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
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?
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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-
Rio Grande do Sul
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Porto Alegre, Rio Grande do Sul, Brazil, 90035-903
- Hospital de Clínicas de Porto Alegre, Intensive Care Nursing Department
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Patients in follow-up
Patients under follow-up.
No interventions were performed
|
No interventions were performed.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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.
|
3rd, 6th and 12th months after ICU discharge
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Return to Work
Time Frame: 3rd, 6th and 12th months after ICU discharge
|
Being employed
|
3rd, 6th and 12th months after ICU discharge
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 20250554
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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