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AI predicts ICU dangers from old records

NCT ID NCT07317817

Knowledge-focused Sponsor: Chongqing Medical University Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 looked at anonymous medical records from over 55,000 past ICU patients to find patterns that could help predict three life-threatening conditions: sepsis (body-wide infection), ARDS (severe lung injury), and acute kidney injury. Researchers used computer models to analyze data like vital signs and lab results from the first 24 hours in the ICU. No new treatments were tested, and no patients were contacted. The goal is to help doctors identify high-risk patients earlier.

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

55,940 people

The number who actually took part.

Started

Oct 2017

Finished

Jan 2024

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

A retrospective cohort of critically ill adult patients admitted to the intensive care unit (ICU). The study population will be derived from de-identified electronic health records.

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: * Adult patients (age ≥ 18 years). * Admitted to the ICU with a length of stay ≥ 24 hours. * Availability of key clinical variables within the first 24 hours of ICU admission (e.g., vital signs, laboratory results, admission diagnosis). Exclusion Criteria: * Patients with incomplete or missing key data for model variables (e.g., missing baseline creatinine, or missing Sequential Organ Failure Assessment (SOFA) score components). * Patients admitted for palliative care or comfort measures only upon ICU admission. * Readmissions during the same hospitalization (only the first ICU admission will be included).

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Conditions

The condition(s) this trial relates to.

acute kidney injury acute lung injury acute respiratory distress syndrome infectious disease with sepsis Sepsis

As listed by the trial registrant

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

AKI - acute kidney injury ARDS (acute respiratory distress syndrome) Sepsis

Contacts and locations

Locations

  • Chongqing Medical University

    Chongqing, Chongqing Municipality, 400016, China

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