Impact of Local Air Pressure on Ion Mobilities and Data Consistency in diaPASEF-Based High Throughput Proteomics.

Data-independent acquisition (DIA) on ion mobility mass spectrometers enables deep proteome coverage and high data completeness in large-scale proteomics studies. For advanced acquisition schemes such as parallel accumulation serial fragmentation-based DIA (diaPASEF) stability of ion mobility (1/K) over time is crucial for consistent data quality. We found that minor changes in environmental air pressure systematically affect the vacuum pressure in the TIMS analyzer, causing ion mobility shifts.

A User-Centered Design Approach for a Screening App for People With Cognitive Impairment (digiDEM-SCREEN): Development and Usability Study.

Background: Dementia is a widespread syndrome that currently affects more than 55 million people worldwide. Digital screening instruments are one way to increase diagnosis rates. Developing an app for older adults presents several challenges, both technical and social.

Digital screening tool for the assessment of cognitive impairment in unsupervised setting-digiDEM-SCREEN: study protocol for a validation study.

Introduction: Dementia is one of the most relevant widespread diseases, with a prevalence of currently 55 million people with dementia worldwide. However, about 60-75% of people with dementia have not yet received a formal diagnosis. Asymptomatic screening of cognitive impairments using neuropsychiatric tests has been proven to efficiently enhance diagnosis rates.

ProVIA-Kids - outcomes of an uncontrolled study on smartphone-based behaviour analysis for challenging behaviour in children with intellectual and developmental disabilities or autism spectrum disorder.

Introduction: Challenging behaviour (CB) is a common issue among children with autism spectrum disorder or intellectual and developmental disability. Mental health applications are low-threshold cost-effective tools to address the lack of resources for caregivers. This pre-post study evaluated the feasibility and preliminary effectiveness of the smartphone app using algorithm-based behaviour analysis to identify causes of CB and provide individualized practical guidance to manage and prevent CB.

[Risks for a good life in old age-Importance of selected dimensions of living conditions].

Background: Life situation dimensions, such as financial resources, housing, health and social relationships, have a significant influence on the scope available to older people for coping with everyday life and participation and thus for a good life in old age.

Method: As a basis for identifying current and future challenges posed by precarious living conditions in old age, current publicly available data and study results on the income situation, housing, health and care are reported as central dimensions of the living conditions of people aged 65 years and over in Germany.

Results: The study results presented provide indications as to which groups of older people live in particularly precarious living situations, which provide starting points for municipal action.

Prevalence and clinical implications of bloodstream infections in intensive care patients with or without burn injury: a retrospective cohort study.

Purpose: Severe burn injuries are often accompanied by infections and associated with high morbidity and mortality. This study aimed to compare the prevalence and clinical impact of bacteremia between patients receiving intensive care with and without burns.

Methods: This single-center retrospective cohort study at the University Hospital Vienna, Austria, analyzed blood cultures from intensive care unit (ICU) patients with and without burns (2012-2022) to assess the prevalence of bacteremia, the associated pathogen distribution and the 60-day all-cause mortality.

Smartphone-based behaviour analysis for challenging behaviour in intellectual and developmental disabilities and autism spectrum disorder - Study protocol for the ProVIA trial.

Background: Challenging behaviour (CB) comprises various forms of aggressive and problematic behaviours frequently occurring in children with intellectual and developmental disability (IDD) or autism spectrum disorder (ASD). CB often arises from impaired communication or problem solving skills. It is often met with coercive measure due to a lack of alternative strategies on the part of the caregiver, while it also impacts on the caregivers due to the exposure to physical harm and high levels of stress.

A Model Predicting Mortality of Hospitalized Covid-19 Patients Four Days After Admission: Development, Internal and Temporal-External Validation.

Objective: To develop and validate a prognostic model for in-hospital mortality after four days based on age, fever at admission and five haematological parameters routinely measured in hospitalized Covid-19 patients during the first four days after admission.

Methods: Haematological parameters measured during the first 4 days after admission were subjected to a linear mixed model to obtain patient-specific intercepts and slopes for each parameter. A prediction model was built using logistic regression with variable selection and shrinkage factor estimation supported by bootstrapping.

Adverse Outcome in COVID-19 Is Associated With an Aggravating Hypo-Responsive Platelet Phenotype.

Thromboembolic complications are frequently observed in Coronavirus disease 2019 (COVID-19). While COVID-19 is linked to platelet dysregulation, the association between disease outcome and platelet function is less clear. We prospectively monitored platelet activation and reactivity in 97 patients during the first week of hospitalization and determined plasma markers of platelet degranulation and inflammation.

Effect of itraconazole on the pharmacokinetics of faldaprevir in healthy subjects.

Faldaprevir (FDV), a substrate of CYP3A/P-glycoprotein (P-gp), is a selective inhibitor of the hepatitis C virus (HCV) NS3/4 protease. FDV is currently under clinical development for application in interferon-free treatment regimens for patients with chronic HCV infection. Understanding the drug-drug interaction potential of FDV is critical, as certain drug combinations may facilitate the more rapid achievement of steady-state-that is, the ideal drug concentration and balanced metabolic cycle of absorption and elimination that optimize drug efficacy.

[The handling of psychotropic drugs in outpatient long-term care of older people : Part 2: the perspective of outpatient care providers].

Background: Studies show risks in the psychopharmacological care of older people with long-term care needs. In developing recommendations on the handling of psychotropic drugs in outpatient long-term care, the perspective of care professionals has so far received only sporadic attention.

Objective: The study aims to explore perspectives in outpatient care on the use of psychopharmaceuticals in the care of older people in need of long-term care.

[The psychopharmacological treatment of older people in need of care : Part 1: the perspective of inpatient care].

Background: Studies show a variety of risks associated with psychotropic medication for older people in need of long-term care in Germany. In inpatient care, nursing has important tasks when dealing with psychotropic drugs, such as placement and administration, patient observation and communication with doctors.

Aim Of Study: The study examined experiences and assessments of the handling of psychotropic drugs in inpatient care from the perspective of managers.

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios.

In medicine or industry, the analysis of high-dimensional data sets is increasingly required. However, available technical solutions are often complex to use. Therefore, new approaches like immersive analytics are welcome.

Process-Driven and Flow-Based Processing of Industrial Sensor Data.

For machine manufacturing companies, besides the production of high quality and reliable machines, requirements have emerged to maintain machine-related aspects through digital services. The development of such services in the field of the Industrial Internet of Things (IIoT) is dealing with solutions such as effective condition monitoring and predictive maintenance. However, appropriate data sources are needed on which digital services can be technically based.

Anomaly Detections for Manufacturing Systems Based on Sensor Data-Insights into Two Challenging Real-World Production Settings.

To build, run, and maintain reliable manufacturing machines, the condition of their components has to be continuously monitored. When following a fine-grained monitoring of these machines, challenges emerge pertaining to the (1) feeding procedure of large amounts of sensor data to downstream processing components and the (2) meaningful analysis of the produced data. Regarding the latter aspect, manifold purposes are addressed by practitioners and researchers.

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data.

Visual analytics are becoming increasingly important in the light of big data and related scenarios. Along this trend, the field of immersive analytics has been variously furthered as it is able to provide sophisticated visual data analytics on one hand, while preserving user-friendliness on the other. Furthermore, recent hardware developments such as smart glasses, as well as achievements in virtual-reality applications, have fanned immersive analytic solutions.

Safety, Tolerability and Pharmacokinetics of Oral BI 425809, a Glycine Transporter 1 Inhibitor, in Healthy Male Volunteers: A Partially Randomised, Single-Blind, Placebo-Controlled, First-in-Human Study.

Background And Objectives: Schizophrenia and Alzheimer's disease are characterised by glutamatergic pathway abnormalities related to N-methyl-D-aspartate (NMDA) receptor hypofunction and cognitive impairment. Glycine is an NMDA receptor co-agonist; inhibition of glycine transporter 1 (GlyT1) should improve NMDA receptor hypofunction. This study evaluated safety and pharmacokinetic properties of BI 425809-a potent and selective GlyT1 inhibitor.

Effect of Steady-State Faldaprevir on Pharmacokinetics of Atorvastatin or Rosuvastatin in Healthy Volunteers: A Prospective Open-Label, Fixed-Sequence Crossover Study.

Faldaprevir (FDV) is a potent, orally administered inhibitor of hepatitis C virus protease. It inhibits multiple cytochrome P-450 enzymes and multiple membrane transporters. The objective of this study was to evaluate the effect of steady-state faldaprevir on the pharmacokinetics (PK) of a single dose of atorvastatin or rosuvastatin.

Who is a 'healthy subject'?-consensus results on pivotal eligibility criteria for clinical trials.

Introduction/methods: A discussion forum was hosted by the German not-for-profit Association for Applied Human Pharmacology (AGAH e.V.) to critically review key eligibility criteria and stopping rules for clinical trials with healthy subjects, enrolling stakeholders from the pharmaceutical industry, contract research organisations, academia, ethics committees and competent authority.