Muscle scans may reveal hidden death risk in ICU patients
NCT ID NCT07483710
First seen Jun 25, 2026 · Last updated Jul 10, 2026 · Updated 2 times
Summary
This study looks at whether muscle measurements from a CT scan taken when a patient is admitted to the ICU for septic shock can predict their risk of dying within 3 months after leaving the ICU. Researchers will analyze muscle size, density, and fat content from the scan and compare it to survival. The goal is to find a simple way to identify high-risk patients early.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could help doctors identify high-risk septic shock patients earlier using a simple CT scan, potentially guiding more aggressive care.
- What could go wrong
- This is an observational study, not a treatment trial. It only looks for a link between muscle measures and death risk, so it cannot prove cause or improve outcomes directly.
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.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 196 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Mar 2026
- Expected to finish
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May 2030
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.
- 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: Patients hospitalized in intensive care for septic shock defined by the presence of a documented or suspected infection, plasma lactate \>2 mmol/L, and an increase in SOFA score of more than 2 points from baseline (Singer et al., 2016) * Patients who underwent a non-contrast CT scan within 48 hours prior to admission and up to 24 hours after admission to intensive care * Patients affiliated with or eligible for social security Exclusion Criteria: * Patients with a neuromuscular disease prior to admission to intensive care. * Pregnant women * Patients under guardianship and/or conservatorship * Refusal of consent.
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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
4 sites. 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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AP HM, Hôpital La Timone
NOT_YET_RECRUITINGMarseille, 13385, France
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Centre Hospitalier Universitaire de Saint-Etienne
RECRUITINGSaint-Etienne, 42055, France
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Clinique Mutualiste
NOT_YET_RECRUITINGSaint-Etienne, 42000, France
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Hospices Civils de Lyon
NOT_YET_RECRUITINGLyon, 69000, 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