Exploring Unprofessional Behaviors and Biased Perceptions in the Clinical Environment: Students' Perspectives.

Professionalism stands as a fundamental cornerstone within the realm of physician training, representing a core competency that holds significant importance. It entails creating workplaces that are physically and psychologically safe within the health care system. Positive role modeling from health professionals is important in creating a learning environment that fosters diversity, equity, and inclusion for all. Using the mixed-methods sequential design, this study investigated unprofessional behaviors and biased perceptions demonstrated by health professionals as perceived and experienced by medical students during their clinical rotations at one medical school. Seventy-three M3 students and 37 M4 students responded to the survey, followed by three focus groups (n = 11) to further examine unprofessionalism and biases as well as impacts on performance, learning opportunities, and well-being. The results from both the quantitative and qualitative data demonstrate the presence of unprofessionalism and biases within the current medical education environment. These issues include a lack of respect and compassion, a lack of commitment to professional duties, malfunctioning teamwork, and a lack of sensitivity towards individuals regardless of their group affiliations. The unprofessional behaviors and biased perceptions have detrimental impacts on students' performance, learning, and well-being. The reasons behind unprofessionalism and bias are multifaceted, influenced by societal and local environmental factors that extend beyond individual beliefs and values. By collecting empirical data on students' experiences and perceptions, the study sheds light on the areas that need improvement and offers insights into adopting strategies to decrease unprofessional conducts and foster a respectful and inclusive learning environment.

The effects of incivility on student nurses in the clinical setting: A grounded theory approach.

AIM: To use a grounded theory approach to explore and understand the encounters of undergraduate nursing students with incivility in the clinical setting so that data-informed strategies for addressing this counterproductive behavior could be developed. BACKGROUND: Nurses are being called upon to fill ever-increasing responsibilities associated with expanding roles in different specialties within healthcare. One issue that has developed in this high-pressure environment is an increase in incivility in the workplace that spills over into the clinical training environment. As a pervasive problem in the healthcare system, its effects on nursing students could compound the nursing shortage by undermining the integrity of nursing education and discouraging individuals from entering the profession. Therefore, it is vital to construct new theories regarding incivility so that this unprofessional practice can be eradicated or reduced. When this is done, there may be a renewed hope for new nursing students to practice their clinical rotations without feeling disrespected, undermined and intimidated. Students should be able to complete clinical rotations without these unnecessary barriers. DESIGN: Qualitative grounded theory using philosophical underpinnings of symbolic interactionism and pragmatism. METHODS: A classical grounded theory approach focusing on the Glaserian Model was used to develop an inductively derived theory from the data. Participants were interviewed about their encounters with incivility and then open coding was used to identify recurring concerns on which a model of the effect of these occurrences could be established. The study sample consisted of 32 participants of which 25 were undergraduate nursing students and seven were graduate students who participated in a focus group. Data were collected through face-to-face (in-person and virtual) structured interviews that were audiotaped. These individuals were recruited by flyers posted at varying strategic points on university campuses. RESULTS: Open coding of student responses revealed three significant areas of concern: feelings of being disrespected, intimidated and undermined, from which the Inhibiting Actions Theory emerged. CONCLUSION: Nursing students' perceptions of incivility and their attitudes and behaviors toward this occurrence culminated in the Inhibiting Actions Theory, which provides a framework for implementing effective policies and personnel training in clinical settings. The hope is that these research findings will be a call to action for introducing systemic changes in the clinical training environment, thereby improving the clinical experiences of nursing students and patients.

Coproduction in Social Prescribing Initiatives: Protocol for a Scoping Review.

BACKGROUND: Social prescribing (SP) takes a holistic approach to health by linking clients from clinical settings to community programs to address their nonmedical needs. The emerging evidence base for SP demonstrates variability in the design and implementation of different SP initiatives. To effectively address these needs, coproduction among clients, communities, stakeholders, and policy makers is important for tailoring SP initiatives for optimal uptake. OBJECTIVE: This study aims to explore the role of coproduction in SP initiatives. The research question is as follows: How and for what purpose has coproduction been incorporated across a range of SP initiatives for different clients? METHODS: A review of international literature will be conducted following the JBI guidelines for scoping reviews. We will search multiple databases including Scopus, MEDLINE, and the PAIS Index, as well as gray literature, from 2000 to 2023. The primary studies included will describe a nonmedical need for clients, a nonmedical SP program or initiative, coproduction of the SP program, and any follow-up. Review articles and commentaries will be excluded. Titles, abstracts, and full-text articles will be screened, and data will be extracted by at least 2 research team members using Covidence and a pilot-tested extraction template. Clients with lived experience will also participate in the research process. Findings will be descriptively summarized and thematically synthesized to answer the research question. RESULTS: The project was funded in 2023, and the results are expected to be submitted for publication in early 2025. CONCLUSIONS: Descriptions of what coproduction is meant to accomplish may differ from theoretical aspirations. Continued understanding of how coproduction has been designed and executed across varied international SP models is important for framing engagement in practice for future SP arrangements and their evaluation. We anticipate this review will guide clients, communities, stakeholders, and policy makers in further developing SP practice within health care systems. TRIAL REGISTRATION: Open Science Framework Registries B8U4Z; https://osf.io/b8u4z. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57062.

End user experience of a widely used artificial intelligence based sepsis system.

Objectives: Research on the Epic Sepsis System (ESS) has predominantly focused on technical accuracy, neglecting the user experience of healthcare professionals. Understanding these experiences is crucial for the design of Artificial Intelligence (AI) systems in clinical settings. This study aims to explore the socio-technical dynamics affecting ESS adoption and use, based on user perceptions and experiences. Materials and Methods: Resident doctors and nurses with recent ESS interaction were interviewed using purposive sampling until data saturation. A content analysis was conducted using Dedoose software, with codes generated from Sittig and Singh's and Salwei and Carayon's frameworks, supplemented by inductive coding for emerging themes. Results: Interviews with 10 healthcare providers revealed mixed but generally positive or neutral perceptions of the ESS. Key discussion points included its workflow integration and usability. Findings were organized into 2 main domains: workflow fit, and usability and utility, highlighting the system's seamless electronic health record integration and identifying design gaps. Discussion: This study offers insights into clinicians' experiences with the ESS, emphasizing the socio-technical factors that influence its adoption and effective use. The positive reception was tempered by identified design issues, with clinician perceptions varying by their professional experience and frequency of ESS interaction. Conclusion: The findings highlight the need for ongoing ESS refinement, emphasizing a balance between technological advancement and clinical practicality. This research contributes to the understanding of AI system adoption in healthcare, suggesting improvements for future clinical AI tools.

Mixed Reality in Clinical Settings for Pediatric Patients and Their Families: A Literature Review.

In the post-pandemic context, there has been an increasing demand for technology-based interventions in education and healthcare systems, such as augmented and mixed reality technologies. Despite the promising outcomes of applying mixed reality (MR), there is limited aggregated evidence focusing on child-patient interventions in hospital-based or clinical settings. This literature review aimed to identify and synthesize existing knowledge on MR technologies applied to pediatric patients in healthcare settings. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive search of the Scopus and Web of Science databases was conducted to identify articles published in the last 10 years that address the application of augmented and/or MR technologies in pediatric hospital settings or clinical environments to improve patient and family outcomes. A total of 45 articles were identified, and following a rigorous screening and eligibility process, 4 review articles were selected for qualitative synthesis. From these reviews, 10 studies with relevant interventions and measured effects were extracted. The extracted studies were analyzed based on eight key attributes: country of origin, study design, characteristics of the study population, primary clinical setting, type of MR device used, nature of the intervention, variables measured, and significant effects observed in the outcome variables. The analysis revealed diverse approaches across different clinical settings, with a common focus on improving both emotional well-being and learning outcomes in pediatric patients and their families. These findings suggest that MR-based pediatric interventions generally provide children and their parents with positive emotional experiences, enhancing both learning and treatment outcomes. However, the studies reviewed were heterogeneous and varied significantly in terms of clinical settings and MR applications. Future research should focus on developing more controlled study designs that specifically target the pediatric population to strengthen the evidence base for MR interventions in healthcare.

Safety and effectiveness of vortioxetine in patients with major depressive disorder in a real-life clinical setting in India: results from an interventional, flexible-dose study.

OBJECTIVE: Vortioxetine has demonstrated safety and efficacy in improving symptoms of major depressive disorder (MDD), including overall functioning in real-world settings. This is the first study in a real-life clinical setting in India to evaluate effectiveness and safety of vortioxetine in patients with MDD. METHODS: This interventional, open-label study consisted of a 12-week treatment period with flexible doses of vortioxetine (5-20 mg/day) in adult patients (aged 18-65 years) with a confirmed MDD diagnosis. Effectiveness outcomes included change from baseline to week 12 in Patient Health Questionnaire-9 (PHQ-9) and Clinical Global Impression-Severity (CGI-S) scores, along with CGI-Improvement (CGI-I) scores at week 12, using a mixed model for repeated measures. Adverse events (AEs) were recorded for safety outcome assessments. RESULTS: Of 395 patients who received vortioxetine, 42.3% were women mean age 38.9 years; 322 patients completed the study. Significant improvement in depressive symptoms was observed in change from baseline to week 12 least squares (LS) mean (SE) PHQ-9 total score (-9.36 [0.276]; p<.0001) and CGI-S score (-2.14 [0.065]; p<.0001). LS mean (SE) CGI-I score showed significant improvement at week 12 (1.93 [0.067]; p<.0001). Subgroup analysis across age, sex, disease severity, and body mass index showed significant improvements in depression symptoms and severity. A total of 35.4% (n = 140) of patients experienced treatment-emergent AEs (mostly mild-moderate); nausea and pruritus were the most frequent (6.6%, n = 26 each). CONCLUSION: Safety and effectiveness of vortioxetine in improving symptoms of MDD over a 12-week period was demonstrated in a real-life clinical setting in India. CLINICAL TRIAL REGISTRATION INFORMATION: Open-label, flexible-dose study of vortioxetine in patients with major depressive disorder in India; Clinical Trials.gov ID: NCT04288895; https://www.clinicaltrials.gov/study/NCT04288895.

Challenges of clinical accompaniment amongst undergraduate nursing students: University of KwaZulu-Natal.

Background: Clinical accompaniment is an activity predominantly supervised by the clinical facilitator to develop the skills of the students. In South Africa, clinical accompaniment aims to develop the skills of the students to equip them in delivering efficient health services to the patients. Previous studies revealed that students experienced challenges and were negatively affected due to inadequate clinical accompaniment in the learning practice. Aim: The aim was to determine the challenges faced by University of KwaZulu-Natal (UKZN) undergraduate nursing students during their clinical accompaniment. Methods: An observational cross-sectional study design, with an analytic component was implemented. Questionnaires were used to collect data. Of the 400 registered nursing students, 245 were undergraduates; of these, 241 consented to participate in this study. Data captured into SPSS Statistics Package V28. ANOVA were used in comparing challenges amongst participants. A p-value less than 0.05 was considered significant. Results: A total of 241 participants responded to the questionnaires, which yielded a response rate of 98.4%. This study comprised first-year (32.4%), second-year (32.8%) and third-year (34.9%) students. There was no remarkable difference in terms of challenges amongst study participants (1st; 2nd; 3rd), p=0.592. Conclusion: This study revealed the challenges faced by undergraduate nursing students during their clinical accompaniment. Contribution: Study results might assist in developing effective guidelines to resolve the challenges encountered by students.

The mediating role of mentalization and integrative self-knowledge in the relationship between childhood trauma and fear of intimacy.

Introduction: Since intimacy is a fundamental human need within social relationships, and recognizing that a fear of intimacy correlates with various negative consequences, it becomes crucial to examine the origins and factors that contribute to addressing this issue. This research aimed to investigate the mediating roles of mentalization and integrative self-knowledge in the link between childhood trauma and the fear of intimacy. Methods: Conducted as correlational descriptive research, our study incorporates a total sample of 303 adult women and men participants aged 20 to 50 in Tehran using the convenience sampling method. They completed the Fear of Intimacy Scale (FIS), the Childhood Trauma Questionnaire (CTQ), the Mentalization Scale (MentS), and the Integrative Self-Knowledge Scale (ISK). To analyze the research data at the descriptive level, frequency, percentage, standard deviation, and Pearson's correlation coefficient were used, while path analysis tested our hypotheses in SPSS version 26 and AMOS version 24. Fit indices were used to check the model's fit, and the mediation test was performed using the bootstrapping method. The fit indices revealed an excellent fit of the model with the data (χ2 = 1.51, χ2/df = 1.51, p = 0.219; RMSEA = 0.05; SRMR = 0.02; CFI = 0.99; NFI = 0.99; TLI = 0.99). Results: Results indicate mentalization fully mediates the childhood trauma-fear of intimacy relationship (ß = 0.14, p < 0.01). However, the indirect relationship between childhood trauma and fear of intimacy through integrative self-knowledge was insignificant. The results also showed that the path coefficient from mentalization to fear of intimacy was negative and significant (ß = -0.41, p < 0.001), while the path coefficient from integrative self-knowledge to fear of intimacy was not significant (ß = -0.02, p > 0.05). Discussion: Based on the current findings indicating the complete mediation of mentalization and the insignificance of the mediation of integrative self-knowledge, we can deduce that enhancing the capacity for mentalization holds promise in effectively addressing intimacy-related issues. Overall, the study suggests mentalization effectively predicts the relationship between childhood trauma and fear of intimacy. This, in turn, may mitigate the detrimental effects of challenging childhood experiences on an individual's ability to engage in intimacy and cultivate emotional closeness.

Enhancing Clinical Validation for Early Cardiovascular Disease Prediction through Simulation, AI, and Web Technology.

Cardiovascular diseases (CVDs) remain a major global health challenge and a leading cause of mortality, highlighting the need for improved predictive models. We introduce an innovative agent-based dynamic simulation technique that enhances our AI models' capacity to predict CVD progression. This method simulates individual patient responses to various cardiovascular risk factors, improving prediction accuracy and detail. Also, by incorporating an ensemble learning model and interface of web application in the context of CVD prediction, we developed an AI dashboard-based model to enhance the accuracy of disease prediction and provide a user-friendly app. The performance of traditional algorithms was notable, with Ensemble learning and XGBoost achieving accuracies of 91% and 95%, respectively. A significant aspect of our research was the integration of these models into a streamlit-based interface, enhancing user accessibility and experience. The streamlit application achieved a predictive accuracy of 97%, demonstrating the efficacy of combining advanced AI techniques with user-centered web applications in medical prediction scenarios. This 97% confidence level was evaluated by Brier score and calibration curve. The design of the streamlit application facilitates seamless interaction between complex ML models and end-users, including clinicians and patients, supporting its use in real-time clinical settings. While the study offers new insights into AI-driven CVD prediction, we acknowledge limitations such as the dataset size. In our research, we have successfully validated our predictive proposed methodology against an external clinical setting, demonstrating its robustness and accuracy in a real-world fixture. The validation process confirmed the model's efficacy in the early detection of CVDs, reinforcing its potential for integration into clinical workflows to aid in proactive patient care and management. Future research directions include expanding the dataset, exploring additional algorithms, and conducting clinical trials to validate our findings. This research provides a valuable foundation for future studies, aiming to make significant strides against CVDs.

Clinical Association Between Immune-related Adverse Events and Treatment Efficacy in Patients With Non-small-cell Lung Cancer Treated With Nivolumab-Ipilimumab-based Therapy.

BACKGROUND/AIM: Nivolumab and ipilimumab combination therapy has been extensively explored for the treatment of advanced non-small-cell lung cancer (NSCLC) through the pivotal phase III trials CheckMate 227 and CheckMate 9LA. However, the relationship between immune-related adverse events (irAEs) and the effectiveness of nivolumab plus ipilimumab-based therapy in a real-world clinical setting remains uncertain. PATIENTS AND METHODS: We performed a retrospective analysis of 28 patients with advanced or recurrent NSCLC who underwent treatment with nivolumab plus ipilimumab, with or without platinum-doublet chemotherapy, from February 2021 to January 2023. The primary objective was to elucidate the clinical association between irAEs and treatment efficacy associated with nivolumab plus ipilimumab-based therapy. RESULTS: Among the 28 patients, 22 (78.6%) experienced irAEs. The median progression-free survival (PFS) was significantly longer for patients with irAEs than for those without (p=0.0158), as was overall survival (OS) (p=0.000394). The severity of irAEs had no significant influence on PFS or OS. The objective response rate tended to be higher in patients with irAEs than in those without (50.0% versus 0.0%, respectively; p=0.0549). Multivariate analysis indicated that irAE occurrence was an independent factor for improved PFS (hazard ratio=0.2084, p=0.01383) and OS (hazard ratio=0.0857, p=0.001588). Interstitial lung disease was inferior to other irAE profiles for both PFS and OS. CONCLUSION: Patients with advanced NSCLC experiencing irAEs demonstrated superior clinical outcomes when treated with nivolumab plus ipilimumab-based therapy compared with those without irAEs. However, immune-related interstitial lung disease may be less linked with PFS and OS than other irAE profiles.

Large Language Models Versus Expert Clinicians in Crisis Prediction Among Telemental Health Patients: Comparative Study.

BACKGROUND: Due to recent advances in artificial intelligence, large language models (LLMs) have emerged as a powerful tool for a variety of language-related tasks, including sentiment analysis, and summarization of provider-patient interactions. However, there is limited research on these models in the area of crisis prediction. OBJECTIVE: This study aimed to evaluate the performance of LLMs, specifically OpenAI's generative pretrained transformer 4 (GPT-4), in predicting current and future mental health crisis episodes using patient-provided information at intake among users of a national telemental health platform. METHODS: Deidentified patient-provided data were pulled from specific intake questions of the Brightside telehealth platform, including the chief complaint, for 140 patients who indicated suicidal ideation (SI), and another 120 patients who later indicated SI with a plan during the course of treatment. Similar data were pulled for 200 randomly selected patients, treated during the same time period, who never endorsed SI. In total, 6 senior Brightside clinicians (3 psychologists and 3 psychiatrists) were shown patients' self-reported chief complaint and self-reported suicide attempt history but were blinded to the future course of treatment and other reported symptoms, including SI. They were asked a simple yes or no question regarding their prediction of endorsement of SI with plan, along with their confidence level about the prediction. GPT-4 was provided with similar information and asked to answer the same questions, enabling us to directly compare the performance of artificial intelligence and clinicians. RESULTS: Overall, the clinicians' average precision (0.7) was higher than that of GPT-4 (0.6) in identifying the SI with plan at intake (n=140) versus no SI (n=200) when using the chief complaint alone, while sensitivity was higher for the GPT-4 (0.62) than the clinicians' average (0.53). The addition of suicide attempt history increased the clinicians' average sensitivity (0.59) and precision (0.77) while increasing the GPT-4 sensitivity (0.59) but decreasing the GPT-4 precision (0.54). Performance decreased comparatively when predicting future SI with plan (n=120) versus no SI (n=200) with a chief complaint only for the clinicians (average sensitivity=0.4; average precision=0.59) and the GPT-4 (sensitivity=0.46; precision=0.48). The addition of suicide attempt history increased performance comparatively for the clinicians (average sensitivity=0.46; average precision=0.69) and the GPT-4 (sensitivity=0.74; precision=0.48). CONCLUSIONS: GPT-4, with a simple prompt design, produced results on some metrics that approached those of a trained clinician. Additional work must be done before such a model can be piloted in a clinical setting. The model should undergo safety checks for bias, given evidence that LLMs can perpetuate the biases of the underlying data on which they are trained. We believe that LLMs hold promise for augmenting the identification of higher-risk patients at intake and potentially delivering more timely care to patients.

Barriers to Implementing Registered Nurse-Driven Clinical Decision Support for Antibiotic Stewardship: Retrospective Case Study.

BACKGROUND: Up to 50% of antibiotic prescriptions for upper respiratory infections (URIs) are inappropriate. Clinical decision support (CDS) systems to mitigate unnecessary antibiotic prescriptions have been implemented into electronic health records, but their use by providers has been limited. OBJECTIVE: As a delegation protocol, we adapted a validated electronic health record-integrated clinical prediction rule (iCPR) CDS-based intervention for registered nurses (RNs), consisting of triage to identify patients with low-acuity URI followed by CDS-guided RN visits. It was implemented in February 2022 as a randomized controlled stepped-wedge trial in 43 primary and urgent care practices within 4 academic health systems in New York, Wisconsin, and Utah. While issues were pragmatically addressed as they arose, a systematic assessment of the barriers to implementation is needed to better understand and address these barriers. METHODS: We performed a retrospective case study, collecting quantitative and qualitative data regarding clinical workflows and triage-template use from expert interviews, study surveys, routine check-ins with practice personnel, and chart reviews over the first year of implementation of the iCPR intervention. Guided by the updated CFIR (Consolidated Framework for Implementation Research), we characterized the initial barriers to implementing a URI iCPR intervention for RNs in ambulatory care. CFIR constructs were coded as missing, neutral, weak, or strong implementation factors. RESULTS: Barriers were identified within all implementation domains. The strongest barriers were found in the outer setting, with those factors trickling down to impact the inner setting. Local conditions driven by COVID-19 served as one of the strongest barriers, impacting attitudes among practice staff and ultimately contributing to a work infrastructure characterized by staff changes, RN shortages and turnover, and competing responsibilities. Policies and laws regarding scope of practice of RNs varied by state and institutional application of those laws, with some allowing more clinical autonomy for RNs. This necessitated different study procedures at each study site to meet practice requirements, increasing innovation complexity. Similarly, institutional policies led to varying levels of compatibility with existing triage, rooming, and documentation workflows. These workflow conflicts were compounded by limited available resources, as well as an implementation climate of optional participation, few participation incentives, and thus low relative priority compared to other clinical duties. CONCLUSIONS: Both between and within health care systems, significant variability existed in workflows for patient intake and triage. Even in a relatively straightforward clinical workflow, workflow and cultural differences appreciably impacted intervention adoption. Takeaways from this study can be applied to other RN delegation protocol implementations of new and innovative CDS tools within existing workflows to support integration and improve uptake. When implementing a system-wide clinical care intervention, considerations must be made for variability in culture and workflows at the state, health system, practice, and individual levels. TRIAL REGISTRATION: ClinicalTrials.gov NCT04255303; https://clinicaltrials.gov/ct2/show/NCT04255303.

Identifying Existing Guidelines, Frameworks, Checklists, and Recommendations for Implementing Patient-Reported Outcome Measures: Protocol for a Scoping Review.

BACKGROUND: Implementing patient-reported outcome measures (PROMs) to measure and evaluate health outcomes is increasing worldwide. Along with this emerging trend, it is important to identify which guidelines, frameworks, checklists, and recommendations exist, and if and how they have been used in implementing PROMs, especially in clinical quality registries (CQRs). OBJECTIVE: This review aims to identify existing publications, as well as publications that discuss the application of actual guidelines, frameworks, checklists, and recommendations on PROMs' implementation for various purposes such as clinical trials, clinical practice, and CQRs. In addition, the identified publications will be used to guide the development of a new guideline for PROMs' implementation in CQRs, which is the aim of the broader project. METHODS: A literature search of the databases MEDLINE, Embase, CINAHL, PsycINFO, and Cochrane Central Register of Controlled Trials will be conducted since the inception of the databases, in addition to using Google Scholar and gray literature to identify literature for the scoping review. Predefined inclusion and exclusion criteria will be used for all phases of screening. Existing publications of guidelines, frameworks, checklists, recommendations, and publications discussing the application of those methodologies for implementing PROMs in clinical trials, clinical practice, and CQRs will be included in the final review. Data relating to bibliographic information, aim, the purpose of PROMs use (clinical trial, practice, or registries), name of guideline, framework, checklist and recommendations, the rationale for development, and their purpose and implications will be extracted. Additionally, for publications of actual methodologies, aspects or domains of PROMs' implementation will be extracted. A narrative synthesis of included publications will be conducted. RESULTS: The electronic database searches were completed in March 2024. Title and abstract screening, full-text screening, and data extraction will be completed in May 2024. The review is expected to be completed by the end of August 2024. CONCLUSIONS: The findings of this scoping review will provide evidence on any existing methodologies and tools for PROMs' implementation in clinical trials, clinical practice, and CQRs. It is anticipated that the publications will help us guide the development of a new guideline for PROMs' implementation in CQRs. TRIAL REGISTRATION: PROSPERO CRD42022366085; https://tinyurl.com/bdesk98x. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52572.

High intestinal carriage of Clostridium perfringens in healthy individuals and ICU patients in Hangzhou, China.

Clostridium perfringens has emerged as a growing public health concern due to its ability to cause various infections and its increasing resistance to antibiotics. To assess its current epidemiology in clinical settings, we conducted a survey involving 426 healthy individuals and 273 ICU inpatients at a provincial hospital in China. Our findings revealed a high prevalence of C. perfringens in healthy individuals (45.77%, 95% CI: 41.0%-50.6%) and ICU patients (12.82%, 95% CI: 9.1%-17.4%). The identified 220 C. perfringens isolates displayed substantial resistance to erythromycin (57.9%), clindamycin (50.7%), and tetracycline (32.0%), primarily attributed to the presence of erm(Q) (54.4%), lnu(P) (13.8%), tetB(P) (83.6%), and tetA(P) (66.7%). Notably, C. perfringens isolates from this particular hospital demonstrated a high degree of sequence type diversity and phylogenic variation, suggesting that the potential risk of infection primarily arises from the bacteria's gut colonization rather than clonal transmissions within the clinical environment. This study provides an updated analysis of the current epidemiology of C. perfringens in healthy individuals and ICU patients in China and emphasizes the need to optimize intervention strategies against its public health threat. IMPORTANCE: Clostridium perfringens is a bacterium of growing public health concern due to its ability to cause infections and its increasing resistance to antibiotics. Understanding its epidemiology in clinical settings is essential for intervention strategies. This study surveyed healthy individuals and ICU inpatients in a provincial hospital in China. It found a high prevalence of C. perfringens, indicating infection risk. The isolates also showed significant antibiotic resistance. Importantly, the study revealed diverse sequence types and phylogenetic variation, suggesting infection risk from intestinal colonization rather than clonal transmission in hospitals. This analysis emphasizes the need to optimize intervention strategies against this public health threat.

The new era of immunological treatment, last updated and future consideration of CAR T cell-based drugs.

Cancer treatment is one of the fundamental challenges in clinical setting, especially in relapsed/refractory malignancies. The novel immunotherapy-based treatments bring new hope in cancer therapy and achieve various treatment successes. One of the distinguished ways of cancer immunotherapy is adoptive cell therapy, which utilizes genetically modified immune cells against cancer cells. Between different methods in ACT, the chimeric antigen receptor T cells have more investigation and introduced a promising way to treat cancer patients. This technology progressed until it introduced six US Food and Drug Administration-approved CAR T cell-based drugs. These drugs act against hematological malignancies appropriately and achieve exciting results, so they have been utilized widely in cell therapy clinics. In this review, we introduce all CAR T cells-approved drugs based on their last data and investigate them from all aspects of pharmacology, side effects, and compressional. Also, the efficacy of drugs, pre- and post-treatment steps, and expected side effects are introduced, and the challenges and new solutions in CAR T cell therapy are in the last speech.

Virological and clinical outcomes in outpatients treated with baloxavir or neuraminidase inhibitors for A(H3N2) influenza: A multicenter study of the 2022-2023 season.

While clinical trials have illuminated both the virological and clinical efficacy of baloxavir for influenza and post-treatment viral resistance, these aspects warrant further study in real-world settings. In response, we executed a prospective, observational study of the Japanese 2022-2023 influenza season. A cohort of 73 A(H3N2)-diagnosed outpatients-36 treated with baloxavir, 20 with oseltamivir, and 17 with other neuraminidase inhibitors (NAIs)-were analyzed. Viral samples were collected before and after administering an antiviral on days 1, 5, and 10, respectively. Cultured viruses were amplified using RT-PCR and sequenced to detect mutations. Fever and other symptoms were tracked via self-reporting diaries. In the baloxavir cohort, viral detection was 11.1% (4/36) and 0% (0/36) on day 5 and day 10, respectively. Two isolates from day 5 (5.6%, 2/36) manifested I38T/M-substitutions in the polymerase acidic protein (PA). For oseltamivir and other NAIs, viral detection rates were 60.0% (12/20) and 52.9% (9/17) on day 5, and 16.7% (3/18) and 6.3% (1/16) on day 10, respectively. No oseltamivir-resistant neuraminidase mutations were identified after treatment. Median fever durations for the baloxavir, oseltamivir, and other NAI cohorts were 27.0, 38.0, and 36.0 h, respectively, with no significant difference. Two patients harboring PA I38T/M-substitutions did not exhibit prolonged fever or other symptoms. These findings affirm baloxavir's virological and clinical effectiveness against A(H3N2) in the 2022-2023 season and suggest limited clinical influence of post-treatment resistance emergence.

Stigmatizing clinical setting erodes physician-patient interaction quality for sexual minority men through perceived HIV stigma and HIV infection concerns in Zambia.

This study investigated whether perceived HIV stigma and HIV infection concerns among healthcare providers (HCPs) mediate the association between stigmatizing clinical setting and their interaction quality with sexual minority men (SMM) patients in Zambia. In 2021, a cross-sectional survey was conducted with 91 HCPs offering HIV-related services to SMM in Zambia. Path analysis was conducted to examine the potential mediation effect of "perceived HIV stigma" and "HIV infection concern" among HCPs in the association between "stigmatizing clinical setting" and their "interaction quality with SMM". Mediators i.e., "perceived HIV stigma" and "HIV infection concern" among HCPs, were associated positively with the stigmatizing clinical setting (ß = 0.329, p < .01, ß = 0.917, p < 0.01), and negatively with physician-patient interaction quality (ß = -0.167, p = 0.051; ß = -0.126, p < 0.05). Stigmatizing clinical setting had a significant and negative indirect effect on HCPs interaction quality with SMM through increased perceived HIV stigma (z = -1.966, p < 0.05) and increased HIV infection concern (z = -1.958, p = 0.050). To improve physician-patient interaction quality, stigma reduction interventions among HCPs, who serve SMM in Zambia, should target development of development of inclusive policies and the cultivation of cultural norms that are supportive and respectful to SMM, and protection of HCPs from enacted stigma due to offering care to SMM.

Effectiveness of One Videoconference-Based Exposure and Response Prevention Session at Home in Adjunction to Inpatient Treatment in Persons With Obsessive-Compulsive Disorder: Nonrandomized Study.

BACKGROUND: Therapist-guided exposure and response prevention (ERP) for the treatment of obsessive-compulsive disorder (OCD) is frequently conducted within clinical settings but rarely at places where patients are usually confronted with OCD symptom-provoking situations in daily life (eg, at home). OBJECTIVE: This study aimed to investigate patients' views on 1 ERP session at home via videoconference and its impact on treatment outcome. METHODS: A total of 64 inpatients with OCD received 1 session of therapist-guided videoconference-based ERP at home in adjunction to a multimodal inpatient treatment between 2015 and 2020. RESULTS: Compared with 64 age- and sex-matched controls who received a multimodal inpatient treatment without 1 session of videoconference-based ERP at home, patients who received 1 session of videoconference-based ERP in adjunction to a multimodal inpatient treatment showed stronger reductions in OCD symptom severity from admission to discharge. Before the videoconference-based ERP session, patients reported high rationale credibility and treatment expectancy. After the videoconference-based ERP session, patients reported medium-to-high positive mood as well as depth and smoothness of the session, and they perceived the working alliance as high. CONCLUSIONS: Results highlight the importance of administering therapist-guided ERP sessions in patients' natural environment to enhance treatment response in OCD. Videoconference-based ERP as add-on to treatment as usual is, therefore, a promising approach to facilitate the application of ERP in patients' natural environment and foster the generalization of ERP conducted in clinical settings.

Prognostic significance of immunohistochemical classification utilizing biopsy specimens in patients with extensive-disease small-cell lung cancer treated with first-line chemotherapy and immune checkpoint inhibitors.

PURPOSE: Although immune checkpoint inhibitors (ICIs), together with cytotoxic chemotherapy (chemoimmunotherapy), have been adapted for the initial treatment of extensive-disease small-cell lung cancer (ED-SCLC), they have achieved limited success. In ED-SCLC, a subtype of SCLC, the expression of immune-related molecules and clinical data are not well understood in relation to ICI treatment efficiency. METHODS: We examined lung biopsy specimens from patients diagnosed with ED-SCLC treated with chemoimmunotherapy or chemotherapy. SCLC subtype, expression of HLA class I, and infiltration of CD8-positive cells were examined using immunohistochemistry (IHC). Subsequently, the association between clinical factors, IHC results, and progression-free survival or overall survival was assessed. RESULTS: Most of the cases showed the achaete-scute homolog 1 (ASCL1) subtype. Among the 75 SCLC cases, 29 expressed high levels of HLA class I, while 46 showed low levels or a negative result; 33 patients were characterized as CD8-high, whereas 42 were CD8-low. In the chemoimmunotherapy cohort, multivariate analysis revealed a correlation between CD8-high and improved survival. Specifically, patients in the CD8-high group of the chemoimmunotherapy cohort experienced enhanced survival compared to those in the chemotherapy cohort, which was attributed to ICI addition. IHC subtype analysis demonstrated a survival advantage in the SCLC-I and SCLC-A groups when ICI was combined with chemotherapy compared to chemotherapy alone. CONCLUSION: Our study highlights the predictive value of IHC-classified subtypes and CD8-positive cell infiltration in estimating outcomes for patients with ED-SCLC treated with chemoimmunotherapy as a first-line therapy. These findings have practical implications for daily clinical assessments and treatment decisions.