Infectious diseases caused by bacteria, viruses, and fungi show a wide spectrum of clinical signs and symptoms and diverse clinical outcome. Some patients may show only mild fever, whereas others show a severe inflammation and even fatal course. This diversity is rooted in the complex interactions between the patient, the microorganism causing the infection, and the timing of treatment.
Our project proposal aims to better understand the diversity of this interaction in patients requiring intensive care medicine. We will use a combination of clinical and laboratory data to improve personalized assessment, characterization, and outcome prediction in patients with infections. We will consider the clinical reasoning process of the attending physicians and the resulting patient assessment. This will significantly improve the quality of the collected data and generate a globally unique dataset for research in favor of critical ill patients with infections.