CompletedNCT07616388

Development and Validation of a Machine Learning Model for Predicting Functional Decline and Return to Work After Critical Illness

Sponsor: Hospital de Clinicas de Porto Alegre

Trial Details

Condition	Funcional Status, Return to Work, Predictive Learning Models
Intervention	No interventions were performed.
Status	Completed
Participants	2,016
Est. Completion	20 Mar 2026
Last Updated	10 June 2026

Primary Outcome

Functional Status

Eligibility Criteria

Inclusion Criteria

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

Trial Sites

Countries

Brazil

View Registry Entry

Related Analysis

Brazilian Researchers Complete Landmark Study on Predicting Post-ICU Recovery — Machine Learning Model Shows Promise for Clinical Decision-Making

Brazilian researchers have completed a landmark study of over 2,000 ICU patients, developing machine learning models to predict functional decline and return-to-work outcomes after critical illness. The research addresses a critical gap in post-ICU care planning and could transform rehabilitation decision-making.

Read full article →

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