2,509 research outputs found
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Cost-effectiveness of Universal Hepatitis C Virus Screening of Pregnant Women in the United States
BACKGROUND:Hepatitis C virus' (HCV) chronic prevalence among pregnant women in the United States doubled nationally from 2009-2014 (~0.7%), yet many cases remain undiagnosed. Screening pregnant women is not recommended by the Society of Maternal-Fetal Medicine or the Centers for Disease Control and Prevention, despite new American Association For the Study of Liver Diseases (AASLD)/Infectious Diseases Society of America (IDSA) guidelines recommending screening for this group. We assessed the cost-effectiveness of HCV screening for pregnant women in the United States. METHODS:An HCV natural history Markov model was used to evaluate the cost-effectiveness of universal HCV screening of pregnant women, followed by treatment after pregnancy, compared to background risk-based screening from a health-care payer perspective. We assumed a HCV chronic prevalence of 0.73% among pregnant women, based on national data. We assumed no Medicaid reimbursement restrictions by fibrosis stage at baseline, but explored differing restrictions in sensitivity analyses. We assessed costs (in US dollars) and health outcomes (in quality-adjusted life-years [QALYs]) over a lifetime horizon, using new HCV drug costs of 50 000/QALY gained. We additionally evaluated the potential population impact. RESULTS:Universal antenatal screening was cost-effective in all treatment eligibility scenarios (mean ICER <$3000/QALY gained). Screening remained cost-effective at a prevalence of 0.07%, which is the lowest estimated prevalence in the United States (in Hawaii). Screening the ~5.04 million pregnant women in 2018 could result in the detection and treatment of 33 000 women, based on current fibrosis restrictions. CONCLUSIONS:Universal screening for HCV among pregnant women in the United States is cost-effective and should be recommended nationally
Spectral triples for higher-rank graph C*-algebras
Author's accepted version (postprint).This is an Accepted Manuscript of an article published by Royal Danish Library in Mathematica Scandinavica on 06/05/2020.Available online: https://www.mscand.dk/article/view/119260acceptedVersio
Purification of platinum metal refinery crystalliser effluent using ion-exchange
Impala Platinum Metal Refinery (PMR) produces about 30 tonnes of salt every month after crystallisation of effluent from the refining processes. These crystallised salts contain impurities (heavy metals) and are discarded. This poses a danger to the environment and it costs the company large amount money to correctly dump them. There is need to find ways of purifying these salts and find its alternative industrial uses. Major sectors identified using industrial salt were paper mills, pharmaceutical, textile, tanning and paint industrial sectors (Department of Minerals and Energy, 2001). Comparison of the salt composition with salt specifications required for these uses revealed that the salt needed further purification in order to find application in these industrial sectors. Two approaches were proposed; treatment of the crystallized salt to remove impurities and treatment of the crystallizer influent stream before crystallization to ensure a more pure salt is produced..
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FOXA1 mutations alter pioneering activity, differentiation and prostate cancer phenotypes.
Mutations in the transcription factor FOXA1 define a unique subset of prostate cancers but the functional consequences of these mutations and whether they confer gain or loss of function is unknown1-9. Here, by annotating the landscape of FOXA1 mutations from 3,086 human prostate cancers, we define two hotspots in the forkhead domain: Wing2 (around 50% of all mutations) and the highly conserved DNA-contact residue R219 (around 5% of all mutations). Wing2 mutations are detected in adenocarcinomas at all stages, whereas R219 mutations are enriched in metastatic tumours with neuroendocrine histology. Interrogation of the biological properties of wild-type FOXA1 and fourteen FOXA1 mutants reveals gain of function in mouse prostate organoid proliferation assays. Twelve of these mutants, as well as wild-type FOXA1, promoted an exaggerated pro-luminal differentiation program, whereas two different R219 mutants blocked luminal differentiation and activated a mesenchymal and neuroendocrine transcriptional program. Assay for transposase-accessible chromatin using sequencing (ATAC-seq) of wild-type FOXA1 and representative Wing2 and R219 mutants revealed marked, mutant-specific changes in open chromatin at thousands of genomic loci and exposed sites of FOXA1 binding and associated increases in gene expression. Of note, ATAC-seq peaks in cells expressing R219 mutants lacked the canonical core FOXA1-binding motifs (GTAAAC/T) but were enriched for a related, non-canonical motif (GTAAAG/A), which was preferentially activated by R219-mutant FOXA1 in reporter assays. Thus, FOXA1 mutations alter its pioneering function and perturb normal luminal epithelial differentiation programs, providing further support for the role of lineage plasticity in cancer progression
Flow Measurements in a Blood-Perfused Collagen Vessel Using X-Ray Micro-Particle Image Velocimetry.
Blood-perfused tissue models are joining the emerging field of tumor engineering because they provide new avenues for modulation of the tumor microenvironment and preclinical evaluation of the therapeutic potential of new treatments. The characterization of fluid flow parameters in such in-vitro perfused tissue models is a critical step towards better understanding and manipulating the tumor microenvironment. However, traditional optical flow measurement methods are inapplicable because of the opacity of blood and the thickness of the tissue sample. In order to overcome the limitations of optical method we demonstrate the feasibility of using phase-contrast x-ray imaging to perform microscale particle image velocimetry (PIV) measurements of flow in blood perfused hydrated tissue-representative microvessels. However, phase contrast x-ray images significantly depart from the traditional PIV image paradigm, as they have high intensity background, very low signal-to-noise ratio, and volume integration effects. Hence, in order to achieve accurate measurements special attention must be paid to the image processing and PIV cross-correlation methodologies. Therefore we develop and demonstrate a methodology that incorporates image preprocessing as well as advanced PIV cross-correlation methods to result in measured velocities within experimental uncertainty
Detecting heterozygosity in shotgun genome assemblies: Lessons from obligately outcrossing nematodes
The majority of nematodes are gonochoristic (dioecious) with distinct male and female sexes, but the best-studied species, Caenorhabditis elegans, is a self-fertile hermaphrodite. The sequencing of the genomes of C. elegans and a second hermaphrodite, C. briggsae, was facilitated in part by the low amount of natural heterozygosity, which typifies selfing species. Ongoing genome projects for gonochoristic Caenorhabditis species seek to approximate this condition by intense inbreeding prior to sequencing. Here we show that despite this inbreeding, the heterozygous fraction of the whole genome shotgun assemblies of three gonochoristic Caenorhabditis species, C. brenneri, C. remanei, and C. japonica, is considerable. We first demonstrate experimentally that independently assembled sequence variants in C. remanei and C. brenneri are allelic. We then present gene-based approaches for recognizing heterozygous regions of WGS assemblies. We also develop a simple method for quantifying heterozygosity that can be applied to assemblies lacking gene annotations. Consistently we find that ∼10% and 30% of the C. remanei and C. brenneri genomes, respectively, are represented by two alleles in the assemblies. Heterozygosity is restricted to autosomes and its retention is accompanied by substantial inbreeding depression, suggesting that it is caused by multiple recessive deleterious alleles and not merely by chance. Both the overall amount and chromosomal distribution of heterozygous DNA is highly variable between assemblies of close relatives produced by identical methodologies, and allele frequencies have continued to change after strains were sequenced. Our results highlight the impact of mating systems on genome sequencing projects
Molecular Dating, Evolutionary Rates, and the Age of the Grasses
Many questions in evolutionary biology require an estimate of divergence times but, for groups with a sparse fossil record, such estimates rely heavily on molecular dating methods. The accuracy of these methods depends on both an adequate underlying model and the appropriate implementation of fossil evidence as calibration points. We explore the effect of these in Poaceae (grasses), a diverse plant lineage with a very limited fossil record, focusing particularly on dating the early divergences in the group. We show that molecular dating based on a data set of plastid markers is strongly dependent on the model assumptions. In particular, an acceleration of evolutionary rates at the base of Poaceae followed by a deceleration in the descendants strongly biases methods that assume an autocorrelation of rates. This problem can be circumvented by using markers that have lower rate variation, and we show that phylogenetic markers extracted from complete nuclear genomes can be a useful complement to the more commonly used plastid markers. However, estimates of divergence times remain strongly affected by different implementations of fossil calibration points. Analyses calibrated with only macrofossils lead to estimates for the age of core Poaceae ∼51-55 Ma, but the inclusion of microfossil evidence pushes this age to 74-82 Ma and leads to lower estimated evolutionary rates in grasses. These results emphasize the importance of considering markers from multiple genomes and alternative fossil placements when addressing evolutionary issues that depend on ages estimated for important group
Teamwork enables high level of early mobilization in critically ill patients
Additional file 2. Physiological responses of physiotherapy session. Values expressed as mean ± standard deviation; IB = In bed, IC = In chair, * different from baseline, ≈ different from 0 min
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