Personalized Swiss Sepsis Study
NCT04130789 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 17500
Last updated 2025-03-05
Summary
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).
Conditions
Interventions
- OTHER
-
compare data patterns by data-driven algorithms to determine sepsis
compare data patterns by data-driven algorithms including machine learning and multi-dimensional modelling to reliably determine sepsis
- OTHER
-
compare data patterns by data-driven algorithms to predict sepsis-related mortality
compare data patterns by data-driven algorithms including machine learning and multi-dimensional modelling to to predict sepsis-related mortality
Sponsors & Collaborators
-
Swiss Personalized Health Network (SPHN)
collaborator UNKNOWN -
Personalized Health and Related Technologies (PHRT) initiative of ETH Zürich
collaborator UNKNOWN -
University Hospital, Basel, Switzerland
lead OTHER
Principal Investigators
-
Adrian Egli, PD Dr. · Clinical Microbiology, University Hospital Basel
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-11-15
- Primary Completion
- 2022-05-31
- Completion
- 2025-12-31
Countries
- Switzerland
Study Locations
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