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Salvatore Emanuele Ravenna

Researcher at Catholic University of the Sacred Heart

Publications -  12
Citations -  117

Salvatore Emanuele Ravenna is an academic researcher from Catholic University of the Sacred Heart. The author has contributed to research in topics: Coronary artery disease & Medicine. The author has an hindex of 4, co-authored 10 publications receiving 56 citations.

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Electrocardiographic findings at presentation and clinical outcome in patients with SARS-CoV-2 infection

TL;DR: The data show that standard ECG can be helpful for an initial risk stratification of patients admitted for SARS-CoV-2 infectious disease.
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Coronary microvascular dysfunction in patients with acute coronary syndrome and no obstructive coronary artery disease

TL;DR: Patients with NSTE-ACS and NO-CAD exhibit a significant coronary dysfunction, which seems to involve both an increased constrictor reactivity, likely mainly involving coronary microcirculation, and a reduced microvascular dilator function, both persisting at 12-month follow-up.
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Endothelial dysfunction and cardiovascular outcome in asymptomatic patients with type 2 diabetes: A pilot study.

TL;DR: A pilot study was conducted to assess whether endothelial dysfunction might help identify, among asymptomatic T2DM patients, those at increased risk of cardiovascular events.
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Electrocardiographic Findings and Clinical Outcome in Patients with COVID-19 or Other Acute Infectious Respiratory Diseases

TL;DR: It is found that the ECG on admission was helpful to identify patients with increased risk of death in both groups of patients and there were no significant differences in abnormal ECG findings between patients hospitalized because of AIRD and no-COVID-19 patients.
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Diagnostic role of echocardiography in patients admitted to the emergency room with suspect no-ST-segment elevation acute myocardial infarction.

TL;DR: The data showed that, in patients with acute chest pain and increased serum troponin T concentration, routine standard echocardiography does not significantly improve the diagnostic accuracy for the presence of obstructive CAD.