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

Launched by THE AFFILIATED HOSPITAL OF GUIZHOU MEDICAL UNIVERSITY · May 19, 2024

Keywords

ClinConnect Summary

This clinical trial is studying a condition called post-ICU syndrome, which can happen to patients after they leave the Intensive Care Unit (ICU). Researchers want to see how this syndrome develops over time—specifically, they will check in with patients at 7 days, 1 month, 3 months, and 6 months after leaving the ICU. They will use advanced computer models to identify different patterns of how this syndrome affects people and to create an early warning system that can help spot these changes quickly.

To participate in this study, individuals must be at least 18 years old, have stayed in the ICU for at least 24 hours, and be able to communicate clearly when leaving the ICU. However, people who had a serious illness before this ICU stay or who have significant hearing or speech issues will not be eligible. Participants can expect to be involved in regular follow-ups where they will answer questions about their health and well-being as the researchers gather important information to improve care for future patients.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Length of stay in ICU ≥24h;
• • Age ≥18 years old;
• • Conscious when leaving ICU, communicating with investigators without barriers;
• • Informed consent.
• Exclusion Criteria:
• • had been admitted to ICU for more than 24h within 3 months prior to this admission;
• • Transferred to another ICU;
• • There was cognitive impairment before ICU admission (BDRS \> 4);
• • Serious hearing impairment, dysarthria, etc., can not be followed up;
• • Serious illness can not cooperate to complete the questionnaire.

Trial Officials