Status:
UNKNOWN
Artificial Intelligence and Postoperative Acute Kidney Injury
Lead Sponsor:
Seoul National University Hospital
Conditions:
Non-cardiac Surgery
Eligibility:
All Genders
18+ years
Brief Summary
The main objective of this study is to develop and validate an artificial intelligence model that predicts postoperative acute kidney injury.
Detailed Description
Postoperative acute kidney injury is known to increase the length of hospital stay and healthcare cost. A lot of risk prediction models have been developed for identifying patients at increased risk o...
Eligibility Criteria
Inclusion
- Adults patients undergoing non-cardiac surgery
Exclusion
- Age under 18 years
- Surgery duration \< 1 hour
- Transplantation surgery
- Nephrectomy
- Cardiac surgery
- Patients who had severe kidney dysfunction preoperatively as follows:
- Serum creatinine ≥ 4 mg/dl
- Estimated glomerular filtration rate \<15 ml/min/1.73m2
- History of renal replacement therapy
- Patients who had no results of preoperative or postoperative serum creatinine
Key Trial Info
Start Date :
March 1 2021
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
February 1 2022
Estimated Enrollment :
2000 Patients enrolled
Trial Details
Trial ID
NCT04705064
Start Date
March 1 2021
End Date
February 1 2022
Last Update
January 12 2021
Active Locations (1)
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1
Hyung-Chul Lee
Seoul, South Korea