Prognostic significance of NT-proBNP and sST2 biomarkers in patients with post-myocardial infarction heart failure after a coronavirus infection
| Autor: | N. M. Kalashnikova, D. N. Zaitsev, A. V. Govorin, M. V. Chistyakova, B. T. Balzhitov |
|---|---|
| Jazyk: | ruština |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Российский кардиологический журнал, Vol 28, Iss 6 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1560-4071 2618-7620 |
| DOI: | 10.15829/1560-4071-2023-5216 |
| Popis: | Aim. To determine the prognostic significance of N-terminal pro-brain natriuretic peptide (NT-proBNP) and soluble ST2 (sST2) in patients with post-myocardial infarction heart failure after a coronavirus disease 2019 (COVID-19)Material and methods. Three following groups were formed: in patients of group I (main), who underwent inpatient treatment for COVID-19, the cause of heart failure (HF) was prior Q-wave myocardial infarction; in patients of group II (comparison) without COVID-19, the cause of HF was prior Q-wave myocardial infarction; Group III (comparison) — patients with HF of ischemic origin without postinfarction cardiosclerosis and COVID-19. Statistical processing was carried out using the software package IBM SPSS Statistics Version 26.0.Results. The patients of all three groups included in the present study were comparable. After 6 months in group I, HF course worsening was recorded. In patients of groups I and II, an increase in NYHA HF class from 2 to 3 and 4 was recorded, in contrast to patients of group III, among whom the number of patients with class 3 HF decreased by 25% due to compensation to class 2. Patients of the studied groups, who had elevated serum levels of NT-proBNP and sST2, had more pronounced structural and functional myocardial disorders than patients with normal levels of these biomarkers. Using analysis of adverse cardiovascular events, such as recurrent myocardial infarction, cerebrovascular accident, hospitalization due to coronary artery disease, decompensated HF, which required hospitalization, a predictive model was developed using a neural network. There were following most important factors of the developed model: age, level of NT-proBNP and sST2, lung involvement according to computed tomography.Conclusion. Modern biomarkers NT-proBNP and sST2 have sufficient predictive value to determine the risk of adverse events in HF. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|