4.4 Article

Novel multi-marker proteomics in phenotypically matched patients with ST-segment myocardial infarction: association with clinical outcomes

Journal

JOURNAL OF THROMBOSIS AND THROMBOLYSIS
Volume 53, Issue 4, Pages 841-850

Publisher

SPRINGER
DOI: 10.1007/s11239-021-02582-5

Keywords

STEMI; Biomarkers; Risk stratification; Health outcomes

Funding

  1. Innovation and Investment Award Duke Clinical Research Institute
  2. Canadian VIGOUR Center
  3. Inova Heart Institute

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The study suggests significant heterogeneity in early proteomic responses among acutely reperfused STEMI patients who develop death, heart failure, or shock within 90 days. It recommends considering synergistic multi-biomarker strategies for risk stratification and guiding future development of novel post-myocardial infarction therapies.
Early prediction of significant morbidity or mortality in patients with acute ST-segment elevation myocardial infarction (STEMI) represents an unmet clinical need. In phenotypically matched population of 139 STEMI patients (72 cases, 67 controls) treated with primary percutaneous coronary intervention, we explored associations between a 24-h relative change from baseline in the concentration of 91 novel biomarkers and the composite outcome of death, heart failure, or shock within 90 days. Additionally, we used random forest models to predict the 90-day outcomes. After adjustment for false discovery rate, the 90-day composite was significantly associated with concentration changes in 14 biomarkers involved in various pathophysiologic processes including: myocardial fibrosis/remodeling (collagen alpha-1, cathepsin Z, metalloproteinase inhibitor 4, protein tyrosine phosphatase subunits), inflammation, angiogenesis and signaling (interleukin 1 and 2 subunits, growth differentiation factor 15, galectin 4, trefoil factor 3), bone/mineral metabolism (osteoprotegerin, matrix extracellular phosphoglycoprotein and tartrate-resistant acid phosphatase), thrombosis (tissue factor pathway inhibitor) and cholesterol metabolism (LDL-receptor). Random forest models suggested an independent association when inflammatory markers are included in models predicting the outcomes within 90 days. Substantial heterogeneity is apparent in the early proteomic responses among patients with acutely reperfused STEMI patients who develop death, heart failure or shock within 90 days. These findings suggest the need to consider synergistic multi-biomarker strategies for risk stratification and to inform future development of novel post-myocardial infarction therapies.

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