Personalized Swiss Sepsis Study

Personalized Swiss Sepsis Study: With Machine Learning and Computational Modelling Towards Personalized Sepsis Management - Discovery of Digital Biomarkers

This multi-center study is to focus on patients with sepsis in Intensive Care Units (ICUs) in order to better understand the complex host-pathogen interaction and clinical heterogeneity associated with sepsis. Understanding this heterogeneity may allow the development of novel diagnostic approaches. Data from patients will be analyzed using state-of-the art analytical algorithms for biomarker discovery including machine learning and multidimensional mathematical modelling to explore the large datasets generated. In order to discover digital biomarkers for the study endpoints a case-control study design will be used to compare data patterns from patients with sepsis (cases) and those without sepsis (controls).

Inclusion Criteria:

• Patients admitted to an ICU on a Swiss University Hospital.
• Patients expected to stay at least 24h on the ICU

Inclusion Criteria (cases)

• Present at admission to ICU or subsequent development of sepsis 3.0 criteria

Inclusion Criteria (controls)

• Patients not fulfilling sepsis definition during the ICU stay

Exclusion Criteria:

• Decline of general consent or any other negative statement against using data for research.
• Patients with a clear elective stay on the ICUs.