Prediction of Complications After Major Gastrointestinal Surgery With Machine Learning and Point of Care Ultrasound: an Observational Cohort Study.
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- Post-operative complications
研究概览
简要总结
This is an observational study in patients undergoing major surgery. In which we attempt to predict complications (e.g. low blood pressure, ICU-admittance after major surgery using continuous blood pressure measurements. We will also attempt to predict their response to fluid therapy using point of care ultrasound. Eventually we aim to combine these methods to detect complications earlier and to give advice about whether or not administration of fluid is appropriate
详细描述
The primary aim of this study is to develop a machine learning framework to predict major complications after major gastro-intestinal surgery. Secondary aims include combining this framework with point of care ultrasound to determine the best initial resuscitative strategy; and to determine which ultrasound parameters are best predictive of fluid intolerance. Furthermore if the renin angiotensin aldosterone system is more active after liver resection.
Study design:
Single centre observational cohort study
Study population:
Adult patients undergoing elective major gastrointestinal surgery
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 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
- 否
入选标准
- •≥18 years of age.
- •elective major gastrointestinal surgery: esophagectomy, gastrectomy, pancreatomy or major liver resection (3 segments or more).
排除标准
- •no informed consent
- •Patients with major cardiac shunts
- •Patients with dialysis shunts or peritoneal dialysis
- •Patients in whom POCUS is not possible or assessment of fluid status is unreliable e.g. BMI> 40, pulmonary fibrosis.
结局指标
主要结局
Post-operative complications
时间窗: 28 days
mainly complications such as ICU admission, re-OR, hemodynamic or respiratory instability, death, organ failure
次要结局
- fluid overload or fluid intolerance(28 days)
研究者
A.P.J. Vlaar
prof. dr.
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)