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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Routinely-feasible multiple biomarkers score to predict prognosis after revascularized STEMI
F Roubille1, A Samri, L Cornillet
1CHU Arnaud de Villeneuve, Cardiology Department, 371 avenue du doyen Gaston GIRAUD, 34295 Montpellier, France. f-roubille@chu-montpellier.fr
A multimarker approach using routine cardiac biomarkers like BNP, hsCRP, creatininemia, and troponin I is feasible for risk stratification after acute myocardial infarction (MI). This approach helps identify high-risk patients for clinical events, complementing individual marker performance.
Area of Science:
- Cardiology
- Biomarkers
- Risk Stratification
Background:
- Assessing the long-term prognostic value of a simple multiple cardiac biomarker score after revascularized acute myocardial infarction (MI).
- Evaluating a multimarker approach for risk stratification using routine biomarkers.
Purpose of the Study:
- To determine the prognostic value of a multimarker score in patients post-revascularized acute MI.
- To assess the feasibility of a routine multimarker approach for risk stratification.
Main Methods:
- 138 patients with acute MI treated by primary coronary intervention were analyzed.
- Blood samples tested for creatininemia, BNP, hsCRP, and troponin I from admission to day 7.
- Primary endpoint: hospitalization for cardiac reasons, acute coronary events, or death.
Main Results:
- All assessed markers (creatininemia, hsCRP, troponin I, BNP) and the multimarker score predicted clinical events.
- BNP and the multimarker score showed significant hazard ratios for predicting events.
- The multimarker approach identified a smaller, manageable high-risk population (13%) compared to individual markers.
Conclusions:
- A routine multimarker approach using BNP, hsCRP, creatininemia, and troponin I is feasible in acute MI patients.
- BNP emerged as the most potent single marker.
- The multimarker strategy provides additional prognostic information for identifying high-risk patients.
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