Predicting postoperative delirium and cognitive issues in elderly patients
Risk Warning Model of Postoperative Delirium and Long-term Cognitive Dysfunction in Elderly Patients Based on Autonomous Evolutionary Neural Network Algorithm
Xuanwu Hospital, Beijing · NCT06423547
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 |
|---|---|
| Enrollment | 10000 (estimated) |
| Ages | 65 Years to 100 Years |
| Sex | All |
| Sponsor | Xuanwu Hospital, Beijing (other) |
| Locations | 1 site (Beijing) |
| Trial ID | NCT06423547 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are patients aged 65 and older who are undergoing surgical anesthesia.
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.
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 performed: Other studies utilizing artificial intelligence for risk prediction in postoperative settings have shown promise, indicating potential success for this approach.
Eligibility criteria
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 this trial is running
Beijing
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Postoperative Delirium, Postoperative Neurocognitive Disorder, Surgery, postoperative delirium, postoperative neurocognitive disorder, risk prediction model, artificial intelligence, evolutionary neural network