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NCT07482683

Predicting Post-Cardiac Surgery Acute Kidney Disease: A Machine Learning Approach

Not yet recruiting Last updated 19 March 2026
What this trial tests

trial in Acute Kidney Disease in 820 participants. Not yet recruiting.

Timeline
1 March 2026
Primary endpoint
30 June 2027
30 June 2027

Quick facts

Lead sponsorChina National Center for Cardiovascular Diseases
StatusNot yet recruiting
Study typeOBSERVATIONAL
Enrollment820
Start date1 March 2026
Primary completion30 June 2027
Estimated completion30 June 2027
Sites1 location across China

Conditions studied

Sponsor

China National Center for Cardiovascular Diseases — full company profile →

Who can join

18 and older, any sex, with Acute Kidney Disease. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Acute Kidney Disease

Currently open trials in the same condition.

Other China National Center for Cardiovascular Diseases trials

Trials by the same sponsor.

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Data sources for this page

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