Machine Learning Model for Predicting Recovery After Critical Illness

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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07616388

Enrollment

2016

Registered

2026-06-01

Start date

2026-03-15

Completion date

2026-04-15

Last updated

2026-06-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Funcional Status, Predictive Learning Models, Return to Work

Keywords

Return to Work, Funcional Status, Intensive Care, Recovery, Critical Illness, Machine Learning, Post-intensive Care Syndrome, Critical Care

Brief summary

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?

Detailed description

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.

Interventions

OTHERNo interventions were performed.

No interventions were performed.

Study design

Observational model

COHORT

Time perspective

OTHER

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
Functional Status	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

Measure	Time frame	Description
Return to Work	3rd, 6th and 12th months after ICU discharge	Being employed

Countries

Brazil

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 11, 2026