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A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients
Sponsor: Lanyue Zhu
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.
Official title: A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients: Development, Validation, and the Incremental Value of Frailty Assessment
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
10000
Start Date
2025-07-01
Completion Date
2026-12-31
Last Updated
2026-04-02
Healthy Volunteers
No
Conditions
Interventions
No intervention measures were used.
The exposure factors were the perioperative related operations experienced by the patients and their individual conditions
Locations (1)
Zhongda Hospital Southeast University
Nanjing, China