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Development and validation of a predictive model for postoperative cognitive dysfunction in elderly patients using machine learning algorithms: a multicenter, prospective cohort study

Development and validation of a predictive model for postoperative cognitive dysfunction in elderly patients using machine learning algorithms: a multicenter, prospective cohort study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200065968
Enrollment
Unknown
Registered
2022-11-21
Start date
2022-11-28
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Postoperative cognitive dysfunction

Interventions

Single observational group:None

Sponsors

Xiangya Hospital of Central South University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
65 Years to 120 Years

Inclusion criteria

Inclusion criteria: 1. Patients who plan to undergo elective laparoscopic surgery; 2. Aged >= 65 years; 3. ASA grad I-III.

Exclusion criteria

Exclusion criteria: 1. Dementia; 2. Delirium; 3. Schizophrenia or other psychiatric history; 4. History of alcoholism or alcohol withdrawal; 5. Blindness; 6. Severe deafness; 7. Inablity to communicate in Chinese; 8. Participating in other clinical trials in the last 3 months.

Design outcomes

Primary

MeasureTime frame
Postoperative cognitive dysfunction;—

Countries

China

Contacts

Public ContactHuang Changsheng

Xiangya Hospital of Central South University

changsheng.huang@csu.edu.cn+86 15974172150

Outcome results

None listed

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