# 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

> **NCT06427265** · — · RECRUITING · sponsor: **The Affiliated Hospital Of Guizhou Medical University** · enrollment: 840 (estimated)

## Conditions studied

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

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06427265
- **Lead sponsor:** The Affiliated Hospital Of Guizhou Medical University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2023-12-01
- **Primary completion:** 2025-06-01
- **Final completion:** 2026-06-01
- **Target enrollment:** 840 (ESTIMATED)
- **Last updated:** 2025-05-31

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06427265

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06427265, "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". Retrieved via AI Analytics 2026-06-26 from https://api.ai-analytics.org/clinical/NCT06427265. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*