Vasoactive Intestinal Peptide for Diagnosing Exacerbation in Chronic Obstructive Pulmonary Disease

Vasoactive intestinal peptide (VIP) is the most abundant neuropeptide in the lung. VIP has been linked to pulmonary arterial hypertension and hypoxia.; We aimed to assess circulating VIP levels at exacerbation and at stable chronic obstructive pulmonary disease (COPD) and to evaluate the diagnostic performance in a well-characterized cohort of COPD patients.; The nested cohort study included patients with Global Initiative for Chronic Obstructive Lung Disease stage II-IV. Patients were examined at stable state and at acute exacerbation of COPD (AE-COPD), and dedicated serum was collected at both conditions. Serum VIP levels were determined by enzyme-linked immunosorbent assay. Diagnostic accuracy was analyzed by receiver operating characteristic curve and area under the curve (AUC).; Patients with acute exacerbation (n = 120) and stable COPD (n = 163) had similar characteristics at baseline. Serum VIP levels did not correlate with oxygen saturation at rest (p = 0.722) or at exercise (p = 0.168). Serum VIP levels were significantly higher at AE-COPD (130.25 pg/ml, 95% CI 112.19-151.83) as compared to stable COPD (40.07 pg/ml, 95% CI 37.13-43.96, p < 0.001). The association of increased serum VIP with AE-COPD remained significant after propensity score matching (p < 0.001). Analysis of the Youden index indicated the optimal serum VIP cutoff value as 56.6 pg/ml. The probability of AE-COPD was very low if serum VIP was ≤35 pg/ml (sensitivity >90%) and very high if serum VIP was ≥88 pg/ml (specificity >90%). Serum VIP levels presented a robust performance to diagnose AE-COPD (AUC 0.849, 95% CI 0.779-0.899).; Increased serum VIP levels are associated with AE-COPD

Segregation of Dispersed Silica Nanoparticles in Microfluidic Water‐in‐Oil Droplets: A Kinetic Study

Dispersed negatively charged silica nanoparticles segregate inside microfluidic water-in-oil (W/O) droplets that are coated with a positively charged lipid shell. We report a methodology for the quantitative analysis of this self-assembly process. By using real-time fluorescence microscopy and automated analysis of the recorded images, kinetic data are obtained that characterize the electrostatically-driven self-assembly. We demonstrate that the segregation rates can be controlled by the installment of functional moieties on the nanoparticle’s surface, such as nucleic acid and protein molecules. We anticipate that our method enables the quantitative and systematic investigation of the segregation of (bio)functionalized nanoparticles in microfluidic droplets. This could lead to complex supramolecular architectures on the inner surface of micrometer-sized hollow spheres, which might be used, for example, as cell containers for applications in the life sciences

BeadNet: Deep learning-based bead detection and counting in low-resolution microscopy images

Motivation An automated counting of beads is required for many high-throughput experiments such as studying mimicked bacterial invasion processes. However, state-of-the-art algorithms under- or overestimate the number of beads in low-resolution images. In addition, expert knowledge is needed to adjust parameters. Results In combination with our image labeling tool, BeadNet enables biologists to easily annotate and process their data reducing the expertise required in many existing image analysis pipelines. BeadNet outperforms state-of-the-art-algorithms in terms of missing, added and total amount of beads. Availability and implementation BeadNet (software, code and dataset) is available at https://bitbucket.org/t_scherr/beadnet. The image labeling tool is available at https://bitbucket.org/abartschat/imagelabelingtool

Helper Syndrome and Pathological Altruism in nurses – a study in times of the COVID-19 pandemic

BackgroundPathological Altruism and the concept of Helper Syndrome are comparable. We focused on Schmidbauer’s description because it provides a comprehensive and testable definition. Nevertheless, this concept of Helper Syndrome has not yet been empirically investigated in a sample of helping professionals.AimTo investigate whether nurses working with covid-19 patients are more likely to have Helper Syndrome compared with individuals from non-helper professions.MethodsThe online survey took place between April 2021 and February 2022, in urban and rural regions of Salzburg, during the time of the COVID-19 pandemic. Nurses (n = 447) and controls (n = 295) were compared regarding Helper Syndrome characteristics. To measure characteristics of Helper Syndrome the following questionnaires were used: WHO-Five (WHO-5), selected scales of the Personality, Style and Disorder Inventory (PSSI) and the Freiburg Personality Inventory-Revised (FPI-R), the Alcohol Use Disorders Identification Test (AUDIT). Insecure gender identity and self-assessment of having a Helper Syndrome was measured by a Likert scale.ResultsIn both groups, Helper Syndrome was detected (nurses 29.5%, controls 30.5%). Participants with Helper Syndrome showed significant differences in personality styles and traits, namely significantly higher scores for Foreboding-Schizotypical Personality Style, Spontaneous-Borderline Personality Style, Amiable-Histrionic Personality Style, Ambitious-Narcissistic Personality Style, Loyal-Dependent Personality Style, Helpful-Selfless Personality Style, Carefully-Obsessive Personality Style, Optimistic-Rhapsodic Personality Style, Social Orientation, Strain, Emotionality and lower well-being. The only difference between nurses and controls was that nurses were significantly less open aggressive.ConclusionFor the first time, we were able to demonstrate Schmidbauer’s concept of Helper Syndrome. According to our data, we found a subgroup of individuals similar to Schmidbauer’s description of Helper Syndrome, but this sample was independent of helping or non-helping profession. These individuals seem to be at higher risk for psychiatric disorders

Depressive symptoms are more influenced by personality traits and styles than working in nursing—a study during the COVID-19 pandemic

BackgroundAccording to literature, the COVID-19 pandemic caused stressful working conditions for nurses, which may have a negative impact on their Well-Being and mental health.AimTo investigate whether nurses and non-helping professionals differ in their Well-Being. Furthermore, we analyzed, for the first time, which personality traits and styles are a risk factor for nurses’ wellbeing during COVID-19 pandemic.MethodsIn an online survey, the following psychological tests were used on nursing staff (n = 518) and non-helping professionals (n = 335): WHO-Five (WHO-5), the Personality, Style and Disorder Inventory (PSSI), and the Freiburg Personality Inventory-Revised (FPI-R).ResultsNurses and non-helping professionals did not differ significantly in terms of Well-Being. The Well-Being of nurses was correlated with the following personality traits and styles, namely Spontaneous-Borderline Personality Style, Silent-Depressive Personality Style, Strain, Emotionality, and Life Satisfaction. According to our results, 33% of participants suffered from clinically significant depressive symptoms.DiscussionAccording to our results, nurses are not more at risk for depression. However, it was shown that Well-Being during the pandemic is highly dependent on personality.ConclusionSpecific personality traits and styles are a greater predictor of depressive symptoms than profession. The stressful occupational environment during COVID-19 pandemic is not the only cause for depressive symptoms in nurses. Psychotherapeutic interventions are especially important for particular individuals and are necessary to prevent depressive symptoms during COVID-19 pandemic

Sudden cardiac death while waiting: do we need the wearable cardioverter-defibrillator?

Sudden cardiac death (SCD) is the most frequent cause of cardiovascular death in industrialized nations. Patients with cardiomyopathy are at increased risk for SCD and may benefit from an implantable cardioverter-defibrillator (ICD). The risk of SCD is highest in the first months after myocardial infarction or first diagnosis of severe non-ischemic cardiomyopathy. On the other hand, left ventricular function may improve in a subset of patients to such an extent that an ICD might no longer be needed. To offer protection from a transient risk of SCD, the wearable cardioverter-defibrillator (WCD) is available. Results of the first randomized clinical trial investigating the role of the WCD after myocardial infarction were recently published. This review is intended to provide insight into data from the VEST trial, and to put these into perspective with studies and clinical experience. As a non-invasive, temporary therapy, the WCD may offer advantages over early ICD implantation. However, recent data demonstrate that patient compliance and education play a crucial role in this new concept of preventing SCD