Predicting postoperative delirium and cognitive issues in elderly patients
Official title: Risk Warning Model of Postoperative Delirium and Long-term Cognitive Dysfunction in Elderly Patients Based on Autonomous Evolutionary Neural Network Algorithm
Run by Xuanwu Hospital, Beijing · NCT06423547 · Data updated 2026-11-12
This study is trying to find out what factors can predict confusion and memory problems after surgery in older patients to help doctors make better decisions and improve their care.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 65 Years to 100 Years |
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | Xuanwu Hospital, Beijing Academic / other |
| Locations | 1 site (Beijing) |
| Status | Recruiting |
| Started | July 30, 2024 |
| Main results expected | December 31, 2027 |
| Study ends | December 31, 2027 |
| Registry record updated | April 3, 2025 |
| Trial ID | NCT06423547 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients aged 65 and older who are undergoing surgical anesthesia.
✕Probably not a fit
Patients with a history of psychiatric or neurological disorders, or those unable to complete cognitive assessments, may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to identify risk factors for postoperative delirium and long-term cognitive dysfunction in elderly patients undergoing surgery. Utilizing artificial intelligence and an evolutionary neural network algorithm, the study will analyze multi-source clinical big data to develop a risk prediction model for these conditions. By integrating data from anesthesia machines, multi-parameter monitors, and brain function monitors, the research seeks to enhance decision-making in anesthesia and improve patient outcomes. The goal is to establish an early warning system for critical perioperative events that could lead to cognitive decline.
Why it matters
Potential benefit: If successful, this study could lead to improved early diagnosis and intervention strategies for preventing postoperative delirium and cognitive dysfunction in elderly patients.
How similar studies have gone: Other studies utilizing artificial intelligence for risk prediction in postoperative settings have shown promise, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients ≥65 years of age who have undergone surgical anesthesia; Sign informed consent Exclusion Criteria: * Inability to complete cognitive function assessment; Illiteracy, hearing impairment or visual impairment; He has a history of epilepsy, depression, schizophrenia, Alzheimer's disease and other psychiatric and neurological diseases
Where it's running
-
Xuanwu Hospital, Capital Medical University
Beijing, China Recruiting
Study contacts
- Principal investigator: yong yang — Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
- Study coordinator: lei zhao
- Email: zhaoalei@sina.com
- Phone: +8613811035886
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.