Risk Factors and Deep Learning Model for CI-AKI

Xiao Li，MD

Status: Active, not recruiting

Conditions: AKI - Acute Kidney Injury

Study type: Observational

Funder types: Other

Identifiers

NCT06596785

LCYX-LX-20240101

Details and patient eligibility

About

Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.

Full description

Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent. Despite the frequent use of iodinated contrast agents in medical investigations, predictive models for CI-AKI are scarce. This study aimed to construct and validate interpretable deep learning models for the early risk prediction of acute kidney injury (AKI) associated with iodinated contrast agents.

Enrollment: 2,000 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• patients who received iodinated contrast agents during hospitalization
• age ≥ 18 years
• hospitalization length ≥ 48 hours
• at least two serum creatinine tests during hospitalization

Exclusion criteria

• patients with stage 4 or 5 chronic kidney disease prior to admission
• patients undergoing hemodialysis, hemofiltration or peritoneal before admission
• a history of nephrectomy or kidney transplantation during hospitalization
• incomplete clinical information
• Serum creatinine always ≤ 40 μmol/L during hospitalization