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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

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
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06427265
Enrollment
840
Registered
2024-05-23
Start date
2023-12-01
Completion date
2026-06-01
Last updated
2025-05-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cognitive Impairment, Intensive Care Unit Syndrome, Memory Disorders, Prediction, Sleep Disorder

Keywords

Post-icu syndrome, Prediction model, Development Trajectory

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.

Interventions

None listed

Sponsors

Chinese nursing association
CollaboratorUNKNOWN
The Affiliated Hospital Of Guizhou Medical University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
Yes

Inclusion criteria

patients : * 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

patients : * 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.

Design outcomes

Primary

MeasureTime frameDescription
Correlation scale score2024-2026Patient: 1. Post-icu syndrome assessment of ICU survivors: Healthy Aging Brain Care monitoring(HABC Monitor) score; 2. ICU related Memory: Intensive Care Unit Memory Tool (ICUMT); 3. Sleep quality: Richards-Campbell Sleep Questionnaire (RCSQ); 4. Perceived Social Support Scale (PSSS). Family members: 1. Sleep quality of family members: Richards-Campbell Sleep Questionnaire (RCSQ); 2. anxiety and Depression of family members: Hospital anxiety and Depression Scale score; 3. Family fatigue: Scores of fatigue rating Scale; 4. PTSD of family members: Event Impact Scale score;

Countries

China

Contacts

Primary ContactTingrui WANG
W19117899885@163.com19117899885

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026