This is a multicenter, prospective observational study. Will be collecting data from 90 consecutive patients (aged 25- 60 years ) with and without migraine admitted at our Hospital. Primary aim of the study will be to assess the correlation between migraine and proteomic profiling of plasma and their possible correlation with known cardio and cerebrovascular disease and Cardiovascular (CV) risk factors.

开始日期2024-04-03

申办/合作机构

Centro Cardiologico Monzino SpA

[+1]

NCT06193655 / Not yet recruitingN/AIIT

Test Retest Reproducibility of Right heArt Parameters by Echocardiography and Cardiac Magnetic Resonance (EACVI TERRA Study)

The reliability of advanced echocardiographic and cardiac magnetic resonance (CMR) parameters at repeated measurements is not fully clarified. Test-retest reliability of measurements is crucial for follow-up studies and for clinical monitoring of patients to detect a significant change in ventricular performance, as well as to assess the outcome of various therapies on the size and function of cardiac structures. For echocardiography, the variability of the measurement is more complex, as it depends both on acquisition and reading variability, but also closer to the real life setting than observer variability. Much more limited data exist on the test-retest reliability of right heart parameters, i.e. right ventricle (RV), right atrial (RA) and tricuspid annulus (TA) parameters than on their observer variability and than of the equivalent left-sided parameters.
The primary aim of the study is to compare the test-retest reproducibility and agreement of advanced echocardiographic parameters of RV and RA size and function, and of tricuspid annulus (TA) size against the respective parameters obtained by conventional echocardiography and by CMR (where applicable).

开始日期2024-01-01

申办/合作机构

Istituto Auxologico Italiano

[+1]

NCT06190743 / Active, not recruitingN/AIIT

Perception of Cardiovascular Risk: Description of the Phenomenon in Primary Prevention

The aim of the study is to describe the association between the perception of cardiovascular (CV) risk and the actual CV risk and, secondarily, to detect the actual CV risk to assess the prevalence of clinical risk factors, determined by means of appropriate instruments.

开始日期2023-09-29

申办/合作机构

Centro Cardiologico Monzino SpA

[+2]

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637

项与 Centro Cardiologico Monzino SpA 相关的文献（医药）

2025-03-01·COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Predicting vulnerable coronary arteries: A combined radiomics-biomechanics approach

Article

作者: Migliavacca, Francesco ; Stefanati, Marco ; Mainardi, Luca ; Dubini, Gabriele ; Leccardi, Matteo ; Cerveri, Pietro ; Depaoli, Alessandro ; Rodriguez Matas, José F ; Corino, Valentina D A ; De Filippo, Ovidio ; Corti, Anna

BACKGROUND AND OBJECTIVE:

Nowadays, vulnerable coronary plaque detection from coronary computed tomography angiography (CCTA) is suboptimal, although being crucial for preventing major adverse cardiac events. Moreover, despite the suggestion of various vulnerability biomarkers, encompassing image and biomechanical factors, accurate patient stratification remains elusive, and a comprehensive approach integrating multiple markers is lacking. To this aim, this study introduces an innovative approach for assessing vulnerable coronary arteries and patients by integrating radiomics and biomechanical markers through machine learning methods.

METHODS:

The study included 40 patients (7 high-risk and 33 low-risk) who underwent both CCTA and coronary optical coherence tomography (OCT). The dataset comprised 49 arteries (with 167 plaques), 7 of which (with 28 plaques) identified as vulnerable by OCT. Following image preprocessing and segmentation, CCTA-based radiomic features were extracted and a finite element analysis was performed to compute the biomechanical features. A novel machine learning pipeline was implemented to stratify coronary arteries and patients. For each stratification task, three independent predictive models were developed: a radiomic, a biomechanical and a combined radiomic-biomechanical model. Both k-nearest neighbors (KNN) and decision tree (DT) classifiers were considered.

RESULTS:

The best radiomic model (KNN) detected all 7 vulnerable arteries and patients and was associated with a balanced accuracy of 0.86 (sensitivity=1, specificity=0.71) for the artery model and of 0.83 (sensitivity=1, specificity=0.67) for the patient model. The best biomechanical model (DT) detected 6 over 7 vulnerable arteries and patients and remarkably increased the specificity, resulting in a balanced accuracy of 0.89 (sensitivity=0.86, specificity=0.93) for the artery model and of 0.88 (sensitivity=0.86, specificity=0.91) for the patient model. Notably, the combined approach optimized the performance, with an increase in the balance accuracy up to 0.94 for the artery model and up to 0.92 for the patient model, being associated with sensitivity=1 and high specificity (0.88 and 0.85 for artery and patient models, respectively).

CONCLUSION:

This investigation highlights the promise of radio-mechanical coronary artery phenotyping for patient stratification. If confirmed from larger studies, our approach enables a more personalized management of the disease, with the early identification of high-risk individuals and the reduction of unnecessary interventions for low-risk individuals.

2025-01-01·INTERNATIONAL JOURNAL OF CARDIOLOGY

Clinical parameters of death and heart failure hospitalization in biventricular systolic dysfunction assessed via cardiac magnetic resonance

Article

作者: Barison, Andrea ; Nese, Alberto ; Sverzellati, Nicola ; Schoepf, U Joseph ; Focardi, Marta ; Abete, Raffaele ; Casavecchia, Grazia ; Rodriguez-Palomares, Jose’ F. ; Dobrovie, Monica ; Al’Aref, Subhi J. ; Camastra, Giovanni ; Lorenzoni, Valentina ; Di Giovine, Gabriella ; Masci, Pier-Giorgio ; Schoepf, U. Joseph ; Palumbo, Alessandro ; Atreya, Auras ; Martini, Chiara ; Margonato, Davide ; Masi, Ambra ; Tarun, Tushar ; Todiere, Giancarlo ; Gravina, Matteo ; Cicala, Gloria ; Lozano-Torres, Jordi ; Marzo, Francesca ; Timpani, Mauro ; Squeri, Angelo ; Guglielmo, Marco ; FusiniGaibazzi, Nicola ; Mansour, Munthir ; Pedrotti, Patrizia ; Aquaro, Giovanni Donato ; Devabhaktuni, Subodh ; De Cecco, Carlo N ; Calo, Leonardo ; Moro, Claudio ; Lanzillo, Chiara ; Pontone, Gianluca ; Lombardi, Massimo ; Muscogiuri, Giuseppe ; Marra, Martina Perazzolo ; De Cecco, Carlo N. ; Baggiano, Andrea ; Valentini, Adele ; Censi, Stefano ; Rodriguez-Palomares, Jose' F ; Carigi, Samuela ; De Lazzari, Manuel ; Fusini, Laura ; Sbarbati, Stefano ; Tat, Emily ; Pradella, Silvia ; Schwitter, Juerg ; Volpe, Alessandra ; Gaibazzi, Nicola ; Gautam, Nitesh ; Carrabba, Nazario ; Pavon, Anna Giulia ; Al'Aref, Subhi J ; Bogaert, Jan ; Presicci, Cristina ; Mushtaq, Saima ; Guaricci, Andrea Igoren ; Rabbat, Mark G ; Rabbat, Mark G. ; Gismondi, Annalaura ; Alqaisi, Omar ; Raineri, Claudia ; Varga-Szemes, Akos ; Symons, Rolf

AIMS:

While factors associated with adverse events are well elucidated in setting of isolated left ventricular dysfunction, clinical and imaging-based prognosticators of adverse outcomes are lacking in context of biventricular dysfunction. The purpose of this study was to establish role of clinical variables in prognosis of biventricular heart failure (HF), as assessed by cardiac magnetic resonance imaging.

METHODS:

Study cohort consisted of 840 patients enrolled in DERIVATE registry with coexisting CMR-derived right ventricular (RV) and left ventricular (LV) dysfunction, as defined by RV and LV ejection fractions ≤45 % and ≤ 50 %, respectively. The primary objective was to identify factors associated with adverse long-term outcomes, defined as composite of all-cause death and HF hospitalizations (DHFH). Kaplan-Meir curves were plotted for survival analysis. Cox proportional hazard models were constructed to estimate adjusted hazard ratios (aHRs) and associated 95 % confidence intervals for clinical variables and their correlation with adverse events.

RESULTS:

Mean age was 61.0 years; 83.1 % were male, 26.6 % had diabetes mellitus (DM), and 45.9 % had non-ischemic cardiomyopathy. At median follow-up of 2 years, DHFH occurred in 32.5 % of the cohort. Kaplan-Meir analysis showed higher rate of DHFH in patients with DM (35.2 % vs. 22.6 %, p < 0.001). Multivariate Cox regression analysis showed that DM was independently associated with DHFH (aHR 1.61 [95 % CI: 1.15-2.25]; p = 0.003). Importantly, ACE-inhibitor/ARB usage in patients with DM was associated with significant reduction in DHFH (aHR 0.53 [95 % CI: 0.31-0.90]; p = 0.02).

CONCLUSION:

In patients with biventricular HF, DM was a strong predictor of DHFH, with ACE-inhibitor/ARB usage having cardioprotective effect.

2025-01-01·COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Integrating radiomic and 3D autoencoder-based features for Non-Small Cell Lung Cancer survival analysis

Article

作者: Corino, Valentina D A ; Corino, Valentina D.A. ; Ferretti, Meri

BACKGROUND AND OBJECTIVES:

The aim of this study is to develop a radiomic and deep learning-based signature for survival analysis of patients with Non-Small Cell Lung Cancer.

METHODS:

Four-hundred twenty-two patients from "Lung1" dataset were included in the study. A 3D convolutional autoencoder (AE) was built and features from the latent space extracted for further analysis. Radiomic features were derived from the 3D volume of the tumor region using PyRadiomics. Both radiomic and AE-based features underwent feature selection, by removing: i) highly correlated and ii) constant features. The selected variables were then used to derive both mono-domain (radiomics, AE and clinic) and multi-domain signatures fitting a Cox Proportional Hazard model with LASSO penalization and evaluated considering the concordance (C)-index as performance metric.

RESULTS:

Both mono-domain and multi-domain signatures could significantly differentiate high risk from low risk patients. Among the mono-domain signatures, the highest hazard ratio (HR) in the test set was obtained using radiomics (HR = 1.5428) followed by the AE-based signature (HR = 1.5012) and the clinical signature (HR = 1.4770). The best overall performance was achieved by combining all three signatures, resulting in the highest HR (HR = 1.7383), while the combination of AE-based and clinical signatures yielded the highest C-index (C-index = 0.6309).

CONCLUSIONS:

These preliminary results show that combining information carried by AE, radiomic and clinical domain shows potential for improving the prediction of overall survival in NSCLC patients.

项与 Centro Cardiologico Monzino SpA 相关的新闻（医药）

2023-05-24

·BioSpace

New Data Reveal Role of SARS-Cov-2 Spike Protein in Covid-19 Associated Coagulopathy

Unprecedented comprehension of the interaction between Spike and the Human Estrogen Receptor Alfa provides insights for a new generation of anti SARS-CoV-2 and pan-Coronavirus vaccines Italian and US researchers have revealed how the SARS-CoV-2 Spike protein interacts with human Estrogen Receptor-α (ERα) leading to severe coagulopathy observed in COVID-19 patients. The new data - published in Nature’s Signal Transduction and Targeted Therapy - shows that point mutations in the sequence of SARS-CoV-2 Spike (S)-protein eliminate its pro-coagulation effect without compromising immunogenicity. The findings provide actionable insights for designing vaccines lacking of estrogen-receptor mediated side effects for all coronavirus strains and other viral infections. MILAN & SAN MATEO, Calif.--(BUSINESS WIRE)-- Dompé farmaceutici announced today new peer-reviewed data demonstrating that small changes in the SARS-CoV-2 Spike (S)-protein sequence can eliminate its effect in inducing coagulation1. The tendency for the Spike protein to stimulate inflammatory and coagulation has been implicated in coagulopathy observed in the lungs, heart and kidneys of COVID-19 patients with a similar and extremely rare effects observed in a minority of patients who received COVID-19 vaccines. This press release features multimedia. View the full release here: Framework Dompé farmaceutici Biotech production (Photo: Business Wire) Data stemmed from the EXSCALATE supercomputing calculation predicted a potential function of Spike (S) as a co-factor for human ERα nuclear signalling. This interaction is mediated by a nuclear receptor co-regulator (NRC) LXD-like motif present on the viral protein S2 subunit, and the activation function 2 (AF-2) region on ERα2. This work builds on other recent studies3,4 showing that coagulopathy is clearly associated with the interaction of the SARS-CoV-2 Spike (S) protein with the human Erα. While circulating estrogens play a protective role by regulating the immune response to infection, modulation of ERα signalling in SARS-CoV-2-infected lung tissue stimulates proinflammatory signals leading to hypertrophy, vasoconstriction, and vessel obstruction. In the new article the scientists of the italo-american collaboration (encompassing Centro Cardiologico Monzino in Italy and the National Institute on Drug Abuse and the Johns Hopkins School of Medicine in the US) demonstrated that the interaction between the Spike protein and ERα leads to an increase in tissue factor (TF) and the overall pro-coagulation activity in two human endothelial cell lines. The results were further validated by overexpressing S-protein in mice. This pro-coagulative function of Spike in vitro and in vivo, was abolished or strongly reduced by the variants of the Spike proteins carrying mutations in the interaction domain with ERα (as predicted by EXSCALATE). “The value and benefits of vaccines in countering the COVID-19 pandemic remain unquestionable and overwhelming compared to the risks associated with infection from SARS-CoV-2” underscores Maurizio Pesce, a research Group Leader at the Monzino Cardiology Center in Milan, Italy, and initiator of the study in 2021 together with the leading Silvia Barbieri, another research Group Leader at Monzino, “We hope that our findings will be considered in the development of the next generation of vaccines reducing the residual side effects and risks. Our data also unravel a new function of the viral protein in direct regulation of thrombosis associated factors. This has general implications not only for COVID-19, but for other viral infections altering the coagulation pro patients”. “This continuing research is critical to understand the pathogenetic mechanisms associated with SARS-CoV2 infection and causal mechanisms of some rare COVID-19 vaccine side effects,” says Dompé farmaceutici Chief Scientific Officer Marcello Allegretti “Ongoing expanding data is revealing a well-conserved region with the same characteristics of the LXD-like motif present on the viral protein S2 subunit, also in other Coronaviruses. This evidence could open new scenarios in ‘pan-Coronavirus’ vaccination. We are excited to identify a path toward further refinement strategies to enable even more powerful benefits through future vaccination and booster initiatives”. ____________________________________________________________________________________ About Dompé Dompé is a private, rapidly scaling international biopharmaceutical company founded in Milan, Italy, with a 130-year legacy of medical innovation. The R&D department of the company is anchored by EXSCALATE, a structure-based virtual screening platform developed in-house that leverages one of the most powerful supercomputing and artificial intelligence platforms in the world. Today, Dompé employs more than 800 employees worldwide and maintains a US commercial operations hub in the San Francisco Bay Area as well as an R&D presence in Boston. Forward Looking Statements This press release refers to certain information that may not coincide with expected future results. Dompé firmly believes in the soundness and reasonableness of the concepts expressed. However, some of the information is subject to a certain degree of indetermination in relation to its research and development activities and the necessary verifications to be performed by regulatory bodies. Therefore, as of today, Dompé cannot guarantee that the expected results will be consistent with the information provided above. 1. SS Barbieri et al. Relevance of the viral Spike protein/cellular Estrogen Receptor-α interaction for endothelial-based coagulopathy induced by SARS-CoV-2 - Signal Transduction and Targeted Therapy - 2. Allegretti, M. et al. Repurposing the estrogen receptor modulator raloxifene to treat SARS-CoV-2 370 infection. Cell Death Differ. 29, 156-166 (2022). 371 - 3. Wilcox et al. Sex Differences in Thrombosis and Mortality in Patients Hospitalized for COVID-19, Am J Cardiol. 2022 May 1; 170: 112–117 - 4. Science Advances - The SARS-CoV-2 spike protein binds and modulates estrogen receptors - eadd4150 (2022) 30 November 2022 -

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