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2. Prognostic value of adenosine stress cardiovascular magnetic resonance in patients with low-risk chest pain

Author

Oshinski John N, Alexopoulos Nikolaos, Janik Matthew, Anadiotis Athanasios V, McLean Dalton S, Lerakis Stamatios, Zaragoza-Macias Elisa, Veledar Emir, and Stillman Arthur E

Subjects
Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Abstract Background Approximately 5% of patients with an acute coronary syndrome are discharged from the emergency room with an erroneous diagnosis of non-cardiac chest pain. Highly accurate non-invasive stress imaging is valuable for assessment of low-risk chest pain patients to prevent these errors. Adenosine stress cardiovascular magnetic resonance (AS-CMR) is an imaging modality with increasing application. The goal of this study was to evaluate the negative prognostic value of AS-CMR among low-risk acute chest pain patients. Methods We studied 103 patients, mean 56.7 ± 12.3 years of age, with chest pain and no electrocardiographic evidence of ischemia and negative cardiac biomarkers of necrosis, who were admitted to the Cardiac Decision Unit of our institution. All patients underwent AS-CMR. A negative AS-CMR was defined as absence of all the following: regional wall motion abnormalities at rest; perfusion defects during stress (adenosine) and rest; and myocardial scar on late gadolinium enhancement images. The patients were followed for a mean of 277 (range 161-462) days. The primary end point was defined as the combination of cardiac death, nonfatal acute myocardial infarction, re-hospitalization for chest pain, obstructive coronary artery disease (>50% coronary stenosis on invasive angiography) and coronary revascularization. Results In 14 patients (13.6%), AS-CMR was positive. The remaining 89 patients (86.4%), who had negative AS-CMR, were discharged. No patient with negative AS-CMR reached the primary end-point during follow-up. The negative predictive value of AS-CMR was 100%. Conclusion AS-CMR holds promise as a useful tool to rule out significant coronary artery disease in patients with low-risk chest pain. Patients with negative AS-CMR have an excellent short and mid-term prognosis.

Published
2009
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5. Clinical challenges in interpreting multiple pathogenic mutations in single patients

Author

Christa Slaught, Elizabeth G. Berry, Lindsay Bacik, Alison H. Skalet, George Anadiotis, Therese Tuohy, and Sancy A. Leachman

Subjects
Melanoma, Genetics, Compound heterozygosity, BAP-1, MSH6, RECQL4, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, QH426-470
Abstract

Abstract Background In the past two decades, genetic testing for cancer risk assessment has entered mainstream clinical practice due to the availability of low-cost panels of multiple cancer-associated genes. However, the clinical value of multiple-gene panels for cancer susceptibility is not well established, especially in cases where panel testing identifies more than one pathogenic variant. The risk for specific malignancies as a result of a mutated gene is complex and likely influenced by superimposed modifier variants and/or environmental effects. Recent data suggests that the combination of multiple pathogenic variants may be fewer than reported by chance, suggesting that some mutation combinations may be detrimental. Management of patients with “incidentally” discovered mutations can be particularly challenging, especially when established guidelines call for radical procedures (e.g. total gastrectomy in CDH1) in patients and families without a classic clinical history concerning for that cancer predisposition syndrome. Case presentation We present two cases, one of an individual and one of a family, with multiple pathogenic mutations detected by multi-gene panel testing to highlight challenges practitioners face in counseling patients about pathogenic variants and determining preventive and therapeutic interventions. Conclusions Ongoing investigation is needed to improve our understanding of inherited susceptibility to disease in general and cancer predisposition syndromes, as this information has the potential to lead to the development of more precise and patient-specific counseling and surveillance strategies. The real-world adoption of new or improved technologies into clinical practice frequently requires medical decision-making in the absence of established understanding of gene-gene interactions. In the meantime, practitioners must be prepared to apply a rationale based on currently available knowledge to clinical decision-making. Current practice is evolving to rely heavily on clinical concordance with personal and family history in making specific therapeutic decisions.

Published
2021
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6. Genetic variants in DDX53 contribute to autism spectrum disorder associated with the Xp22.11 locus

Author

Scala, Marcello, Bradley, Clarrisa A., Howe, Jennifer L., Trost, Brett, Salazar, Nelson Bautista, Shum, Carole, Mendes, Marla, Reuter, Miriam S., Anagnostou, Evdokia, MacDonald, Jeffrey R., Ko, Sangyoon Y., Frankland, Paul W., Charlebois, Jessica, Elsabbagh, Mayada, Granger, Leslie, Anadiotis, George, Pullano, Verdiana, Brusco, Alfredo, Keller, Roberto, Parisotto, Sarah, Pedro, Helio F., Lusk, Laina, McDonnell, Pamela Pojomovsky, Helbig, Ingo, Mullegama, Sureni V., Douine, Emilie D., Corona, Rosario Ivetth, Russell, Bianca E., Nelson, Stanley F., Graziano, Claudio, Schwab, Maria, Simone, Laurie, Zara, Federico, and Scherer, Stephen W.

Published
2025
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8. GGC Repeat Expansion and Exon 1 Methylation of XYLT1 Is a Common Pathogenic Variant in Baratela-Scott Syndrome

Author

LaCroix, Amy J., Stabley, Deborah, Sahraoui, Rebecca, Adam, Margaret P., Mehaffey, Michele, Kernan, Kelly, Myers, Candace T., Fagerstrom, Carrie, Anadiotis, George, Akkari, Yassmine M., Robbins, Katherine M., Gripp, Karen W., Baratela, Wagner A.R., Bober, Michael B., Duker, Angela L., Doherty, Dan, Dempsey, Jennifer C., Miller, Daniel G., Kircher, Martin, Bamshad, Michael J., Nickerson, Deborah A., Mefford, Heather C., and Sol-Church, Katia

Published
2019
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9. More power to SPARQL: From paths to trees

Author

Anadiotis, Angelos, Manolescu, Ioana, Mohanty, Madhulika, Oracle Labs Switzerland, Rich Data Analytics at Cloud Scale (CEDAR), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and ANR-20-CHIA-0015,SourcesSay,Analyse et Interconnexion Intelligente des Contenus Héterogènes dans des Arènes Numériques(2020)

Subjects
Keyword Search, Exploratory Search, [INFO]Computer Science [cs], Graph Queries
Abstract

International audience; Exploring Knowledge Graphs (KGs, in short) to discover facts and links is tedious even for experts with knowledge of SPARQL due to their unfamiliarity with the structure and labels of entities, classes and relations. Some KG applications require finding the connections between groups of nodes, even if users ignore the shape of these connections. However, SPARQL only allows checking if paths exist, not returning them. A recent property graph query language, GPML, allows also returning connecting paths, but not connections between three or more nodes. We propose to demonstrate RelSearch, a system supporting extended SPARQL queries, featuring standard Basic Graph Patterns (BGPs) as well as novel Connecting Tree Patterns (CTPs); each CTP requests the connections (paths, or trees) between nodes bound to variables. RelSearch evaluates such extended queries using novel algorithms which, unlike prior keyword search methods, return connections regardless of the edge directions and are independent of how we measure the quality (score) of each connection. We will demonstrate RelSearch's expressivity and efficiency using a variety of RDF graphs, user-selected score functions, and search exploration orders.

Published
2023

10. Intégration de la recherche de connexion dans les requêtes de graphique

Author

Anadiotis, Angelos Christos, Manolescu, Ioana, Mohanty, Madhulika, Mohanty, Madhulika, Oracle Labs Switzerland, École polytechnique (X), Rich Data Analytics at Cloud Scale (CEDAR), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ANR-20-CHIA-0015,SourcesSay,Analyse et Interconnexion Intelligente des Contenus Héterogènes dans des Arènes Numériques(2020), and Inria Saclay - Île de France

Subjects
FOS: Computer and information sciences, Artificial Intelligence (cs.AI), [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Computer Science - Databases, [INFO.INFO-WB] Computer Science [cs]/Web, Computer Science - Artificial Intelligence, [INFO.INFO-WB]Computer Science [cs]/Web, Keyword Search on Graphs, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], Databases (cs.DB), [INFO]Computer Science [cs], Graph Queries, Graph Data Management
Abstract

National audience; Graph data management and querying has many practical applications. When graphs are very heterogeneous and/or users are unfamiliar with their structure, they may need to find how two or more groups of nodes are connected in a graph, even when users are not able to describe the connections. This is only partially supported by existing query languages, which allow searching for paths, but not for trees connecting three or more node groups. The latter is related to the NP-hard Group Steiner Tree problem, and has been previously considered for keyword search in databases. In this work, we formally show how to integrate connecting tree patterns (CTPs, in short) within a graph query language such as SPARQL or Cypher, leading to an Extended Query Language (or EQL, in short). We then study a set of algorithms for evaluating CTPs; we generalize prior keyword search work, most importantly by (i) considering bidirectional edge traversal and (ii) allowing users to select any score function for ranking CTP results. To cope with very large search spaces, we propose an efficient pruning technique and formally establish a large set of cases where our algorithm, MOLESP, is complete even with pruning. Our experiments validate the performance of our CTP and EQL evaluation algorithms on a large set of synthetic and real-world workloads.

Published
2023

12. Multiple coronary micro-aneurysm formation after drug-eluting stent implantation

Author

Apostolos H. Christou, Emmanouil C. Papadakis, Nikolaos I. Nikolaou, Dionysios G. Antonatos, Athanasios V. Anadiotis, and Sotirios P. Patsilinakos

Subjects
Coronary artery aneurysm, coronary intervention, optical coherence tomography, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Although there are limited data regarding the formation of coronary artery aneurysms (CAAs) after drug-eluting stent (DES) implantation, CAAs appear to be a rare complication of coronary stenting. The exact mechanism of CAA formation is unknown, but several hypotheses have been proposed. As the use of DES increases, the clinical significance of these findings will become clearer. We report on a patient who developed multiple CAAs in 2 different locations after sirolimus-eluting stent implantation.

Published
2016
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13. Towards Speeding Up Graph-Relational Queries in RDBMSs

Author

Anadiotis, Angelos, Goasdoué, François, Haddad, Mhd Yamen, Manolescu, Ioana, Oracle Labs Switzerland, Rich Data Analytics at Cloud Scale (CEDAR), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), A Symbolic and Human-centric view of dAta MANagement (SHAMAN), GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), and ANR-18-CE23-0003,CQFD,Requêtes Ontologiques Complexes sur des Fédérations de Données Hétérogènese(2018)

Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Graph data management, query execution, indexing, query optimization
Abstract

International audience

Published
2022

19. Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens

Author

Helena Galhardas, Angelos-Christos G. Anadiotis, Théo Bouganim, Stephane Horel, Oana Balalau, Ioana Manolescu, Youssr Youssef, Francesco Chimienti, Mhd Yamen Haddad, Rich Data Analytics at Cloud Scale (CEDAR), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), Le Monde, ANR-20-CHIA-0015,SourcesSay,Analyse et Interconnexion Intelligente des Contenus Héterogènes dans des Arènes Numériques(2020), and École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France

Subjects
heterogeneous datasets, Graph database, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Computer science, 02 engineering and technology, investigative journalism, computer.software_genre, Data science, Pipeline (software), keyword search, Variety (cybernetics), Information extraction, 020204 information systems, Component (UML), Scalability, 0202 electrical engineering, electronic engineering, information engineering, Graph (abstract data type), 020201 artificial intelligence & image processing, computer, Data integration
Abstract

International audience; Investigative Journalism (IJ, in short) requires combining highly heterogeneous digital datasets coming from a wide variety of sources. We have developed ConnectionLens, a system that integrates such sources into a single heterogeneous graph and enables users to query the graph using keywords. The first iteration of the system [7] followed a mediator architecture which severely constrained its query scalability. Thus, we fully re-engineered the system, moving it to a warehouse architecture, and replacing its core components (information extraction, data querying, and interactive interfaces), which allowed us to handle uses cases orders of magnitude larger than the previous platform. In a consortium of computer scientists and investigative journalists, we propose to demonstrate ConnectionLens' capability to integrate arbitrary heterogeneous datasets and query them flexibly by means of keywords. Among several scenarios, our main focus will be on a real-world journalistic use case about situations which may lead to Conflicts of Interest between biomedical experts and various organizations, such as corporations, lobbies, etc. The demonstration will showcase the end-to-end data analysis pipeline, illustrate each system component, and the different parameters governing graph creation and querying.

Published
2021
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24. Graph integration of structured, semistructured and unstructured data for data journalism

Author

Jingmao You, Tayeb Merabti, Oana Balalau, Ioana Manolescu, Angelos-Christos G. Anadiotis, Helena Galhardas, Mhd Yamen Haddad, Catarina Conceição, Rich Data Analytics at Cloud Scale (CEDAR), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), ANR-20-CHIA-0015, ANR-20-CHIA-0015,SourcesSay,Analyse et Interconnexion Intelligente des Contenus Héterogènes dans des Arènes Numériques(2020), and École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France

Subjects
FOS: Computer and information sciences, Computer Science - Artificial Intelligence, Relational database, Computer science, computer.internet_protocol, named entity recognition, 02 engineering and technology, computer.software_genre, Set (abstract data type), Computer Science - Databases, Data journalism, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, information extraction, RDF, computer.programming_language, Information retrieval, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Databases (cs.DB), Unstructured data, computer.file_format, JSON, Information extraction, Artificial Intelligence (cs.AI), Hardware and Architecture, heterogeneous data integration, 020201 artificial intelligence & image processing, computer, Software, XML, Information Systems
Abstract

Digital data is a gold mine for modern journalism. However, datasets which interest journalists are extremely heterogeneous, ranging from highly structured (relational databases), semi-structured (JSON, XML, HTML), graphs (e.g., RDF), and text. Journalists (and other classes of users lacking advanced IT expertise, such as most non-governmental-organizations, or small public administrations) need to be able to make sense of such heterogeneous corpora, even if they lack the ability to define and deploy custom extract-transform-load workflows, especially for dynamically varying sets of data sources. We describe a complete approach for integrating dynamic sets of heterogeneous datasets along the lines described above: the challenges we faced to make such graphs useful, allow their integration to scale, and the solutions we proposed for these problems. Our approach is implemented within the ConnectionLens system; we validate it through a set of experiments., 40 pages, 9 figures. arXiv admin note: substantial text overlap with arXiv:2007.12488, arXiv:2009.04283

Published
2021
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26. Empowering Investigative Journalism with Graph-based Heterogeneous Data Management

Author

Anadiotis, Angelos-Christos, Balalau, Oana, Bouganim, Théo, Chimienti, Francesco, Galhardas, Helena, Haddad, Mhd Yamen, Horel, Stéphane, Manolescu, Ioana, Youssef, Youssr, Département d'informatique de l'École polytechnique (X-DEP-INFO), École polytechnique (X), Ecole Polytechnique Fédérale de Lausanne (EPFL), Institut Polytechnique de Paris (IP Paris), Rich Data Analytics at Cloud Scale (CEDAR), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa (INESC-ID), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST)-Instituto de Engenharia de Sistemas e Computadores (INESC), University of Lisboa, Le Monde, and École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France

Subjects
FOS: Computer and information sciences, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Computer Science - Databases, Databases (cs.DB), [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Abstract

International audience; Investigative Journalism (IJ, in short) is staple of modern, democratic societies. IJ often necessitates working with large, dynamic sets of heterogeneous, schema-less data sources, which can be structured, semi-structured, or textual, limiting the applicability of classical data integration approaches. In prior work, we have developed ConnectionLens, a system capable of integrating such sources into a single heterogeneous graph, leveraging Information Extraction (IE) techniques; users can then query the graph by means of keywords, and explore query results and their neighborhood using an interactive GUI. Our keyword search problem is complicated by the graph heterogeneity, and by the lack of a result score function that would enable pruning of the search space. In this work, we describe an actual IJ application studying conflicts of interest in the biomedical domain, and we show how ConnectionLens supports it. Then, we present novel techniques addressing the scalability challenges raised by this application: one allows us to reduce the significant IE costs while building the graph, while the other is a novel, parallel, in-memory keyword search engine, which achieves orders of magnitude speed-up over our previous engine. Our experimental study on the realworld IJ application data confirms the benefits of our contributions.

Published
2021

27. Clinical challenges in interpreting multiple pathogenic mutations in single patients

Author

Therese Tuohy, Christa Slaught, Sancy A. Leachman, Elizabeth G. Berry, George Anadiotis, Alison H. Skalet, and Lindsay Bacik

Subjects
0301 basic medicine, medicine.medical_specialty, BAP-1, lcsh:QH426-470, Concordance, Psychological intervention, Case Report, Disease, lcsh:RC254-282, 03 medical and health sciences, 0302 clinical medicine, Genetics, Medicine, Family history, Intensive care medicine, Melanoma, Genetics (clinical), Compound heterozygosity, RECQL4, business.industry, MSH6, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Genetic Testing for Cancer Risk, Human genetics, lcsh:Genetics, 030104 developmental biology, Oncology, Current practice, 030220 oncology & carcinogenesis, business
Abstract

Background In the past two decades, genetic testing for cancer risk assessment has entered mainstream clinical practice due to the availability of low-cost panels of multiple cancer-associated genes. However, the clinical value of multiple-gene panels for cancer susceptibility is not well established, especially in cases where panel testing identifies more than one pathogenic variant. The risk for specific malignancies as a result of a mutated gene is complex and likely influenced by superimposed modifier variants and/or environmental effects. Recent data suggests that the combination of multiple pathogenic variants may be fewer than reported by chance, suggesting that some mutation combinations may be detrimental. Management of patients with “incidentally” discovered mutations can be particularly challenging, especially when established guidelines call for radical procedures (e.g. total gastrectomy in CDH1) in patients and families without a classic clinical history concerning for that cancer predisposition syndrome. Case presentation We present two cases, one of an individual and one of a family, with multiple pathogenic mutations detected by multi-gene panel testing to highlight challenges practitioners face in counseling patients about pathogenic variants and determining preventive and therapeutic interventions. Conclusions Ongoing investigation is needed to improve our understanding of inherited susceptibility to disease in general and cancer predisposition syndromes, as this information has the potential to lead to the development of more precise and patient-specific counseling and surveillance strategies. The real-world adoption of new or improved technologies into clinical practice frequently requires medical decision-making in the absence of established understanding of gene-gene interactions. In the meantime, practitioners must be prepared to apply a rationale based on currently available knowledge to clinical decision-making. Current practice is evolving to rely heavily on clinical concordance with personal and family history in making specific therapeutic decisions.

Published
2021

28. RELIGIOSITY AND CORONARY HEART DISEASE IN GREEK ADULTS.

Author

Anadiotis, Athanasios, Toylia, Georgia, Kapadochos, Theodoros, and Tsioufis, Konstantinos

Subjects
CARDIOVASCULAR diseases, CORONARY disease, DYSLIPIDEMIA, DIABETES, CLINICAL trials
Abstract

Background: In developed countries, cardiovascular disease is the most common cause of both death and functional disability. The last decades, scientific community shows an increasing interest exploring the relationship between religious and health factors. Aim: The aim of the present study was to explore associations between factors related to religiosity and self-reported Coronary Heart Disease (CHD). Material and Method: This was a descriptive observational study, conducted during a 2-year period. The final studied sample consist- ed of 1062 citizens of Greece. Data collection was performed by using a special designed questionnaire based on relevant literature review. Results: Half of the studied sample was men, (n=529, 49.9%). The majority of participants (77.1%) was living in urban areas of the coun- try and was mean educated (67.1%). When asked about their employment status, most of them (65%) answered that they were profes- sionally active. As far as their medical history is concerned, the majority of participants (88%) had no CHD history, no history of diabetes mellitus (90.3%), no history of dyslipidemias (71.8%) and no history of hypertension (71.8%). Moreover, 29.9% of the participants were overweight. Religious fasting follows 51.4% of the sample and the reason for fasting is because the church imposes fasting rules. The factor "fasting" was also related to CHD occurrence, as those who were following religious fasting had no history of CHD. A significant difference was found between responders with conscious belief in God and CHD occurrence. Conclusion: The findings of this study suggest that factors related to religiosity, such as doubt in God belief and religious fasting may influence CHD incidence. Prospective cohort studies and clinical trial studies that specifically designed to assess the effect of religiosity on CHD outcome are necessary to be conducted. [ABSTRACT FROM AUTHOR]

Published
2022
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29. Graph-based keyword search in heterogeneous data sources

Author

Haddad, Mhd Yamen, Anadiotis, Angelos, Mhd, Yamen, Manolescu, Ioana, Rich Data Analytics at Cloud Scale (CEDAR), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), ANR-20-CHIA-0015,SourcesSay,Analyse et Interconnexion Intelligente des Contenus Héterogènes dans des Arènes Numériques(2020), European Project: 800192,IDEAA, and Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Inria Saclay - Ile de France

Subjects
FOS: Computer and information sciences, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Computer Science - Databases, Databases (cs.DB)
Abstract

Data journalism is the field of investigative journalism which focuses on digital data by treating them as first-class citizens. Following the trends in human activity, which leaves strong digital traces, data journalism becomes increasingly important. However, as the number and the diversity of data sources increase, heterogeneous data models with different structure, or even no structure at all, need to be considered in query answering. Inspired by our collaboration with Le Monde, a leading French newspaper, we designed a novel query algorithm for exploiting such heterogeneous corpora through keyword search. We model our underlying data as graphs and, given a set of search terms, our algorithm nds links between them within and across the heterogeneous datasets included in the graph. We draw inspiration from prior work on keyword search in structured and unstructured data, which we extend with the data heterogeneity dimension, which makes the keyword search problem computationally harder. We implement our algorithm and we evaluate its performance using synthetic and real-world datasets., Informal publication only

Published
2020

30. Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease

Author

Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, Fonseca F, Nicolau J, Koenig W, Anker SD, Kastelein JJP, Cornel JH, Pais P, Pella D, Genest J, Cifkova R, Lorenzatti A, Forster T, Kobalava Z, Vida-Simiti L, Flather M, Shimokawa H, Ogawa H, Dellborg M, Rossi PRF, Troquay RPT, Libby P, Glynn RJ, Novo S, Krum H, Varigos J, Siostrzonek P, Sinnaeve P, Gotcheva N, Yong H, Urina-Triana M, Milicic D, Vettus R, Manolis AJ, Wyss F, Sigurdsson A, Fucili A, Veze I, Petrauskiene B, Salvador L, Klemsdal TO, Medina F, Budaj A, Otasevic P, Lainscak M, Seung KB, Commerford P, Donath M, Hwang JJ, Kultursay H, Bilazarian S, East C, Forgosh L, Harris B, Ligueros M, Bohula E, Charmarthi B, Cheng S, Chou S, Danik J, McMahon G, Maron B, Ning M, Olenchock B, Pande R, Perlstein T, Pradhan A, Rost N, Singhal A, Taqueti V, Wei N, Burris H, Cioffi A, Dalseg AM, Ghosh N, Gralow J, Mayer T, Rugo H, Fowler V, Limaye AP, Cosgrove S, Levine D, Lopes R, Scott J, Hilkert R, Tamesby G, Mickel C, Manning B, Woelcke J, Tan M, Manfreda S, Ponce T, Kam J, Saini R, Banker K, Salko T, Nandy P, Tawfik R, O’Neil G, Manne S, Jirvankar P, Lal S, Nema D, Jose J, Collins R, Bailey K, Blumenthal R, Colhoun H, Gersh B, Abreu M, Actis MV, Aiub J, Aiub F, Albisu J, Alvarisqueta A, Avalos V, Barreto M, Berli MA, Blumberg C, Bocanera M, Botta C, Bowen L, Budassi N, Buhlman S, Westberg JC, Carabajal T, Caruso G, Casala J, Cendali G, Coloma G, Berra FC, Cuneo C, Degennaro N, Dellasa M, Diaz M, Dos Santos P, Espinosa V, Facello A, Facello M, Farias E, Fernandez AA, Ferrari V, Pacora FF, Flores GS, Franco M, Gabito A, Viola HG, Garcia F, Garcia Duran R, Garcia Pinna J, Glenny J, Godoy Sanchez M, Grosse A, Guzman P, Hasbani E, Hominal M, Ibañez J, Jure H, Jure D, Vico ML, Liniado G, Luciardi H, Luquez H, Maehara G, Maffei L, Majul C, Mallagray M, Marinaro S, Martinez J, Massaccesi R, De Los Milagros Had M, Azize GM, Montana O, Montenegro E, Morell Y, Muntaner J, Navarrete S, Olmedo M, Paganini M, Paz S, Perez Manghi F, Piskorz D, Polato C, Recoaro R, Romano A, Salinger M, Sanchez A, Saravia MA, Sarjanovich R, Scaro G, Schiavi LB, Soler J, Tinnirello V, Tomassi A, Valle M, Vallejo MA, Venturini C, Marcela Wenetz LM, Yossen M, Zaidman C, Zalazar L, Zangroniz P, Amerena J, Brady L, Colquhoun D, Eccleston D, Ferreira-Jardim A, French J, Jayasinghe R, Mcintosh C, Ord M, Plotz M, Purnell P, Roberts-Thomson P, Schultz C, Shanahan T, Tan R, Taverner P, Turner F, Vibert J, Vorster M, William M, Youssef G, Bergler-Klein J, Brath H, Brodmann M, Fliesser-Goerzer E, Haider K, Heeren G, Hiden C, Mandic L, Paulweber B, Ploechl A, Prenner A, Steringer-Mascherbauer R, Strohner-Kaestenbauer H, Barbato E, Bouvy C, Briké C, Charlier F, Cools F, De Knijf K, De Wolf L, Delforge M, Deweerdt N, Gits F, Goffinet C, Hermans K, Hollanders G, Mestdagh I, Pirenne B, Servaes V, Simons N, Tahon S, Theunissen E, Van Genechten G, Vervoort G, Vissers C, Vranckx P, Vrolix M, Abib E Jr, Abrantes J, Araujo Fonseca M, Barbosa E, Barroso W, Barroso A, Bodanese L, Botelho R, Costa Amorim R, Da Costa F, Da Silva A, Da Silva O Jr, Da Silva D Jr, Ferreira Dos Santos T, Dos Santos F, Dos Santos A, Duda N, Feitosa G, Felario Junior GA, Ferraz R, Filho P, Fonseca A, Wanderley FF, Freitas E, Fucci F, Marengo Garcia De Carvalho L, Hernandez M, Hettwer Magedanz E, Julião K, Kormann A, Lameira A, Lima F, Lino E, Maia L, Manenti E, Marchi AL, Fischer SM, Michalaros Y, Moraes J Jr, Moreira L, Pagnan M, Pesce F, Pinheiro L, Rassi S, Reis G, Reis H, Resende I, Roel A, Ruschel K, Saporito W, Saraiva JF, Seroqui M, Silva R, Unterkircher B, Vicente C, Vieira N, Xavier JP, Zucchetti C, Angelova I, Dimitrov G, Genova D, Gospodinov K, Goudev A, Grigorova V, Hristova K, Makedonska JJ, Katova T, Kostov K, Lazov P, Manov E, Manukov I, Manukov D, Milanova M, Kabakchieva VM, Petrov D, Petrusheva T, Pramatarova I, Raev D, Runev N, Sirakova-Taseva A, Tisheva-Gospodinova S, Todorova A, Tzekova M, Yakovova S, Yanev T, Abulencia K, Arora S, Baker A, Bata IR, Beaudry M, Belle Isle J, Bilodeau N, Boivin MC, Bolduc H, Bourgeois S, Brons S, Cantor W, Chaussé I, Chhabra A, Chouinard G, Cleveland T, Dattani D, Deslongchamps F, Diodati J, Drouin K, Duchesne L, Fontaine S, d'Amours DG, Gervais B, Gosselin G, Graham J, Grover A, Gupta A, Haldane H, Hartleib M, Hickey L, Huynh T, Johnston J, Julien VE, Lachance P, Lake J, Lamontagne C, Lauzon C, Lepage S, Maheux K, Manyari D, Martin E, McPherson C, Mehta S, Michaud N, Kouz SM, Murphy G, OKeefe D, Otis R, Ouimet F, Pandey S, Peck C, Perkins L, Richert L, Robbins K, Robinson S, Cabau JR, Ross B, Roy C, Roy M, Roy A, Rupka D, Affaki GS, Saunders K, Savard D, Soucy D, St Amour E, Thiessen S, Vertes G, Vezina M, Vincelli G, Weisnagel SJ, Zadra R, Chen J, Chen Y, Dong X, Feng Y, Feng Z, Fu G, Han B, Hao Y, He Y, He Z, Hong T, Jia Z, Jiang T, Jiang J, Jiang X, Ke Y, Li Y, Li Z, Li W, Li X, Liu P, Liu Y, Liu B, Liu S, Liu L, Lu Z, Lv Y, Ma C, Ma G, Peng L, Qing L, Ren L, Sang X, Song M, Sun Z, Wang J, Wang Y, Wei J, Wu W, Wu J, Xu H, Yan J, Yang P, Yang K, Yao Z, Yaoqing H, Yuan Z, Zhai Z, Zhang J, Zhang Y, Zhao R, Zhou H, Accini Mendoza JL, Aparicio CV, Castillo T, Chaverra I, Conrado Y, Coronel J, Cotes C, Cuentas I, Cuervo A, Dussan MA, Echeverria L, Hernandez E, Ibarra J, Isaza D, Jimenez D, Lopez P, Manzur F, Mejia I, Mendoza Y, Molina DI, Patino JM, Rodriguez D, Rodriguez LM, Rodriguez SM, Sanchez Vallejo G, Luz Serrano H, Sotomayor A, Urina M, Vesga B, Yupanqui H, Akrap B, Busic N, Ciglenecki N, Cmrecnjak J, Fucak E, Gabor M, Jeric M, Jutrisa N, Kordic K, Planinc I, Popovic Z, Radeljic V, Sesto I, Sutalo K, Tusek S, Belohlavek J, Budkova J, Busak L, Capova L, Cech V, Cermak O, Coufalova Z, Cyprian R, Dedek V, Dedkova S, Ferkl R, Hanak P, Hanustiakova A, Homza M, Horackova K, Houra M, Iveta H, Kaiserova L, Kala P, Karel I, Kellnerova I, Koleckar P, Kreckova M, Krupicka J, Lorenc Z, Machova V, Malik J, Masarikova L, Matyasek I, Mikus M, Mikusova T, Ondrasik J, Otava M, Palubova L, Pavlickova L, Peterka M, Petrova I, Pokorna B, Povolny P, Radvan M, Reznakova S, Rickova Z, Roszkowska P, Rotreklova M, Samkova D, Skalicka H, Slechticka A, Sternthal P, Telekes P, Tesak M, Vesely P, Vesely J, Vins P, Vitovec M, Vodnansky P, Zidova M, Keba E, Laane E, Pool T, Randvee L, Ratnik E, Reimand M, Reinmets S, Rivis L, Siemann M, Stern M, Toom M, Vahula V, Apel T, Axthelm C, Ayasse D, Ayasse M, Baar M, Baeumer A, Bagi ES, Becker B, Binder A, Blankenberg S, Braun P, Johansen BB, Contzen C, Delfonso F, Denecke C, Dengler T, Donaubauer T, Eichinger G, Englmann E, Erhard M, Faghih M, Foerster A, Frankenstein L, Fuchs R, Furch G, Gaeb-Strasas B, Germann H, Giese C, Goette A, Gravenhorst-Muenter U, Haege R, Haenel T, Hagemann D, Hagenow A, Hanefeld M, Heider J, Heisters J, Hennig D, Hielscher S, Himpel-Boenninghoff A, Holscher A, Hornig M, Jeserich M, Kaczmarek N, Kanitz S, Kara YD, Khariouzov A, Kiefer R, Kiroglu K, Klamm M, Klein C, Korth-Wiemann B, Krapivsky A, Kuenzler J, Kuntzsch A, Landers B, Lappo M, Laube S, Leggewie S, Lehmann D, Lepp H, Lierse T, Lindner C, Luecke-Uzar M, Luedemann J, Marschke T, Maruzzo S, Mauersberger K, Maus O, Meinrich M, Meissner A, Moehring B, Muehlhaus J, Mueller S, Muenter KC, Muenzel T, Naumann R, Nebel J, Neumann J, Nuding S, Overhoff U, Papke B, Pencz I, Peter Y, Peukert AM, Radde I, Rau T, Regner S, Reichenbach D, Reimer D, Rinke A, Roettges R, Romanski A, Rummel R, Samer H, Sanuri M, Sarnighausen HE, Schäfer B, Scheibner T, Schermaul KH, Schindler A, Schlundt C, Schmidt E, Schmidt K, Schnabel A, Schoen N, Schorn K, Schroeder T, Schulenburg D, Schulz M, Schulze U, Schulze J, Schumacher M, Schwerin G, Schwerin M, Stadelmeier S, Stahl HD, Stahl A, Stockhausen J, Stockhausen G, Stoessel J, Stolze K, Stratmann M, Szymanowski N, Teschner AB, Teske A, Uecker C, Veit S, Voeller H, Walter I, Walter J, Walther I, Weber HG, Weimer J, Wichterich K, Wiebusch A, Willmerdinger M, Willner C, Winkelmann B, Winkler J, Wistuba T, Woehrle J, Wohnlich T, Wolf S, Woyczak D, Wrage P, Zirlik A, Anadiotis A, Chachalis G, Dermitzakis A, Kafarakis P, Kaldara E, Kolokathis F, Kostakou P, Lekakis J, Manolis A, Mantas I, Megalou A, Milkas A, Nanas J, Olympios CD, Patsilinakos S, Perperis A, Poulimenos L, Saloustros I, Tsioufis K, Tsorbatzoglou K, Vardas P, Zarifis I, Aguilar M, Arango JL, Borrayo NA, Corona V, Guerrero A, Guzman I, Haase F, De Krumbach L, Montenegro P, Munoz R, Munoz N, Paniagua A, Solares A, Vogel M, Anita S, Blazsek Z, Decsi K, Fulop T, Hangyal T, Hegedus V, Kalina A, Karakai H, Katona A, Kiss RG, Kovacs A, Laszlo Z, Lupkovics G, Medvegy M, Merkely B, Mihaly N, Nagy AC, Dékány JN, Nikoletta P, Noori E, Penzes J, Poor F, Sarszegi Z, Simay A, Simon J, Szakal I, Szatmarine V, Szocs A, Zilahi Z, Karsai XZ, Andersen K, Sigurdadottir E, Skuladottir F, Abdullakutty J, Abhaichand R, Abhyankar A, Agarwal DK, Aggarwal RK, Ahire N, Awasthi AK, Babu R, Bai A, Bali HK, Banker D, Bhadade S, Bisne V, Bohra P, Raghu C, Chauhan D, Chauhan H, Chavada J, Chaware G, Chella S, Chintala P, Dash D, Desai D, Devasia T, Dhanak R, Dobariya H, Dudhatra N, Duhan S, Fulwani M, Ghondale N, Ghosh S, Gohel P, Govindaraj D, Goyal B, Goyal S, Gundala AK, Gupta M, Hardas S, Iby M, Jagtap P, Jain A, Joshi U, Karpuram M, Kaur H, Khan A, Khan R, Kodem DR, Koeitti P, Kulkarni L, Kullal P, Kumar KS, Kumbla M, Latheef K, Lohkare M, Santosh MJ, Makhe B, Mandati M, Mehta A, Minocha G, Mittal A, Modi R, Mohan K, Oomman A, Pai R, Pai V, Palaniswami N, Pansheriya A, Parekh N, Patel J, Patel R, Patole T, Praveen M, Radhakrishnan V, Rajan B A, Rajasekhar D, Rao M, Rao MB, Rao NM, Rathnavel S, Rathore A, Rathore SRS, Rawat S, Reddy NC, Sarma R, Sathe S, Shah J, Shaikh P, Sharma K, Sharma S, Sharma T, Shetty P, Sidhu G, Singh V, Sohi GS, Srinath VS, Raju SS, Taran A, Thakkar B, Velusamy K, Vijan V, Vora V, Vuriya AK, Agosta GF, Antonicelli R, Ardissino D, Argiolas G, Baldin MG, Benedetti G, Berti S, Bevilacqua MT, Bolognesi MG, Dessalvi CC, Calabrese A, Campanale EG, Candusso R, Caso P, Cosmi F, Crea F, Crocamo A, De Caterina R, De Rosa S, Destro M, Di Biase M, Dognini GP, Eleuteri E, Fedele F, Ferrario M, Gabrielli D, Gamba C, Ganau A, Gravellone M, Iannopollo G, Indolfi C, Infusino F, Invitti C, Landolfi A, Lembo G, Liberato NL, Mannucci E, Marino P, Mariottoni B, Marziali A, Mercuro G, Monti L, Mos L, Mureddu V, Musumeci MB, Panzarino C, Parente A, Perotti M, Filardi PP, Petrillo C, Piatti P, Priori S, Racca V, Ragghianti B, Renda G, Righini V, Sarcone M, Senni M, Soro E, Tamburrini P, Vallone L, Villani GQ, Volpe M, Ajioka M, Akai Y, Ashino K, Baden M, Doi M, Eki Y, Endo T, Fukuike C, Hagiwara Y, Hasegawa K, Higuchi Y, Higuchi T, Hioki M, Hirayama A, Hiroma J, Hosokawa S, Ichisawa M, Iijima T, Inada T, Inagaki M, Ito K, Kaigawa K, Kajihara S, Kamiya H, Kamiya J, Kaneno Y, Katahira K, Kataoka M, Kawai M, Kawasaki T, Kojima E, Komura Y, Kuramochi T, Kuruma T, Kyo E, Mani H, Miyamoto T, Morii I, Morinaga Y, Morisawa T, Nagai Y, Naka T, Nakamura Y, Nakamura S, Nakayoshi K, Nishibe A, Ogawa M, Okada Y, Okawa M, Sakamoto Y, Sakurada M, Sasaki S, Seki S, Shimomura H, Shinozaki T, Sugimoto N, Suzuki A, Taguchi S, Takahashi J, Takase S, Tanabe K, Tanaka A, Tani S, Tomioka J, Tsuboi H, Tsuji M, Tsujita K, Tsujiyama S, Umesu A, Yamada T, Yamaguchi E, Yamamoto H, Yamamoto T, Yamane M, Yanase T, Yasuoka S, Yasutake M, Yokoyama M, Yoshida M, Yoshimoto E, Yunoki C, Balode A, Dormidontova G, Flaksa I, Nagele-Luse I, Rancane G, Sime I, Bartuseviciene S, Cepinskiene L, Dobilas V, Grigaraviciene I, Marcinkeviciene J, Mazutavicius R, Miliuniene R, Motiejuniene R, Norkiene S, Norkute-Macijauske U, Rudys A, Slapikas R, Stonkute K, Strazdiene D, Tijuneliene E, Urbonas G, Vanagiene S, Viezelis M, Arenas Leon JL, Bayram E, Carrillo J, Davalos C, De Los Rios M, Delgadillo T, Hernández N, Leon S, Mendoza N, Muñoz W, Ramos G, Anneveldt A, Bakker H, Brouwer M, Bunschoten P, De Boer P, De Jong C, De Vos A, Den Hartog F, Doesborg L, Dommerholt R, Drost I, Ellenbroek D, Engelen W, Folkeringa RJ, Hamer BJB, Herrman JP, Hoogslag PAM, Jansen M, Jerzewski A, Joosten C, Kalkman C, Kietselaer B, Kok M, Kooiman E, Kose V, Lardinois R, Lenderink T, Lok DJA, Lousberg A, Meijlis P, Mulder R, Singerling M, Smeele F, Stroes E, Swart HP, Ten Holt W, Van Der Wal M, Van Der Zwaan C, Van Kempen WW, Van Maarseveen M, Van Stein I, Viergever EP, Visseren FLJ, Voors C, Nugteren SKZ, Ata B, Berulfsen A, Rønnevik TD, Dickstein K, Furuseth B, Grundtvig M, Hansen H, Hofsoey K, Høivik HO, Bøen RH, Hurtig U, Pettersen KI, Johansen E, Kleve R, Kolleroy C, Moen S, Nilsen V, Norin V, Otterstad JE, Risberg K, Rønnevik P, Sirnes PA, Skjelvan G, Strand S, Szacinski G, Vegsundvåg J, Alcalde JM, Gomez Sanchez J, Rodriguez J, Rodriguez A, Zena N, Baszak J, Cymerman K, Czerski T, Fratczak M, Jaguszewska G, Kawka-Urbanek T, Koba M, Kopaczewski J, Kopczyńska M, Laniec M, Lysek R, Sciborski R, Szpajer M, Torun A, Wujkowski M, Zielinski M, Ahn Y, Baek C, Bang SA, Chang K, Choi AJ, Han S, Hyun K, Kim M, Kim KS, Kim B, Lee SH, Lee J, Lee HN, Lee JH, Lee KR, Moon K, Park B, Park C, Tahk S, Yim KH, Yim S, Tase T, Andor M, Aron G, Badea C, Casoinic F, Clocotan M, Coman S, Emil B, Imre BS, Istratoaie O, Liviu C, Maximov D, Militaru C, Minescu B, Istvan KP, Parepa I, Petrescu L, Podoleanu C, Pop CF, Popa V, Popescu E, Radoi M, Sarbu I, Socoteanu E, Socoteanu G, Sorodoc L, Spiridon M, Stanciulescu G, Stefanescu M, Tanaseanu C, Tudoran M, Zdrenghea D, Agafina A, Akatova E, Avdonina N, Balukova E, Barbarash OL, Bartosh L, Boyarkin M, Bulashova O, Burova N, Churina S, Demidova M, Dorogova I, Dovgalevskiy Y, Dovgolis S, Dudarev M, Fitilev S, Gapon L, Gazizianova V, Gordeev I, Ivanov I, Izmozherova N, Kazanskay E, Khirmanov V, Khromtsova O, Konradi A, Kosmacheva E, Kozlova S, Kulibaba E, Kuzin A, Libov I, Lipchenko A, Lozhkina N, Malchikova S, Morozov E, Myslyaeva L, Onuchina E, Palatkina T, Panov A, Parmon E, Petelina T, Repin A, Reznik I, Sazonova E, Sergienko T, Shaposhnik I, Shapovalova Y, Shustov S, Shvarts Y, Skopets I, Skuratova M, Smolenskaya O, Solovev O, Trofimov V, Vasiliev M, Vezikova N, Vozzhaev A, Yakushin S, Zadionchenko V, Apostolovic S, Adjic NC, Ilic I, Ilic S, Nikolic L, Pupic L, Stokuca-Korac N, Antalik L, Bugan V, Csala L, Dokupilova A, Dzupina A, Forgon T, Fulop P, Gonsorcik J, Gyorgyova E, Holoubek D, Horvat P, Kamensky G, Kolikova V, Krupciakova B, Lenner E, Lennerova J, Lukac J, Majercak I, Mancikova I, Micko K, Nociar J, Pales J, Palka J Jr, Poliacik P, Ruffini L, Sabo L, Skubova K, Slanina M, Smik R, Srdos V, Stitova M, Stofkova D, Strbova J, Such S, Toth P, Urgeova L, Vinanska D, Zareczky P, Flezar M, Kovacic D, Marcun R, Zagozen P, Bolsmann C, Conradie C, Dawood SY, Decsi KL, Ebrahim I, Henley L, Horak A, Kapp I, Komati S, Lock E, Maboyi S, Makotoko E, Manga P, Page A, Ramdas S, Ranjith N, Roos J, Talliard C, Ajax K, Al-Khalili F, Assarsson E, Bergholtz T, Blom KB, Boman K, Boström PÅ, Curiac D, Jensen ED, Dahlen G, Davidsson K, Duckert A, Hansson A, Härstedt N, Henriksson A, Olsson GH, Johansson K, Jonsson JE, Knutsson A, Lindholm CJ, Lönnberg I, Lundqvist M, Mellberg L, Moodh J, Mooe T, Olofsson M, Risenfors M, Rönndahl M, Sundelin R, Suorra I, Torgersruud M, Torstensson I, Chang KC, Chen CP, Chen ZC, Chen MH, Cheng SM, Cheng JJ, Fang CY, Ho CJ, Hsieh IC, Huang PH, Huang A, Kuo JY, Lai WT, Lee SC, Li YH, Lin T, Liu HM, Tsai MC, Tsao HM, Tzong L, Ueng KC, Wang YL, Wang HC, Wang CP, Yang CC, Abaci F, Birdane A, Yilmaz MB, Asim Oktay AO, Kan G, Koldas N, Ozcan IT, Sahin M, Sahin T, Saka B, Tekten T, Ucar N, Uresin S, Yigit Z, Arif I, Bakhai A, Baksi A, Blagdon M, Brickman T, Brown N, Burton M, Burton J, Chaggar S, Chung A, Collier D, Covell W, Crawford G, Davies N, Davies M, Dayer M, Doughty A, Duff J, Dwenger E, Fisher J, Fitzpatrick L, Garner K, Glover J, Haughton G, Ilsley M, Ivan P, Voyzey EJ, Keenan S, Kelt T, Knight J, Kondagunta V, Lang C, Lee K, Lim L, Macdonald J, Mathew A, Mckenzie A, Mckibbin A, Michalska A, Pagett K, Pogson A, Price R, Price D, Procter K, Pye M, Redfearn H, Rewbury J, Ryding A, Sattar N, Sharp A, Shaw P, Simpson H, Smith W, Squire I, Storey R, Teenan M, Thomas H, Townend J, Trevelyan J, Wakeling J, Walukiewicz P, Wilkinson S, Zaman A, Acevedo L, Benton J, Abbate A, Aboufakher R, Acampora M, Acampora D, Aceto L, Acevedo B, Acheatel R, Adams M, Adams A, Ahmad I, Ahmed SH, Aish B, Akyea-Djamson A, Al Joundi T, Alcide P, Alfieri A, Alfonso T, Alfrey A, Allen J, Alllison DC, Almaliky T, Amos A, Angiolillo D, Antolick A, Ara M, Aragorn L, Arevalo S, Armas E, Arthur A, Asafu-Adjaye N, Ashcom T, Ashford M, Aslam A, Ather N, Atieh M, Aull L, Ayala M, Azizad M, Backer T, Baehl S, Bailey S, Bair S, Baker C, Ballmajo M, Pieretti HB, Baquero A, Barnett S, Baron S, Bartkowiak A, Bashir K, Beall K, Beauregard LA, Sarah S, Beckett L, Belejchak P, Bendelow T, Bender D, Benjamin S, Berdoff R, 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Lee J, Lee HN, Lee JH, Lee KR, Moon K, Park B, Park C, Tahk S, Yim KH, Yim S, Tase T, Andor M, Aron G, Badea C, Casoinic F, Clocotan M, Coman S, Emil B, Imre BS, Istratoaie O, Liviu C, Maximov D, Militaru C, Minescu B, Istvan KP, Parepa I, Petrescu L, Podoleanu C, Pop CF, Popa V, Popescu E, Radoi M, Sarbu I, Socoteanu E, Socoteanu G, Sorodoc L, Spiridon M, Stanciulescu G, Stefanescu M, Tanaseanu C, Tudoran M, Zdrenghea D, Agafina A, Akatova E, Avdonina N, Balukova E, Barbarash OL, Bartosh L, Boyarkin M, Bulashova O, Burova N, Churina S, Demidova M, Dorogova I, Dovgalevskiy Y, Dovgolis S, Dudarev M, Fitilev S, Gapon L, Gazizianova V, Gordeev I, Ivanov I, Izmozherova N, Kazanskay E, Khirmanov V, Khromtsova O, Konradi A, Kosmacheva E, Kozlova S, Kulibaba E, Kuzin A, Libov I, Lipchenko A, Lozhkina N, Malchikova S, Morozov E, Myslyaeva L, Onuchina E, Palatkina T, Panov A, Parmon E, Petelina T, Repin A, Reznik I, Sazonova E, Sergienko T, Shaposhnik I, Shapovalova Y, Shustov S, Shvarts Y, Skopets I, Skuratova M, Smolenskaya O, Solovev O, Trofimov V, Vasiliev M, Vezikova N, Vozzhaev A, Yakushin S, Zadionchenko V, Apostolovic S, Adjic NC, Ilic I, Ilic S, Nikolic L, Pupic L, Stokuca-Korac N, Antalik L, Bugan V, Csala L, Dokupilova A, Dzupina A, Forgon T, Fulop P, Gonsorcik J, Gyorgyova E, Holoubek D, Horvat P, Kamensky G, Kolikova V, Krupciakova B, Lenner E, Lennerova J, Lukac J, Majercak I, Mancikova I, Micko K, Nociar J, Pales J, Palka J Jr, Poliacik P, Ruffini L, Sabo L, Skubova K, Slanina M, Smik R, Srdos V, Stitova M, Stofkova D, Strbova J, Such S, Toth P, Urgeova L, Vinanska D, Zareczky P, Flezar M, Kovacic D, Marcun R, Zagozen P, Bolsmann C, Commerford P, Conradie C, Dawood SY, Decsi KL, Ebrahim I, Henley L, Horak A, Kapp I, Komati S, Lock E, Maboyi S, Makotoko E, Manga P, Page A, Ramdas S, Ranjith N, Roos J, Talliard C, Ajax K, Al-Khalili F, Assarsson E, Bergholtz T, Blom KB, Boman K, Boström PÅ, Curiac D, Jensen ED, Dahlen G, Davidsson K, Duckert A, Hansson A, Härstedt N, Henriksson A, Olsson GH, Johansson K, Jonsson JE, Knutsson A, Lindholm CJ, Liu B, Lönnberg I, Lundqvist M, Mellberg L, Moodh J, Mooe T, Olofsson M, Risenfors M, Rönndahl M, Sundelin R, Suorra I, Torgersruud M, Torstensson I, Chang KC, Chen CP, Chen ZC, Chen MH, Cheng SM, Cheng JJ, Fang CY, Ho CJ, Hsieh IC, Huang PH, Huang A, Hwang JJ, Kuo JY, Lai WT, Lee SC, Li YH, Lin T, Liu HM, Tsai MC, Tsao HM, Tzong L, Ueng KC, Wang YL, Wang HC, Wang CP, Yang CC, Abaci F, Birdane A, Yilmaz MB, Asim Oktay AO, Kan G, Koldas N, Ozcan IT, Sahin M, Sahin T, Saka B, Tekten T, Ucar N, Uresin S, Yigit Z, Arif I, Bakhai A, Baksi A, Blagdon M, Brickman T, Brown N, Burton M, Burton J, Chaggar S, Chung A, Collier D, Covell W, Crawford G, Davies N, Davies M, Dayer M, Doughty A, Duff J, Dwenger E, Fisher J, Fitzpatrick L, Garner K, Glover J, Haughton G, Ilsley M, Ivan P, Voyzey EJ, Keenan S, Kelt T, Knight J, Kondagunta V, Lang C, Lee K, Lim L, Macdonald J, Mathew A, Mckenzie A, Mckibbin A, Michalska A, Pagett K, Pogson A, Price R, Price D, Procter K, Pye M, Redfearn H, Rewbury J, Ryding A, Sattar N, Sharp A, Shaw P, Simpson H, Smith W, Squire I, Storey R, Teenan M, Thomas H, Townend J, Trevelyan J, Wakeling J, Walukiewicz P, Wilkinson S, Zaman A, Acevedo L, Benton J, Abbate A, Aboufakher R, Acampora M, Acampora D, Aceto L, Acevedo B, Acheatel R, Adams M, Adams A, Ahmad I, Ahmed SH, Aish B, Akyea-Djamson A, Al Joundi T, Alcide P, Alfieri A, Alfonso T, Alfrey A, Allen J, Alllison DC, Almaliky T, Amos A, Angiolillo D, Antolick A, Ara M, Aragorn L, Arevalo S, Armas E, Arthur A, Asafu-Adjaye N, Ashcom T, Ashford M, Aslam A, Ather N, Atieh M, Aull L, Ayala M, Azizad M, Backer T, Baehl S, Bailey S, Bair S, Baker C, Ballmajo M, Pieretti HB, Baquero A, Barnett S, Baron S, Bartkowiak A, Bashir K, Beall K, Beauregard LA, Sarah S, Beckett L, Belejchak P, Bendelow T, Bender D, Benjamin S, Berdoff R, Berger V, Bergeron P, Berk M, Bernstein M, Binns Y, Bitzer V, Blahey M, Bloch S, Bluemel J, Boffetti P, Boley K, Bonner J, Boudreaux R, Boulanger K, Bradley A, Bramlet D, Bredlau C, Briggs S, Brousalis L, Brown S, Brown C, Buchannan C, Burke W, Burley T, Burton C, Burtt D, Byars W, Caballero-Valiente B, Carr K, Halliwell TC, Castillo J, Cei L, Cerda L, Chambers J, Chamblee T, Chattin W, Chee L, Chen YC, Cherlin R, Cheung D, Chiodi L, Christensen L, Christenson S, Cislowski D, Clavier-Firmin C, Colfer H, Colvin T, Cosgrove N, Covert C, Cox B, Cox R, Craig W, Crandall L, Crepps K, Cromer M, Cruz H, Cruz H, Cruz M, Cucher F, Damron M, Dave K, Dave B, Davis M, Davis B, Dawkins-Hughes S, Dean J, Debnam S, Defosse C, Dehning M, Dela Llana A, Dellorso M, Denham D, Desalle D, Dettmer M, Dhawan M, Diago M, Dicken T, Diederich C, Diederich M, Diehl R, Digangi D, Diller P, Dimattia M, Dodds G, Doggett J, Donahue K, Doughty L, Dragutksy B, Dreese M, Dunhurst F, Dunn D, Dutka C, Earl J, Eaton C, Eaves W, Ebeling K, Eder F, Edgerton L, Edillo C, Edwards J, Edwards T, Einhorn D, El Hafi S, Ellis M, Erickson B, Ervin W, Eskridge L, Fail P, Falcon D, Fang C, Fattal P, Fawson A, Felix L, Ferdinand K, Fien E, Fintel D, Firek C, Fitz-Patrick D, Flores E, Flores E, Flores H, Floro T, Forker A, Foster M, Foucauld J, Lehman KF, Fox B, Francoeur L, Frandsen B, Frandsen B, Frivold G, Fruchter G, Fullerton D, Gabriel J, Gacioch G, Garas S, Garcia N, Garcia Rinaldi R, Garcia-Fragoso V, Garcia-Portela M, Gelb R, George F, Ghali J, Gilbert J, Gilley J, Glancy R, Goff R, Goldberg N, Gonzales D, Gonzales V, Gonzalez E, Gorges R, Gould R, Grabeau R, Grable M, Graham JA, Graif J, Green E, Greener R, Greenway F, Grieshaber V, Griffin S, Gros C, Gudipati RVC, Guillinta P, Gupta V, Gutmann J, Gwyn M, El Hachem M, Hage F, Hageman T, Haidar A, Hakas J, Haldis T, Hall L, Hall C, Hall S, Halpern S, Hamud-Socoro A, Hardee L, Harrell W, Harrington A, Hartwell J, Hasan F, Hattler B, Haught H, Haynes E, Haywood A, Heaney L, Hecht J, Hernandez I, Herzog W, Hess E, Hill H, Hilton T, Hinderaker P, Hodnett P, Hoffman M, Hogan C, Holmes Z, Rees DH, Hotchkiss D, Huang P, Humbert J, Hutchens E, Iachini K, Ibarra M, Igbokidi O, Ilahi T, Imbrognio M, Ipp E, Iteld B, Jacques G, Jafri A, Jafry B, Jardula M, Jefferson D, Jenkins R, Johnson E, Johnson J, Jones S, Kawahara M, Kelehan S, Kelly R, Kendall T, Kereiakes D, Khan M, Khan S, Kick J, Kimmel M, King T, King A, Kirkland S, Kissel S, Kitchens D, Klein P, Klugherz B, Korban E, Koren M, Korte M, Kostis J, Kotek L, Kozak M, Kreutter F, Kusnick B, Labovitz R, Lail J, Lamance J, Lamas G, Lambert J, Lambert C, Landzberg J, Langdon J, Lavoie W, Ledger G, Lee T, Lee K, Lehman R, Leimbach W, Lennard M, Lepor N, Lester F, Levin P, Levinson L, Lewis D, Lillo J, Link L, Long C, Longaker R, Lorch G, Lucksinger G, Lynd S, Rhudy JM, Madder R, Magness K, Maheshwari A, Alan A, Malek M, Maletz L, Malhotra V, Malhotra S, Mandviwala M, Mani CK, Manuel J, Marchelletta N, Marshall L, Marsters M, Martin L, Martinez E, Mavromatis K, Maynard R, Mays M, Mays B, Mbulaiteye A, Mcalister R, Mccoy C, Mccrary D Jr, Mccullough-O'Brien H, Mcdonald M, Mcgill J, Mcgrew F, Mckenzie C, Mclaurin B, Mclellan BA, Mcneil D, Mcneill R, Mehrle A, Melbie K, Melliza T, Messina T, Meyer R, Michel K, Mikdadi G, Miller C, Miller R, Miller A, Miller G, Miller W, Mitchell J, Moats DJR, Mody F, Moffat J, Molk B, Molter D, Monroe T, Montero H, Montgomery R, Mookherjee D, Moran J, Moriarty P, Morrison J, Morton D, Moshayedi P, Mosley J, Moustafa M, Munshi K, Murray A, Mustafa J, Nadar V, Naidu R, Nalley J, Navy S, Neil L, Neutel JM, Niblack P, Nicely V, Nicolai M, Nijmeh G, Nikas A, Nikyar A, Nixon S, Norman L, Noto G, Nour K, Nugent A, Ocman B, Odegard A, Olsen S, Ortiz-Carrasquillo R, Ossino N, Paez H, Palchick B, Paliwal Y, Pannell R, Parfait V, Partridge J, Patel B, Patel R, Patel M, Patel S, Paysor C, Pena A, Pereira S, Perez M, Perez A, Perkins H, Perry B, Peters P, Phillippi C, Phillips A, Phillips A, Piacente R, Pintado M, Pish R, Pitt W, Poling T, Pomposini D, Poock J, Potts J, Poudrier R, Prior J, Pritchard C, Purighalla R, Quddusi K, Quinones J, Quinton D, Radin M, Radojcsics B, Rajput B, Rama B, Ramos M, Rauch R, Raynes K, Reber AM, Reddy J, Reeves M, Reilly K, Renaud K, Resnick H, Reyes R, Richardson M, Riethof M, Riser J, Rodero M, Rodriguez Araya E, Roper L, Rozeman P, Ruder D, Runquist L, Sack G, Saint-Jacques H, Salfity M, Sall N, Sam K, Samal A, Sanchez D, Santiago J Jr, Savignano C, Saylor R, Scheffel M, Schifferdecker B, Schindler E, Schneider P, Schneider R, Schnitzler R, Schrager B, Schwartz A, Scott R, Seals A, Shah AV, Shah A, Shatsky K, Shayani S, Shealy N, Sheets L, Shelley J, Shepard P, Shetty S, Silver K, Simon M, Singh K, Singh N, Sizemore BC, Skatrud L, Slayton C, Slimak V, Sloane G, Smallwood B, Smith P, Smith M, Smith T, Smith G, Smith B, Smith W, Smith M, Smith J, Smith J, Soca Y, Sofley C, Sopko K, Sosa-Padilla M, Sotolongo R, Sprinkle B, Srivastava S, Starzec M, Steinhoff J, Stelly L, Stinson J, Stoddard M, Stoltz S, Stone B, Stover T, Strain J, Strugatsky S, Stys T, Suleman A, Sullivan P, Tamez W, Tandon N, Teltser M, Terry PS, Terry K, Tessmar C, Thekkoott D, Thomas D, Thomas DM, Thompson E, Thompson J, Thornton A, Tjaden T, Tobias C, Topper J, Tran A, Treasure C, Trenkamp P, Trevino M, Tsou L, Tuholske C, Uy W, Vahtel M, Vaid B, Valenzuela M, Vance A, Vandam J, Vanhecke T, Vanness WC III, Vargas R, Vaz S, Vazquez Tanus J, Veerina K, Vega J, Vento A, Vijay N, Voelker F, Vogt E, Vold D, Vora K, Wade RD, Wadell C, Waksman R, Walker K, Walker K, Wallace K, Warren M, Washam M, Watson B, Webel R, Wells T, West M, Whitaker J, White J, White C, White A, White A, Wilhoit G, Wilkins M, Willingham K, Wilson S, Wilson V, Wise J, Woodall S, Woods A, Wright J, Wu J, Xu ZJ, Yarows S, Young A, Younis L, Zarate J, Zebrack J, Zhang W, Zieve F, Zineldine A, Ridker, P. M., Everett, B. M., Thuren, T., Macfadyen, J. G., Chang, W. H., Ballantyne, C., FONSECA E PIRES, CARLOS EDUARDO, Nicolau, J., Koenig, W., Anker, S. D., Kastelein, J. J. P., Cornel, J. H., Pais, P., Pella, D., Genest, J., Cifkova, R., Lorenzatti, A., Forster, T., Kobalava, Z., Vida-Simiti, L., Flather, M., Shimokawa, H., Ogawa, H., Dellborg, M., Rossi, P. R. F., Troquay, R. P. T., Libby, P., Glynn R., J, CANTOS Trial, Group, Perrone, Filardi, P, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, ACS - Pulmonary hypertension & thrombosis, and ACS - Atherosclerosis & ischemic syndromes

Subjects
0301 basic medicine, 030204 cardiovascular system & hematology, law.invention, 0302 clinical medicine, c-reactive protein, Randomized controlled trial, law, Cardiovascular Disease, middle aged, double-blind method, antibodies, Myocardial infarction, humans, Stroke, interleukin-1beta, biology, Antibodies, Monoclonal, drug, General Medicine, Lipid, Aged, anti-inflammatory agents, monoclonal, humanized, atherosclerosis, cardiovascular diseases, dose-response relationship, female, incidence, infections, lipids, male, myocardial infarction, neutropenia, secondary prevention, stroke, Anti-Inflammatory Agent, aged, Editorial, Atherosclerosi, Monoclonal, Human, medicine.drug, medicine.medical_specialty, Neutropenia, Antibodies, Monoclonal, Humanized, Infections, Placebo, antibodies, monoclonal, dose-response relationship, drug, infection, medicine (all), 03 medical and health sciences, Internal medicine, medicine, Dose-Response Relationship, Drug, business.industry, Antiinflammatory Therapy, Canakinumab, for Atherosclerotic Disease, C-reactive protein, medicine.disease, Surgery, Canakinumab, 030104 developmental biology, biology.protein, business
Abstract

Background: Experimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. Methods: We conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. RESULTS: At 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in the 300-mg group than in the placebo group. Canakinumab did not reduce lipid levels from baseline. At a median follow-up of 3.7 years, the incidence rate for the primary end point was 4.50 events per 100 person-years in the placebo group, 4.11 events per 100 person-years in the 50-mg group, 3.86 events per 100 person-years in the 150-mg group, and 3.90 events per 100 person-years in the 300-mg group. The hazard ratios as compared with placebo were as follows: in the 50-mg group, 0.93 (95% confidence interval [CI], 0.80 to 1.07; P = 0.30); in the 150-mg group, 0.85 (95% CI, 0.74 to 0.98; P = 0.021); and in the 300-mg group, 0.86 (95% CI, 0.75 to 0.99; P = 0.031). The 150-mg dose, but not the other doses, met the prespecified multiplicity-adjusted threshold for statistical significance for the primary end point and the secondary end point that additionally included hospitalization for unstable angina that led to urgent revascularization (hazard ratio vs. placebo, 0.83; 95% CI, 0.73 to 0.95; P = 0.005). Canakinumab was associated with a higher incidence of fatal infection than was placebo. There was no significant difference in all-cause mortality (hazard ratio for all canakinumab doses vs. placebo, 0.94; 95% CI, 0.83 to 1.06; P = 0.31). Conclusions: Antiinflammatory therapy targeting the interleukin-1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid-level lowering. (Funded by Novartis; CANTOS ClinicalTrials.gov number, NCT01327846.)

Published
2017
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34. How to develop a national heart failure clinics network: a consensus document of the Hellenic Heart Failure Association

Author

Stamatios Adamopoulos, Ilias Sichlimiris, Eftychios Siniorakis, Dimitrios Chrysos, Michael Bonios, Nikolaos Kouvelas, Alexandra Frogoudaki, Konstantinos Kyrlas, Spyridon Maragkoudakis, Evangelos Pisimisis, Konstantina Toli, Georgios Katsimagklis, Ioannis Mantas, Charalampos Karvounis, Grigorios Oikonomou, Sotirios Floros, Georgios Kalogiannis, Niki Vlasopoulou, Eftratios Apostolou, Chrysoula Nikolaou, Anastasios Spanos, Kontantina Katsanou, Maria Thodi, Ioannis Paraskevaidis, John Parissis, Anastasios Theodosis‐Georgilas, Dimitrios Tziakas, Anastasia Kitsiou, George Hahalis, Eleni Karapatsoudi, Athanasios Anadiotis, Minas Pappas, Vassilios Giannaris, Angeliki Gkouziouta, Eftychia Chamodraka, Konstantinos Sassalos, E. Leontiadis, Konstantinos Tsitlakidis, Georgios Tsinopoulos, Katerina Avgeropoulou, Elefthereos Thireos, Vasiliki Bistola, Maria Marketou, Paraskevi Ntoliou, Peggy Kostakou, Theodoros G. Papaioannou, Georgios Spyropoulos, Konstantinos Polymeropoulos, Emmanouil Lamprogiannakis, Fragkiskos Parthenakis, Efstratios Theofilogiannakos, Vasiliki Panagopoulou, Sotirios Patsilinakos, Dimosthenis Drosos, Filippos Triposkiadis, Niki Mpaka, Costas H. Papadopoulos, Gregory Giamouzis, Christos Katsikas, Takis Xydas, Stauroula Kosmopoulou, Chris Adamopoulos, Georgios Papingiotis, Gerasimos Gavrielatos, Alexandros Douras, Petros Kikas, Alaa Ampoushamala, Stylianos Lampropoulos, Dimitrios Konstantinou, Elias Tsougos, Spyridon Papamentzelopoulos, Alexandros Katranis, John Christodoulou, Athanasios Manginas, Demitrios Karounis, Katerina K. Naka, Maria Nikolaou, Kalliopi Keramida, Vasiliki Matzaraki, Nikolaos Kampouridis, Lina Zitiridou, Evangelos Lazaris, Pavlos Stougiannos, Antonis Sideris, Soultana Bakaimi, Petros Voutas, Ioannis Kanonidis, Christina Chrysohoou, Ioannis Alexanian, Elias Andreanides, Spyridon Papaioannou, Ekaterini Lambrinou, Maria Sifaki, John Zarifis, Petros Stravopodis, Georgios Bakosis, Athanasios Kranidis, Panagiota Naoum, Athanasios Vasilopoulos, Ioannis Kogias, Constantinos Bakogiannis, Gerasimos Siasos, Evangelos Sdogkos, Apostolos Karavidas, Athanasios Trikas, Dimitrios Karatzas, Panagiotis Stafylas, Panagiotis Koudounis, Antonios Marsonis, Polixeni Brika, Nikolaos Karamichalakis, Georgios Almpanis, Konstantinos Tsioufis, Periklis Syros, Nikos Kouris, Elias Gialafos, Gerasimos Filippatos, Eleni Bousoula, Katerina Fountoulaki, Tsampikos Giakoumakis, Sotirios Xydonas, Dionysios Kalpakos, Metaxia Driva, Maria Georgopoulou, John Nanas, Vassilios Vassilikos, Georgios Spyromitros, George Giannakoulas, Ioannis Tsounos, Dimitrios Farmakis, Alexia Stavrati, Antonios Draganigos, Georgios Nikitas, Argyrios Ntalianis, Christoforos Olympios, and Maria Bonou

Subjects
Heart Failure, Heart failure clinics, lcsh:Diseases of the circulatory (Cardiovascular) system, medicine.medical_specialty, Consensus, business.industry, Association (object-oriented programming), Heart failure, Review, Electronic health care record, Multidisciplinary team, medicine.disease, Medical and Health Sciences, Heart failure network, Discharge letter, lcsh:RC666-701, Emergency medicine, medicine, Humans, Clinical Medicine, Cardiology and Cardiovascular Medicine, business
Abstract

Heart failure (HF) is rapidly growing, conferring considerable mortality, morbidity, and costs. Dedicated HF clinics improve patient outcomes, and the development of a national HF clinics network aims at addressing this need at national level. Such a network should respect the existing health care infrastructures, and according to the capacities of hosting facilities, it can be organized into three levels. Establishing the continuous communication and interaction among the components of the network is crucial, while supportive actions that can enhance its efficiency include involvement of multidisciplinary health care professionals, use of structured HF‐specific documents, such as discharge notes, patient information leaflets, and patient booklets, and implementation of an HF‐specific electronic health care record and database platform.

Published
2020

41. Clinical challenges in interpreting multiple pathogenic mutations in single patients.

Author

Slaught, Christa, Berry, Elizabeth G., Bacik, Lindsay, Skalet, Alison H., Anadiotis, George, Tuohy, Therese, and Leachman, Sancy A.

Subjects
HEREDITARY cancer syndromes, PATIENTS' families, CANCER susceptibility, GENETIC testing, GENES, DISEASE susceptibility
Abstract

Background: In the past two decades, genetic testing for cancer risk assessment has entered mainstream clinical practice due to the availability of low-cost panels of multiple cancer-associated genes. However, the clinical value of multiple-gene panels for cancer susceptibility is not well established, especially in cases where panel testing identifies more than one pathogenic variant. The risk for specific malignancies as a result of a mutated gene is complex and likely influenced by superimposed modifier variants and/or environmental effects. Recent data suggests that the combination of multiple pathogenic variants may be fewer than reported by chance, suggesting that some mutation combinations may be detrimental. Management of patients with "incidentally" discovered mutations can be particularly challenging, especially when established guidelines call for radical procedures (e.g. total gastrectomy in CDH1) in patients and families without a classic clinical history concerning for that cancer predisposition syndrome. Case presentation: We present two cases, one of an individual and one of a family, with multiple pathogenic mutations detected by multi-gene panel testing to highlight challenges practitioners face in counseling patients about pathogenic variants and determining preventive and therapeutic interventions. Conclusions: Ongoing investigation is needed to improve our understanding of inherited susceptibility to disease in general and cancer predisposition syndromes, as this information has the potential to lead to the development of more precise and patient-specific counseling and surveillance strategies. The real-world adoption of new or improved technologies into clinical practice frequently requires medical decision-making in the absence of established understanding of gene-gene interactions. In the meantime, practitioners must be prepared to apply a rationale based on currently available knowledge to clinical decision-making. Current practice is evolving to rely heavily on clinical concordance with personal and family history in making specific therapeutic decisions. [ABSTRACT FROM AUTHOR]

Published
2021
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42. An SDN-assisted Framework for Optimal Deployment of MapReduce Functions in WSNs

Author

Giacomo Morabito, Sergio Palazzo, and Angelos-Christos G. Anadiotis

Subjects
Computer Networks and Communications, Computer science, Distributed computing, Big data, Mobile computing, 02 engineering and technology, Network topology, Control theory, big data, 0202 electrical engineering, electronic engineering, information engineering, software defined networking, MapReduce, Electrical and Electronic Engineering, Protocol (object-oriented programming), Wireless sensor networks, software defined networking, big data, MapReduce, business.industry, Node (networking), 020206 networking & telecommunications, Wireless sensor networks, Sensor node, 020201 artificial intelligence & image processing, business, Software-defined networking, Wireless sensor network, Software, Computer network
Abstract

In this paper, we propose a solution to support big data processing with MapReduce inside a wireless sensor network (WSN). The proposed framework provides a simple MapReduce interface, whose implementation can be dynamically loaded into the appropriate nodes. The execution of map and reduce functions inside the network is achieved by leveraging software defined networking principles and in particular by enhancing the SDN-WISE protocol on both the Controller and the sensor node sides. On the Controller side, the proposed framework introduces a functionality, which evaluates the optimal deployment of the processing functions in the network taking the typical WSN requirements into account and enforces it by instructing the flow tables to forward traffic from the mappers to the appropriate reducers. Then, on the node side, SDN-WISE is integrated with Contiki, a widely popular operating system for sensor nodes, which has the capability to load and execute new functions without service disruption, i.e., on the fly . The proposed framework is evaluated considering different network topologies and approaches about the data processing location.

Published
2016

43. Towards a software-defined Network Operating System for the IoT

Author

Giacomo Morabito, Sebastiano Milardo, Sergio Palazzo, Laura Galluccio, and Angelos-Christos G. Anadiotis

Subjects
OpenFlow, IoT, business.industry, Wireless network, Computer science, Distributed computing, Software-defined networking, Network Operating System, computer.software_genre, Network operating system, Key distribution in wireless sensor networks, Operating system, Wireless, business, computer, Wireless sensor network, Heterogeneous network, Computer network
Abstract

The heterogeneity characterizing the Internet of Things (IoT) landscape can be addressed by leveraging network operating systems (NOS)s. Current NOS solutions have been developed for traditional infrastructured networks: they do not take the specific features of fundamental IoT components such as wireless sensor and actuator networks into account. Accordingly, in this paper an innovative integrated network operating system for the IoT which is obtained as the evolution of the Open Network Operating System (ONOS) is proposed. This has been appropriately extended to enhance the recently proposed SDN-WISE platform for supporting SDN in wireless sensor networks and let it interact with standard OpenFlow (OF) switches. The proposed integrated system has been prototyped.

Published
2015

45. The Adoption of Rights Expression Language in CONVERGENCE

Author

Leonardo Chiariglione, Thomas Huebner, Angelos Christos-Anadiotis, Giuseppe Tropea, Nicola Blefari Melazzi, Aziz S. Mousas, Helder Castro, Angelo Difino, and Giuseppe Bianchi

Subjects
Public key certificate, Actuarial science, business.industry, Computer science, computer.internet_protocol, Settore ING-INF/03 - Telecomunicazioni, ComputingMilieux_LEGALASPECTSOFCOMPUTING, Intellectual property, Computer security, computer.software_genre, Digital media, Rights Expression Language, Resource (project management), Open standard, business, computer, XML, Access structure
Abstract

This chapter describes CONVERGENCE’s licensing scheme and its governance, based on the MPEG-21 part 5 standard and on the specific content protection and rights management requirements, identified in the CONVERGENCE use scenarios. In the digital media value chain, Rights Expression Languages (RELs) are used to enable controlled access to digital resources, addressing several different issues from the description of licenses to access and usage control, payments, etc. A REL is an essential component of any security infrastructure supporting differentiated controlled access to digital resources, and providing adequate protection of intellectual property rights. Among these, the project has selected the MPEG-21 part 5 open standard, which can be implemented in XML, and is one of the main current contenders for a general-purpose REL. Our scheme is designed in the light of CONVERGENCE’s ability to distribute and manage any kind of digital resource in a large distributed environment, and this chapter explains how REL data is embedded into the CONVERGENCE data unit, the Versatile Digital Item (VDI) and introduces a basic set of security features, based on digital certificates, for the enforcement of the rights and conditions expressed in CONVERGENCE licenses.

Published
2014

47. Cerebrotendinous Xanthomatosis: A Treatable Disease with Juvenile Cataracts as a Presenting Sign

Author

George Anadiotis, Andrea E. DeBarber, Dinelli M. Monson, Charles J. Bock, Ann U. Stout, Robert D. Steiner, and Louise S. Merkens

Subjects
Diarrhea, Male, medicine.medical_specialty, Visual acuity, genetic structures, medicine.medical_treatment, Visual Acuity, Intraocular lens, Cataract Extraction, Chenodeoxycholic Acid, Cerebrotendinous Xanthomatosis, Article, Cataract, Cataracts, Lens Implantation, Intraocular, Ophthalmology, Medicine, Humans, Medical history, Child, Past medical history, business.industry, Xanthomatosis, Cerebrotendinous, Cataract surgery, medicine.disease, eye diseases, Surgery, Bilateral Cataracts, Cholestanol, Female, medicine.symptom, business
Abstract

Cerebrotendinous Xanthomatosis (CTX) is an autosomal recessive disorder of bile acid synthesis1. At least 50 different causative mutations have been identified in the CYP27A1 gene encoding for a sterol 27-hydroxylase important in bile acid synthesis2. Sterol 27-hydroxylase deficiency leads to 5α-cholestanol accumulation in the blood and tissues of affected patients1, including brain, often leading to severe neurological dysfunction that can incapacitate patients by the 4th–5th decade of life1. CTX generally presents clinically in the 2nd–3rd decade; childhood signs and symptoms can include chronic diarrhea, juvenile cataracts, school failure1,3, and potentially xanthomas1. Eighty-five percent of CTX patients develop cataracts of multiple types2, reported to occur as young as age 5–6 years1, with cataracts and chronic diarrhea commonly presenting before neurologic disease3. For this reason, and since diarrhea is non-specific, the clinician may not consider a diagnosis of CTX when cataracts are identified. Treatment for CTX is available in the form of chenodeoxycholic acid (CDCA)1,4. The FDA recently reapproved CDCA (Manchester Pharmaceuticals, Inc). As treatment of CTX from the preclinical stage prevents the onset of disease complications4, the value of early diagnosis for this disorder cannot be overstated. We describe two cases of CTX affected children enrolled in an IRB approved study at OHSU with bilateral cataracts as presenting signs of disease. Case 1 A 9 year old female was referred to an ophthalmologist for decreased vision over several months. Past ocular history was unremarkable; full ocular exam 2 years prior was normal. Family history was unremarkable. Past medical history was significant for diarrhea and nonverbal learning disorder. On examination uncorrected distance visual acuity was 20/80 and uncorrected near acuity was 20/50 in each eye. Manifest refraction was 0.75+0.50X90 in each eye, with corrected distance acuity of 20/60 in the right and 20/80 in the left. Complete dilated exam was remarkable for the presence of cataract in each eye and described as a diffuse nuclear haze on slit lamp examination, with mild posterior capsular opacification (figure 1). Retroillumination highlighted posterior capsular findings (figure 2). Sequential bilateral cataract surgery with intraocular lens placement resulted in a corrected visual acuity of 20/20 in each eye. A metabolic workup indicated plasma 5α-cholestanol was markedly elevated at 3.7 mg/dl (normal < 0.2 mg/dl1), suggestive of CTX. Urine testing confirmed CTX with elevated bile alcohol glucuronides present (30.1 μg/ml). CDCA treatment was initiated and diarrhea resolved within one month, with accompanying weight gain. Plasma cholestanol dropped to 0.5 mg/dl within 7 months and after 6 years of treatment is currently stable at

Published
2011

48. Designing and experimenting a hybrid social network made up of people, agents and sensors

Author

Angelos-Christos G. Anadiotis, Nicola Blefari-Melazzi, Paolo Santi, and Charalampos Z. Patrikakis

Subjects
020203 distributed computing, Wireless Networks, Social network, business.industry, Computer science, Settore ING-INF/03 - Telecomunicazioni, media_common.quotation_subject, Mobile computing, 02 engineering and technology, Presentation, Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, The Internet, Mobile telephony, business, media_common
Abstract

The contribution of this position paper is twofold: the first one extends the use of social networking in the direction of allowing not only communications among persons but also human- machine interaction and machine to machine collaboration; the second contribution is the presentation of an experimental platform for large-scale testing of innovative mobile social networking applications, including the one described in the first part of the paper.

Published
2011

49. Adenosine magnetic resonance imaging versus dobutamine stress echocardiography in patients with low probability for coronary artery disease

Author

Irfan Shukrullah, Stamatios Lerakis, Elisa Zaragoza-Macias, Akbar Khan, Paolo Raggi, Arthur E. Stillman, Emir Veledar, Chris Vaccari, Athanasios V. Anadiotis, John N. Oshinski, and Puneet Sharma

Subjects
Chest Pain, medicine.medical_specialty, lcsh:Diseases of the circulatory (Cardiovascular) system, Population, Ischemia, Coronary Artery Disease, Chest pain, Coronary artery disease, Internal medicine, medicine, Baseline Characteristic, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, education, Angiology, Medicine(all), education.field_of_study, Aspirin, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, medicine.disease, Adenosine, lcsh:RC666-701, Cardiology, Oral Presentation, Radiology, medicine.symptom, Cardiology and Cardiovascular Medicine, business, human activities, medicine.drug
Abstract

Accurate assessment of patients with chest pain without electrocardiographic changes or elevation of serum cardiac enzymes is challenging. There is increased interest in the role of dobutamine stress echocardiography (DSE) and adenosine magnetic resonance imaging (AMRI) performed in the chest pain unit as a diagnostic method to rule out Coronary Artery Disease (CAD) as the cause of the chest pain in this population.

Published
2009

50. Climatological variations in daily hospital admissions for acute coronary syndromes

Author

Panagiotakos, DB Chrysohoou, C Pitsavos, C Nastos, P and Anadiotis, A Tentolouris, C Stefanadis, C Toutouzas, P and Paliatsos, A

Abstract

Objective: We examined the association between climatologic parameters and daily admissions for non-fatal acute coronary syndromes (ACS) to emergency units of hospitals in the greater Athens area, from January 2001 to August 2002. Methods: Daily mean, maximum and minimum temperatures, relative humidity, wind speed, barometric pressure and a thermo-hydrological index (T.H.I.) were measured at the meteorological station of the Laboratory of Climatology of the Geology Department of the University of Athens. In addition, the daily number of admissions for acute myocardial infarction or unstable angina in the five major general hospitals in the greater Athens area was recorded. Generalized additive models (GAM) were applied to regress-time-series of daily numbers of outpatients with acute cardiac events against climatological variations, after controlling for possible confounders and adjustment for over dispersion and serial correlation. Results: Five thousand four hundred fifty-eight Athenians with non-fatal acute cardiac events were admitted to the selected hospitals during the period of the study, 4093 (75%) males and 1365 (25%) females. There was a negative correlation between hospital admissions and mean daily temperature (MDT) with a I degreesC decrease in mean air temperature yielding a 5% increase in hospital admissions (P

Published
2004

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