About this trial
Although hemorrhagic stroke also has the characteristics of high mortality and disability rates, and constitutes a major public health problem worldwide, there is a relative lack of in-depth research teams for hemorrhagic stroke in China. The current preoperative imaging evaluation of spontaneous cerebral hemorrhage is still limited to the traditional Tada formula, and there are subjective differences in diagnosis among different doctors, making it difficult to achieve homogenization in clinical decision-making. Hemorrhagic stroke is a common and frequently occurring disease in Jiangxi Province. Therefore, establishing a new diagnosis and treatment system focused on hemorrhagic stroke can not only fill the research gap in this field in China, improve the accuracy and homogeneity of hemorrhagic stroke diagnosis and treatment, but also promote related research progress to reduce the mortality and disability rates of this disease and improve the clinical prognosis of patients.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Age >= 8 years old;
Patients diagnosed with spontaneous hemorrhagic stroke based on medical history and auxiliary examinations;
Received non-contrast computed tomography (NCCT) in the outpatient or emergency department;
Treated in accordance with standard clinical guidelines during hospitalization;
Disqualifiers
Had undergone surgical treatment in another hospital before admission;
Was in a state of shock upon admission;
Had severe heart, liver, or kidney dysfunction or other life-threatening systemic diseases;
Died during hospitalization;
Trial population
Spontaneous hemorrhagic stroke, including parenchymal hemorrhage, subarachnoid hemorrhage, intraventricular hemorrhage, and subdural hemorrhage(including chronic subdural hemorrhage).
Trial design
Cohort
Retrospective
Treatments tested in this trial
Large language model
Diagnostic testAutomatical diagnosis, treatment decision-making, and risk prediction after spontaneous intracerebral hemorrhage via a trained deep learning larger language model.
Treatment groups
Trial outcomes
Primary outcomes
Area Under Curve
90-day and 180-day mRS score, survival status, functional independence (Barthel index).
Secondary outcomes
Sensitivity ,Specificity,True Positive Rate,False Positive Rate
Including hospital stay, ICU stay, hospitalization costs, rebleeding, delayed cerebral ischemia, intracranial infection, and hydrocephalus flow surgery needs
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Second Affiliated Hospital of Nanchang University
Lead sponsor
First Affiliated Hospital of Gannan Medical University
Collaborator
Zhejiang University
Collaborator
Ganzhou City People's Hospital
Collaborator
The First People's Hospital of Xiushui
Collaborator
Jiujiang No.1 People's Hospital
Collaborator
Renmin Hospital of Wuhan University
Collaborator
First Affiliated Hospital of Zhejiang University
Collaborator