Mindfulness-Based Educational Module for Nurses Caring for Pediatric Mental Health Patients

BACKGROUND: Emergency pediatric nurses have the added stress of not only caring for medical patients but must also care for patients experiencing mental health issues. Many nurses feel unprepared to care for this specialized patient population. To bridge this gap, mindfulness-based interventions (MBIs) have been shown to provide nurses with the skills needed to care for mental health patients. This same concept can be applied to pediatric patients. Pediatric-focused mindfulness-based techniques can be used to help pediatric patients manage their symptoms. LOCAL PROBLEM: The setting for this project was an urban pediatric emergency department in East Tennessee. At the state and national level, there is a lack of available inpatient psychiatric beds for children requiring higher level of care. This has contributed to longer lengths of stay for patients holding in pediatric emergency departments. The purpose of this evidence-based practice project was for pediatric emergency room nurses to participate in a computer-based educational module that teaches implementing pediatric-focused MBIs in a pediatric setting. METHODS: The Johns Hopkins Evidence-Based Practice Model and Lewin’s 3-Step Change Theory were used to guide this project’s development, plan, and intervention implementation. Pre-module, immediate post-module, and 1-month post-module self-reports were measured with the use of the C-Scale Confidence Tool. INTERVENTIONS: To best determine the impact of this intervention, nurse confidence was measured using the C-Scale Confidence tool. Nurses’ self-reports before and after the intervention were collected to see if there was an improvement in their confidence in caring for pediatric mental health patients. RESULTS: Nurses\u27 self-reports showed an increase in nursing confidence after the implementation of a mindfulness-based educational module. Self-report nursing confidence scores increased from mean confidence of 3.18 to 4.13 (pre-module compared to the 1-month follow-up evaluation). CONCLUSIONS: Use of a mindfulness-based educational module resulted in a significant increase in nursing confidence when caring for pediatric mental health patients

Hypoglycémie nocturne et habitudes alimentaires en soirée chez l'adulte atteint de diabète de type 1

L’hypoglycémie est une barrière au traitement du diabète de type 1 (DbT1). La collation au coucher est recommandée pour prévenir l’hypoglycémie nocturne (HN), mais son efficacité n’est pas démontrée. Objectif : Déterminer si une prise alimentaire en soirée est associée à la survenue d’HN. Étude observationnelle : 100 DbT1 ont porté un lecteur de glucose en continu et complété un journal alimentaire pendant 72 heures. L’HN est survenue durant 28 % des nuits. Une prise alimentaire en soirée n’était pas associée à l’HN. Toutefois, dans un modèle ajusté, l’apport en glucides en soirée était positivement associé aux HN (avec injection d’insuline rapide) et l’apport en protéines inversement associé aux HN (sans injection d’insuline rapide). Manger en soirée ne semble pas associé à moins d’HN. Des études contrôlées sont nécessaires pour comprendre l’effet de la collation au coucher sur le contrôle glycémique et le rôle de l’insuline rapide injectée en soirée.Hypoglycemia remains a limiting factor of type 1 diabetes (T1D) treatment. Bedtime snack is often suggested to reduce nocturnal hypoglycemia (NH), but its effectiveness is not supported by evidence-based data. Objective: To determine the association between post-dinner dietary intake and NH occurrence. This is an observational study during which 100 T1D wore a blinded continuous glucose monitoring system and completed a food diary for 72 hours. NH occurred on 28 % of the 282 nights studied. Post-dinner dietary intake was not associated with NH. However, in multivariate models, carbohydrate intake was positively associated with NH (when rapid insulin was injected) and protein intake was inversely associated with NH (without rapid insulin injected). Post-dinner dietary intake does not seem to be associated with a reduce occurrence of NH. Further studies are needed to better understand the impact of bedtime snack on glycemic control and the role of the injection of rapid insulin in the evening

Le Forum, Vol. 41 No. 4

https://digitalcommons.library.umaine.edu/francoamericain_forum/1093/thumbnail.jp

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Human and murine clonal CD8+ T cell expansions arise during tuberculosis because of TCR selection

The immune system can recognize virtually any antigen, yet T cell responses against several pathogens, including Mycobacterium tuberculosis, are restricted to a limited number of immunodominant epitopes. The host factors that affect immunodominance are incompletely understood. Whether immunodominant epitopes elicit protective CD8+ T cell responses or instead act as decoys to subvert immunity and allow pathogens to establish chronic infection is unknown. Here we show that anatomically distinct human granulomas contain clonally expanded CD8+ T cells with overlapping T cell receptor (TCR) repertoires. Similarly, the murine CD8+ T cell response against M. tuberculosis is dominated by TB10.44-11-specific T cells with extreme TCRß bias. Using a retro genic model of TB10.44-11-specific CD8+ Tcells, we show that TCR dominance can arise because of competition between clonotypes driven by differences in affinity. Finally, we demonstrate that TB10.4-specific CD8+ T cells mediate protection against tuberculosis, which requires interferon-? production and TAP1-dependent antigen presentation in vivo. Our study of how immunodominance, biased TCR repertoires, and protection are inter-related, provides a new way to measure the quality of T cell immunity, which if applied to vaccine evaluation, could enhance our understanding of how to elicit protective T cell immunity.This work was supported by the Portuguese Foundation for Science and Technology individual fellowship (CNA) www.fct.pt, a National Institutes of Health Grant R01 AI106725 (SMB) www.nih.gov, and a Center for AIDS Research Grant P30 AI 060354 (SMB) www.nih.gov. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Molecular and Evolutionary Bases of Within-Patient Genotypic and Phenotypic Diversity in Escherichia coli Extraintestinal Infections

Although polymicrobial infections, caused by combinations of viruses, bacteria, fungi and parasites, are being recognised with increasing frequency, little is known about the occurrence of within-species diversity in bacterial infections and the molecular and evolutionary bases of this diversity. We used multiple approaches to study the genomic and phenotypic diversity among 226 Escherichia coli isolates from deep and closed visceral infections occurring in 19 patients. We observed genomic variability among isolates from the same site within 11 patients. This diversity was of two types, as patients were infected either by several distinct E. coli clones (4 patients) or by members of a single clone that exhibit micro-heterogeneity (11 patients); both types of diversity were present in 4 patients. A surprisingly wide continuum of antibiotic resistance, outer membrane permeability, growth rate, stress resistance, red dry and rough morphotype characteristics and virulence properties were present within the isolates of single clones in 8 of the 11 patients showing genomic micro-heterogeneity. Many of the observed phenotypic differences within clones affected the trade-off between self-preservation and nutritional competence (SPANC). We showed in 3 patients that this phenotypic variability was associated with distinct levels of RpoS in co-existing isolates. Genome mutational analysis and global proteomic comparisons in isolates from a patient revealed a star-like relationship of changes amongst clonally diverging isolates. A mathematical model demonstrated that multiple genotypes with distinct RpoS levels can co-exist as a result of the SPANC trade-off. In the cases involving infection by a single clone, we present several lines of evidence to suggest diversification during the infectious process rather than an infection by multiple isolates exhibiting a micro-heterogeneity. Our results suggest that bacteria are subject to trade-offs during an infectious process and that the observed diversity resembled results obtained in experimental evolution studies. Whatever the mechanisms leading to diversity, our results have strong medical implications in terms of the need for more extensive isolate testing before deciding on antibiotic therapies