Introduction: Depression is a common and severe comorbidity among individuals with heart failure (HF). Up to a third of all HF patients are depressed, and an even higher proportion have symptoms of depression. Aim: In this review, we evaluate the relationship between HF and depression, explain the pathophysiology and epidemiology of both diseases and their relationship, and highlight novel diagnostic and therapeutic options for HF patients with depression. Materials and Methods: This narrative review involved keyword searches of PubMed and Web of Science. Review search terms included [“Depression” OR “Depres*” OR “major depr*”] AND [“Heart Failure” OR “HF” OR “HFrEF” OR “HFmrEF” OR “HFpEF” OR “HFimpEF”] in all fields. Studies included in the review met the following criteria: (A) published in a peer-reviewed journal; (B) described the impact of depression on HF and vice versa; and (C) were opinion papers, guidelines, case studies, descriptive studies, randomized control trials, prospective studies, retrospective studies, narrative reviews, and systematic reviews. Results: Depression is an emergent HF risk factor and strongly relates with worse clinical outcomes. HF and depression share multiple pathways, including platelet dis-reactivity, neuroendocrine malfunction, inappropriate inflammation, tachi-arrhythmias, and frailty in the social and community setting. Existing HF guidelines urge evaluation of depression in all HF patients, and numerous screening tools are available. Depression is ultimately diagnosed based on DSM-5 criteria. There are both non-pharmaceutical and pharmaceutical treatments for depression. Regarding depressed symptoms, non-pharmaceutical treatments, such as cognitive-behavioral therapy and physical exercise, have shown therapeutic results, under medical supervision and with an effort level adapted to the patient’s physical resources, together with optimal HF treatment. In randomized clinical studies, selective serotonin reuptake inhibitors, the backbone of antidepressant treatment, did not demonstrate advantage over the placebo in patients with HF. New antidepressant medications are currently being studied and could provide a chance to enhance management, treatment, and control of depression in patients with HF. Conclusions: Despite the substantial link between depression and HF, their combination is underdiagnosed and undertreated. Considering the hopeful yet unclear findings of antidepressant trials, further research is required to identify people who may benefit from antidepressant medication. The goal of future research should be a complete approach to the care of these patients, who are anticipated to become a significant medical burden in the future.

Cardiovascular magnetic resonance (CMR) imaging has become a cornerstone in the diagnosis, risk stratification, and management of cardiovascular disease (CVD), particularly heart failure (HF) and cardiomyopathies. Renowned as the gold standard for non-invasive quantification of ventricular volumes and ejection fraction, CMR delivers superior spatial and temporal resolution with excellent tissue–blood contrast. Recent advancements, including T1, T2, and T2* mapping, extracellular volume quantification, and late gadolinium enhancement, enable precise tissue characterization, allowing early detection of myocardial changes such as fibrosis, edema, and infiltration. These features provide critical insights into the pathophysiological mechanisms underlying HF phenotypes and diverse cardiomyopathies, enhancing diagnostic accuracy and guiding therapeutic decisions. This review explores the expanding role of CMR in CV disease, highlighting its diagnostic value in HF and in several cardiomyopathies, as well as its contribution to improving patient outcomes through detailed tissue characterization and prognosis.

A substantial proportion of cardiovascular (CV) events occurs in individuals without previously diagnosed CV disease, underscoring the need for improved primary prevention strategies. Traditional risk scores provide probabilistic estimates but fail to directly identify the presence and heterogeneity of subclinical atherosclerosis. This review summarizes current evidence on advanced multimodality imaging approaches for identifying high-risk individuals without prior CV events. Evidence from cohort studies, randomized trials, and meta-analyses was examined to evaluate the role of coronary artery calcium (CAC) scoring, coronary computed tomography angiography (CCTA), perivascular fat attenuation index (FAI), and vascular ultrasound in risk stratification. CAC scoring remains the most validated and widely recommended tool, offering robust prognostic value and significant risk reclassification, particularly in intermediate-risk individuals. CCTA provides additional insights into plaque burden and high-risk phenotypes, while FAI enables noninvasive assessment of coronary inflammation, improving risk prediction beyond anatomical measures. Vascular ultrasound offers a radiation-free, accessible method for detecting systemic plaque burden and refining risk estimation. Overall, multimodality imaging enhances the identification of subclinical disease and supports more individualized, disease-based risk assessment. Future research should clarify cost effectiveness, optimize patient selection, and determine whether imaging-guided strategies improve long-term clinical outcomes.