AI model forecasts who returns to work after ICU
NCT ID NCT07616388
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study used artificial intelligence to predict how well people recover after a stay in the intensive care unit (ICU). Researchers looked at data from over 2,000 adults to see if a computer model could forecast who would have trouble with daily activities or return to work six months later. The goal was to create a tool that helps doctors plan better care, not to test a new treatment.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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2,016 people
The number who actually took part.
- Started
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Mar 2026
- Finished
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Apr 2026
- 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
Ten medical-surgical ICUs representing the five geopolitical regions of Brazil were selected as study sites. This study includes data from two databases with similar inclusion and exclusion criteria.
- 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: * Age ≥18 years * ICU stay ≥ 72 hours * ICU stay ≥ 120 hours if the participant was admitted for elective surgery Exclusion Criteria: * No telephone contact available * Failure to establish contact * Transfer to another ICU
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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.
Contacts and locations
Locations
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Hospital de Clínicas de Porto Alegre, Intensive Care Nursing Department
Porto Alegre, Rio Grande do Sul, 90035-903, Brazil
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Other studies related to the condition(s) this trial covers.
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