Publications by authors named "Dorr R"

Healthcare professionals, particularly those in test centers, laboratories, or specialized COVID-19 wards, are in danger of becoming infected. Patients with special underlying health conditions are at an increased risk of getting very sick, being hospitalized, or dying from COVID-19. Age is a leading risk factor in this context.

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Objectives: Automated systems for information extraction are becoming very useful due to the enormous scale of the existing literature and the increasing number of scientific articles published worldwide in the field of medicine. We aimed to develop an accessible method using the open-source platform KNIME to perform text mining (TM) on indexed publications. Material from scientific publications in the field of life sciences was obtained and integrated by mining information on hemolytic uremic syndrome (HUS) as a case study.

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Hemolytic uremic syndrome (HUS) is characterized by thrombotic microangiopathy, hemolytic anemia, thrombocytopenia and acute renal failure. It can cause from permanent sequelae to death, mainly in children. In this work, using text mining (TM), we analyzed the explicit and implicit text of 16 192 original scientific articles on HUS indexed in the Europe PMC database.

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After 2 years and 5 waves of the coronavirus disease 2019 (COVID-19) pandemic in Germany and experience with superspreader events worldwide, we know that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a rapidly mutating virus with changing clinical phenotypes. Besides infections of the respiratory tract, which in severe cases are accompanied by pneumonia requiring mechanical ventilation, the involvement of the heart with myocarditis and pericarditis as well as the kidneys have short-term and also long-term consequences. We have learnt to deal with myocarditis and pericarditis in acute infections and after vaccinations, which in rare cases can also lead to myocarditis and pericarditis.

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Cardiac amyloidosis is still considered a rare disease, although recent data show that it is the cause of cardiac dysfunction more frequently than expected. The diagnosis of cardiac amyloidosis is based on the detection of extracellular deposits of misfolded proteins in the myocardium. This detection can be made invasively or noninvasively and is based on a tentative diagnosis that forms the foundation for further diagnostic measures.

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In the present work we use text mining as a treatment tool for a large scientific database, with the aim of obtaining new information about all the publications signed by Argentine authors and indexed until 2019, in the area of life sciences. More than 75 000 articles were analysed, published in around 5000 media, signed by about 186 000 authors with a workplace in Argentina or in collaborations with Argentine laboratories. Using automated tools that were developed ad hoc, the text of around 70 800 abstracts was analysed, seeking, through non-supervised digital detection, the main topics addressed by the authors, and the relationship with health problems in Argentina and their treatment.

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The joint position paper of the working community "Cardiovascular Nuclear Medicine" of the German Society of Nuclear Medicine (DGN) and the working group "Nuclear Cardiology Diagnostics" of the German Cardiac Society (DKG) updates the former 2009 paper. It is the purpose of this paper to provide an overview about the application fields, the state-of-the-art and the current value of nuclear cardiology imaging. The topics covered are chronic coronary artery disease, including viability imaging, furthermore cardiomyopathies, infective endocarditis, cardiac sarcoidosis and amyloidosis.

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The S1 guideline for myocardial perfusion SPECT has been published by the Association of the Scientific Medical Societies in Germany (AWMF) and is valid until 2/2022. This paper is a short summary with comments on all chapters and subchapters wich were modified and amended.

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