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Aims: In the Far East, there has generally been low uptake of oral anticoagulants (OACs) using vitamin K antagonists (VKA, e.g. warfarin) for stroke prevention in atrial fibrillation (AF), but OAC use has been increasing more recently, with the introduction of the non-vitamin K antagonist oral anticoagulants (NOACs). To explore the risks of ischaemic stroke (IS) and death related to AF in East Asia using modelling projections., Methods and Results: We performed a modelling analysis of possible trends of IS and death rates in AF patients from the time period of only VKA use to current increasing trends of NOAC use projecting until 2050 in East Asia. Data from published articles on the prevalence of AF, IS, and death were used to model estimated event rates. In 2030, the estimated AF population in East Asia will be 608 100, with the use of NOACs leading to a reduction of 82 259 ISs and 16 917 deaths. There was an estimated annual risk reduction of 5484 ISs and 1128 deaths from 2016 to 2030, respectively. The AF population is estimated to reach 861 900 in 2050, with a reduction of 206 315 ISs and 139 353 deaths., Conclusion: This modelling analysis suggests that the transition from VKA to NOACs may greatly help in reducing the burden of IS and death caused by AF in the East Asian region.

Background and Objective: the study analysed the effectiveness and safety of warfarin use compared with warfarin non-use and non-vitamin K antagonist oral anticoagulants (NOACs) in atrial fibrillation (AF) patients aged ≥65 years., Methods: after searching PubMed and the Cochrane Library, 26 studies were included, with 10 comparing warfarin with warfarin non-use and 16 comparing warfarin with NOACs, in older AF patients (≥65 years)., Results: warfarin use was superior to no antithrombotic therapy [relative risk (RR) 0.59, 95% confidence interval (CI) 0.51-0.76, I2 = 12.3%, n = 8] and aspirin (RR 0.44, 95% CI 0.24-0.64, I2 = 0.0%, n = 5) for stroke/thromboembolism (TE) prevention. Warfarin use was associated with a non-significant increase in risk of major bleeding compared with no antithrombotic therapy (RR 1.26, 95% CI 0.99-1.52, I2 = 0.0%, n = 7) and aspirin (RR 1.20, 95% CI 0.91-1.50, I2 = 0.0%, n = 5). NOACs were superior to warfarin for stroke/TE prevention [hazard ratio (HR) 0.81, 95% CI 0.73-0.89, I2 = 56.6%, n = 9], and also were associated with reduced risk of major bleeding compared to warfarin (HR 0.87, 0.77-0.97, I2 = 86.1%, n = 9)., Conclusions: warfarin use was superior to warfarin non-use, aspirin and no antithrombotic therapy in reducing the risk of stroke/TE in older AF patients, but with a possible increase in major bleeding. NOACs were superior to warfarin for stroke/TE prevention, with reduced risk of major bleeding., (© The Author 2017. Published by Oxford University Press on behalf of the British Geriatrics Society.All rights reserved. For permissions, please email: journals.permissions@oup.com)

Motivation: Advances in high-resolution microscopy have recently made possible the analysis of gene expression at the level of individual cells. The fixed lineage of cells in the adult worm Caenorhabditis elegans makes this organism an ideal model for studying complex biological processes like development and aging. However, annotating individual cells in images of adult C.elegans typically requires expertise and significant manual effort. Automation of this task is therefore critical to enabling high-resolution studies of a large number of genes., Results: In this article, we describe an automated method for annotating a subset of 154 cells (including various muscle, intestinal and hypodermal cells) in high-resolution images of adult C.elegans. We formulate the task of labeling cells within an image as a combinatorial optimization problem, where the goal is to minimize a scoring function that compares cells in a test input image with cells from a training atlas of manually annotated worms according to various spatial and morphological characteristics. We propose an approach for solving this problem based on reduction to minimum-cost maximum-flow and apply a cross-entropy-based learning algorithm to tune the weights of our scoring function. We achieve 84% median accuracy across a set of 154 cell labels in this highly variable system. These results demonstrate the feasibility of the automatic annotation of microscopy-based images in adult C.elegans.