Kokonaiseläke 2010: Työeläke, kansaneläke ja verotus

Katsauksessa on koottu yhteen kokonaiseläkkeeseen vaikuttavien osien määräytyminen kuluvana vuonna. Esimerkkitaulukoiden avulla on esitetty, miten kokonaisnettoeläke muodostuu eri tulotasoilla. Katsauksessa on tarkasteltu työeläkkeen ja kansaneläkkeen ja sen lisien määräytymistä ja eläkkeiden verotusta kyseisenä vuonna. Eläkkeiden verotuksen yhteydessä on tarkasteltu verotusta yleisemminkin ja vertailtu eläkkeensaajien vero- ja maksurasitetta eri tulotasoilla palkansaajien vastaavaan

ESC 2019 guidelines for the diagnosis and management of chronic coronary syndromes Recommendations for cardiovascular imaging

The European Society of Cardiology (ESC) has recently published new guidelines on the diagnosis and management of chronic coronary syndromes (CCS). Due to variable symptoms, objective tests are often necessary to confirm the diagnosis, exclude alternative diagnoses, and assess the severity of underlying disease. This review provides a summary of the main diagnostic strategies listed in the guidelines for evaluation of patients suspected of having obstructive coronary artery disease (CAD). Based on data from contemporary cohorts of patients referred for diagnostic testing, the pre-test probabilities of obstructive CAD based on age, sex, and symptoms have been adjusted substantially downward compared with the previous guidelines. Further, a new concept of "clinical likelihood of CAD" was introduced accounting for the impact of various risk factors and modifiers on the pre-test probability. Noninvasive functional imaging for myocardial ischemia, coronary computed tomography angiography, or invasive coronary angiography combined with functional evaluation is recommended as the initial strategy to diagnose CAD in symptomatic patients, unless obstructive CAD can be excluded by clinical assessment alone. When available, imaging tests are recommended as noninvasive modalities instead of exercise electrocardiograms

Cardiac perfusion by positron emission tomography

Myocardial perfusion imaging (MPI) with positron emission tomography (PET) is an established tool for evaluation of obstructive coronary artery disease (CAD). The contemporary 3-dimensional scanner technology and the state-of-the-art MPI radionuclide tracers and pharmacological stress agents, as well as the cutting-edge image reconstruction techniques and data analysis software, have all enabled accurate, reliable and reproducible quantification of absolute myocardial blood flow (MBF), and henceforth calculation of myocardial flow reserve (MFR) in several clinical scenarios. In patients with suspected coronary artery disease, both absolute stress MBF and MFR can identify myocardial territories subtended by epicardial coronary arteries with haemodynamically significant stenosis, as defined by invasive coronary fractional flow reserve measurement. In particular, absolute stress MBF and MFR offered incremental prognostic information for predicting adverse cardiac outcome, and hence for better patient risk stratification, over those provided by traditional clinical risk predictors. This article reviews the available evidence to support the translation of the current techniques and technologies into a useful decision-making tool in real-world clinical practice

Genomikeskus - tarpeeton viranomainen?

Suomeen suunnitellun genomikeskuksen kaltainen viranomainen olisi Euroopassa poikkeuksellinen. Väestön genomitiedon keskitetyn rekisteröinnin lähtökohdat ovat vanhentuneet

Genomikeskus - tarpeeton viranomainen?

Suomeen suunnitellun genomikeskuksen kaltainen viranomainen olisi Euroopassa poikkeuksellinen. Väestön genomitiedon keskitetyn rekisteröinnin lähtökohdat ovat vanhentuneet

Molecular Imaging to Monitor Left Ventricular Remodeling in Heart Failure

Purpose of Review: Cardiovascular diseases are the leading cause of deaths worldwide. Many complex cellular and molecular pathways lead to myocardial remodeling after ischemic insults. Anatomy, function, and viability of the myocardium can be assessed by modern medical imaging techniques by both visualizing and quantifying damages. Novel imaging techniques aim for a precise and accurate visualization of the myocardium and for the detection of alternations at the molecular level.Recent Findings: Magnetic resonance imaging assesses anatomy, function, and tissue characterization of the myocardium non-invasively with high spatial resolution, sensitivity, and specificity. Using hyperpolarized magnetic resonance imaging, molecular and metabolic conditions can be assessed non-invasively. Single photon-emission tomography and positron-emission tomography are the most sensitive techniques to detect biological processes in the myocardium. Cardiac perfusion, metabolism, and viability are the most common clinical targets. In addition, molecular-targeted imaging of biological processes involved in heart failure, such as myocardial innervation, inflammation, and extracellular matrix remodeling, is feasible.Summary: Novel imaging techniques can provide a precise and accurate visualization of the myocardium and for the detection of alternations at molecular level.</div

Increased B-Type Natriuretic Peptide Concentration Is Associated with Reduced Coronary Vasoreactivity in Patients with Dilated Cardiomyopathy but Not in Healthy Young Subjects

Background/Aims. Natriuretic peptides are associated with the cardiovascular disease risk under a range of different circumstances. However, less is known about whether this association is found also in young healthy subjects. Methods. 9 patients with dilated cardiomyopathy and 26 healthy young subjects were studied. The myocardial blood flow measurements were performed basally and during adenosine infusion using PET. Results. S-proBNP concentrations were significantly higher (2153 ± 1964 versus 28 ± 17 ng/L, P = .000002) and adenosine-stimulated flow lower (1.6 ± 0.8 versus 3.6 ± 1.1 mL·g−1·min−1, P = .00001) in patients with dilated cardiomyopathy when compared to healthy subjects. S-proBNP concentration was inversely associated with adenosine stimulated flow in patients with dilated cardiomyopathy (r = −0.75, P = .019) but not in healthy subjects (r = −0.06, P = .84). Conclusions. Natriuretic peptides are inversely associated with coronary vasoreactivity in patients with dilated cardiomyopathy but not in healthy young subjects. Since reduced coronary vasoreactivity seems to be one of the earliest abnormalities in the development of coronary artery disease, this might indicate that natriuretic peptides are not predictor of cardiovascular disease risk in healthy young subjects

Improving patient identification for advanced cardiac imaging through machine learning-integration of clinical and coronary CT angiography data

Background: Standard computed tomography angiography (CTA) outputs a myriad of interrelated variables in the evaluation of suspected coronary artery disease (CAD). But an important proportion of obstructive lesions does not cause significant myocardial ischemia. Nowadays, machine learning (ML) allows integration of numerous variables through complex interdependencies that optimize classification and prediction at the individual level. We evaluated ML performance in integrating CTA and clinical variables to identify patients that demonstrate myocardial ischemia through PET and those who ultimately underwent early revascularization. Methods and results: 830 patients with CTA and selective PET were analyzed. Nine clinical and 58 CTA variables were integrated through ensemble-boosting ML to identify patients with ischemia and those who underwent early revascularization. ML performance was compared against expert CTA interpretation, calcium score and clinical variables. While ML using all CTA variables achieved an AUC = 0.85, it was outperformed by expert CTA interpretation (AUC = 0.87, p < 0.01 for comparison), comparable to ML integration of CTA variables with clinical variables. However, the best performance was achieved by ML integration of expert CTA interpretation and clinical variables for both dependent variables (AUCs = 0.91 and 0.90, p < 0.001). Conclusions: Machine learning integration of diagnostic CTA and clinical data may improve identification of patients with myocardial ischemia and those requiring early revascularization at the individual level. This could potentially aid in sparing the need for subsequent advanced imaging and better identifying patients in ultimate need for revascularization. While ML integrating all CTA variables did not outperform expert CTA interpretation, ML data integration from different sources consistently improves diagnostic performance. (C) 2021 The Authors. Published by Elsevier B.V