Electroencephalogram Predicts Post-operative Delirium

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorBeijing Sanbo Brain Hospital

About this trial

The goal of this observational study is to investigate the predictive value of sub-hairline electroencephalography (EEG) during anesthesia recovery for postoperative delirium (POD). The main question to be answered is:

* Can sub-hairline EEG measured during anesthesia recovery serve as a reliable predictor of POD? Adult patients undergoing elective craniotomy and admitted to the ICU will be enrolled. Sub-hairline EEG will be monitored until ICU discharge.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Age ≥ 18 years

Planned elective neurosurgical surgery

ASA physical status I-II

Signed informed consent

Disqualifiers

Known neurological or psychiatric disorders (e.g., epilepsy, Parkinson's disease)

Preoperative cognitive impairment (MMSE score < 24)

Long-term use of central nervous system drugs (e.g., antidepressants, antipsychotics)

Language barriers

Trial population

The study will recruit participants from patients scheduled for elective neurosurgical procedures at Sanbo Brain Hospital, Capital Medical Universtiy in Beijing, China. The population will consist of adult patients aged ≥18 years who are classified as ASA physical status I-II, indicating generally healthy individuals or those with mild systemic disease. Participants will be identified through pre-surgical assessments and referred by their attending neurosurgeons for enrollment in the study. This cohort will be selected from those undergoing elective craniotomy. Eligible participants will be consented prior to surgery, and sub-hairline EEG monitoring will be initiated during the early anesthesia recovery phase in the ICU.

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • Sub-hairline EEG Monitoring

    Diagnostic test

    Participants will receive standard postoperative care as per institutional protocols, including neuromonitoring, delirium screening, and ICU management. The study will not alter or assign any treatments but will analyze the association between sub-hairline EEG parameters and postoperative delirium (POD) outcomes

Treatment groups

137 Participants
are divided into 2 treatment groups
Group A: POD group1 intervention
Group B: Non-POD group1 intervention

Trial outcomes

Primary outcomes

1

Incidence of Postoperative Delirium (POD)

The primary outcome of this study is to assess whether sub-hairline EEG parameters recorded during anesthesia recovery can reliably predict the incidence of postoperative delirium (POD) within the first 7 days following elective craniotomy.

Time frame
Within 7 days post-surgery

Secondary outcomes

1

Spectral power of Sub-Hairline EEG theta wave

To evaluate whether changes in sub-hairline EEG parameters (e.g., spectral power, burst suppression ratio, and connectivity metrics) during the early postoperative period are associated with the onset and severity of POD.

Time frame
Within 7 days post-surgery
2

Hospital Length of Stay

To investigate if the use of sub-hairline EEG during anesthesia recovery correlates with the length of ICU and total hospital stay.

Time frame
through study completion, an average of 30 days
3

Incidence of Postoperative Complications (PPCs)

To evaluate the incidence of postoperative complications, including pneumonia, atelectasis, brain ischemia, edema, and haemorrhage, and whether these are correlated with sub-hairline EEG parameters.

Time frame
through study completion, an average of 1 week
4

Analysis of EEG Patterns and Delirium Onset

To explore any correlation between specific sub-hairline EEG patterns (e.g., burst suppression ratio, alpha or theta waves) and the early onset of delirium.

Time frame
through study completion, an average of 1 week

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Beijing Sanbo Brain Hospital

Lead sponsor

Capital Medical University

Sponsor institution