39 research outputs found
Analysis and applications of respiratory surface EMG:report of a round table meeting
Surface electromyography (sEMG) can be used to measure the electrical activity of the respiratory muscles. The possible applications of sEMG span from patients suffering from acute respiratory failure to patients receiving chronic home mechanical ventilation, to evaluate muscle function, titrate ventilatory support and guide treatment. However, sEMG is mainly used as a monitoring tool for research and its use in clinical practice is still limited-in part due to a lack of standardization and transparent reporting. During this round table meeting, recommendations on data acquisition, processing, interpretation, and potential clinical applications of respiratory sEMG were discussed. This paper informs the clinical researcher interested in respiratory muscle monitoring about the current state of the art on sEMG, knowledge gaps and potential future applications for patients with respiratory failure.</p
Analysis and applications of respiratory surface EMG:report of a round table meeting
Surface electromyography (sEMG) can be used to measure the electrical activity of the respiratory muscles. The possible applications of sEMG span from patients suffering from acute respiratory failure to patients receiving chronic home mechanical ventilation, to evaluate muscle function, titrate ventilatory support and guide treatment. However, sEMG is mainly used as a monitoring tool for research and its use in clinical practice is still limited-in part due to a lack of standardization and transparent reporting. During this round table meeting, recommendations on data acquisition, processing, interpretation, and potential clinical applications of respiratory sEMG were discussed. This paper informs the clinical researcher interested in respiratory muscle monitoring about the current state of the art on sEMG, knowledge gaps and potential future applications for patients with respiratory failure.</p
Autoantibodies targeting GPCRs and RAS-related molecules associate with COVID-19 severity
COVID-19 shares the feature of autoantibody production with systemic autoimmune diseases. In order to understand the role of these immune globulins in the pathogenesis of the disease, it is important to explore the autoantibody spectra. Here we show, by a cross-sectional study of 246 individuals, that autoantibodies targeting G protein-coupled receptors (GPCR) and RAS-related molecules associate with the clinical severity of COVID-19. Patients with moderate and severe disease are characterized by higher autoantibody levels than healthy controls and those with mild COVID-19 disease. Among the anti-GPCR autoantibodies, machine learning classification identifies the chemokine receptor CXCR3 and the RAS-related molecule AGTR1 as targets for antibodies with the strongest association to disease severity. Besides antibody levels, autoantibody network signatures are also changing in patients with intermediate or high disease severity. Although our current and previous studies identify anti-GPCR antibodies as natural components of human biology, their production is deregulated in COVID-19 and their level and pattern alterations might predict COVID-19 disease severity
Ergebnisse der periduralen Injektion beim lumbalen Bandscheibenvorfall und bei lumbaler Spinalkanalkanalstenose - eine Vergleichsstudie
Therapy satisfaction and health literacy are key factors to improve medication adherence in systemic sclerosis
Although medication adherence (MA) contributes to therapeutic outcome in systemic sclerosis (SSc), research data are scarce. Factors influencing MA in SSc are hardly known. We conducted a monocentric, cross-sectional study on 85 patients with SSc at the University of Lübeck, Germany, using the Compliance Questionnaire of Rheumatology as the main measurement tool of MA. We also used the Scleroderma Health Assessment Questionnaire, Illness Perception Questionnaire – Revised, Health Literacy Questionnaire, Lübeck Medication Satisfaction Questionnaire (a novel instrument created for this study), and patients’ demographic and clinical data, to find factors contributing to MA. Good MA was seen in 51.8% of patients. MA was positively associated with therapy satisfaction (p Although most SSc patients display good MA, non-adherence remains a major problem. Patients should be assessed for non-adherence. The factors affecting MA identified herein could help to improve therapeutic outcomes.</p