Chronic kidney disease represents a complex and multifaceted pathology characterized by the presence of structural or functional renal anomalies associated with a persistent reduction in renal function. As the disease progresses, complications arise due to the chronic inflammatory syndrome, hydro-electrolytic disorders, and toxicity secondary to the uremic environment. Cardiovascular complications are the leading cause of death for these patients. Ischemic cardiac pathology can be both a consequence and complication of chronic kidney disease, highlighting the need to identify specific cardiorenal dysfunction biomarkers targeting pathophysiological mechanisms common to both conditions. This identification is crucial for establishing accurate diagnoses, prognoses, and risk stratifications for patients. This work is intended to elucidate the intricate relationship between chronic kidney disease and ischemic heart disease and to investigate the roles of cardiorenal biomarkers, including cardiac troponin, natriuretic peptides, galectin-3, copeptin, fibroblast growth factor 23 and its co-receptor Klotho, soluble suppression of tumorigenicity 2, and plasma growth differentiation factor 15.

Background: Systemic venous congestion is a key driver of organ dysfunction in heart failure (HF), yet accurate non-invasive quantification remains challenging. Recognizing residual congestion is critical, since it predicts HF readmissions and mortality. Traditional assessments (physical exam, jugular venous pressure, inferior vena cava [IVC] size) are imprecise. The Venous Excess Ultrasound Score (VExUS) is a semi-quantitative point-of-care ultrasound (POCUS) protocol that integrates IVC diameter with Doppler flow patterns in the hepatic, portal and intrarenal veins to grade systemic venous overload. Methods: We conducted a narrative review of literature (2018–2025) regarding the usefulness of VExUS in HF, covering congestion pathophysiology, clinical evidence (hemodynamic correlations, organ dysfunction, outcomes), potential applications, integration with lung ultrasound, echocardiography and biomarkers, limitations of its assessment and future directions. Results and Discussions: In HF, elevated right atrial pressure causes venous congestion. VExUS integrates IVC diameter with Doppler waveforms of hepatic, portal, and intrarenal veins to grade congestion. Emerging evidence shows higher VExUS grades correlate with elevated filling pressures, renal dysfunction, and worse outcomes. Its use may guide diuretic therapy, aid discharge planning, and monitor outpatient congestion, especially when combined with lung ultrasound and biomarkers. However, VExUS has limitations: it is technical and operator-dependent. Importantly, large trials validating VExUS-guided management are lacking. Future directions include AI-driven automation of Doppler analysis and integration with multimodal congestion monitoring to provide a comprehensive congestion assessment. Conclusions: VExUS is a promising noninvasive tool for quantifying congestion in HF. Higher grades are associated with organ dysfunction and poor prognosis. Incorporating this technique into HF care may improve congestion-guided therapy, but large-scale validation is required before routine use.

The management of acute heart failure (AHF) is becoming increasingly complex, especially in patients with multiple comorbidities. Endothelin-1 (ET-1), a vasoconstrictive peptide, is an important mediator of neurohormonal activation, endothelial dysfunction, and cardiac remodeling—key processes involved in the pathogenesis of AHF. The aim of our study was to evaluate the diagnostic and prognostic performance of ET-1 in multimorbid AHF patients, compared to established markers such as amino terminal pro B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin I (hs-cTnI). We conducted a single-center prospective study including 76 patients; 54 with AHF and 22 serving as controls. Upon admission, all patients underwent a comprehensive clinical, echocardiographic, and laboratory evaluation, including plasma ET-1 measurement using the enzyme-linked immunosorbent assay (ELISA) method. Receiver operating characteristic (ROC) curve and area under the curve (AUC) analysis were performed to assess the diagnostic and prognostic performance of ET-1 in comparison to NT-proBNP and hs-cTnI. ET-1 levels were considerably higher in AHF patients than in controls (p = 0.02), with an AUC of 0.954, showing comparable diagnostic accuracy with NT-proBNP (AUC = 0.997), alongside strong correlations with signs of systemic congestion, increased hospital stay, and ventricular dysfunction. ET-1 had the strongest predictive accuracy for in-hospital mortality (AUC = 0.781, p = 0.026), outperforming NT-proBNP and hs-cTnI. For 30-day mortality, ET-1 remained a reliable predictor (AUC = 0.784, p = 0.016). However, as the follow-up period extended to one year, its predictive power declined, confirming ET-1’s prognostic efficacy only for short-term outcomes. Moreover, ET-1 levels were not influenced by the presence of comorbidities, demonstrating its potential as an independent biomarker. Our findings support that ET-1 is a valuable biomarker for both diagnosis and short-term prognosis in the assessment of multimorbid AHF patients.

Pulmonary thromboembolism (PE) is a life-threatening condition that often leads to right ventricular (RV) dysfunction, a key determinant of prognosis and clinical management. Biomarkers play a crucial role in the early detection and risk stratification of RV dysfunction in PE, complementing imaging and hemodynamic assessments. Cardiac troponins, B-type natriuretic peptides, and novel biomarkers, such as heart-type fatty acid-binding protein (H-FABP) and growth differentiation factor-15 (GDF-15), provide valuable insights into myocardial injury, overload, and stress. This article explores the clinical possible significance of these biomarkers, their predictive value, and their potential to guide therapeutic strategies in patients with PE. Understanding the role of biomarkers in RV dysfunction assessment may improve patient outcomes focusing on early intervention and personalized treatment approaches.

(1) Background: Given its high cardiac specificity and its capacity to directly assess the cardiac function, cardiac myosin-binding protein (MyBP-C) is a promising biomarker in patients with acute heart failure (AHF). The aim of our study was to investigate the clinical utility of this novel marker for diagnosis and short-term prognosis in subjects with AHF. (2) Methods: We measured plasma levels of MyBP-C at admission in 49 subjects (27 patients admitted with AHF and 22 controls). (3) Results: The plasma concentration of MyBP-C was significantly higher in patients with AHF compared to controls (54.88 vs. 0.01 ng/L, p < 0.001). For 30-day prognosis, MyBP-C showed significantly greater AUC (0.972, p < 0.001) than NT-proBNP (0.849, p = 0.001) and hs-TnI (0.714, p = 0.047). In a multivariate logistic regression analysis, an elevated level of MyBP-C was the best independent predictor of 30-day mortality (OR = 1.08, p = 0.039) or combined death/recurrent 30-days rehospitalization (OR = 1.12, p = 0.014). (4) Conclusions: Our data show that circulating MyBP-C is a sensitive and cardiac-specific biomarker with potential utility for the accurate diagnosis and prognosis of AHF.

Type 2 diabetes mellitus is associated with major cardiovascular complications, including cardiac autonomic neuropathy, which contributes to sympathetic–parasympathetic imbalance and increases susceptibility to arrhythmias and sudden cardiac death. Heart rate variability, assessed through R–R intervals on electrocardiography and 24 h Holter monitoring, represents a sensitive, non-invasive marker of autonomic dysfunction and arrhythmogenic risk. In patients with type 2 diabetes mellitus, chronic hyperglycaemia, oxidative stress, and metabolic inflammation lead to early impairment of the autonomic nervous system, manifested by consistent reductions in SDNN, RMSSD, pNN50, total power, and the high-frequency component, indicating diminished parasympathetic tone and sympathetic predominance. Nonlinear HRV indices demonstrate a loss of complexity and fractal organisation, providing additional prognostic value beyond conventional time- and frequency-domain analyses. Reduced HRV correlates with the severity of cardiac autonomic neuropathy, duration of diabetes, and poor glycaemic control, identifying patients with increased arrhythmogenic vulnerability. HRV analysis enables prediction of arrhythmic risk, facilitating the identification of high-risk individuals and guiding personalised interventions. The integration of HRV assessment into routine clinical practice may improve the early detection of subclinical autonomic neuropathy and optimise cardiovascular risk stratification and management in patients with type 2 diabetes mellitus.