Opportunities For Intervention Research Articles

SERPINE1: Role in Cholangiocarcinoma Progression and a Therapeutic Target in the Desmoplastic Microenvironment.

A heterogenous population of inflammatory elements, other immune and nonimmune cells and cancer-associated fibroblasts (CAFs) are evident in solid malignancies where they coexist with the growing tumor mass. In highly desmoplastic malignancies, CAFs are the prominent mesenchymal cell type in the tumor microenvironment (TME), where their presence and abundance signal a poor prognosis. CAFs play a major role in the progression of various cancers by remodeling the supporting stroma into a dense, fibrotic matrix while secreting factors that promote the maintenance of cancer stem-like characteristics, tumor cell survival, aggressive growth and metastasis and reduced sensitivity to chemotherapeutics. Tumors with high stromal fibrotic signatures are more likely to be associated with drug resistance and eventual relapse. Identifying the molecular underpinnings for such multidirectional crosstalk among the various normal and neoplastic cell types in the TME may provide new targets and novel opportunities for therapeutic intervention. This review highlights recent concepts regarding the complexity of CAF biology in cholangiocarcinoma, a highly desmoplastic cancer. The discussion focuses on CAF heterogeneity, functionality in drug resistance, contributions to a progressively fibrotic tumor stroma, the involved signaling pathways and the participating genes.

Trends of Antihypertensive Prescription Among US Adults From 2010 to 2019 and Changes Following Treatment Guidelines: Analysis of Multicenter Electronic Health Records.

Guidelines for the use of antihypertensives changed in 2014 and 2017. To understand the effect of these guidelines, we examined trends in antihypertensive prescriptions in the United States from 2010 to 2019 using a repeated cross-sectional design. Using electronic health records from 15 health care institutions for adults (20-85 years old) who had ≥1 antihypertensive prescription, we assessed whether (1) prescriptions of beta blockers decreased after the 2014 Eighth Joint National Committee (JNC 8) report discouraged use for first-line treatment, (2) prescriptions for calcium channel blockers and thiazide diuretics increased among Black patients after the JNC 8 report encouraged use as first-line therapy, and (3) prescriptions for dual therapy and fixed-dose combination among patients with blood pressure ≥140/90 mm Hg increased after recommendations in the 2017Hypertension Clinical Practice Guidelines. The study included 1 074 314 patients with 2 133 158 prescription episodes. After publication of the JNC 8 report, prescriptions for beta blockers decreased (3% lower in 2018-2019 compared to 2010-2014), and calcium channel blockers increased among Black patients (20% higher in 2015-2017 and 41% higher in 2018-2019, compared to 2010-2014), in accordance with guideline recommendations. However, contrary to guidelines, dual therapy and fixed-dose combination decreased after publication of the 2017 Hypertension Clinical Practice Guidelines(9% and 11% decrease in 2018-2019 for dual therapy and fixed-dose combination, respectively, compared to 2015-2017), and thiazide diuretics decreased among Black patients after the JNC8 report (6% lower in 2018-2019 compared to 2010-2014). Adherence to guidelines on prescribing antihypertensive medication was inconsistent, presenting an opportunity for interventions to achieve better blood pressure control in the US population.

Co‐designing enduring learning analytics prediction and support tools in undergraduate biology courses

AbstractEven highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co‐redesign methods in partnership with disciplinary experts to create high‐structure STEM courses that better support students and produce informative digital event data. To those data, we applied theory‐ and context‐relevant labels to reflect active and self‐regulated learning processes involving LMS‐hosted course materials, formative assessments, and help‐seeking tools. We illustrate the predictive benefits of this process across two cycles of model creation and reapplication. In cycle 1, we used theory‐relevant features from 3 weeks of data to inform a prediction model that accurately identified struggling students and sustained its accuracy when reapplied in future semesters. In cycle 2, we refit a model with temporally contextualized features that achieved superior accuracy using data from just two class meetings. This modelling approach can produce durable learning analytics solutions that afford scaled and sustained prediction and intervention opportunities that involve explainable artificial intelligence products. Those same products that inform prediction can also guide intervention approaches and inform future instructional design and delivery.Practitioner notesWhat is already known about this topic Learning analytics includes an evolving collection of methods for tracing and understanding student learning through their engagements with learning technologies. Prediction models based on demographic data can perpetuate systemic biases. Prediction models based on behavioural event data can produce accurate predictions of academic success, and validation efforts can enrich those data to reflect students' self‐regulated learning processes within learning tasks. What this paper adds Learning analytics can be successfully applied to predict performance in an authentic postsecondary STEM context, and the use of context and theory as guides for feature engineering can ensure sustained predictive accuracy upon reapplication. The consistent types of learning resources and cyclical nature of their provisioning from lesson to lesson are hallmarks of high‐structure active learning designs that are known to benefit learners. These designs also provide opportunities for observing and modelling contextually grounded, theory‐aligned and temporally positioned learning events that informed prediction models that accurately classified students upon initial and later reapplications in subsequent semesters. Co‐design relationships where researchers and instructors work together toward pedagogical implementation and course instrumentation are essential to developing unique insights for feature engineering and producing explainable artificial intelligence approaches to predictive modelling. Implications for practice and/or policy High‐structure course designs can scaffold student engagement with course materials to make learning more effective and products of feature engineering more explainable. Learning analytics initiatives can avoid perpetuation of systemic biases when methods prioritize theory‐informed behavioural data that reflect learning processes, sensitivity to instructional context and development of explainable predictors of success rather than relying on students' demographic characteristics as predictors. Prioritizing behaviours as predictors improves explainability in ways that can inform the redesign of courses and design of learning supports, which further informs the refinement of learning theories and their applications.

Examining the impact of interventions in reducing self-reported engagement in distracted driving: A systematic review

Despite the implementation of legal countermeasures, distracted driving remains a prevalent concern for road safety. This systematic review (following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines) summarised the literature on the impact of interventions targeting attitudes/intentions towards, and self-reported engagement in, distracted driving. Studies were eligible for this review if they examined self-reported behaviour/attitudes/intentions pertaining to distracted driving at baseline and post-intervention. Databases searched included PubMed, ProQuest, Scopus, and TRID. The review identified 19 articles/interventions, which were categorised into three intervention types. First, all program-based interventions (n = 6) reduced engagement in distracted driving. However, there were notable limitations to these studies, including a lack of control groups and difficulties implementing this intervention in a real-world setting. Second, active interventions (n = 9) were commonly utilised, yet a number of studies did not find any improvements in outcomes. Finally, four studies used a message-based intervention, with three studies reporting reduced intention and/or engagement in distracted driving. There is opportunity for message-based interventions to be communicated effortlessly online and target high-risk driving populations. However, further research is necessary to address limitations highlighted in the review, including follow-up testing and control groups. Implications are discussed with particular emphasis on areas where further research is needed.

Abstract PO3-08-01: Decision curve analysis to compare breast cancer risk predictions for a polygenic integrated clinical risk model with those of a gold standard

Abstract Risk-based guidelines have been developed to provide advice on options that are available to women who are at increased risk of breast cancer. We and others are focused on improving risk prediction models for general population use. For breast cancer, polygenic risk has been identified as important for risk prediction, especially when combined with clinical risk factors such as family history, anthropometric measures, breast imaging measures, and hormonal and reproductive risk factors. When comparing the performance of risk prediction models, the AUC is most often used but it focuses on performance in terms of distinguishing between affected and unaffected individuals and does not take into account differences in the specificity (true negative rate) and sensitivity (true positive rate) of the models being compared. In contrast, decision curve analysis takes sensitivity and specificity into account and enables the comparison of the net benefit of risk prediction tools at the clinical risk thresholds that are used to guide clinical management decisions. Herein, we use decision curve analysis to compare breast cancer risk prediction guidelines for BRISK and the Breast Cancer Risk Assessment Tool (BCRAT) in the UK Biobank, and for BRISK and IBIS version 7 in the Nurses’ Health Study. We evaluated the net benefit at the 5-year risk thresholds (1.67% and 3%) that are used to guide clinical management decisions around risk-reducing medication and at the remaining lifetime risk of 20% that is used to guide supplemental MRI surveillance. In the UK Biobank, BRISK showed a net benefit over BCRAT at the 5-year risk thresholds of 1.67% and 3.0%. The AUCs were 0.649 (95% CI = 0.640, 0.695) for BRISK and 0.567 (95% CI = 0.556, 0.577) for BCRAT and showed that, overall, BRISK discriminated between affected and unaffected women better than BCRAT (P < 0.001). In the Nurses’ Health Study, BRISK showed a net benefit over IBIS at the remaining lifetime risk threshold of 20%. The AUCs were 0.647; 95% CI = 0.627, 0.668 for BRISK and 0.571; 95% CI = 0.546, 0.595 for IBIS, a statistically significant improvement for BRISK over IBIS (P < 0.0001). We also looked at sensitivity, specificity, positive predictive value and negative predictive value even though these risk models are one-step removed from breast cancer diagnosis by screening/risk-reduction options. The positive predictive values are higher for the BRISK (27.1%) model compared to BCRAT (5.5%) in the UK Biobank dataset and higher for BRISK (15.4%) compared to IBISv7 (14.0%) in the Nurses’ dataset. We have shown the application of a statistical tool that can be used to directly compare risk models at clinically relevant thresholds. We have shown that BRISK, which comprises polygenic risk and clinical risk factors, shows higher net benefit at both 1.67% and 3% thresholds compared to BCRAT and at 20% remaining lifetime risk for IBIS version 7. In breast cancer risk prediction, a tool with high specificity (and therefore a necessary trade-off for low sensitivity) is preferred because we do not want to incorrectly classify women as not being at high risk and deny them the opportunity for intervention in the form of more frequent screening, alternative modes of screening or risk-reducing medication. This improvement in general population risk stratification that BRISK can provide has the potential to have a clinically significant effect on women’s health. Citation Format: Erika Spaeth, Bernard A Rosner, Gill Dite. Decision curve analysis to compare breast cancer risk predictions for a polygenic integrated clinical risk model with those of a gold standard [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-08-01.

Highlight of 2023: Unlocking the therapeutic potential of natural killer cells-advances in adaptive functions, cellular engineering and immunotherapy.

Natural killer (NK) cells possess potent cytotoxicity against infected and cancerous cells and hold promise in the development of new immunotherapies. This article for the Highlights of 2023 Series focuses on current advances in NK cell biology in cancerous and infectious settings and highlights opportunities for therapeutic interventions, including engineered NK cell therapies and advancements in feeder cell technologies.

The Value of Patient-Reported Outcomes to Predict Symptom Burden and Health-Related Quality of Life After Chemoradiation for Cervical Cancer: A Prospective Study

Patients with cervical cancer undergoing chemoradiation have high symptom burden. We performed an analysis of prospectively collected data on patient-reported outcomes to determine characteristics predictive of poor treatment experience. Between 2021 and 2023, we prospectively collected data on patient-reported outcomes from patients with cervical cancer undergoing definitive chemoradiation. The European Organization for Research and Treatment of Cancer (EORTC)-Quality of Life Question-Core 30 and the EORTC-Quality of Life Question-Cervical Cancer module were completed at baseline (BL) and at the end of treatment (EOT). Poor treatment experience was defined as EOT poor health-related quality of life (HRQOL), low physical function, or significant overall symptom burden. Predictive factors analyzed included demographic, clinical, and disease-specific factors and BL financial toxicity, depression, social function, and emotional function. Receiver operating characteristic analysis provided appropriate predictive cutoff values. Univariable and multivariable (MVA) linear regression analyses were performed. Forty-nine patients completed BL and EOT questionnaires. Median age was 43 years (range, 18-85 years). Most patients (59%) had stage III disease. BL financial toxicity ≥66.7, depression ≥66.7, social function ≤50, and emotional function ≤58 on the EORTC linear transformed scale of 0 to 100 were significant predictors for poor treatment experience (p ≤ .04) based on receiver operating characteristic analysis. On MVA, poor BL social function was associated with reduced EOT HRQOL (β, -9.3; 95% CI, -16.1 to -2.6; p < .008), decreased physical function (β, -24.4; 95% CI, -36.3 to -12.6; p < .001), and high symptom burden (β, 26.9; 95% CI, 17.5-36.3; p < .001). Earlier disease stage predicted decreased symptom burden (β, -6.7; 95% CI, -13.1 to -0.3; p = .039). BL financial toxicity was a significant predictor in univariable analysis (p = .001-.044) and showed a significant interaction term on MVA (p = .024-.041) for all 3 domains of poor treatment experience. Demographic and treatment-related factors were not predictive. Patients with cervical cancer with poor BL social function or high financial toxicity were at risk for increased symptom burden and poor HRQOL. Screening for these factors provides an opportunity for early intervention to improve treatment experience.

SUPPORTING PEOPLE WITH NEUROLOGICAL INJURY TO ENGAGE IN PHYSICAL ACTIVITY-FROM HOSPITAL TO HOME AND BEYOND

Accredited exercise physiologists are perfectly placed to assist people with neurological injury to reengage or explore new opportunities in physical activity. The benefits of physical activity in this population are well documented, however participation rates are low. Research shows that 75% of Australians living with a disability over the age of 15 do not meet the recommended levels of physical activity. While the need is high, the 2021-2022 ESSA workforce report found only 7% of accredited professionals are working with people living with neurological conditions. This highlights the gap between industry demand, workforce capacity and capability to deliver evidence based best practice. As clinicians with a collective experience of 30+ years, we have identified a need for greater dissemination of knowledge, experience, and practical translation of the evidence in this population. This presentation will explore the perspectives of three experienced AEP’s working from hospital to home and beyond. Each presenter will draw on their unique context and experience to describe the challenges and opportunities for AEP’s in each specific area. Sarah will provide an overview of the hospital setting and transition to community, highlighting the opportunities for early intervention and the role in supporting ongoing meaningful physical activity. Holly will discuss an exercise physiologist’s role in community rehabilitation, and our place in a multidisciplinary team. She will further explore what it looks like to move from exercise for rehabilitation mindset, into exercise for life. Emma will detail the opportunities in sports and competitions such as the Paralympics, particularly around how AEP’s can support performance goals. The team will close with provocative discussion around how AEP’s can contribute to the governments ELEVATE 2042 Strategy and we will invite AEP’s to join us on this journey.

Factors that impact mental health help-seeking in Australian adolescents: a life-course and socioecological perspective.

Help-seeking provides opportunities for early prevention and intervention of mental health problems. However, little is known about factors that impact help-seeking from a life-course and socioecological perspective. This study aimed to examine factors that impact adolescents' formal and informal help-seeking in three population groups: the whole population, adolescents with depressive symptoms and adolescents with anxiety symptoms. We drew on data from the Longitudinal Study of Australian Children birth cohort. Participants were followed from birth to 14-15 years. Based on previous literature and life-course and socioecological models, we measured a range of factors at individual and family, interpersonal and community levels at three time points (0-1 year, 4-5 years and 12-13 years). Outcomes at 14-15 years were help-seeking behaviours divided into three categories (formal help from health professionals, close informal help from friends and family members and broad informal help from other sources). Generalised linear models with logit-binomial links were used. There were varying and common patterns of influencing factors across the three population groups and sources of help-seeking. In the whole population, five common factors (female, previous depressive or anxiety symptoms, discrimination and bully victimisation) were associated with all three sources of help-seeking. Among adolescents with depressive or anxiety symptoms, four common barriers to help-seeking were male adolescents, speaking a language other than English, having poor relationships with peers and less social support. Both intrinsic and extrinsic barriers exist for adolescents' mental health help-seeking. There are priority groups of adolescents with mental health problems who are unlikely to seek support and warrant attention. There is a need for multisector collaborations to address barriers to mental health care and promote help-seeking among adolescents.

Utilization of Social Media for the Prevention and Control of HIV/AIDS: A Scoping Review.

Social media has been used widely in public health for understanding health risks and intervening to improve health. However, the utilization of social media for HIV prevention and control interventions has not been clearly characterized. We conducted a scoping review on the utilization of social media for HIV prevention and control to identify gaps in the literature and highlight opportunities for future research and intervention. A comprehensive search of seven databases was performed: PubMed, Embase, CINAHL Complete (EBSCO), PsycInfo (EBSCO), Scopus, and WOS (Science Citation Index Expanded (SCI-EXPANDED). The Preferred Reporting Items for Systematic Review and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) was used as a framework. A total of 790 articles were screened at the title and abstract level, and 78 were screened at the full-text level. Twenty-three articles met the eligibility criteria for review. We found that Facebook was still the most common social media service used to reach target populations. Lesbian, gay, bisexual and transgender (LGBT) individuals were the primary groups and were the most common targets of social media-based HIV prevention interventions. Outcomes of social media-based interventions, such as increased HIV testing, social networking and social support, condom use attitudes, behavioral skills, and research participation, were reported. Most social media-based interventions have emphasized HIV prevention, with fewer interventions focused on improving linkage to care and adherence to treatment among people living with HIV. Future studies may benefit from using social media for interventions to improve HIV-related outcomes in high-risk populations. This review highlights the potential and challenges of social media approaches for HIV/AIDS prevention and control.

Perceptions About Marijuana Use in Pregnancy Among Pregnant Users and Nonusers in a State Without Legalized Recreational Cannabis [ID 2683513

INTRODUCTION: Cannabis use in pregnancy is rising. The objective of this study is to compare attitudes regarding marijuana use among pregnant users and nonusers. METHODS: This was a prospective study (IRB #262700) in which a 35-question, anonymous survey was distributed to pregnant patients at outpatient prenatal visits across gestation. Questions included topics regarding marijuana use in pregnancy, perceived risks, and provider–patient education. RESULTS: 408/460 (88.7%) approached pregnant patients completed the survey. Self-reported rate of marijuana use during pregnancy: 11.8% (48/408). There were no ethnic differences in users and the most common age for use was 18–24 years (24/48). 79% (38/48) reported use two to three times weekly or greater. Average response score (Likert scale) for participants using marijuana compared to those who did not to the following statements were statistically significant and positive towards prenatal use: belief that pregnant patients should refrain from marijuana use: 2.31 versus 3.53 (&lt;.001); acceptability of medical marijuana: 3.68 versus 2.82 (&lt;.001); minimal health risk: 4.15 versus 2.96 (&lt;.001); support for legalization of recreational marijuana: 4.58 versus 3.51 (&lt;.001). Lack of counseling on cessation and risk of cannabis use in pregnancy were reported by 82% and 84% of participants with 74% of current users reporting lack of counseling. 54% of users desired more information regarding cannabis-related pregnancy complications. CONCLUSION: Higher-than-expected self-reported marijuana use during pregnancy. Lack of counseling on risks of marijuana use and importance of cessation highlight an important opportunity for counseling and intervention supporting current ACOG guidelines of SBIRT (screening, brief intervention, and treatment referral).

Trends in Substance Use and Prenatal Care in Pregnant Patients in a Delaware Hospital [ID 2683484

INTRODUCTION: 8.2% of pregnancy-associated deaths are attributable to opioid use. In Delaware, the rate of overdose deaths is 60% higher than nationally, and 12/14 pregnancy-associated deaths in 2021 were opioid related. This study examines demographic trends to identify targets for population-level interventions to decrease opioid abuse in pregnancy. METHODS: The data for this retrospective study were obtained via chart review, de-identified, and included all women with a positive drug screen who delivered in a Delaware community hospital between January 2018 and December 2021, examined for trends by half year. RESULTS: The majority of 677 women identified as White (70.9%), non-Hispanic/Latino (93.6%), and had government-issued insurance (86.6%). We saw high rates of emergency department (ED) utilization, with 66.6% of patients being seen in ED on at least one occasion prior to delivery. 33% of patients had less than five prenatal visits and 11.1% had no prenatal care. Women with government-issued insurance were significantly more likely to have insufficient prenatal care (P&lt;.001). A trend was present showing that women taking medication for opioid use disorder (MOUD) were more likely to have sufficient prenatal care, although this value was not significant (P=.10). CONCLUSION: Because of frequent visits in the antepartum period, pregnancy is a time where women may have increased interaction with the health care system, providing an important opportunity for intervention and care. Encounters in the ED may provide an important occasion to help connect patients to prenatal care resources, and clinics providing substance use-related care and prenatal care in one location would further decrease barriers to access care.

"WOOP is my safe haven": A qualitative feasibility and acceptability study of the Wish Outcome Obstacle Plan (WOOP) intervention for spouses of people living with early-stage dementia.

As symptoms emerge and worsen in people living with dementia, their spouses can benefit from behavioral interventions to support their adjustment as a care partner. The Wish Outcome Obstacle Plan (WOOP) intervention improves the well-being of spouses of people living with dementia early in the disease course, but intervention mechanisms and opportunities for improvement are unclear. The present study gave voice to spouses who participated in a trial of WOOP, describing how WOOP was incorporated into their lives and how it could be improved for future implementation. For this qualitative study, we conducted longitudinal semi-structured interviews among 21 spouses of people living with dementia (three interviews over three months; 63 interviews total). Codebook thematic analysis was performed. Three meta-themes were derived: (1) assessing baseline strengths and limitations of WOOP, (2) learning from experience, and (3) fine-tuning and sustaining WOOP. Participants described how WOOP addressed their interpersonal and emotional stressors, their responses to behaviors of the person living with dementia, and their relationship quality. Considerations for future intervention delivery (e.g., solo vs. in group settings) and instructions (e.g., encouraging writing vs. thinking through the four steps of WOOP) were identified as areas of improvement. WOOP was described as a practical, feasible, and desirable intervention for spouses at the early stages of their partner's dementia. Participants made WOOP easier to incorporate in their everyday lives by adapting the design into a mental exercise that they used as needed. Suggestions from participants specified how to make the everyday use of WOOP more feasible, sustainable, and applicable in a variety of contexts. ClinicalTrials.gov HIC 2000021852.

An extensive investigation into the bioactive component of breast milk, lactation, and clinical application of Galactagogues: A review

Nowadays, people are becoming more and more conscious of the link between nutrition, diet, and health. This bond is established from birth. In addition to being thought of as the finest nutrition for a newborn to preserve its physical and nutritional well-being, breastfeeding is usually seen as the best choice for a baby during the early stages of life. The American College of Obstetricians and Gynecologists (ACOG) advises breastfeeding exclusively for six months, after which the mother and child may decide to continue nursing in addition to introducing supplemental meals for the remainder of the baby's first year or beyond. Since breast milk includes a variety of bioactive ingredients, including proteins, vitamins, nucleotides, oligosaccharides, immunoglobulin, and some minerals, it is often regarded as the major nutritional supply for babies. A crucial opportunity for intervention to improve breastfeeding success is when inadequate supply of breast milk is often identified as the primary reason for early breastfeeding cessation. When non-drug breastfeeding support approaches fail to improve a persistently poor milk production, mothers frequently turn to drugs called galactagogues for assistance. Galactagogues function by interfering with the complex hormonal balance that controls breastfeeding, specifically with regard to prolactin and oxytocin. The available data about the effectiveness and safety of pharmacological treatments for lactation insufficiency is assessed in this narrative review. The majority of research has focused on the use of domperidone, and studies have indicated that there are modest short-term improvements for breast milk production. While there is less evidence supporting metoclopramide safety and efficacy than there is for domperidone, metoclopramide functions similarly to domperidone, thus in the event that domperidone is ineffective, it may be a good alternative for therapy. Lack of information on alternative medicines, such as metformin, oxytocin, prolactin, and herbal remedies, renders their clinical usage unreasonable. The study points out important gaps in the data and makes recommendations for possible future research topics related to galactagogues' impact on nursing.

Glucose hypometabolism prompts RAN translation and exacerbates C9orf72-related ALS/FTD phenotypes.

The most prevalent genetic cause of both amyotrophic lateral sclerosis and frontotemporal dementia is a (GGGGCC)n nucleotide repeat expansion (NRE) occurring in the first intron of the C9orf72 gene (C9). Brain glucose hypometabolism is consistently observed in C9-NRE carriers, even at pre-symptomatic stages, but its role in disease pathogenesis is unknown. Here, we show alterations in glucose metabolic pathways and ATP levels in the brains of asymptomatic C9-BAC mice. We find that, through activation of the GCN2 kinase, glucose hypometabolism drives the production of dipeptide repeat proteins (DPRs), impairs the survival of C9 patient-derived neurons, and triggers motor dysfunction in C9-BAC mice. We also show that one of the arginine-rich DPRs (PR) could directly contribute to glucose metabolism and metabolic stress by inhibiting glucose uptake in neurons. Our findings provide a potential mechanistic link between energy imbalances and C9-ALS/FTD pathogenesis and suggest a feedforward loop model with potential opportunities for therapeutic intervention.

Unique Profiles of Postpartum Family Needs and Evidence of Racial and Ethnic Disparities: Insights from Community Implementation of Family Connects.

To delineate specific family needs during the postpartum period using data from Family Connects (FC), a universal home-visiting initiative, and to scrutinize potential racial and ethnic disparities in these needs. FC implementation data spanned from July 1, 2009, to August 31, 2021, in seven counties across the USA. Data encompassed nurse-led in-home assessments for 34,119 families. Nurses evaluated needs across four domains (healthcare, parenting/childcare, safe home, and parent support) comprising 12 risk factors. Overall, families reported high levels of need, and community connections were facilitated for 57% of visited families. Significant differences in need profiles between whites and minority groups were revealed, reflecting both disparity and uniqueness. Employing the Oaxaca decomposition approach, we found that racial/ethnic disparities in socioeconomic attributes were associated with racial/ethnic gaps in the need profiles. The event of giving birth is both high risk and high opportunity for preventive intervention. Home-visiting programs, as an evidence-based approach, must address the diverse spectrum of familial needs comprehensively.

Validar un cuestionario para evaluar el Conocimiento y la Estigmatización del TEA en la población peruana: una necesidad real

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by difficulties in social interaction, communication, and restricted and repetitive patterns of behavior. Over the past few decades, there has been an increase in awareness and early detection of ASD, significantly improving opportunities for intervention and support. However, individuals with ASD often face stigmatization and discrimination due to a lack of understanding about their condition, which can negatively affect their emotional and social well-being. Therefore, it is crucial to promote greater education and awareness about ASD to reduce stigma and foster a more inclusive society. (1)

Basic Principles and Role of Endoscopic Ultrasound in Diagnosis and Differentiation of Pancreatic Cancer from Other Pancreatic Lesions: A Comprehensive Review of Endoscopic Ultrasound for Pancreatic Cancer.

Pancreatic cancer is one of the leading causes of cancer-related deaths worldwide. Pancreatic lesions consist of both neoplastic and non-neoplastic lesions and often pose a diagnostic and therapeutic challenge due to similar clinical and radiological features. In recent years, pancreatic lesions have been discovered more frequently as incidental findings due to the increased utilization and widespread availability of abdominal cross-sectional imaging. Therefore, it becomes imperative to establish an early and appropriate diagnosis with meticulous differentiation in an attempt to balance unnecessary treatment of benign pancreatic lesions and missing the opportunity for early intervention in malignant lesions. Endoscopic ultrasound (EUS) has become an important diagnostic modality for the identification and risk stratification of pancreatic lesions due to its ability to provide detailed imaging and acquisition of tissue samples for analysis with the help of fine-needle aspiration/biopsy. The recent development of EUS-based technology, including contrast-enhanced endoscopic ultrasound, real-time elastography-endoscopic ultrasound, miniature probe ultrasound, confocal laser endomicroscopy, and the application of artificial intelligence has significantly augmented the diagnostic accuracy of EUS as it enables better evaluation of the number, location, dimension, wall thickness, and contents of these lesions. This article provides a comprehensive overview of the role of the different types of EUS available for the diagnosis and differentiation of pancreatic cancer from other pancreatic lesions while discussing their key strengths and important limitations.

Association of gestational diabetes with long-term risk of premature mortality, and cardiovascular outcomes and risk factors: A retrospective cohort analysis in the UK Biobank.

To investigate the association of gestational diabetes mellitus (GDM) with premature mortality and cardiovascular (CVD) outcomes and risk factors. Parous women recruited to the UK Biobank cohort during 2006-2010 were followed up from their first delivery until 31 October 2021. The data were linked to Hospital Episode Statistics and mortality registries. Multivariate Cox proportional hazard models investigated associations of GDM with all-cause mortality, CVD, diabetes, hypertension and dyslipidaemia. The maximum total analysis time at risk and under observation was 9 694 090 person-years. Among 220 726 women, 1225 self-reported or had a recorded diagnosis of GDM. After adjusting for confounders and behavioural factors, GDM was associated with increased risk for premature mortality [hazard ratio (HR): 1.44, 95% confidence interval (CI): 1.12-1.86], particularly CVD-related death (HR: 2.38, 95% CI: 1.63-3.48), as well as incident total CVD (HR: 1.50, 95% CI: 1.30-1.74), non-fatal CVD (HR: 1.41, 95% CI: 1.20-1.65), diabetes (HR: 14.37, 95% CI: 13.51-15.27), hypertension (HR: 1.49, 95% CI: 1.38-1.60), and dyslipidaemia (HR: 1.30, 95% CI: 1.22-1.39). The total CVD risk was greater in women with GDM who did not later develop diabetes than in those with GDM and diabetes. Women with GDM are at increased risk of premature death and have increased CV risk, emphasizing the importance of interventions to prevent GDM. If GDM develops, the diagnosis represents an opportunity for future surveillance and intervention to reduce CVD risk factors, prevent CVD and improve long-term health.

Implementation opportunities and challenges to piloting a community-based drug-checking intervention for sexual and gender minority men in Vancouver, Canada: a qualitative study

BackgroundIn response to the overdose crisis, a collaborative group of two community-based organizations, a health authority and a research institute in Vancouver, Canada, implemented a pilot community-based drug checking (CBDC) intervention for sexual and gender minority (SGM) men. This study identified key factors that influenced the implementation of the CBDC intervention, including opportunities and challenges.MethodsWe conducted semi-structured interviews with seven pertinent parties involved in the CBDC, including policymakers, researchers and representatives from community-based organizations. These interviews were coded and analyzed using domains and constructs of the Consolidated Framework for Implementation Research.ResultsWhile drug-related stigma was identified as a challenge to deliver drug checking services, participants described the context of the overdose crisis as a key facilitator to engage collaboration between relevant organizations (e.g., health authorities, medical health officers, community organizations) to design, resource and implement the CBDC intervention. The implementation of the CBDC intervention was also influenced by SGM-specific needs and resources (e.g., lack of information about the drug supply). The high level of interest of SGM organizations in providing harm reduction services combined with the need to expand drug checking into community spaces represented two key opportunities for the CBDC intervention. Here, SGM organizations were recognized as valued partners that fostered a broader culture of harm reduction. Participants’ emphasis that knowing the composition of one’s drugs is a “right to know”, particularly in the context of a highly contaminated illicit drug market, emerged as a key implementation factor. Lastly, participants emphasized the importance of involving SGM community groups at all stages of the implementation process to ensure that the CBDC intervention is appropriately tailored to SGM men.ConclusionsThe context of the overdose crisis and the involvement of SGM organizations were key facilitators to the implementation of a drug checking intervention in SGM community spaces. This study offers contextualized understandings about how SGM knowledge and experiences can contribute to implement tailored drug checking interventions.