Understanding sepsis in ICU patients using advanced data analysis
Official title: Personalized Swiss Sepsis Study: With Machine Learning and Computational Modelling Towards Personalized Sepsis Management - Discovery of Digital Biomarkers
Run by University Hospital, Basel, Switzerland · NCT04130789 · Data updated 2026-11-12
This study looks at patients with sepsis in ICUs to see if advanced data analysis can help find new ways to diagnose the condition better.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 17500 (estimated) |
| Sponsor | University Hospital, Basel, Switzerland Academic / other |
| Locations | 16 sites (Basel and 15 other locations) |
| Status | Recruiting |
| Started | November 15, 2019 |
| Main results expected | May 31, 2022 |
| Study ends | December 2025 |
| Registry record updated | March 5, 2025 |
| Trial ID | NCT04130789 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include ICU patients in Swiss university hospitals who are expected to stay for at least 24 hours and either present with or develop sepsis.
✕Probably not a fit
Patients who are admitted for elective stays in the ICU or decline consent for data use may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study focuses on patients with sepsis in Intensive Care Units (ICUs) to explore the complex interactions between hosts and pathogens. By utilizing state-of-the-art analytical algorithms, including machine learning and multidimensional modeling, the study aims to analyze large datasets to identify digital biomarkers. A case-control design will compare data patterns from patients with sepsis to those without, potentially leading to novel diagnostic approaches for sepsis. The study is conducted across multiple centers in Switzerland, specifically within university hospitals.
Why it matters
Potential benefit: If successful, this study could lead to improved diagnostic methods for sepsis, enhancing patient outcomes.
How similar studies have gone: Other studies utilizing machine learning for sepsis diagnosis have shown promise, indicating that this approach is both relevant and potentially impactful.
Who can join: the full rules
Show full inclusion / exclusion criteria
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.
Where it's running
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Clinical Microbiology, University Hospital Basel
Basel, Switzerland Recruiting -
Infectious Diseases and Hospital Epidemiology, University Hospital Basel
Basel, Switzerland Recruiting -
Medical Intensive Care Unit; University Hospital Basel
Basel, Switzerland Recruiting -
Surgical Intensive Care Unit, University Hospital Basel
Basel, Switzerland Recruiting -
Institute for Infectious Diseases, University of Bern
Bern, Switzerland Recruiting -
Division Infectious Diseases, University Hospital Bern
Bern, Switzerland Recruiting
Show 10 more locations
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Intensive Care Medicine, University Hospital Bern
Bern, Switzerland Recruiting -
Division Bacteriology Laboratory, University Hospital Geneva
Geneva, Switzerland Recruiting -
Division Infectious Diseases, University Hospital Geneva
Geneva, Switzerland Recruiting -
Intensive Care Medicine, University Hospital Geneva
Geneva, Switzerland Recruiting -
Division Intensive Care Medicine, University Hospital Lausanne
Lausanne, Switzerland Recruiting -
Institute of Microbiology, University Hospital Lausanne
Lausanne, Switzerland Recruiting -
Service Infectious Diseases, University Hospital Lausanne
Lausanne, Switzerland Recruiting -
Institute for Medical Microbiology, University Hospital Zurich
Zurich, Switzerland Not yet recruiting -
Division Infectious Diseases, University Hospital Zurich
Zurich, Switzerland Not yet recruiting -
Institute for Intensive Medicine, University Hospital Zurich
Zurich, Switzerland Not yet recruiting
Study contacts
- Principal investigator: Adrian Egli, PD Dr. — Clinical Microbiology, University Hospital Basel
- Study coordinator: Adrian Egli, PD Dr.
- Email: adrian.egli@usb.ch
- Phone: +41 61 556 5749
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Ruta C and Vitamin C in Sepsis: Adding antioxidants to standard care
This trial tests whether adding Ruta C (rutin plus vitamin C) or vitamin C alone to standard sepsis treatment helps adults in the ICU stay shorter and recover better.
-
Early detection of sepsis-related blood clotting problems in severe burn patients
This study tests how well the JAAM-2 score can detect sepsis-induced coagulopathy early in adults with severe burns who develop sepsis in the ICU.
-
Neutrophil EMR3 as a biomarker for sepsis in ICU patients
Researchers will test whether measuring EMR3 on neutrophils helps diagnose sepsis, monitor progression, and predict outcomes in adults in Chinese ICUs.
-
Thymalfasin added to standard care for adults with sepsis and immune dysfunction
This study tests whether thymosin alpha-1 helps restore immune function in adults with sepsis who have weakened immunity.
-
Multicenter group study of sepsis and ARDS in China
This study tests how sepsis and ARDS differ among adults across several Chinese hospitals and builds a biobank to understand why some patients do better or worse.
-
Non-invasive hemodynamic guidance for sepsis care on medical wards
This trial tests whether guiding fluid and vasopressor therapy for sepsis using non-invasive hemodynamic measurements works better than standard care.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.