For some well-known pathogens like influenza or RSV, diagnostic and epidemiological data is available and continuously complement each other. For most other pathogens however, data is not always available or severely delayed. Furthermore, clinical data is needed to assess the burden of disease, which will enhance awareness and help to gain knowledge on emerging pathogens. In this position paper, we discuss the interdependence of diagnostics and epidemiology from a European perspective. In 2004, the European Centre for Disease Prevention and Control (ECDC) was founded to coordinate European wide surveillance and control. At present however, the ECDC still relies on university hospitals, public health institutions and other diagnostic institutions. Close collaboration between all stakeholders across Europe is therefore complex, but necessary to optimize the system for the individual patient. From the diagnostic side, data on detected pathogens should be shared with relevant health institutions in real-time. From the public health side, collected information should be made accessible for diagnostic and clinical institutions in real-time. Subsequently, this information needs to be disseminated across relevant medical disciplines to reach its full potential.
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http://dx.doi.org/10.1016/j.jcv.2019.07.002 | DOI Listing |
Psychooncology
January 2025
Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Objective: Malignant brain tumors are associated with debilitating symptoms and a poor prognosis, resulting in high psychological distress for patients and caregivers. There is a lack of longitudinal studies investigating psychological distress in this group. This study evaluated fear of progression (FoP), anxiety and depression in patients and their caregivers in the 6 months following malignant brain tumor diagnosis.
View Article and Find Full Text PDFPhysiol Meas
January 2025
Academy of Military Science of the People's Liberation Army, Beijing, 100073, CHINA.
Objective: Humanity faces many health challenges, among which respiratory diseases are one of the leading causes of human death. Existing AI-driven pre-diagnosis approaches can enhance the efficiency of diagnosis but still face challenges. For example, single-modal data suffer from information redundancy or loss, difficulty in learning relationships between features, and revealing the obscure characteristics of complex diseases.
View Article and Find Full Text PDFBMC Palliat Care
January 2025
School of Medicine, University of Dundee, Dundee, UK.
Background: Discussing Advance Care Planning (ACP) with people living with dementia (PwD) is challenging due to topic sensitivity, fluctuating mental capacity and symptom of forgetfulness. Given communication difficulties, the preferences and expectations expressed in any ACP may reflect family and healthcare professional perspectives rather than the PwD. Starting discussions early in the disease trajectory may avoid this, but many PwD may not be ready at this point for such discussions.
View Article and Find Full Text PDFJ Magn Reson Imaging
December 2024
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Background: In arrhythmogenic cardiomyopathy (ACM), left ventricle-dominant presentation has poorer outcomes than right-dominant presentation, suggesting that interventricular functional disparity might play a role in patients' prognosis. However, the prognostic impact of ventricular functional discordance in ACM patients remains unknown.
Purpose: To assess whether ventricular functional disparity measured as ventricular discordance index, defined as the ratio of right-ventricular ejection fraction (RVEF) to left-ventricular ejection fraction (LVEF), might reveal prognostic disparities between phenotypes and offer added risk stratification value.
Ann Clin Epidemiol
October 2024
Center of Medical Statistics, Minato-Ku, Tokyo, Japan.
Background: Large electronic databases have been widely used in recent years; however, they can be susceptible to bias due to incomplete information. To address this, validation studies have been conducted to assess the accuracy of disease diagnoses defined in databases. However, such studies may be constrained by potential misclassification in references and the interdependence between diagnoses from the same data source.
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