About this trial
Postoperative acute kidney injury (AKI) is a serious complication often linked to low blood pressure during surgery. This study aims to better protect patients' kidneys by personalizing how blood pressure is managed during an operation.
The project has two main goals:
First, researchers will analyze data from over 44,000 past surgeries to identify which specific blood pressure measurements are the most critical warning signs for kidney damage.
Second, using this knowledge, they will build a smart tool (a machine learning model) to predict a unique, safe blood pressure target for each individual patient before their surgery begins.
This personalized approach is intended to give doctors a specific target to maintain during surgery, helping to prevent kidney injury and improve patient safety.
Eligibility criteria
Qualifiers
Patients undergoing non-cardiac surgery
Access to intraoperatively available invasive/noninvasive blood pressure monitoring data
Disqualifiers
Patients for Age < 18 yr
Patients without preoperative or postoperative creatinine records
Patients undergoing urinary surgeries
Patients with chronic kidney injury before surgery
Trial design
Treatments tested in this trial
- Not listed
Trial groups
Sponsors and collaborators
Lanyue Zhu
Lead sponsor
Zhongda Hospital
Sponsor institution