EARLY DIAGNOSIS OF SEPTIC DIC
EASY-DIC
OPTIMIZATION AND CLINICAL VALIDATION OF AN INNOVATIVE TEST FOR THE EARLY DIAGNOSIS OF SEPTIC DIC VIA AN AUTOMATION INTEGRATING ARTIFICIAL INTELLIGENCE
2 other identifiers
observational
492
1 country
1
Brief Summary
Disseminated Intravascular Coagulation is a severe complication of septic shock, associated with high mortality, whose diagnosis relies on complex scores that are rarely used in practice. Preliminary studies have shown that increased neutrophil fluorescence is associated with Disseminated Intravascular Coagulation and could reflect NETosis, a key mechanism of immunothrombosis. This study aims to validate neutrophil fluorescence measured on the SthemA 801 analyzer, alone or integrated into an artificial intelligence model, as an early, reliable, and routinely usable biomarker for the diagnosis of septic Disseminated Intravascular Coagulation.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2026
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 1, 2026
CompletedFirst Posted
Study publicly available on registry
June 5, 2026
CompletedStudy Start
First participant enrolled
June 15, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
January 15, 2029
June 5, 2026
June 1, 2026
2.5 years
June 1, 2026
June 1, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Early diagnosis of disseminated intravascular coagulation in patients with septic shock hospitalized in medical intensive care using the neutrophil fluorescence ratio or an AI model based on complete blood count results
1. Development and validation of the optimal neutrophil fluorescence threshold/ratio on the sthemA 801 analyzer for the early diagnosis of septic DIC in patients with septic shock admitted to medical intensive care. 2. Development and validation of the AI model, based on the results of the CBC combined with the advanced multiparametric capabilities of the sthemA 801 analyzer, for the early diagnosis of septic DIC in patients with septic shock admitted to medical intensive care.
From admission to intensive care until day 2 after admission
Study Arms (1)
Patients admitted to intensive care for septic shock
This pilot cohort is based on the demonstration that the increase in fluorescence of neutrophils, whether isolated or integrated into an AI model, is predictive of DIC and constitutes an early and reliable diagnostic marker of septic DIC.
Eligibility Criteria
Adult patients admitted to the intensive care unit (ICU) for septic shock, with or without sepsis-associated disseminated intravascular coagulation (DIC), at the time of ICU admission.
You may qualify if:
- Male or female ≥ 18 years old
- Patient admitted to intensive care for septic shock
- Patient affiliated with a social security scheme or having rights
You may not qualify if:
- Child-Pugh C cirrhosis
- Neutropenia (\<500 mm3)
- Patient under legal protection
- Patient under guardianship or curatorship
- Pregnancy/ Breastfeeding
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The University Hospitals of Strasbourg, Intensive Care Medicine Department - New Civil Hospital
Strasbourg, 67098, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 1, 2026
First Posted
June 5, 2026
Study Start
June 15, 2026
Primary Completion (Estimated)
December 15, 2028
Study Completion (Estimated)
January 15, 2029
Last Updated
June 5, 2026
Record last verified: 2026-06