Soluble ST2 (sST2) has recently emerged as a promising biomarker in the field of acute cardiovascular diseases. Several clinical studies have demonstrated a significant link between sST2 values and patients’ outcome. Further, it has been found that higher levels of sST2 are associated with an increased risk of adverse left ventricular remodeling. Therefore, sST2 could represent a useful tool that could help the risk stratification and diagnostic and therapeutic work-up of patients admitted to an emergency department. With this review, based on recent literature, we have built sST2-assisted flowcharts applicable to three very common clinical scenarios of the emergency department: Acute heart failure, type 1, and type 2 acute myocardial infarction. In particular, we combined sST2 levels together with clinical and instrumental evaluation in order to offer a practical tool for emergency medicine physicians.

Purpose of Review: Myocarditis is a polymorphic disease, both in its presentation and clinical course. Recent data suggests that the genetic background, interacting with environmental factors, could be diriment both in the susceptibility and evolution of myocarditis in different clinical presentations. The aim of this paper is to expose the current available evidences and the evolving concepts on this topic, in order to provide insight for improving the clinical management of those patients. In this regard, the main goal is an optimal characterization of each patient’s risk, with the purpose of individualizing the treatment and the follow-up. Recent Findings: The latest research highlights the possible prognostic role of some pathogenic mutations that could create a vulnerable myocardium prone to myocardial inflammation and also to the development of a long-lasting cardiomyopathy. Summary: The identification of these genetic defects and of myocarditis patients requiring genetic testing is emerging as a challenge for the future. In fact, identifying a possible genetic background responsible for a particularly high-risk profile could be of extreme importance in improving management of myocarditis. This and many other aspects in the genetics of myocarditis remain uncovered, and further studies are expected based to refine our daily clinical practice.

Background and Aims: The prediction of the first major arrhythmic event (MAE) is still an unmet need in the recently defined scenario of non-dilated left ventricular cardiomyopathy (NDLVC). Methods: A cohort of 337 patients with NDLVC and no history of MAE was retrospectively identified at two large centres. Patient-tailored diagnostic workup included cardiac magnetic resonance (CMR), endomyocardial biopsy, and genetic testing. The primary endpoint was the occurrence of the first MAE, including sustained ventricular tachycardia (VT), ventricular fibrillation, or appropriate implantable cardioverter-defibrillator therapy, by 60-month follow-up. A pool of 216 NDLVC patients from 11 European centres served as a validation cohort. Results: In the study cohort (mean age 37 ± 15 years, 62% male), the mean left ventricular ejection fraction (LVEF) was 52 ± 8%, and 79% of patients had late gadolinium enhancement (LGE) at baseline CMR. By 60-month follow-up, 51 patients (15%) experienced a MAE. The primary endpoint was predicted by male sex [hazard ratio (HR) 2.4, 95% confidence interval (CI) 1.3–4.4, P = .007], baseline non-sustained VT (HR 3.1, 95% CI 1.7–5.6, P < .001), LVEF < 45% (HR 5.5, 95% CI 2.7–11.0, P < .001), septal (HR 2.0, 95% CI 1.0–4.0, P = .046) and ring-like pattern of LGE (HR 1.3, 95% CI .6–2.6, P = .54), pathogenic/likely pathogenic variants in guideline-defined high-risk genes (HR 4.6, 95% CI 2.3–9.1, P < .001), and biopsy/CMR-proven myocardial inflammation (HR 15.7, 95% CI 6.1–40.3, P < .001). The results were confirmed in the validation cohort (Uno’s C-index 0.81, 95% CI .75–.88). A novel risk score was subsequently derived. Conclusions: In NDLVC, male sex, non-sustained VT, LVEF < 45%, septal and ring-like LGE, high-risk genotypes, and myocardial inflammation predicted the first episode of MAE by 60 months.

Background: Acute myocardial infarction (AMI) survivors are at risk of major adverse cardiac events and their risk stratification is a prerequisite to tailored therapeutic approaches. Biomarkers could be of great utility in this setting. Methods: We sought to evaluate the utility of the combined assessment of Galectin 3 (Gal-3) and Galectin 3 binding protein (Gal-3bp) for post-AMI risk stratification in a large, consecutive population of AMI patients. The primary outcomes were: Recurrent angina/AMI and all-cause mortality at 12 months after the index event. Results: In total, 469 patients were included. The median Gal-3bp was 9.1 μg/mL (IQR 5.8–13.5 μg/mL), while median Gal-3 was 9.8 ng/mL (IQR 7.8–12.8 ng/mL). During the 12 month follow-up, 34 patients died and 41 had angina pectoris/reinfarction. Gal-3 was associated with all-cause mortality, while Gal-3bp correlated with the risk of angina/myocardial infarction even when corrected for other significant covariates. The final multivariable model for mortality prediction included patients’ age, left ventricular ejection fraction (LVEF), Gal-3, and renal function. The ROC curve estimated for this model has an area under the curve (AUC) of 0.84 (95%CI 0.78–0.9), which was similar to the area under the ROC curve obtained using the GRACE score 1-year mortality. Conclusions: The integrated assessment of Gal-3 and Gal-3bp could be helpful in risk stratification after AMI.

Genotype positive–phenotype negative (GEN+PHEN−) individuals harbour a pathogenic or likely pathogenic variant without exhibiting a phenotypic manifestation of the disease. In the last few years, the widespread use of genetic testing in probands and relatives has increasingly led to the identification of these individuals, with emerging dilemmas regarding their clinical management. A genetic variant may exhibit a variable expressivity even in the same family and spontaneous conversion to overt phenotype is largely unpredictable. Little is known about the possible influence of environmental factors, such intense or moderate exercise with open questions regarding their possible role in promoting or worsening the phenotypic expression. Current guidelines for sports participation in this setting acknowledge the weak burden of evidence and the many uncertainties. The recommendations to engage in intensive exercise and competitive sports are usually contingent on annual clinical surveillance, except for pathogenic variants in specific genes, such as lamin A/C or plakophilin-2. In certain conditions, such as arrhythmogenic cardiomyopathy, guidelines do not differentiate between GEN+PHEN− individuals and patients with overt disease and recommend avoiding participation in high-intensity recreational exercise and competitive sports. It should be emphasized that international guidelines, traditionally restrictive in terms of sports participation and focused on disqualification, embraced recently a more liberal attitude promoting a shared decision-making approach in the absence of clinical markers of increased risk. In this review, we will discuss the current state of knowledge on GEN+PHEN− individuals and the dilemmas surrounding the impact of exercise and prognosis, focusing on cardiomyopathies and channelopathies, which are the predominant causes of sudden cardiac death in the young and in young athletes.

BACKGROUND: Assessing myocardial strain by cardiac magnetic resonance feature tracking (FT) has been found to be useful in patients with overt hypertrophic cardiomyopathy (HCM). Little is known, however, of its role in sarcomere gene mutation carriers without overt left ventricular hypertrophy (subclinical HCM). METHODS: Thirty-eight subclinical HCM subjects and 42 healthy volunteers were enrolled in this multicenter case-control study. They underwent a comprehensive cardiac magnetic resonance study. Two-dimensional global radial, circumferential, and longitudinal strain of the left ventricle (LV) were evaluated by FT analysis. RESULTS: The subclinical HCM sample was 41 (22–51) years old and 32% were men. FT analysis revealed a reduction in global radial strain (29±7.2 versus 47.9±7.4; P <0.0001), global circumferential strain (−17.3±2.6 -versus -20.8±7.4; P <0.0001) and global longitudinal strain (−16.9±2.4 versus −20.5±2.6; P <0.0001) in subclinical HCM compared with control subjects. The significant differences persisted when considering the 23 individuals free of all the structural and functional ECG and cardiac magnetic resonance abnormalities previously described. Receiver operating characteristic curve analyses showed that the differential diagnostic performances of FT in discriminating subclinical HCM from normal subjects were good to excellent (global radial strain with optimal cut-off value of 40.43%: AUC, 0.946 [95% CI, 0.93–1.00]; sensitivity 90.48%, specificity 94.44%; global circumferential strain with cut-off, −18.54%: AUC, 0.849 [95% CI, 0.76–0.94]; sensitivity, 88.10%; specificity, 72.22%; global longitudinal strain with cut-off, −19.06%: AUC, 0.843 [95% CI, 0.76–0.93]; sensitivity, 78.57%; specificity, 78.95%). Similar values were found for discriminating those subclinical HCM subjects without other phenotypic abnormalities from healthy volunteers (global radial strain with optimal cut-off 40.43%: AUC, 0.966 [95% CI, 0.92–1.00]; sensitivity, 90.48%; specificity, 95.45%; global circumferential strain with cut-off, −18.44%: AUC, 0.866 [95% CI, 0.76–0.96]; sensitivity, 92.86%; specificity, 77.27%; global longitudinal strain with cut-off, −17.32%: AUC, 0.838 [95% CI, 0.73–0.94]; sensitivity, 90.48%; specificity, 65.22%). CONCLUSIONS: Cardiac magnetic resonance FT-derived parameters are consistently lower in subclinical patients with HCM, and they could emerge as a good tool for discovering the disease during a preclinical phase.