ITMCTR2026001701招募中Unknown
Establishment of a Machine Learning-Based Predictive Model for Sepsis-Associated Acute Kidney Injury and a Cohort Study on Traditional Chinese Medicine Syndrome Features
Shanghai University of Traditional Chinese Medicine Affiliated Longhua Hospital0 个研究点开始时间: 2026年1月1日最近更新:
适应症
试验速览
- 阶段
- Unknown
- 状态
- 招募中
- 发起方
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18 至 80（—）
- 性别
- All
入选标准
- •(1) First admission to ICU;
- •(2) 18 years old < age < 80 years old;
- •(3) ICU stay duration > 24 hours;
- •(4) Meets diagnostic criteria for sepsis.
排除标准
- •(1) Patients who died or discontinued treatment, abandoned treatment, or were discharged against medical advice within 24 hours of admission;
- •(2) Patients with missing individual data exceeding 30%;
- •(3) Patients with a history of acute kidney injury (AKI) or chronic kidney dysfunction, or those already undergoing renal replacement therapy (RRT) at admission;
- •(4) Patients with primary diseases that severely impact survival, including acute myocardial infarction, acute cerebral infarction, and metastatic malignant tumors.
研究者
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