Actively Recruiting
A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients: Development, Validation, and the Incremental Value of Frailty Assessment
Led by Lanyue Zhu · Updated on 2026-04-02
10000
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are developing and validating a machine learning model to predict acute kidney injury (AKI) after non-cardiac surgery in adult patients. The study also aims to assess whether including frailty status as a new factor improves the model's ability to predict AKI. This observational study uses data collected from patients undergoing various types of non-cardiac surgeries. The study uses two sets of data: retrospective data from adult patients who had non-cardiac surgery between July 2015 and June 2025, and prospective data collected from July 2025 to February 2026. The retrospective data helped develop and optimize the model using multiple machine learning techniques and a wide range of patient and surgical information. The prospective data includes frailty assessments and will be used to validate and update the model. Participants' information such as demographics, lab tests, comorbidities, and surgical details are collected from electronic medical records. For the prospective group, frailty status and outcomes like postoperative complications, mortality, hospital stay length, and costs are recorded. The primary outcome measured is acute kidney injury within 7 days after surgery. The study tracks these outcomes during the perioperative period to evaluate the model's performance and value of frailty assessment.
CONDITIONS
Brief 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 measurement of serum creatinine before and after the operation
- End-stage renal disease treated with dialysis within the past year
- Baseline serum creatinine equal to or greater than 4.5 mg/dl
- Acute kidney injury occurred within 7 days before the operation
- The 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
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
Duration - Up to the duration of hospitalization
Participants undergo data collection including demographic characteristics, laboratory tests, comorbidities, and surgical information before and during their non-cardiac surgery hospitalization.
Data collected from hospital records during admission and surgery
Duration - Up to 7 days after surgery and throughout hospitalization
Participants' postoperative outcomes such as acute kidney injury, complications, mortality, hospital stay, and costs are monitored during the perioperative period.
Observations made during hospital stay including up to 7 days post-operation
Trial Site Locations
Total: 1 location
1
Zhongda Hospital Southeast University
Nanjing, China
Actively Recruiting
Research Team
Y
Yue Lan Zhu
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
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