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
NCT05383963 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 10000
Last updated 2025-12-01
Summary
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
- Sepsis
- Septic Shock
Sponsors & Collaborators
-
Charite University, Berlin, Germany
lead OTHER
Principal Investigators
-
Claudia Spies, MD, Prof. · Charite University, Berlin, Germany
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-07-15
- Primary Completion
- 2026-09-30
- Completion
- 2027-12-31
Countries
- Germany
Study Locations
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