Open AccessMultifactor predictive model in patients with myocardial infarction based on modern biomarkers
Author(s) -
А. Ф. Хамитова,
И. А. Лакман,
R.R. Akhmetvaleev,
Eduard Tulbaev,
Diana Gareeva,
Ш. З. Загидуллин,
Н. Ш. Загидуллин
Publication year - 2020
Publication title -
kardiologiâ
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.159
H-Index - 16
eISSN - 2412-5660
pISSN - 0022-9040
DOI - 10.18087/cardio.2020.3.2593
Subject(s) - myocardial infarction , medicine , cardiology
Objective To study the prognostic role of current serum biomarkers in patients with myocardial infarction (MI) by constructing a multifactorial model for prediction of cardiovascular complications (CVC) in remote MI. Acute coronary syndrome is a major cause of death and disability in the Russian Federation. Introduction of current biomarkers, such as N-terminal pro-brain natriuretic peptide, stimulating growth factor (ST2), and centraxin-2 (Pentraxin, Ptx-3), provides more possibilities for diagnostics and calculation of risk for CVC. Materials and Methods Concentrations of biomarkers were measured in 180 patients with MI (mean age, 61.4±1.7) upon admission. At one year, specific and composite endpoints were determined (MI, acute cerebrovascular disease, admission for CVD, and cardiovascular death). Based on this information, a prognostic model for subsequent events was developed. Results A mathematical model was created for computing the development of a composite endpoint. In this model, the biomarkers NT-proBNP, Ptx-3 and, to a lesser extent, ST2 demonstrated their prognostic significance in diagnosis of CVC with a sensitivity of 78.79 % and specificity of 86.67 % (area under the curve, AUC 0.73). Conclusion In patients with remote MI, the biomarkers NT-proBNP, ST2, and Ptx-3 improve prediction of CVC.