Construction of a Prognostic Model for Severe Brain-Injured Patients Based on Integrated Metabolic-Neurological Monitoring: A Prospective Observational Study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 50
- 主要终点
- Glasgow Outcome Scale Extended (GOSE)
研究概览
简要总结
This is a prospective, observational cohort study aimed at constructing a machine learning-based prognostic model for severe brain-injured patients. The study will synchronously collect continuous glucose monitoring (CGM), electroencephalography (EEG), near-infrared spectroscopy (fNIRS), transcranial Doppler (TCD), and serum neuronal injury biomarkers (NSE, S100β) within 72 hours post-injury. The goal is to investigate the correlation between glycemic variability (GV) and neurological function and to develop an integrated model for early prediction of 3-6 month neurological outcomes (GOSE score).
详细描述
This study intends to enroll 50 adult patients with brain injury admitted to the ICU. Multimodal monitoring data will be collected prospectively. Machine learning algorithms will be used to integrate the data and build a predictive model. The study will test whether integrated metabolic-neurological monitoring outperforms traditional single-parameter prognostic methods.
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
- •Diagnosis of severe TBI, large-volume stroke, or HIE
- •Expected ICU stay >72 hours
- •Informed consent from legal surrogate
排除标准
- •Terminal organ failure
- •Pre-existing severe neurological disease
- •Skull defect preventing monitoring
- •Pregnancy or lactation
结局指标
主要结局
Glasgow Outcome Scale Extended (GOSE)
时间窗: 3 and 6 months
Neurological outcome at 3 and 6 months assessed by Glasgow Outcome Scale Extended (GOSE)
次要结局
- 28 days mortality(28 days)
研究者
Xingui Dai
The department of Critical Care Medicine
First People's Hospital of Chenzhou