The genetic and environmental etiology of novel frequency-driven regional parcellations of abnormal white matter.

The prevalence of white matter disease increases with age and is associated with cerebrovascular disease, cognitive decline, and risk for dementia. MRI measures of abnormal signal in the white matter (AWM) provide estimates of damage, however, regional patterns of AWM may be differentially influenced by genetic or environmental factors. With our data-driven regional parcellation approach, we created a probability distribution atlas using Vietnam Era Twin Study of Aging (VETSA) data (n = 475, mean age 67.6 years) and applied a watershed algorithm to define separate regional parcellations. We report biometrical twin modeling for five anatomically distinct regions: (1) Posterior, (2) Superior frontal and parietal, (3) Anterior and inferior frontal with deep areas, (4) Occipital, and (5) Anterior periventricular. We tested competing multivariate hypotheses to identify unique influences and to explain sources of covariance among the parcellations. Family aggregation could be entirely explained by additive genetic influences, with additive genetic variance (heritability) ranging from 0.69 to 0.79. Most genetic correlations between parcellations ranged from moderate to high (rg = 0.57-0.85), although two were small (rg = 0.35-0.39), consistent with varying degrees of unique genetic influences. This proof-of-principle investigation demonstrated the value of our novel, data-driven parcellations, with identifiable genetic and environmental differences, for future exploration.

Using gene and gene-set association tests to identify lethal prostate cancer genes.

BACKGROUND: Recent advances in the detection and treatment of prostate cancer (PCa) have reduced morbidity and mortality from this common cancer. Despite these improvements, PCa remains the second leading cause of cancer death in men in the United States. Further understanding of the genetic underpinnings of lethal PCa is required to drive risk detection and prevention and ultimately reduce mortality. We therefore set out to identify germline variants associated with cases of lethal prostate cancer (LPCa). METHODS: Using a two-stage study design, we compared whole-exome sequencing data of 550 LPCa patients to 488 healthy male controls. Men were classified as having LPCa based on medical record review. Candidate genes were identified using gene- and gene-set-based rare truncating variant association tests. Case-control burden testing through Firth's penalized logistic regression and case-gnomAD allelic burden testing through a one-sided mid-p Fisher's exact test were conducted. Each gene's p-values from these tests were combined into an omnibus p-value for candidate gene selection. In the subsequent validation stage, genes were assessed using the UK Biobank and Firth's penalized logistic regression for each ancestry, combined through meta-analysis. RESULTS: Gene-based rare variant association tests identified 12 genes nominally associated with LPCa. Rare-variant association tests identified a gene set with a significantly higher burden of truncating germline mutations in LPCa patients than controls. Combining gene- and gene-set test results, four nominally significant genes (PPP1R3A, TG, PPFIBP2, and BTN3A3) were selected as candidates. Subsequent validation using the UK Biobank found that PPP1R3A was significantly associated with LPCa risk (odds ratio 2.34, CI 1.20-4.59). Specifically, pGln662ArgfsTer7 was identified as the predominant variant in PPP1R3A among LPCa patients in our dataset. CONCLUSIONS: Both individual gene and gene-set analyses identified candidates associated with LPCa. The novel association of PPP1R3A and LPCa risk merits further investigation.

Defining Suicidal Thought and Behavior Phenotypes for Genetic Studies.

Background: Standardized definitions of suicidality phenotypes, including suicidal ideation (SI), attempt (SA), and death (SD) are a critical step towards improving understanding and comparison of results in suicide research. The complexity of suicidality contributes to heterogeneity in phenotype definitions, impeding evaluation of clinical and genetic risk factors across studies and efforts to combine samples within consortia. Here, we present expert and data-supported recommendations for defining suicidality and control phenotypes to facilitate merging current/legacy samples with definition variability and aid future sample creation. Methods: A subgroup of clinician researchers and experts from the Suicide Workgroup of the Psychiatric Genomics Consortium (PGC) reviewed existing PGC definitions for SI, SA, SD, and control groups and generated preliminary consensus guidelines for instrument-derived and international classification of disease (ICD) data. ICD lists were validated in two independent datasets (N = 9,151 and 12,394). Results: Recommendations are provided for evaluated instruments for SA and SI, emphasizing selection of lifetime measures phenotype-specific wording. Recommendations are also provided for defining SI and SD from ICD data. As the SA ICD definition is complex, SA code list recommendations were validated against instrument results with sensitivity (range = 15.4% to 80.6%), specificity (range = 67.6% to 97.4%), and positive predictive values (range = 0.59-0.93) reported. Conclusions: Best-practice guidelines are presented for the use of existing information to define SI/SA/SD in consortia research. These proposed definitions are expected to facilitate more homogeneous data aggregation for genetic and multisite studies. Future research should involve refinement, improved generalizability, and validation in diverse populations.

Imaging macular carotenoids and their related proteins in the human retina with confocal resonance Raman and fluorescence microscopy.

Lutein and zeaxanthin are highly concentrated at the central region of the human retina, forming a distinct yellow spot known as the macula lutea. The delivery and retention of the macular pigment carotenoids in the macula lutea involves many proteins, but their exact roles remain incompletely understood. In our study, we examined the distribution of the twelve known macular carotenoid-related proteins within the human macula and the underlying retinal pigment epithelium (RPE) using both fluorescence and Raman modes on our confocal resonance Raman microscope. Additionally, we assessed protein and gene expression through Western blot analysis and a single-cell RNA sequencing database. Our findings revealed that GSTP1, BCO2, and Aster-B exhibited distribution patterns similar to the macular carotenoids, with higher expression levels within the macular region compared to the periphery, while SR-BI and ABCA1 did not exhibit specific distribution patterns within the macula or RPE. Interestingly, LIPC, SR-BI's partner, accumulated specifically in the sub-foveal RPE. All three of these carotenoid transport proteins were found to be highly expressed in the RPE. These results offer valuable insights into the roles these proteins play in the formation of the macula lutea.

Validity, reliability, responsiveness, and clinically meaningful change threshold estimates of the National Comprehensive Cancer Network-Functional Assessment of Cancer Therapy-Breast Cancer Symptom Index (NFBSI-16).

BACKGROUND: Breast cancer is one of the most common cancers in women. Patient-reported outcome measures are used to evaluate patients' health-related quality of life in clinical breast cancer studies. This study evaluated the structure, validity, reliability, and responsiveness of the National Comprehensive Cancer Network-Functional Assessment of Cancer Therapy-Breast Cancer Symptom Index (NFBSI-16) subscales in a clinical trial featuring patients with advanced/metastatic breast cancer (aBC), and estimated NFBSI-16 meaningful change thresholds. METHODS: Data from 101 patients with aBC enrolled in a phase II trial (Xenera-1) were included for psychometric evaluation of the NFBSI-16. Subscale structure was evaluated by assessing inter-item correlations, item-total correlations, and internal consistency (cycles 2 and 5). Validity was assessed using scale-level convergent validity (cycles 2 and 5) and known-groups (Baseline). Reliability was analysed via test-retest at cycles 3-4, and responsiveness to improvement and worsening was evaluated at cycles 5, 7, and 9. Meaningful change thresholds were estimated using anchor-based methods (supported by distribution-based methods) at cycles 5, 7, and 9. RESULTS: NFBSI-16 internal consistency was acceptable, but item-total correlations suggested that its subscales and the GP5 item (side-effect of treatment) scores may be preferred over a total score. Convergent and known-groups evidence supported NFBSI-16 validity. Test-retest reliability was good to excellent for Total and DRS-P (disease-related symptoms: physical) scales, and moderate for the GP5 item. Responsiveness to worsening was generally demonstrated, but responsiveness to improvement could not be demonstrated due to limited observed improvement. Anchor-based meaningful change thresholds were estimated for DRS-P and Total scores. CONCLUSION: This study provides evidence that the NFBSI-16 has desirable psychometric properties for use in clinical studies in aBC. It also provides estimates of group- and individual-level meaningful change thresholds to facilitate score interpretation in future aBC research.

Unconditional Cash and Breastfeeding, Child Care, and Maternal Employment among Families with Young Children Residing in Poverty.

Poverty interferes with parents' breastfeeding, child-care, and employment options and ability to meet their parenting goals. This study-the first randomized controlled trial of early childhood poverty reduction in the United States-investigates how increased economic resources affect 1,000 low-income US mothers' breastfeeding, child-care, and employment practices and the ability to meet their intentions for these practices in the first year of their infant's life. The likelihood and length of breastfeeding, use of nonparental child care, and maternal employment did not statistically differ among mothers who received a high ($333) or low ($20) monthly unconditional cash gift. The higher monthly cash gift, however, delayed the starting age of child care by almost 1 month and increased mothers' ability to meet their breastfeeding intentions reported at birth.

Central Retinal Artery Occlusion Leading to Diagnosis of Eosinophilic Granulomatous Polyangiitis After Adenovirus Vector COVID-19 Vaccination.

Purpose: To present a case of central retinal artery occlusion (CRAO) leading to the diagnosis of eosinophilic granulomatosis with polyangiitis (Churg-Strauss syndrome) within 1 week of an adenovirus vector COVID-19 vaccination. Methods: A case was reviewed. Results: A 50-year-old man with atopic dermatitis and asthma presented with acute painless vision loss in 1 eye. An examination and imaging findings showed CRAO. Further evaluation found eosinophilia and elevated inflammatory markers. A workup for vasculitis showed elevated cytoplasmic-antineutrophil cytoplasmic antibody, perinuclear-antineutrophil cytoplasmic antibody, myeloperoxidase antibody, rheumatoid factor, and total immunoglobulin E. Skin biopsies were consistent with eosinophilic granulomatosis with polyangiitis. Steroids, cyclophosphamide, and mepolizumab were initiated. At 1 year, the patient's systemic symptoms had improved but his vision had not. Conclusions: Few reports exist of CRAO associated with eosinophilic granulomatosis with polyangiitis, with no other instances related to an adenovirus vector COVID-19 vaccination. Treating a systemic vasculitis early can be vision saving in the fellow eye and prevent systemic life-threatening complications.

Exercise and nutrition to improve cancer Treatment-Related outcomes (ENICTO).

Chemotherapy treatment-related side-effects are common and increase the risk of suboptimal outcomes. Exercise interventions during cancer treatment improve self-reported physical functioning, fatigue, anxiety, and depression, but it is unclear whether these interventions improve important clinical outcomes, such as chemotherapy relative dose intensity (RDI). The National Cancer Institute funded the Exercise and Nutrition to Improve Cancer Treatment-Related Outcomes (ENICTO) Consortium, to address this knowledge gap. This paper describes the mechanisms hypothesized to underpin intervention effects on clinically-relevant treatment outcomes, briefly outlines each project's distinct research aims, summarizes the scope and organizational structure of ENICTO, and provides an overview of the integrated common data elements used to pursue research questions collectively. In addition, the paper includes a description of consortium-wide activities and broader research community opportunities for collaborative research. Findings from the ENICTO Consortium have the potential to accelerate a paradigm shift in oncology care such that cancer patients could receive exercise and nutrition programming as the standard of care in tandem with chemotherapy to improve RDI for a curative outcome.

Social vulnerability and prenatal diagnosis.

OBJECTIVES: There are limited data on how neighborhood-level risk factors affect the likelihood of having prenatal diagnosis. Neighborhood social vulnerability can be quantified and ranked using the social vulnerability index (SVI), a tool that measures the cumulative effect of external stressors in the local environment that may affect health outcomes. The objective of the study was to determine the relationship between SVI and prenatal diagnosis among pregnant patients who received genetic counseling. METHODS: Retrospective cohort study of all pregnant patients who had genetic counseling at two hospitals in New York between January 2019 and December 2022. For each patient, the address of residence was linked to an SVI score (primary exposure) based on census tract. SVI scores were subdivided into fifths and analyzed categorically. The primary outcome was prenatal diagnosis (yes/no). Multivariable logistic regression was performed. RESULTS: A total of 5,935 patients were included for analysis and 231 (3.9 %) had prenatal diagnosis. On regression analysis, no association between SVI and prenatal diagnosis was observed. Patients who had a diagnostic procedure were more likely to be English speaking (aOR 1.80; 95 % CI 1.13-2.87), carriers of a genetic disorder (aOR 1.94; 95 % CI 1.32-2.86), had increased NT (aOR 6.89; 95 % CI 3.65-13.00), abnormal NIPS (aOR 9.58; 95 % CI 5.81-15.80), or had fetal structural anomalies (aOR 10.60; 95 % CI 6.62-16.96). No differences were seen based on race and ethnicity group, insurance type, or marital status. CONCLUSIONS: SVI score does not affect rate of prenatal diagnosis. Findings may differ in other geographic regions and populations.

Discovery and generalization of tissue structures from spatial omics data.

Tissues are organized into anatomical and functional units at different scales. New technologies for high-dimensional molecular profiling in situ have enabled the characterization of structure-function relationships in increasing molecular detail. However, it remains a challenge to consistently identify key functional units across experiments, tissues, and disease contexts, a task that demands extensive manual annotation. Here, we present spatial cellular graph partitioning (SCGP), a flexible method for the unsupervised annotation of tissue structures. We further present a reference-query extension pipeline, SCGP-Extension, that generalizes reference tissue structure labels to previously unseen samples, performing data integration and tissue structure discovery. Our experiments demonstrate reliable, robust partitioning of spatial data in a wide variety of contexts and best-in-class accuracy in identifying expertly annotated structures. Downstream analysis on SCGP-identified tissue structures reveals disease-relevant insights regarding diabetic kidney disease, skin disorder, and neoplastic diseases, underscoring its potential to drive biological insight and discovery from spatial datasets.

Silent Struggles: Traumatic Brain Injuries and Mental Health in Law Enforcement.

OBJECTIVE: To determine the prevalence of head injuries (HIs), posttraumatic stress disorder (PTSD), and depressive symptoms in law enforcement officers (LEOs) and (2) the association between HIs and psychological health conditions. SETTING: County-level survey administered via Research Electronic Data Capture. PARTICIPANTS: A total of 381 LEOs completed the survey (age = 43 ± 11 years; 40 [11%] females; time as LEO = 1-50 years, median = 15 years). DESIGN: Cross-sectional study. MAIN MEASURES: We examined the prevalence of HIs (the Ohio State University Traumatic Brain Injury Identification Method), PTSD (PTSD Checklist-Civilian [PCL-C]), and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]). We used Mann-Whitney U and chi-square analyses to compare PTSD and depressive symptoms between those with and without a HI history. RESULTS: There were 282 (74%) participants who reported a lifetime history of 1 or more HIs; 116 (30%) sustained 1 or more HIs on the job. PCL-C scores ranged 17 to 85 (median = 27); 33 (10%) participants met or exceeded the clinical cutoff score of 50 to indicate a positive PTSD screening. Participants with a HI history (median = 29) had higher PCL-C scores than those with no HI history (median = 24; P < .001), but the proportion of participants who met the clinical cutoff for PTSD was not different between those with (n = 28, 11%) and without (n = 5, 5%) a HI history (X2 = 2.52, P = .112, odds ratio = 2.18; 95% confidence interval, 0.82-5.83). PHQ-9 scores ranged 0 to 20 (median = 3); 124 (36%) participants reported mild or greater depressive symptoms. Participants with a HI history (median = 3) had higher depressive symptoms than those with no HI history (median = 2; P = .012). The proportion of participants with mild or greater depressive symptoms was higher among those with a HI history (n = 99, 39%) than without (n = 25, 27%; X2 = 4.34, odds ratio = 1.74; 95% confidence interval, 1.03-2.93). CONCLUSION: HIs are prevalent in LEOs, which may have consequences for their performance, well-being, and career longevity. PTSD and depressive symptoms are higher in those with a HI history, suggesting LEOs need better traumatic brain injuries and mental health resources.

Transcriptomics and epigenetic data integration learning module on Google Cloud.

Multi-omics (genomics, transcriptomics, epigenomics, proteomics, metabolomics, etc.) research approaches are vital for understanding the hierarchical complexity of human biology and have proven to be extremely valuable in cancer research and precision medicine. Emerging scientific advances in recent years have made high-throughput genome-wide sequencing a central focus in molecular research by allowing for the collective analysis of various kinds of molecular biological data from different types of specimens in a single tissue or even at the level of a single cell. Additionally, with the help of improved computational resources and data mining, researchers are able to integrate data from different multi-omics regimes to identify new prognostic, diagnostic, or predictive biomarkers, uncover novel therapeutic targets, and develop more personalized treatment protocols for patients. For the research community to parse the scientifically and clinically meaningful information out of all the biological data being generated each day more efficiently with less wasted resources, being familiar with and comfortable using advanced analytical tools, such as Google Cloud Platform becomes imperative. This project is an interdisciplinary, cross-organizational effort to provide a guided learning module for integrating transcriptomics and epigenetics data analysis protocols into a comprehensive analysis pipeline for users to implement in their own work, utilizing the cloud computing infrastructure on Google Cloud. The learning module consists of three submodules that guide the user through tutorial examples that illustrate the analysis of RNA-sequence and Reduced-Representation Bisulfite Sequencing data. The examples are in the form of breast cancer case studies, and the data sets were procured from the public repository Gene Expression Omnibus. The first submodule is devoted to transcriptomics analysis with the RNA sequencing data, the second submodule focuses on epigenetics analysis using the DNA methylation data, and the third submodule integrates the two methods for a deeper biological understanding. The modules begin with data collection and preprocessing, with further downstream analysis performed in a Vertex AI Jupyter notebook instance with an R kernel. Analysis results are returned to Google Cloud buckets for storage and visualization, removing the computational strain from local resources. The final product is a start-to-finish tutorial for the researchers with limited experience in multi-omics to integrate transcriptomics and epigenetics data analysis into a comprehensive pipeline to perform their own biological research.This manuscript describes the development of a resource module that is part of a learning platform named ``NIGMS Sandbox for Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox [16] at the beginning of this Supplement. This module delivers learning materials on the analysis of bulk and single-cell ATAC-seq data in an interactive format that uses appropriate cloud resources for data access and analyses.

Clinical Performance of the BD Respiratory Viral Panel for BD MAX™ System in Detecting SARS-CoV-2, Influenza A and B, and Respiratory Syncytial Virus.

Using a nasopharyngeal (NP) or anterior nasal (NS) swab from prospectively collected or retrospective specimens, we assessed the clinical performance of the BD Respiratory Viral Panel (BD RVP) for BD MAX System against FDA-cleared or authorized comparators. Across prospective and retrospective specimens, positive percent agreement (PPA) was ≥ 98.4% for SARS-CoV-2, ≥ 96.7% for influenza (flu) A, ≥ 91.7% for respiratory syncytial virus (RSV), and 100% for flu B (retrospective only) while negative percent agreement (NPA) was ≥ 97.7% across all targets, leading to the assay FDA clearance. A head-to-head comparison of NS versus NP results with BD RVP was also performed; PPA was ≥ 90% and NPA ≥ 98.2% for SARS-CoV-2, flu A and RSV. These findings confirm that the BD MAX RVP assay performs well for detection and differentiation of the three viruses in NP and NS specimens, with strong interrater agreements for NS versus NP comparisons.

Global Neurosurgery: An Overview.

In the following article, we define the practice of global neurosurgery and review the major historical events defining this movement within the larger context of global surgery. The current state of the neurosurgical workforce, disease burden, and ongoing collaborative efforts are highlighted. Ethical practice leading the sustainability is discussed, as well as future targets for the global community as we look beyond the next decade of opportunities to affect the neurosurgical burden of disease.

A twin analysis to estimate genetic and environmental factors contributing to variation in weighted gene co-expression network module eigengenes.

Multivariate network-based analytic methods such as weighted gene co-expression network analysis are frequently applied to human and animal gene-expression data to estimate the first principal component of a module, or module eigengene (ME). MEs are interpreted as multivariate summaries of correlated gene-expression patterns and network connectivity across genes within a module. As such, they have the potential to elucidate the mechanisms by which molecular genomic variation contributes to individual differences in complex traits. Although increasingly used to test for associations between modules and complex traits, the genetic and environmental etiology of MEs has not been empirically established. It is unclear if, and to what degree, individual differences in blood-derived MEs reflect random variation versus familial aggregation arising from heritable or shared environmental influences. We used biometrical genetic analyses to estimate the contribution of genetic and environmental influences on MEs derived from blood lymphocytes collected on a sample of N = 661 older male twins from the Vietnam Era Twin Study of Aging (VETSA) whose mean age at assessment was 67.7 years (SD = 2.6 years, range = 62-74 years). Of the 26 detected MEs, 14 (56%) had statistically significant additive genetic variation with an average heritability of 44% (SD = 0.08, range = 35%-64%). Despite the relatively small sample size, this demonstration of significant family aggregation including estimates of heritability in 14 of the 26 MEs suggests that blood-based MEs are reliable and merit further exploration in terms of their associations with complex traits and diseases.

Testing the causal impact of amyloidosis on total Tau using a genetically informative sample of adult male twins.

INTRODUCTION: The amyloid cascade hypothesis predicts that amyloid-beta (Aß) aggregation drives tau tangle accumulation. We tested competing causal and non-causal hypotheses regarding the direction of causation between Aß40 and Aß42 and total Tau (t-Tau) plasma biomarkers. METHODS: Plasma Aß40, Aß42, t-Tau, and neurofilament light chain (NFL) were measured in 1,035 men (mean = 67.0 years) using Simoa immunoassays. Genetically informative twin modeling tested the direction of causation between Aßs and t-Tau. RESULTS: No clear evidence that Aß40 or Aß42 directly causes changes in t-Tau was observed; the alternative causal hypotheses also fit the data well. In contrast, exploratory analyses suggested a causal impact of the Aß biomarkers on NFL. Separately, reciprocal causation was observed between t-Tau and NFL. DISCUSSION: Plasma Aß40 or Aß42 do not appear to have a direct causal impact on t-Tau. In contrast, Aß aggregation may causally impact NFL in cognitively unimpaired men in their late 60s.

The 100 highest-cited original articles in large vessel occlusions: A bibliometric analysis.

BACKGROUND: Large vessel occlusions (LVO) are a common etiology of morbidity and mortality. The current literature lacks a synthesis of the landscape and trends in research. OBJECTIVE: We aimed to conduct a bibliometric analysis of the 100 most cited original articles on LVOs to assess the current state of research. METHODS: Scopus database was queried from inception to December 2022 to identify the most cited original articles from 4506 retrieved records on LVOs. Publication year, country of origin, total and average annual citation count, and type of study were collected for each article. The journal impact factor (JIF) was obtained from the Journal Citation Reports database. RESULTS: The articles were published between 1994 and 2021, with most (n = 82) published during the 2011-2020 decade. The median total citation count was 108.5, with an interquartile range (IQR) of 81-149.5. The median (IQR) average annual citation count was 15.9 (11.5-22.9). Half of the articles were published in Stroke (n = 35) and Journal of NeuroInterventional Surgery (n = 15), with JIFs ranging from 1.8 to 202.7. The USA was the leading country in contributing to LVO research (n = 45). Most studies focused on the treatment (n = 63) and diagnosis (n = 22) of LVOs. CONCLUSIONS: Most articles were published during the past decade, highlighting the impact of the clinical trials of endovascular treatment on the discipline. With several ongoing clinical trials on the horizon, continued growth of the field is anticipated in the upcoming decades.

Barriers to healthcare transition for spina bifida patients: a systematic review.

OBJECTIVE: Patients with spina bifida (SB) were historically followed by pediatric providers throughout their entire lives. Through medical and surgical advancements, now more pediatric SB patients are living well into adulthood. Nonetheless, many patients fail to successfully transition to appropriate adult healthcare providers. The goal of this study was to identify factors that helped facilitate or hinder the successful transition of adolescent and young adult (AYA) SB patients to adult providers. METHODS: A systematic review was conducted exploring the transition care of SB patients using the PubMed, Embase, and Scopus databases. Titles and abstracts from articles identified were read and selected for full-text review. Studies meeting the inclusion criteria were reviewed in full and analyzed for study design, populations, interventions, and factors influencing transition. RESULTS: The primary search identified 2050 articles, of which 20 were included in the final review. Thirteen studies discussed factors relating to neurosurgical care, 8 referenced gastrointestinal and genitourinary considerations, 11 examined cognitive and psychosocial factors, and 17 explored healthcare system factors. Several barriers were consistently reported regarding communication, patient and parental attitudes and perceptions, and failure to embrace formalized and transparent protocols. Conflicting results were reported regarding the influence medical comorbidities had on a patient's ability to transition. CONCLUSIONS: The process of transitioning AYA SB patients to adult care is complex, involving an interplay of structural and psychosocial factors. The findings in this review suggest that some barriers can be alleviated with improved education, planning, and awareness of factors that influence transition care.

Prognostic significance of troponin in patients with malignancy (NIHR Health Informatics Collaborative TROP-MALIGNANCY study).

BACKGROUND: Cardiac troponin is commonly raised in patients presenting with malignancy. The prognostic significance of raised troponin in these patients is unclear. OBJECTIVES: We sought to investigate the relation between troponin and mortality in a large, well characterised cohort of patients with a routinely measured troponin and a primary diagnosis of malignancy. METHODS: We used the National Institute for Health Research (NIHR) Health Informatics Collaborative data of 5571 patients, who had troponin levels measured at 5 UK cardiac centres between 2010 and 2017 and had a primary diagnosis of malignancy. Patients were classified into solid tumour or haematological malignancy subgroups. Peak troponin levels were standardised as a multiple of each laboratory's 99th -percentile upper limit of normal (xULN). RESULTS: 4649 patients were diagnosed with solid tumours and 922 patients with haematological malignancies. Raised troponin was an independent predictor of mortality in all patients (Troponin > 10 vs. <1 adjusted HR 2.01, 95% CI 1.73 to 2.34), in solid tumours (HR 1.84, 95% CI 1.55 to 2.19), and in haematological malignancy (HR 2.72, 95% CI 1.99 to 3.72). There was a significant trend in increasing mortality risk across troponin categories in all three subgroups (p < 0.001). CONCLUSION: Raised troponin level is associated with increased mortality in patients with a primary diagnosis of malignancy regardless of cancer subtype. Mortality risk is stable for patients with a troponin level below the ULN but increases as troponin level increases above the ULN in the absence of acute coronary syndrome.

"I've lost my children to vaping": A frame analysis of the Australian media's construction of the "Youth vaping crisis".

BACKGROUND: Youth vaping has become an issue of extreme concern in the Australian public and political discourse, recently culminating in the announcement of further restrictions on the sale and use of nicotine vaping products (NVPs) by the Federal Government. We examine how youth vaping has been framed in the Australian news media in the six months leading up to the announcement of these new measures in May 2023. METHODS: Drawing a sample from the Factiva database, we conducted a frame analysis on articles published during this six month period, identifying media framings that included the necessary components of a distinct Problem Definition, Causal Attribution, Moral Evaluation, and Treatment Recommendation. RESULTS: We identified 123 relevant articles, and four dominant framings being applied. Most common was that of A Failure of Control, followed by A Poisonous Epidemic, A Health Behaviour Needing Regulation, and A Moral Failure. CONCLUSION: These findings are discussed in the context of moral panic theory and how framings are constructed by the media in collaboration with policy actors to support particular policy measures.