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

Recruiting now

Conditions studied: Sepsis, Septic Shock

In brief

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.

Key facts

Study ID

NCT05383963

Run by

Charite University, Berlin, Germany

People needed

10000

Starts

2022-07-15

Expected to finish

2027-12-01

Last updated by the study team

2025-12-01

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• age >= 18 years
• ICU stay of > 24 hours

You may not qualify if…

• none

Where it is running

• Department of Anesthesiology and Operative Intensive Care Medicine CCM/CVK, Charité - Universitätsmedizin Berlin — Berlin, Germany (enrolling)

Full record on ClinicalTrials.gov

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