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

NCT07482683 | Not Yet Recruiting DMC

• 1 other identifier: 2025-I2M-C&T-B-027
• Study Type: observational
• Target: 820
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Acute Kidney Disease

Outcome Measures

Primary Outcomes (2)

• Number of Participants with acute kidney disease after cardiac surgery Assessed by KDIGO guideline

  within 90 days after cardiac surgery

• acute kidney disease after cardiac surgery

  within 90 days after cardiac surgery

Study Arms (1)

Adult patients undergoing coronary artery bypass grafting and/or heart valve surgery

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Inpatients undergoing cardiac surgery at Fuwai Hospital

You may qualify if:

• 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.

You may not qualify if:

• 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.

Sponsors & Collaborators

• China National Center for Cardiovascular Diseases: lead

Study Sites (1)

National Center for Cardiovascular Diseases

Beijing, China

Location

Central Study Contacts

Lili Liu

CONTACT

86-010-88396533; lll9536@sina.com

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER GOV
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: March 15, 2026
• First Posted: March 19, 2026
• Study Start: March 1, 2026
• Primary Completion (Estimated): June 30, 2027
• Study Completion (Estimated): June 30, 2027
• Last Updated: March 19, 2026

Record last verified: 2026-02

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)