherapy. Among these patients, 38 received immediate implant insertion, while 44 underwent autologous breast reconstruction. Anomaly scores (AS) were estimated using an anomaly GAN model at pre-RT, 1st follow-up, 1-year (Post-1Y) and 2-year (Post-2Y) after RT. Subsequently, the scores were analyzed in a time-series manner, considering reconstruction types (implant versus autologous), RT techniques, and the incidence of major complications. The median age of the patients was 46 years (range 29-62). The AS between Post-1Y and Post-2Y demonstrated a positive relationship (coefficient 0.515, P < 0.001). The AS was significantly associated with objective cosmetic indices, namely Breast Contour Difference (P = 0.009) and Breast Area Difference (P = 0.004), at both Post-1Y and Post-2Y. Subgroup analysis stratified by type of breast reconstruction revealed significantly higher AS values in patients who underwent prosthetic implant insertion compared to those with autologous reconstruction at all follow-up time points (1st follow-up, P = 0.001; Post-1Y, P < 0.001; and Post-2Y, P < 0.001). A threshold AS of ≥ 1.9 was associated with a 10% predicted risk of developing major complications. The feasibility of an AS generated by a GAN model for predicting both cosmetic outcomes and the likelihood of complications following RT has been successfully validated. Further investigation involving a larger patient cohort is warranted.

Trends in the availability of comprehensive services within outpatient substance use treatment facilities from 2018 to 2022.

Background: Little is known regarding the extent to which substance use disorder (SUD) treatment facilities adopt comprehensive services to meet patients' medical and social needs.Objective: To examine trends in the availability of comprehensive services within outpatient SUD treatment facilities from 2018 to 2022.Methods: We used data from the Mental Health and Addiction Treatment Tracking Repository, a national database of SUD treatment facilities (n = 13,793). We examined the availability of four domains of comprehensive services and four types of SUD treatment services from 2018 to 2022. We conducted bivariate and multivariate logistic regression predicting the availability of a comprehensive service model (defined as having at least one service from each service domain), controlling for organizational and community characteristics.Results: Comprehensive services were increasingly offered from 2018 to 2022. In unadjusted and adjusted models, facilities which were externally accredited (OR: 1.50; 95%CI: 1.30-1.74), accepted Medicaid (OR: 1.51; 95%CI: 1.30-1.74), performed community outreach (OR: 2.05; 95%CI: 1.80-2.33), provided naloxone and overdose education (OR: 3.50; 95%CI: 3.06-3.99), had a robust SUD treatment infrastructure (OR: 2.33; 95%CI; 2.08-2.62), and were located in a county with a lower percentage of White residents (OR: 0.99; 95%CI: 0.99-0.99), a higher percentage of residents in poverty (OR: 1.02; 95%CI: 1.00-1.03), and the Northeast compared with the South (OR: 1.21; 95%CI: 1.01-1.45), had significantly higher odds of adopting a comprehensive service model.Conclusion: Findings highlight the importance of factors reflecting experience with organizational change efforts and enhanced external support. Policymakers working to enhance the uptake of comprehensive services should focus on obtaining the financial and technical support necessary to develop these models.

A nationwide study of breast reconstruction after mastectomy in patients with breast cancer receiving postmastectomy radiotherapy: comparison of complications according to radiotherapy fractionation and reconstruction procedures.

BACKGROUND: We examined the patterns of breast reconstruction postmastectomy in breast cancer patients undergoing postmastectomy radiotherapy (PMRT) and compared complications based on radiotherapy fractionation and reconstruction procedures. METHODS: Using National Health Insurance Service (NHIS) data (2015-2020), we analysed 4669 breast cancer patients with PMRT and reconstruction. Using propensity matching, cohorts for hypofractionated fractionation (HF) and conventional fractionation (CF) were created, adjusting for relevant factors and identifying grade ≥3 complications. RESULT: Of 4,669 patients, 30.6% underwent HF and 69.4% CF. The use of HF has increased from 19.4% in 2015 to 41.0% in 2020. Immediate autologous (32.9%) and delayed two-stage implant reconstruction (33.9%) were common. Complication rates for immediate (N = 1286) and delayed two-stage (N = 784) reconstruction were similar between HF and CF groups (5.1% vs. 5.4%, P = 0.803, and 10.5% vs. 10.7%, P = 0.856, respectively) with median follow-ups of 2.5 and 2.6 years. HF showed no increased risk of complications across reconstruction methods. CONCLUSION: A nationwide cohort study revealed no significant difference in complication rates between the HF and CF groups, indicating HF for reconstructed breasts is comparable to CF. However, consultation regarding the fractionation for reconstructed breast cancer patients may still be necessary.

Barriers and Facilitators to Establishing Partnerships for Substance Use Disorder Care Transitions Between Safety-Net Hospitals and Community-Based Organizations.

BACKGROUND: The effectiveness of hospital-based transitional opioid programs (TOPs), which aim to connect patients with substance use disorders (SUD) to ongoing treatment in the community following initiation of medication for opioid use disorder (MOUD) treatment in the hospital, hinges on successful patient transitions. These transitions are enabled by strong partnerships between hospitals and community-based organizations (CBOs). However, no prior study has specifically examined barriers and facilitators to establishing SUD care transition partnerships between hospitals and CBOs. OBJECTIVE: To identify barriers and facilitators to developing partnerships between hospitals and CBOs to facilitate care transitions for patients with SUDs. DESIGN: Qualitative study using semi structured interviews conducted between November 2022-August 2023. PARTICIPANTS: Staff and providers from hospitals affiliated with four safety-net health systems (n=21), and leaders and staff from the CBOs with which they had established partnerships (n=5). APPROACH: Interview questions focused on barriers and facilitators to implementing TOPs, developing partnerships with CBOs, and successfully transitioning SUD patients from hospital settings to CBOs. KEY RESULTS: We identified four key barriers to establishing transition partnerships: policy and philosophical differences between organizations, ineffective communication, limited trust, and a lack of connectivity between data systems. We also identified three facilitators to partnership development: strategies focused on building partnership quality, strategic staffing, and organizing partnership processes. CONCLUSIONS: Our findings demonstrate that while multiple barriers to developing hospital-CBO partnerships exist, stakeholders can adopt implementation strategies that mitigate these challenges such as using mediators, cross-hiring, and focusing on mutually beneficial services, even within resource-limited safety-net settings. Policymakers and health system leaders who wish to optimize TOPs in their facilities should focus on adopting implementation strategies to support transition partnerships such as inadequate data collection and sharing systems.

Discrimination in Medical Settings across Populations: Evidence From the All of Us Research Program.

INTRODUCTION: Discrimination in medical settings (DMS) contributes to healthcare disparities in the United States, but few studies have determined the extent of DMS in a large national sample and across different populations. This study estimated the national prevalence of DMS and described demographic and health-related characteristics associated with experiencing DMS in seven different situations. METHODS: Survey data from 41,875 adults participating in the All of Us Research Program collected in 2021-2022 and logistic regression were used to examine the association between sociodemographic and health-related characteristics and self-reported DMS among adults engaged with a healthcare provider within the past 12 months. Statistical analysis was performed in 2023-2024. RESULTS: About 36.89% of adults reported having experienced at least one DMS situation. Adults with relative social and medical disadvantages had higher prevalence of experiencing DMS. Compared to their counterparts, respondents with higher odds of experiencing DMS in at least one situation identified as female, non-Hispanic Black, having at least some college, living in the South, renter, having other living arrangement, being publicly insured, not having a usual source of care, having multiple chronic conditions, having any disability, and reporting fair or poor health, p<0.05. CONCLUSIONS: The findings indicate a high prevalence of DMS, particularly among some population groups. Characterizing DMS may be a valuable tool for identifying populations at risk within the healthcare system and optimizing the overall patient care experience. Implementing relevant policies remains an essential strategy for mitigating the prevalence of DMS and reducing healthcare disparities.

Groundwater health risk assessment of North China Plain based on Monte Carlo model sensitivity analysis and morphological analysis: A case study of Shijiazhuang City.

The rapid development of the social economy and the influence of human activities can lead to aggravated groundwater pollution. Groundwater safety is the premise of residents' health. Therefore, studying the sustainable utilization and health risks of groundwater quality is important. The groundwater quality and potential health risks were evaluated in the Shijiazhuang area, which is located in the North China Plain in this paper. Based on 159 groundwater samples collected in the study area, the potential health risks of As, Cr6+, Ni, Pb, F-, and NO3 - to humans were evaluated from oral and skin contact. Results of the human health risk assessment showed that the average carcinogenic risk and non-carcinogenic risk of children are higher than those of adults. According to the spatial distribution of the total risk value, adults and children in the southwest of the study area face higher risks. Because of the uncertainty of USEPA, Monte Carlo simulation was used to calculate the probability of health risk assessment and prioritization of contaminant treatment. The results of the Monte Carlo simulation showed that the acceptable range for children is 6.82%, and the acceptable range for adults is 18.07%. According to the HRWM model, carcinogenic pollutants mainly include As, Cr6+, and Ni. The most important chemical species of As is HAsO4 2-, followed by H2AsO4 -. Similarly, CrO4 2- and Ni2+ are the main forms of Cr6+ and Ni. The results of this study can provide data support for the protection and management of groundwater quality in the North China Plain. PRACTITIONER POINTS: Children are more susceptible to carcinogenic risk than adults. After calculation, the main influencing elements are Ni and Cr. Metal morphology analysis was carried out, and the results showed that HAsO4 2-, CrO4 2-, and Ni2+ were the main types.

A molecular beacon design for a colorimetric loop-mediated isothermal amplification assay.

In this study, a molecular beacon (MB) was designed for colorimetric loop-mediated isothermal amplification (cLAMP). The length of complementary bases on the MB, guanine and cytosine content (GC content), and hybridization sites of complementary bases were investigated as key factors affecting the design of the MB. We designed MBs consisting of 10, 15, and 20 complementary bases located at both ends of the HRPzyme. In the case of the long dumbbell DNA structure amplified from the hlyA gene of Listeria monocytogenes, possessing a flat region (F1c-B1) of 61 base pairs (bp), an MB was designed to intercalate into the flat region between the F1c and B1 regions of the LAMP amplicons. In the case of the short dumbbell DNA structure amplified from the bcfD gene of Salmonella species possessing a flat region (F1c-B1) length of 6 bp, another MB was designed to intercalate into the LoopF or LoopB regions of the LAMP amplicons. The results revealed that the hybridization site of the MB on the LAMP amplicons was not crucial in designing the MB, but the GC content was an important factor. The highest hybridization efficiencies for LAMP amplicons were obtained from hlyA gene-specific and bcfD gene-specific MBs containing 20- and 15-base complementary sequences, respectively, which exhibited the highest GC content. Therefore, designing MBs with a high GC content is an effective solution to overcome the low hybridization efficiency of cLAMP assays. The results obtained can be used as primary data for designing MBs to improve cLAMP accessibility.

The impact of the new ESTRO-ACROP target volume delineation guidelines for postmastectomy radiotherapy after implant-based breast reconstruction on breast complications.

The European Society for Radiotherapy and Oncology-Advisory Committee in Radiation Oncology Practice (ESTRO-ACROP) updated a new target volume delineation guideline for postmastectomy radiotherapy (PMRT) after implant-based reconstruction. This study aimed to evaluate the impact on breast complications with the new guideline compared to the conventional guidelines. In total, 308 patients who underwent PMRT after tissue expander or permanent implant insertion from 2016 to 2021 were included; 184 received PMRT by the new ESTRO-ACROP target delineation (ESTRO-T), and 124 by conventional target delineation (CONV-T). The endpoints were major breast complications (infection, necrosis, dehiscence, capsular contracture, animation deformity, and rupture) requiring re-operation or re-hospitalization and any grade ≥2 breast complications. With a median follow-up of 36.4 months, the cumulative incidence rates of major breast complications at 1, 2, and 3 years were 6.6%, 10.3%, and 12.6% in the ESTRO-T group, and 9.7%, 15.4%, and 16.3% in the CONV-T group; it did not show a significant difference between the groups (p = 0.56). In multivariable analyses, target delineation is not associated with the major complications (sHR = 0.87; p = 0.77). There was no significant difference in any breast complications (3-year incidence, 18.9% vs. 23.3%, respectively; p = 0.56). Symptomatic RT-induced pneumonitis was developed in six (3.2%) and three (2.4%) patients, respectively. One local recurrence occurred in the ESTRO-T group, which was within the ESTRO-target volume. The new ESTRO-ACROP target volume guideline did not demonstrate significant differences in major or any breast complications, although it showed a tendency of reduced complication risks. As the dosimetric benefits of normal organs and comparable oncologic outcomes have been reported, further analyses with long-term follow-up are necessary to evaluate whether it could be connected to better clinical outcomes.

Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017-2021.

Recognizing the impact of the social determinants of health (SDOH) on health outcomes, in 2016, the Centers for Medicare and Medicaid Services recommended the use of International Classification of Diseases, 10th Revision (ICD-10), Z-codes to capture patients' health-related social needs. We examined changes in Z-code utilization to document health-related social needs for Medicare fee-for-service recipients among US hospitals between 2017 and 2021 across 5 common SDOH domains. We found that, while 56.9% of hospitals had at least 1 Z-code recorded in at least 1 patient per year, apart from those referring to housing needs, rates of Z-code adoption were low. Additionally, hospitals that were general medical, part of a teaching institution, affiliated with larger health systems, and of medium to large size had greater odds of utilizing Z-codes. Findings from this study highlight the need for continued efforts in promoting the consistent use of standardized SDOH capturing methods like Z-code documentation, such as provider training.

Examining the relationship between social determinants of health, measures of structural racism and county-level overdose deaths from 2017-2020.

INTRODUCTION: Despite being an important determinant of health outcomes, measures of structural racism are lacking in studies examining the relationship between the social determinants of health (SDOH) and overdose deaths. The aim of this study is to examine the association between per capita revenue generated from fines and forfeitures, a novel measure of structural racism, and other SDOH with county-level overdose deaths from 2017-2020. METHODS: This longitudinal analysis of 2,846 counties from 2017-2020 used bivariate and multivariate Generalized Estimating Equations models to estimate associations between county overdose mortality rates and SDOH characteristics, including the fines and forfeitures measure. RESULTS: In our multivariate model, higher per capita fine and forfeiture revenue (5.76; CI: 4.76, 6.78), households receiving food stamps (1.15; CI: 0.77, 1.53), residents that are veterans (1.07; CI: 0.52, 1.63), substance use treatment availability (4.69; CI: 3.03, 6.33) and lower population density (-0.002; CI: -0.004, -0.001) and percent of Black residents (-0.7`; CI: -1.01, -0.42) were significantly associated with higher overdose death rates. There was a significant additive interaction between the fines and forfeitures measure (0.10; CI: 0.03, 0.17) and the percent of Black residents. CONCLUSIONS: Our findings suggest that structural racism, along with other SDOH, is associated with overdose deaths. Future research should focus on connecting individual-level data on fines and forfeitures to overdose deaths and other health outcomes, include measures of justice-related fines, such as court fees, and assess whether interventions aimed at increasing economic vitality in disadvantaged communities impact overdose deaths in a meaningful way.

Prediction of Overall Disease Burden in (y)pN1 Breast Cancer Using Knowledge-Based Machine Learning Model.

BACKGROUND: We aimed to construct an expert knowledge-based Bayesian network (BN) model for assessing the overall disease burden (ODB) in (y)pN1 breast cancer patients and compare ODB across arms of ongoing trials. METHODS: Utilizing institutional data and expert surveys, we developed a BN model for (y)pN1 breast cancer. Expert-derived probabilities and disability weights for radiotherapy-related benefit (e.g., 7-year disease-free survival [DFS]) and toxicities were integrated into the model. ODB was defined as the sum of disability weights multiplied by probabilities. In silico predictions were conducted for Alliance A011202, PORT-N1, RAPCHEM, and RT-CHARM trials, comparing ODB, 7-year DFS, and side effects. RESULTS: In the Alliance A011202 trial, 7-year DFS was 80.1% in both arms. Axillary lymph node dissection led to higher clinical lymphedema and ODB compared to sentinel lymph node biopsy with full regional nodal irradiation (RNI). In the PORT-N1 trial, the control arm (whole-breast irradiation [WBI] with RNI or post-mastectomy radiotherapy [PMRT]) had an ODB of 0.254, while the experimental arm (WBI alone or no PMRT) had an ODB of 0.255. In the RAPCHEM trial, the radiotherapy field did not impact the 7-year DFS in ypN1 patients. However, there was a mild ODB increase with a larger irradiation field. In the RT-CHARM trial, we identified factors associated with the major complication rate, which ranged from 18.3% to 22.1%. CONCLUSIONS: The expert knowledge-based BN model predicted ongoing trial outcomes, validating reported results and assumptions. In addition, the model demonstrated the ODB in different arms, with an emphasis on quality of life.

Clinical characteristics and salivary biomarkers of burning mouth syndrome.

OBJECTIVES: To investigate the clinical characteristics and salivary biomarkers in each type of burning mouth syndrome (BMS) patients. MATERIALS AND METHODS: Ninety-eight postmenopausal female patients with BMS were included. Fifty and 21 patients were assigned to the primary and secondary groups, respectively. Twenty-seven patients with both primary and secondary characteristics were assigned to the intermediate group. Comprehensive clinical characteristics and salivary biomarkers were analyzed. RESULTS: Significant differences in age, proportion of hyposalivator patients based on unstimulated whole saliva (UWS), symptom distribution, severties of burning sensation and effect of oral complaints in daily life (Eff-life), and positive symptom distress index (PSDI) were observed among the three groups. The primary group had significant higher UWS flow rate, fewer UWS hyposalivator proportions, and lesser severity of Eff-life than the secondary group. The intermediate group had significantly greater intensities of burning sensation and Eff-life and higher PSDI score than did the primary group. The primary group had significantly higher cortisol and dehydroepiandrosterone (DHEA) levels in stimulated whole saliva than did the secondary group. CONCLUSIONS: This study's findings show that clinical characteristics differentiate each BMS type. Cortisol and DHEA levels are potential salivary biomarkers for discriminating between the primary and secondary types of BMS.

Isolation of Murine Adipose-Derived Stromal/Stem Cells for Adipogenic and Osteogenic Differentiation or Flow Cytometry-Based Analysis.

Murine models of obesity or reduced adiposity are a valuable resource for understanding the role of adipocyte dysfunction in metabolic disorders. Adipose tissue stromal vascular cells or primary adipocytes derived from murine adipose tissue and grown in culture are essential tools for studying the mechanisms underlying adipocyte development and function. Herein, we describe methods for the isolation, expansion, and long-term storage of murine adipose-derived stromal/stem cells, along with protocols for inducing adipogenesis to white or beige adipocytes in this cell population and osteogenic differentiation. Isolation of the adipose stromal vascular fraction cells for flow cytometric analysis is also described.

Assessment of lymph node area coverage with total marrow irradiation and implementation of total marrow and lymphoid irradiation using automated deep learning-based segmentation.

BACKGROUND: Total marrow irradiation (TMI) and total marrow and lymphoid irradiation (TMLI) have the advantages. However, delineating target lesions according to TMI and TMLI plans is labor-intensive and time-consuming. In addition, although the delineation of target lesions between TMI and TMLI differs, the clinical distinction is not clear, and the lymph node (LN) area coverage during TMI remains uncertain. Accordingly, this study calculates the LN area coverage according to the TMI plan. Further, a deep learning-based model for delineating LN areas is trained and evaluated. METHODS: Whole-body regional LN areas were manually contoured in patients treated according to a TMI plan. The dose coverage of the delineated LN areas in the TMI plan was estimated. To train the deep learning model for automatic segmentation, additional whole-body computed tomography data were obtained from other patients. The patients and data were divided into training/validation and test groups and models were developed using the "nnU-NET" framework. The trained models were evaluated using Dice similarity coefficient (DSC), precision, recall, and Hausdorff distance 95 (HD95). The time required to contour and trim predicted results manually using the deep learning model was measured and compared. RESULTS: The dose coverage for LN areas by TMI plan had V100% (the percentage of volume receiving 100% of the prescribed dose), V95%, and V90% median values of 46.0%, 62.1%, and 73.5%, respectively. The lowest V100% values were identified in the inguinal (14.7%), external iliac (21.8%), and para-aortic (42.8%) LNs. The median values of DSC, precision, recall, and HD95 of the trained model were 0.79, 0.83, 0.76, and 2.63, respectively. The time for manual contouring and simply modified predicted contouring were statistically significantly different. CONCLUSIONS: The dose coverage in the inguinal, external iliac, and para-aortic LN areas was suboptimal when treatment is administered according to the TMI plan. This research demonstrates that the automatic delineation of LN areas using deep learning can facilitate the implementation of TMLI.