Aortic stenosis (AS) is a valvular heart disease that significantly contributes to cardiovascular morbidity and mortality worldwide. The condition is characterized by calcification and thickening of the aortic valve leaflets, resulting in a narrowed orifice and increased pressure gradient across the valve. AS typically progresses from a subclinical phase known as aortic sclerosis, where valve calcification occurs without a transvalvular gradient, to a more advanced stage marked by a triad of symptoms: heart failure, syncope, and angina. Echocardiography plays a crucial role in the diagnosis and evaluation of AS, serving as the primary non-invasive imaging modality. However, to minimize misdiagnoses, it is crucial to adhere to a standardized protocol for acquiring echocardiographic images. This is because, despite continuous advances in echocardiographic technology, diagnostic errors still occur during the evaluation of AS, particularly in classifying its severity and hemodynamic characteristics. This review focuses on providing guidance for the imager during the echocardiographic assessment of AS. Firstly, the review will report on how the echo machine should be set to improve image quality and reduce noise and artifacts. Thereafter, the review will report specific emphasis on accurate measurements of left ventricular outflow tract diameter, aortic valve morphology and movement, as well as aortic and left ventricular outflow tract velocities. By considering these key factors, clinicians can ensure consistency and accuracy in the evaluation of AS using echocardiography.

Left ventricular outflow obstruction (LVOTO) and diastolic dysfunction are the main pathophysiological characteristics of hypertrophic cardiomyopathy (HCM)LVOTO, may be identified in more than half of HCM patients and represents an important determinant of symptoms and a predictor of worse prognosis. This review aims to clarify the LVOTO mechanism in, diagnosis of, and therapeutic strategies for patients with obstructive HCM.

Cardiac surgery is necessary in almost 50% of patients with endocarditis. Early surgery, i.e., the surgery performed during the first hospitalization, is required in the following cases: heart failure secondary to valve regurgitation; S. aureus, fungal organism, or other highly resistant organism infection; heart block, annular or aortic abscess, or destructive penetrating lesions; evidence of persistent infection as manifested by persistent bacteremia or fevers lasting >5 days after onset of appropriate antimicrobial therapy. A 62-year-old man developed a fever (38 °C) 3 days after a transaortic electrophysiological study; blood cultures were positive for S. aureus, and were sensitive to vancomycin and ceftaroline. Antibiotic therapy was started, controlling the fever and the patient’s infective and inflammatory profiles well; however, 3 days later, acute aortic regurgitation developed. At transesophageal echocardiography (TEE), a rare condition was revealed—vegetation was attached to the aortic wall, impeding correct aortic valve closure. Cardiac operation was carried out and the time for surgery was discussed; based on the patient’s clinically stable condition, and on the infection, which was controlled well by antibiotics therapy, surgery was not performed in emergency circumstance (within 24–48 h)—rather, it was programmed during the hospitalization. A TEE surveillance was initiated, and after 7 days, TEE revealed a new picture, with images of an aortic abscess with small perforation in the right atrium, requiring emergency surgery, carried out 20 h later. In our case, the rapid evolution of the vegetation attached to the aortic wall suggested the following: (1) that the time for the surgery cannot be guided only by clinical procedure but must also be guided by imaging pictures; (2) that strictly TEE surveillance is mandatory in patients with aortic endocarditis not initially referred for emergency surgery.

Background Hypertrophic Cardiomyopathy (HCM) is mainly caused by sarcomeric mutations. In about 40% of cases the causal mutation is unknown. Myocardial mechano-energetic efficiency per unit of left ventricular (LV) mass (MEEi) is an echocardiographic parameter of LV pump performance. Sarcomeric mutations may affect energy efficiency. Purpose We investigated the effects of the presence of sarcomeric mutations on MEEi in patients with HCM. Methods We included 49 genetically screened HCM patients (50±10 years, 27% women) with LV ejection fraction >50%, LV maximal wall thickness >14 mm and no moderate to severe mitral regurgitation. MEEi was calculated as the ratio between stroke volume and heart rate, normalized by LV mass. Echo-LV mass was calculated as LV epicardial minus LV endocardial volumes in 4 and 2 chamber views multiplied by 1.05, a method validated with nuclear magnetic resonance. Results 27 HCM patients carried a sarcomeric mutation (HCM-Sarc; 55%). As shown in the table, patients with and without sarcomeric mutations (HCM-Sarc vs HCM-NoSarc) had similar LV ejection fraction, heart rate, LV mass and LV outflow tract gradient. HCM-Sarc showed early age at diagnosis, higher frequency of HCM family history and significantly reduced MEEi as compared with HCM-NoSarc. Presence of sarcomeric mutation could be predicted by younger age, lower MEEi and by family history of HCM (overall p<0.05). Conclusions In a population of HCM patients, the presence of a sarcomeric mutation is the only determinant of reduced the LV pump performance as estimated by MEEi. MEEi may be used as an imaging biomarker in sarcomeric mutation carriers. Funding Acknowledgement Type of funding sources: None.

Background Only one score for prediction of new-onset atrial fibrillation (AF) in patients with hypertrophic cardiomyopathy (HCM) has been developed in North America (HCM-AF North America score). Purpose To develop a new score (HCM-AF South Italy score) in an Italian derivation cohort and to test the new score with that from North America, in an Italian validation cohort. Methods A cohort of 228 patients with HCM and without history of AF, followed at referral center 1 for HCM, was used for model development. A cohort of 226 patients without history of AF, followed at referral center 2, was used for external validation. During follow-up (IQR 3–13 years, median 8 years), 59 (26%) patients developed new-onset AF. Data in the development cohort generated the HCM-AF South Italy score, a point score to predict AF probability: left atrial dimension >49 mm (+5 points), age at clinical evaluation <55 years (+2 points), the use of angiotensin-converting enzyme (ACE) or inhibitor or angiotensin receptor blocker (ARB) at initial evaluation (+2 points), low left ventricular (LV) ejection fraction (<50%) (+2 points), LV outflow tract obstruction (LVOTO) >25 mmHg (+2 points), NYHA class >1 (+1 point). Results Patients from the validation cohort were older, had lower prevalence of HCM family history, lower systolic and diastolic blood pressure, taken fewer drugs like beta-blockers, ACE or ARB, calcium-channel blockers, and antiarrhythmic drugs and had lower LVOTO than patients from the derivation cohort, (overall p<0.05). During follow-up (IQR 1–10 years, median 5 years), 25 (11%) patients developed AF. ROC curve analysis demonstrated that HCM-AF South Italy score was superior to HCM-AF North America score (Figure). A HCM- AF South Italy score >4 identified patients at risk of AF with a sensitivity of 48%, specificity of 76%, PPV of 20% and NPV of 92%. Conclusion Although derived and tested in little and quite different populations, the performance of the HCM-AF South Italy score was superior to that of the score developed in North America. Funding Acknowledgement Type of funding sources: None.