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Study on predicting contrast-induced acute kidney injury after PCI based on interpretable machine learning model

Study on predicting contrast-induced acute kidney injury after PCI based on interpretable machine learning model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098580
Enrollment
Unknown
Registered
2025-03-11
Start date
2024-05-01
Completion date
Unknown
Last updated
2025-03-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Coronary atherosclerosis

Interventions

CI-AKI group:NA
non-CI-AKI group:NA

Sponsors

The First Affiliated Hospital, Jinan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years; 2. Underwent PCI treatment; 3. Patients had serum creatinine values ??measured 48-72 hours after surgery; 4. Complete clinical data available for analysis.

Exclusion criteria

Exclusion criteria: 1. Patients undergoing peritoneal or hemodialysis or with end-stage renal disease; 2. Patients who have used iodinated contrast agents within 7 days before and 3 days after PCI; 3. Patients who have used renal protective drugs or nephrotoxic drugs; 4. Patients with severe heart failure, cardiogenic shock, and severe valvular heart disease; 5. Patients with malignant tumors, severe infections, and severe liver dysfunction.

Design outcomes

Primary

MeasureTime frame
Contrast-induced acute kidney injury;discriminability;Calibration degree;—

Secondary

MeasureTime frame
Recurrent nonfatal myocardial infarction;Postoperative hospital stay;Die;—

Countries

China

Contacts

Public ContactChunliu Luo

The First Affiliated Hospital, Jinan University

jnuchll@163.com+86 20 38688419

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026