Multimarker Analysis of Serially Measured GDF-15, NT-proBNP, ST2, GAL-3, cTnI, Creatinine, and Prognosis in Acute Heart Failure

Clinical determinants and biomarkers associated with cardiac fibrosis after heart transplantation as assessed by magnetic resonance: Size matters

Background

Cardiac fibrosis is increasingly recognized as a marker of worse outcomes in long-term follow-up after heart transplantation (HTX). We investigated the clinical determinants and biomarkers of focal and interstitial cardiac fibrosis as assessed with cardiac magnetic resonance (CMR).

Methods

Consecutive HTX recipients underwent CMR with late gadolinium enhancement for focal myocardial fibrosis and T1 mapping for interstitial fibrosis. We calculated the correlations of these findings with clinical parameters, history, biomarkers of fibrosis (B-type natriuretic peptide (BNP), growth differentiation factor-15, galectin-3 and soluble ligand ST2) and echocardiography.

Results

Forty-eight HTX patients were included: median age 63 ± 13 years, 11 ± 6 years after heart transplantation. Only donor weight (p 0.044) and the rate of a > 30 % mismatch between donor and recipient weight (p 0.02) were significantly different in patients with vs. without late LGE. Extracellular volume (ECV) was correlated with the weight mismatch between donor and recipient (r = 0.32, p 0.04), resulting in a higher ECV for oversized donors. BNP was the only biomarker of the four studied that was correlated with interstitial fibrosis as assessed by ECV (r = 0.35, p 0.04). T1 relaxation time was correlated with treated acute cellular rejection grade ≥ 2 (ISHLT grading) (r = 0.34, p 0.02).

Conclusion

Both focal and interstitial fibrosis, as determined by CMR, after heart transplantation are correlated with donor and recipient weight mismatch. BNP was the only biomarker clinically relevant to interstitial cardiac fibrosis.

Prognostic value of growth differentiation factor-15 in heart failure among whole ejection fraction phenotypes

AIMS

The utility of growth differentiation factor-15 (GDF-15) in predicting long-term adverse outcomes in heart failure (HF) patients is not well established. This study explored the relationship between GDF-15 levels and adverse outcomes in HF patients across various ejection fraction (EF) phenotypes associated with coronary heart disease (CHD) and evaluated the added prognostic value of incorporating GDF-15 into the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score-based model.

METHODS AND RESULTS

This single-centre cohort study included 823 HF patients, categorized into 230 (27.9%) reduced EF (HFrEF), 271 (32.9%) mid-range EF (HFmrEF), and 322 (39.1%) preserved EF (HFpEF) groups. The median age was 68.0 years (range: 56.0-77.0), and 245 (29.8%) were females. Compared with the HFrEF and HFmrEF groups, the HFpEF group had a higher GDF-15 concentration (P = 0.002) and a higher MAGGIC risk score (P < 0.001). We examined the associations between GDF-15 levels and the risks of all-cause mortality and HF rehospitalization using Cox regression models. The C-index, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) metrics were employed to assess the incremental prognostic value. During the 9.4 year follow-up period, 425 patients died, and 484 were rehospitalized due to HF. Multivariate Cox regression analysis revealed that elevated GDF-15 levels were significantly associated with an increased risk of all-cause mortality [hazard ratio (HR) = 1.36, 95% confidence interval (CI): 1.20-1.54; P < 0.001] and HF rehospitalization (HR = 1.75, 95% CI: 1.57-1.95; P < 0.001) across all HF phenotypes. This association remained significant when GDF-15 was treated as a categorical variable (high GDF-15 group: all-cause death: HR = 1.73, 95% CI: 1.40-2.14; P < 0.001; HF rehospitalization: HR = 3.37, 95% CI: 2.73-4.15; P < 0.001). Inclusion of GDF-15 in the MAGGIC risk score-based model provided additional prognostic value for all HF patients (Δ C-index = 0.021, 95% CI: 0.002-0.041; IDI = 0.011, 95% CI: 0.001-0.025; continuous NRI = 0.489, 95% CI: 0.174-0.629) and HF rehospitalization (Δ C-index = 0.034, 95% CI: 0.005-0.063; IDI = 0.021, 95% CI: 0.007-0.032; continuous NRI = 0.307, 95% CI: 0.147-0.548), particularly in the HFpEF subgroup.

CONCLUSIONS

GDF-15 is identified as an independent risk factor for adverse outcomes in HF patients across the entire EF spectrum in the context of CHD. Integrating GDF-15 into the MAGGIC risk score-based model enhances its prognostic capability for adverse outcomes in the general HF population. This incremental prognostic effect was observed specifically in the HFpEF subgroup and not in other subgroups.

Empagliflozin combined with sacubitril/valsartan in hypertensive patients with heart failure: a retrospective study of efficacy and effect on blood pressure variability and cardiac function

OBJECTIVE

To evaluate the efficacy of empagliflozin combined with sacubitril/valsartan in treating hypertensive patients with heart failure (HF), focusing on its effects on blood pressure variability (BPV) and cardiac function.

METHODS

This retrospective study included 101 patients with hypertension and heart failure with reduced ejection fraction treated at Baoji High-Tech Hospital from October 2021 to October 2023. Patients were divided into two groups: an observation group (n=51), treated with both empagliflozin and sacubitril/valsartan, and a control group (n=50), treated with sacubitril/valsartan alone. We compared the therapeutic effects, BPV (including 24-hour, daytime, and nighttime systolic and diastolic BPV), cardiac function indicators, levels of N-terminal pro-brain natriuretic peptide (NT-proBNP) and cardiac troponin I (cTnI) before and after treatment, and the incidence of adverse reactions between the groups. Independent risk factors affecting treatment efficacy were also analyzed.

RESULTS

The total effective rate of treatment in the observation group was significantly higher than in the control group (P<0.05). Both groups showed reductions in daytime and nighttime systolic and diastolic BPV after treatment, with the observation group displaying more pronounced improvements (all P<0.05). Enhancements in cardiac ultrasound measurements, NT-proBNP levels, and cTnI levels were more significant in the observation group compared to the control group post-treatment (both P<0.05). There was no significant difference in the incidence of adverse reactions during treatment between the two groups (P>0.05). Age and comorbid diabetes were identified as independent risk factors for poor prognosis, while treatment with empagliflozin combined with sacubitril/valsartan was a protective factor.

CONCLUSION

Empagliflozin combined with sacubitril/valsartan significantly enhances treatment efficacy in hypertensive patients with heart failure, effectively improves cardiac function and BPV, and demonstrates good safety.

Prognostic significance of growth differentiation factor-15 across age in chronic heart failure

AIMS

Growth differentiation factor-15 (GDF15), a cytokine in the transforming growth factor family, is up-regulated in stress and inflammatory conditions and is elevated in patients with heart failure (HF). However, the age-specific attributes and prognostic significance of GDF15 across age remain unknown in chronic HF (CHF).

METHODS AND RESULTS

Serum levels of GDF15 were examined in 942 hypertensive patients (median 68 years) with CHF from the SUPPORT trial across the four age groups [under 50 (n = 73), 51-59 (n = 158), 60-69 (n = 296), and 70-79 years (n = 415)] and in the continuous spectrum. Clinical correlates of GDF15 were explored using the classic stepwise and LASSO (least absolute shrinkage and selection operator) regression approaches. Interaction terms with age were tested in the LASSO regression approach. The associations with the composite outcome of HF hospitalization or all-cause death were investigated across ages. Median GDF15 levels (pg/mL) increased along with aging, from 691 in under 50 years to 855 in 51-59 years, 1114 in 60-69 years, and 1516 in 70-79 years (trend P < 0.001). Age, sex, systolic blood pressure, history of diabetes, ischaemic heart disease, left ventricular (LV) end-systolic dimension, LV ejection fraction, estimated glomerular filtration rate, haemoglobin, N-terminal pro-brain natriuretic peptide (NT-proBNP), troponin, C-reactive protein, and the use of angiotensin-converting enzyme inhibitors, diuretics, and statins were mutually selected as clinical covariates of GDF15. The LASSO regression analysis identified significant interactions between age and the history of diabetes and NT-proBNP, with particularly robust associations in patients aged between 60 and 70 years. During the mean follow-up of 8.6 years, 474 composite endpoints of HF hospitalization or death occurred. GDF15 was associated with a higher risk of HF hospitalization or all-cause death [adjusted hazard ratio 1.84 (95% confidence interval 1.45-2.33)], with a particularly heightened risk in patients aged around 70 years (Pinteraction = 0.0008). The model with GDF15 on top of other established risk factors yielded marginally higher C-statistics compared with the model without GDF15 (0.803 and 0.796, P = 0.045). The additive value of GDF15 on top of other established risk factors appeared similar across ages. A universal cut-off value of 1400 pg/mL performed well in discriminating between those with and without HF hospitalization or death.

CONCLUSIONS

Some clinical correlates of GDF15 have an interaction with age. GDF15 is an important determinant of cardiovascular endpoints, particularly in patients aged around 70 years. The additive value of GDF15 appeared consistent across ages, suggesting the use of a universal cut-off value.

Using Omics to Identify Novel Therapeutic Targets in Heart Failure

Omics refers to the measurement and analysis of the totality of molecules or biological processes involved within an organism. Examples of omics data include genomics, transcriptomics, epigenomics, proteomics, metabolomics, and more. In this review, we present the available literature reporting omics data on heart failure that can inform the development of novel treatments or innovative treatment strategies for this disease. This includes polygenic risk scores to improve prediction of genomic data and the potential of multiomics to more efficiently identify potential treatment targets for further study. We also discuss the limitations of omic analyses and the barriers that must be overcome to maximize the utility of these types of studies. Finally, we address the current state of the field and future opportunities for using multiomics to better personalize heart failure treatment strategies.

Galectin-3 levels and long-term all-cause mortality and hospitalization in heart failure patients: a meta-analysis

AIMS

This meta-analysis investigated the dose-response relationship between circulating galectin-3 levels and adverse outcomes in patients with heart failure (HF).

METHODS AND RESULTS

PubMed and Embase were screened for studies on galectin-3 and HF. The outcomes of interest were all-cause mortality (ACM), and all-cause mortality or HF-related rehospitalization (ACM/HFR), with a follow-up time of more than 6 months. For categorical variables, comparisons between groups with the highest and lowest galectin-3 levels were pooled. For continuous variables, the risks of ACM and ACM/HFR increase per 1-standard deviation (SD) and 1-unit after logarithmic transformation galectin-3 levels were pooled. A random-effects model was employed to calculate the pooled results, and all pooled results were expressed as hazard ratios (HRs) and 95% confidence intervals (CIs). Besides, a dose-response analysis was performed. Twenty-four cohort studies were included. In HF patients, higher circulating galectin-3 levels were significantly associated with a higher risk of long-term ACM (HR, 1.65; 95% CI 1.28-2.13; I2 = 66%), and 1 ng/mL increase in galectin-3 was associated with a 4% (HR, 1.04; 95% CI 1.02-1.06; P = 0.002) increase in hazard. Similarly, higher circulating galectin-3 levels were significantly associated with a higher risk of long-term ACM/HFR (HR, 1.52; 95% CI, 1.15 to 2.00; I2 = 76%), and 1 ng/mL increase in galectin-3 was associated with a 3% (HR, 1.03; 95% CI 1.02-1.04; P < 0.001) increase in hazard. An increase of 1-SD in galectin-3 units was associated with a 29% increased hazard of long-term ACM (HR 1.29; 95% CI 1.13-1.48; I2 = 42%) and a 22% increased hazard of ACM/HFR (HR 1.22; 95% CI 1.07-1.38; I2 = 60%). Similarly, an increase of 1-log in galectin-3 units was associated with a 98% higher hazard of long-term ACM (HR 1.98; 95% CI 1.48-2.65; I2 = 41%) and an 83% higher hazard of ACM/HFR in HF patients (HR 1.83; 95% CI 1.02-3.28; I2 = 7%). Correlation analysis showed a moderate positive correlation between baseline galectin-3 and N terminal pro brain natriuretic peptide levels (r = 0.48, P = 0.045) and a weak negative correlation with eGFR (r = -0.39, P = 0.077).

CONCLUSIONS

Higher circulating galectin-3 levels after hospitalization of HF patients are linearly and positively associated with the risk of long-term ACM and ACM/HFR.

Methods to predict heart failure in diabetes patients

INTRODUCTION

Type 2 diabetes mellitus (T2DM) is one of the leading causes of cardiovascular disease and powerful predictor for new-onset heart failure (HF).

AREAS COVERED

We focus on the relevant literature covering evidence of risk stratification based on imaging predictors and circulating biomarkers to optimize approaches to preventing HF in DM patients.

EXPERT OPINION

Multiple diagnostic algorithms based on echocardiographic parameters of cardiac remodeling including global longitudinal strain/strain rate are likely to be promising approach to justify individuals at higher risk of incident HF. Signature of cardiometabolic status may justify HF risk among T2DM individuals with low levels of natriuretic peptides, which preserve their significance in HF with clinical presentation. However, diagnostic and predictive values of conventional guideline-directed biomarker HF strategy may be non-optimal in patients with obesity and T2DM. Alternative biomarkers affecting cardiac fibrosis, inflammation, myopathy, and adipose tissue dysfunction are plausible tools for improving accuracy natriuretic peptides among T2DM patients at higher HF risk. In summary, risk identification and management of the patients with T2DM with established HF require conventional biomarkers monitoring, while the role of alternative biomarker approach among patients with multiple CV and metabolic risk factors appears to be plausible tool for improving clinical outcomes.

Global longitudinal strain and plasma biomarkers for prognosis in heart failure complicated by diabetes: a prospective observational study

BACKGROUND

Heart failure (HF) and diabetes are associated with increased incidence and worse prognosis of each other. The prognostic value of global longitudinal strain (GLS) measured by cardiovascular magnetic resonance (CMR) has not been established in HF patients with diabetes.

METHODS

In this prospective, observational study, consecutive patients (n = 315) with HF underwent CMR at 3T, including GLS, late gadolinium enhancement (LGE), native T1, and extracellular volume fraction (ECV) mapping. Plasma biomarker concentrations were measured including: N-terminal pro B-type natriuretic peptide(NT-proBNP), high-sensitivity troponin T(hs-TnT), growth differentiation factor 15(GDF-15), soluble ST2(sST2), and galectin 3(Gal-3). The primary outcome was a composite of all-cause mortality or HF hospitalisation.

RESULTS

Compared to those without diabetes (n = 156), the diabetes group (n = 159) had a higher LGE prevalence (76 vs. 60%, p < 0.05), higher T1 (1285±42 vs. 1269±42ms, p < 0.001), and higher ECV (30.5±3.5 vs. 28.8±4.1%, p < 0.001). The diabetes group had higher NT-pro-BNP, hs-TnT, GDF-15, sST2, and Gal-3. Diabetes conferred worse prognosis (hazard ratio (HR) 2.33 [95% confidence interval (CI) 1.43-3.79], p < 0.001). In multivariable Cox regression analysis including clinical markers and plasma biomarkers, sST2 alone remained independently associated with the primary outcome (HR per 1 ng/mL 1.04 [95% CI 1.02-1.07], p = 0.001). In multivariable Cox regression models in the diabetes group, both GLS and sST2 remained prognostic (GLS: HR 1.12 [95% CI 1.03-1.21], p = 0.01; sST2: HR per 1 ng/mL 1.03 [95% CI 1.00-1.06], p = 0.02).

CONCLUSIONS

Compared to HF patients without diabetes, those with diabetes have worse plasma and CMR markers of fibrosis and a more adverse prognosis. GLS by CMR is a powerful and independent prognostic marker in HF patients with diabetes.

Heart Failure: Is There an Ideal Biomarker?

An always-rising prevalence of heart failure (HF), formerly classified as an emerging epidemic in 1997 and still representing a serious problem of public health, imposes on us to examine more in-depth the pathophysiological mechanisms it is based on. Over the last few years, several biomarkers have been chosen and used in the management of patients affected by HF. The research about biomarkers has broadened our knowledge by identifying some underlying pathophysiological mechanisms occurring in patients with both acute and chronic HF. This review aims to provide an overview of the role of biomarkers previously identified as responsible for the pathophysiological mechanisms subtending the disease and other emerging ones to conduct the treatment and identify possible prognostic implications that may allow the optimization of the therapy and/or influence a closer follow-up. Taking the high prevalence of HF-associated comorbidities into account, an integrated approach using various biomarkers has shown promising results in predicting mortality, a preferable risk stratification, and the decrease of rehospitalizations, reducing health care costs as well.

Novel Biomarkers and the Multiple-Marker Approach in Early Detection, Prognosis, and Risk Stratification of Cardiac Diseases: A Narrative Review

Cardiac diseases are a primary cause of mortality worldwide, underscoring the importance of early identification and risk stratification to enhance patient outcomes. Biomarkers have become important tools for the risk assessment of cardiovascular disease and monitoring disease progression. This narrative review focuses on the multiple-marker approach, which involves simultaneously evaluating several biomarkers for the early detection and risk stratification of heart diseases. The review covers the clinical applications of novel biomarkers, such as high-sensitivity troponin, galectin-3, source of tumorigenicity 2, B-type natriuretic peptide and N-terminal pro-B-type natriuretic peptide, growth differentiation factor 15, myeloperoxidase, fatty acid-binding protein, C-reactive protein, lipoprotein-associated phospholipase A2, microRNAs, circulating endothelial cells, and ischemia-modified albumin. These biomarkers have demonstrated potential in identifying people who are at high risk for developing heart disease and in providing prognostic data. Given the complexity of cardiac illnesses, the multiple-marker approach to risk assessment is extremely beneficial. Implementing the multiple-marker strategy can improve risk stratification, diagnostic accuracy, and patient care in heart disease patients.

sST2 Levels Show No Association with Helicobacter pylori Infection in Asymptomatic Patients: Implications for Biomarker Research

INTRODUCTION

Helicobacter pylori (H. pylori) is a prevalent stomach bacterium that can cause a range of clinical outcomes, including gastric cancer. In recent years, soluble suppression of tumorigenicity-2 (sST2) has gained attention as a biomarker associated with various diseases, such as gastric cancer. The purpose of this study was to explore the possible connection between H. pylori infection and sST2 levels in patients who do not exhibit symptoms.

METHODS

A total of 694 patients from the Salzburg Colon Cancer Prevention Initiative (Sakkopi) were included in the study. The prevalence of H. pylori infection was determined by histology, and sST2 levels were measured in serum samples. Clinical and laboratory parameters, such as age, sex, BMI, smoking status, hypertension, and metabolic syndrome, were also collected.

RESULTS

The median sST2 concentration was similar between patients with (9.62; 7.18-13.44 ng/mL; p = 0.66) and without (9.67; 7.08-13.06 ng/mL) H. pylori. Logistic regression analysis did not show any association (OR 1.00; 95%CI 0.97-1.04; p = 0.93) between sST2 levels and H. pylori infection, which remained so (aOR 0.99; 95%CI 0.95-1.03; p = 0.60) after adjustment for age, sex, educational status, and metabolic syndrome. In addition, sensitivity analyses stratified by age, sex, BMI, smoking status, educational status, and the concomitant diagnosis of metabolic syndrome could not show any association between sST2 levels and H. pylori infection.

CONCLUSION

The results indicate that sST2 may not serve as a valuable biomarker in the diagnosis and treatment of H. pylori infection. Our findings are of relevance for further research investigating sST2, as we could not find an influence of asymptomatic H. pylori infection on sST2 concentration. WHAT IS ALREADY KNOWN?: Soluble suppression of tumorigenicity-2 (sST2) has gained attention as a biomarker associated with various diseases, such as gastric cancer. WHAT IS NEW IN THIS STUDY?: The median sST2 concentration was similar between patients with (9.62; 7.18-13.44 ng/mL; p = 0.66) and without (9.67; 7.08-13.06 ng/mL) H. pylori. WHAT ARE THE FUTURE CLINICAL AND RESEARCH IMPLICATIONS OF THE STUDY FINDINGS?: The results indicate that sST2 may not serve as a valuable biomarker in the diagnosis and treatment of H. pylori infection.

The role of serial cardiac biomarkers in prognostication and risk prediction of chronic heart failure: additional scientific insights with hemodynamic feedback

INTRODUCTION

Heart failure (HF) is considered as a chronic long-term and lethal disease and will continue to be a major public health problem. Studying (circulating) biomarkers is a promising field of research and could be the first step toward HF tailored prognostic strategies as well as understanding the response to HF drugs in CHF patients.

AREAS COVERED

In literature, there has been considerable research on elevated biomarker levels that are related to a poor prognosis for HF. Since biomarker levels change over time, it is important to study serial (repeated) biomarker measurements which may help us better understand the dynamic course of HF illness. However, the majority of research focuses predominantly on baseline values of biomarkers. Additionally, remote monitoring devices, like sensors, can be used to link hemodynamic information to freshen biomarker data in order to further ameliorate the management of HF.

EXPERT OPINION

Novel biomarkers and additional scientific insights with hemodynamic feedback strongly aid in the prognostication and risk prediction of chronic HF.

The Therapeutic Role of SGLT-2 Inhibitors in Acute Heart Failure: From Pathophysiologic Mechanisms to Clinical Evidence with Pooled Analysis of Relevant Studies across Safety and Efficacy Endpoints of Interest

(1) Background: Sodium-glucose co-transporter-2 (SGLT-2) inhibitors constitute a novel drug class with remarkable cardiovascular benefits for patients with chronic heart failure (HF). Recently, this class has been utilized in acute HF as an additional treatment option to classic diuretics, which remain the cornerstone of treatment. (2) Methods: We attempted to identify those pathophysiologic mechanisms targeted by SGLT-2 inhibitors, which could be of benefit to patients with acute HF. We then conducted a comprehensive review of the literature within the PubMed database in order to identify relevant studies, both randomized controlled trials (RCTs) and observational studies, assessing the safety and efficacy of SGLT-2 inhibitors in acute HF. (3) Results: SGLT-2 inhibitors induce significant osmotic diuresis and natriuresis, decrease interstitial fluid volume and blood pressure, improve left ventricular (LV) function, ameliorate LV remodeling and prevent atrial arrhythmia occurrence, mechanisms that seem to be beneficial in acute HF. However, currently available studies, including six RCTs and two real-world studies, provide conflicting results concerning the true efficacy of SGLT-2 inhibitors, including "hard" surrogate endpoints. (4) Conclusions: Current evidence appears insufficient to substantiate the use of SGLT-2 inhibitors in acute HF. Further trials are required to shed more light on this issue.