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Introduction: Older adults racialized as Black experience higher rates of dementia than those racialized as White. Structural racism produces socioeconomic challenges, described by artist Marvin Gaye as ?hang ups, let downs, bad breaks, setbacks? that likely contribute to dementia disparities. Robust dementia literature suggests socioeconomic factors may also be key resiliencies. Methods: We linked state-level data reflecting the racialized landscape of economic opportunity across the 20th Century from the U.S. Census (1930?2010) with individual-level data on cognitive outcomes from the U.S. Health and Retirement Study participants racialized as Black. A purposive sample of participants born after the Brown v. Board ruling (born 1954?59) were selected who completed the modified Telephone Interview for Cognitive Status between 2010 and 2020 (N=1381). We tested associations of exposure to structural racism and resilience before birth, and during childhood, young-adulthood, and midlife with cognitive trajectories in mid-late life using mixed-effects regression models. Results: Older adults born in places with higher state-level structural socioeconomic racism experienced a more rapid cognitive decline in later life compared to those with lower levels of exposure. In addition, participants born in places with higher levels of state-level structural socioeconomic resilience experienced slower cognitive change over time than their counterparts. Discussion: These findings reveal the impact of racist U.S. policies enacted in the past that influence cognitive health over time and dementia risk later in life.

We present the case of a 36-year-old woman who presented to our clinic for a second opinion. After multiple previous surgeries, she presented with an abdominal wound infection, which was initially treated conservatively. In the further course, catamenial bleeding occurred as an unusual symptom, and the suspicion of a fistula formation was postulated. Subsequent surgical repair and consecutive histopathological diagnosis revealed evidence of a fistula with endometriosis genitalis externa and thus gave an explanation for this striking clinical case presentation.

We provide in this paper a comprehensive comparison of various transfer learning strategies and deep learning architectures for computer-aided classification of adult-type diffuse gliomas. We evaluate the generalizability of out-of-domain ImageNet representations for a target domain of histopathological images, and study the impact of in-domain adaptation using self-supervised and multi-task learning approaches for pretraining the models using the medium-to-large scale datasets of histopathological images. A semi-supervised learning approach is furthermore proposed, where the fine-tuned models are utilized to predict the labels of unannotated regions of the whole slide images (WSI). The models are subsequently retrained using the ground-truth labels and weak labels determined in the previous step, providing superior performance in comparison to standard in-domain transfer learning with balanced accuracy of 96.91% and F1-score 97.07%, and minimizing the pathologist's efforts for annotation. Finally, we provide a visualization tool working at WSI level which generates heatmaps that highlight tumor areas; thus, providing insights to pathologists concerning the most informative parts of the WSI.

Raman spectroscopy (RS) has demonstrated its utility in neurooncological diagnostics, spanning from intraoperative tumor detection to the analysis of tissue samples peri- and postoperatively. In this study, we employed Raman spectroscopy (RS) to monitor alterations in the molecular vibrational characteristics of a broad range of formalin-fixed, paraffin-embedded (FFPE) intracranial neoplasms (including primary brain tumors and meningiomas, as well as brain metastases) and considered specific challenges when employing RS on FFPE tissue during the routine neuropathological workflow. We spectroscopically measured 82 intracranial neoplasms on CaF2 slides (in total, 679 individual measurements) and set up a machine learning framework to classify spectral characteristics by splitting our data into training cohorts and external validation cohorts. The effectiveness of our machine learning algorithms was assessed by using common performance metrics such as AUROC and AUPR values. With our trained random forest algorithms, we distinguished among various types of gliomas and identified the primary origin in cases of brain metastases. Moreover, we spectroscopically diagnosed tumor types by using biopsy fragments of pure necrotic tissue, a task unattainable through conventional light microscopy. In order to address misclassifications and enhance the assessment of our models, we sought out significant Raman bands suitable for tumor identification. Through the validation phase, we affirmed a considerable complexity within the spectroscopic data, potentially arising not only from the biological tissue subjected to a rigorous chemical procedure but also from residual components of the fixation and paraffin-embedding process. The present study demonstrates not only the potential applications but also the constraints of RS as a diagnostic tool in neuropathology, considering the challenges associated with conducting vibrational spectroscopic analysis on formalin-fixed, paraffin-embedded (FFPE) tissue.

Reliable training of Raman spectra-based tumor classifiers relies on a substantial sample pool. This study explores the impact of cryofixation (CF) and formalin fixation (FF) on Raman spectra using samples from surgery sites and a tumor bank. A robotic Raman spectrometer scans samples prior to the neuropathological analysis. CF samples showed no significant spectral deviations, appearance, or disappearance of peaks, but an intensity reduction during freezing and subsequent recovery during the thawing process. In contrast, FF induces sustained spectral alterations depending on molecular composition, albeit with good signal-to-noise ratio preservation. These observations are also reflected in the varying dual-class classifier performance, initially trained on native, unfixed samples: The Matthews correlation coefficient is 81.0% for CF and 58.6% for FF meningioma and dura mater. Training on spectral differences between original FF and pure formalin spectra substantially improves FF samples’ classifier performance (74.2%). CF is suitable for training global multiclass classifiers due to its consistent spectrum shape despite intensity reduction. FF introduces changes in peak relationships while preserving the signal-to-noise ratio, making it more suitable for dual-class classification, such as distinguishing between healthy and malignant tissues. Pure formalin spectrum subtraction represents a possible method for mathematical elimination of the FF influence. These findings enable retrospective analysis of processed samples, enhancing pathological work and expanding machine learning techniques.

Over the last century, the narrative of cervical cancer history has become intricately tied to virus research, particularly the human papillomavirus (HPV) since the 1970s. The unequivocal proof of HPV’s causal role in cervical cancer has placed its detection at the heart of early screening programs across numerous countries. From a historical perspective, sexually transmitted genital warts have been already documented in ancient Latin literature; the remarkable symptoms and clinical descriptions of progressed cervical cancer can be traced back to Hippocrates and classical Greece. However, in the new era of medicine, it was not until the diagnostic–pathological accomplishments of Aurel Babeş and George Nicolas Papanicolaou, as well as the surgical accomplishments of Ernst Wertheim and Joe Vincent Meigs, that the prognosis and prevention of cervical carcinoma were significantly improved. Future developments will likely include extended primary prevention efforts consisting of better global access to vaccination programs as well as adapted methods for screening for precursor lesions, like the use of self-sampling HPV-tests. Furthermore, they may also advantageously involve additional novel diagnostic methods that could allow for both an unbiased approach to tissue diagnostics and the use of artificial-intelligence-based tools to support decision making.

Understanding and classifying inherent tumor heterogeneity is a multimodal approach, which can be undertaken at the genetic, biochemical, or morphological level, among others. Optical spectral methods such as Raman spectroscopy aim at rapid and non-destructive tissue analysis, where each spectrum generated reflects the individual molecular composition of an examined spot within a (heterogenous) tissue sample. Using a combination of supervised and unsupervised machine learning methods as well as a solid database of Raman spectra of native glioblastoma samples, we succeed not only in distinguishing explicit tumor areas—vital tumor tissue and necrotic tumor tissue can correctly be predicted with an accuracy of 76%—but also in determining and classifying different spectral entities within the histomorphologically distinct class of vital tumor tissue. Measurements of non-pathological, autoptic brain tissue hereby serve as a healthy control since their respective spectroscopic properties form an individual and reproducible cluster within the spectral heterogeneity of a vital tumor sample. The demonstrated decipherment of a spectral glioblastoma heterogeneity will be valuable, especially in the field of spectroscopically guided surgery to delineate tumor margins and to assist resection control.

Abstract Meningiomas are among the most frequent tumors of the central nervous system. For a total resection, shown to decrease recurrences, it is paramount to reliably discriminate tumor tissue from normal dura mater intraoperatively. Raman spectroscopy (RS) is a non-destructive, label-free method for vibrational analysis of biochemical molecules. On the microscopic level, RS was already used to differentiate meningioma from dura mater. In this study we test its suitability for intraoperative macroscopic meningioma diagnostics. RS is applied to surgical specimen of intracranial meningiomas. The main purpose is the differentiation of tumor from normal dura mater, in order to potentially accelerate the diagnostic workflow. The collected meningioma and dura mater samples (n = 223 tissue samples from a total of 59 patients) are analyzed under untreated conditions using a new partially robotized RS acquisition system. Spectra (n = 1273) are combined with the according histopathological analysis for each sample. Based on this, a classifier is trained via machine learning. Our trained classifier separates meningioma and dura mater with a sensitivity of 96.06 $$\pm $$ ± 0.03% and a specificity of 95.44 $$\pm $$ ± 0.02% for internal fivefold cross validation and 100% and 93.97% if validated with an external test set. RS is an efficient method to discriminate meningioma from healthy dura mater in fresh tissue samples without additional processing or histopathological imaging. It is a quick and reliable complementary diagnostic tool to the neuropathological workflow and has potential for guided surgery. RS offers a safe way to examine unfixed surgical specimens in a perioperative setting.

(1) Background: Surgical-oncological treatment methods are continuously put to the test in times of evidence-based medicine—notably, a constant reevaluation remains key, especially for tumor entities with increasing incidence such as vulvar carcinoma. (2) Methods: In order to determine the postoperative clinical course of different methods of vulvar excision (vulvectomy, hemivulvectomy) as well as inguinal lymph node removal (lymphadenectomy, sentinel lymph node biopsy) with regard to postoperative wound-healingprocess, perioperative hemorrhage, and re-resection rates, we retrospectively analyzed surgical, morphological and laboratory data of 76 patients with a pathological diagnosed vulvar cancer. (3) Results: Analysis of our data from a single center revealed a comparable perioperative clinical course regardless of the chosen method of vulvar excision and inguinal lymph node removal. (4) Conclusions: Thus, our results emphasize the current multimodality in surgical therapy of vulvar carcinoma, in which consideration of known prognostic factors together with the individual patient’s clinical situation allow guideline-based therapy aimed at maximizing surgical safety.

Introduction: Nowadays chemotherapy in breast cancer patients is optionally applied neoadjuvant, which allows for testing of tumor response to the chemotherapeutical treatment in vivo, as well as allowing a greater number of patients to benefit from a subsequent breast-conserving surgery. Material and methods: We compared breast ultrasonography, mammography, and clinical examination (palpation) results with postoperative histopathological findings after neoadjuvant chemotherapy, aiming to determine the most accurate prediction of complete remission and tumor-free resection margins. To this end, clinical and imaging data of 184 patients (193 tumors) with confirmed diagnosis of breast cancer and neoadjuvant therapy were analyzed. Results: After chemotherapy, tumors could be assessed by palpation in 91.7%, by sonography in 99.5%, and by mammography in 84.5% (chi-square p < 0.0001) of cases. Although mammography proved more accurate in estimating the exact neoadjuvant tumor size than breast sonography in total numbers (136/163 (83.44%) vs. 142/192 (73.96%), n.s.), 29 tumors could be assessed solely by means of breast sonography. A sonographic measurement was feasible in 192 cases (99.48%) post-chemotherapy and in all cases prior to chemotherapy. Conclusions: We determined a superiority of mammography and breast sonography over clinical palpation in predicting neoadjuvant tumor size. However, neither examination method can predict either pCR or tumor margins with high confidence.

In recent years, Raman spectroscopy has been more and more frequently applied to address research questions in neuroscience. As a non-destructive technique based on inelastic scattering of photons, it can be used for a wide spectrum of applications including neurooncological tumor diagnostics or analysis of misfolded protein aggregates involved in neurodegenerative diseases. Progress in the technical development of this method allows for an increasingly detailed analysis of biological samples and may therefore open new fields of applications. The goal of our review is to provide an introduction into Raman scattering, its practical usage and also commonly associated pitfalls. Furthermore, intraoperative assessment of tumor recurrence using Raman based histology images as well as the search for non-invasive ways of diagnosis in neurodegenerative diseases are discussed. Some of the applications mentioned here may serve as a basis and possibly set the course for a future use of the technique in clinical practice. Covering a broad range of content, this overview can serve not only as a quick and accessible reference tool but also provide more in-depth information on a specific subtopic of interest.

Objective and Methods: Timely discrimination between primary CNS lymphoma (PCNSL) and glioblastoma is crucial for diagnostics and therapy, but most importantly also determines the intraoperative surgical course. Advanced radiological methods allow this to a certain extent but ultimately, biopsy is still necessary for final diagnosis. As an upcoming method that enables tissue analysis by tracking changes in the vibrational state of molecules via inelastic scattered photons, we used Raman Spectroscopy (RS) as a label free method to examine specimens of both tumor entities intraoperatively, as well as postoperatively in formalin fixed paraffin embedded (FFPE) samples. Results: We applied and compared statistical performance of linear and nonlinear machine learning algorithms (Logistic Regression, Random Forest and XGBoost), and found that Random Forest classification distinguished the two tumor entities with a balanced accuracy of 82,4% in intraoperative tissue condition and with 94% using measurements of distinct tumor areas on FFPE tissue. Taking a deeper insight into the spectral properties of the tumor entities, we describe different tumor-specific Raman shifts of interest for classification. Conclusions: Due to our findings, we propose RS as an additional tool for fast and non-destructive, perioperative tumor tissue discrimination, which may augment treatment options at an early stage. RS may further serve as a useful additional tool for neuropathological diagnostics with little requirements for tissue integrity.

To determine if the timing of prenatal care is associated with low birth weight delivery after adjusting for sociodemographic and behavioral risk factors, we performed a retrospective cross-sectional study of singleton births to white (2,945,595) or African-American (552,068) women in the United States in 1996. When adjusted for race, maternal age, educational level attained, and the use of alcohol and tobacco during pregnancy, women beginning care in the 2nd (adjusted RR = 0.85; 95% CI: 0.83-0.86) and 3rd trimesters (RR = 0.87; 95% CI: 0.84-0.91) had a reduced risk of low birth weight compared to women beginning care in the 1st trimester. Our findings suggest that no benefit exists for early initiation of prenatal care for reducing the risk of low birth weight. Findings related to differences in low birth weight among women who start prenatal care later are likely due to sociodemographic differences that may influence access to early care. [ABSTRACT FROM AUTHOR]

Purpose The Health of Philippine Emigrants Study (HoPES) longitudinally investigates over 3 years whether migrating from the Philippines to the USA results in increased risk for obesity relative to non-migrants in the Philippines. The study is designed to test the healthy immigrant hypothesis by collecting health measures from migrants starting from a pre-migration baseline and enrolling a non-migrant cohort matched on age, gender and education for comparison.Participants A migrant cohort (n=832; 36.5% of eligible individuals) was recruited from clients of the Commission on Filipinos Overseas prior to exiting the Philippines. A non-migrant cohort (n=805; 68.6% eligible individuals) was recruited from community households in municipalities throughout the cities of Manila and Cebu. By intention, these two cohorts are comparable demographically, including urban/rural status of residency in the Philippines at baseline.Findings to date At baseline, compared with non-migrants, migrants report significantly better self-rated health and less depression, and have significantly larger hip circumference and lower waist-to-hip ratio, as well as significantly higher mean systolic blood pressure and higher mean level of apolipoprotein B. Baseline results can offer insight into the health status of both migrant and non-migrant populations and may be useful for obesity prevention efforts.Future plans Longitudinal data collection is scheduled to be completed in December 2020 when the final data collection wave (36 months after baseline) will conclude. Both migrant and non-migrant cohorts will be maintained beyond the current prospective study, so long as research funding allows and emerges for new study questions. Findings from future longitudinal analyses can inform the need and design of health-related/relevant interventions, whether clinical, behavioural, educational, or policy, that can be implemented at the individual or population level.

ABSTRACT IMPACT: Understanding how perceived discrimination affects Asian Americans can help stakeholders target subgroups that are at highest risk of discrimination-related behaviors and design culturally appropriate interventions to ensure equitable access to healthcare. OBJECTIVES/GOALS: The COVID-19 pandemic has exposed longstanding anti-Asian racism in the US. Yet, effects of discrimination on Asian American health are unknown, partly because diverse Asian American populations are analyzed in aggregate. We aim to understand how perceived discrimination affects healthcare utilization among different Asian American subgroups. METHODS/STUDY POPULATION: We examine the association of perceived discrimination with healthcare utilization using the California Health Interview Survey (CHIS). In the CHIS, respondents reported whether they would’ve gotten better medical care if they belonged to a different race. We examine the association between these responses and physician visits within the past year, in the survey years 2003, 2004 and 2016-2017. We adjust for covariates based on the Andersen Health Behavior model. Subsequent modeling examines potential mediating and moderating factors such as limited English proficiency, immigration status, income, and survey year. Asian American subgroups analyzed include Asian Indian, Korean, Chinese, Filipino, Vietnamese, Japanese, and other Asian. RESULTS/ANTICIPATED RESULTS: Results will highlight how perceived discrimination incentivizes or disincentivizes certain Asian subgroups to utilize healthcare. Asian American subgroups have differing and diverse experiences with discrimination due to their historical and cultural differences; results will elucidate how discrimination affects these subgroups. Results will be compared to non-Hispanic Whites, who represent the racial group least likely to experience discrimination in the US. Mediation and moderation analysis will help understand how traditionally cited factors for healthcare utilization interact with perceived discrimination on Asian Americans. DISCUSSION/SIGNIFICANCE OF FINDINGS: Asian American subgroups are understudied, despite Asian Americans being one of the fastest growing racial groups in the US. Understanding how perceived discrimination affects Asian Americans can help stakeholders target subgroups that are at highest risk of discrimination-related behaviors and design culturally appropriate interventions.

Education usually shows a relationship with self-rated health such that those with highest education have the best health and those with lowest education have the worst health. We examine these educational gradients among Asian immigrants and whether they differ by country of origin, duration in the United States, and generational status. Migration theories suggest that recent immigrants from poorer countries should show a weaker relationship between education and health than US-born Whites. Acculturation theory further suggests that differences in gradients across country of origin should diminish for longer-term immigrants and the US-born and that these groups should display gradients similar to US-born Whites.We use the March Current Population Survey (2000−2010) to examine educational gradients in self-rated health among recent immigrants (≤15 years duration), longer-term immigrants (>15 years duration), and second generation US-born Asians from China (n = 4473), India (n = 4,307), the Philippines (n = 5746), South Korea (n = 2760), and Japan (n = 1265).We find weak or non-significant educational gradients among recent Asian immigrants across the five countries of origin. There is no indication that longer-term immigrants display significant differences across educational status. Only second generation Chinese and Filipinos show significant differences by educational status.Overall, Asians show an attenuated relationship between education and self-rated health compared to US-Whites that persists over duration in the US and generational status. Our findings show shortcomings in migration and acculturation theories to explain these gradient patterns. Future research could use binational data or explore psychosocial factors to identify potential suppressors of educational gradients. Keywords: Educational gradients, Asian immigrants, Self-rated health

Despite a growing body of epidemiological evidence in recent years documenting the health impacts of racism, the cumulative evidence base has yet to be synthesized in a comprehensive meta-analysis focused specifically on racism as a determinant of health. This meta-analysis reviewed the literature focusing on the relationship between reported racism and mental and physical health outcomes. Data from 293 studies reported in 333 articles published between 1983 and 2013, and conducted predominately in the U.S., were analysed using random effects models and mean weighted effect sizes. Racism was associated with poorer mental health (negative mental health: r = -.23, 95% CI [-.24,-.21], k = 227; positive mental health: r = -.13, 95% CI [-.16,-.10], k = 113), including depression, anxiety, psychological stress and various other outcomes. Racism was also associated with poorer general health (r = -.13 (95% CI [-.18,-.09], k = 30), and poorer physical health (r = -.09, 95% CI [-.12,-.06], k = 50). Moderation effects were found for some outcomes with regard to study and exposure characteristics. Effect sizes of racism on mental health were stronger in cross-sectional compared with longitudinal data and in non-representative samples compared with representative samples. Age, sex, birthplace and education level did not moderate the effects of racism on health. Ethnicity significantly moderated the effect of racism on negative mental health and physical health: the association between racism and negative mental health was significantly stronger for Asian American and Latino(a) American participants compared with African American participants, and the association between racism and physical health was significantly stronger for Latino(a) American participants compared with African American participants. Protocol PROSPERO registration number: CRD42013005464.

Introduction: Maintaining optimal central venous catheter tip position requires reliable catheter securement. A vital decision about the choice of engineered securement device is often made by what is conveniently available in the insertion kit or default clinical routine. The importance of continuous securement for oncology patients prompted the need for an evaluation of securement options currently available. This study aimed to assess the effectiveness of two engineered securement devices to assist the oncology patient in reaching the end of their catheter need., Methods: A retrospective study was conducted to assess patients' ability to finish their therapy with one peripherally inserted central catheter. Implant and explant data for adult oncology patients was evaluated spanning 2007-2021. All patients received a PICC with either an adhesive securement device or a subcutaneous anchor securement system., Results: Partial or complete dislodgement causing the unplanned removal of the PICC occurred at 12% for ASD and 0.4% for SASS ( p  < 0.0001). The probability of reaching the end of need with one PICC, regardless of the reason for premature removal, at 2 years for patients with an adhesive securement device was 68% ( n  = 944). For patients with a subcutaneous anchored securement device, it was over 95% ( n  = 8313). The difference in the probability of reaching the end of the need with one PICC between the two securement devices was calculated at ( p  < 0.0001)., Conclusion: With over 9200 patients and more than a million catheter days, the results of this retrospective study demonstrate the SASS's superiority in assisting the patient to reach the end of need with a single PICC., Competing Interests: Declaration of conflicting interestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Michelle L. Hawes: Independent research consultant, Carol A. McCormick: Staff RN, Clatterbridge Cancer Center Liverpool, Gregory E. Gilbert: Independent biostatistician.

Home dialysis rates have improved little over the past five years. Lack of pre-dialysis patient education persists as an obstacle precluding greater improvement. In this study, barriers to chronic kidney disease (CKD) education at patient and provider levels were addressed using telehealth education for patients with CKD Stages 4-5 in a nonacademic outpatient nephrology practice. A quasi-experimental design was used to compare patients (n = 31) who received telehealth education to those in usual care. CKD Knowledge subscales of kidney function, slowing the progression of CKD, and options for treatment of kidney failure were measured pre-education, post-education, and three months later. There was no significant difference in CKD Knowledge scores over time or in treatment groups. Telehealth CKD education offers flexible options to address patient/provider barriers and potentially improve patient choice of home dialysis therapies., Competing Interests: The author reported no actual or potential conflict of interest in relation to this nursing continuing professional development (NCPD) activity., (Copyright© by the American Nephrology Nurses Association.)

Competing Interests: Declaration of competing interests There are no conflicts of interest.

Background: Educational programs to prepare nurse practitioners (NPs) were historically built upon foundational nursing experience. Originally prepared as certificate programs in 1965, the educational requirements for nurse practitioners (NPs) rapidly shifted from certificate programs to the Master's degree (DellaBella, 2015; Fairman, 2008). As Doctor of Nursing Practice (DNP) degree programs increase in number, it is unknown whether this foundational nursing experience has changed, or if it differs by certification type for pediatric nurse practitioners (PNPs). This study aimed to evaluate the educational preparation and prior nursing experience of primary care and acute care certified PNPs., Methods: A national survey of members of the Pediatric Nurse Practitioner Certification Board (N = 17,530) was completed (Mudd et al., 2022). A sub-analysis of this data was conducted (n = 1974)., Results: There was no statistical evidence among either primary or acute care PNPs of an association between previous nursing experience and type of degree preparation (Master's or DNP). There was only a weak association between educational preparation and experience among acute care nurse practitioners. Most respondents were prepared at the Master's level, and 85% of all respondents had >1 year of nursing experience prior to returning for additional PNP education., Discussion: This study adds to the literature as it describes the educational preparation and foundational nursing experience of primary and acute care PNPs. It can serve as a benchmark as the move to the DNP continues for Advanced Practice Registered Nurse preparation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Aim: The purpose of this article was to evaluate the ability of an interactive virtual reality (VR) platform guided by standards of best practice to provide an effective immersive learning environment. We specifically evaluated usability of the platform and learners' perceptions of the experience., Background: A variety of strategies are needed to train a highly competent nursing workforce., Methods: We conducted a quantitative cross-sectional study to evaluate the VR experience using the System Usability Scale (SUS) ® and the Simulation Effectiveness Tool-Modified (SET-M)., Results: Post-simulation evaluations were completed by 127 prelicensure and 28 advanced practice students. On the SUS scale, students found the overall VR system easy to navigate, and on the SET-M, they rated the VR experience positively., Conclusion: Immersive technology such as VR with a defined curriculum and facilitated debriefing can be valuable for student learning and may ultimately effect patient care. [ J Nurs Educ . 2023;62(6):364-373.] .

Aim: The purpose of this study was to explore student experiences within a health care disparity simulation, embedded in maternal-child content., Background: Health care disparities related to race and ethnicity in the maternal-child population are daunting among African American and Hispanic women., Method: Participants completed the Simulation Effectiveness Tool-Modified, a rapid-fire huddle questionnaire, and a demographic instrument. All students participated in structured debriefing., Results: Student responses ( n = 69) demonstrated effectiveness in learning via this scenario., Conclusion: The rapid-fire huddle and debriefing are important elements when health care disparities are introduced into nursing curricula., Competing Interests: The authors have declared no conflict of interest., (Copyright © 2022 National League for Nursing.)

Introduction: Resuscitation events in pediatric critical and emergency care are high risk, and strong leadership is an important component of an effective response. The Concise Assessment of Leadership Management (CALM) tool, designed to assess the strength of leadership skills during pediatric crises, has shown promising validity and reliability in simulated settings. The objective of this study was to generate further validity and reliability evidence for the CALM by applying it to real-life emergency events., Methods: A prospective, video-based study was conducted in an academic pediatric emergency department. Three reviewers independently applied the CALM tool to the assessment of pediatric emergency department physicians as they led both a cardiac arrest and a sepsis event. Time to critical event (epinephrine, fluid, and antibiotic administration) was collected via video review. Based on Kane's framework, we conducted fully crossed, person × event × rater generalizability (G) and decision (D) studies. Interrater reliability was calculated using Gwet AC 2 and intraclass correlation coefficients. Time to critical events was correlated with CALM scores using Spearman coefficient., Results: Nine team leaders were assessed in their leadership of 2 resuscitations each. The G coefficient was 0.68, with 26% subject variance, 20% rater variance, and no case variance. Thirty-three percent of the variance (33%) was attributed to third-order interactions and unknown factors. Gwet AC 2 was 0.3 and intraclass correlation was 0.58. The CALM score and time to epinephrine correlated at -0.79 ( P = 0.01). The CALM score and time to fluid administration correlated at -0.181 ( P = 0.64)., Conclusions: This study provides additional validity evidence for the CALM tool's use in this context if used with multiple raters, aligning with data from the previous simulation-based CALM validity study. Further development may improve reliability. It also serves as an exemplar of the rigors of conducting validity work within medical simulation., Competing Interests: A.C. has grant funding from the Robert Wood Johnson Foundation and Sanofi-Pasteur, unrelated to this study. The authors declare no conflict of interest., (Copyright © 2022 Society for Simulation in Healthcare.)

Prior reports indicate that the convex membrane curvature of phosphatidylserine (PS)-containing vesicles enhances formation of binding sites for factor Va and lactadherin. Yet, the relationship of convex curvature to localization of these proteins on cells remains unknown. We developed a membrane topology model, using phospholipid bilayers supported by nano-etched silica substrates, to further explore the relationship between curvature and localization of coagulation proteins. Ridge convexity corresponded to maximal curvature of physiologic membranes (radii of 10 or 30 nm) and the troughs had a variable concave curvature. The benchmark PS probe lactadherin exhibited strong differential binding to the ridges, on membranes with 4% to 15% PS. Factor Va, with a PS-binding motif homologous to lactadherin, also bound selectively to the ridges. Bound factor Va supported coincident binding of factor Xa, localizing prothrombinase complexes to the ridges. Endothelial cells responded to prothrombotic stressors and stimuli (staurosporine, tumor necrosis factor-α [TNF- α]) by retracting cell margins and forming filaments and filopodia. These had a high positive curvature similar to supported membrane ridges and selectively bound lactadherin. Likewise, the retraction filaments and filopodia bound factor Va and supported assembly of prothrombinase, whereas the cell body did not. The perfusion of plasma over TNF-α-stimulated endothelia in culture dishes and engineered 3-dimensional microvessels led to fibrin deposition at cell margins, inhibited by lactadherin, without clotting of bulk plasma. Our results indicate that stressed or stimulated endothelial cells support prothrombinase activity localized to convex topological features at cell margins. These findings may relate to perivascular fibrin deposition in sepsis and inflammation., (© 2023 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)

Objectives: We aimed to develop a standardized scoring tool to measure point-of-care ultrasound (POCUS) image quality and to determine validity evidence for its use to assess lung ultrasound image quality., Methods: The POCUS Image Quality (POCUS IQ) scale was developed by POCUS-trained physicians to assess sonographers' image acquisition skills by evaluating image quality for any POCUS application. The scale was piloted using lung images of healthy standardized patients acquired by three expert sonographers compared to three novices before and after training. All images (experts, novices pre-training, novices post-training) were scored on the POCUS IQ scale by three blinded POCUS-trained physicians. Reliability was assessed with fully-crossed generalizability and decision studies. Validity was assessed using Messick's framework., Results: Content validity was supported by the tool's development process of literature review, expert consensus, and pilot testing. Response process was supported by reviewer training and the blinded scoring process. Relation to other variables was supported by scores relating to sonographer experience: median expert score = 10.5/14 (IQR: 4), median novice pre-training score = 6/14 (IQR: 2.25), and novices' improvement after training (median post-training score = 12/14, IQR: 3.25). Internal structure was supported by internal consistency data (coefficient alpha = 0.84, omega coefficient = 0.91) and the generalizability study showing the main contributor to score variability was the sonographer (51%). The G-coefficient was 0.89, suggesting very good internal structure, however, Gwet's AC 2  was 0.5, indicating moderate interrater reliability. The D study projected a minimum of 1 reviewer and 2 patients are needed for good psychometric reliability., Conclusions: The POCUS scale has good preliminary validity evidence as an assessment tool for lung POCUS image acquisition skills. Further studies are needed to demonstrate its utility for other POCUS applications and as a feedback tool for POCUS learners., (© 2022 American Institute of Ultrasound in Medicine.)

This survey aimed to evaluate contemporary pediatric nurse practitioner (PNP) practice as it relates to the competencies of both the primary and acute care population focus and settings of practice to guide curriculum revisions. The design of the study was a cross-sectional survey of PNPs certified by the Pediatric Nursing Certification Board. There were 2,265 surveys completed. Regardless of the certification type, PNPs report providing care across settings and integrating the competencies of both the primary and acute care PNP into practice. This warrants further consideration by programs to prepare future PNPs for dual primary and acute care certification., Competing Interests: Declaration of Competing Interest None to report., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Universities face challenges in preparing future nurses for the workforce. It is essential to guide educators on strategies to achieve similar learning objectives to overcoming these challenges. Educators widely use the observer role in simulation, but researchers do not study the role thoroughly in current simulation research. There is a lack of discipline-specific research exploring how observers learn in simulation and if they can engage in the experiential learning intended in the simulation activity., Objectives: The objective of this research is to determine the difference in simulation effectiveness between the process-based role versus the response-based role (observers) in participants during simulation-based learning experiences., Design: This research used a quasi-experimental posttest only design to determine differences in simulation effectiveness among learner roles using the Simulation Effectiveness Tool-Modified (SET-M)., Setting & Participants: The researcher collected data from 193 prelicensure nursing students enrolled in any semester of one Midwestern undergraduate baccalaureate nursing program., Methods: Nursing students completed the assigned face-to-face simulations in their current curriculum plan. Each participant was randomly assigned to a participant role: direct participant role as either a primary or secondary nurse, non-directed observer with no briefing or observer guide, direct observer with an observation guide, or in-scenario observer assigned to a non-clinical or other professional role within the scenario. After debriefing of the simulation, participants completed the demographic survey and SET-M., Results: There were no significant differences found in prelicensure nursing students' simulation effectiveness among the four participant roles studied., Conclusion: This study suggests simulation effectiveness (learning and confidence) happens regardless of the participants role during the simulation activity. Educators should consider what roles are necessary within each scenario and assign observation roles as needed., Competing Interests: Conflict of interest ARZ, KAE, and GEG have no conflict of interest to disclose., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Elevations in circulating trimethylamine N -oxide (TMAO) and its precursors are observed in humans and dogs with heart failure and are associated with adverse outcomes in people. Dietary intervention that reduces or excludes animal ingredients results in rapid reduction of plasma TMAO and TMAO precursors in people, but the impact of diet in dogs has not been studied. The objective of the current study was to determine the effect of diet on plasma TMAO and 2 of its precursors (choline and betaine) in dogs fed a commercial extruded plant-based diet (PBD) or a commercial extruded traditional diet (TD) containing animal and plant ingredients. Sixteen healthy adult mixed breed dogs from a university colony were enrolled in a randomized, 2-treatment, 2-period crossover weight-maintenance study. Mean (SD) age and body weight of the dogs were 2.9 years (± 1.7) and 14.5 kg (± 4.0), respectively . Eight dogs were female (3 intact, 5 spayed) and 8 dogs were male (4 intact, 4 castrated). Plasma choline, betaine and TMAO were quantified by LC-SID-MRM/MS at baseline, and after 4 weeks on each diet. Choline and betaine were also quantified in the diets. Plasma choline levels were significantly lower ( P = 0.002) in dogs consuming a PBD (Mean ± SD, 6.8 μM ± 1.2 μM) compared to a TD (Mean ± SD, 7.8 μM ± 1.6 μM). Plasma betaine levels were also significantly lower ( P = 0.03) in dogs consuming a PBD (Mean ± SD, 109.1 μM ± 25.3 μM) compared to a TD (Mean ± SD, 132.4 μM ± 32.5 μM). No difference ( P = 0.71) in plasma TMAO was detected in dogs consuming a PBD (Median, IQR, 2.4 μM, 2.1 μM) compared to a TD (Median, IQR, 2.3 μM, 1.1 μM). Betaine content was lower in the PBD than in the TD while choline content was similar in the diets. Our findings indicate consumption of a commercial extruded PBD for 4 weeks reduces circulating levels of the TMAO precursors choline and betaine, but not TMAO, in healthy adult dogs., Competing Interests: RS is employed by BSM Partners. BSM Partners collaborate with hundreds of clients ranging from the largest companies to the smallest upstart companies to formulate, review and advise on the development of hundreds of new products each year, including dog foods, treats, and supplements. RS has received lecture honorariums from Hill's® (Topeka, Kansas, USA). RS's relationships with BSM Partners and Hill's had no impact on study design, data collection and analysis, decision to publish, or preparation of the manuscript. GG was employed by SigmaStatsTM Consulting, LLC. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Cavanaugh, Cavanaugh, Streeter, Vieira, Gilbert and Ketzis.)