Renal replacement therapy in Europe : A summary of the 2013 ERA-EDTA Registry Annual Report with a focus on diabetes mellitus

Publisher Copyright: © The Author 2016. Published by Oxford University Press on behalf of ERA-EDTA.Background: This article provides a summary of the 2013 European Renal Association-European Dialysis and Transplant Association (ERA-EDTA) Registry Annual Report (available at http://www.era-edta-reg.org), with a focus on patients with diabetes mellitus (DM) as the cause of end-stage renal disease (ESRD). Methods: In 2015, the ERA-EDTA Registry received data on renal replacement therapy (RRT) for ESRD from 49 national or regional renal registries in 34 countries in Europe and bordering the Mediterranean Sea. Individual patient datawere provided by 31 registries, while 18 registries provided aggregated data. The total population covered by the participating registries comprised 650 million people. Results: In total, 72 933 patients started RRT for ESRD within the countries and regions reporting to the ERA-EDTA Registry, resulting in an overall incidence of 112 per million population (pmp). The overall prevalence on 31 December 2013was 738 pmp (n = 478 990). Patients with DM as the cause of ESRD comprised 24% of the incident RRT patients (26 pmp) and 17% of the prevalent RRT patients (122 pmp).Whencompared with the USA, the incidence of patients starting RRTpmpsecondary toDMin Europe was five times lower and the incidence of RRT due to other causes of ESRD was two times lower. Overall, 19 426 kidney transplants were performed (30 pmp). The 5-year adjusted survival for all RRT patients was 60.9% [95% confidence interval (CI) 60.5-61.3] and 50.6% (95% CI 49.9-51.2) for patients with DM as the cause of ESRD.publishersversionPeer reviewe

The European Renal Association - European Dialysis and Transplant Association Registry Annual Report 2014 : a summary

Background: This article summarizes the European Renal Association - European Dialysis and Transplant Association Registry's 2014 annual report. It describes the epidemiology of renal replacement therapy (RRT) for end-stage renal disease (ESRD) in 2014 within 35 countries. Methods: In 2016, the ERA-EDTA Registry received data on patients who in 2014 where undergoing RRT for ESRD, from 51 national or regional renal registries. Thirty-two registries provided individual patient level data and 19 provided aggregated patient level data. The incidence, prevalence and survival probabilities of these patients were determined. Results: In 2014, 70 953 individuals commenced RRT for ESRD, equating to an overall unadjusted incidence rate of 133 per million population (pmp). The incidence ranged by 10-fold; from 23 pmp in the Ukraine to 237 pmp in Portugal. Of the patients commencing RRT, almost two-thirds were men, over half were aged >= 65 years and a quarter had diabetes mellitus as their primary renal diagnosis. By day 91 of commencing RRT, 81% of patients were receiving haemodialysis. On 31 December 2014, 490 743 individuals were receiving RRT for ESRD, equating to an unadjusted prevalence of 924 pmp. This ranged throughout Europe by more than 10-fold, from 157 pmp in the Ukraine to 1794 pmp in Portugal. In 2014, 19 406 kidney transplantations were performed, equating to an overall unadjusted transplant rate of 36 pmp. Again this varied considerably throughout Europe. For patients commencing RRT during 2005-09, the 5-year-adjusted patient survival probabilities on all RRT modalities was 63.3% (95% confidence interval 63.0-63.6). The expected remaining lifetime of a 20-to 24-year-old patient with ESRD receiving dialysis or living with a kidney transplant was 21.9 and 44.0 years, respectively. This was substantially lower than the 61.8 years of expected remaining lifetime of a 20-year-old patient without ESRD.Peer reviewe

An integrated approach to control and manage potato black dot disease: a review

Potato black dot is a foliar and tuber blemish disease that has become an increasingly economic problem in recent years. Black dot is caused by the fungus Colletotrichum coccodes and is characterised by silver/brown lesions on the tuber skin leading to lower aesthetic quality of potatoes destined for the pre-pack market. Given the consumers’ growing demand for washed and pre-packed potatoes, skin blemish diseases (such as black dot and silver scurf), once considered of minor importance, are now serious challenges for the fresh potato industry. The management of C. coccodes is far from satisfactory at either pre- or postharvest stages: firstly, the disease symptoms have not been consistently described on potato plant foliage; and secondly, black dot disease is often confounded with other tuber blemishes during postharvest storage. Good field managing practices in combination with improved postharvest strategies and an accurate detection support tool can be a useful integrated approach to manage potato black dot disease. This review aims to evaluate and critically discuss different novel approaches for better management and detection of potato black dot disease

Prediction of MLB Base Hits Using Machine Learning

Alceo, P., & Henriques, R. (2020). Beat the Streak: Prediction of MLB Base Hits Using Machine Learning. In A. Fred, A. Fred, A. Salgado, D. Aveiro, J. Dietz, J. Bernardino, & J. Filipe (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management: 11th International Joint Conference, IC3K 2019, Revised Selected Papers (pp. 108-133). (Communications in Computer and Information Science; Vol. 1297). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-66196-0_6As the world of sports expands to never seen levels, so does the necessity for tools that provided material advantages for organizations and stakeholders. The objective of this project is to develop a predictive model capable of predicting the odds a baseball player has to achieve a base hit on a given day. After that, using this information to both have a fair shot at winning the game Beat the Streak and providing valuable insights to the coaching staff. This project builds upon the work developed previously in Alceo and Henriques (2019), adding a full season of data, emphasizing new strategies, and displaying more data visualization content. The results achieved on the new season are aligned with the previous work where the best model, a Multi-layer Perceptron, developed in Python achieved an 81% correct pick ratio.authorsversionpublishe

Spanish Guidelines for Diagnosis, Management, Treatment, and Prevention of DRESS Syndrome.

Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is a complex multisystemic severe drug hypersensitivity reaction whose diagnosis and management are troublesome. DRESS syndrome requires management by various specialists. The correct identification of the culprit drug is essential to ensure safe future therapeutic options for the patient. There are no previous Spanish guidelines or consensus statements on DRESS syndrome. Objective: To draft a review and guidelines on the clinical diagnosis, allergy work-up, management, treatment, and prevention of DRESS syndrome in light of currently available scientific evidence and the experience of experts from multiple disciplines. These guidelines were drafted by a panel of allergy specialists from the Drug Allergy Committee of the Spanish Society of Allergy and Clinical Immunology (SEAIC), together with other medical specialists involved in the management of DRESS syndrome and researchers from the PIELenRed consortium. A review was conducted of scientific papers on DRESS syndrome, and the expert panel evaluated the quality of the evidence of the literature and provided grades of recommendation. Whenever evidence was lacking, a consensus was reached among the experts. The first Spanish guidelines on DRESS syndrome are now being published. Important aspects have been addressed, including practical recommendations about clinical diagnosis, identification of the culprit drug through the Spanish pharmacovigilance system algorithm, and the allergy work-up. Recommendations are provided on management, treatment, and prevention. Algorithms for the management of DRESS in the acute and recovery phases have been drawn up. Expert consensus-based stepwise guidelines for the management and treatment of DRESS syndrome are provided