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Background Cardiac Amyloidosis (CA) pertains to the cardiac involvement of a group of diseases, in which misfolded proteins deposit in tissues and cause progressive organ damage. The vast majority of CA cases are caused by light chain amyloidosis (AL) and transthyretin amyloidosis (ATTR). The increased awareness of these diseases has led to an increment of newly diagnosed cases each year. Methods We performed multiple searches on MEDLINE, EMBASE and the Cochrane Database of Systematic Reviews. Several search terms were used, such as “cardiac amyloidosis”, “diagnostic modalities cardiac amyloidosis” and “staging cardiac amyloidosis”. Emphasis was given on original articles describing novel diagnostic and staging approaches to the disease. Results Imaging techniques are indispensable to diagnosing CA. Novel ultrasonographic techniques boast high sensitivity and specificity for the disease. Nuclear imaging has repeatedly proved its worth in the diagnostic procedure, with efforts now focusing on standardization and quantification of amyloid load. Because the latter would be invaluable for any staging system, those spearheading research in magnetic resonance imaging of the disease are also trying to come up with accurate tools to quantify amyloid burden. Staging tools are currently being developed and validated for ATTR CA, in the spirit of the acclaimed Mayo Staging System for AL. Conclusion Cardiac involvement confers significant morbidity and mortality in all types of amyloidosis. Great effort is made to reduce the time to diagnosis, as treatment in the initial stages of the disease is tied to better prognosis. The results of these efforts are highly sensitive and specific diagnostic modalities that are also reasonably cost effective.

Iron deficiency (ID) is a prevalent comorbidity in heart failure (HF), affecting 37–75% of patients and contributing significantly to symptom burden and adverse outcomes independent of anemia status. Current diagnostic criteria for ID in HF include absolute deficiency (ferritin <100 μg/L) and functional deficiency (ferritin 100–299 μg/L with transferrin saturation <20%). Major clinical trials including AFFIRM-AHF, IRONMAN, HEART-FID, and FAIR-HF2 have demonstrated that intravenous iron therapy, particularly ferric carboxymaltose, reduces HF hospitalizations and improves quality of life and exercise capacity. The 2023 European Society of Cardiology guidelines recommend intravenous ferric carboxymaltose for symptomatic iron-deficient patients with heart failure with reduced ejection fraction. Despite these advances, significant knowledge gaps remain regarding optimal diagnostic approaches, the relationship between ID and ferroptosis in cardiac tissue, and the efficacy of newer iron formulations. This review synthesizes current understanding of ID in HF and highlights emerging therapeutic strategies.

Agatston score, the degree of lumen narrowing categorized by CAD-RADS, high-risk atherosclerotic plaque features and pericoronary adipose tissue attenuation (PCAT) are parameters, which can be assessed non-invasively by coronary computed tomography angiography (CCTA) and aid risk stratification in patients with chronic coronary syndromes (CCS). However, few studies have so far compared the prognostic value of all those parameters together. To develop and test the prognostic value of a composite CCTA score, derived from Agatston score, CAD-RADS, high-risk plaques and PCAT in patients undergoing CCTA due to CCS. Consecutive patients with clinical indication for CCTA and available clinical follow-up of ≥ 6 months after the CCTA examination were included. (i) Agatston score, (ii) CAD-RADS, (iii) the number of plaques with at least one high-risk feature and (iv) PCAT in the proximal 4 cm of the right coronary artery (RCA) were measured, and a composite CCTA score was generated considering all four parameters. The primary endpoint encompassed all-cause mortality, myocardial infarction, and coronary revascularization (> 60 days after the CCTA scan) during follow-up. In total, 759 patients (median age 68.0 (IQR 59.0–76.0) years, 352 (46.4%) female) were included. During a median follow-up of 591.5 (IQR 505.5-686.8) days, 39 (5.1%) patients reached the primary endpoint. Cox-proportional regression demonstrated that the Agatston score, the number of high-risk plaques and CAD-RADS predicted the primary endpoint, independent of age and conventional cardiovascular risk factors. The number of high-risk plaques per patient provided the most robust prediction of the primary endpoint (HR = 2.74, 95%CI = 1.56–4.80, p  < 0.001), whereas the composite CCTA score outperformed all other parameters (HR = 1.54, 95%CI = 1.19–1.98, p  < 0.001). The Agatston score, CAD-RADS and high-risk plaque features may provide complementary prognostic information in patients with CCS. A composite CCTA score, derived by these imaging markers may identify high-risk individuals, who may benefit from more intensified treatment and clinical follow-up in future studies.

Heart failure (HF) is a potentially debilitating condition, with a prognosis comparable to many forms of cancer. It is often complicated by anemia and iron deficiency (ID), which have been shown to even further harm patients’ functional status and hospitalization risk. Iron is a cellular micronutrient that is essential for oxygen uptake and transportation, as well as mitochondrial energy production. Iron is crucially involved in electrochemical stability, maintenance of structure, and contractility of cardiomyocytes. There is mounting evidence that ID indeed hampers the homeostasis of these properties. Animal model and stem cell research has verified these findings on the cellular level, while clinical trials that treat ID in HF patients have shown promising results in improving real patient outcomes, as electromechanically compromised cardiomyocytes translate to HF exacerbations and arrhythmias in patients. In this article, we review our current knowledge on the role of iron in cardiac muscle cells, the contribution of ID to anemia and HF pathophysiology and the capacity of IV iron therapy to ameliorate the patients’ arrhythmogenic profile, quality of life, and prognosis.

Background/Objectives: Iron deficiency (ID) is a common and prognostically relevant comorbidity in heart failure with reduced ejection fraction (HFrEF). It contributes to reduced functional status, exercise capacity, and survival. Intravenous ferric carboxymaltose (FCM) improves symptoms, but its effect on cardiac structure and function remains incompletely understood. The aim of this study was to assess the impact of intravenous FCM on echocardiographic indices of left ventricular (LV), left atrial (LA), and right ventricular (RV) morphology and function in HFrEF patients with ID and determine whether these changes correlate with improvements in exercise capacity. Methods: This sub-analysis of the RESAFE-HF registry (NCT04974021) included 86 HFrEF patients with ID (median age 71.8 years, 83% male). Transthoracic echocardiography was performed at baseline and 12 months post-FCM. Parameters assessed included LV ejection fraction (LVEF), LV global longitudinal strain (GLS), LV diastolic function grade, LAVi, LA strain, TAPSE, and RV free wall strain (FWS). Peak VO2 was measured to assess exercise capacity. Results: LVEF improved from 29.3 ± 7.8% to 32.5 ± 10.6% (p < 0.001), LV GLS from −7.89% to −8.62%, and the LV diastolic dysfunction grade improved (p < 0.001). LAVi, peak LA strain, TAPSE, and RV FWS also showed significant improvement. Peak VO2 increased from 11.3 ± 3.2 to 12.1 ± 4.1 mL/min/kg (p < 0.001). Improvements in LVEF, RV FWS, and LV GLS were independent predictors of VO2 increase (p < 0.001, p < 0.001, and p = 0.01, respectively), explaining 42% of the variance. Conclusions: FCM therapy improves biventricular and atrial function, with echocardiographic gains correlating with an enhanced exercise capacity in HFrEF patients with ID.

Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death globally. Increasing amounts of highly diverse ASCVD data are becoming available and artificial intelligence (AI) techniques now bear the promise of utilizing them to improve diagnosis, advance understanding of disease pathogenesis, enable outcome prediction, assist with clinical decision making and promote precision medicine approaches. Machine learning (ML) algorithms in particular, are already employed in cardiovascular imaging applications to facilitate automated disease detection and experts believe that ML will transform the field in the coming years. Current review first describes the key concepts of AI applications from a clinical standpoint. We then provide a focused overview of current AI applications in four main ASCVD domains: coronary artery disease (CAD), peripheral arterial disease (PAD), abdominal aortic aneurysm (AAA), and carotid artery disease. For each domain, applications are presented with refer to the primary imaging modality used [e.g., computed tomography (CT) or invasive angiography] and the key aim of the applied AI approaches, which include disease detection, phenotyping, outcome prediction, and assistance with clinical decision making. We conclude with the strengths and limitations of AI applications and provide future perspectives.

Background: Cardiac magnetic resonance (CMR) combined with late gadolinium enhancement (LGE) has revealed a non-negligible increased incidence of myocardial fibrosis (MF) in athletes compared to healthy sedentary controls. Objective: The aim of this systematic research and meta-analysis is to investigate and present our perspective regarding CMR indices in athletes compared to sedentary controls, including T1 values, myocardial extracellular volume (ECV) and positive LGE indicative of non-specific fibrosis, also to discuss the differences between young and veteran athletes. Methods: The protocol included searching, up to October 2021, of MEDLINE, EMBASE, SPORTDiscus, Web of Science and Cochrane databases for original studies assessing fibrosis via CMR in athletes. A mean age of 40 years differentiated studies' athletic populations to veteran and young. Results: The research yielded 14 studies including in total 1,312 individuals. There was a statistically significant difference in LGE fibrosis between the 118/759 athletes and 16/553 controls ( Z = 5.2, P < 0.001, I 2 = 0%, P I = 0.45). Notably, LGE fibrosis differed significantly between 546 (14.6%) veteran and 140 (25.7%) young athletes ( P = 0.002). At 1.5T, T1 values differed between 117 athletes and 48 controls ( P < 0.0001). A statistically significant difference was also shown at 3T (110 athletes vs. 41 controls, P = 0.0004), as well as when pooling both 1.5T and 3T populations ( P < 0.00001). Mean ECV showed no statistically significant difference between these groups. Conclusions: Based on currently available data, we reported that overall LGE based non-specific fibrosis and T1 values differ between athletes and sedentary controls, in contrast to ECV values. Age of athletes seems to have impact on the incidence of MF. Future prospective studies should focus on the investigation of the underlying pathophysiological mechanisms.

End-stage heart failure is a condition in which the up-regulation of the systemic and local renin-angiotensin-aldosterone system (RAAS) leads to end-organ damage and is largely irreversible despite optimal medication. Left ventricular assist devices (LVADs) can downregulate RAAS activation by unloading the left ventricle and increasing the cardiac output translating into a better end-organ perfusion improving survival. However, the absence of pulsatility brought about by continuous-flow devices may variably trigger RAAS activation depending on left ventricular (LV) intrinsic contractility, the design and speed of the pump device. Moreover, the concept of myocardial recovery is being tested in clinical trials and in this setting LVAD support combined with intense RAAS inhibition can promote recovery and ensure maintenance of LV function after explantation. Blood pressure control on LVAD recipients is key to avoiding complications as gastrointestinal bleeding, pump thrombosis and stroke. Furthermore, emerging data highlight the role of RAAS antagonists as prevention of arteriovenous malformations that lead to gastrointestinal bleeds. Future studies should focus on the role of angiotensin receptor inhibitors in preventing myocardial fibrosis in patients with LVADs and examine in greater details the target blood pressure for these patients.

The identification of patients prone to atrial fibrillation (AF) relapse after catheter ablation is essential for better patient selection and risk stratification. The current prospective cohort study aims to validate a novel P-wave index based on beat-to-beat (B2B) P-wave morphological and wavelet analysis designed to detect patients with low burden AF as a predictor of AF recurrence within a year after successful catheter ablation. From a total of 138 consecutive patients scheduled for AF ablation, 12-lead ECG and 10 min vectorcardiogram (VCG) recordings were obtained. Univariate analysis revealed that patients with higher B2B P-wave index had a two-fold risk for AF recurrence (HR: 2.35, 95% CI: 1.24–4.44, p: 0.010), along with prolonged P-wave, interatrial block, early AF recurrence, female gender, heart failure history, previous stroke, and CHA2DS2-VASc score. Multivariate analysis of assessable predictors before ablation revealed that B2B P-wave index, along with heart failure history and a history of previous stroke or transient ischemic attack, are independent predicting factors of atrial fibrillation recurrence. Further studies are needed to assess the predictive value of the B2B index with greater accuracy and evaluate a possible relationship with atrial substrate analysis.

Early identification of patients at risk for paroxysmal atrial fibrillation (PAF) is essential to attain optimal treatment and a favorable prognosis. We compared the performance of a beat-to-beat (B2B) P-wave analysis with that of standard P-wave indices (SPWIs) in identifying patients prone to PAF. To this end, 12-lead ECG and 10 min vectorcardiogram (VCG) recordings were obtained from 33 consecutive, antiarrhythmic therapy naïve patients, with a short history of low burden PAF, and from 56 age- and sex-matched individuals with no AF history. For both groups, SPWIs were calculated, while the VCG recordings were analyzed on a B2B basis, and the P-waves were classified to a primary or secondary morphology. Wavelet transform was used to further analyze P-wave signals of main morphology. Univariate analysis revealed that none of the SPWIs performed acceptably in PAF detection, while five B2B features reached an AUC above 0.7. Moreover, multivariate logistic regression analysis was used to develop two classifiers—one based on B2B analysis derived features and one using only SPWIs. The B2B classifier was found to be superior to SPWIs classifier; B2B AUC: 0.849 (0.754–0.917) vs. SPWIs AUC: 0.721 (0.613–0.813), p value: 0.041. Therefore, in the studied population, the proposed B2B P-wave analysis outperforms SPWIs in detecting patients with PAF while in sinus rhythm. This can be used in further clinical trials regarding the prognosis of such patients.