AI model aims to predict kidney damage after heart surgery
NCT ID NCT07482683
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will develop a computer model that uses machine learning to predict a patient's risk of developing acute kidney disease after heart surgery. Researchers will collect data from 820 adults undergoing certain heart procedures to build and test the model. The goal is to create an online tool that helps doctors quickly assess individual risk and personalize care, potentially improving recovery and reducing costs.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 820 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Mar 2026
An estimate. Start dates often move.
- Expected to finish
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Jun 2027
An estimate. End dates often move.
- Lead sponsor
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A government agency
The lead sponsor is a government body.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Inpatients undergoing cardiac surgery at Fuwai Hospital
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
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.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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National Center for Cardiovascular Diseases
Beijing, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Simple antibiotic may shield kidney patients from Post-Hospital infections
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