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Constructing a predictive model for periopertative complications of digestive endoscopy in elderly patients based on machine learning

Constructing a predictive model for periopertative complications of digestive endoscopy in elderly patients based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113826
Enrollment
Unknown
Registered
2025-12-03
Start date
2026-01-01
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

None

Interventions

Perioperative Complications Group:None
Non-Perioperative Complications Group:None

Sponsors

Shanghai Xuhui Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
65 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 65 years; 2. Undergoing gastrointestinal endoscopic procedures (including but not limited to upper gastrointestinal endoscopy, lower gastrointestinal endoscopy, small intestine endoscopy, and biliary and pancreatic duct endoscopy); 3. ASA classification I–III.

Exclusion criteria

Exclusion criteria: 1.Emergency conversion from endoscopic gastrointestinal surgery to alternative surgical approaches due to procedure failure; 2.Anesthesia was not administered due to strong patient preference, documented history of anesthesia drug allergy, or other contraindications.

Design outcomes

Primary

MeasureTime frame
Perioperative complications include cardiovascular, neurological, respiratory, digestive, and urinary system complications;—

Countries

China

Contacts

Public ContactIlyar Mamtili

Shanghai Xuhui Central Hospital

24139207@qq.com+86 13918309544

Outcome results

None listed

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