+1 877 705 191424 / 7
HIPAA Compliant
ISO 27001 Certified

Actively Recruiting

Age: 18Years +
All Genders
ID05961748

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

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here