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      International Journal of COPD (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on pathophysiological processes underlying Chronic Obstructive Pulmonary Disease (COPD) interventions, patient focused education, and self-management protocols. Sign up for email alerts here.

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      Prevalence of cardiac comorbidities, and their underdetection and contribution to exertional symptoms in COPD: results from the COSYCONET cohort

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          Abstract

          Background

          A substantial prevalence of cardiovascular disease is known for COPD, but detection of its presence, relationship to functional findings and contribution to symptoms remains challenging. The present analysis focusses on the cardiovascular contribution to COPD symptoms and their relationship to the patients’ diagnostic status, medication and echocardiographic findings.

          Methods

          Patients from the COPD cohort COSYCONET with data on lung function, including FEV 1, residual volume/total lung capacity (RV/TLC) ratio, diffusing capacity TLCO, and echocardiographic data on left ventricular ejection fraction (LVEF) and end-diastolic diameter (LVEDD), medical history, medication, modified British Medical Research Council dyspnea scale (mMRC) and Saint Georges Respiratory Questionnaire (SGRQ) were analyzed.

          Results

          A total of 1591 patients (GOLD 0–4: n=230/126/614/498/123) fulfilled the inclusion criteria. Ischemic heart disease, myocardial infarction or heart failure were reported in 289 patients (18.2%); 860 patients (54%) received at least one cardiovascular medication, with more than one in many patients. LVEF<50% or LVEDD>56 mm was found in 204 patients (12.8%), of whom 74 (36.3%) had neither a cardiovascular history nor medication. Among 948 patients (59.6%) without isolated hypertension, there were 21/55 (38.2%) patients with LVEF<50% and 47/88 (53.4%) with LVEDD>56 mm, who lacked both a cardiac diagnosis and medication. LVEDD and LVEF were linked to medical history; LVEDD was dependent on RV/TLC and LVEF on FEV 1. Exertional COPD symptoms were best described by mMRC and the SGRQ activity score. Beyond lung function, an independent link from LVEDD on symptoms was revealed.

          Conclusion

          A remarkable proportion of patients with suspicious echocardiographic findings were undiagnosed and untreated, implying an increased risk for an unfavorable prognosis. Cardiac size and function were dependent on lung function and only partially linked to cardiovascular history. Although the contribution of LV size to COPD symptoms was small compared to lung function, it was detectable irrespective of all other influencing factors. However, only the mMRC and SGRQ activity component were found to be suitable for this purpose.

          Most cited references31

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          eulerAPE: Drawing Area-Proportional 3-Venn Diagrams Using Ellipses

          Venn diagrams with three curves are used extensively in various medical and scientific disciplines to visualize relationships between data sets and facilitate data analysis. The area of the regions formed by the overlapping curves is often directly proportional to the cardinality of the depicted set relation or any other related quantitative data. Drawing these diagrams manually is difficult and current automatic drawing methods do not always produce appropriate diagrams. Most methods depict the data sets as circles, as they perceptually pop out as complete distinct objects due to their smoothness and regularity. However, circles cannot draw accurate diagrams for most 3-set data and so the generated diagrams often have misleading region areas. Other methods use polygons to draw accurate diagrams. However, polygons are non-smooth and non-symmetric, so the curves are not easily distinguishable and the diagrams are difficult to comprehend. Ellipses are more flexible than circles and are similarly smooth, but none of the current automatic drawing methods use ellipses. We present eulerAPE as the first method and software that uses ellipses for automatically drawing accurate area-proportional Venn diagrams for 3-set data. We describe the drawing method adopted by eulerAPE and we discuss our evaluation of the effectiveness of eulerAPE and ellipses for drawing random 3-set data. We compare eulerAPE and various other methods that are currently available and we discuss differences between their generated diagrams in terms of accuracy and ease of understanding for real world data.
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            The significance of respiratory symptoms and the diagnosis of chronic bronchitis in a working population.

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              John LIZARS. Centenary of a forgotten pioneer of the surgery of trigeminal neuralgia.

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                Author and article information

                Journal
                Int J Chron Obstruct Pulmon Dis
                Int J Chron Obstruct Pulmon Dis
                COPD
                copd
                International Journal of Chronic Obstructive Pulmonary Disease
                Dove
                1176-9106
                1178-2005
                20 September 2019
                2019
                : 14
                : 2163-2172
                Affiliations
                [1 ]Department of Medicine, Pulmonary and Critical Care Medicine, Philipps University of Marburg (UMR), Member of the German Center for Lung Research (DZL) , Marburg, Germany
                [2 ]Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the Center for Lung Research (DZL) , Munich, Germany
                [3 ]Department of Internal Medicine V, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL) , Munich, Germany
                [4 ]Pulmonary Research Institute at Lungen Clinic Grosshansdorf, Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL) , Grosshansdorf, Germany
                [5 ]Department of Pneumology, LungenClinic Grosshansdorf, Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL) , Grosshansdorf, Germany
                [6 ]Department of General and Interventional Cardiology, University Heart Center , Hamburg, Germany
                [7 ]Department of Cardiology and Pneumology, University Medical Center , Goettingen, Germany
                [8 ]Lung Clinic , Immenhausen, Germany
                [9 ]Institute for Biostatistics, Center for Biometry, Medical Informatics and Medical Technology, Hannover Medical School , Hannover, Germany
                [10 ]Department of Internal Medicine V - Pulmonology, Allergology, Intensive Care Medicine, Saarland University Hospital , Homburg, Germany
                Author notes
                Correspondence: Peter AlterDepartment of Medicine, Pulmonary and Critical Care Medicine, Philipps University of Marburg (UMR), Member of the German Center for Lung Research (DZL) , Baldingerstrasse 1, Marburg35033, GermanyTel +49 6 421 586 6140Email Alter@uni-marburg.de 
                Rudolf A JörresInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the Center for Lung Research (DZL) , Ziemssenstrasse 1, Munich80336, GermanyTel +49 8 944 005 2466Email Rudolf.Joerres@med.uni-muenchen.de 
                Author information
                http://orcid.org/0000-0002-2115-1743
                http://orcid.org/0000-0001-6359-3147
                http://orcid.org/0000-0002-1070-3661
                http://orcid.org/0000-0003-3918-6909
                http://orcid.org/0000-0003-0686-6123
                http://orcid.org/0000-0002-9782-1117
                Article
                209343
                10.2147/COPD.S209343
                6759215
                31571852
                79344270-a361-4cbb-8370-30a75e725b8b
                © 2019 Alter et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 19 March 2019
                : 10 July 2019
                Page count
                Figures: 4, Tables: 1, References: 44, Pages: 10
                Categories
                Original Research

                Respiratory medicine
                copd,heart failure,echocardiography,medication,dyspnea,symptoms
                Respiratory medicine
                copd, heart failure, echocardiography, medication, dyspnea, symptoms

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