Heart failure is a growing global epidemic that involves in its pathophysiology a proinflammatory state. Since the first description of elevated cytokine levels in this setting, there has been increasing interest in understanding the role of these molecules in left-ventricular remodeling and function. Over the years, intense research on the 'cytokine theory' of heart failure has allowed evaluation of the role of inflammatory biomarkers not only as pathogenetic mediators, but also as potential tools in the diagnosis and risk stratification of heart failure patients. Whereas current evidence does not support the use of inflammatory biomarkers for the diagnosis of heart failure, the assessment of their levels and the connection between their changes and changes in clinical status and prognosis has been well validated. At present, the utility of anti-inflammatory therapies in heart failure is still debated, since trials of anti-inflammatory agents in this setting have pointed out controversial results. On the contrary, established treatments of heart failure, including β-blockers, renin-angiotensin system antagonists, and aldosterone-receptor blockers seem able to act by modulating cytokine expression, suggesting a new role for these molecules in guiding heart failure therapy. Therefore, the binomial topic of heart failure and inflammation still has a number of fields not completely explored: our aim is to update current knowledge and future perspectives.
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http://dx.doi.org/10.2459/JCM.0b013e328349afb6 | DOI Listing |
J Echocardiogr
January 2025
Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, 1035 Dalgubeol-Daero, Dalseo-Gu, Daegu, 42601, Republic of Korea.
Background: With the growing number of high-risk pregnant women, echocardiography frequently reveals pericardial effusion (PE). However, the clinical implications of PE are unknown.
Method: We analyzed a cohort of 406 high-risk pregnant women who underwent echocardiography in the third trimester between November 2019 and December 2022.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmanns Vej 7, Copenhagen, 2100, Denmark.
Background: Glucagon-like peptide-1 receptor agonist (GLP-1RA) treatment reduces cardiovascular events in type 2 diabetes. Yet, the impact of GLP-1RA treatment before ST-segment elevation myocardial infarction (STEMI) on long-term prognosis in patients with type 2 diabetes remains unclear. In patients with STEMI and type 2 diabetes, we aimed to investigate the association between long-term prognosis and GLP-1RA treatment before STEMI.
View Article and Find Full Text PDFBMC Cardiovasc Disord
January 2025
Department of Radiology, Qujing No.1 Hospital, Kirin District Garden Road no. 1, Qujing, 655099, China.
Background: Left ventricular (LV) myocardial contraction patterns can be assessed using LV mechanical dispersion (LVMD), a parameter closely associated with electrical activation patterns. Despite its potential clinical significance, limited research has been conducted on LVMD following myocardial infarction (MI). This study aims to evaluate the predictive value of cardiac magnetic resonance (CMR)-derived LVMD for adverse clinical outcomes and to explore its correlation with myocardial scar heterogeneity.
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