How to improve drug dosing for patients with renal impairment in primary care - a cluster-randomized controlled trial

Background: Patients with chronic kidney disease (CKD) are at increased risk for inappropriate or potentially harmful prescribing. The aim of this study was to examine whether a multifaceted intervention including the use of a software programme for the estimation of creatinine clearance and recommendation of individual dosage requirements may improve correct dosage adjustment of relevant medications for patients with CKD in primary care. Methods: A cluster-randomized controlled trial was conducted between January and December 2007 in small primary care practices in Germany. Practices were randomly allocated to intervention or control groups. In each practice, we included patients with known CKD and elderly patients (>=70 years) suffering from hypertension. The practices in the intervention group received interactive training and were provided a software programme to assist with individual dose adjustment. The control group performed usual care. Data were collected at baseline and at 6 months. The outcome measures, analyzed across individual patients, included prescriptions exceeding recommended maximum daily doses, with the primary outcome being prescriptions exceeding recommended standard daily doses by 30% or more. Results: Data from 44 general practitioners and 404 patients are included. The intervention was effective in reducing prescriptions exceeding the maximum daily dose per patients, with a trend in reducing prescriptions exceeding the standard daily dose by more than 30%. Conclusions: A multifaceted intervention including the use of a software program effectively reduced inappropriately high doses of renally excreted medications in patients with CKD in the setting of small primary care practices

Microfocal X-Ray Computed Tomography Post-Processing Operations for Optimizing Reconstruction Volumes of Stented Arteries During 3D Computational Fluid Dynamics Modeling

Restenosis caused by neointimal hyperplasia (NH) remains an important clinical problem after stent implantation. Restenosis varies with stent geometry, and idealized computational fluid dynamics (CFD) models have indicated that geometric properties of the implanted stent may differentially influence NH. However, 3D studies capturing the in vivo flow domain within stented vessels have not been conducted at a resolution sufficient to detect subtle alterations in vascular geometry caused by the stent and the subsequent temporal development of NH. We present the details and limitations of a series of post-processing operations used in conjunction with microfocal X-ray CT imaging and reconstruction to generate geometrically accurate flow domains within the localized region of a stent several weeks after implantation. Microfocal X-ray CT reconstruction volumes were subjected to an automated program to perform arterial thresholding, spatial orientation, and surface smoothing of stented and unstented rabbit iliac arteries several weeks after antegrade implantation. A transfer function was obtained for the current post-processing methodology containing reconstructed 16 mm stents implanted into rabbit iliac arteries for up to 21 days after implantation and resolved at circumferential and axial resolutions of 32 and 50 μm, respectively. The results indicate that the techniques presented are sufficient to resolve distributions of WSS with 80% accuracy in segments containing 16 surface perturbations over a 16 mm stented region. These methods will be used to test the hypothesis that reductions in normalized wall shear stress (WSS) and increases in the spatial disparity of WSS immediately after stent implantation may spatially correlate with the temporal development of NH within the stented region

The application of immunocytochemistry to direct smears in the diagnosis of effusions

Metastatic malignancy represents a common cause of effusions. Immunocytochemistry (ICC) is useful in confirming malignancy and gaining insight into the site of origin. Cell blocks are commonly utilized for this purpose; nonetheless, when the malignant cells are sparse, they may not be represented in cell blocks thereby precluding immunophenotypic characterization. Thus, we sought to investigate the utility of direct smear preparations as a platform for ICC in the diagnosis of effusions. Air‐dried, unstained direct smears were prepared from 49 malignant effusions and 17 reactive effusions for comparison. ICC for EMA and MOC‐31 highlighted the tumor cells in 91 and 98% of the malignant effusions tested, respectively. EMA immunoreactivity was focally observed within the calretinin‐positive mesothelial cell population in 1 (6%) of the 17 reactive effusions. ICC for MOC‐31 was negative in all reactive effusions. Site‐specific immunomarkers were also evaluated. Immunoreactivity for Napsin‐A and TTF‐1 were observed in 78 and 67% of metastatic lung adenocarcinomas, respectively. ICC for PAX8 highlighted metastatic Müllerian and thyroid carcinomas in 100% of cases tested. CDX‐2 immunoreactivity was observed in 25, 60, and 100% of metastatic gastric, pancreatic, and colorectal adenocarcinomas, respectively. Positivity for p63 was observed in 75% of metastatic urothelial cell carcinomas and the one case of pulmonary squamous cell carcinoma examined. Calretinin ICC highlighted the tumor cells in both malignant mesothelioma cases tested as well as the benign mesothelial cells in the reactive effusions. In conclusion, direct smears represent an effective platform for the performance of ICC in the diagnosis of malignant effusions. Diagn. Cytopathol. 2013. © 2012 Wiley Periodicals, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/97537/1/22852_ftp.pd

Many Disease-Associated Variants of hTERT Retain High Telomerase Enzymatic Activity

Mutations in the gene for telomerase reverse transcriptase (hTERT) are associated with diseases including dyskeratosis congenita, aplastic anemia, pulmonary fibrosis and cancer. Understanding the molecular basis of these telomerase-associated diseases requires dependable quantitative measurements of telomerase enzyme activity. Furthermore, recent findings that the human POT1-TPP1 chromosome end-binding protein complex stimulates telomerase activity and processivity provide incentive for testing variant telomerases in the presence of these factors. In the present work, we compare multiple disease-associated hTERT variants reconstituted with the RNA subunit hTR in two systems (rabbit reticulocyte lysates and human cell lines) with respect to telomerase enzymatic activity, processivity and activation by telomere proteins. Surprisingly, many of the previously reported disease-associated hTERTalleles give near-normal telomerase enzyme activity. It is possible that a small deficit in telomerase activity is sufficient to cause telomere shortening over many years. Alternatively, mutations may perturb functions such as the recruitment of telomerase to telomeres, which are essential in vivo but not revealed by simple enzyme assays

Health and Quality of Life among People with Intellectual and Developmental Disabilities and Direct Support Professionals during the early United States COVID-19 Pandemic

People with intellectual and developmental disabilities (IDD) and the direct support professionals (DSPs) who support them have faced unique risks to their health and quality of life (QoL) throughout the COVID-19 pandemic. We sought to understand how COVID-19 has influenced QoL and overall well-being among these populations. We conducted a Rapid Qualitative Inquiry study with a sample of people with IDD and DSPs (n = 18) to gain deeper perspectives about QoL and well-being during the pandemic. Participants described that changes in QoL were typically negative and influenced primarily by reduced socialization and impacts on health and independence; however, participants also described the ways their interactions and mutual support for each other helped to preserve some aspects of QoL. Participants described how racism and publicized acts of racial violence contributed to their COVID-19 experiences, and offered descriptions of resources they benefited from, and those they lacked, during this time. Study findings have the potential to inform the development of policies and best practices that support people with IDD and DSPs during and following similar infectious disease emergencies

Analyzing the HCP Datasets using GPUs: The Anatomy of a Science Engagement

This paper documents the experience improving the performance of a data processing workflow for analysis of the Human Connectome Project's HCP900 data set. It describes how network and compute bottlenecks were discovered and resolved during the course of a science engagement. A series of computational enhancements to the stock FSL BedpostX workflow are described. These enhancements migrated the workflow from a slow serial execution of computations resulting from Slurm scheduler incompatibilities to eventual execution on GPU resources, going from a 21-day execution on a single CPU core to a 2 hour execution on a GPU. This workflow contributed a vital use-case to the build-out of the campus compute cluster with additional GPUs and resulted in enhancements to network bandwidth. It also shares insights on potential improvements to distribution of scientific software to avoid stagnation in site-specific deployment decisions. The discussion highlights the advantages of open licenses and popular code collaboration sites like GitHub.com in feeding contributions upstream.Comment: 6 pages, 3 figures, PEARC '18: Practice and Experience in Advanced Research Computing, July 22--26, 2018, Pittsburgh, PA, US