This study aims to develop and validate a prognostic model for neurocritical patients using multimodal brain monitoring data. By combining data from various monitoring techniques such as EEG, TCD, and NIRS, this model will help predict 90-day outcomes (awake, comatose, or deceased) and support personalized treatment decisions. The study is observational and involves no experimental interventions.
This study is a prospective, observational, multicenter cohort study conducted in China. It focuses on neurocritical patients with acute brain injury, including large cerebral infarction, intracranial hemorrhage, subarachnoid hemorrhage, or severe traumatic brain injury. The study will collect multimodal data from EEG, TCD, and NIRS monitoring within 1-3 days of ICU admission. Machine learning algorithms will be used to develop a model predicting 90-day outcomes, categorized as awake, comatose, or deceased. The study population includes patients aged 18-80 years. Exclusion criteria include pre-existing severe neurological disorders, incomplete monitoring data, or withdrawal during the study period.
Study Type
OBSERVATIONAL
Enrollment
167
90-day Outcome Prediction
The primary outcome is the prediction of patient status at 90 days post-ICU admission, categorized as awake, comatose, or deceased.
Time frame: 90-day
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