79 research outputs found

    Chronic Kidney Disease Cohort Studies: A Guide to Metabolome Analyses

    No full text
    Kidney diseases still pose one of the biggest challenges for global health, and their heterogeneity and often high comorbidity load seriously hinders the unraveling of their underlying pathomechanisms and the delivery of optimal patient care. Metabolomics, the quantitative study of small organic compounds, called metabolites, in a biological specimen, is gaining more and more importance in nephrology research. Conducting a metabolomics study in human kidney disease cohorts, however, requires thorough knowledge about the key workflow steps: study planning, sample collection, metabolomics data acquisition and preprocessing, statistical/bioinformatics data analysis, and results interpretation within a biomedical context. This review provides a guide for future metabolomics studies in human kidney disease cohorts. We will offer an overview of important a priori considerations for metabolomics cohort studies, available analytical as well as statistical/bioinformatics data analysis techniques, and subsequent interpretation of metabolic findings. We will further point out potential research questions for metabolomics studies in the context of kidney diseases and summarize the main results and data availability of important studies already conducted in this field

    Er hat seine Handschuhe vergessen! : Schwank in einem Act /

    No full text
    "Nach dem Französischen."Author identity verified in Kosch. Deutsches Literatur Lexikon, 2. ed., v. 4, p. 2809.Mode of access: Internet

    Interactive exploration of adverse events and multimorbidity in CKD

    No full text
    Abstract Background and hypothesis Persons with chronic kidney disease (CKD) are at increased risk of adverse events, early mortality, and multimorbidity. A detailed overview of adverse event types and rates from a large CKD cohort under regular nephrological care is missing. We generated an interactive tool to enable exploration of adverse events and their combinations in the prospective, observational German CKD (GCKD) study. Methods The GCKD study enrolled 5217 participants under regular nephrological care with an estimated glomerular filtration rate of 30–60 or >60 mL/min/1.73m2 and an overt proteinuria. Cardio-, cerebro- and peripheral vascular, kidney, infection, and cancer events, as well as deaths were adjudicated following a standard operation procedure. We summarized these time-to-event data points for exploration in interactive graphs within an R shiny app. Multivariable adjusted Cox models for time to first event were fitted. Cumulative incidence functions, Kaplan-Meier curves and intersection plots were used to display main adverse events and their combinations by sex and CKD etiology. Results Over a median of 6.5 years, 10 271 events occurred in total and 680 participants (13.0%) died while 2947 participants (56.5%) experienced any event. The new publicly available interactive platform enables readers to scrutinize adverse events and their combinations as well as mortality trends as a gateway to better understand multimorbidity in CKD: incident rates per 1000 patient-years varied by event type, CKD etiology, and baseline characteristics. Incidence rates for the most frequent events and their recurrence were 113.6 (cardiovascular), 75.0 (kidney), and 66.0 (infection). Participants with diabetic kidney disease and men were more prone to experiencing events. Conclusion This comprehensive explorative tool to visualize adverse events (https://gckd.diz.uk-erlangen.de/), their combination, mortality, and multimorbidity among persons with CKD may manifest as a valuable resource for patient care, identification of high-risk groups, health services, and public health policy planning

    Expectation of clinical decision support systems: a survey study among nephrologist end-users

    No full text
    Abstract Background Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality. Monitoring disease progression and personalized treatment efforts are crucial for long-term patient outcomes. Physicians need to integrate different data levels, e.g., clinical parameters, biomarkers, and drug information, with medical knowledge. Clinical decision support systems (CDSS) can tackle these issues and improve patient management. Knowledge about the awareness and implementation of CDSS in Germany within the field of nephrology is scarce. Purpose Nephrologists’ attitude towards any CDSS and potential CDSS features of interest, like adverse event prediction algorithms, is important for a successful implementation. This survey investigates nephrologists’ experiences with and expectations towards a useful CDSS for daily medical routine in the outpatient setting. Methods The 38-item questionnaire survey was conducted either by telephone or as a do-it-yourself online interview amongst nephrologists across all of Germany. Answers were collected and analysed using the Electronic Data Capture System REDCap, as well as Stata SE 15.1, and Excel. The survey consisted of four modules: experiences with CDSS (M1), expectations towards a helpful CDSS (M2), evaluation of adverse event prediction algorithms (M3), and ethical aspects of CDSS (M4). Descriptive statistical analyses of all questions were conducted. Results The study population comprised 54 physicians, with a response rate of about 80–100% per question. Most participants were aged between 51–60 years (45.1%), 64% were male, and most participants had been working in nephrology out-patient clinics for a median of 10.5 years. Overall, CDSS use was poor (81.2%), often due to lack of knowledge about existing CDSS. Most participants (79%) believed CDSS to be helpful in the management of CKD patients with a high willingness to try out a CDSS. Of all adverse event prediction algorithms, prediction of CKD progression (97.8%) and in-silico simulations of disease progression when changing, e. g., lifestyle or medication (97.7%) were rated most important. The spectrum of answers on ethical aspects of CDSS was diverse. Conclusion This survey provides insights into experience with and expectations of out-patient nephrologists on CDSS. Despite the current lack of knowledge on CDSS, the willingness to integrate CDSS into daily patient care, and the need for adverse event prediction algorithms was high

    \u27I would have Preferred an Ankle Tag\u27: The Lived Experience of a Nationwide Quarantine App

    No full text
    Due to recent technological advancements, governments can exercise an unprecedented amount of power over their citizens. It is vital to understand how governments impose restrictions on citizens through digital technologies, especially if those restrictions can save lives. Here, we look at the case of Home Quarantine - a Polish government-mandated smartphone application whose use has become mandatory during the COVID-19 crisis. Users in quarantine are legally required to use the application, reporting location and take selfie photographs. We conducted an autoethnographic diary study of one author using the app during quarantine and interviews with 23 users. We found that the app assisted in creating quarantine life routines and affected social interactions. Users connected with the world outside quarantine through selfies. We also uncovered key reservations our users had about using this app. Our work broadens the understanding of location-based apps and practices around surveillance technologies

    Understanding the Influence of Electrical Muscle Stimulation on Motor Learning: Enhancing Motor Learning or Disrupting Natural Progression?

    No full text
    Publisher Copyright: © 2025 Copyright held by the owner/author(s).Electrical Muscle Stimulation (EMS) induces muscle movement through external currents, offering a novel approach to motor learning. Researchers investigated using EMS as an alternative to conventional non-movement-inducing feedback techniques, such as vibrotactile and electrotactile feedback. While EMS shows promise in areas such as dance, sports, and motor skill acquisition, neurophysiological models of motor learning conflict about the impact of externally induced movements on sensorimotor representations. This study evaluated EMS against electrotactile feedback and a control condition in a two-session experiment assessing fast learning, consolidation, and learning transfer. Our results suggest an overall positive impact of EMS in motor learning. Although traditional electrotactile feedback had a higher learning rate, EMS increased the learning plateau, as measured by a three-factor exponential decay model. This study provides empirical evidence supporting EMS as a plausible method for motor augmentation and skill transfer, contributing to understanding its role in motor learning.Peer reviewe

    The placebo effect of human augmentation : Anticipating cognitive augmentation increases risk-taking behavior

    No full text
    Funding Information: This work was partly funded by the European Research Council (ERC AMPLIFY, no. 683008), and the Federal Ministry of Education and Research of Germany (BMBF Hive, no. 16SV8183). The German Psychological Society (DGPs) and the local institutional ethics board provided ethical approval for the study: Ethical assessment ID: EK-MIS-2020-023.Human Augmentation Technologies improve human capabilities using technology. In this study, we investigate the placebo effect of Augmentation Technologies. Thirty naïve participants were told to be augmented with a cognitive augmentation technology or no augmentation system while conducting a Columbia Card Task. In this risk-taking measure, participants flip win and loss cards. The sham augmentation system consisted of a brain–computer interface allegedly coordinated to play non-audible sounds that increase cognitive functions. However, no sounds were played throughout all conditions. We show a placebo effect in human augmentation, where a sustained belief of improvement remains after using the sham system and an increase in risk-taking conditional on heightened expectancy using Bayesian statistical modeling. Furthermore, we identify differences in event-related potentials in the electroencephalogram that occur during the sham condition when flipping loss cards. Finally, we integrate our findings into theories of human augmentation and discuss implications for the future assessment of augmentation technologies.Peer reviewe

    Transylvania

    No full text
    Title: Erdély. Kultúrtörténeti vázlat (Transylvania. A sketch of cultural history) Originally published: Kolozsvár – Cluj, Erdélyi Szépműves Céh, 1929 Language: Hungarian The excerpts used are from the original: Introduction, Conclusion, pp. 5, 7, 87–88. About the author Károly Kós [original name Kosch] [1883, Temesvár (Rom. Timişoara, presentday Romania) – 1977, Cluj-Napoca (Ger. Klausenburg, Hun. Kolozsvár, present-day Romania)]: architect, designer, ethnographer, editor and writer. He was ..
    corecore