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Multiple Cardiac Biomarker Testing Among Patients With Acute Dyspnea From the ICON-RELOADED Study.
Andrew Abboud1, Naishu Kui2, Hanna K Gaggin1
1From the Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), cardiac troponin T, and insulin-like growth factor binding protein-7 predict outcomes in acute dyspnea. The number of elevated biomarkers effectively stratifies risk for mortality and heart failure rehospitalization.
Area of Science:
- Cardiology
- Biomarker research
- Emergency medicine
Background:
- Acute dyspnea is a common emergency department presentation.
- Biomarkers like NT-proBNP, hsTnT, and IGFBP7 are known to predict cardiovascular outcomes.
- Optimal interpretation of these biomarkers in acute dyspnea remains unclear.
Purpose of the Study:
- To investigate the diagnostic and prognostic value of a multimarker panel in patients with acute dyspnea.
- To determine if the number of elevated biomarkers can improve risk stratification for mortality and heart failure rehospitalization.
Main Methods:
- Analysis of NT-proBNP, hsTnT, and IGFBP7 concentrations in 1448 patients with acute dyspnea from the ICON-RELOADED study.
- Biogroup derivation based on biomarker elevation patterns.
- Comparison of biogroups for baseline characteristics, acute heart failure (HF) diagnosis, and 180-day mortality or HF rehospitalization.
Main Results:
- Among patients with all three biomarkers elevated, 49.4% were diagnosed with acute HF.
- The frequency of acute HF diagnosis increased significantly with the number of elevated biomarkers.
- Elevations in one, two, or three biomarkers were associated with 3.74, 12.3, and 12.6 fold increased risk of 180-day mortality or HF rehospitalization, respectively.
Conclusions:
- A multimarker panel including NT-proBNP, hsTnT, and IGFBP7 offers valuable clinical, diagnostic, and prognostic information in acute dyspnea.
- The number of elevated biomarkers at presentation allows for efficient clinical risk stratification of short-term mortality and HF rehospitalization.
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