Actively Recruiting
A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients
Led by Lanyue Zhu · Updated on 2026-04-02
10000
Participants Needed
1
Research Sites
78 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 18 years old or above
- Undergo non-cardiac surgery
You will not qualify if you...
- No serum creatinine measurement before and after the operation
- End-stage renal disease requiring dialysis within the past year
- Baseline serum creatinine 4.5 mg/dl or higher
- Acute kidney injury occurred within 7 days before the operation
- Surgical procedure is renal surgery
- Operation time is less than 2 hours
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Zhongda Hospital Southeast University
Nanjing, China
Actively Recruiting
Research Team
Y
Yue Lan Zhu
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here