Acute heart failure is a common reason for emergency department visits and hospitalization, but the diagnosis can be challenging because of non-specific symptoms and signs. The current diagnostic approach to acute heart failure has modest accuracy, leading to delayed diagnosis and treatment, which associate with worse prognosis. Prior work suggests diagnostic accuracy can be improved with the addition of multiple circulating biomarkers discovered through proteomics, and this study will derive and validate a multi-marker model to improve diagnostic accuracy for acute heart failure in the emergency department.
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Biomarker Discovery
Timeframe: Enrollment
Model derivation for diagnosing acute HF
Timeframe: Enrollment
Model validation for diagnosing acute HF
Timeframe: Enrollment