AI blood test could spot deadly clotting complication in sepsis patients
NCT ID NCT07630415
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study aims to validate a new blood test that uses artificial intelligence to detect disseminated intravascular coagulation (DIC) early in patients with septic shock. DIC is a severe clotting disorder that often leads to death, but current diagnostic methods are complex and rarely used. The test measures a specific blood cell signal and combines it with AI to provide a faster, more reliable diagnosis. Researchers will enroll 492 adults in intensive care to see if this approach works better than existing tools.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- neutrophil fluorescence test and AI model
- What this could lead to
- If successful, this could give doctors a simple, fast blood test to catch a deadly complication of sepsis early, potentially saving lives.
- What could go wrong
- This is an early validation study, not a treatment trial. The test may not prove accurate enough in real-world intensive care settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 492 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Jun 2026
An estimate. Start dates often move.
- Expected to finish
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Jan 2029
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
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.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
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
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Get notified about this study
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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The University Hospitals of Strasbourg, Intensive Care Medicine Department - New Civil Hospital
Strasbourg, 67098, France
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Bedside eye scans may reveal hidden blood flow problems in septic shock
- Can two blood markers catch sepsis before it turns deadly?
- Two cheap blood ratios put to the test as sepsis death predictors
- Can a bedside ultrasound predict which septic shock patients will stop breathing on their own?
- Can a computer model speed up sepsis blood tests?
- A routine calcium reading could reveal how sick a sepsis patient really is