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The overall aim of this review is to provide the healthcare professional with a pragmatic guide for the management of thrombotic risk using established antiplatelet therapies to improve vascular outcome in persons with diabetes. This article is protected by copyright. All rights reserved.Statin use has been associated with reduced cancer-specific mortality among patients with several cancer types, including multiple myeloma (MM). We aimed to further elucidate the association of statin use and dose intensity with MM survival. Using Swedish population-based national health registers, we identified all incident MM diagnoses occurring January 1, 2007 to December 31, 2013 and their drug dispensations and comorbidities. We assessed statin exposure in 6-month periods pre- and post-diagnosis, treated diagnosis as baseline for calculating survival time, and calculated hazard ratios (HR) and 95% confidence intervals (CI) of exposure-related MM-specific and all-cause mortality using Cox regression. We assessed statin exposure during the entire follow-up and risk of MM-specific mortality in a nested case-control analysis. We classified dose intensity according to American College of Cardiology/American Heart Association recommendations. We ascertained 4315 MM cases during follow-up. Statin use was associated with reduced MM-specific mortality (pre-diagnosis use multivariate-adjusted HR, 95% CI 0.83, 0.71-0.96; 6 months post-diagnosis 0.73, 0.60-0.89; entire follow-up 0.65, 0.52-0.80) and (more weakly) with all-cause mortality. Intensity analyses suggested a dose-response; MM-specific mortality decreased with increasing statin intensity in all time windows (eg, 6 months post-diagnosis low [0.76 (0.56-1.03)], medium [0.73 (0.58-0.92)], high [0.33 (0.08-1.32)] intensity). However, relatively few patients received high intensity treatment, and the trend was statistically significant only for unadjusted pre-diagnosis use. In this large population-based MM cohort, statin use was associated with improved MM-specific survival in both sexes. Randomized prospective studies are warranted to evaluate statins as adjuvant treatment in MM. © 2020 The Authors. American Journal of Hematology published by Wiley Periodicals, Inc.BACKGROUND Serum protein electrophoresis (SPE) is a widely used laboratory technique to diagnose patients with multiple myeloma (MM) and other disorders related to serum protein. In patients with MM, abnormal monoclonal protein can be detected by SPE and further characterized using immunofixation electrophoresis (IFE). There are several semi-automated agarose gel-based systems available commercially for SPE and IFE. In this study, we sought to evaluate the analytical performance of fully automated EasyFix G26 (EFG26) and semi-automated HYDRASYS 2 SCAN (H2SCAN) for both SPE and IFE. METHODS Both instruments were operated according to manufacturer's instructions. Samples used include a commercially available normal control serum (NCS) and patients' specimens. The following were evaluated precision and comparison studies for SPE, and reproducibility and comparison studies for IFE. Statistical analyses were performed using Microsoft Excel. RESULTS For SPE repeatability study, our results showed that EFG26 has higher coefficient of variation (%CV) compared with H2SCAN for both samples except for monoclonal component with %CV of 0.97% and 1.18%, respectively. Similar results were obtained for SPE reproducibility study except for alpha-1 (4.16%) and beta (3.13%) fractions for NCS, and beta fractions (5.36%) for monoclonal sample. Subsequently, reproducibility for IFE was 100% for both instruments. Values for correlation coefficients between both instruments ranged from 0.91 to 0.98 for the five classic bands. CONCLUSION Both instruments demonstrated good analytical performance characterized by high precision, reproducibility and correlation. © 2020 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc.In Focus Reneerkens, J., Versluijs, T. S. L., Piersma, T., Alves, J. A., Boorman, M., Corse, C., … Lok, T. (2020). Low fitness at low latitudes wintering in the tropics increases migratory delays and mortality rates in an Arctic breeding shorebird. Journal of Animal Ecology, 89, 691-703. A central question in migratory ecology has been to understand the fitness consequences of individual variation in migration distance among different species and populations. Reneerkens et al. (2020) investigated the demographic consequences of long-distance migration for Sanderlings Calidris alba, an Arctic-breeding species of sandpiper. Their study population has a remarkable geographic distribution with a breeding range that is concentrated in northeast Greenland and Ellesmere Island, Canada but a nonbreeding range that extends across 85° of latitude from Scotland to Namibia. The authors report on unexpected patterns of latitudinal variation in three demographic parameters timing of passage on northward migration, probabilat leads to many additional questions. The new findings have broader implications for theoretical models of migration, and for understanding how different patterns of movements may arise or be maintained in migratory species. © 2020 The Authors. Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.Using the parameterized susceptible-exposed-infectious-recovered model, we simulated the spread dynamics of coronavirus disease 2019 (COVID-19) outbreak and impact of different control measures, conducted the sensitivity analysis to identify the key factor, plotted the trend curve of effective reproductive number (R), and performed data fitting after the simulation. By simulation and data fitting, the model showed the peak existing confirmed cases of 59 769 arriving on 15 February 2020, with the coefficient of determination close to 1 and the fitting bias 3.02%, suggesting high precision of the data-fitting results. More rigorous government control policies were associated with a slower increase in the infected population. Isolation and protective procedures would be less effective as more cases accrue, so the optimization of the treatment plan and the development of specific drugs would be of more importance. There was an upward trend of R in the beginning, followed by a downward trend, a temporary rebound, and another continuous decline. The feature of high infectiousness for severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) led to an upward trend, and government measures contributed to the temporary rebound and declines. The declines of R could be exploited as strong evidence for the effectiveness of the interventions. Evidence from the four-phase stringent measures showed that it was significant to ensure early detection, early isolation, early treatment, adequate medical supplies, patients' being admitted to designated hospitals, and comprehensive therapeutic strategy. Collaborative efforts are required to combat the novel coronavirus, focusing on both persistent strict domestic interventions and vigilance against exogenous imported cases. © 2020 Wiley Periodicals, Inc.In fluorescence microscopy imaging, the segmentation of adjacent cell membranes within cell aggregates, multicellular samples, tissue, organs, or whole organisms remains a challenging task. The lipid bilayer is a very thin membrane when compared to the wavelength of photons in the visual spectra. Fluorescent molecules or proteins used for labelling membranes provide a limited signal intensity, and light scattering in combination with sample dynamics during in vivo imaging lead to poor or ambivalent signal patterns that hinder precise localisation of the membrane sheets. In the proximity of cells, membranes approach and distance each other. Here, the presence of membrane protrusions such as blebs; filopodia and lamellipodia; microvilli; or membrane vesicle trafficking, lead to a plurality of signal patterns, and the accurate localisation of two adjacent membranes becomes difficult. Several computational methods for membrane segmentation have been introduced. However, few of them specifically consider the accurics, and presents piecewise active contour solutions, preserving the contour shape and the overall cell morphology. ALPACA quantifies adjacent contours and can improve the meshing of 3D surfaces, the determination of forces, or tracking of contours in combination with previously published algorithms. We discuss pitfalls, strengths, and limits of our approach, and present a guideline to take the best decision for varying experimental conditions for in vivo microscopy. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.OBJECTIVE Drug resistance is a major concern in the treatment of individuals with epilepsy. No genetic markers for resistance to individual antiseizure medication (ASM) have yet been identified. We aimed to identify the role of rare genetic variants in drug resistance for three common ASMs levetiracetam (LEV), lamotrigine (LTG), and valproic acid (VPA). METHODS A cohort of 1622 individuals of European descent with epilepsy was deeply phenotyped and underwent whole exome sequencing (WES), comprising 575 taking LEV, 826 LTG, and 782 VPA. We performed gene- and gene set-based collapsing analyses comparing responders and nonresponders to the three drugs to determine the burden of different categories of rare genetic variants. RESULTS We observed a marginally significant enrichment of rare missense, truncating, and splice region variants in individuals who were resistant to VPA compared to VPA responders for genes involved in VPA pharmacokinetics. We also found a borderline significant enrichment of truncating and splice region variants in the synaptic vesicle glycoprotein (SV2) gene family in nonresponders compared to responders to LEV. We did not see any significant enrichment using a gene-based approach. SIGNIFICANCE In our pharmacogenetic study, we identified a slightly increased burden of damaging variants in gene groups related to drug kinetics or targeting in individuals presenting with drug resistance to VPA or LEV. Namodenoson agonist Such variants could thus determine a genetic contribution to drug resistance. © 2020 The Authors. Epilepsia published by Wiley Periodicals, Inc. on behalf of International League Against Epilepsy.BACKGROUND This study examined implementation of district sun safety policy in schools and tested correlates of implementation in California public school districts. METHODS Principals (N = 118) and teachers (N = 113) in California public elementary schools (N = 118) were recruited and completed a survey on sun protection policies and practices. The sample contained schools whose districts subscribed to the California School Boards Association and adopted Board Policy 5141.7 for sun safety. Principals and teachers reported on implementation of 10 school practices related to BP 5141.7 indicating which practices were implemented in the school. RESULTS Years in public education (Exponentiated Score (ES) = 0.51, p less then .001), years worked in the current district (ES = 0.49, p less then .001), perception that parents should take action to protect children from the sun (ES = 0.43, p less then .01), and personal skin phenotype (Low Risk ES = 0.55; High Risk ES = 0.09, p less then .05) were associated with number of practices implemented in the school using multiple Poisson regression.
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