Actively Recruiting
Prospective Validation of GRADY: A Machine Learning Model for Early Sepsis and Bacteremia Detection in ICU Patients
Led by Sisli Hamidiye Etfal Training and Research Hospital · Updated on 2025-08-17
55
Participants Needed
1
Research Sites
47 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This study aims to prospectively validate the GRADY prediction models, which use machine learning algorithms to estimate the risk of gram-negative bacteremia and sepsis in intensive care unit (ICU) patients based on routinely collected vital signs and laboratory data. Sepsis, a life-threatening condition associated with high ICU mortality, requires early diagnosis and treatment-yet current diagnostic methods relying on blood cultures are time-consuming. Existing scoring systems such as SOFA, SIRS, and NEWS2 often lack sufficient sensitivity and specificity in early sepsis detection. Unlike traditional tools, the GRADY models seek to provide earlier and more accurate risk stratification. This study will compare the clinical performance of GRADY models against standard scoring systems and explore their integration as early warning tools to support rapid intervention and improve outcomes in critical care.
CONDITIONS
Official Title
Prospective Validation of GRADY: A Machine Learning Model for Early Sepsis and Bacteremia Detection in ICU Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients aged 18 years or older
- ICU stay of 48 hours or longer
- Patients from whom blood cultures were obtained during routine monitoring
- Signed informed consent form
You will not qualify if you...
- Patients younger than 18 years
- ICU stay shorter than 48 hours
- Patients without blood cultures
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Sisli etfal research and training hospital
Seyrantepe, Istanbul, Turkey (Türkiye), 34371
Actively Recruiting
Research Team
O
okan derin
CONTACT
A
ahmet doğukan bayrak
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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