2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

ACC/AHA
: American College of Cardiology/American Heart Association
ACCF/AHA
: American College of Cardiology Foundation/American Heart Association
ACE
: angiotensin-converting enzyme
ACEI
: angiotensin-converting enzyme inhibitor
ACS
: acute coronary syndrome
AF
: atrial fibrillation

/pdf/2016-esc-guidelines-for-the-diagnosis-and-treatment-of-acute-53v7yllhiz.pdf

2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC)

/pdf/2017-esc-guidelines-for-the-management-of-acute-myocardial-14hhjrfylv.pdf

2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC).

The Task Force for the management of atrial fibrillation of the European Society of Cardiology (ESC)  

Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC  

Endorsed by the European Stroke Organisation (ESO)

/pdf/2016-esc-guidelines-for-the-management-of-atrial-ba0601yb9m.pdf

2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS

/pdf/2016-esc-guidelines-for-the-management-of-atrial-36b2cidm1x.pdf

2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS: The Task Force for the management of atrial fibrillation of the European Society of Cardiology (ESC). Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Endorsed by the European Stroke Organisation (ESO)

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online) 

Primary bile acids differentially regulate differentiation of human abdominal and gluteal pre-adipocytes

Purpose of review Acute coronary syndromes represent the commonest cause of out-of-hospital cardiac arrest (OHCA) in adults. Coronary angiography (CAG) followed by percutaneous coronary intervention (PCI) has been established as the treatment strategy for these patients. In this review, we aim first to discuss the potential risks and expected benefits from it, the caveats in its implementation, and the current tools for patient selection. Then summarize the recent evidence on the group of patients without ST-segment elevation on post-return of spontaneous circulation (ROSC) ECG. Recent findings The implementation of this strategy still shows a wide variation among the various systems of care. The presence of ST-segment elevation on post-ROSC ECG remains the most reliable tool for patient selection for immediate CAG. A primary PCI strategy is currently recommended for patients with ST-segment elevation on post-ROSC ECG regardless of the conscious state of patients. Recently several randomised studies including patients without ST-segment elevation on post-ROSC ECG showed no benefit with immediate CAG compared to delayed/ elective CAG. This has led to a substantial although not uniform change in current recommendations. Summary Recent studies show no benefit with immediate CAG in groups of patients without ST-segment elevation on post-ROSC ECG. Further refinements in selecting the appropriate patients for immediate CAG seem necessary.

Coronary angiography after cardiac arrest

BACKGROUND AND AIM Several environmental and socio-economic neighbourhood factors have been reported to majorly impact human health, but their interplay is not yet well understood as simultaneous analyses are sparse. We aimed to identify the driving contextual factors and assess their predictive ability for cardiovascular disease (CVD) mortality in a neighbourhood setting by comparing several machine learning methods. METHODS We obtained the number of CVD deaths per county for entire Germany for 2017. Most socio-economic factors (e.g. proportion of unemployed, foreigners, household income, deprivation index) were also only available on a county level, whereas most environmental factors (e.g. imperviousness, greenness, air pollution, noise, building density) could be gained on a higher spatial resolution (10m-2.4km). All data was aggregated to a 5km*5km grid to compile compliant prediction maps. In addition to traditional linear and additive regression models, we applied one neighbour-based method and several statistical, ensemble and deep learning approaches using a random search strategy for hyper-parameter tuning. Variable importance was assessed by SHapely Additive exPlanations (SHAP) values. RESULTS CVD mortality for the 5km grid ranged from 2.5 to 8.1 per 10,000 residents with a mean of 4.7 (standard deviation 1.0). The models performed well in the training phase with R² between 0.85-1.00, mean squared error (MSE) between 0.001-0.005, and moderate to well in our test data (R²: 0.27-0.66; MSE: 0.011-0.024). Most models identified the deprivation index as the most important predictor followed by the proportion of foreigners, unemployed, median income and air pollution. Comparison of our predicted and observed CVD mortality rates showed high correlations for all models (Spearman r: 0.69-0.82), though prediction maps indicated heterogeneity in spatial patterns. CONCLUSIONS The selected approaches differed in their predictive ability but identified similar predictors as the main drivers for CVD mortality. KEYWORDS Machine learning, prediction, cardiovascular mortality, environment, spatial predictors 

Nikolaos Nikolaou

Papers

Primary bile acids differentially regulate differentiation of human abdominal and gluteal pre-adipocytes

Coronary angiography after cardiac arrest

Comparison of machine learning methods for the prediction of cardiovascular mortality from environmental and socio-economic neighbourhood factors

Differential localisation of the A-ring reductases in human hepatocytes: implications for substrate preference and utilisation

iPSC-derived hepatocytes as a novel tool for glycogen storage disease 1A (GSD1A) modelling and drug screening