What this means
Researchers plan to build a computer tool that predicts kidney injury after surgery. The study is still recruiting, so no results are available yet.
Plain-English summary written by an AI model from the registry listing.
- Status
- Recruiting
- Who can join
- Ages 18 and over
- Where
- 1 site
The science
- Registered title
- A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients
- Trial ID
- NCT07030166 ↗
- Phase
- Not applicable
- Study type
- observational
- Conditions
- Kidney Injury, Acute
- What is tested
- No intervention measures were used.
- Sponsor
- Lanyue Zhu
- Ages
- 18 Years to no maximum
- Dates
- First posted Jun 22, 2025 · updated Apr 2, 2026
Registry summary
Primary objectives of this study is to develop and validate a predictive model for acute kidney injury after non-cardiac surgery based on machine learning. Secondary objectives of this study is to incorporate frailty assessment as a new predictor into the model and measure its incremental value was measured.
Sites (1)
- Zhongda Hospital Southeast University, Nanjing, China