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
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria:
1. Patients undergoing non-cardiac surgery
2. Access to intraoperatively available invasive/noninvasive blood pressure monitoring data
Exclusion Criteria:
1. Patients for Age \< 18 yr
2. Patients without preoperative or postoperative creatinine records
3. Patients undergoing urinary surgeries
4. Patients with chronic kidney injury before surgery
5. ASA grade \> 5 class
6. Anesthesia duration \< 60 min
7. Patients for non-available lowest blood pressure data during surgery
8. Hemodynamic records loss more than 25% of the total anesthesia duration
9. Patients for categorical variables records missing
Primary outcome measure(s)
Postoperative AKI — Within 7 days post-op KDIGO criteria for diagnosis (≥0.3 mg/dL or ≥1.5-fold increase in creatinine value)
Individualized Optimal Intraoperative Hypotension Threshold. — preoperative period A patient-specific blood pressure threshold predicted by a dynamic machine learning model. This threshold is identified as the blood pressure value at which the model-predicted risk of postoperative Acute Kidney Injury (AKI) falls below 10%.
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.
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