Suicidal Ideation and Self-injury Prevalence and Impairment in an Urban Integrated Primary Care Clinic

Introduction: Suicide is the second leading cause of death for adolescents (Rosenbaum & Ougrin, 2019). Pediatric primary care staff are often the first line of intervention for youth presenting with suicidal thoughts and NSSI (Taliaferro et al., 2013). The primary aim of the current study was to describe reported suicidal ideation, attempts, and NSSI in youth presenting to an urban integrated primary care setting. Methods: Within an outpatient pediatric primary care clinic, patients were referred by medical staff and introduced to behavioral health services. Patients were asked about their history of suicidal thoughts/attempts and NSSI (Mage = 12.63; SD = 4.51; 66.3% female, 66.3% Black; 69.6% Medicaid). Patients were also screened using the Pediatric Symptom Checklist-17 (PSC17; Gardner et al., 2007) and Top Problems (Weisz et al., 2001). Results: Seventeen percent of patients endorsed a history of either suicidal ideation/attempts or NSSI. Chi-square analyses identified a significant association between patient race and suicidal ideation/attempts [χ2(6) = 13.56, p = .035]. The sample’s mean internalizing score on the PSC17 fell within the clinical range (M = 6.13, SD = 2.49). Further results reflecting findings, interventions used, and top problem areas will be presented. Conclusion: Results highlight a demand for establishing and sustaining effective screening and engagement in mental health treatment for youth suicidality and self-injury in integrated care settings. Future directions will be discussed.https://scholarscompass.vcu.edu/gradposters/1111/thumbnail.jp

Towards a genome-wide transcriptogram: the Saccharomyces cerevisiae case

A genome modular classification that associates cellular processes to modules could lead to a method to quantify the differences in gene expression levels in different cellular stages or conditions: the transcriptogram, a powerful tool for assessing cell performance, would be at hand. Here we present a computational method to order genes on a line that clusters strongly interacting genes, defining functional modules associated with gene ontology terms. The starting point is a list of genes and a matrix specifying their interactions, available at large gene interaction databases. Considering the Saccharomyces cerevisiae genome we produced a succession of plots of gene transcription levels for a fermentation process. These plots discriminate the fermentation stage the cell is going through and may be regarded as the first versions of a transcriptogram. This method is useful for extracting information from cell stimuli/responses experiments, and may be applied with diagnostic purposes to different organisms

A Database and Evaluation for Classification of RNA Molecules Using Graph Methods

In this paper, we introduce a new graph dataset based on the representation of RNA. The RNA dataset includes 3178 RNA chains which are labelled in 8 classes according to their reported biological functions. The goal of this database is to provide a platform for investigating the classication of RNA using graph-based methods. The molecules are represented by graphs representing the sequence and base-pairs of the RNA, with a number of labelling schemes using base labels and local shape. We report the results of a number of state-of-the-art graph based methods on this dataset as a baseline comparison and investigate how these methods can be used to categorise RNA molecules on their type and functions. The methods applied are Weisfeiler Lehman and optimal assignment kernels, shortest paths kernel and the all paths and cycle methods. We also compare to the standard Needleman-Wunsch algorithm used in bioinformatics for DNA and RNA comparison, and demonstrate the superiority of graph kernels even on a string representation. The highest classication rate is obtained by the WL-OA algorithm using base labels and base-pair connections

Rethinking the patient: using Burden of Treatment Theory to understand the changing dynamics of illness

<b>Background</b> In this article we outline Burden of Treatment Theory, a new model of the relationship between sick people, their social networks, and healthcare services. Health services face the challenge of growing populations with long-term and life-limiting conditions, they have responded to this by delegating to sick people and their networks routine work aimed at managing symptoms, and at retarding - and sometimes preventing - disease progression. This is the new proactive work of patient-hood for which patients are increasingly accountable: founded on ideas about self-care, self-empowerment, and self-actualization, and on new technologies and treatment modalities which can be shifted from the clinic into the community. These place new demands on sick people, which they may experience as burdens of treatment.<p></p> <b>Discussion</b> As the burdens accumulate some patients are overwhelmed, and the consequences are likely to be poor healthcare outcomes for individual patients, increasing strain on caregivers, and rising demand and costs of healthcare services. In the face of these challenges we need to better understand the resources that patients draw upon as they respond to the demands of both burdens of illness and burdens of treatment, and the ways that resources interact with healthcare utilization.<p></p> <b>Summary</b> Burden of Treatment Theory is oriented to understanding how capacity for action interacts with the work that stems from healthcare. Burden of Treatment Theory is a structural model that focuses on the work that patients and their networks do. It thus helps us understand variations in healthcare utilization and adherence in different healthcare settings and clinical contexts

Bio-inspired carbon electro-catalysis for the oxygen reduction reaction

We report the synthesis, characterisation and catalytic performance of two nature-inspired biomass-derived electro-catalysts for the oxygen reduction reaction in fuel cells. The catalysts were prepared via pyrolysis of a real food waste (lobster shells) or by mimicking the composition of lobster shells using chitin and CaCO3 particles followed by acid washing. The simplified model of artificial lobster was prepared for better reproducibility. The calcium carbonate in both samples acts as a pore agent, creating increased surface area and pore volume, though considerably higher in artificial lobster samples due to the better homogeneity of the components. Various characterisation techniques revealed the presence of a considerable amount of hydroxyapatite left in the real lobster samples after acid washing and a low content of carbon (23%), nitrogen and sulphur (<1%), limiting the surface area to 23 m2/g, and consequently resulting in rather poor catalytic activity. However, artificial lobster samples, with a surface area of ≈200 m2/g and a nitrogen doping of 2%, showed a promising onset potential, very similar to a commercially available platinum catalyst, with better methanol tolerance, though with lower stability in long time testing over 10,000 s

Temperature-dependent polymorphism of N-(4-fluorophenyl)-1,5-dimethyl-1H-imidazole-4-carboxamide 3-oxide: experimental and theoretical studies on intermolecular interactions in the crystal state

X-ray analysis of N-(4-fluorophenyl)-1,5-dimethyl-1H-imidazole-4-carboxamide 3-oxide reveals the temperature-dependent polymorphism associated with the crystallographic symmetry conversion. The observed crystal structure transformation corresponds to a symmetry reduction from I41 /a (I) to P43 (II) space groups. The phase transition mainly concerns the subtle but clearly noticeable reorganization of molecules in the crystal space, with the structure of individual molecules left almost unchanged. The Hirshfeld surface analysis shows that various intermolecular contacts play an important role in the crystal packing, revealing graphically the differences in spatial arrangements of the molecules in both polymorphs. The N-oxide oxygen atom acts as a formally negatively charged hydrogen bonding acceptor in intramolecular hydrogen bond of N–H…O− type. The combined crystallographic and theoretical DFT methods demonstrate that the observed intramolecular N-oxide N–H…O hydrogen bond should be classified as a very strong charge-assisted and closed-shell non-covalent interaction

An exploratory phenomenological study exploring the experiences of people with systemic disease who have undergone lower limb amputation and its impact on their well-being.

Study Design A qualitative study utilising an iterative approach in line with the philosophy of interpretive phenomenology. Background Amputation is a life-changing event accompanied by challenges for the affected person with time-dependent depression often used to quantify its level of impact. There are varied factors that contribute to the occurrence of depression and its persistence. The aim of this study was to explore the experiences over time of people with diabetes and/or peripheral vascular disease following an amputation and the impact on their psychological wellbeing. Objectives To develop an understanding of the experience of living with an amputation and a chronic condition in order to help clinicians identify those in need of counselling support. Methodology 6 participants who had experienced a lower limb amputation associated with peripheral vascular disease/diabetes were interviewed on two occasions (baseline and four months). An Interpretative Phenomenological approach was utilised for both data collection and analysis. Results For these participants, amputation was part of the chronology of their chronic disease. It was the individual’s variable experience of health which impacted on their psychological well-being rather than the length of time since amputation. Conclusion The multivariable experience of amputation means that individually tailored counselling/psychological support is recommended