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OpenTrials
Completed

NCT Number: NCT07616388

Machine Learning Model for Predicting Recovery After Critical Illness

This study aims to develop and test an artificial intelligence (AI) model to predict long-term functional status and return to work after critical illness.

The main question is:

Can we develop and validate a machine learning model to predict long-term functional status and return to work after critical illness?

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Key information

Conditions

Funcional Status Critical Illness Disease Attributes Pathologic Processes Pathological Conditions, Signs and Symptoms Predictive Learning Models Return to Work postintensive care syndrome

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Hospital de Clínicas de Porto Alegre, Intensive Care Nursing Department

Porto Alegre, Rio Grande do Sul, 90035-903, Brazil

About this study

This is a retrospective observational study using secondary data from two primary studies conducted between 2017-2019 and 2020-2022. No new participants will be recruited. Data were combined and harmonized for the present secondary analysis.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

No interventions were performed.

Other

No interventions were performed.

Primary outcomes

  1. Functional Status

    Time frame: 3rd, 6th and 12th months after ICU discharge

    The primary outcome will be functional status at 6 months after ICU discharge, assessed using the Barthel Index (BI). The BI is a validated measure of functional status in activities of daily living, with total scores ranging from 0 to 100. For prediction modeling, the outcome will be treated as a binary variable, with functional impairment defined as a BI score <91 points.

Secondary outcomes

  1. Return to Work

    Time frame: 3rd, 6th and 12th months after ICU discharge

    Being employed

Sponsors and collaborators

Lead sponsor

Hospital de Clinicas de Porto Alegre

Other

Collaborators

  • Federal University of Rio Grande do Sul
  • Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Brazil

Registry information

Official study title

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

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Jun 1, 2026
Registry last updated
Jun 10, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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