Publications by authors named "H Kirsten"
Background: Intravenous protamine administration for heparin reversal after percutaneous hepatic chemosaturation intervention is generally recommended, but its effectiveness on coagulation parameters remains unclear.
Methods: In a single-center retrospective observational study, the effects of different postinterventional protamine doses on the activated partial thromboplastin time (aPTT), international normalized ratio (INR), prothrombin time (PT), fibrinogen, platelet count (PLT), and hemoglobin (Hb) were analyzed in consecutive patients who underwent high-dose heparin administration (>300 U/kg body weight) and extracorporeal circulation for chemosaturation treatment. Due to the multiple treatments of individual patients, linear mixed-effects models were applied.
Background And Objectives: We should control free K during massive transfusion (>80 mL/kg) of red blood cells (RBCs) in small children. To manage this, several national and international guidelines recommend using RBCs stored only up to 7 days. We tested a washing step for RBCs in saline-adenine-glucose-mannitol (SAGM) with or without irradiation to reduce supernatant K levels, improve quality and potentially extend the shelf life of stored RBCs.
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- Selective attention to the emotional quality (valence) of words enhances the early ability to differentiate emotions associated with relevant words while diminishing responses to irrelevant ones.
- The study involved 58 participants who responded quickly to words of a certain emotional quality, revealing that short, high-frequency, and low-arousal words were more effectively processed in terms of emotional discrimination.
- Results indicate that both emotional quality and arousal levels interact during initial processing, supporting the idea that these factors influence how we perceive and react to emotional words at a subconscious level.
When infected with SARS-CoV-2, Syrian hamsters (Mesocricetus auratus) develop moderate disease severity presenting key features of human COVID-19. We here develop a biomathematical model of the disease course by translating known biological mechanisms of virus-host interactions and immune responses into ordinary differential equations. We explicitly describe the dynamics of virus population, affected alveolar epithelial cells, and involved relevant immune cells comprising for example CD4+ T cells, CD8+ T cells, macrophages, natural killer cells and B cells.
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