Introduction: As medical education becomes more complex, the demand for advanced teaching and training methods has grown. Technological advancements have opened up new possibilities, particularly in the realm of virtual reality (VR) simulations for training.
Research Question: Our prospective, randomized pilot study aims to assess whether a novel VR-based 3D training platform can effectively teach the knowledge and skills needed for complex spinal surgery, specifically pedicle screw placement.
Background: The subjective experiences of individuals living with diabetes is commonly assessed with patient-reported outcomes (PROs; eg, depression symptoms, wellbeing, health-related quality of life [HRQOL], and diabetes-related distress). Cluster analyses have identified novel diabetes subtypes differing in phenotypic and metabolic characteristics. We aimed to investigate associations between these subtypes and PROs and whether subtype predicted PROs 5 years later.
View Article and Find Full Text PDFPurpose: This study investigates the care provision and the role of infectious disease (ID) specialists during the coronavirus disease-2019 (COVID-19) pandemic.
Methods: A survey was conducted at German study sites participating in the Lean European Open Survey on SARS-CoV-2 infected patients (LEOSS). Hospitals certified by the German Society of Infectious diseases (DGI) were identified as ID centers.
Background & Aims: Hepatitis E virus (HEV) is a main cause of acute hepatitis globally. However, immunosuppressed patients regularly develop chronic courses. The aim of this study was to analyse the current status of HEV diagnostics, characterize clinical manifestations and identify risk factors for complicated HEV infections.
View Article and Find Full Text PDFObjectives: To investigate, whether inflammatory rheumatic diseases (IRD) inpatients are at higher risk to develop a severe course of SARS-CoV-2 infections compared to the general population, data from the German COVID-19 registry for IRD patients and data from the Lean European Survey on SARS-CoV-2 (LEOSS) infected patients covering inpatients from the general population with SARS-CoV-2 infections were compared.
Methods: 4310 (LEOSS registry) and 1139 cases (IRD registry) were collected in general. Data were matched for age and gender.
Background: Klebsiella (K.) pneumoniae is a ubiquitous Gram-negative bacterium and a common coloniser of animals and humans. Today, K.
View Article and Find Full Text PDFIntroduction: Active malignancies have been identified as an independent risk factor for severity and mortality in COVID-19. However, direct comparisons between SARS-CoV-2-infected patients with active (acP) and non-active cancers (n-acP) remain scarce.
Patients And Methods: We retrospectively analyzed a cohort of cancer patients with PCR-confirmed SARS-CoV-2 infection, enrolled from March 16, 2020, to July 31, 2021.
The Covid-19 pandemic has pushed many hospitals to their capacity limits. Therefore, a triage of patients has been discussed controversially primarily through an ethical perspective. The term triage contains many aspects such as urgency of treatment, severity of the disease and pre-existing conditions, access to critical care, or the classification of patients regarding subsequent clinical pathways starting from the emergency department.
View Article and Find Full Text PDFDuring the COVID-19 pandemic, large numbers of elderly, multimorbid people required treatment in intensive care units. This study investigated how the inherent patient factors age and comorbidity burden affected the treatment strategy and the outcome achieved. Retrospective analysis of data from intensive care patients enrolled in the Lean European Open Survey on SARS-CoV2-Infected Patients (LEOSS) cohort found that a patient's age and comorbidity burden in fact influenced their mortality rate and the use of ventilation therapy.
View Article and Find Full Text PDFTo investigate (i) the importance and priorities of research objectives for people with type 1 (T1DM) and type 2 diabetes (T2DM); (ii) subgroups with specific research priorities; (iii) associated factors (e.g., sociodemographic characteristics) of the subgroups.
View Article and Find Full Text PDFBackground/hypothesis: Risk factor control of diabetes mellitus (DM) and especially dyslipidemia remains unsatisfactory in patients with atherosclerotic cardiovascular disease (ASCVD). We aimed to analyze the knowledge of low-density lipoprotein cholesterol (LDL-C) and glycated hemoglobin (HbA1c) treatment goals, subjective level of information, and information needs in very high-risk patients with ASCVD.
Methods: ASCVD patients (n = 210; 75 ± 9 years; 71.
Although there is strong evidence that SARS-CoV-2 infection is associated with adverse outcomes in certain ethnic groups, the association of disease severity and risk factors such as comorbidities and biomarkers with racial disparities remains undefined. This retrospective study between March 2020 and February 2021 explores COVID-19 risk factors as predictors for patients' disease progression through country comparison. Disease severity predictors in Germany and Japan were cardiovascular-associated comorbidities, dementia, and age.
View Article and Find Full Text PDFSuperinfections are a fundamental critical care problem, and their significance in severe COVID-19 cases needs to be determined. This study analyzed data from the Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS) cohort focusing on intensive care patients. A retrospective analysis of patient data from 840 cases of COVID-19 with critical courses demonstrated that co-infections were frequently present and were primarily of nosocomial origin.
View Article and Find Full Text PDFBackground: COVID-19 is a severe disease with a high need for intensive care treatment and a high mortality rate in hospitalized patients. The objective of this study was to describe and compare the clinical characteristics and the management of patients dying with SARS-CoV-2 infection in the acute medical and intensive care setting.
Methods: Descriptive analysis of dying patients enrolled in the Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS), a non-interventional cohort study, between March 18 and November 18, 2020.
(1) Background: Between March 2020 and January 2022 severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) caused five infection waves in Europe. The first and the second wave was caused by wildtype SARS-CoV-2, while the following waves were caused by the variants of concern Alpha, Delta, and Omicron respectively. (2) Methods: In the present analysis, the first four waves were compared in Germany and the UK, in order to examine the COVID-19 epidemiology and its modulation by non-pharmaceutical interventions (NPI).
View Article and Find Full Text PDFElectrical impedance tomography is a valuable tool for monitoring global and regional lung mechanics. To evaluate the recorded data, an accurate estimate of the lung area is crucial.We present two novel methods for estimating the lung area using functional tidal images or active contouring methods.
View Article and Find Full Text PDFAdvanced age, followed by male sex, by far poses the greatest risk for severe COVID-19. An unresolved question is the extent to which modifiable comorbidities increase the risk of COVID-19-related mortality among younger patients, in whom COVID-19-related hospitalization strongly increased in 2021. A total of 3,163 patients with SARS-COV-2 diagnosis in the Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS) cohort were studied.
View Article and Find Full Text PDFBackground And Objective: International registries have reported high mortality rates in patients with liver disease and COVID-19. However, the extent to which comorbidities contribute to excess COVID-19 mortality in cirrhosis is controversial.
Methods: We used the multinational Lean European Open Survey on SARS-CoV-2-infected patients (LEOSS) to identify patients with cirrhosis documented between March 2020 and March 2021, when the wild-type and alpha variant were predominant.
Objective: We aimed to investigate the perception of the implementation success of reporting and learning systems in German hospitals, the perceived relevance of the implementation outcomes and whether and how these implementation outcomes are monitored. An reporting and learning system is a tool used worldwide for patient safety that identifies and analyses critical events, errors, risks and near misses in healthcare.
Methods: A pretested exploratory cross-sectional online survey was conducted with reporting and learning system experts from 51 acute care hospitals.
[This corrects the article DOI: 10.1016/j.ailsci.
View Article and Find Full Text PDFDespite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases are lacking. In this work, we developed a machine learning model which predicts mortality for COVID-19 patients using data from the multi-center 'Lean European Open Survey on SARS-CoV-2-infected patients' (LEOSS) observational study (>100 active sites in Europe, primarily in Germany), resulting into an AUC of almost 80%. We showed that molecular mechanisms related to dementia, one of the relevant predictors in our model, intersect with those associated to COVID-19.
View Article and Find Full Text PDFObjectives: We (1) collected instruments that assess health-related quality of life (HRQoL), activities of daily living (ADL) and social participation during follow-up after polytrauma, (2) described their use and (3) investigated other relevant patient-reported outcomes (PROs) assessed in the studies.
Design: Systematic Review using the Preferred Reporting Items for Systematic Review and Meta-Analysis guideline.
Data Sources: MEDLINE, Embase, CINAHL, PsycINFO, CENTRAL, as well as the trials registers ClinicalTrials.