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Background/Objectives: Heart failure (HF) remains a major therapeutic and diagnostic challenge nowadays. Albeit, acute decompensated HF is associated with several clinical signs such as dyspnea or edema, it remains a challenge to use easy accessible and suitable tools, such as biomarkers, to distinguish between patients at risk for an acute decompensation of their heart failure and compensated, stable HF patients. Existing biomarkers, such as natriuretic peptides or troponin, are not specific and can be elevated due to several other disease conditions, such as myocardial infarction, atrial fibrillation, or valve diseases. Therefore, the aim of this study was to analyze the predictive potential of four novel cardiovascular biomarkers—the soluble urokinase-type plasminogen activator receptor (suPAR), heart-type fatty acid binding protein (H-FABP), vascular cell adhesion molecule 1 (VCAM-1), and growth/differentiation factor 15 (GDF-15) for the detection of cardiac decompensation in patients with HF. Methods: In this study, 146 patients were prospectively enrolled and the serum biomarker concentrations were analyzed using Enzyme Linked Immunosorbent Assay (ELISA). We correlated the biomarker concentrations with clinical and biochemical parameters of all patients and the predictive value for detection of cardiac decompensation was assessed. Results: A significant increase in the levels of suPAR (1.6-fold-change, p < 0.0001), H-FABP (2.2-fold-change, p = 0.0458), VCAM-1 (1.6-fold-change, p < 0.0001), and GDF-15 (1.7-fold-change, p = 0.0009) was detected in all patients with acute decompensated HF in comparison to patients with compensated HF. Univariate logistic regression analysis revealed a significant association of biomarker plasma concentration with the risk for a cardiac decompensation (suPAR: p < 0.0001; VCAM-1: p < 0.0001, H-FABP: p = 0.0458; GDF-15: p = 0.0009). Conclusions: In conclusion, the investigated novel cardiovascular biomarkers suPAR, GDF-15, VCAM-1, and H-FABP could be a valuable tool to facilitate therapeutic decisions in patients with heart failure and suspicion of a cardiac decompensation. Parameters such as renal function should be taken into account. Further studies on novel biomarkers are required to find reliable, sensitive, and specific tools that will enable the early detection of patients with acute decompensation. [ABSTRACT FROM AUTHOR]

Severe aortic valve stenosis (AS) and pulmonary hypertension (PH) are life-threatening cardiovascular conditions, necessitating early detection and intervention. Recent studies have explored the role of Insulin-like Growth Factor-Binding Protein 2 (IGF-BP2) in cardiovascular pathophysiology. Understanding its involvement may offer novel insights into disease mechanisms and therapeutic targets for these conditions. A total of 102 patients (46 female, 56 male) with severe AS undergoing a transcatheter aortic valve replacement (TAVR) in a single-center study were classified using echocardiography tests to determine systolic pulmonary artery pressure (sPAP) and the presence (sPAP ≥ 40 mmHg) or absence (sPAP < 40 mmHg) of PH. Additionally, serial laboratory determinations of IGF-BP2 before, and at 24 h, 96 h, and 3 months after intervention were conducted in all study participants. Considering the entire cohort, patients with PH had significant and continuously higher serum IGF-BP2 concentrations over time than patients without PH. After subdivision by sex, it could be demonstrated that the above-mentioned results were only verifiable in males, but not in females. In the male patients, baseline IGF-BP2 levels before the TAVR was an isolated risk factor for premature death after intervention and at 1, 3, and 5 years post-intervention. The same was valid for the combination of male and echocardiographically established PH patients. The predictive role of IGF-BP2 in severe AS and concurrent PH remains unknown. A more profound comprehension of IGF-BP2 mechanisms, particularly in males, could facilitate the earlier consideration of the TAVR as a more effective and successful treatment strategy. [ABSTRACT FROM AUTHOR]

(1) Background: Due to similar clinical presentation and a lack of specific biomarkers, initial differentiation between Takotsubo syndrome (TTS) and non-ST-segment elevation myocardial infarction (NSTEMI) remains challenging in daily practice. Heat Shock Protein 70 (HSP70) is a novel biomarker that is recognized for its potential in the diagnosis and differentiation of cardiovascular conditions. (2) Methods: Data from a total of 156 patients were analyzed (32.1% NSTEMI, 32.7% TTS, and 35.3% controls). Serum concentrations of HSP70 were determined using ELISA and compared between patients and controls. ROC curve analysis, logistic regression analysis and propensity-score-weighted logistic regression were conducted. (3) Results: Concentrations of HSP70 were highest in patients with TTS (median 1727 pg/mL vs. ACS: median 1545 pg/mL vs. controls: median 583 pg/mL, p < 0.0001). HSP70 was predictive for TTS in binary logistic regression analysis (B(SE) = 0.634(0.22), p = 0.004), which even remained significant after correction for possible confounders in propensity-score-weighted analysis. ROC curve analysis also revealed a significant association of HSP70 with TTS (AUC: 0.633, p = 0.008). (4) Conclusions: Based on our findings, HSP70 constitutes a promising biomarker for discrimination between TTS and NSTEMI, especially in combination with established cardiovascular biomarkers like pBNP or high-sensitivity cardiac troponin. [ABSTRACT FROM AUTHOR]

Background: (A) Very severe aortic valve stenosis (VSAS; Vmax ≥ 5 ​m/s, MPG ≥60 ​mmHg) is a critical condition with unfavorable clinical outcomes. Guidelines regard VSAS as one criterion for considering valve replacement in asymptomatic patients. (B) Guidelines recommend the use of aortic valve calcium (AVC) scoring as a parameter to differentiate between moderate and severe aortic valve stenosis (SAS). The aim of our study is to propose AVC thresholds for the discrimination between SAS and VSAS., Methods: Data of patients from a single center who underwent transcatheter aortic valve implantation (n ​= ​523) were retrospectively analyzed. Patients with concordant AS (n ​= ​430) were divided into SAS (n ​= ​344) and VSAS (n ​= ​86) groups and compared in terms of absolute AVC and indexed AVC (body surface area; aortic valve annulus area)., Results: Mean AVC was significantly higher in men (m) than in women (w), and significantly higher in VSAS than in SAS (m: SAS 3572.0 AU; VSAS 5465.0 AU; w: SAS 2252.5 AU; VSAS 3064.5 AU; all p ​< ​0,001). ROC curve analyses showed AVC to be a predictor of VSAS in both sexes (m: AUC 0.794; p ​< ​0.001; w: AUC 0.725; p ​< ​0.001), with optimal cut-off values of 3706.5 AU (m) and 2374.5 (w). Some indexed AVC had a slightly, but not relevantly, better predictive value., Conclusion: The proposed AVC thresholds - approximately 3700 AU (m) and 2400 AU (w) - showed significant predictive power to differentiate SAS from VSAS in the study cohort., Competing Interests: Declaration of competing interest None. (MH, ML, MM, WW, EB disclose minor COI not in connection with the present work – see COI disclosure)., (Copyright © 2024 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.)