Moris Sangineto
Assistant Professor
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About
Dr. Moris Sangineto is an Assistant Professor at the University of Foggia, Italy. His research areas encompass inflammatory biomarkers in cancer diagnosis, metabolic reprogramming in inflammatory conditions, and geriatric patient care. He has published extensively on topics such as the impact of lifestyle changes on NAFLD evolution and therapeutic targets in Alzheimer's disease. His work contributes significantly to the understanding of metabolic dysfunctions and cardiovascular health.
Articles (10)
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Background: this study aimed to assess the complex relationship between EAT thickness, as measured with echocardiography, and the severity of coronary artery disease (CAD). We investigated whether individuals with higher EAT thickness underwent coronary revascularization. Subsequently, we conducted a three-year follow-up to explore any potential modifications in EAT depots post-angioplasty. Methods: we conducted a prospective and retrospective cross-sectional observational study involving 150 patients consecutively referred for acute coronary syndrome, including ST-elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), and unstable angina. Upon admission (T0), all patients underwent coronary angiography to assess the number of pathologic coronary vessels. Percutaneous transluminal coronary angioplasty (PTCA) was performed based on angiogram results if indicated. The sample was categorized into two groups: non-revascularized (no-PTCA) and revascularized (PTCA). Transthoracic echocardiograms to measure epicardial fat thickness were conducted at admission (T0) and after a 3-year follow-up (T1). Results and conclusions: findings revealed a positive correlation between EAT thickness and the severity of coronary artery disease (CAD), with patients undergoing PTCA showing decreased EAT thickness after three years. Echocardiography demonstrated reliability in assessing EAT, offering potential for risk stratification. The study introduces a cut-off value of 0.65 cm as a diagnostic tool for cardiovascular risk. Incorporating EAT measurements into clinical practice may lead to more precise risk stratification and tailored treatment strategies, ultimately reducing the burden of cardiovascular disease.
Year:
2023
Year:
2023
Year:
2023
Collaborators (4)
Aurelio Lo Buglio
University of Foggia
Vincenzo Zaccone
Marche Polytechnic University
TOMMASO CASSANO
Professore Associato
Università degli Studi di Foggia
Gaetano Serviddio
University of Foggia
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