Construction of AI-enabled Models for Predicting the Risk of Sepsis After Major Abdominal Surgery: a Retrospective Multicenter Clinical Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 22,646
- 主要终点
- Sepsis within 28 days after surgery.
研究概览
简要总结
The goal of this observational study is to identify the risk factors and build the early warning system of sepsis and septic shock after major abdominal surgery based on artificial intelligence. The main questions it aims to answer are:
What are the high risk factors of postoperative sepsis? Which factors can accelerate the progression of sepsis? Researchers will collect perioperative characteristics to construct predictive models of postoperative sepsis in a retrospective abdominal surgical population based on artificial intelligence, and the accuracy of the models were tested in an external dataset.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Sepsis within 28 days after surgery.
时间窗: In the 28-day period following surgery
For patients within 28 days after surgery, if there is a recorded or suspected infection and the Sequential Organ Failure Assessment (SOFA) score is ≥ 2 points, sepsis can be diagnosed. For sepsis patients, if they still have persistent hypotension after adequate volume resuscitation and require vasopressor drugs to maintain a Mean Atrial Pressure (MAP) ≥ 65 mmHg and a serum lactate level \> 2 mmol/L, it is considered that the sepsis patient has progressed to septic shock.
次要结局
未报告次要终点