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

Sponsor

The Affiliated Hospital Of Guizhou Medical University

Enrollment

840 participants

Start Date

Dec 1, 2023

Study Type

OBSERVATIONAL

Conditions

Cognitive Impairment Sleep Disorder Memory Disorders Intensive Care Unit Syndrome Prediction

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.

Eligibility

Min Age: 18 YearsMax Age: 100 Years

Inclusion Criteria8

Length of stay in ICU ≥24h;
Age ≥18 years old;
Conscious when leaving ICU, communicating with investigators without barriers;
Informed consent. Family members：
One family member ≥18 years of age was selected for each patient;
Assume the main role of caring for patients and medical decision-making;
No history of mental illness or other serious organic diseases;
Informed consent and voluntary participation in this study.

Exclusion Criteria8

Have been in ICU for more than 24h within 3 months before this admission;
Transferred to another ICU;
Cognitive impairment existed before ICU admission (BDRS \> 4 points);
Severe hearing impairment, dysarthria, etc., which cannot be followed up;
Unable to complete the questionnaire survey due to serious illness.
Family members:
Family members refuse to participate in the study due to their own reasons;
Severe hearing and language impairment, unable to cooperate with researchers.

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Locations(1)

Affiliated Hospital of Guizhou Medical University

Guiyang, Guizhou, China

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NCT06427265

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