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Machine learning model for postoperative neurocognitive disorder in non cardiac surgery

Machine learning model for postoperative neurocognitive disorder in non cardiac surgery

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099034
Enrollment
Unknown
Registered
2025-03-18
Start date
2025-04-15
Completion date
Unknown
Last updated
2025-03-24

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

Conditions

Postoperative neurocognitive disorder

Interventions

PND group:None
Non-PND group:None

Sponsors

The First Affiliated Hospital of Xiamen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
65 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Preoperative Mini Mental State Examination (MMSE) score>24 points; 2. Age >= 65 years old; 3. Patientsundergoing elective non cardiac surgery; 4. The American Society of Anesthesiologists (ASA) grades I-III.

Exclusion criteria

Exclusion criteria: 1. Have a history of severe neurological or psychiatric diseases; 2. Severe audio-visual impairment affecting the assessment; 3. History of sedative or antidepressant use; 4. Patients diagnosed with delirium by the Delirium Assessment Scale (CAM) preoperatively.

Design outcomes

Primary

MeasureTime frame
Visual reproduction test score;Wechsler memory scale score;Symbol digit test score;Digit span test score;Color trail test score;Telephone interview for cognitive status-modified score;—

Countries

China

Contacts

Public ContactHuang Huifan

Department of Anesthesiology of the First Affiliated Hospital of Xiamen University

hf1575931353@163.com+86 150 7318 3594

Outcome results

None listed

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