eISSN: 1896-9151
ISSN: 1734-1922
Archives of Medical Science
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1/2019
vol. 15
 
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abstract:
Clinical research

Soluble urokinase plasminogen activator receptor in one-year prediction of major adverse cardiac events in patients after first myocardial infarction treated with primary percutaneous coronary intervention

Rafał N. Wlazeł, Marta Migała, Marzenna Zielińska, Lucjan Pawlicki, Kinga Rośniak-Bąk, Iwona Szadkowska

Arch Med Sci 2019; 15, 1: 72–77
Online publish date: 2016/11/15
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Introduction
Soluble urokinase plasminogen activator receptor (suPAR) level reflects the general condition of the organism and was proved to give independent information in risk stratification of patients. The aim of this study was to assess the usefulness of suPAR in the prediction of adverse cardiac events in patients with first myocardial infarction (MI) undergoing primary percutaneous coronary intervention. Additionally, the diagnostic power of suPAR was assessed.

Material and methods
One hundred and thirty-nine of 150 consecutive patients were included in the study. Serum suPAR level (ELISA, Virogates) as well as C-reactive protein (on admission and at discharge) and maximum troponin T (assessed from successive 6-hour periods of blood collection) were measured. In the 1-year follow-up study the following major adverse cardiac events were observed: myocardial infarction, revascularization, stroke and death.

Results
Multi-variable analysis revealed prognostic usefulness only for suPAR and glomerular filtration rate: p < 0.0001 and p = 0.018; OR = 2.59 and OR = 0.98 respectively, with area under the curve in receiver operating characteristic analysis for both parameters simultaneously 0.89 (p < 0.0001). There was no correlation between suPAR level and the left ventricular dysfunction parameters or the MI type.

Conclusions
Soluble urokinase plasminogen activator receptor level appears to be an independent useful biomarker for the prediction of major adverse cardiac events early after first myocardial infarction. The biomarker’s level seems to have more prognostic than diagnostic power.

keywords:

biomarkers, cardiovascular risk prediction, prognostication after acute myocardial infarction

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