Perioperative EEG variability and risk of postoperative delirium
Official title: Correlation Between Multiscale Entropy Analysis of Electroencephalograms and Postoperative Delirium Incidence.
Run by Hainan Medical College · NCT07323940 · Data updated 2026-11-12
This study will see if patterns in EEG recordings before and during surgery can identify older patients at risk for postoperative delirium.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 65 Years and up |
| Sex | All |
| Enrollment | 90 (estimated) |
| Sponsor | Hainan Medical College Academic / other |
| Locations | 1 site (Haikou) |
| Status | Recruiting |
| Started | December 12, 2025 |
| Main results expected | December 12, 2027 |
| Study ends | December 12, 2027 |
| Registry record updated | April 16, 2026 |
| Trial ID | NCT07323940 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are patients aged 65 or older having surgery under general anesthesia with a single-lumen endotracheal tube, BMI 18–28 kg/m², ASA I–II, Mallampati I–II, and able to cooperate with delirium screening.
✕Probably not a fit
Patients with severe organ disease, psychiatric or communication barriers, those undergoing cardiac or neurosurgery, recent sedative or opioid use, low hemoglobin, or recent trial participation are unlikely to benefit from this protocol.
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 records preoperative and intraoperative electroencephalogram (EEG) data from patients aged 65 and older undergoing general anesthesia with a single-lumen endotracheal tube. Multiscale entropy analysis will be applied to EEG signals to compare temporal complexity between patients who develop postoperative delirium and those who do not. Key exclusions include severe organ dysfunction, psychiatric or communication barriers, cardiac or neurosurgical procedures, recent sedative or opioid use, low hemoglobin, and recent participation in other clinical research. The aim is to find EEG-based signatures that could enable earlier recognition of postoperative delirium.
Why it matters
Potential benefit: If successful, this approach could enable earlier detection of delirium after surgery and prompt interventions to reduce complications and length of stay.
How similar studies have gone: Some prior research has linked EEG complexity measures to delirium risk, but using multiscale entropy perioperatively as a practical screening tool remains exploratory.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Patients undergoing general anaesthesia with single-lumen endotracheal tube placement; 2. Age ≥65 years, gender unrestricted, body mass index (BMI) 18-28 kg/m²; 3. Normal mouth opening and head/neck mobility; 4. Pre-anaesthesia American Society of Anaesthesiologists (ASA) physical status classification of I or II and Mallampati airway classification of I or II. Exclusion Criteria: 1. Individuals with psychiatric disorders, literacy issues, or communication difficulties who are unable to cooperate with POD screening; 2. Patients with severe lesions in vital organs, such as the heart, lungs, brain, liver or kidneys. 3. Those undergoing cardiac or neurosurgical procedures during this admission; 4. A history of alcohol abuse or recent use of sedatives or opioids; 5. haemoglobin \<100 g/L; 6. Participation in any clinical research studies within the past 3 months.
Where it's running
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Department of Anesthesiology,the Second Affiliated Hospital of Hainan Medical University
Haikou, China Recruiting
Study contacts
- Study coordinator: Fu Dr.chen
- Email: Dr_chen1699@163.com
- Phone: 8617378224751
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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.