Using routine data to improve diagnosis of sepsis and septic shock
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 (QUICK-SEPSIS)
This study is testing a new computer program that uses past medical records to see if it can help doctors diagnose sepsis and septic shock faster and more accurately for patients in the ICU.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 10000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Charite University, Berlin, Germany Academic / other |
| Locations | 1 site (Berlin) |
| Trial ID | NCT05383963 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older who have been in the ICU for more than 24 hours.
Not a fit: Patients who do not meet the age or ICU stay criteria may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to faster and more accurate diagnoses of sepsis, improving patient outcomes and potentially saving lives.
How similar studies have performed: Other studies utilizing machine learning for sepsis diagnosis have shown promise, indicating that this approach could be effective.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * age \>= 18 years * ICU stay of \> 24 hours Exclusion Criteria: * none
Where this trial is running
Berlin
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.