Julia Lanznaster
A5023410921- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- COVID-19 and healthcare impacts
- SARS-CoV-2 and COVID-19 Research
- Pancreatitis Pathology and Treatment
- Salivary Gland Tumors Diagnosis and Treatment
- COVID-19 diagnosis using AI
- Myasthenia Gravis and Thymoma
- Machine Learning in Healthcare
- Neutropenia and Cancer Infections
- Antibiotic Use and Resistance
- Sepsis Diagnosis and Treatment
- COVID-19 and Mental Health
- Palliative Care and End-of-Life Issues
- Mechanical Circulatory Support Devices
- Intraperitoneal and Appendiceal Malignancies
- COVID-19 epidemiological studies
- COVID-19 Impact on Reproduction
- Head and Neck Surgical Oncology
- Ultrasound and Hyperthermia Applications
- Artificial Intelligence in Healthcare and Education
- Infective Endocarditis Diagnosis and Management
- Heart Failure Treatment and Management
- Acute Myocardial Infarction Research
- Artificial Intelligence in Healthcare
Klinikum Passau
2020-2025
Robert Koch Institute
2023
Abstract Introduction Since the early SARS-CoV-2 pandemic, cancer patients have been assumed to be at higher risk for severe COVID-19. Here, we present an analysis of from LEOSS (Lean European Open Survey on Infected Patients) registry determine whether are risk. Patients and methods We retrospectively analyzed a cohort 435 2636 non-cancer with confirmed infection, enrolled between March 16 August 31, 2020. Data socio-demographics, comorbidities, cancer-related features infection course were...
Abstract Purpose Knowledge regarding patients’ clinical condition at severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection is sparse. Data in the international, multicenter Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS) cohort study may enhance understanding of COVID-19. Methods Sociodemographic and characteristics SARS-CoV-2-infected patients, enrolled LEOSS between March 16, 2020, May 14, were analyzed. Associations baseline stages diagnosis...
Abstract Background Population immunity against SARS-CoV-2 has increased, resulting in a decline of COVID-19 mortality. The aim the study was to analyse COVID-19-related mortality over pandemic, stratified by model groups at risk severe COVID-19. Predicted probability death dependence age and variant. Methods patients were included from January 2020 November 2022 using international multicentric cohort Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS). calculated multivariate...
The Covid-19 pandemic has pushed many hospitals to their capacity limits. Therefore, a triage of patients been discussed controversially primarily through an ethical perspective. term contains aspects such as urgency treatment, severity the disease and pre-existing conditions, access critical care, or classification regarding subsequent clinical pathways starting from emergency department. determination is important not only for patient but also planning in hospitals. We examine performance...
Abstract Purpose The ongoing pandemic caused by the novel severe acute respiratory coronavirus 2 (SARS-CoV-2) has stressed health systems worldwide. Patients with chronic kidney disease (CKD) seem to be more prone a course of (COVID-19) due comorbidities and an altered immune system. study’s aim was identify factors predicting mortality among SARS-CoV-2-infected patients CKD. Methods We analyzed 2817 enrolled in Lean European Open Survey on identified 426 pre-existing Group comparisons were...
Reported antibiotic use in coronavirus disease 2019 (COVID-19) is far higher than the actual rate of reported bacterial co- and superinfection. A better understanding therapy COVID-19 necessary.
Men are generally more susceptible to bacterial infections than women. Central venous catheters (CVCs), often used administer systemic treatment in patients with cancer, an important source of infection. However, little is known about sex-specific differences CVC-related bloodstream (CRBSIs) cancer. This study aimed compare CRBSIs men vs. women a large cohort
Although there is strong evidence that SARS-CoV-2 infection associated with adverse outcomes in certain ethnic groups, the association of disease severity and risk factors such as comorbidities biomarkers racial disparities remains undefined. This retrospective study between March 2020 February 2021 explores COVID-19 predictors for patients’ progression through country comparison. Disease Germany Japan were cardiovascular-associated comorbidities, dementia, age. We adjusted age, sex, body...
Despite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases lacking. In this work, we developed a machine learning model which predicts mortality for patients using data from multi-center 'Lean European Open Survey on SARS-CoV-2-infected patients' (LEOSS) observational study (>100 active sites in Europe, primarily Germany), resulting into an AUC of almost 80%. We showed that molecular mechanisms related to dementia,...
Abstract Purpose Patients suffering from chronic kidney disease (CKD) are in general at high risk for severe coronavirus (COVID-19) but dialysis-dependency (CKD5D) is poorly understood. We aimed to describe CKD5D patients the different intervals of pandemic and evaluate pre-existing dialysis dependency as a potential factor mortality. Methods In this multicentre cohort study, data German study sites Lean European Open Survey on SARS-CoV-2-infected (LEOSS) were used. multiply imputed missing...
Studies investigating risk factors for severe COVID-19 often lack information on the representativeness of study population. Here, we investigate associated with and compare dataset to general population.We used data from Lean European Open Survey SARS-CoV-2 infected patients (LEOSS) hospitalized diagnosed in 2020 Germany identify COVID-19, defined as progressing a critical disease stage or death. To assess representativeness, compared LEOSS cohort cases German statutory notification same...
Abstract Aims Patients with cardiac disease are considered high risk for poor outcomes following hospitalization COVID-19. The primary aim of this study was to evaluate heterogeneity in associations between various heart subtypes and in-hospital mortality. Method results We used data from the CAPACITY-COVID registry LEOSS study. Multivariable Poisson regression models were fitted assess association different types pre-existent 16,511 patients COVID-19 included (21.1% aged 66 – 75 years;...
Abstract Establishing the optimal treatment for COVID-19 patients remains challenging. Specifically, immunocompromised and pre-diseased are at high risk severe disease course face limited therapeutic options. Convalescent plasma (CP) has been considered as approach, but reliable data lacking, especially high-risk patients. We performed a retrospective analysis of 55 hospitalized from University Hospital Duesseldorf (UKD) progression, in substantial proportion due to immunosuppression cancer,...
Abstract Despite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases lacking. In this work, we developed a machine learning model which predicts mortality for patients using data from multi-center ‘Lean European Open Survey on SARS-CoV-2-infected patients’ (LEOSS) observational study (>100 active sites in Europe, primarily Germany), resulting into an AUC of almost 80%. We showed that molecular mechanisms related...
Symptom control for patients who were severely ill or dying from COVID-19 was paramount while resources strained and infection measures in place. We aimed to describe the characteristics of SARS-CoV-2 infected received specialized palliative care (SPC) type SPC provided a larger cohort.From multi-centre cohort study Lean European Open Survey on (LEOSS), data hospitalized with documented between July 2020 October 2021 analysed.273/7292 (3.7%) SPC. Those receiving older suffered more often...
<b><i>Introduction:</i></b> 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) non-active cancers (n-acP) remain scarce. <b><i>Patients Methods:</i></b> We retrospectively analyzed a cohort of cancer PCR-confirmed SARS-CoV-2 infection, enrolled from March 16, 2020, to July 31, 2021. Data on demographics,...
Introduction Bone metastasis are commonly found in cancer patients, sometimes even without any other organ involvement. There different ways to get a reliable histology like CT guided biopsy or surgery. Ultrasound is an easy and broadly available procedure, with potential biopsy. However, bone usually not the domain for ultrasound because of extinction signal. But if osteolytic lesions destroy surface bone, there could be window ultrasound. Here we report efficacy rate complications this method.
Purpose Mediastinal masses are often an expression of aggressive disease. For this reason, rapid histology acquisition is important, since reliable forms the basis for further therapy planning. Sonography a widely available and gentle method that expands possibilities acquisition, but there relative little data sonography-guided biopsy mediastinum.We report here effectivness complication rate method.
Introduction Histology is the backbone to plan therapy in hematology and oncology. However, there are different ways get a histology like endoscopy, CT guided biopsy or surgery
Einleitung Raumforderungen im Mediastinum sind nicht selten Ausdruck einer aggressiven Erkrankung. Aus diesem Grund ist eine schnelle Histologiegewinnung wichtig, da zuverlässige Histologie die Basis für weitere Therapieplanung darstellt. Die Sonographie breit verfügbare und schonende Methode, Möglichkeiten schnellen erweitert. sonografie-gesteuerte Biopsie des Mediastinums wird in der Literatur zwar beschrieben, jedoch gibt es relativ wenig Daten zu Verfahren.