Investigation and Early Risk Prediction of Acute Kidney Injury Caused by Iodinated Contrast Agents: Development of CI-AKIDPi Model Based on Interpretable Deep Learning
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- AKI
研究概览
简要总结
Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •patients who received iodinated contrast agents during hospitalization
- •age ≥ 18 years
- •hospitalization length ≥ 48 hours
- •at least two serum creatinine tests during hospitalization
排除标准
- •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
结局指标
主要结局
AKI
时间窗: Completed through study, up to half a year
During the patient's hospitalization, acute kidney injury occurred after the use of Iodinated contrast media
次要结局
未报告次要终点
研究者
Xiao Li，MD
Associate professor of pharmacy
Qianfoshan Hospital