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Establishment of a predictive model for postoperative delirium in patients undergoing gastrointestinal surgery based on machine learning

Establishment of a predictive model for postoperative delirium in patients undergoing gastrointestinal surgery based on machine learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400085566
Enrollment
Unknown
Registered
2024-06-12
Start date
2024-06-15
Completion date
Unknown
Last updated
2025-10-27

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

Conditions

postoperative delirium

Interventions

Gold Standard:Postoperative delirium evaluation was performed based on the subject's medical records and follow-up data of postoperative anesthesia, and Confusion Assessment Method(CAM)score >= 20
Index test:Model based on machine learning.

Sponsors

Jiangsu Subei People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >=18 years old 2. Patients undergoing gastrointestinal surgery

Exclusion criteria

Exclusion criteria: 1. The medical record contains any signed documents refusing to be used for medical research 2. Patients who have lost follow-up or have incomplete data 3. Patients who died after the operation

Design outcomes

Primary

MeasureTime frame
Area under ROC curve;—

Secondary

MeasureTime frame
Sensitivity;Specificity;Accuracy;Joden index;Recall;F1 score;Brier score;Matthews correlation coefficient(MCC);Kappa Coefficient;Logarithmic Loss(Log Loss);—

Countries

China

Contacts

Public ContactYali Ge

Jiangsu Subei People's Hospital

happygezi81@163.com+86 180 5106 1135

Outcome results

None listed

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