Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- Creation of a database of clinical data and physiological signals to develop a predictive algorithm based on continuous analysis of the intracranial pressure waveform to predict the occurrence of an episode of intracranial hypertension.
研究概览
简要总结
The investigators wish to build up a database of clinical data and physiological signals with a view to developing a predictive algorithm based on continuous analysis of the intracranial pressure waveform and other parameters commonly used in intensive care to predict the occurrence of an episode of intracranial hypertension (HTIC). This algorithm will be designed using supervised learning statistical methods based on innovative statistical analysis methods (artificial intelligence). These methods are classically used to exploit massive data such as sensor data.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Other
入排标准
- 年龄范围
- 18 Years 至 99 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •More than 18 years
- •admission to intensive care for less than 3 days for a neurological lesion
- •Sensor placement for intracranial pressure monitoring
排除标准
- •patient under judicial protection
- •refusal to participate
- •patients under 18 years of age
结局指标
主要结局
Creation of a database of clinical data and physiological signals to develop a predictive algorithm based on continuous analysis of the intracranial pressure waveform to predict the occurrence of an episode of intracranial hypertension.
时间窗: 30 minutes
Occurrence of an episode of intracranial hypertension defined as ICP \>20mmHg for 30 minutes
次要结局
- Predict long-term functional outcome using intracranial pressure wave signal modeling and other parameters collected in real time(28 days)