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Construction and Validation of a Machine Learning Prediction Model for Composite Postoperative Adverse Events in Day-Case Laparoscopic Surgery under General Anesthesia

Construction and Validation of a Machine Learning Prediction Model for Composite Postoperative Adverse Events in Day-Case Laparoscopic Surgery under General Anesthesia

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600118546
Enrollment
Unknown
Registered
2026-02-06
Start date
2026-03-01
Completion date
Unknown
Last updated
2026-02-09

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

Conditions

None

Interventions

Observation group:None

Sponsors

The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Patients aged =18 years and =80 years scheduled for elective laparoscopic surgery under general anesthesia (cholecystectomy, appendectomy, or hernia repair). 2. ASA physical status classification I–III. 3. Complete case information (preoperative baseline data, type of surgery, duration of surgery, and main postoperative outcome measures). 4. Admission to the day-care ward within 24 hours.

Exclusion criteria

Exclusion criteria: 1. Surgery type not eligible (conversion to open surgery, combined pelvic surgery, etc.). 2. Patients with severe cardiac, pulmonary, hepatic, renal, or cerebral dysfunction, and pregnant or postpartum patients. 3. Patients with >20% missing rate of key variables. 4. Patients experiencing severe intraoperative bleeding, cardiac arrest, or postoperative transfer to the intensive care unit due to illness. 5. Patients undergoing multiple surgeries during the study period; only the first surgery is included. 6. Emergency surgery.

Design outcomes

Primary

MeasureTime frame
Composite postoperative adverse events (blood pressure abnormalities, PONV, moderate-to-severe pain requiring intervention);

Countries

China

Contacts

Public ContactYao Yangyang

The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University

yangyang_yao24@126.com+86 158 7268 2017

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 15, 2026