Clinical trial Recruiting at 13 sites Observational Ages 18 and up

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 typeObservational
Ages18 Years and up
SexAll
Enrollment17500 (estimated)
SponsorUniversity Hospital, Basel, Switzerland
Academic / other
Locations16 sites (Basel and 15 other locations)
StatusRecruiting
StartedNovember 15, 2019
Main results expectedMay 31, 2022
Study endsDecember 2025
Registry record updatedMarch 5, 2025
Trial IDNCT04130789 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

  • 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
  • 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.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.