Publications by authors named "G Anton"
Article Synopsis
- Multidrug-resistant urinary tract infections (MDR UTIs) are a significant public health issue for pregnant women, prompting a study to analyze the types of bacteria involved and their resistance patterns.
- The study included 371 pregnant patients with UTIs, categorizing them based on their resistance to antibiotics into four groups, and used statistical methods to assess the impact of these infections on pregnancy outcomes.
- Key findings revealed that MDR UTIs are associated with high resistance to common antibiotics like ampicillin and increased risks of complications such as preterm birth and neonatal health issues, highlighting the need for improved treatment protocols.
BCR::ABL1-negative myeloproliferative neoplasms (MPNs) are clonal haematopoietic stem cell disorders characterized by specific driver mutations and an increased risk of both macrothrombosis and microthrombosis. Serotonin receptor type 1B (HTR1B) was found to be expressed by various solid tumours, and also primary bone marrow mononuclear cells from myelodysplastic neoplasm and acute myeloid leukaemia patients, representing a potential therapeutic target. In this study we assessed for the first time the expression levels of HTR1B mRNA in the peripheral blood mononuclear cells (PBMC) of 85 newly diagnosed MPN patients, consisting of 28 polycythemia vera, 25 essential thrombocythemia and 32 primary myelofibrosis cases.
View Article and Find Full Text PDFIn the early phase of the COVID-19 pandemic, many local collections of clinical data on patients infected with SARS-CoV-2 were initiated in Germany. As part of the National Pandemic Cohort Network (NAPKON) of the University Medicine Network, the "Integration Core" was established to design the legal, technical and organisational requirements for the integration of inventory data into ongoing prospective data collections and to test the feasibility of the newly developed solutions using use cases (UCs). Detailed study documents of the data collections were obtained.
View Article and Find Full Text PDFFair allocation of funding in multi-centre clinical studies is challenging. Models commonly used in Germany - the case fees ("fixed-rate model", FRM) and up-front staffing and consumables ("up-front allocation model", UFAM) lack transparency and fail to suitably accommodate variations in centre performance. We developed a performance-based reimbursement model (PBRM) with automated calculation of conducted activities and applied it to the cohorts of the National Pandemic Cohort Network (NAPKON) within the Network of University Medicine (NUM).
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