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.
Study Type
OBSERVATIONAL
Enrollment
840
Affiliated Hospital of Guizhou Medical University
Guiyang, Guizhou, China
RECRUITINGCorrelation scale score
Patient: 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;
Time frame: 2024-2026
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