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Registry Study of Newly Diagnosed Brain and Heart Related Diseases in China Using Multi-Center Data and AI Integration
Led by Beijing Tiantan Hospital · Updated on 2023-09-21
100000
Participants Needed
14
Research Sites
N/A
Total Duration
AI-Summary
What this Trial Is About
Researchers are developing a large, multi-center database platform called the brain-heart comorbidity platform to collect and analyze clinical, sample, and imaging data from patients newly diagnosed with various cardiovascular-related diseases. This observational study aims to integrate artificial intelligence into this platform to enhance research on brain-heart comorbid conditions, supported by the National Key Research and Development Program. The platform stores data on a physical server or virtual appliance at participating institutions, connected through a network that allows for data queries and aggregation across centers. The study collects information on patients diagnosed with diseases identified by specific ICD-10-CM codes, including ischemic heart diseases, cardiac arrest, atrial fibrillation, heart failure, aortic diseases, subarachnoid hemorrhage, intracerebral hemorrhage, cerebral infarction, vascular occlusions, cerebral aneurysm, moyamoya disease, and arteriovenous malformations. Participants undergo multi-disciplinary assessments and their data is carefully checked for quality through a standardized process that removes incomplete or inaccurate records. The main outcomes measured include rates of all-cause mortality and cardiovascular events at discharge and 30 days. This ongoing registry enables continuous data collection and evaluation to better understand outcomes for patients with brain-heart comorbidities.
CONDITIONS
Brief Title
Registry of Multicenter Brain-Heart Comorbidity in China
Research Team
X
Xiaolin Chen, MD
F
Fa Lin, MD
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