Combined biomarker testing for the prediction of left ventricular remodelling in ST-elevation myocardial infarction

Sebastian Johannes Reinstadler1, Hans-Josef Feistritzer1, Martin Reindl1

  • 1Department of Cardiology and Angiology , University Clinic of Internal Medicine III, Medical University of Innsbruck , Innsbruck , Austria.

Open Heart
|October 15, 2016
PubMed

Insights

Combining multiple biomarkers like NT-proBNP, hs-cTnT, AST, ALT, LDH, and hs-CRP significantly improves the prediction of left ventricular remodelling (LVR) after ST-elevation myocardial infarction (STEMI). This comprehensive approach offers better prognostic information than single biomarker assessments.

Area of Science:

  • Cardiology
  • Biomarker Research
  • Medical Diagnostics

Background:

  • Left ventricular remodelling (LVR) is a critical complication following ST-elevation myocardial infarction (STEMI).
  • Predictive models for LVR often rely on single biomarkers, with limited data on the prognostic value of combined markers.
  • Routine biomarkers measured post-STEMI require comprehensive evaluation for their combined predictive utility.

Purpose of the Study:

  • To investigate the prognostic value of routinely available biomarkers for predicting LVR after reperfused STEMI.
  • To assess the incremental prognostic information provided by a combination of biomarkers compared to individual measurements.

Main Methods:

  • A prospective observational study involving 123 patients with STEMI treated with primary percutaneous coronary intervention.
  • Serial measurements of N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-cTnT), aspartate aminotransferase (AST), alanine aminotransferase (ALT), lactate dehydrogenase (LDH), and high-sensitivity C-reactive protein (hs-CRP).
  • Cardiac MRI was performed at 2 and 125 days post-infarction to define LVR (≥20% increase in end-diastolic volume).

Main Results:

  • LVR occurred in 13% of patients.
  • Peak concentrations of individual biomarkers (NT-proBNP, hs-cTnT, AST, ALT, LDH, hs-CRP) showed significant predictive capability for LVR.
  • The combination of all assessed biomarkers significantly increased the area under the curve (AUC) for LVR prediction to 0.85, outperforming single biomarker assessments.

Conclusions:

  • Combined assessment of peak NT-proBNP, hs-cTnT, AST, ALT, hs-CRP, and LDH provides incremental prognostic information for LVR prediction in reperfused STEMI patients.
  • This multi-biomarker strategy enhances the prediction of LVR compared to relying on single biomarker measurements.
  • Routine biomarkers, when assessed collectively, offer a powerful tool for risk stratification in STEMI patients.
Abstract

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