ChiCTR2100046077已完成Unknown
MACHINE LEARNING PREDICTS CONTRAST INDUCED ACUTE KIDNEY INJURY IN ELECTIVE LOWER LIMB PERCUTANEOUS TRANSLUMINAL ANGIOPLASTY: A RETROSPECTIVE COHORT
No funding1 个研究点 分布在 1 个国家目标入组 610 人开始时间: 2020年7月1日最近更新:
试验速览
- 阶段
- Unknown
- 状态
- 已完成
- 发起方
- 入组人数
- 610
- 试验地点
- 1
- 主要终点
- Contrast associated acute kidney injury
研究概览
简要总结
Examine risk factors for contrast associated acute kidney injury after elective lower limb percutaneous transluminal angioplasty. Develop machine learning models for risk prediction.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 21 至 99（—）
- 性别
- All
入选标准
- •All cases of lower limb PTA as a single procedure identified via surgical codes;
- •Performed at Singapore General Hospital;
- •Recruitment period from 2014 to 2020.
排除标准
- •Patients <21 years old;
- •Patients with a preoperative estimated Glomerular Filtration Rate (eGFR) of <15mL/min/1.73 m2 as defined by the Modification of Diet in Renal Disease (MDRD);
- •Patients with no valid preoperative or postoperative SCr.
研究组 & 干预措施
Case series
结局指标
主要结局
Contrast associated acute kidney injury
次要结局
未报告次要终点
研究者
研究点 (1)
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