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AI could spot sepsis earlier from routine hospital data

NCT ID NCT05383963

Diagnosis Sponsor: Charite University, Berlin, Germany Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looks at using a computer algorithm to quickly diagnose sepsis and septic shock from routine hospital data. Researchers will analyze information from 10,000 ICU patients to see if the algorithm can speed up diagnosis and improve patient outcomes. The goal is to help doctors identify sepsis earlier without extra tests.

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 lead to a faster, more accurate way to diagnose sepsis using data already collected in hospitals, potentially saving lives.
What could go wrong
This is an observational study, not a treatment trial. The algorithm may not work as well in real-world settings or may not improve outcomes as hoped.

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

About 10,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jul 2022

Expected to finish

Dec 2027

An estimate. End dates often move.

Lead sponsor

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

Intensive care unit patients (female, male, miscellaneous) from the age of 18 years with an intensive care stay of \> 24 hours in an intensive care unit since 01. 01. 2007 from the Department of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK)

Ages

18 years and older

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * age \>= 18 years * ICU stay of \> 24 hours Exclusion Criteria: * none

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Conditions

The condition(s) this trial relates to.

infectious disease with sepsis Sepsis toxic shock syndrome

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Sepsis Septic shock

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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

  • Department of Anesthesiology and Operative Intensive Care Medicine CCM/CVK, Charité - Universitätsmedizin Berlin

    RECRUITING

    Berlin, 13353, Germany

More trials for these conditions

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