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
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Julie HELMS, Professor
- Phone Number: +33 3 69 55 13 69
- Email: julie.helms@chru-strasbourg.fr
Study Locations
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Strasbourg, France, 67098
- The University Hospitals of Strasbourg, Intensive Care Medicine Department - New Civil Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Male or female ≥ 18 years old
- Patient admitted to intensive care for septic shock
- Patient affiliated with a social security scheme or having rights
- No objection from the patient or a relative in case the patient is not able to express consent, or inclusion under emergency procedure in case the patient is not able to express their opinion and no relative of the patient is reachable.
Exclusion Criteria:
- Moribund patient on the day of inclusion
- Child-Pugh C cirrhosis
- Neutropenia (<500 mm3)
- Patient under legal protection
- Patient under guardianship or curatorship
- Pregnancy/ Breastfeeding
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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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.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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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
Time Frame: From admission to intensive care until day 2 after admission
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From admission to intensive care until day 2 after admission
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Infections
- Sepsis
- Systemic Inflammatory Response Syndrome
- Inflammation
- Hematologic Diseases
- Blood Coagulation Disorders
- Hemorrhagic Disorders
- Shock
- Thrombophilia
- Pathological Conditions, Signs and Symptoms
- Hemic and Lymphatic Diseases
- Shock, Septic
- Disseminated Intravascular Coagulation
Other Study ID Numbers
Other Study ID Numbers
- RC26_0023
- CE-2026-38 (Other Identifier: ETHICS COMMITTEE of the Faculties of Medicine, Dentistry, Pharmacy, Nursing Schools, Physiotherapy, Midwifery, and Hosp)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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