[Possibilities of modern biomarkers for assessing the risk of developing ventricular tachyarrhythmias and sudden cardiac death in patients with chronic heart failure]

Catestanin – a promising biological marker for heart failure: A review

The epidemic of heart failure (HF) is one of the problems that the global health system has been facing for decades. HF is a multicomponent clinical syndrome caused by dysfunction of the heart and its pathological remodeling. In addition to the well-known natriuretic peptides, a number of cardiovascular biological markers have now been identified that provide clinicians with additional opportunities in diagnosing, classifying, predicting, and monitoring the effectiveness of treating patients with HF. From the position of establishing the sympathetic load in patients with HF, it seems very promising to assess the concentrations of catestatin. The presented data of our literature review suggest that catestatin is probably a reliable biological marker of the activity of the sympathetic division of the autonomic nervous system, and its elevated concentrations in patients with HF reflect the severity of the pathological process. However, despite the reliable results of studies, the clinical significance of assessing the values of this marker both separately and in the framework of a multimarker model requires further study in larger prospective clinical studies.

Pentraxin-3 – a promising biological marker in heart failure: literature review

According to many studies, inflammation plays a very significant role in the pathogenesis of heart failure. Many studies have demonstrated an increase in circulating levels of inflammatory markers and cytokines such as C-reactive protein, tumor necrosis factor-a (TNF-a), and interleukins. C-reactive protein is produced in the liver in response to stimulation by various cytokines, mainly interleukin-6, and is a member of the pentraxin superfamily. Pentraxin-3, which is a long pentraxin, has a C-terminal domain of pentraxin similar to the classic short pentraxins, but differs from them in the presence of an unrelated long N-terminal domain. Various cell types can produce pentraxin-3 when exposed to primary inflammatory signals such as interleukin-1, tumor necrosis (TNF-a), oxidized low density lipoprotein, and microbial fragments (eg, lipopolysaccharide, lipoarabinomannans). Data in experimental animal models have demonstrated that pentraxin-3 can play cardioprotective and atheroprotective roles through its influence on the inflammatory process. Pentraxin-3 has been studied in several clinical protocols as a potential biomarker for cardiovascular disease.

A Multivariate Model to Predict Chronic Heart Failure after Acute ST-Segment Elevation Myocardial Infarction: Preliminary Study

A multivariate model for predicting the risk of decompensated chronic heart failure (CHF) within 48 weeks after ST-segment elevation myocardial infarction (STEMI) has been developed and tested.

METHODS

The study included 173 patients with acute STEMI aged 51.4 (95% confidence interval (CI): 42-61) years. Two-dimensional (2D) speckle-tracking echocardiography (STE) has been performed on the 7th-9th days, and at the 12th, 24th, and 48th weeks after the index event with the analysis of volumetric parameters and values for global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS). A 24-h ECG monitoring (24 h ECG) of the electrocardiogram (ECG) to assess heart rate turbulence (HRT) has been performed on the 7th-9th days of STEMI. The study involved two stages of implementation. At the first stage, a multivariate model to assess the risk of CHF progression within 48 weeks after STEMI has been built on the basis of examination and follow-up data for 113 patients (group M). At the second stage, the performance of the model has been assessed based on a 48-week follow-up of 60 patients (group T).

RESULTS

A multivariate regression model for CHF progression in STEMI patients has been created based on the results of the first stage. It included the following parameters: HRT, left ventricular (LV) end-systolic dimension (ESD), and GLS. The contribution of each factor for the relative risk (RR) of decompensated CHF has been found: 3.92 (95% CI: 1.66-9.25) (p = 0.0018) for HRT; 1.04 (95% CI: 1.015-1.07) (p = 0.0027) for ESD; 0.9 (95% CI: 0.815-0.98) (p = 0.028) for GLS. The diagnostic efficiency of the proposed model has been evaluated at the second stage. It appeared to have a high specificity of 83.3%, a sensitivity of 95.8%, and a diagnostic accuracy of 93.3%.

CONCLUSION

The developed model for predicting CHF progression within 48 weeks after STEMI has a high diagnostic efficiency and can be used in early stages of myocardial infarction to stratify the risk of patients.

Early Predictors of Heart Failure Progression in Patients After Myocardial Infarction

Aim      To identify early predictors for progression of chronic heart failure (CHF) in patients with ST-segment elevation myocardial infarction (STEMI).Material and methods  The study included 113 patients with STEMI aged 52 (95 % confidence interval, 36 to 65) years. 24-h ECG monitoring was performed with assessment of ventricular late potentials, QT dispersion, heart rhythm turbulence (HRT), and heart rhythm variability (HRV); XStrain 2D echocardiograpy with determination of volumetric parameters, myocardial strain characteristics and velocities; and measurement of brain natriuretic peptide (BNP) concentrations. The endpoint was CHF progression during 48 weeks of follow-up, which was observed in 26 (23 %) patients. Based on the outcome, two groups were isolated, with CHF progression (Prg) (26(23%)) and with a relatively stable CHF postinfarction course (Stb) (87 (77 %)).Results At 12 weeks following MI, the Prg group showed increases in left ventricular (LV) end-diastolic dimension (EDD) (р<0.05) and end-diastolic and end-systolic volumes (EDV, ESV), (р<0.01), and EDV and ESV indexes (EDVi and ESVi, р<0.01). In this group, global longitudinal strain (GLS) was decreased at 24 weeks (р<0.05) and global radial strain (GRS) was decreased at 48 weeks (р=0.0003). In the Prg group, values of strain parameters (GLS, global circular strain (GCS), and GRS) were lower at all times. At 7-9 days, 24 weeks, and 48 weeks, the proportion of patients with pathological HRT was higher in the Prg group (38, 27, and 19 % for the Prg group vs 14 % (р=0.006); 3,4 % (р=0.001), and 2.3 % (р=0.002) for the Stb group, respectively). Only in the Stb group, increases in HRV were observed (SDNNi by 13 % (р=0.001), rMSSD by 24 % (р=0.0002), TotP by 49 % (р=0.00002), VLfP by 23 % (р=0.003), LfP by 22 % (р=0.008), and HfP by 77 % (р=0.002). At 7-9 days of MI, the Stb group had greater values of SDANN (р=0.013) and HfP (р=0.01). CHF progression correlated with abnormal values of turbulence onset (TO), disturbed HRT, increased BNP levels and LV ESD, and low values of GLS, GCS, and GRS. Combined assessment of HRT, LV ESD, and GLS at 7-9 days after STEMI allows identifying patients with high risk for CHF progression in the next 48 weeks.Conclusion      The markers for CHF progression after STEMI include abnormal TO values, disturbed HRT, increased BNP levels and LV ESD, and low values of GLS, GCS, and GRS. The multifactor logistic regression analysis revealed early predictors of CHF in the postinfarction period, including abnormal TO, increased LV ESD, and reduced GLS.