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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

840 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-12-01

Study Completion Date

2026-06-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Machine Learning Predictive Models for Sepsis Risk in ICU Patients With Intracerebral Hemorrhage

NCT06326385

Intracerebral Hemorrhage Sepsis

NOT_YET_RECRUITING

To Construct a Prognosis Prediction Model for ECMO Patients Based on Machine Learning Algorithms

NCT06654388

ECMO

COMPLETED

Prognostic Modelling for Prediction of Mortality and Functional Disability in Critically-ill Elderly Patients

NCT06163976

Older Adults ICU Mortality Prediction +1 more

RECRUITING

Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study

NCT07141420

Post-Intensive Care Syndrome

ENROLLING_BY_INVITATION NA

Intensive Care Unit Risk Score

NCT04661735

Mortality in Intensive Care Units Complications Infection Alarm Fatigue

RECRUITING

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Intensive Care Unit Syndrome Prediction Cognitive Impairment Sleep Disorder Memory Disorders

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 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 Criteria

* 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.

Minimum Eligible Age

18 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes