Actively Recruiting
Evaluation of Parameters Collected From Routine Data for the Diagnosis of Sepsis and Septic Shock and Their Influence on Time to Diagnosis and Patient Outcome
Led by Charite University, Berlin, Germany · Updated on 2025-12-01
10000
Participants Needed
1
Research Sites
280 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Retrospective observational study to develop a Machine Learning Algorithm to evaluate parameters collected from routine data for the diagnosis of sepsis and septic shock and their influence on time to diagnosis and patient outcome.
CONDITIONS
Official Title
Evaluation of Parameters Collected From Routine Data for the Diagnosis of Sepsis and Septic Shock and Their Influence on Time to Diagnosis and Patient Outcome
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 years or older
- ICU stay longer than 24 hours
You will not qualify if you...
History of severe allergic reactions to study medication Currently pregnant or breastfeeding Recent participation in another clinical trial within the last 30 days Presence of uncontrolled medical conditions that could affect safety
AI-Screening
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Trial Site Locations
Total: 1 location
1
Department of Anesthesiology and Operative Intensive Care Medicine CCM/CVK, Charité - Universitätsmedizin Berlin
Berlin, Germany, 13353
Actively Recruiting
Research Team
C
Claudia Spies, MD, Prof.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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