Status:
COMPLETED
Development of Synthetic Medical Data Generation Technology to Predict Postoperative Complications
Lead Sponsor:
Seoul National University Hospital
Conditions:
Acute Kidney Injury
Surgery-Complications
Eligibility:
All Genders
18+ years
Brief Summary
\<Development of synthetic medical data generation technology to predict postoperative complications\> In order to develop a model for predicting the occurrence of complications after surgery, it is ...
Eligibility Criteria
Inclusion
- Patients over 18 years.
- Non-cardiothoracic and non-vascular surgery from five departments (general surgery, obstetrics and gynecology (OBGY), urologic surgery, neurosurgery, and orthopedic surgery)
Exclusion
- 1\) no information of baseline (≤90 days before surgery) or follow-up (≤7 days after surgery) renal function
- 2\) exclusive surgery, including surgeries of deceased patients or surgery that directly affect renal function (partial or total nephrectomy, kidney transplantation)
- 3\) preoperative advanced kidney dysfunction, including preoperative serum creatinine (SCr) ≥4.0 mg/dL, baseline eGFR (estimated glomerular filtration rate) \<15 mL/min/1.73 m2, preoperative kidney replacement therapy history, or AKI history within 2 weeks of surgery
- 4\) surgery other than general or spinal anesthesia (local anesthesia or monitored anesthesia care)
- 5\) missing covariates.
Key Trial Info
Start Date :
March 26 2021
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
March 25 2023
Estimated Enrollment :
410000 Patients enrolled
Trial Details
Trial ID
NCT05986474
Start Date
March 26 2021
End Date
March 25 2023
Last Update
August 14 2023
Active Locations (1)
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1
Seoul National University Hospital
Seoul, South Korea