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

Recruiting

• Conditions: Sleep Disorder; Cognitive Impairment; Intensive Care Unit Syndrome; Prediction; Memory Disorders

• Registration Number: NCT06427265
• Lead Sponsor: The Affiliated Hospital Of Guizhou Medical University

Brief 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2023-12-01
• Study First Submitted: 2024-05-19
• Study First Submitted QC: 2024-05-19
• Study First Posted: 2024-05-23
• Status Verified: 2024-06
• Last Update Submitted: 2024-06-26
• Last Update Posted: 2024-06-27
• Primary Completion: 2025-06-01
• Study Completion: 2026-06-01

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 840

Inclusion Criteria

• Length of stay in ICU ≥24h;
• Age ≥18 years old;
• Conscious when leaving ICU, communicating with investigators without barriers;
• Informed consent.

Exclusion Criteria

• had been admitted to ICU for more than 24h within 3 months prior to this admission;
• Transferred to another ICU;
• There was cognitive impairment before ICU admission (BDRS > 4);
• Serious hearing impairment, dysarthria, etc., can not be followed up;
• Serious illness can not cooperate to complete the questionnaire.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Correlation scale score	2024.01-2026.06	Intensive Care Unit Memory Tool score\\Richards-Campbell Sleep Questionnaire score

Trial Locations

Locations (1)

Affiliated Hospital of Guizhou Medical University; 🇨🇳 GuiYang, Guizhou, China