Psychological Resilience Factors and Their Association With Weekly Stressor Reactivity During the COVID-19 Outbreak in Europe: Prospective Longitudinal Study.

Background: Cross-sectional relationships between psychosocial resilience factors (RFs) and resilience, operationalized as the outcome of low mental health reactivity to stressor exposure (low "stressor reactivity" [SR]), were reported during the first wave of the COVID-19 pandemic in 2020.

Objective: Extending these findings, we here examined prospective relationships and weekly dynamics between the same RFs and SR in a longitudinal sample during the aftermath of the first wave in several European countries.

Methods: Over 5 weeks of app-based assessments, participants reported weekly stressor exposure, mental health problems, RFs, and demographic data in 1 of 6 different languages.

Rehabilitation facilities' research needs and knowledge transfer in Southwest Germany: Data of the REHA-KNOWS study.

The REHA-KNOWS study was conducted to identify research needs, to explore attitudes and barriers towards health services research as well as to investigate knowledge transfer strategies in rehabilitation facilities in Southwest Germany. We designed a short online survey with 18 questions. From March to May 2023, we surveyed representatives of rehabilitation facilities in two German Federal States (Baden-Wuerttemberg and Saarland) using an online questionnaire provided via Unipark.

Evaluating case management for caregivers of children with spinal muscular atrophy type I and II-an exploratory, controlled, mixed-methods trial.

Introduction: Spinal muscular atrophy (SMA) is a rare neuromuscular disease requiring various clinical specialists and therapists to provide care. Due to the disease's dynamic nature and the long distances between specialized centers and local providers, integrating care between disciplines can be challenging. Care that is inadequately integrated can compromise the quality of care and become a burden for patients and families.

Accuracy of Computerized Optical Impression Making in Fabrication of Removable Dentures for Partially Edentulous Jaws: An In Vivo Feasibility Study.

The use of computerized optical impression making (COIM) for the fabrication of removable dentures for partially edentulous jaws is a rising trend in dental prosthetics. However, the accuracy of this method compared with that of traditional impression-making techniques remains uncertain. We therefore decided to evaluate the accuracy of COIM in the context of partially edentulous jaws in an in vivo setting.

A randomised controlled trial in preterm infants comparing prophylactic with selective "less invasive surfactant administration" (pro.LISA).

Background: Respiratory distress syndrome is the main cause of mortality and morbidity in preterm infants. "Less invasive surfactant administration" (LISA), which describes intratracheal surfactant administration to spontaneously breathing infants via a small diameter tube, is recommended as the first-line treatment in preterm infants with more than 30% supplemental oxygen. Prophylactic use of LISA in preterm infants with less than 30% supplemental oxygen was not tested in randomised controlled trials yet, and long-term outcome data of the procedure are scarce.

Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models.

Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criteria and for assessing parameter and prediction uncertainties, e.g. using the profile likelihood.

Predicting Patient Death after Allogeneic Stem Cell Transplantation for Inborn Errors Using Machine Learning (PREPAD): A European Society for Blood and Marrow Transplantation Inborn Errors Working Party Study.

Allogeneic hematopoietic stem cell transplantation (HSCT) is a curative treatment for many inborn errors of immunity, metabolism, and hematopoiesis. No predictive models are available for these disorders. We created a machine learning model using XGBoost to predict survival after HSCT using European Society for Blood and Marrow Transplant registry data of 10,888 patients who underwent HSCT for inborn errors between 2006 and 2018, and compared it to a simple linear Cox model, an elastic net Cox model, and a random forest model.

Catheter based left atrial appendage closure in-hospital outcomes in Germany from 2016 to 2020.

Background: New and refined catheter based left atrial appendage (LAA) closure devices have been introduced in the past decade. The procedure can be performed using either an endocardial occlusion device or an epicardial loop stitch. We aimed to analyzed recent procedural safety.

The impact of teeth and dental restorations on gray value distribution in cone-beam computer tomography: a pilot study.

Purpose: To investigate the influence of teeth and dental restorations on the facial skeleton's gray value distributions in cone-beam computed tomography (CBCT).

Methods: Gray value selection for the upper and lower jaw segmentation was performed in 40 patients. In total, CBCT data of 20 maxillae and 20 mandibles, ten partial edentulous and ten fully edentulous in each jaw, respectively, were evaluated using two different gray value selection procedures: manual lower threshold selection and automated lower threshold selection.

The concept of treatment beliefs in children and adolescents with chronic health conditions: a scoping review.

Children and adolescents with chronic health conditions are faced with ongoing challenges, making self-regulation crucial. As children grow up, they gradually develop differentiated beliefs about illness and treatment. While research indicates treatment beliefs as relevant factor on outcomes like adherence, the specific contents and dimensions of children's and adolescents' treatment beliefs remained unclear.

Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data.

Background: Real-world observational data are an important source of evidence on the treatment effectiveness for patients hospitalized with coronavirus disease 2019 (COVID-19). However, observational studies evaluating treatment effectiveness based on longitudinal data are often prone to methodological biases such as immortal time bias, confounding bias, and competing risks.

Methods: For exemplary target trial emulation, we used a cohort of patients hospitalized with COVID-19 (n = 501) in a single centre.

Transcatheter aortic valve implantation versus surgical aortic valve replacement in patients at low to intermediate surgical risk: rationale and design of the randomised DEDICATE Trial.

Transcatheter aortic valve implantation (TAVI) has become the preferred treatment option for patients with severe aortic stenosis at increased risk for surgical aortic valve replacement (SAVR) and for older patients irrespective of risk. However, in younger, low-risk patients for whom both therapeutic options, TAVI and SAVR, are applicable, the optimal treatment strategy remains controversial, as data on long-term outcomes remain limited. The DEDICATE-DZHK6 Trial is an investigator-initiated, industry-independent, prospective, multicentre, randomised controlled trial investigating the efficacy and safety of TAVI compared to SAVR in low- to intermediate-risk patients aged 65 years or older.

Investigating two mobile just-in-time adaptive interventions to foster psychological resilience: research protocol of the DynaM-INT study.

Background: Stress-related disorders such as anxiety and depression are highly prevalent and cause a tremendous burden for affected individuals and society. In order to improve prevention strategies, knowledge regarding resilience mechanisms and ways to boost them is highly needed. In the Dynamic Modelling of Resilience - interventional multicenter study (DynaM-INT), we will conduct a large-scale feasibility and preliminary efficacy test for two mobile- and wearable-based just-in-time adaptive interventions (JITAIs), designed to target putative resilience mechanisms.

Increased breath naphthalene in children with asthma and wheeze of the All Age Asthma Cohort (ALLIANCE).

Exhaled breath contains numerous volatile organic compounds (VOCs) known to be related to lung disease like asthma. Its collection is non-invasive, simple to perform and therefore an attractive method for the use even in young children. We analysed breath in children of the multicenter All Age Asthma Cohort (ALLIANCE) to evaluate if 'breathomics' have the potential to phenotype patients with asthma and wheeze, and to identify extrinsic risk factors for underlying disease mechanisms.

Integrating row level security in i2b2: segregation of medical records into data marts without data replication and synchronization.

Objective: i2b2 offers the possibility to store biomedical data of different projects in subject oriented data marts of the data warehouse, which potentially requires data replication between different projects and also data synchronization in case of data changes. We present an approach that can save this effort and assess its query performance in a case study that reflects real-world scenarios.

Material And Methods: For data segregation, we used PostgreSQL's row level security (RLS) feature, the unit test framework pgTAP for validation and testing as well as the i2b2 application.

Association between three-year mortality after transcatheter aortic valve implantation and paravalvular regurgitation graded by videodensitometry in comparison with visual grading.

Background: Estimation of regurgitant fraction by videodensitometry (VD-AR) of aortic root angiograms is a new tool for objective grading of paravalvular regurgitation (PVR) after transcatheter aortic valve implantation (TAVI). Stratification with boundaries at 6% and 17% has been proposed to reflect "none/trace", "mild" and "moderate or higher" PVR.

Objective: We sought to investigate the association of strata of VD-AR with 3-year mortality and to compare VD-AR with visual grading of angiograms.

Analysis of the key themes in the healthcare of older people with multimorbidity in Germany: a framework analysis as part of the LoChro trial.

Objectives: Multimorbidity challenges healthcare systems. In Germany, coordination of healthcare for older multimorbid patients remains unstructured.This study aims to identify key themes in the healthcare of these patients and the inter-relationships between them.