675 research outputs found
Hospitalization and mortality following non-attendance for hemodialysis according to dialysis day of the week : a European cohort study
Background
The extension of the interdialytic interval due to due to dialysis session non-attendance varies according to which session of the week the patient misses. The impact of this on subsequent hospitalization and mortality is unknown.
Methods
The ARO cohort study prospectively collected data from hemodialysis patients across 15 European countries on demography, comorbidity, laboratory, hospitalisation, mortality and individual hemodialysis sessions from 2007 to 2014. Event rates for death and hospitalisation according to dialysis day of the week were calculated for patients who attended the three previous scheduled hemodialysis sessions, who then on the next scheduled dialysis day either attended or did not attend. The hazard ratio for these events following non-attendance for the first compared to the second dialysis session of the week was estimated using Cox proportional hazards model adjusted for patient demographics.
Results
3.8 million hemodialysis sessions in 9397 patients were analysed. The non-attendance rates for Monday/Wednesday/Friday sessions were 0.8, 0.9% & 1.4% respectively, and for Tuesday/Thursday/Saturday sessions were 0.6, 1.0% & 1.2% respectively. Compared to those who attended, for the 48–72 h between non-attendance and the next scheduled haemodialysis session, mortality significantly increased from 4.86 to 51.9/100 pt-yrs and hospitalisation increased from 0.58 to 2.1/yr. As time from the two-day break increased, the risk associated with non-attendance lessened: compared to missing the second hemodialysis session, missing the first session had a hazard ratio for mortality of 2.04 (95% CI 1.27–3.29), and for hospitalisation 1.78 (95% CI 1.29–2.47). In patients who attended their scheduled dialysis session and the three preceding, after the two-day break there were absolute increases in mortality (8.3 vs. 4.9/100 pt-yrs) and hospitalisation (1.0 vs. 0.6/yr for the rest of the week) comparable to previous studies.
Conclusions
In addition to hospitalisation and mortality increases seen after the two-day break, additional harm may be manifested in the greater increases in mortality and hospitalisation observed after non-attendance for the first hemodialysis session after the two-day break compared to missing other sessions
From Principle to Practice: Bridging the Gap in Patient Profiling
The standard clinical coagulation assays, activated partial thromboplastin time (aPTT) and prothrombin time (PT) cannot predict thrombotic or bleeding risk. Since thrombin generation is central to haemorrhage control and when unregulated, is the likely cause of thrombosis, thrombin generation assays (TGA) have gained acceptance as “global assays” of haemostasis. These assays generate an enormous amount of data including four key thrombin parameters (lag time, maximum rate, peak and total thrombin) that may change to varying degrees over time in longitudinal studies. Currently, each thrombin parameter is averaged and presented individually in a table, bar graph or box plot; no method exists to visualize comprehensive thrombin generation data over time. To address this need, we have created a method that visualizes all four thrombin parameters simultaneously and can be animated to evaluate how thrombin generation changes over time. This method uses all thrombin parameters to intrinsically rank individuals based on their haemostatic status. The thrombin generation parameters can be derived empirically using TGA or simulated using computational models (CM). To establish the utility and diverse applicability of our method we demonstrate how warfarin therapy (CM), factor VIII prophylaxis for haemophilia A (CM), and pregnancy (TGA) affects thrombin generation over time. The method is especially suited to evaluate an individual's thrombotic and bleeding risk during “normal” processes (e.g pregnancy or aging) or during therapeutic challenges to the haemostatic system. Ultimately, our method is designed to visualize individualized patient profiles which are becoming evermore important as personalized medicine strategies become routine clinical practice
Markedly Divergent Tree Assemblage Responses to Tropical Forest Loss and Fragmentation across a Strong Seasonality Gradient
We examine the effects of forest fragmentation on the structure and composition of tree assemblages within three seasonal and aseasonal forest types of southern Brazil, including evergreen, Araucaria, and deciduous forests. We sampled three southernmost Atlantic Forest landscapes, including the largest continuous forest protected areas within each forest type. Tree assemblages in each forest type were sampled within 10 plots of 0.1 ha in both continuous forests and 10 adjacent forest fragments. All trees within each plot were assigned to trait categories describing their regeneration strategy, vertical stratification, seed-dispersal mode, seed size, and wood density. We detected differences among both forest types and landscape contexts in terms of overall tree species richness, and the density and species richness of different functional groups in terms of regeneration strategy, seed dispersal mode and woody density. Overall, evergreen forest fragments exhibited the largest deviations from continuous forest plots in assemblage structure. Evergreen, Araucaria and deciduous forests diverge in the functional composition of tree floras, particularly in relation to regeneration strategy and stress tolerance. By supporting a more diversified light-demanding and stress-tolerant flora with reduced richness and abundance of shade-tolerant, old-growth species, both deciduous and Araucaria forest tree assemblages are more intrinsically resilient to contemporary human-disturbances, including fragmentation-induced edge effects, in terms of species erosion and functional shifts. We suggest that these intrinsic differences in the direction and magnitude of responses to changes in landscape structure between forest types should guide a wide range of conservation strategies in restoring fragmented tropical forest landscapes worldwide
Methods for environment: productivity trade-off analysis in agricultural systems
Trade-off analysis has become an increasingly important approach for evaluating system level outcomes of agricultural production and for prioritising and targeting management interventions in multi-functional agricultural landscapes. We review the strengths and weakness of different techniques available for performing trade-off analysis. These techniques, including mathematical programming and participatory approaches, have developed substantially in recent years aided by mathematical
advancement, increased computing power, and emerging insights into systems behaviour. The strengths and weaknesses of the different approaches are identified and discussed, and we make suggestions for a tiered approach for situations with different data availability. This chapter is a modified and extended version of Klapwijk et al. (2014)
Prolonged mitotic arrest induces a caspase-dependent DNA damage response at telomeres that determines cell survival
A delay in the completion of metaphase induces a stress response that inhibits further cell proliferation or induces apoptosis. This response is thought to protect against genomic instability and is important for the effects of anti-mitotic cancer drugs. Here, we show that mitotic arrest induces a caspase-dependent DNA damage response (DDR) at telomeres in non-apoptotic cells. This pathway is under the control of Mcl-1 and other Bcl-2 family proteins and requires caspase-9, caspase-3/7 and the endonuclease CAD/DFF40. The gradual caspase-dependent loss of the shelterin complex protein TRF2 from telomeres promotes a DDR that involves DNA-dependent protein kinase (DNA-PK). Suppression of mitotic telomere damage by enhanced expression of TRF2, or the inhibition of either caspase-3/7 or DNA-PK during mitotic arrest, promotes subsequent cell survival. Thus, we demonstrate that mitotic stress is characterised by the sub-apoptotic activation of a classical caspase pathway, which promotes telomere deprotection, activates DNA damage signalling, and determines cell fate in response to a prolonged delay in mitosis
Modeling of negative Poisson’s ratio (auxetic) crystalline cellulose Iβ
Energy minimizations for unstretched and stretched cellulose models using an all-atom empirical force field (Molecular Mechanics) have been performed to investigate the mechanism for auxetic (negative Poisson’s ratio) response in crystalline cellulose Iβ from kraft cooked Norway spruce. An initial investigation to identify an appropriate force field led to a study of the structure and elastic constants from models employing the CVFF force field. Negative values of on-axis Poisson’s ratios nu31 and nu13 in the x1-x3 plane containing the chain direction (x3) were realized in energy minimizations employing a stress perpendicular to the hydrogen-bonded cellobiose sheets to simulate swelling in this direction due to the kraft cooking process. Energy minimizations of structural evolution due to stretching along the x3 chain direction of the ‘swollen’ (kraft cooked) model identified chain rotation about the chain axis combined with inextensible secondary bonds as the most likely mechanism for auxetic response
L-DOPA Neurotoxicity Is Mediated by Up-Regulation of DMT1−IRE Expression
2008-2009 > Academic research: refereed > Publication in refereed journalpublished_fina
A Comparative Analysis of Extra-Embryonic Endoderm Cell Lines
Prior to gastrulation in the mouse, all endodermal cells arise from the primitive
endoderm of the blastocyst stage embryo. Primitive endoderm and its derivatives
are generally referred to as extra-embryonic endoderm (ExEn) because the
majority of these cells contribute to extra-embryonic lineages encompassing the
visceral endoderm (VE) and the parietal endoderm (PE). During gastrulation, the
definitive endoderm (DE) forms by ingression of cells from the epiblast. The DE
comprises most of the cells of the gut and its accessory organs. Despite their
different origins and fates, there is a surprising amount of overlap in marker
expression between the ExEn and DE, making it difficult to distinguish between
these cell types by marker analysis. This is significant for two main reasons.
First, because endodermal organs, such as the liver and pancreas, play important
physiological roles in adult animals, much experimental effort has been directed
in recent years toward the establishment of protocols for the efficient
derivation of endodermal cell types in vitro. Conversely,
factors secreted by the VE play pivotal roles that cannot be attributed to the
DE in early axis formation, heart formation and the patterning of the anterior
nervous system. Thus, efforts in both of these areas have been hampered by a
lack of markers that clearly distinguish between ExEn and DE. To further
understand the ExEn we have undertaken a comparative analysis of three ExEn-like
cell lines (END2, PYS2 and XEN). PYS2 cells are derived from embryonal
carcinomas (EC) of 129 strain mice and have been characterized as parietal
endoderm-like [1], END2 cells are derived from P19 ECs and
described as visceral endoderm-like, while XEN cells are derived from blastocyst
stage embryos and are described as primitive endoderm-like. Our analysis
suggests that none of these cell lines represent a bona fide
single in vivo lineage. Both PYS2 and XEN cells represent mixed
populations expressing markers for several ExEn lineages. Conversely END2 cells,
which were previously characterized as VE-like, fail to express many markers
that are widely expressed in the VE, but instead express markers for only a
subset of the VE, the anterior visceral endoderm. In addition END2 cells also
express markers for the PE. We extended these observations with microarray
analysis which was used to probe and refine previously published data sets of
genes proposed to distinguish between DE and VE. Finally, genome-wide pathway
analysis revealed that SMAD-independent TGFbeta signaling through a TAK1/p38/JNK
or TAK1/NLK pathway may represent one mode of intracellular signaling shared by
all three of these lines, and suggests that factors downstream of these pathways
may mediate some functions of the ExEn. These studies represent the first step
in the development of XEN cells as a powerful molecular genetic tool to study
the endodermal signals that mediate the important developmental functions of the
extra-embryonic endoderm. Our data refine our current knowledge of markers that
distinguish various subtypes of endoderm. In addition, pathway analysis suggests
that the ExEn may mediate some of its functions through a non-classical MAP
Kinase signaling pathway downstream of TAK1
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