Multimarker approach including CRP, sST2 and GDF-15 for prognostic stratification in stable heart failure

Heart dysfunction in a rat model with autosomal recessive polycystic kidney disease

Autosomal recessive polycystic kidney disease (ARPKD) is a congenital hepatorenal fibrocystic pathology and is one of the most significant childhood nephropathies leading to chronic kidney disease (CKD). While kidney damage has been well studied in this pathology, only a few studies have investigated specific cardiac damage during ARPKD. This study aimed to conduct a large analysis of heart dysfunction during the progression of CKD. ARPKD rats with the Pkhd1 gene mutation (IVS35-2A>T) were monitored for CKD progression and heart dysfunction via echocardiography. Heart fibrosis was assessed using Sirius red staining, and cardiokines mRNA expressions in heart tissue were analysed. ARPKD rats exhibited increased blood pressure, cardiac hypertrophy and thickening of the left ventricular posterior wall, correlated with elevated plasma creatinine levels. Diastolic dysfunction was evident, shown by altered E/A and E/e' ratios, which worsened with CKD severity. Heart fibrosis correlated with renal dysfunction, and fibrosis signalling pathways were activated, marked by increased galectin-3, collagen-1, fibroblast growth factor 23, suppressor of tumorigenicity 2 (ST2) and soluble ST2 expression. Growth differentiation factor 15 levels rose with CKD progression, while Irisin levels decreased, negatively correlating with the E/e' ratio. This study highlights diastolic dysfunction, heart fibrosis, and hypertrophy in ARPKD rats with severe CKD. These cardiac changes are linked to dysregulation in cardiokine signalling, providing new insights into uraemia-induced heart failure in ARPKD KEY POINTS: Autosomal recessive polycystic kidney disease (ARPKD) is a rare genetic disorder with a reduced life expectancy and a broad clinical spectrum including systemic hypertension, renal failure, portal hypertension, and renal and hepatic fibrosis. PCK rats have a spontaneous mutation in the Pkhd1 gene, the same gene affected in human ARPKD. PCK rats develop renal and hepatic cysts and other manifestations of human ARPKD. Changes in heart tissue (fibrosis, hypertrophy) and diastolic dysfunction (decreasing E/A and increasing E/e' ratios) worsen with renal dysfunction in PCK rats. Heart dysfunctions are associated with a dysregulation of cardiokine signalling such as Irisin, in PCK rats. Irisin could be a new marker of diastolic function in ARPKD and chronic kidney disease patients.

C-reactive protein levels and outcomes in infarct-related cardiogenic shock: data from the ECLS-SHOCK trial

AIMS

The impact of systemic inflammation in acute myocardial infarction complicated by cardiogenic shock (AMI-CS) is still a matter of debate. The present ECLS-SHOCK sub-study investigates the association of C-reactive protein (CRP) levels with short-term outcomes in patients with AMI-CS.

METHODS AND RESULTS

Patients with AMI-CS enrolled in the multicentre, randomized ECLS-SHOCK trial between 2019 and 2022 were included. The prognostic impact of CRP levels on admission, as well as the effect of extracorporeal life support (ECLS), stratified by CRP levels, was tested with regard to the primary endpoint of 30-day all-cause mortality. In 371 patients with AMI-CS and available CRP level on baseline, the median CRP level was 18.0 mg/L. Patients with CRP levels in the highest tertile were older and less often resuscitated from cardiac arrest. The highest tertile (i.e. CRP >61.0 mg/L) was associated with an increased risk of 30-day all-cause mortality compared with patients with lower CRP levels (lowest tertile: ≤5.0 mg/L) [adjusted odds ratio: 3.54; 95% confidence interval (CI) 1.88-6.68; P = 0.001]. The use of ECLS did not reduce 30-day all-cause mortality, irrespective of CRP levels on admission. The additional inclusion of CRP to the IABP-SHOCK II score was associated with a slight improvement of the prediction of 30-days all-cause mortality (area under the curve: 0.74; 95% CI 0.68-0.79).

CONCLUSION

Higher CRP levels were independently associated with the risk of 30-day all-cause mortality in AMI-CS. The additional inclusion of CRP to a validated CS risk score may further improve the prediction of short-term prognosis.

New Biomarkers in the Prognostic Assessment of Acute Heart Failure with Reduced Ejection Fraction: Beyond Natriuretic Peptides

Natriuretic peptides are established biomarkers related to the prognosis of heart failure. New biomarkers have emerged in the field of cardiovascular disease. The prognostic value of these biomarkers in heart failure with reduced left ventricular ejection fraction is not well-established. We conducted a prospective, single-centre study, including (July 2019 to March 2023) 104 patients being consecutively admitted with a diagnosis of acute heart failure with reduced ejection fraction decompensation. The median follow-up was 23.5 months, during which 20 deaths (19.4%) and 21 readmissions for heart failure (20.2%) were recorded. Plasma biomarkers, such as NT-proBNP, GDF-15, sST2, suPAR, and FGF-23, were associated with an increased risk of all-cause mortality. However, a Cox regression analysis showed that the strongest predictors of mortality were an estimated glomerular filtration rate (HR 0.96 [0.93-0.98]), GDF-15 (HR 1.3 [1.16-1.45]), and sST2 (HR 1.2 [1.11-1.35]). The strongest predictive model was formed by the combination of the glomerular filtration rate and sST2 (C-index 0.758). In conclusion, in patients with acute decompensated heart failure with reduced ejection fraction, GDF-15 and sST2 showed the highest predictive power for all-cause mortality, which was superior to other established biomarkers such as natriuretic peptides. GDF-15 and sST2 may provide additional prognostic information to improve the prognostic assessment.

Factors Associated With the Development of Heart Failure Following Acute Coronary Syndrome: A Systematic Review and Meta-Analysis

Acute coronary syndrome (ACS) remains a major global health burden, encompassing a spectrum of conditions from unstable angina to acute myocardial infarction. Despite advancements in early detection and management, ACS is often complicated by the development of heart failure. This systematic review and meta-analysis aimed to identify factors associated with the development of heart failure following acute coronary syndrome. A comprehensive search was conducted across PubMed, Embase, Cochrane Library, and Web of Science from January 2018 to November 2024. Studies evaluating clinical or biochemical predictors of heart failure development in adult patients with acute coronary syndrome were included. Out of the initially identified studies, nine studies met the inclusion criteria. The Newcastle-Ottawa Scale was used to assess the quality of included studies, with most studies demonstrating high quality. The pooled analysis revealed that older age, female sex, diabetes, hypertension, chronic obstructive pulmonary disease, atrial fibrillation, multivessel coronary disease, and reduced left ventricular ejection fraction were significant predictors of heart failure development following acute coronary syndrome. The presence of atrial fibrillation emerged as the strongest predictor, followed by reduced left ventricular ejection fraction and chronic obstructive pulmonary disease. While complete revascularization showed a protective trend, this association did not reach statistical significance. The findings were limited by the predominantly retrospective nature of included studies and heterogeneity in the assessment of certain risk factors. Future research should focus on prospective studies with larger cohorts and comprehensive evaluation of additional factors such as treatment delays and revascularization strategies. Understanding these predictors can facilitate early risk stratification and guide targeted interventions, potentially improving outcomes for patients with acute coronary syndrome.

Severe Coronary Artery Calcifications in Chronic Kidney Disease Patients, Coupled with Inflammation and Bone Mineral Disease Derangement, Promote Major Adverse Cardiovascular Events through Vascular Remodeling

INTRODUCTION

Cardiovascular (CV) diseases persist as the foremost cause of morbidity/mortality among chronic kidney disease (CKD) patients. This paper examines the values of coronary artery calcification (CAC) and biomarkers of CV on major adverse CV events (MACE)/CV death in a sample of 425 non-dialysis CKD patients.

METHODS

At inclusion, patients underwent chest multidetector computed tomography for CAC scoring and biomarkers of CV risk including CRP, mineral metabolism markers, fibroblast growth factor-23 (FGF-23), α-Klotho, osteoprotegerin, tartrate-resistant acid phosphatase 5b (TRAP5b), sclerostin, matrix gla protein (both dephosphorylated uncarboxylated [dp-ucMGP] and total uncarboxylated), and growth differentiation factor-15 (GDF-15) were measured. Patients were followed for a median of 3.61 years (25th-75th percentiles = 1.92-6.70).

RESULTS

Our results reported that CAC was a major independent factor of MACE/CV mortality showing a hazard ratio of 1.71 95% (confidence interval = 1.00-2.93) after adjustment for age, gender, diabetes, and history of CV events for patients with CAC >300. Interestingly, CAC effect was further enhanced in the presence of low levels of 25(OH) vitamin D3 or α-Klotho and high levels of intact parathyroid hormone (PTH), high-sensitive C reactive protein, FGF-23, osteoprotegerin, sclerostin, dp-ucMGP, or GDF-15.

CONCLUSION

CAC constitutes a significant CV risk, further exacerbated by inflammation, hyperparathyroidism, and regulation of bone molecules implicated in calcification progression. This finding aligns with the original concept of multiple hits. Consequently, addressing the detrimental environment that fosters plaque vulnerability, reducing chronic low-grade inflammation, and normalizing mineral metabolism markers (such as vitamin D and PTH) and bone-regulating molecules may emerge as a viable therapeutic strategy.

Integrated biomarker profiling for enhanced heart failure management: a comprehensive study on the application of chemiluminescence detection of GDF-15 and multi-index models

BACKGROUND

Growth differentiation factor 15 (GDF-15) holds promise as a novel marker for heart failure. However, current detection methods fall short of meeting essential clinical requirements.

OBJECTIVES

The aim of this investigation was to assess the clinical significance of serum GDF-15 detection through the chemiluminescence method and to enhance its clinical application for predicting and evaluating heart failure in patients.

METHODS

A total of 122 patients were included in the study. Serum GDF-15 levels were assessed using the chemiluminescence method and compared with results for NT-proBNP, N-terminal pro-brain natriuretic peptide (NT-proBNP), growth stimulation expressed gene 2 (ST2), high-sensitivity C-reactive protein (hs-CRP), and left ventricular ejection fraction (LVEF). Additionally, we conducted an analysis to evaluate the correlation between these indicators and heart failure events.

RESULTS

LVEF, ST2, NT-proBNP, and GDF-15 exhibited significant associations with heart failure. In the multivariate proportional hazard analysis, subsequent to adjusting for the effects of other markers, however, only LVEF and GDF-15 retained their associations with heart failure events. Notably, GDF-15 emerged as the exclusive marker suitable for diagnosing heart failure with preserved ejection fraction.

CONCLUSION

The chemiluminescence method proved efficient in the rapid and sensitive detection of GDF-15 in patients with heart failure. Additionally, GDF-15 combined with other markers created a robust multi-index model. This model is valuable for heart failure diagnosis, treatment, and monitoring, with broad clinical applicability.

Development of interpretable machine learning models to predict in-hospital prognosis of acute heart failure patients

AIMS

In recent years, there has been remarkable development in machine learning (ML) models, showing a trend towards high prediction performance. ML models with high prediction performance often become structurally complex and are frequently perceived as black boxes, hindering intuitive interpretation of the prediction results. We aimed to develop ML models with high prediction performance, interpretability, and superior risk stratification to predict in-hospital mortality and worsening heart failure (WHF) in patients with acute heart failure (AHF).

METHODS AND RESULTS

Based on the Kyoto Congestive Heart Failure registry, which enrolled 4056 patients with AHF, we developed prediction models for in-hospital mortality and WHF using information obtained on the first day of admission (demographics, physical examination, blood test results, etc.). After excluding 16 patients who died on the first or second day of admission, the original dataset (n = 4040) was split 4:1 into training (n = 3232) and test datasets (n = 808). Based on the training dataset, we developed three types of prediction models: (i) the classification and regression trees (CART) model; (ii) the random forest (RF) model; and (iii) the extreme gradient boosting (XGBoost) model. The performance of each model was evaluated using the test dataset, based on metrics including sensitivity, specificity, area under the receiver operating characteristic curve (AUC), Brier score, and calibration slope. For the complex structure of the XGBoost model, we performed SHapley Additive exPlanations (SHAP) analysis, classifying patients into interpretable clusters. In the original dataset, the proportion of females was 44.8% (1809/4040), and the average age was 77.9 ± 12.0. The in-hospital mortality rate was 6.3% (255/4040) and the WHF rate was 22.3% (900/4040) in the total study population. In the in-hospital mortality prediction, the AUC for the XGBoost model was 0.816 [95% confidence interval (CI): 0.815-0.818], surpassing the AUC values for the CART model (0.683, 95% CI: 0.680-0.685) and the RF model (0.755, 95% CI: 0.753-0.757). Similarly, in the WHF prediction, the AUC for the XGBoost model was 0.766 (95% CI: 0.765-0.768), outperforming the AUC values for the CART model (0.688, 95% CI: 0.686-0.689) and the RF model (0.713, 95% CI: 0.711-0.714). In the XGBoost model, interpretable clusters were formed, and the rates of in-hospital mortality and WHF were similar among each cluster in both the training and test datasets.

CONCLUSIONS

The XGBoost models with SHAP analysis provide high prediction performance, interpretability, and reproducible risk stratification for in-hospital mortality and WHF for patients with AHF.

Association between growth differentiation factor-15 and adverse outcomes among patients with heart failure: A systematic literature review

Growth differentiation factor-15 (GDF-15) is an emerging biomarker in several conditions. This SLR, conducted following PRISMA guidelines, examined the association between GDF-15 concentration and range of adverse outcomes in patients with heart failure (HF). Publications were identified from Embase® and Medline® bibliographic databases between January 1, 2014, and August 23, 2022 (congress abstracts: January 1, 2020, to August 23, 2022). Sixty-three publications met the eligibility criteria (55 manuscripts and 8 abstracts; 45 observational studies and 18 post hoc analyses of randomized controlled trials [RCTs]). Of the 19 outcomes identified, the most frequently reported longitudinal outcomes were mortality (n = 32 studies; all-cause [n = 27] or cardiovascular-related [n = 6]), composite outcomes (n = 28; most commonly mortality ± hospitalization/rehospitalization [n = 19]), and hospitalization/re-hospitalization (n = 11). The most common cross-sectional outcome was renal function (n = 22). Among longitudinal studies assessing independent relationships with outcomes using multivariate analyses (MVA), a significant increase in risk associated with higher baseline GDF-15 concentration was found in 22/24 (92 %) studies assessing all-cause mortality, 4/5 (80 %) assessing cardiovascular-related mortality, 13/19 (68 %) assessing composite outcomes, and 4/8 (50 %) assessing hospitalization/rehospitalization. All (7/7; 100 %) of the cross-sectional studies assessing the relationship with renal function by MVA, and 3/4 (75 %) assessing exercise capacity, found poorer outcomes associated with higher baseline GDF-15 concentrations. This SLR suggests GDF-15 is an independent predictor of mortality and other adverse but nonfatal outcomes in patients with HF. A better understanding of the prognostic role of GDF-15 in HF could improve clinical risk prediction models and potentially help optimize treatment regimens.

Correlations between soluble ST2 concentration and the nutritional status in patients with heart failure with reduced ejection fraction - cross-sectional study

BACKGROUND

Heart failure (HF) is a global problem that stimulates research on markers associated with the diagnosis and course of the disease. Soluble suppression of tumorigenicity-2 (sST2) is a receptor for interleukin-33 and is associated with increased mortality rates in HF patients. Malnutrition in HF is also connected with inflammation and is associated with worse prognosis. The present study aimed to evaluate the relationship between sST2 concentration and the nutritional status of patients with HF with reduced ejection fraction (HFrEF).

MATERIAL AND METHODS

138 patients with HFrEF were enrolled in this cross-sectional study. Nutritional status was assessed using Geriatric Nutritional Risk Index (GNRI) and Controlling Nutritional Status (CONUT). The mean age was 53.6 ± 10.8 years.

RESULTS

In the group with sST2 > 32.9 ng/mL, the GNRI score was higher and the associated risk of malnutrition was more common (29% vs. 12%; p = 0.011). Coherently in the group with sST2 > 32.9 ng/mL the median CONUT score was worse (2 [IQR 1-3] vs. 1 [IQR 0-2]; p = 0.0016) and the risk of malnutrition defined by this tool was also more prevalent (p = 0.0079). This relationship was independent of the concentration of natriuretic peptides, age and sex.

CONCLUSIONS

According to available research, this research is the first study showing that sST2 concentration is related with nutritional status in HFrEF patients. sST2 may help to evaluate the necessity for nutritional intervention in HFrEF patients.

Myocardial fibrosis in right heart dysfunction

Cardiac fibrosis, associated with right heart dysfunction, results in significant morbidity and mortality. Stimulated by various cellular and humoral stimuli, cardiac fibroblasts, macrophages, CD4+ and CD8+ T cells, mast and endothelial cells promote fibrogenesis directly and indirectly by synthesizing numerous profibrotic factors. Several systems, including the transforming growth factor-beta and the renin-angiotensin system, produce type I and III collagen, fibronectin and α-smooth muscle actin, thus modifying the extracellular matrix. Although magnetic resonance imaging with gadolinium enhancement remains the gold standard, the use of circulating biomarkers represents an inexpensive and attractive means to facilitate detection and monitor cardiovascular fibrosis. This review explores the use of protein and nucleic acid (miRNAs) markers to better understand underlying pathophysiology as well as their role in the development of therapeutics to inhibit and potentially reverse cardiac fibrosis.

Therapeutic effect of adipose-derived stem cells injected into pericardial cavity in rat heart failure

AIMS

There are few studies on the treatment of heart failure by injecting stem cells into the pericardial cavity. Can the cells injected into the pericardial cavity migrate through the epicardium to the myocardial tissue? Whether there is therapeutic effect and the mechanism of therapeutic effect are still unclear. This study investigated the therapeutic efficacy and evidence of cell migration of adipose-derived stem cells (ADSCs) injected into the pericardial cavity in rat heart failure. The aim of this study is to demonstrate the effectiveness and mechanism of treating heart failure by injecting stem cells into the pericardial cavity, laying an experimental foundation for a new approach to stem cell therapy for heart disease in clinical practice.

METHODS AND RESULTS

The inguinal adipose tissue of male SD rats aged 4-6 weeks was taken, ADSCs were isolated and cultured, and their stem cell surface markers were identified. Forty rats aged 6-8 weeks were divided into sham operation group, heart failure group, and treatment group; there were 15 rats in the heart failure group and 15 rats in the treatment group. The heart failure model was established by intraperitoneal injection of adriamycin hydrochloride. The heart function of the three groups was detected by small animal ultrasound. The model was successful if the left ventricular ejection fraction < 50%. The identified ADSCs were injected into the pericardial cavity of rats in the treatment group. The retention of transplanted cells in pericardial cavity was detected by small animal in vivo imaging instrument, and the migration of transplanted cells into myocardial tissue was observed by tissue section and immunofluorescence. Western blotting and immunohistochemical staining were used to detect brain natriuretic peptide (BNP), α-smooth muscle actin (α-SMA), and C-reactive protein (CRP). ADSCs express CD29, CD44, and CD73. On the fourth day after injection of ADSCs into pericardial cavity, they migrated to myocardial tissue through epicardium and gradually diffused to deep myocardium. The cell density in the pericardial cavity remains at a high level for 10 days after injection and gradually decreases after 10 days. Compared with the heart failure group, the expression of BNP and α-SMA decreased (P < 0.05 and P < 0.001, respectively), and the expression of CRP in the treatment group was higher than that in the heart failure group (P < 0.0001). A small amount of BNP, α-SMA, and CRP was expressed in the myocardium of the sham operation group. After injection of ADSCs, interleukin-6 in myocardial tissue was significantly lower than that in heart failure myocardium (P < 0.01). After treatment, vascular endothelial growth factor A was significantly higher than that of heart failure (P < 0.01).

CONCLUSIONS

Pericardial cavity injected ADSCs can penetrate the epicardium, migrate into the myocardium, and have a therapeutic effect on heart failure. Their mechanism of action is to exert therapeutic effects through anti-inflammatory, anti-fibrosis, and increased angiogenesis.

HFpEF: New biomarkers and their diagnostic and prognostic value

Heart failure characterized by preserved ejection fraction (HFpEF) poses a substantial challenge to healthcare systems worldwide and the diagnostic algorithms used currently mirror those utilized for reduced Ejection Fraction (HFrEF). This literature review aims to explore the diagnostic and prognostic credibility of numerous emerging biomarkers associated with HFpEF. We conducted a thorough analysis of the available medical literature and selected the biomarkers which yielded the maximum amount of published information. After reviewing the current literature we conclude that there are no biomarkers at present which are superior to natriuretic peptides in terms of diagnosis and prognosis of HFpEF. However biomarkers like Suppression of tumorigenicity2, Galectin3 and microRNAs are promising and can be researched further for future use. Although newer individual biomarkers may not be useful in diagnosing and prognosis of HFpEF, we believe that a specific biomarker profile may be identified in each phenotype,which can be used in future.

Role of Clinical Risk Factors and B-Type Natriuretic Peptide in Assessing the Risk of Asymptomatic Cardiotoxicity in Breast Cancer Patients in Kazakhstan

The asymptomatic progression of chemotherapy-induced cardiotoxicity poses a significant risk to breast cancer patients. In the present single-center cohort study, a predictive model for evaluating the risk of cardiotoxicity during or by the end of chemotherapy was designed. The risk-prediction nomogram was delineated and assessed. In total, 34 patients out of 120 developed asymptomatic cardiotoxicity (28.3%). Of six explored biomarkers, only B-type natriuretic peptide showed a reliable pattern of incremental increase, revealing statistical significance between cardiotoxicity "+" and "-" groups by visit 4 or by the 9th month of monitoring (p 0.006). The following predictors were included in the model: age, hypertension, diabetes mellitus, baseline glomerular filtration rate, 6 min walk test measured at visit 4, BNP values at visit 4, left ventricular ejection fraction levels at visit 4, a total dose of radiotherapy received, and anthracycline cumulative doses. The model's AUC was 0.72 (95% CI 0.59; 0.86), evidencing the satisfactory predictive ability of the model; sensitivity 100% (95% CI 90.36; 100.0) at a specificity of 66.67% (95% CI 50.33; 79.79); PPV 54.1% [95% CI 47.13; 60.91]; PVN 100% [95% CI 94.64; 100.00]. The calibration plot showed satisfactory agreement between predicted and actual chances (p = 0.98). The designed model can be applied in settings lacking speckle tracking echocardiography.

Growth Differentiation Factor 15 (GDF-15), a New Biomarker in Heart Failure Management

The emergence of biomarkers across medicine's subspecialties continues to evolve. In essence, a biomarker is a biological observation that clearly substitutes a clinical endpoint or intermediate outcome not only are more difficult to observe but also, biomarkers are easier, less expensive and could be measured over shorter periods. In general, biomarkers are versatile and not only used for disease screening and diagnosis but, most importantly, for disease characterization, monitoring, and determination of prognosis as well as individualized therapeutic responses. Obviously, heart failure (HF) is no exception to the use of biomarkers. Currently, natriuretic peptides are the most used biomarkers for both diagnosis and prognostication, while their role in the monitoring of treatment is still debatable. Although several other new biomarkers are currently under investigation regarding diagnosis and determination of prognosis, none of them are specific for HF, and none are recommended for routine clinical use at present. However, among these emerging biomarkers, we would like to highlight the potential for growth differentiation factor (GDF)-15 as a plausible new biomarker that could be helpful in providing prognostic information regarding HF morbidity and mortality.

Incremental prognostic value of biomarkers in PARADIGM-HF

AIMS

It is uncertain how much candidate biomarkers improve risk prediction when added to comprehensive models including routinely collected clinical and laboratory variables in heart failure.

METHODS AND RESULTS

Aldosterone, cystatin C, high-sensitivity troponin T (hs-TnT), galectin-3, growth differentiation factor-15 (GDF-15), kidney injury molecule-1, matrix metalloproteinase-2 and -9, soluble suppression of tumourigenicity-2, tissue inhibitor of metalloproteinase-1 (TIMP-1) and urinary albumin to creatinine ratio were measured in 1559 of PARADIGM-HF participants. We tested whether these biomarkers, individually or collectively, improved the performance of the PREDICT-HF prognostic model, which includes clinical, routine laboratory, and natriuretic peptide data, for the primary endpoint and cardiovascular and all-cause mortality. The mean age of participants was 67.3 ± 9.9 years, 1254 (80.4%) were men and 1103 (71%) were in New York Heart Association class II. During a mean follow-up of 30.7 months, 300 patients experienced the primary outcome and 197 died. Added individually, only four biomarkers were independently associated with all outcomes: hs-TnT, GDF-15, cystatin C and TIMP-1. When all biomarkers were added simultaneously to the PREDICT-HF models, only hs-TnT remained an independent predictor of all three endpoints. GDF-15 also remained predictive of the primary endpoint; TIMP-1 was the only other predictor of both cardiovascular and all-cause mortality. Individually or in combination, these biomarkers did not lead to significant improvements in discrimination or reclassification.

CONCLUSIONS

None of the biomarkers studied individually or collectively led to a meaningful improvement in the prediction of outcomes over what is provided by clinical, routine laboratory, and natriuretic peptide variables.

Prognostic Value of Combined Biomarkers in Patients With Heart Failure: The Heartmarker Score

Background

Heart failure (HF) biomarkers have prognostic value. The aim of this study was to combine HF biomarkers into an objective classification system for risk stratification of patients with HF.

Methods

HF biomarkers were analyzed in a population of HF outpatients and expressed relative to their cut-off values (N-terminal pro-B-type natriuretic peptide [NT-proBNP] >1,000 pg/mL, soluble suppression of tumorigenesis-2 [ST2] >35 ng/mL, growth differentiation factor-15 [GDF-15] >2,000 pg/mL, and fibroblast growth factor-23 [FGF-23] >95.4 pg/mL). Biomarkers that remained significant in multivariable analysis were combined to devise the Heartmarker score. The performance of the Heartmarker score was compared to the widely used New York Heart Association (NYHA) classification based on symptoms during ordinary activity.

Results

HF biomarkers of 245 patients were analyzed, 45 (18%) of whom experienced the composite endpoint of HF hospitalization, appropriate implantable cardioverter-defibrillator shock, or death. HF biomarkers were elevated more often in patients that reached the composite endpoint than in patients that did not reach the endpoint. NT-proBNP, ST2, and GDF-15 were independent predictors of the composite endpoint and were thus combined as the Heartmarker score. The event-free survival and distance covered in 6 minutes of walking decreased with an increasing Heartmarker score. Compared with the NYHA classification, the Heartmarker score was better at discriminating between different risk classes and had a comparable relationship to functional capacity.

Conclusions

The Heartmarker score is a reproducible and intuitive model for risk stratification of outpatients with HF, using routine biomarker measurements.

Clinical effect of Danshen decoction in patients with heart failure: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

The incidence of heart failure (HF) is increasing year by year, posing a great threat to human health. Although pharmacotherapy has been able to significantly prolong patient survival, pharmacotherapy for HF still has limitations due to its complex pathogenesis and considerable individual variability, there is a great need to explore complementary and alternative therapies to slow down the progression of HF. Danshen decoction is used to treat several cardiovascular diseases including HF, but the efficacy of stabilization is uncertain. This meta-analysis evaluated the clinical efficacy of Danshen Decoction for the treatment of HF.

METHODS

The registration number assigned to this meta-analysis on the PROSPERO platform is CRD42022351918. Four databases were searched, and randomized controlled trials (RCTs) of Danshen decoction combined with conventional treatment (CT) of HF were screened, CT included medical treatments other than Danshen Decoction to which the patient was treated (including but not limited to angiotensin converting enzyme inhibitor, angiotensin receptor blocker, angiotensin receptor neprilysin inhibitors, β-blockers, diuretics, mineralcorticoid recept antagonist etc.). The clinical efficacy rate (CER), left ventricular ejection fraction (LVEF), left ventricular end-diastolic dimension (LVEDD), left ventricular end-systolic diameter (LVESD), brain natriuretic peptide (BNP), N-terminal pro-B type natriuretic peptide (NT-proBNP) and hypersensitive C-reactive protein (hs-CRP) were included as outcome indicators. The GRADE grading scale was used to grade the above indicators. The Cochrane risk-of-bias tool and the Jadad quality scale were used to assess the methodological quality of RCTs. Finally, RevMan V.4.5 software was used for data synthesis, 95% confidence intervals (CI) for dichotomous data, risk ratios (RR), and mean differences (MD) for continuous variables were calculated, Chi-square and I2 were used for heterogeneity assessment.

RESULTS

Nine RCTs with a total of 855 patients were included in this study, and all included RCTs had a low overall quality risk of bias and high quality of reported information. The results of the meta-analysis showed that compared with the use of CT, CER (%) was significantly improved due to Danshen decoction combined with CT (MD = 3.95, 95% CI [2.58, 6.04], P < 0.00001), LVEF (%) was significantly improved (MD = 5.46, 95% CI [5.32, 5.60], P < 0.00001), LVEDD (mm) was significantly reduced (MD = -5.27, 95% CI [-6.21, -4.32], P < 0.00001), LVESD (mm) was significantly reduced (MD = -4.60, 95% CI [-5.87, -3.32], P < 0.00001), BNP (pg/mL) was significantly reduced (MD = -88.61, 95% CI [-121.98, -55.24], P < 0.00001), NT-proBNP (pg/mL) was significantly decreased (SMD = -3.33, 95% CI [-5.92, -0.73], P = 0.01), hs-CRP (mg/L) was significantly decreased (MD = -2.73, 95% CI [-4.11, -1.34], P = 0.0001). The quality of the GRADE evidence for all outcomes was moderate to low and no RCTs reported adverse events.

CONCLUSION

Our research demonstrates that Danshen decoction is an effective and safe treatment option for HF. Nevertheless, considering the limitations of methodological and the quality of RCTs, more rigorous, large-scale, multicenter randomized clinical trials are needed to further evaluate the efficacy and safety of Danshen decoction in the treatment of HF patients.

Insulin resistance and heart failure with preserved ejection fraction. Pathogenetic and therapeutic crossroads

Insulin resistance, which is a fundamental pathogenetic factor of prediabetes, is closely associated with abdominal obesity on the one hand and the development of cardiovascular diseases, heart failure (HF), on the other. The pathogenetic role of insulin resistance is multifaceted and consists in the acceleration of atherosclerosis, the formation of left ventricular myocardial hypertrophy, including through mechanisms that do not depend on blood pressure, as well as the development of its diastolic dysfunction. The latter is the starting point for starting HF with preserved ejection fraction (HFpEF).

Compared with patients with HF with reduced ejection fraction, the presence of HFpEF determines a higher frequency of hospitalizations not due to decompensation of heart failure, but due to concomitant diseases, such as destabilization of the course of arterial hypertension, decompensation of type 2 diabetes mellitus, curation of which, in general, has a greater impact in terms of improving prognosis. Thus, in patients with prediabetes and HFpEF, the correction of insulin resistance as the underlying cause and trigger of cardiometabolic disorders can potentially improve not only insulin-glucose homeostasis, but also the parameters of myocardial diastolic function. This literature review is devoted to the accumulated experience of using metformin as a «strategic» antidiabetic drug in HFpEF and considering potential new points of its application as a protector of the cardiovascular system.

Early Diagnosis of Chemotherapy-Linked Cardiotoxicity in Breast Cancer Patients Using Conventional Biomarker Panel: A Prospective Study Protocol

The prognosis of cancer treatment depends on, among other aspects, the cardiotoxicity of chemotherapy. This research aims to create a feasible algorithm for the early diagnosis of antitumor therapy cardiotoxicity in breast cancer patients. The paper represents a protocol for a prospective cohort study with N 120 eligible participants admitted for treatment with anthracyclines and/or trastuzumab. These patients will be allocated into four risk groups regarding potential cardiotoxic complications. Patients will be examined five times every three months for six biomarkers,: cardiac troponin I (cTnI), brain natriuretic peptide (BNP), C-reactive protein (CRP), myeloperoxidase (MPO), galectin-3 (Gal-3), and D-dimer, simultaneously with echocardiographic methods, including speckle tracking. The adjusted relative risk (aOR) of interrupting an entire course of chemotherapy due to cardiotoxic events will be assessed using multiple analyses of proportional Cox risks. The Cox model will also assess associations between baseline biomarker values and time to cardiotoxic events. Moreover, partly conditional survival models will be applied to determine associations between repeated assessments of changes in biomarkers from baseline and time to cancer therapy-related cardiac dysfunction. All models will be adjusted for cancer therapy regimen, baseline LVEF, groups at risk, baseline biomarker values, and age. The decision-tree and principal component analysis (PCA) methods will also be applied. Thus, feasible patterns will be detected.

Exploring the Link Between the Serum/Blood Levels of Heavy Metals (Pb, As, Cd, and Cu) and 2 Novel Biomarkers of Cardiovascular Stress (Growth Differentiation Factor 15 and Soluble Suppression of Tumorigenicity 2) in Copper Smelter Workers

OBJECTIVE

Studying the association between the occupational exposure to Pb, As, Cd, and Cu with the serum levels of 2 novel biomarkers of cardiovascular stress; growth differentiation factor 15 and soluble suppression of tumorigenicity 2, in some Egyptian Cu smelter workers.

METHODS

Forty-one exposed workers and 41 administrative controls were clinically evaluated. Serum/blood levels of heavy metals and biomarkers were measured for both groups.

RESULTS

The smelter workers showed significantly elevated levels of heavy metals and biomarkers compared with controls. The elevated serum levels of both biomarkers were significantly and positively correlated with each other, the levels of heavy metals, and the duration of employment of the exposed workers.

CONCLUSIONS

There was a significant association between the levels of heavy metals and both biomarkers among the smelter workers. Further prospective studies should be performed.

Effect of β-Blocker Therapy on the Level of Soluble ST2 Protein in Pediatric Dilated Cardiomyopathy

Background and Objectives: A prognosis for kids with pediatric dilated cardiomyopathy (PDCM) is urgently needed to identify high-risk patients. This study aimed to determine the association of levels and soluble suppression of tumorigenicity 2 (sST2) and medical therapy of β-blocker inhibitors with the risk of adverse events in PDCM. Materials and Methods: A total of 124 patients with PDCM were enrolled after admission from 2 centers in China and followed up for adverse events (death, cardiac transplantation, and heart-failure-related rehospitalization). Based on a median sST2 level and the usage of β-blocker inhibitors, patients were divided into four groups. The Cox proportional hazard model was used to assess the risk of incident adverse events. Results: The median level of sST2 was 23.77 ng/mL, and 53 (42.7%) patients received β-blocker treatment. Over a median follow-up of 678 days, 37 (29.8%) adverse events occurred. Compared with patients with sST2 < median and without β-blocker, patients with sST2 ≥ median and without β-blocker (HR: 7.01; 95% CI: 1.21−40.45), followed by those with sST2 ≥ median and use of β-blocker had the highest risk of adverse events (hazard ratio (HR): 5.51; 95% confidence interval (CI): 1.17−25.84). However, a significant association was not observed in patients with sST2 < median and use of β-blocker. These associations were consistent across different subgroups. Conclusions: A higher level of sST2 was associated with a higher risk of adverse events in patients with PDCM, and β-blocker treatment for children with high levels of sST2 can effectively avoid adverse events.

Novel Biomarkers of Kidney Disease in Advanced Heart Failure: Beyond GFR and Proteinuria

PURPOSE

Kidney disease is a common finding in patients with heart failure and can significantly impact treatment decisions and outcomes. Abnormal kidney function is currently determined in clinical practice using filtration markers in the blood to estimate glomerular filtration rate, but the manifestations of kidney disease in the setting of heart failure are much more complex than this. In this manuscript, we review novel biomarkers that may provide a more well-rounded assessment of kidney disease in patients with heart failure.

RECENT FINDINGS

Galectin-3, ST2, FGF-23, suPAR, miRNA, GDF-15, and NAG may be prognostic of kidney disease progression. L-FABP and suPAR may help predict acute kidney injury (AKI). ST2 and NAG may be helpful in diuretic resistance. Several biomarkers may be useful in determining prognosis of long-term kidney disease progression, prediction of AKI, and development of diuretic resistance. Further research into the mechanisms of kidney disease in heart failure utilizing many of these biomarkers may lead to the identification of therapeutic targets.

Characterization of Circulating and Urinary Biomarkers in the Fontan Circulation and Their Correlation With Cardiac Imaging

Several circulating biomarkers have been found to play a role in the surveillance and risk stratification of heart failure without congenital heart disease, but these have not been widely studied in patients with single ventricles palliated with a Fontan operation. Imaging predictors of worse outcomes in this population include ventricular dilation and dysfunction. Patients who weighed >30 kg with a Fontan circulation referred for cardiac magnetic resonance imaging were invited to participate in the study. Blood and urine samples were obtained at the time of imaging and multiple conventional and novel biomarkers were measured. A total of 82 patients with a median age of 18 years were enrolled. Among the novel biomarkers, N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity troponin T had the strongest correlation with ventricular dilation and dysfunction. NT-ProBNP >100 pg/ml has a sensitivity of 91% for the detection of significant ventricular dilation (end-diastolic volume >120 ml/body surface area^1.3) and 82% for detection of ejection fraction <50%. The urinary neutrophil gelatinase-associated lipocalin-2 to creatinine ratio correlated with ejection fraction and estimated glomerular filteration rate. In conclusion, abnormalities in biomarkers of heart failure are common in ambulatory, largely asymptomatic patients with Fontan circulation. NT-ProBNP may serve as a sensitive marker for the identification of patients with significant ventricular dilation or dysfunction. Further work is needed to understand how these easily measured circulating biomarkers may be integrated into clinical care.

Advances in Biomarkers for Detecting Early Cancer Treatment-Related Cardiac Dysfunction

With the gradual prolongation of the overall survival of cancer patients, the cardiovascular toxicity associated with oncology drug therapy and radiotherapy has attracted increasing attention. At present, the main methods to identify early cancer treatment-related cardiac dysfunction (CTRCD) include imaging examination and blood biomarkers. In this review, we will summarize the research progress of subclinical CTRCD-related blood biomarkers in detail. At present, common tumor therapies that cause CTRCD include: (1) Chemotherapy—The CTRCD induced by chemotherapy drugs represented by anthracycline showed a dose-dependent characteristic and most of the myocardial damage is irreversible. (2) Targeted therapy—Cardiovascular injury caused by molecular-targeted therapy drugs such as trastuzumab can be partially or completely alleviated via timely intervention. (3) Immunotherapy—Patients developed severe left ventricular dysfunction who received immune checkpoint inhibitors have been reported. (4) Radiotherapy—CTRCD induced by radiotherapy has been shown to be significantly associated with cardiac radiation dose and radiation volume. Numerous reports have shown that elevated troponin and B-type natriuretic peptide after cancer treatment are significantly associated with heart failure and asymptomatic left ventricular dysfunction. In recent years, a few emerging subclinical CTRCD potential biomarkers have attracted attention. C-reactive protein and ST2 have been shown to be associated with CTRCD after chemotherapy and radiation. Galectin-3, myeloperoxidas, placental growth factor, growth differentiation factor 15 and microRNAs have potential value in predicting CTRCD. In this review, we will summarize CTRCD caused by various tumor therapies from the perspective of cardio-oncology, and focus on the latest research progress of subclinical CTRCD biomarkers.

A Meta-Analysis of Growth Differentiation Factor-15 and Prognosis in Chronic Heart Failure

Background: Previous studies had reported increased circulating concentrations of growth differentiation factor-15 (GDF-15) in chronic heart failure (CHF), suggesting the potential prognostic significance of GDF-15 in this setting. To verify the relationship between the circulating GDF-15 levels and prognosis of CHF patients, we conducted an updated evidence-based meta-analysis.

Methods: A comprehensive literature retrieval of PubMed, EMBASE, and Cochrane library was performed to collect the qualified studies that analyzed the prognostic value of GDF-15 in CHF from the inception of these online databases to September 25, 2021. The hazard ratio (HR) calculated for logGDF-15 of all-cause death and the related 95% confidence interval (CI) in multivariate analysis were used to measure the effect size. Additionally, subgroup analyses stratified by characteristics of the study participants were conducted for incremental evidence of GDF-15 in CHF with different clinical status.

Results: A total of ten eligible studies involving 6,244 CHF patients were finally taken into the quantitative analysis. Results in the random-effects model indicated that there was an increased risk of 6% in all-cause mortality with a per 1LnU increase in baseline GDF-15 concentration (HR: 1.06, 95% CI: 1.03–1.10, P < 0.001). In stratified analyses, the association of GDF-15 with risk of all-cause mortality was found among chronic ischemic HF patients (HR:1.75, 95%CI: 1.24–2.48, P = 0.002), while the association was not found among chronic nonischemic HF patients (HR:1.01, 95%CI: 1.00–1.02, P = 0.219).

Conclusion: The elevated GDF-15 is associated with an increased risk of all-cause mortality in CHF, especially, among CHF patients with ischemic etiology. The circulating GDF-15 might be a prognostic indicator in CHF patients.

Registration Number:https://www.crd.york.ac.uk/PROSPERO; CRD42020210796.

Correlation between Serum LP-PLA2 and sST2 Levels and the Condition of Patients with Acute Heart Failure and Their Prognostic Value

Acute heart failure (AHF) occurs mostly in the elderly, which is a syndrome that occurs in the later stages of the development of cardiovascular disease. Due to the sharp decline in the patient's heart function, the patient has a high mortality rate and a poor prognosis, which seriously threaten the life safety of the elderly. Therefore, early diagnosis of AHF and timely treatment are extremely important. Lipoprotein-associated phospholipase A2 (LP-PLA2) is a newly discovered cardiovascular-specific inflammatory marker, which is closely related to the formation and progression of atherosclerotic plaque and the occurrence and development of coronary heart disease. Soluble growth stimulation expression gene 2 (sST2) protein is a protein produced under the induction of mechanical stress in cardiomyocytes. It can act as a decoy receptor to mediate the interleukin-33 (IL-33)/ST2 signaling pathway to bind to IL-33, thereby reducing the myocardial protective effect and leading to myocardial remodeling. The purpose of this study was to explore the serum LP-PLA2 and sST2 levels in AHF patients and to analyze their correlation with the disease and their prognostic value. The results showed that the levels of serum LP-PLA2 and sST2 were increased in AHF patients, and the levels of serum LP-PLA2 and sST2 in patients with adverse prognostic events were higher than those in patients without adverse prognostic events. The levels of serum LP-PLA2 and sST2 are closely related to the degree of patients' illness, among which the combined prediction of AHF patients with LP-PLA2 and sST2 has the highest value, which is worthy of promotion.

The Clinical Value of GDF15 and Its Prospective Mechanism in Sepsis

Growth differentiation factor 15 (GDF15) is involved in the occurrence and development of many diseases, and there are few studies on its relationship with sepsis. This article aims to explore the clinical value of GDF15 in sepsis and to preliminarily explore its prospective regulatory effect on macrophage inflammation and its functions. We recruited 320 subjects (132 cases in sepsis group, 93 cases in nonsepsis group, and 95 cases in control group), then detected the serum GDF15 levels and laboratory indicators, and further investigated the correlation between GDF15 and laboratory indicators, and also analyzed the clinical value of GDF15 in sepsis diagnosis, severity assessment, and prognosis. In vitro, we used LPS to stimulate THP-1 and RAW264.7 cells to establish the inflammatory model, and detected the expression of GDF15 in the culture medium and cells under the inflammatory state. After that, we added GDF15 recombinant protein (rGDF15) pretreatment to explore its prospective regulatory effect on macrophage inflammation and its functions. The results showed that the serum GDF15 levels were significantly increased in the sepsis group, which was correlated with laboratory indexes of organ damage, coagulation indexes, inflammatory factors, and SOFA score. GDF15 also has a high AUC in the diagnosis of sepsis, which can be further improved by combining with other indicators. The dynamic monitoring of GDF15 levels can play an important role in the judgment and prognosis of sepsis. In the inflammatory state, the expression of intracellular and extracellular GDF15 increased. GDF15 can reduce the levels of cytokines, inhibit M1 polarization induced by LPS, and promote M2 polarization. Moreover, GDF15 also enhances the phagocytosis and bactericidal function of macrophages. Finally, we observed a decreased level of the phosphorylation of JAK1/STAT3 signaling pathway and the nuclear translocation of NF-κB p65 with the pretreatment of rGDF15. In summary, our study found that GDF15 has good clinical application value in sepsis and plays a protective role in the development of sepsis by regulating the functions of macrophages and inhibiting the activation of JAK1/STAT3 pathway and nuclear translocation of NF-κB p65.

Prognostic Value of GDF-15 in Predicting Prolonged Intensive Care Stay following Cardiac Surgery: A Pilot Study

INTRODUCTION

Predicting intensive care unit length of stay and outcome following cardiac surgery is currently based on clinical parameters. Novel biomarkers could be employed to improve the prediction models.

MATERIALS AND METHODS

We performed a qualitative cytokine screening array to identify highly expressed biomarkers in preoperative blood samples of cardiac surgery patients. After identification of one highly expressed biomarker, growth differentiation factor 15 (GDF-15), a quantitative ELISA was undertaken. Preoperative levels of GDF-15 were compared in regard to duration of intensive care stay, cardiopulmonary bypass time, and indicators of organ dysfunction.

RESULTS

Preoperatively, GDF-15 was highly expressed in addition to several less highly expressed other biomarkers. After qualitative analysis, we could show that preoperatively raised levels of GDF-15 were positively associated with prolonged ICU stay exceeding 48 h (median 713 versus 1041 pg/ml, p = 0.003). It was also associated with prolonged mechanical ventilation and rates of severe sepsis but not with dialysis rates or cardiopulmonary bypass time. In univariate regression, raised GDF-15 levels were predictive of a prolonged ICU stay (OR 1.01, 95% confidence interval 1-1.02, and p = 0.029). On ROC curves, GDF-15 was found to predict prolonged ICU stay (AUC = 0.86, 95% confidence interval 0.71-0.99, and p = 0.003).

CONCLUSION

GDF-15 showed potential as predictor of prolonged intensive care stay following cardiac surgery, which might be valuable for risk stratification models.

Growth differentiation factor 15 associations with clinical features of chronic heart failure with midrange ejection fraction and preserved ejection fraction depending on the history of myocardial infarction

Aim    To analyze associations between levels of the inflammatory marker, growth differentiation factor 15 (GDF-15), and echocardiographic indexes in CHF patients with mid-range and preserved left ventricular ejection fraction (LV EF) depending on the history of myocardial infarction (MI).Material and methods    This study included 34 CHF patients with preserved and mid-range LV EF after MI (group 1, n=19) and without a history of MI (group 2, n=15). Serum concentration of GDF-15 was measured with enzyme immunoassay (BioVendor, Czech Republic). Statistical analysis was performed with STATISTICA 10.0.Results    Patients of the study groups were age-matched [62 (58;67) and 64 (60;70) years, p=0.2] but differed in the gender; group 1 consisted of men only (100 %) whereas in group 2, the proportion of men was 53.3 % (p=0.001). Median concentration of GDF-15 was 2385 (2274; 2632.5) and 1997 (1534;2691) pg/ml in groups 1 and 2, respectively (p=0.09). Patients without MI showed a moderate negative correlation between LV EF and GDF-15 concentration (r= - 0.51, p=0.050) and a pronounced correlation between GDF-15 and LV stroke volume (r= -0.722, p=0.002). For patients after MI, a correlation between the level of GDF-15 and the degree of systolic dysfunction was not found (р&gt;0.05).Conclusion    Blood concentration of the inflammatory marker, GDF-15, correlates with LV EF and stroke volume in CHF patients with preserved or mid-range LV EF and without a history of MI while no such correlations were observed for patients with a history of MI.

Dynamics of growth differentiation factor 15 in acute heart failure

Aims

Risk stratification in acute heart failure (HF) patients can help to decide therapies and time for discharge. The potential of growth differentiation factor 15 (GDF‐15) in HF has been previously shown. We aimed to study the importance of GDF‐15‐level variations in acute HF patients.

Methods and results

We retrospectively evaluated a cohort of patients hospitalized due to acute HF. GDF‐15 was measured both at admission and on the discharge day. Patients were followed‐up during a 3 year period. The endpoint under analysis was all‐cause mortality. GDF‐15 variation is equal to [(admission GDF‐15 − discharge GDF‐15)∕admission GDF‐15] × 100. Variation was categorized in levels of increase or decrease of GDF‐15. Patients were cross‐classified according to admission and discharge GDF‐15 cut‐off points. A Cox regression analysis was used to assess the prognostic impact of GDF‐15 variation and the impact of both admission and discharge GDF‐15 according to the cross‐classification. We studied a group of 249 patients with high co‐morbidity burden. Eighty‐one patients died at 1 year and 147 within 3 years. There was a modest decrease in GDF‐15 during hospitalization from a median value of 4087 to 3671 ng/mL (P = 0.02). No association existed between GDF‐15 variation and mortality. In multivariate analysis, patients with admission GDF‐15 ≥ 3500 ng/mL and discharge GDF‐15 ≥ 3000 ng/mL had a significantly higher 1 year death risk when compared with the remaining—hazard ratio = 2.59 (95% confidence interval: 1.41–4.76)—and a 3 year 1.76 (95% confidence interval: 1.08–2.87) higher death risk compared with those with both values below the cut‐off.

Conclusions

Growth differentiation factor 15 decreased during an acute HF hospitalization, but its variation had no prognostic implications. The knowledge of both admission and discharge GDF‐15 added meaningful information to patients' risk stratification.

Promising Novel Biomarkers in Cardiovascular Diseases

Cardiovascular diseases remain the most common causes of death globally, according to the World Health Organization. In recent years, a great number of biomarkers have been investigated, whereas only some have gained value in the diagnosis, prognosis, and risk stratification of different cardiovascular illnesses. As numerous studies have investigated the diagnostic yield of novel biomarkers in various disease entities every year, this review aims to provide an overview of the current status of four promising representatives. In particular, this manuscript refers to soluble suppression of tumorigenicity 2 (sST2), heart-type fatty acid binding protein (H-FABP), growth differentiation factor (GDF-15) and soluble urokinase-type plasminogen activator receptor (suPAR). These markers are of special interest as they are thought to provide an accurate estimate of cardiovascular risk in certain patient populations, especially those with pre-existing diseases, such as obesity or diabetes mellitus. We sought to give an overview of their function, individual diagnostic and predictive value and determination in the laboratory. A review of the literature regarding the aforementioned cardiovascular biomarkers yielded manifold results with respect to their individual diagnostic and prognostic value. Yet, the clinical relevance of these findings remains unclear, warranting further studies to identify their optimal use in clinical routine.

The clinical significance of changes in cTnT, CRP and NT-proBNP levels in patients with heart failure

OBJECTIVE

This study was designed to explore the clinical significance of changes in troponin T (cTnT), C-reactive protein (CRP) and amino-terminal pro-brain natriuretic peptide (NT-proBNP) levels in patients with heart failure (HF).

METHODS

A total of 193 patients with HF admitted to our hospital from October 2013 to June 2019 were enrolled as the study subjects (group A). Another 191 healthy controls were included as group B. Both groups were compared in terms of cTnT, CRP, NT-proBNP levels and left ventricular ejection fraction (LVEF), and the correlations between LVEF and cTnT, CRP, NT-proBNP were analyzed. The differences in cTnT, CRP, NT-proBNP were compared among patients with different cardiac function, different causes of HF, and between patients with and without cardiac events.

RESULTS

cTnT, CRP, and NT-proBNP levels in group A were higher than those in group B (P<0.05). LVEF in group A was lower than that in group B (P<0.05). Negative correlations were found between CRP, cTnT, NT-proBNP and LVEF (P<0.05). As cardiac function improved, cTnT, CRP, NT-proBNP levels also increased, with significant differences between groups (P<0.05). cTnT, CRP, and NT-proBNP levels exhibited no significant difference between the ischemic and non-ischemic HF groups (P>0.05). Patients with cardiac events showed higher levels of cTnT, CRP, and NT-proBNP than those without cardiac events (P<0.05).

CONCLUSION

cTnT, CRP and NT-proBNP levels were elevated in patients with HF, which were negatively correlated with LVEF, and their levels increased with the improvement of cardiac function, independent of the cause of HF. The combination of these three indices is of great significance in the diagnosis and prognosis of HF.

Soluble urokinase-type plasminogen activator receptor strongly predicts global mortality in acute heart failure patients: insight from the STADE-HF registry

Background

Whether soluble urokinase-type plasminogen activator receptor (suPAR) could be a valuable prognostic indicator remains uncertain.

Materials & methods

Patients from STADE-HF (Soluble Suppression of Tumorigenesis-2 as a Help for Management of Diagnosis, Evaluation and Management of Heart Failure) were included for analysis.

Results

95 patients were included. The suPAR level of expression was significantly higher in the group of patients who died at one month (7.90 ± 4.35 ng/ml vs 11.94 ± 6.86 ng/ml; p < 0.05) or 1 year (7.28 ± 4.27 ng/ml vs 11.81 ± 4.88 ng/ml; p < 0.01), but there was no significant difference according to the readmission.

Conclusion

High suPAR levels during hospitalization for acute heart failure were highly predictive for the risk of mortality, but not the risk of readmission.

Long term pronostic value of suPAR in chronic heart failure: reclassification of patients with low MAGGIC score

OBJECTIVES

Inflammation is a hallmark of heart failure (HF) and among inflammatory biomarkers, the most studied remains the C-reactive protein (CRP). In recent years several biomarkers have emerged, such as sST2 and soluble urokinase-type plasminogen activator receptor (suPAR). This study set out to examine the relative importance of long-time prognostic strength of suPAR and the potential additive information on patient risk with chronic HF in comparison with pronostic value of CRP and sST2.

METHODS

Demographics, clinical and biological variables were assessed in a total of 182 patients with chronic HF over median follow-up period of 80 months. Inflammatory biomarkers (i.e., CRP, sST2, and suPAR) were performed.

RESULTS

In univariate Cox regression analysis age, NYHA class, MAGGIC score and the five biomarkers (N-terminal pro brain natriuretic peptide [NT-proBNP], high-sensitive cardiac troponin T [hs-cTnT], CRP, sST2, and suPAR) were associated with both all-cause and cardiovascular mortality. In the multivariate model, only NT-proBNP, suPAR, and MAGGIC score remained independent predictors of all-cause mortality as well as of cardiovascular mortality. Risk classification analysis was significantly improved with the addition of suPAR particularly for all-cause short- and long-term mortality. Using a classification tree approach, the same three variables could be considered as significant classifier variables to predict all-cause or cardiovascular mortality and an algorithm were reported. We demonstrated the favorable outcome associated with patients with a low MAGGIC score and a low suPAR level by comparison to patients with low MAGGIC score but high suPAR values.

CONCLUSIONS

The main findings of our study are (1) that among the three inflammatory biomarkers, only suPAR levels were independently associated with 96-month mortality for patients with chronic HF and (2) that an algorithm based on clinical score, a cardiomyocyte stress biomarker and an inflammatory biomarker could help to a more reliable long term risk stratification in heart failure.

Multimarker approach including CRP, sST2 and GDF-15 for prognostic stratification in stable heart failure

Aims

Inflammation and cardiac remodelling are common and synergistic pathways in heart failure (HF). Emerging biomarkers such as soluble suppression of tumorigenicity 2 (sST2) and growth differentiation factor‐15 (GDF‐15), which are linked to inflammation and fibrosis process, have been proposed as prognosis factors. However, their potential additive values remain poorly investigated.

Methods and results

Here, we aimed at evaluating inflammatory and remodelling biomarkers to predict both short‐term and long‐term mortality in a population with chronic HF in comparison with other classical clinical or biological markers (i.e. N terminal pro brain natriuretic peptide, hs‐cTnT, C‐reactive protein) alone or using meta‐analysis global group in chronic HF risk score in a cohort of 182 patients followed during 80 months (interquartile range: 12.3–90.0). Proportional hazard assumption does not hold for sST2 and C‐reactive protein, and follow‐up was split into short term (less than 1 year), midterm (between 1 and 5 years), and long term (after 5 years). In univariate analysis, C‐reactive protein and sST2 were predictive of short‐term mortality but not of middle term and long term whereas GDF‐15 was predictive of short and mid‐term but not of long‐term mortality. In a multivariate model after adjustment for meta‐analysis global group in chronic HF score including the three markers, only sST2 was predictive of short‐term mortality (P = 0.0225), and only GDF‐15 was predictive of middle term mortality (P = 0.0375). None of the markers was predictive of long‐term mortality.

Conclusions

Our results demonstrate that both sST2 and GDF‐15 significantly improve the prognosis evaluation of HF patients and suggest that the value of GDF‐15 is more sustained overtime and could predict middle term events.