New algorithm could help ICU patients get the right rehab at the right time
NCT ID NCT06532994
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times
Summary
This study aims to create a prediction tool that helps doctors decide which ICU patients who have been on a breathing machine will benefit most from early rehabilitation. Researchers will collect data from 250 patients and use machine learning to build an algorithm. The goal is to improve recovery and reduce complications by targeting rehab to those who need it.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- early rehabilitation intervention (physical and cognitive therapy tailored to patient's consciousness and cooperation level)
- What this could lead to
- If successful, this could help doctors identify which ICU patients are most likely to benefit from early rehab, leading to better recovery and shorter hospital stays.
- What could go wrong
- This is an early-stage observational study, not a treatment trial. The algorithm may not work for all patients or in different hospitals, and it won't directly improve health on its own.
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 250 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Aug 2024
- Expected to finish
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Dec 2026
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
ICU patients received mechanical ventilation and early rehabilitation interventions, regardless of the primary diagnosis.
- Ages
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18 to 90 years
- 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: 1. Age older than 18 years; 2. Received mechanical ventilation, including endotracheal intubation and tracheostomy, during ICU admission; 3. Met the rehabilitation intervention indications outlined in the "Chinese Expert Consensus on Neurocritical Rehabilitation" during ICU admission and underwent corresponding early rehabilitation interventions, including but not limited to arousal therapy for consciousness disorders, early active/passive mobilization, comprehensive pulmonary rehabilitation, etc.; 4. No mortality events occurred during ICU admission; 5. Informed consent form signed by family members or the patient. Exclusion Criteria: 1. Pediatric patients under 18 years of age; 2. Hospitalized patients in the ICU who did not receive mechanical ventilation; 3. Patients in the ICU who did not undergo early rehabilitation interventions; 4. mortality events occurred during ICU admission; 5. Patients transferred out of the ICU due to treatment abandonment by family members; 6. Family refusal to sign the informed consent form or patient refusal to sign the informed consent form when conscious and competent.
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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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Zhongnan hospital of Wuhan University
RECRUITINGWuhan, Hubei, 430070, China
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