Head to Head Comparison of Suppression of Tumorogenicity 2 and Copeptin Significance for Prognosis of Patients After Acute Heart Failure Decompensation

[Soluble ST2 - as a biomarker, a tool for risk stratification and therapeutic target in patients with chronic heart failure]

This review focuses on possibilities of using soluble ST2 as a HF marker for diagnostics, stratification of risk of adverse events, and for evaluation of prognosis and treatment effectiveness in patients with CHF. Circulating biomarkers are an essential element of algorithms for diagnostics, stratification of risk, and evaluation of prognosis in patients with HF. The recognized "gold standard", natriuretic peptides, has several well-known limitations, and multiple new candidate biomarkers have appeared in recent years. Soluble ST2, a marker of "mechanical myocardial stress", is considered as one of the most promising new biomarkers. This review discusses possibilities of using it in clinical practice in CHF patients.

Prognostic role of ST2 in patients with chronic heart failure of ischemic etiology and carbohydrate metabolism disorders

AIM

To study the role of soluble ST2 (sST2) in patients with coronary artery disease (CAD) and chronic heart failure (CHF) associated with carbohydrate metabolism disorders (impaired glucose tolerance (IGT) and type 2 diabetes mellitus (DM) in risk stratification of adverse cardiovascular events (ACE) for 12 months of follow-up.

MATERIALS AND METHODS

We enrolled 118 patients with CAD and CHF I-III FC (NYHA) with the ejection fraction of left ventricular of 60 [46; 64] % aged 62.5 [57; 68] years. Serum sST2 levels were measured by enzyme immunoassay.

RESULTS

Depending on the presence of carbohydrate metabolism disorders (CMD), the patients were divided into 3 groups: group 1 (n=65) included patients without CDM, group 2 (n=30) included with IGT, and group 3 (n=23) included with type 2 DM. Serum levels of sST2 in patients with CMD were significantly (p=0.011) higher than in patients without CMD, but in subgroups of patients with IGT and type 2 DM, the concentrations of sST2 did not differ. In group 1 sST2 levels were 30.51 [26.38; 37.06] ng/ml, and in group 2 and 3 - 37.97 [33.18; 47.48] and 41.45 [35.27; 50.37] ng/ml, respectively. There were statistically significant differences in the rate of adverse ACE in relation to sST2 levels: in spite of CMD, in subgroups with biomarker overexpression adverse CCC occurred more often (p<0.01). According to the ROC analysis, the sST2 level of 33.14 ng/ml with the sensitivity of 73.3% and the specificity of 75.0% can be considered as a marker of ACE development within 12 months of follow-up (AUC=0.77, 95% CI 0.59-0.89, p=0.002).

CONCLUSION

In patients with CHF of ischemic etiology, the prognostic significance of sST2 are established as a biomarker of ACE development. In patients with CDM, sST2 levels are significantly higher than in those without CDM that is associated with a higher rate of ACE within 12 months of follow-up.

Multimarker Approach in Risk Stratification of Patients with Decompensated Heart Failure

PURPOSE

to study prognostic value of various biomarkers and their combinations in patients who survived decompensation of chronic heart failure.

MATERIALS AND METHODS

Patients (n=159) who were hospitalized with diagnosis of heart failure (HF) decompensation were included in a prospective single-center study. Examination on admission and the day of hospital discharge, included measurement of concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hsTnT), copeptin, soluble suppression of tumorigenicity 2 (sST2), kopetin, neutrophil gelatinase-associated lipocalin (NGAL), and galectin-3. Te combined primary endpoint comprised cardiovascular (CV) death, frst hospitalization because of HF heart failure decompensation, episodes of HF deterioration which required additional i/v diuretics, and CV death with successful resuscitation.

RESULTS

During one-year follow-up 56 pts (35.2%) reached the combined primary endpoint. Tere were 78 (49.1%) cardiovascular events. During hospitalization, patients with the decompensation of heart failure experienced a decrease of sST2, NT-proBNP, galectin-3, kopetin, hsTnT and an insignifcant increase of NGAL. ROC analysis identifed signifcant relation between concentrations of NT-proBNP, sST2, copeptin and, to a lesser degree, hsTnT, determined at hospital discharge, and risk of combined primary endpoint during 1-year follow-up: area under the curve (AUC) was 0.733 [95% CI 0.645-0.820], p<0.0001, 0.772 [95% CI 0.688-0.856], p<0.0001, 0.735 [95% CI 0.640-0.830], p<0.0001, and 0.659 [95% CI 0.553-0.764], p=0.005, respectively. Patients who during hospitalization did not achieve cut-off values of NT-proBNP ≤1696 rg/ml, sST2≤37.8 hg/ml, copeptin≤28.31 rmol/L and hsTnT≤28.37 rg/ml, had higher risk of reaching adverse events during 1 year; OR and 95% CI were 2.96 [1.61, 5.42] p<0.0001, 4.31 [2.34, 7.93] p<0.0001, 3.06 [1.59, 5.89] and 2.19 [2.12, 4.27]), respectively. According to Cox regression analysis, risk of the combined primary end point was the highest in patients with 3 or more elevated markers (OR = 6.6 [3.584, 12.158], p<0.0001), average in patients with 2 elevated markers (OR = 1.123 [0.51, 2.48]), p=0.7), and the lowest in patients with no markers increase or increase of only one marker (OR = 0.11 [0.049, 0.241], p<0.0001). In the Kaplan-Mayer survival analysis all three groups were statistically different. In order to identify the most prognostically strong model, a reclassifcation analysis was performed. According to this analysis, the combination of sST2 and NT-proBNP concentrations determined at hospital discharge, exceeded one NT-proBNP (reclassifcation = -8.1%). At the same time, predictive value of only sST2 just insignifcantly less than value of sST2 and NT-proBNP combination (reclassifcation = -1.9%).

CONCLUSION

Patients with three and more elevated markers at hospital discharge have high risk of adverse events. Te biggest prognostic value has combination of sST2 and NT-proBNP concentrations. In order to determine the long-term prognosis of a patient with HF decompensation, it is sufcient to measure concentrations of sST2 and NT-proBNP at hospital discharge. Alternatively, it is possible to limit to sST2 only, which is just insignifcantly inferior to the sST2 and NT-proBNP combination. Patients with concentrations of sST2 ≥37.8 hg/ml and NT-proBNP ≥1696 rg/ml at hospital discharge have maximal 1year risk of death due to recurrent HF decompensation.

Clinical significance of serial biomarkers activity determination after acute heart failure decompensation: sST2 NT-proBNP role during long-term follow-up

AIM

Monitoring of concentrations of modern biomarkers to evaluate the efficacy of long‑term treatment of patients after acute decompensated HF (ADHF).

MATERIALS AND METHODS

The study included 100 patients with severe decompensated FC II-IV CHF and LV EF <40 % due to IHD, DCMP or AH. At discharge from the hospital, patients were divided into groups of low (NT‑proBNP<1400 pg / ml) (control, n=30) and high (NT‑proBNP≥1400 pg / ml) risk (n=70). Patients at high risk were randomized to two treatment groups, a group of NT‑proBNP monitoring (NPM) (n=35) and a group of standard therapy (n=35). At the end of the study, noncompliant patients were isolated from these two groups into a separate group (n=10). The aim of the treatment was decreasing the NT‑proBNP concentration to less than 1000 pg / ml and / or ≥50 % of the baseline level. In addition to the soluble suppression of tumorigenicity 2 (sST2) receptor, concentrations of copeptin, neutrophil gelatinase associated lipocalin (NCAL), galectin 3, and high‑sensitivity troponin T were measured at discharge from the hospital (baseline) and at three and 6 months of treatment.

RESULTS

The strongest correlations were found between changes in concentrations (Δ%) of NT‑proBNP, copeptin, and sST2 and changes in CHF FC, 6‑min walk distance, CCS, quality of life, LV EF, and Е / Е' (р<0.001). The incidence of cardiovascular events was directly related with the degree of decrease and / or increase in biomarker concentration. Patients of the NPM group had the lowest risk of adverse clinical outcome upon a decrease in NT‑proBNP <988.5 pg / ml at 6 months of treatment or > 50 % of the baseline level at discharge from the hospital. For these patients, the mean Δ% was 60.7±8.5 % for NT‑proBNP, 34.03±17.6 % for sST2, and 32.41±8.8 % for copeptin [OR at 95 % CI 0.08 (0.02-0.36), р <0.0001]. A significant increase in the risk for cardiovascular events was observed only at a considerable increase in NT‑proBNP >50 % [OR at 95 % CI 3.8 (1.13-13.0), р=0.03], and the highest incidence of cardiovascular events was observed in the group of noncompliant patients (110 %). Besides NT‑proBNP, to significantly decrease the risk of cardiovascular events, it was necessary to achieve a decrease in sST2 concentration to less than 30 ng / ml or by more than 24.9 % (Δ%) at the end of followup [ОR (95 % CI: 0.1 (0.02-0.5), р=0.004].

CONCLUSION

Among the modern biomarkers, changes in NT‑proBNP, sST2, and copeptin concentrations most accurately reflect changes in the clinical and functional status, quality of life, and EchoCG parameters in HF patients during long‑term monitoring. The lowest risk for adverse clinical outcomes was observed in post‑decompensation patients with a decrease in NT‑proBNP <988.5 pg / ml after 6 months of treatment or ≥50 % of baseline upon discharge from the hospital. The sST2 concentration has to be reduced by more than 24.9 % of baseline and less than 30 ng / ml in the course of long‑term treatment after decompensated HF.