A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients

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.

NCT Number	NCT07030166
Lead Sponsor	Lanyue Zhu
Conditions	Kidney Injury, Acute
Enrollment	10,000 participants
Start Date	2025-07-01
Primary Completion	2026-12-31 (estimated)
Study Completion	2026-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-04-02