- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07482683
Predicting Post-Cardiac Surgery Acute Kidney Disease: A Machine Learning Approach
March 15, 2026 updated by: China National Center for Cardiovascular Diseases
Development and Validation of a Machine Learning-Based Risk Prediction Model for Acute Kidney Disease After Cardiac Surgery
Renal injury after cardiac surgery is one of the common complications with high incidence rate, high risk of death and progression to chronic kidney disease (CKD).
Previous evaluations of perioperative renal function mainly focused on acute kidney injury (AKI) related to cardiac surgery within seven days after surgery.
The newly proposed concept of acute kidney disease (AKD) in recent years refers to acute or subacute kidney injury lasting seven to ninety days.
Research has found that AKD can occur after AKI or in patients without AKI, and the two are both related and independent of each other, possibly indicating different subtypes of kidney injury.
AKD is not uncommon and is a more significant predictor of mortality and end-stage kidney disease (ESKD).
Therefore, AKD may be an important window for identifying and managing high-risk patients after cardiac surgery.
Due to limited research on AKD after cardiac surgery, the risk factors for AKD are currently unclear, and there are no clinically practical and effective risk stratification tools available.
This study aims to establish a multimodal perioperative data platform through a retrospective cohort, and use machine learning methods to construct a risk prediction model for AKD after cardiac surgery.
The accuracy and stability of the model will be validated in a prospective study cohort, and an online risk prediction and clinical decision-making tool will be developed to help clinicians quickly conduct personalized risk assessments and optimize diagnosis and treatment strategies, thereby improving patient prognosis and reducing medical costs.
Study Overview
Status
Not yet recruiting
Conditions
Study Type
Observational
Enrollment (Estimated)
820
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Lili Liu
- Phone Number: 86-010-88396533
- Email: lll9536@sina.com
Study Locations
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Beijing, China
- National Center for Cardiovascular Diseases
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Contact:
- Lili Liu
- Phone Number: 86-010-88396533
- Email: lll9536@sina.com
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Inpatients undergoing cardiac surgery at Fuwai Hospital
Description
Inclusion Criteria:
- Age ≥ 18 years;
- Undergoing coronary artery bypass grafting and/or heart valve surgery, with or without aortic surgery;
- Baseline serum creatinine level < 354 umol/L;
- Informed consent obtained.
Exclusion Criteria:
- Emergency surgery;
- Multiple surgeries or reoperation;
- End-stage kidney disease (ESKD), renal replacement therapy, or kidney transplantation;
- Occurrence of AKI within 1 week before surgery or unresolved AKI;
- Death within 1 week after surgery.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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Adult patients undergoing coronary artery bypass grafting and/or heart valve surgery
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Number of Participants with acute kidney disease after cardiac surgery Assessed by KDIGO guideline
Time Frame: within 90 days after cardiac surgery
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within 90 days after cardiac surgery
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acute kidney disease after cardiac surgery
Time Frame: within 90 days after cardiac surgery
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within 90 days after cardiac surgery
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
March 1, 2026
Primary Completion (Estimated)
June 30, 2027
Study Completion (Estimated)
June 30, 2027
Study Registration Dates
First Submitted
March 15, 2026
First Submitted That Met QC Criteria
March 15, 2026
First Posted (Actual)
March 19, 2026
Study Record Updates
Last Update Posted (Actual)
March 19, 2026
Last Update Submitted That Met QC Criteria
March 15, 2026
Last Verified
February 1, 2026
More Information
Terms related to this study
Other Study ID Numbers
- 2025-I2M-C&T-B-027
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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