Itching in patients with chronic hand eczema: Data from the CARPE registry

BACKGROUND Itching is a leading symptom of chronic hand eczema (CHE) having a great impact on patients. The determinants of itching in CHE are unclear. OBJECTIVE We performed a cross-sectional analysis investigating factors associated with the presence and severity of itch in CHE patients from the CARPE registry. METHODS We present baseline data on itch in relationship with sociodemographic factors, severity of CHE, atopy, contact allergy, treatment and patient- reported outcomes including health-related quality of life (HRQoL). RESULTS Of 1,051 patients with CHE, 78.1% reported itching. Significant positive associations with itching were observed for younger age groups (17-25 and 26-45 years), for moderate, severe and very severe CHE and for small/moderate impairment in HRQoL. Atopic skin diathesis, hardly being able to realize treatment recommendations and very or extremely large impairments in HRQoL were associated with itch severity. CONCLUSION Taking the identified variables into account may help identify vulnerable groups most affected by (severe) itch

The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional learning health system

Introduction Learning health systems (LHSs) are usually created and maintained by single institutions or healthcare systems. The Indiana Learning Health System Initiative (ILHSI) is a new multi-institutional, collaborative regional LHS initiative led by the Regenstrief Institute (RI) and developed in partnership with five additional organizations: two Indiana-based health systems, two schools at Indiana University, and our state-wide health information exchange. We report our experiences and lessons learned during the initial 2-year phase of developing and implementing the ILHSI. Methods The initial goals of the ILHSI were to instantiate the concept, establish partnerships, and perform LHS pilot projects to inform expansion. We established shared governance and technical capabilities, conducted a literature review-based and regional environmental scan, and convened key stakeholders to iteratively identify focus areas, and select and implement six initial joint projects. Results The ILHSI successfully collaborated with its partner organizations to establish a foundational governance structure, set goals and strategies, and prioritize projects and training activities. We developed and deployed strategies to effectively use health system and regional HIE infrastructure and minimize information silos, a frequent challenge for multi-organizational LHSs. Successful projects were diverse and included deploying a Fast Healthcare Interoperability Standards (FHIR)-based tool across emergency departments state-wide, analyzing free-text elements of cross-hospital surveys, and developing models to provide clinical decision support based on clinical and social determinants of health. We also experienced organizational challenges, including changes in key leadership personnel and varying levels of engagement with health system partners, which impacted initial ILHSI efforts and structures. Reflecting on these early experiences, we identified lessons learned and next steps. Conclusions Multi-organizational LHSs can be challenging to develop but present the opportunity to leverage learning across multiple organizations and systems to benefit the general population. Attention to governance decisions, shared goal setting and monitoring, and careful selection of projects are important for early success

Epigenomic and transcriptomic approaches in the post-genomic era: path to novel targets for diagnosis and therapy of the ischemic heart?

Despite advances in myocardial reperfusion therapies, acute myocardial ischemia/reperfusion injury and consequent ischemic heart failure represent the number one cause of morbidity and mortality in industrialized societies. Although different therapeutic interventions have been shown beneficial in preclinical settings, an effective cardioprotective or regenerative therapy has yet to be successfully introduced in the clinical arena. Given the complex pathophysiology of the ischemic heart, large scale, unbiased, global approaches capable of identifying multiple branches of the signaling networks activated in the ischemic/reperfused heart might be more successful in the search for novel diagnostic or therapeutic targets. High-throughput techniques allow high-resolution, genome-wide investigation of genetic variants, epigenetic modifications and associated gene expression profiles. Platforms such as proteomics and metabolomics (not described here in detail) also offer simultaneous readouts of hundreds of proteins and metabolites. Isolated omics analyses usually provide Big Data requiring large data storage, advanced computational resources and complex bioinformatics tools. The possibility of integrating different omics approaches gives new hope to better understand the molecular circuitry activated by myocardial ischemia, putting it in the context of the human "diseasome".Since modifications of cardiac gene expression have been consistently linked to pathophysiology of the ischemic heart, the integration of epigenomic and transcriptomic data seems a promising approach to identify crucial disease networks. Thus, the scope of this Position Paper will be to highlight potentials and limitations of these approaches, and to provide recommendations to optimize the search for novel diagnostic or therapeutic targets for acute ischemia/reperfusion injury and ischemic heart failure in the post-genomic era

Analysis of shared heritability in common disorders of the brain

ience, this issue p. eaap8757 Structured Abstract INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities' assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer's disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important "scaffolding" to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders

Abstracts from the 8th International Conference on cGMP Generators, Effectors and Therapeutic Implications

This work was supported by a restricted research grant of Bayer AG

Delivering Diabetes Self-Management Education (DSME) in Primary Care: The Pittsburgh Regional Initiative For Diabetes Education (PRIDE)

Background: Diabetes self-management education (DSME) is a critical component of the clinical management of diabetes mellitus. Although DSME is recognized as important, the number of patients with diabetes who receive education is disproportionately small. Several barriers to receiving diabetes education exist, including access and DSME delivery approaches. Objective: The purpose of this project was to explore opportunities to meet the Healthy People 2010 goal of increasing the proportion of people with diabetes mellitus who receive diabetes education from 40% (as it was in 1998) to 60% (in 2010). Our objectives were to examine the provision of DSME in primary care, to determine if DSME delivery in primary care increases the number of people who receive DSME, and to evaluate the effect of DSME on glycosylated hemoglobin (HbA1c) and low-density lipoprotein-cholesterol (LDL-C) levels. DSME was delivered in primary care practices as part of the Pittsburgh Regional Initiative for Diabetes Education (PRIDE). Research design and methods: A nurse who was a certified diabetes educator (CDE) was deployed to provide Point-Of-Service diabetes Education (POSE) to four University of Pittsburgh Medical Center (UPMC) Community Medicine Practices (CMI) primary care practices. The group of patients who received POSE was compared with patients from the same practices who were identified as having diabetes and who received usual care. The number of patients was computed and a percentage calculated for comparison against Healthy People 2010 goals. The HbA1c values of patients were tracked from January 2003 through December 2006, during the timeframe that POSE was provided. Results: Of the 5344 diabetes patients in the four practices, 784 received POSE. Mean HbA1c values were higher at baseline in those patients who received POSE than those who received usual care. There was a significant decrease in HbA1c and LDL-C levels in both groups. Although there was not a significant between-group difference in HbA1c, those who received POSE had significant improvement in LDL-C levels compared with the usual care group. Conclusions: Providing DSME in primary care is feasible and offers the opportunity to reach patients who may not be receiving DSME services. However, further research is needed to evaluate other methodologies to increase access to DSME and other factors that may influence improvement in clinical outcomes. DOI: 10.2165/0115677-200816040-00007