The European Network for Translational Research in Atrial Fibrillation (EUTRAF): objectives and initial results.

Atrial fibrillation (AF) is the most common sustained arrhythmia in the general population. As an age-related arrhythmia AF is becoming a huge socio-economic burden for European healthcare systems. Despite significant progress in our understanding of the pathophysiology of AF, therapeutic strategies for AF have not changed substantially and the major challenges in the management of AF are still unmet. This lack of progress may be related to the multifactorial pathogenesis of atrial remodelling and AF that hampers the identification of causative pathophysiological alterations in individual patients. Also, again new mechanisms have been identified and the relative contribution of these mechanisms still has to be established. In November 2010, the European Union launched the large collaborative project EUTRAF (European Network of Translational Research in Atrial Fibrillation) to address these challenges. The main aims of EUTRAF are to study the main mechanisms of initiation and perpetuation of AF, to identify the molecular alterations underlying atrial remodelling, to develop markers allowing to monitor this processes, and suggest strategies to treat AF based on insights in newly defined disease mechanisms. This article reports on the objectives, the structure, and initial results of this network

Оценка конкурентоспособности организации

Цель работы: обозначить пути повышения конкурентоспособности предприятия-производителя электротехнической продукции ООО «СИБАР ГРУПП» В процессе исследования проводились: анализ финансово-хозяйственной деятельности, анализ ассортимента предприятия, выделены основные финансовые показатели деятельности предприятия, проведен анализ конкурентной среды предприятия В результате исследования выявлены слабые места предприятия, рекомендованы меры по повышению конкурентоспособности предприятия на рынке электротехнического оборудования Экономическая эффективность/значимость работы: исполнение рекомендаций для повышения конкурентоспособности В будущем планируется: дальнейшее повышение конкурентоспособности.A research object is LTD "SIBAR GROUP" plant of electrical engineering equipment. Aim of work : to designate the ways of increase of competitiveness of enterprise on the example of enterprise LTD "SIBAR GROUP". In the process of research conducted: analysis of financially-economic activity, analysis of assortment of enterprise, basic financial performance of enterprise indicators are distinguished, the analysis of competition environment of enterprise is conducted. As a result of research the weak points of enterprise are educed, measures are recommended on their strengthening. Basic structural, technological and operating descriptions. Economic efficiency/ is meaningfulness of work : execution of recommendations for the increase of competitiveness

Агроэкологическая оценка продуктивности кукурузы в Беларуси

Etwa jeder fünfte ischämische Schlaganfall wird durch eine kardiale Embolie aufgrund eines oft nicht dauerhaft bestehenden und daher häufig nicht detektierten Vorhofflimmerns (VHF) bedingt. Das Ziel der MonDAFIS-Studie ist es, auf deutschen Stroke Units die Relevanz einer verlängerten stationären EKG-Überwachung für die Detektion eines bis dato nicht bekannten Vorhofflimmerns und die konsekutive medikamentöse Sekundärprävention zu untersuchen

The Registry of the German Competence NETwork on Atrial Fibrillation: patient characteristics and initial management

The aim of this study was to describe the characteristics of patients with atrial fibrillation (AF) enrolled in the Central Registry of the German Competence NETwork on Atrial Fibrillation (AFNET) and to assess current medical practice in patients treated at various levels of medical care in Germany. Methods From February 2004 to March 2006, 9582 ambulatory and hospitalized patients with ECG-documented AF were and results enrolled by 194 participating study centres from all levels of medical care in Germany. Clinical type of AF was reported as paroxysmal in 2893, persistent in 1873, and permanent in 3134 patients or classified as a first episode in 1035 patients. Predisposing conditions were common and present in 87.6 % of the patients. Most patients were symptomatic with AF (75.1%). Rhythm control in persistent AF was provided to 53.4 % of the symptomati

JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling

Many cardiac pathologies involve changes in tissue structure. Conventional analysis of structural features is extremely time-consuming and subject to observer bias. The possibility to determine spatial interrelations between these features is often not fully exploited. We developed a staining protocol and an ImageJ-based tool (JavaCyte) for automated histological analysis of cardiac structure, including quantification of cardiomyocyte size, overall and endomysial fibrosis, spatial patterns of endomysial fibrosis, fibroblast density, capillary density and capillary size. This automated analysis was compared to manual quantification in several well-characterized goat models of atrial fibrillation (AF). In addition, we tested inter-observer variability in atrial biopsies from the CATCH-ME consortium atrial tissue bank, with patients stratified by their cardiovascular risk profile for structural remodeling. We were able to reproduce previous manually derived histological findings in goat models for AF and AV block (AVB) using JavaCyte. Furthermore, strong correlation was found between manual and automated observations for myocyte count (r = 0.94, p < 0.001), myocyte diameter (r = 0.97, p < 0.001), endomysial fibrosis (r = 0.98, p < 0.001) and capillary count (r = 0.95, p < 0.001) in human biopsies. No significant variation between observers was observed (ICC = 0.89, p < 0.001). We developed and validated an open-source tool for high-throughput, automated histological analysis of cardiac tissue properties. JavaCyte was as accurate as manual measurements, with less inter-observer variability and faster throughput

An angiopoietin 2, FGF23, and BMP10 biomarker signature differentiates atrial fibrillation from other concomitant cardiovascular conditions

Early detection of atrial fibrillation (AF) enables initiation of anticoagulation and early rhythm control therapy to reduce stroke, cardiovascular death, and heart failure. In a cross-sectional, observational study, we aimed to identify a combination of circulating biomolecules reflecting different biological processes to detect prevalent AF in patients with cardiovascular conditions presenting to hospital. Twelve biomarkers identified by reviewing literature and patents were quantified on a high-precision, high-throughput platform in 1485 consecutive patients with cardiovascular conditions (median age 69 years [Q1, Q3 60, 78]; 60% male). Patients had either known AF (45%) or AF ruled out by 7-day ECG-monitoring. Logistic regression with backward elimination and a neural network approach considering 7 key clinical characteristics and 12 biomarker concentrations were applied to a randomly sampled discovery cohort (n=933) and validated in the remaining patients (n=552). In addition to age, sex, and body mass index (BMI), BMP10, ANGPT2, and FGF23 identified patients with prevalent AF (AUC 0.743 [95% CI 0.712, 0.775]). These circulating biomolecules represent distinct pathways associated with atrial cardiomyopathy and AF. Neural networks identified the same variables as the regression-based approach. The validation using regression yielded an AUC of 0.719 (95% CI 0.677, 0.762), corroborated using deep neural networks (AUC 0.784 [95% CI 0.745, 0.822]). Age, sex, BMI and three circulating biomolecules (BMP10, ANGPT2, FGF23) are associated with prevalent AF in unselected patients presenting to hospital. Findings should be externally validated. Results suggest that age and different disease processes approximated by these three biomolecules contribute to AF in patients. Our findings have the potential to improve screening programs for AF after external validation