Molecular Biomarkers for Sepsis
NCT04280354 · Status: TERMINATED · Type: OBSERVATIONAL · Enrollment: 3
Last updated 2024-05-09
Summary
This multi-center observational case-control study in Intensive Care Unit (ICU) patients is to identify novel biomarkers allowing to recognize severe community acquired pneumonia (sCAP) -associated sepsis at an earlier stage and predict sepsis-related mortality. Patients with sCAP (cases) will be profoundly characterized over time regarding the development of sepsis and compared with control patients. The mechanisms and influencing factors on the clinical course will be explored with most modern -omics technologies allowing a detailed characterisation. These data will be analysed using machine learning algorithms and multi-dimensional mathematical models.
Conditions
- Sepsis
- Severe Community-acquired Pneumonia (sCAP)
- Infection, Bacterial
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
- 2022-02-16
- Primary Completion
- 2022-07-31
- Completion
- 2022-07-31
Countries
- Switzerland
Study Locations
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