OBJECTIVES: We sought to determine the best cardiac biomarker to predict infarct size, left ventricular ejection fraction (LVEF), and clinical outcome in patients undergoing primary percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI). BACKGROUND: The cardiac biomarkers, creatine kinase (CK), CK-MB, and troponins T and I are routinely measured after myocardial infarction. However, their correlation with functional and clinical outcomes after PCI for STEMI is not well established. METHODS: In the EVOLVE (EValuation Of MCC-135 for Left VEntricular Salvage in Acute Myocardial Infarction) trial, patients were randomized to receive intracellular calcium modulator as adjunct to primary PCI for first large STEMI. Cardiac biomarker levels were determined in 378 patients before PCI and serially up to 72 h. Single-photon emission computed tomography was performed after 5 and 30 days, and patients were monitored up to 180 days. RESULTS:All single time-point, peak, and area under time-concentration curve of CK, CK-MB, and troponins T and I after PCI significantly correlated with infarct size and LVEF. In particular, 72-h troponin I (TnI72h) correlated strongly with 5-day and 30-day infarct size (r > 0.70; p < 0.001). A TnI72h threshold >55 ng/ml was 90% sensitive for large infarct size (> or =10%) and low LVEF (< or =40%) with specificities of 70% and 52%, respectively (c = 0.88, 0.81; p < 0.001). The highest TnI72h tertile was associated with increased 180-day composite clinical events (23% vs. 23% vs. 42%; p = 0.001) and independently predicted adverse events (hazard ratio = 2.3; p = 0.01). CONCLUSIONS: Assessing TnI72h after primary PCI is a simple, effective method to estimate infarct size, LVEF, and potentially useful for risk stratification.
RCT Entities:
OBJECTIVES: We sought to determine the best cardiac biomarker to predict infarct size, left ventricular ejection fraction (LVEF), and clinical outcome in patients undergoing primary percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI). BACKGROUND: The cardiac biomarkers, creatine kinase (CK), CK-MB, and troponins T and I are routinely measured after myocardial infarction. However, their correlation with functional and clinical outcomes after PCI for STEMI is not well established. METHODS: In the EVOLVE (EValuation Of MCC-135 for Left VEntricular Salvage in Acute Myocardial Infarction) trial, patients were randomized to receive intracellular calcium modulator as adjunct to primary PCI for first large STEMI. Cardiac biomarker levels were determined in 378 patients before PCI and serially up to 72 h. Single-photon emission computed tomography was performed after 5 and 30 days, and patients were monitored up to 180 days. RESULTS: All single time-point, peak, and area under time-concentration curve of CK, CK-MB, and troponins T and I after PCI significantly correlated with infarct size and LVEF. In particular, 72-h troponin I (TnI72h) correlated strongly with 5-day and 30-day infarct size (r > 0.70; p < 0.001). A TnI72h threshold >55 ng/ml was 90% sensitive for large infarct size (> or =10%) and low LVEF (< or =40%) with specificities of 70% and 52%, respectively (c = 0.88, 0.81; p < 0.001). The highest TnI72h tertile was associated with increased 180-day composite clinical events (23% vs. 23% vs. 42%; p = 0.001) and independently predicted adverse events (hazard ratio = 2.3; p = 0.01). CONCLUSIONS: Assessing TnI72h after primary PCI is a simple, effective method to estimate infarct size, LVEF, and potentially useful for risk stratification.
Authors: Tuija Javanainen; Heli Tolppanen; Johan Lassus; Markku S Nieminen; Alessandro Sionis; Jindrich Spinar; José Silva-Cardoso; Matias Greve Lindholm; Marek Banaszewski; Veli-Pekka Harjola; Raija Jurkko Journal: Ann Noninvasive Electrocardiol Date: 2018-05-30 Impact factor: 1.468
Authors: Gert Klug; Agnes Mayr; Johannes Mair; Michael Schocke; Michael Nocker; Thomas Trieb; Werner Jaschke; Otmar Pachinger; Bernhard Metzler Journal: Clin Res Cardiol Date: 2011-01-04 Impact factor: 5.460
Authors: Gabriel C Brooks; Byron K Lee; Rajni Rao; Feng Lin; Daniel P Morin; Steven L Zweibel; Alfred E Buxton; Mark J Pletcher; Eric Vittinghoff; Jeffrey E Olgin Journal: J Am Coll Cardiol Date: 2016-03-15 Impact factor: 24.094
Authors: Peter Nørkjær Laursen; L Holmvang; H Kelbæk; N Vejlstrup; T Engstrøm; J Lønborg Journal: Clin Res Cardiol Date: 2017-02-06 Impact factor: 5.460