RESEARCH ARTICLE


The Utility of New Biomarker-based Predictive Model for Clinical Outcomes Among ST-elevation Myocardial Infarction Patients



Olga V. Petyunina1
iD
, Mykola P. Kopytsya1, Alexander E. Berezin2, *
iD

1 Department of prevention and treatment of emergency conditions, L.T.Malaya Therapy National Institute NAMSU, 2A Liubovi Maloy av., 61039, Kharkiv, Ukraine
2 Internal Medicine Department, State Medical University of Zaporozhye, 26, Mayakovsky av., Zaporozhye, 69035, Ukraine


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Creative Commons License
© 2020 Petyunina et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Internal Medicine Department, State Medical University of Zaporozhye, 26, Mayakovsky av., Zaporozhye, 69035, Ukraine; Tel: +380612894585; E-mail: aeberezin@gmail.com


Abstract

Aim:

To determine the discriminative potency of score to prognosticate poor clinical outcomes in ST-Segment Elevation Myocardial Infarction (STEMI) patients.

Methods:

From the entire population of STEMI (n=268), we enrolled 177 individuals with acute STEMI who underwent complete revascularization with primary Percutaneous Coronary Intervention (PCI). Clinical assessment, echocardiography, Doppler, and biomarkers’ measure were performed at baseline.

Results:

Combined endpoint (Major Cardiovascular Events - MACEs [composite of cardiovascular death, recurrent myocardial infarction, newly diagnosed Heart Failure] and hospitalization) was determined in 75 patients with acute STEMI population (40.6%). Newly onset heart failure (HF) was reported in 46 patients (26.0%), Cardiovascular (CV) death occurred in 12 patients (6.8%), MACEs were determined in 58 patients (32.8%), and recurrent hospitalization due to CV reasons was found in 17 (9.6%). The conventional risk predictive models were engineered by a combination of TIMI risk score +acute HF Killip class ≥ II + the levels of NT-pro brain natriuretic peptide > 300 pg / mL and troponin >0.05 ng/mL. We developed a new predictive model based on the presentation of T786С genotype of endothelial NO syntase gene (rs 2070744), А1166С in angiotensin-ІІ receptor-1 gene (rs5186) and serum levels of soluble suppressor tumorigenicity ≥35 pg/mL, vascular endothelial growth factor ≤172 pg/mL and macrophage inhibitory factor ≥2792.7 pg/mL. STEMI patients who had >5 score points demonstrated significantly worse prognosis than those who had ≤5 score points.

Conclusion:

Here we have reported that a new original predictive model is better than a conventional model in discriminative ability to predict combined clinical outcome in STEMI patients.

Keywords: ST-segment elevation myocardial infarction, Clinical outcomes, Biomarkers, Biomarker-based model, Prediction, Doppler.