Explore the vast range of titles available.

Among cardiomyopathies, the hypertrophic phenotype is the most common, and hypertrophic cardiomyopathy (HCM) phenocopies represent a heterogeneous group of conditions. They are defined by a left ventricular wall thickness ≥15 mm in the absence of other causes such as loading conditions, ischemia, or valvular disease. Although they mimic similar clinical and morphological features, their etiologies are distinct and include genetic, metabolic, and infiltrative mechanisms. Therefore, accurate classification and differential diagnosis are crucial for effective management and treatment. Sarcomeric HCM is the most frequent form, accounting for up to 60% of cases. However, numerous non-sarcomeric phenocopies exist, including amyloidosis, Fabry disease, glycogen storage disorders, RASopathies, and mitochondrial diseases. Clinical and imaging findings are essential to distinguish these entities from sarcomeric HCM. Electrocardiography, echocardiography, advanced modalities such as cardiac magnetic resonance (CMR), and specific laboratory tests all play a central role in guiding diagnosis. Genetic testing provides key insights into mutations and inheritance patterns, further supporting definitive diagnosis. Correct identification of an HCM phenocopy carries important therapeutic implications, as disease-specific treatments can significantly improve prognosis. For example, targeted therapies exist for amyloidosis, Fabry disease, and certain metabolic or mitochondrial disorders, underlining the clinical relevance of an accurate diagnosis. This review aims to provide an overview of HCM phenocopies and assist clinicians in diagnostic reasoning. The first part addresses classification according to pathophysiological mechanisms, clinical features, and genetic background. The second part focuses on the stepwise approach to differential diagnosis, integrating clinical assessment, laboratory evaluation, ECG, echocardiography, and CMR findings.

Background: Sacubitril/valsartan (S/V) is a cornerstone treatment for heart failure (HF). Beneficial effects on hospitalization rates, mortality, and left ventricular remodeling have been observed in patients with heart failure and reduced ejection fraction (HFrEF). Despite the positive results, the influence of S/V on renal function during long-term follow-up has received little attention. Aims: We investigated the long-term effects of S/V therapy on renal function in a large cohort of patients with HFrEF. Additionally, we examined the effects of the drug in patients with chronic kidney disease (CKD) compared to those with preserved renal function and identified primary risk characteristics Methods: We studied 776 outpatients with HFrEF and left ventricular ejection fraction (LVEF) <40% from an observational registry of the Italian Society of Cardiology, all receiving optimized standard-of-care therapy with S/V. The patients were included in a multicentric open-label registry from 11 Italian academic hospitals. Kidney function was evaluated at baseline, after 6 months of S/V, and at 4 years. Patients were followed-up through periodic clinical visits. Results: During a 48-month follow-up period, 591 patients remained stable and 185 patients (24%) experienced adverse events (85 deaths and 126 hospitalizations). S/V therapy marginally affects renal function during the follow-up period (estimated glomerular filtration rate (eGFR) at baseline 72.01 vs eGFR at follow-up 70.38 ml/min/m2, p = 0.01; and creatinine was 1.06 at baseline vs 1.10 at follow-up, p < 0.04). Among patients who maintained preserved renal function, 35% were in Dose 3 and 10% dropped out of S/V therapy (p < 0.006). Univariate analysis showed that Drop-out of S/V (HR 2.73 [2.01, 3.71], p < 0.001), history of previous HF hospitalization (HR 1.75 [1.30, 2.36], p < 0.001), advanced NYHA class (HR 2.14 [1.60, 2.86], p < 0.001), NT-proBNP values >1000 pg/ml (HR 1.95[1.38, 2.77], p < 0.001), furosemide dose >50 mg (HR 2.04 [1.48, 2.82], p < 0.001), and creatinine values >1.5 mg/dl occurred during follow-up (HR 1.74 [1.24, 2.43], p < 0.001) were linked to increased risk. At multivariable analysis, increased doses of loop diuretics, advanced NYHA class, creatinine >1.5 mg/dl, and atrial fibrillation were independent predictors of adverse events. Conclusion: Long-term S/V therapy is associated with improved outcomes and renal protection in patients with HFrEF. This effect is more pronounced in patients who tolerate escalating doses. The positive effects of the drug are maintained in both CKD and preserved renal function. Future research may study the safety and underlying causes of current protection. Plain language summary Effects of sacubitril/valsartan on renal function and outcome in patients with heart failure and reduced ejection fraction: an Italian cohort study Despite the beneficial results, the influence of S/V on renal function during long-term follow-up has received little attention. We investigated the long-term effects of S/V therapy on renal function in a large cohort of patients affected by HFrEF.

PurposeOnly a few studies are available on dose-related effects of sacubitril/valsartan (angiotensin receptor neprilysin inhibition (ARNI)) in real-life patients with heart failure and reduced ejection fraction (HFrEF). We sought to investigate clinical and functional effects in real-life HFrEF patients receiving ARNI at a different cumulative dose.MethodsThis was an observational study in consecutive outpatients admitted for HFrEF from October 2017 to June 2019. The PARADIGM criteria were needed for enrolment. ARNI was uptitrated according to blood pressure, drug tolerability, renal function and kaliemia. At least 10-month follow-up was required in each patient. Clinical assessment, Kansas City Cardiomyopathy Questionnaire (KCCQ) score, 6-min walk test and strain echocardiography were performed in each patient on a regular basis during the observational period. At the end of the study, patients were divided into two groups based on the median yearly dose of the ARNI medication.ResultsA total of 90 patients, 64 ± 11 years, 82% males, were enrolled. The cut-off dose was established in 75 mg BID, and the study population was divided into group A (≤ 75 mg), 52 patients (58%), and group B (> 75 mg), 38 patients (42%). The follow-up duration was 12 months (range 11–13). NYHA class, KCCQ score and 6MWT performance ameliorated in both groups, with a quicker time to benefit in group B. The proportion of patients walking > 350 m increased from 21 to 58% in group A (p < 0.001), and from 29 to 82% in group B (p < 0.001). A positive effect was also disclosed in the left ventricular remodelling, strain deformation and diastolic function.ConclusionOne-year ARNI treatment was effective in our real-life HFrEF patient population, leading to clinical and functional improvement in both study groups, slightly greater and with a shorter time to benefit in group B.

Heart failure (HF) represents a significant global health challenge, characterized by high morbidity and mortality rates, and imposes considerable burdens on healthcare systems and patient quality of life. Traditional management strategies, primarily relying on clinical assessments and standard biomarkers like natriuretic peptides, face limitations due to the heterogeneity of HF. This review aims to delve into the evolving landscape of non-natriuretic biomarkers and the transformative potential of omics technologies, underscoring their roles in advancing HF treatment towards precision medicine. By offering novel insights into the biological underpinnings of HF, including inflammation, myocardial stress, fibrosis, and metabolic disturbances, these advancements facilitate more accurate patient phenotyping and individualized treatment strategies. The integration of non-natriuretic biomarkers and omics technologies heralds a pivotal shift in HF management, enabling a move towards tailored therapeutic interventions. This approach promises to enhance clinical outcomes by improving diagnostic accuracy, risk stratification, and monitoring therapeutic responses. However, challenges such as the variability in biomarker levels, cost-effectiveness, and the standardization of biomarker testing across different healthcare settings pose hurdles to their widespread adoption. Despite these challenges, the promise of precision medicine in HF, driven by these innovative biomarkers and technologies, offers a new horizon for improving patient care and outcomes. This review advocates for the further integration of these advancements into clinical practice, highlighting the need for ongoing research to fully realize their potential in transforming the landscape of heart failure management.

Background: Heart failure with preserved ejection fraction (HFpEF) is a multifactorial condition with a variety of pathophysiological causes and morphological manifestations. The inclusion criteria and patient classification have become overly simplistic due to the customary differentiation regarding the ejection fraction (EF) cutoff. EF is considered a measure of systolic function; nevertheless, it only represents a portion of the true contractile state and has been shown to have certain limits due to methodological and hemodynamic irregularities. Methods: As a result, broader randomized clinical trials have yet to incorporate the most recent criteria for HFpEF diagnosis, leading to a lack of data consistency and confusion in interpreting the results. The primary variations between the bigger clinical trials published in this context concerning patient selection and echocardiographic characteristics were analyzed. For all these reasons, we aim to clarify the main features and clinical impact of HFpEF in a study combining imaging, bio-humoral analysis, and clinical history to identify the specific subgroups that respond better to tailored treatment. Results: Disparate clinical characteristics and a lack of uniform diagnostic standards may cause suboptimal therapeutic feedback. To optimize treatment, we suggest shifting the paradigm from the straightforward EF measurement to a more comprehensive model that considers additional information, such as structural traits, related disorders, and biological and environmental data. Therefore, by evaluating certain echocardiographic and clinical factors, a stepwise diagnostic procedure may be useful in identifying patients at high risk, subjects with early HFpEF, and those with evident HFpEF. Conclusions: The present assessment underscores the significance of the precision medicine approach in guaranteeing optimal patient outcomes by providing the best care according to each distinct profile.

Prevention of dementia represents a public health priority. Hypertension is a risk factor for mild cognitive impairment (MCI), a precursor to progressive dementia. A great effort is underway to develop accurate and sensitive tools to detect the MCI condition in hypertensive patients. To investigate the potential association of subclinical left ventricular dysfunction expressed by the global longitudinal strain (GLS) with the MCI, defined by the Italian version of the quick mild cognitive impairment (Qmci-I). This multi-centric study included 180 consecutive hypertensive patients without medical diseases and/or drugs with known significant effects on cognition but with a not negligible comorbidity burden to avoid a possible “hyper-normality bias”. The study cohort was classified into two main groups concerning the median value of the GLS. A weighted logistic regression model was employed after an inverse probability of treatment weighting (IPTW) analysis to characterize a potential association between GLS and MCI. Almost 41,1% of the whole study population was female. The mean age was 65,6 ± 7,2. 39 patients (21,7%) showed MCI. After IPTW, the GLS was significantly associated with the study endpoint (OR, 1,22; 95% CI: 1,07–1,39, P  = 0.003). Our results highlight that the GLS is a potential predictor of MCI and, therefore, a valuable tool for establishing preventive strategies to arrest the progression toward a cognitive decline in hypertensive patients.

The recent Sars-Cov-2 pandemic (COVID-19) has led to growing research on the relationship between thromboembolism and Sars-Cov-2 infection. Nowadays, endothelial dysfunction, platelet activation, coagulation, and inflammatory host immune response are the subject of extensive researches in patients with COVID-19 disease. However, studies on the link between microorganisms or infections and thrombotic or thromboembolic events met fluctuating interest in the past. We, therefore, aimed to briefly summarize previous evidence on this topic, highlighting common points between previous data and what experienced today with SARS-COV2 infections.

A diagnosis of Brugada syndrome (BrS) is based on the presence of a type 1 electrocardiogram (ECG) pattern, either spontaneously or after a Sodium Channel Blocker Provocation Test (SCBPT). Several ECG criteria have been evaluated as predictors of a positive SCBPT, such as the β-angle, the α-angle, the duration of the base of the triangle at 5 mm from the r’-wave (DBT- 5 mm), the duration of the base of the triangle at the isoelectric line (DBT- iso), and the triangle base/height ratio. The aim of our study was to test all previously proposed ECG criteria in a large cohort study and to evaluate an r’-wave algorithm for predicting a BrS diagnosis after an SCBPT. We enrolled all patients who consecutively underwent SCBPT using flecainide from January 2010 to December 2015 in the test cohort and from January 2016 to December 2021 in the validation cohort. We included the ECG criteria with the best diagnostic accuracy in relation to the test cohort in the development of the r’-wave algorithm (β-angle, α-angle, DBT- 5 mm, and DBT- iso.) Of the total of 395 patients enrolled, 72.4% were male and the average age was 44.7 ± 13.5 years. Following the SCBPTs, 24.1% of patients (n = 95) were positive and 75.9% (n = 300) were negative. ROC analysis of the validation cohort showed that the AUC of the r’-wave algorithm (AUC: 0.92; CI 0.85–0.99) was significantly better than the AUC of the β-angle (AUC: 0.82; 95% CI 0.71–0.92), the α-angle (AUC: 0.77; 95% CI 0.66–0.90), the DBT- 5 mm (AUC: 0.75; 95% CI 0.64–0.87), the DBT- iso (AUC: 0.79; 95% CI 0.67–0.91), and the triangle base/height (AUC: 0.61; 95% CI 0.48–0.75) (p < 0.001), making it the best predictor of a BrS diagnosis after an SCBPT. The r’-wave algorithm with a cut-off value of ≥2 showed a sensitivity of 90% and a specificity of 83%. In our study, the r’-wave algorithm was proved to have the best diagnostic accuracy, compared with single electrocardiographic criteria, in predicting the diagnosis of BrS after provocative testing with flecainide.

Background Sodium-Glucose Cotransporter-2 inhibitors (SGLT2i) represent a deep revolution of the therapeutic approach to heart failure (HF), preventing its insurgence but also improving the management of the disease and slowing its natural progression. To date, few studies have explored the effectiveness of SGLT2i and, in particular, Dapagliflozin in a real-world population. Therefore, in this observational prospective study, we evaluated Dapagliflozin's effectiveness in a real-world HF population categorized in the different hemodynamic profiles. Methods From January 2022 to June 2023, we enrolled 240 patients with chronic HF and reduced ejection fraction (HFrEF) on optimal medical therapy, according to 2021 ESC guidelines, that added treatment with Dapagliflozin from the HF Clinics of 6 Italian University Hospitals. Clinical, biochemical, and echocardiographic parameters were collected before and after 6 months of Dapagliflozin introduction. Moreover, the HFrEF population was classified according to hemodynamic profiles (A: SV ≥ 35 ml/m 2 ; E/e′ < 15; B: SV ≥ 35 ml/m 2 ; E/e′ ≥ 15; C: SV < 35 ml/m 2 ; E/e′ < 15; D: SV < 35 ml/m 2 ; E/e′ ≥ 15). Then, we compared the Dapagliflozin population with two retrospective HF cohorts, hereinafter referred to as Guide Line 2012 (GL 2012) group and Guide Line 2016 (GL 2016) group, in accordance with the HF ESC guidelines in force at the time of patients enrolment. Precisely, we evaluated the changes to baseline in clinical, functional, biochemical, and echocardiographic parameters and compared them to the GL 2012 and GL 2016 groups. Results Dapagliflozin population (67.18 ± 11.11 years) showed a significant improvement in the echocardiographic and functional parameters (left ventricular ejection fraction [LVEF], LV end-diastolic volume [LVEDV], LVEDV index, stroke volume index [SVi], left atrium volume index [LAVi], filling pressure [E/e′ ratio], tricuspid annular plane systolic excursion [TAPSE], tricuspid annular S′ velocity [RVs’], fractional area change [FAC], inferior vena cava [IVC diameter], pulmonary artery systolic pressure [sPAP], NYHA class, and quality of life) compared to baseline. In particular, TAPSE and right ventricle diameter (RVD1) ameliorate in congestive profiles (B and D); accordingly, the furosemide dose significantly decreased in these profiles. Comparing the three populations, the analysis of echocardiographic parameters (baseline vs follow-up) highlighted a significant decrease of sPAP in the Dapagliflozin population ( p  < 0.05), while no changes were recorded in the GL 2012 and GL 2016 population. Moreover, at the baseline evaluation, the GL 2012 and 2016 groups needed a higher significant dose of furosemide compared to Dapagliflozin group. Finally, Dapagliflozin patients had significantly fewer rehospitalizations (1.25%) compared with the other two groups (GL 2012 18.89%, p 0.0097; GL 2016 15.32%, p 0.0497). Conclusions We demonstrate that Dapagliflozin is rapidly effective in an HFrEF real-world population; furthermore, the more significant effect is recorded in HFrEF patients with a congestive profile (B and D), supporting the introduction of Dapagliflozin in patients with a congestive profile and a worse prognosis. In conclusion, our data suggest evaluating the patient's hemodynamic state beyond LVEF in HFrEF.

Pulmonary arterial hypertension (PAH) is a rare subtype of group 1 pulmonary hypertension (PH) diseases, characterized by high pulmonary artery pressure leading to right ventricular dysfunction and potential life-threatening consequences. PAH involves complex mechanisms: vasoconstriction, vascular remodeling, endothelial dysfunction, inflammation, oxidative stress, fibrosis, RV remodeling, cellular hypoxia, metabolic imbalance, and thrombosis. These mechanisms are mediated by several pathways, involving molecules like nitric oxide and prostacyclin. PAH diagnosis requires clinical evaluation and right heart catheterization, confirming a value of mPAP ≥ 20 mmHg at rest and often elevated pulmonary vascular resistance (PVR). Even if an early and accurate diagnosis is crucial, PAH still lacks effective biomarkers to assist in its diagnosis and prognosis. Biomarkers could contribute to arousing clinical suspicion and serve for prognosis prediction, risk stratification, and dynamic monitoring in patients with PAH. The aim of the present review is to report the main novelties on new possible biomarkers for the diagnosis, prognosis, and treatment monitoring of PAH.