Using routine data to improve diagnosis of sepsis and septic shock

Is this trial a fit for you?

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 analyzes retrospective data from medical records to develop a machine learning algorithm aimed at enhancing the diagnosis of sepsis and septic shock. The study will evaluate how various parameters influence the time to diagnosis and patient outcomes. By focusing on data collected from ICU patients over a 14-year period, the research seeks to validate the predictive value of the algorithm and improve treatment processes. The study will also assess the economic implications of enhanced diagnostic accuracy.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* age \>= 18 years
* ICU stay of \> 24 hours

Exclusion Criteria:

* none

Where it's running

• Department of Anesthesiology and Operative Intensive Care Medicine CCM/CVK, Charité - Universitätsmedizin Berlin
  Berlin, Germany Recruiting

Study contacts

• Study coordinator: Claudia Spies, MD, Prof.
• Email: claudia.spies@charite.de
• Phone: +49 30 450 55 11 02

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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.