Trials / Recruiting
RecruitingNCT06427265
Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal Study
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 840 (estimated)
- Sponsor
- The Affiliated Hospital Of Guizhou Medical University · Academic / Other
- Sex
- All
- Age
- 18 Years – 100 Years
- Healthy volunteers
- Accepted
Summary
This project intends to track and evaluate whether post-ICU syndrome will occur 7 days, 1 month, 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study, apply the latent category growth model to identify different trajectory patterns of post-ICU syndrome in critically ill patients, and use modern machine learning models to build an early warning model of the trajectory patterns of post-ICU syndrome.
Conditions
Timeline
- Start date
- 2023-12-01
- Primary completion
- 2025-06-01
- Completion
- 2026-06-01
- First posted
- 2024-05-23
- Last updated
- 2025-05-31
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06427265. Inclusion in this directory is not an endorsement.