Clinical Trials in China / NCT07030166
Recruiting
Observational
A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients
NCT07030166 · tracked via the Priya Life Science China tracker
Condition(s) studied
Kidney Injury, Acute
Investigational drug(s) / intervention(s)
No intervention measures were used.
No intervention measures were used.: The exposure factors were the perioperative related operations experienced by the patients and their individual conditions
Study 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.
Eligibility
Inclusion Criteria:
* 18 years old or above
* Undergo non-cardiac surgery
Exclusion Criteria:
* At least one measurement of serum creatinine (SCr) was not conducted before and after the operation
* End-stage renal disease (ESRD) that has received dialysis within the past year
* Baseline SCr ≥ 4.5 mg/dl (because the clinical criteria for AKI based on elevated SCr may not be applicable to these patients)
* Acute kidney injury occurred within 7 days before the operation
* The surgical procedure is renal surgery
* The operation time is less than 2 hours
Primary outcome measure(s)
- Acute kidney injury — Within 7 days after the operation
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Zhongda Hospital Southeast University | Nanjing | China | Recruiting |
More Lanyue Zhu trials in China
Official registry record
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07030166 on ClinicalTrials.gov ↗ ← All trials in China