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Prediction of postoperative delirium in elderly patients with hip fracture surgery based on EEG signal analysis of machine learning algorithm

Prediction of postoperative delirium in elderly patients with hip fracture surgery based on EEG signal analysis of machine learning algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099587
Enrollment
Unknown
Registered
2025-03-26
Start date
2023-12-08
Completion date
Unknown
Last updated
2025-03-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Postoperative delirium

Interventions

delirium:none
non-delirium:none

Sponsors

Xuzhou Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients >= 60 years of age who are scheduled to undergo hip fracture surgery under general anesthesia.

Exclusion criteria

Exclusion criteria: Patients and their families refused to participate in the study; Severe dementia, speech impairment, severe hearing or vision impairment, coma, end-stage disease and other conditions could not complete part of the preoperative evaluation content; inability to complete a cognitive function assessment (defined as: preoperative mini-mental state examination (MMSE) score illiteracy below 16, primary school (education 6 years) less than 25 points); Emergency surgery.

Design outcomes

Primary

MeasureTime frame
Preoperative electroencephalographic alpha power;Intraoperative electroencephalographic alpha power;Intraoperative electroencephalographic alpha peak frequency;accuracy;sensitivity;specificity;—

Secondary

MeasureTime frame
Preoperative electroencephalographic alpha peak frequency;—

Countries

China

Contacts

Public ContactMeiyan Zhou

Xuzhou Central Hospital

zhoumeiyandoctor@126.com+86 177 1298 8959

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026