A5036696902- Cardiac Imaging and Diagnostics
- Cardiovascular Function and Risk Factors
- COVID-19 Clinical Research Studies
- Cardiovascular Disease and Adiposity
- Cardiac Valve Diseases and Treatments
- COVID-19 diagnosis using AI
- Sex and Gender in Healthcare
- Machine Learning in Healthcare
- Infective Endocarditis Diagnosis and Management
- Acute Myocardial Infarction Research
- ECG Monitoring and Analysis
- Atrial Fibrillation Management and Outcomes
- Cardiac Structural Anomalies and Repair
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- Menopause: Health Impacts and Treatments
- Cardiac electrophysiology and arrhythmias
- Streptococcal Infections and Treatments
- GDF15 and Related Biomarkers
- Cardiomyopathy and Myosin Studies
- COVID-19 and Mental Health
- Pulmonary Hypertension Research and Treatments
- Cardiovascular Effects of Exercise
- Pericarditis and Cardiac Tamponade
- Long-Term Effects of COVID-19
- Cardiac Arrhythmias and Treatments
Azienda Unita' Sanitaria Locale di Parma
2024
University of Parma
2018-2023
Ospedale di Parma
2021-2022
Dalle Molle Institute for Artificial Intelligence Research
2021
University of Applied Sciences and Arts of Southern Switzerland
2021
Guglielmo da Saliceto Hospital
2021
Imperial College London
2020
University Hospitals Parma Medical Center
2020
Background The pericoronary fat attenuation index ( pFAI ) has emerged as a marker of coronary inflammation, which is measurable from standard computed tomography angiography CCTA ). It compares well with gold‐standard methods for the assessment inflammation and can predict future cardiovascular events. could prove invaluable to differentiate an inflammatory noninflammatory artery status, helping unravel mechanisms subtending event classified myocardial infarction nonobstructive arteries...
Background Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only a few demonstrated enough discriminatory capacity. Machine learning algorithms represent novel approach for the data-driven prediction of clinical outcomes advantages over statistical modeling. Objective We aimed develop machine learning–based score—the Piacenza score—for 30-day pneumonia. Methods The study comprised 852 admitted Guglielmo da Saliceto Hospital Italy from February...
The authors have withdrawn this manuscript at the request of their local IRB, because objectives outlined in study were not specifically approved by IRB. Therefore, do wish work to be cited as reference for project. If you any questions, please contact corresponding author.
Background . The RITMIA™ app (Heart Sentinel™, Parma, Italy) is a novel application that combined with wearable consumer-grade chest-strap Bluetooth heart rate monitor, provides automated detection of atrial fibrillation (AF), and may be promising for sustainable AF screening programs, since it known prolonged monitoring leads to increased diagnosis. Objective purpose this study was examine whether could accurately differentiate sinus rhythm (SR) from compared gold-standard...
Importance There is growing awareness of sex-related differences in cardiovascular risk profiles, but less known about whether these extend to pre-menopausal females experiencing an early-onset myocardial infarction (MI), who may benefit from the protective effects estrogen exposure. Methods A nationwide study involving 125 Italian Coronary Care Units recruited 2,000 patients between 1998 and 2002 hospitalized for a type I before age 45 years (male, n = 1,778 (88.9%). Patients were followed...
Aims: This study aimed to assess which variables on coronary computed tomography angiography (CTA) and vasodilator stress-echocardiography (SE) are best associated with long-term cardiac outcome in patients presenting for suspected chronic syndrome (CCS) who performed both tests. Methods: We identified 397 CCS who, between 2007 2019, underwent SE CTA within 30 days. Coronary artery calcium score (CACS) the number of arteries diameter stenosis >50% were assessed CTA. The presence...
Abstract Aims Sudden cardiac death (SCD) is a serious consequence of myocardial infarction (MI), but identifying patients at risk developing SCD remains major clinical challenge, especially in the case juvenile MI. The aim this study to identify predictors after early-onset MI using long-term follow-up data relating large nationwide patient cohort. Methods and results Italian Genetic Study on Early-onset enrolled 2000 experiencing first before age 45 years, who were followed up for median...
Introduction To date, there is no specific evidence or criteria for the selection of patients with PH and severe tricuspid insufficiency that can be initiated into correction valvulopathy. Tricuspid regurgitation a risk marker independent mortality in pulmonary hypertension. The critical factor success procedure certainly to find parameters select so they do not become just futile act. Method From initial group 271 patients, were selected final 123 all diagnosed precapillary confirmed by...
Background Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only few demonstrated enough discriminatory capacity. Machine-learning(ML) algorithms represent a novel approach for data-driven prediction of clinical outcomes advantages over statistical modelling. We the Piacenza score, ML-based 30-day pneumonia. Methods 852 (mean age 70years, 70%males) were enrolled from February November 2020. The dataset was randomly splitted into derivation and...
Abstract Funding Acknowledgements Nothing to declare OnBehalf None Background Peri-coronary fat attenuation index (pFAI) has emerged as a clinical marker of coronary inflammation, which is measurable from standard CT angiography (CCTA). It compares well with gold-standard methods for the assessment inflammation and can predict future cardiovascular events. pFAI could prove invaluable differentiate an inflammatory noninflammatory artery status, helping unravel mechanisms subtending event...
Abstract Patient Presentation and initial work up A 72 years old man with history of hypertension was admitted to our hospital due acute pulmonary oedema. He had no fever at that time he an known mitral valve prolapse but reported regurgitation (MR). Transthoracic Echocardiogram (TTE) performed it showed a severe MR. Transesophageal echocardiogram (TOE) the posterior leaflet suspicion cordal rupture presence aneurysm anterior perforation (panel B). Diagnosis Management MR as result previous...
Abstract Patient Presentation A 54 years old woman with dyslipidemia was admitted to the hospital due onset of persistent fever. She had no significant comorbidities and she a known mitral valve prolapse, which in clinical echocardiographic follow-up since more than 15 before. Two months before hospitalization underwent dental hygiene procedure without taking any antibiotic The included scaling polishing teeth, referred just mild bleeding. After few days reported fever therefore started take...
Abstract Aims Data regarding long-term prognosis of MINOCA are very limited and conflicting. Methods results The Italian Genetic Study on early-onset MI enrolled 2000 patients who had a first before they were 45. median follow-up was 19.9 years, the equivalent 39 535 person-years. composite primary endpoint cardiovascular (CV) death, non-fatal MI, stroke (MACE); secondary rehospitalization for coronary revascularization. experienced by 317 (15.9%). risk MACE not significantly different...
<sec> <title>BACKGROUND</title> Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only a few demonstrated enough discriminatory capacity. Machine learning algorithms represent novel approach for the data-driven prediction of clinical outcomes advantages over statistical modeling. </sec> <title>OBJECTIVE</title> We aimed develop machine learning–based score—the Piacenza score—for 30-day pneumonia. <title>METHODS</title> The study comprised 852...