COVID-19 response: effectiveness of weekly rapid risk assessments, Italy.

PROBLEM: After Italy's first national restriction measures in 2020, a robust approach was needed to monitor the emerging epidemic of coronavirus disease 2019 (COVID-19) at subnational level and provide data to inform the strengthening or easing of epidemic control measures. APPROACH: We adapted the European Centre for Disease Prevention and Control rapid risk assessment tool by including quantitative and qualitative indicators from existing national surveillance systems. We defined COVID-19 risk as a combination of the probability of uncontrolled transmission of severe acute respiratory syndrome coronavirus 2 and of an unsustainable impact of COVID-19 cases on hospital services, adjusted in relation to the health system's resilience. The monitoring system was implemented with no additional cost in May 2020. LOCAL SETTING: The infectious diseases surveillance system in Italy uses consistent data collection methods across the country's decentralized regions and autonomous provinces. RELEVANT CHANGES: Weekly risk assessments using this approach were sustainable in monitoring the epidemic at regional level from 4 May 2020 to 24 September 2021. The tool provided reliable assessments of when and where a rapid increase in demand for health-care services would occur if control or mitigation measures were not increased in the following 3 weeks. LESSONS LEARNT: Although the system worked well, framing the risk assessment tool in a legal decree hampered its flexibility, as indicators could not be changed without changing the law. The relative complexity of the tool, the impossibility of real-time validation and its use for the definition of restrictions posed communication challenges.

The black root: Aortic valve sparing in alkaptonuria.

We report an unusual case of black discoloration of an aortic root aneurysm and aortic valve cusps due to homogentisic acid deposition in a patient suffering from alkaptonuria. The patient underwent a valve-sparing aortic root replacement after careful and objective evaluation of the valve cusps. Despite alkaptonuria is classically associated with aortic valve stenosis and replacement, in the present case, the affected valve cusps were suitable for repair. To our knowledge, this is the first reported case of aortic valve-sparing procedure performed in a patient with alkaptonuria.

Emergent expansion of clinical epigenetics in patients with cardiovascular diseases.

PURPOSE OF REVIEW: Cardiovascular diseases (CVDs) are typically caused by multifactorial events including mutations in a large number of genes. Epigenetic-derived modifications in the cells are normal but can be amended by aging, lifestyle, and exposure to toxic substances. Major epigenetic modifications are DNA methylation, histone modification, chromatin remodeling as well as the noncoding RNAs. These pivotal players are involved in the epigenetic-induced modifications observed during CVDs. Nevertheless, despite impressive efforts capitalized in epigenetic research in the last 50 years, clinical applications are still not satisfactory. RECENT FINDINGS: Briefly, we present some of the recent steps forward in the epigenetic studies of CVDs. There is an increased appreciation for the contribution of epigenetic alterations in the development of CVDs. Now, we have novel epigenetic biomarkers and therapeutic trials with the use of statins, metformin, and some compounds affecting epigenetic pathways including a BET inhibitor apabetalone. The new knowledge of epigenetic regulation is also discussed in the light of precision medicine of CVDs. SUMMARY: Epigenetic studies of CVDs have the promise to yield both mechanistic insights as well as adjunct treatments (repurposed drugs and apabetalone). The overall concept of precision medicine is not widely recognized in routine medical practice and the so-called reductionist approach remains the most used way to treat CVD patients.

NFkappaB is a Key Player in the Crosstalk between Inflammation and Cardiovascular Diseases.

Inflammation is a key mechanism of cardiovascular diseases. It is an essential component of atherosclerosis and a significant risk factor for the development of cardiovascular events. In the crosstalk between inflammation and cardiovascular diseases, the transcription factor NFκB seems to be a key player since it is involved in the development and progression of both inflammation and cardiac and vascular damage. In this review, we deal with the recent findings of the role of inflammation in cardiac diseases, focusing, in particular, on NFκB as a functional link. We describe strategies for the therapeutic targeting of NFκB as a potential strategy for the failing heart.

Antidiabetic and Cardioprotective Effects of Pharmacological Inhibition of GRK2 in db/db Mice.

Despite the availability of several therapies for the management of blood glucose in diabetic patients, most of the treatments do not show benefits on diabetic cardiomyopathy, while others even favor the progression of the disease. New pharmacological targets are needed that might help the management of diabetes and its cardiovascular complications at the same time. GRK2 appears a promising target, given its established role in insulin resistance and in systolic heart failure. Using a custom peptide inhibitor of GRK2, we assessed in vitro in L6 myoblasts the effects of GRK2 inhibition on glucose extraction and insulin signaling. Afterwards, we treated diabetic male mice (db/db) for 2 weeks. Glucose tolerance (IGTT) and insulin sensitivity (ITT) were ameliorated, as was skeletal muscle glucose uptake and insulin signaling. In the heart, at the same time, the GRK2 inhibitor ameliorated inflammatory and cytokine responses, reduced oxidative stress, and corrected patterns of fetal gene expression, typical of diabetic cardiomyopathy. GRK2 inhibition represents a promising therapeutic target for diabetes and its cardiovascular complications.

Increased Epicardial Adipose Tissue Volume Correlates With Cardiac Sympathetic Denervation in Patients With Heart Failure.

RATIONALE: It has been reported that epicardial adipose tissue (EAT) may affect myocardial autonomic function. OBJECTIVE: The aim of this study was to explore the relationship between EAT and cardiac sympathetic nerve activity in patients with heart failure. METHODS AND RESULTS: In 110 patients with systolic heart failure, we evaluated the correlation between echocardiographic EAT thickness and cardiac adrenergic nerve activity assessed by (123)I-metaiodobenzylguanidine ((123)I-MIBG). The predictive value of EAT thickness on cardiac sympathetic denervation ((123)I-MIBG early and late heart:mediastinum ratio and single-photon emission computed tomography total defect score) was tested in a multivariate analysis. Furthermore, catecholamine levels, catecholamine biosynthetic enzymes, and sympathetic nerve fibers were measured in EAT and subcutaneous adipose tissue biopsies obtained from patients with heart failure who underwent cardiac surgery. EAT thickness correlated with (123)I-MIBG early and late heart:mediastinum ratio and single-photon emission computed tomography total defect score, but not with left ventricular ejection fraction. Moreover, EAT resulted as an independent predictor of (123)I-MIBG early and late heart:mediastinum ratio and single-photon emission computed tomography total defect score and showed a significant additive predictive value on (123)I-MIBG planar and single-photon emission computed tomography results over demographic and clinical data. Although no differences were found in sympathetic innervation between EAT and subcutaneous adipose tissue, EAT showed an enhanced adrenergic activity demonstrated by the increased catecholamine levels and expression of catecholamine biosynthetic enzymes. CONCLUSIONS: This study provides the first evidence of a direct correlation between increased EAT thickness and cardiac sympathetic denervation in heart failure.

Prosthesis depth and conduction disturbances after last generation balloon-expandable transcatheter aortic valve implantation.

Aims: Preliminary data on Sapien 3 valve (S3-THV) use for transcatheter aortic valve implantation have shown an increased permanent pacemaker implantation (PPMI) rate with respect to Sapien XT valve. Aim of this study was to investigate the role of S3-THV position in the left ventricular outflow tract (LVOT) on electrocardiographic changes suggestive of atrioventricular (ΔPR) and/or intraventricular (ΔQRS) conduction abnormalities and 30 days PPMI rate. Methods and results: Eighty-six consecutive patients treated with S3-THV were included in the study. All patients underwent clinical and electrocardiogram evaluation. Left ventricular outflow tract prosthesis depth was assessed by fluoroscopy and expressed quantitatively (mm) and as aorto-ventricular ratio (AVR). Eight patients (9.3%) needed PPMI at 30 days. A low AVR (≤60/40) predicted PPMI (OR = 6.09, 95% CI 1.19-31.01, P = 0.030) and resulted into higher PPMI rate, compared with higher AVR (30.0 vs. 6.6%, P = 0.017). For each millimetre increase in the LVOT prosthesis depth PPMI risk increased by 1.41 times (95% CI 1.06-1.87, P = 0.017). In patients with low AVR, ΔPR was higher than in those with higher AVR (33.4 ± 56.7 vs. 12.1 ± 19.4 ms, P = 0.021) and ΔPR was associated to LVOT prosthesis depth (ß = 0.286, P = 0.009). Furthermore, ΔPR was associated with risk of PPMI (OR = 1.03, 95% CI 1.01-1.06, P = 0.024). Conclusions: A low AVR is associated to higher ΔPR and PPMI rates. The correlation between LVOT prosthesis depth with ΔPR and higher PPMI rate suggests the need of a careful S3-THV implantation.

The mechanisms of air pollution and particulate matter in cardiovascular diseases.

Clinical and epidemiological studies demonstrate that short- and long-term exposure to air pollution increases mortality due to respiratory and cardiovascular diseases. Given the increased industrialization and the increased sources of pollutants (i.e., cars exhaust emissions, cigarette smoke, industry emissions, burning of fossil fuels, incineration of garbage), air pollution has become a key public health issue to solve. Among pollutants, the particulate matter (PM) is a mixture of solid and liquid particles which differently affects human health depending on their size (i.e., PM10 with a diameter <10 µm reach the lung and PM2.5 with a diameter <2.5 µm penetrate deeper into the lung). In particular, the acute exposure to PM10 and PM2.5 increases the rate of cardiovascular deaths. Thus, appropriate interventions to reduce air pollution may promote great benefits to public health by reducing the risk of cardiovascular diseases. Several biological mechanisms have been identified to date which could be responsible for PM-dependent adverse cardiovascular outcomes. Indeed, the exposure to PM10 and PM2.5 induces sustained oxidative stress and inflammation. PM2.5 is also able to increase autonomic nervous system activation. Some potential therapeutic approaches have been tested both in pre-clinical and clinical studies, based on the intake of antioxidants from dietary or by pharmacological administration. Studies are still in progress to increase the knowledge of PM activation of intracellular pathways and propose new strategies of intervention.

Recent Advances across the Spectrum of Heart Failure and Heart Transplant.

In recent years, remarkable progress has been accomplished in the heart failure (HF) landscape, with novel drugs and groundbreaking device approaches [...].

Analyzing Pre-operative Hospital Stay and Incidence of Hospital Acquired Infection: A Retrospective Study.

Background and objectives: Healthcare-associated infections (HCAIs) pose a significant challenge, impacting patient safety and treatment effectiveness. This retrospective study investigates the correlation between pre-operative hospital stays and HCAIs in ICU cardiac surgery patients. Materials and methods: Medical records of 35 patients who died post-cardiac surgery in the ICU were analyzed, focusing on the duration of pre-operative hospitalization. Results: Prolonged pre-operative stays strongly correlate (r = 0.993) with increased HCAIs, indicating a critical risk factor. Conclusions: The duration of pre-operative hospital stays is pivotal in HCAI risk. Prospective multicenter studies are needed for validation, which is crucial for enhancing patient safety and treatment efficacy.

[Choosing a tailored prosthetic valve in cardiac surgery: what is the current role of mechanical prostheses?] / Il ruolo delle protesi valvolari meccaniche oggi. Dalla letteratura alla situazione italiana.

The choice of the mechanical/biological heart valve prosthesis is a topic currently debated in the light of the transcatheter prosthetic models and the results obtained/expected with the new biological valve models. Consequently, it seems that increasingly younger patients would be indicated for an implantation of a biological prosthesis. This is also in order to improve the quality of life of patients who want to avoid oral anticoagulant therapy. On the other hand, the guidelines for the treatment of heart valve disease assign a central role to the use of mechanical valve prostheses, particularly for certain patient subsets and age groups. This means that mechanical prostheses are still widely used worldwide, especially in non-European or North American regions. The cardiac surgery community therefore seems to be very interested in biological prostheses and transcatheter implants and scarcely interested in mechanical prostheses, including possible strategies for self-management of anticoagulant therapy. Recently, the Italian Society of Cardiac Surgery promoted a survey among its members to stimulate interest in the cardiac surgery community. This review article aims to summarize the most current results recorded with the use of mechanical prostheses and possible strategies, especially for the management of oral anticoagulant therapy, which can improve the patient's quality of life.

Mechanical heart valves and oral anticoagulation: a survey of the Italian Society of Cardiac Surgery.

In the latest European guidelines for the management of valvular heart disease, mechanical valve prostheses maintain a strategic role, particularly for certain patient subsets and age groups. Despite the high number of devices implanted in clinical practice, particularly in non-European and North American regions, current scientific literature and debate seem to suggest a limited use of mechanical heart valves. The cardiac surgery community seems to be highly interested in biological and transcatheter valve prostheses but less interested in mechanical heart valves, including possible strategies for self-management of anticoagulation therapy. In this respect, the Italian Society of Cardiac Surgery (SICCH), in particular the Italian Group of Research for Outcome in Cardiac Surgery (GIROC), has promoted a survey among its members to stimulate the interest in this topic and express their opinion on this issue that, due to the prevalence of the affected population and the new treatment options for improving patients' quality of life, should be more appraised and debated in the cardiac surgery community. The recorded results, obtained on the answers to 111 questionnaires, seem to divide the specialists into 'pros' and 'contras' on a useful tool for the entire cardiac surgery community. For this reason, SICCH proposes in conclusion to declare its unified and institutional opinion on this topic.

"Transplantomics" for predicting allograft rejection: real-life applications and new strategies from Network Medicine.

Although decades of the reductionist approach achieved great milestones in optimizing the immunosuppression therapy, traditional clinical parameters still fail in predicting both acute and chronic (mainly) rejection events leading to higher rates across all solid organ transplants. To clarify the underlying immune-related cellular and molecular mechanisms, current biomedical research is increasingly focusing on "transplantomics" which relies on a huge quantity of big data deriving from genomics, transcriptomics, epigenomics, proteomics, and metabolomics platforms. The AlloMap (gene expression) and the AlloSure (donor-derived cell-free DNA) tests represent two successful examples of how omics and liquid biopsy can really improve the precision medicine of heart and kidney transplantation. One of the major challenges in translating big data in clinically useful biomarkers is the integration and interpretation of the different layers of omics datasets. Network Medicine offers advanced bioinformatic-molecular strategies which were widely used to integrate large omics datasets and clinical information in end-stage patients to prioritize potential biomarkers and drug targets. The application of network-oriented approaches to clarify the complex nature of graft rejection is still in its infancy. Here, we briefly discuss the real-life clinical applications derived from omics datasets as well as novel opportunities for establishing predictive tests in solid organ transplantation. Also, we provide an original "graft rejection interactome" and propose network-oriented strategies which can be useful to improve precision medicine of solid organ transplantation.

Autoantibodies to IgE can induce the release of proinflammatory and vasoactive mediators from human cardiac mast cells.

Mast cells are multifunctional immune cells with complex roles in tissue homeostasis and disease. Cardiac mast cells (HCMCs) are strategically located within the human myocardium, in atherosclerotic plaques, in proximity to nerves, and in the aortic valve. HCMCs express the high-affinity receptor (FcεRI) for IgE and can be activated by anti-IgE and anti-FcεRI. Autoantibodies to IgE and/or FcεRI have been found in the serum of patients with a variety of immune disorders. We have compared the effects of different preparations of IgG anti-IgE obtained from patients with atopic dermatitis (AD) with rabbit IgG anti-IgE on the release of preformed (histamine and tryptase) and lipid mediators [prostaglandin D2 (PGD2) and cysteinyl leukotriene C4 (LTC4)] from HCMCs. Functional human IgG anti-IgE from one out of six AD donors and rabbit IgG anti-IgE induced the release of preformed (histamine, tryptase) and de novo synthesized mediators (PGD2 and LTC4) from HCMCs. Human IgG anti-IgE was more potent than rabbit IgG anti-IgE in inducing proinflammatory mediators from HCMCs. Human monoclonal IgE was a competitive antagonist of both human and rabbit IgG anti-IgE. Although functional anti-IgE autoantibodies rarely occur in patients with AD, when present, they can powerfully activate the release of proinflammatory and vasoactive mediators from HCMCs.

An evidence-based debate on epigenetics and immunosenescence in COVID-19.

Immunosenescence contributes to the decline of immune function leading to a reduced ability to respond to severe coronavirus disease 2019 (COVID-19) in elderly patients. Clinical course of COVID-19 is widely heterogeneous and guided by the possible interplay between genetic background and epigenetic-sensitive mechanisms underlying the immunosenescence which could explain, at least in part, the higher percentage of disease severity in elderly individuals. The most convincing evidence regards the hypomethylation of the angiotensin-converting enzyme 2 (ACE2) promoter gene in lungs as well as the citrullination of histone H3 in neutrophils which have been associated with worsening of COVID-19 outcome in elderly patients. In contrast, centenarians who have showed milder symptoms have been associated to a younger "epigenetic age" based on DNA methylation profiles at specific genomic sites (epigenetic clock). Some large prospective studies showed that the acceleration of epigenetic aging as well as the shortening of telomeres were significantly associated with lymphopenia and poor outcome suggesting prognostic biomarkers in elderly COVID-19 patients. Furthermore, randomized clinical trials showed that statins, L-arginine, and resveratrol could mediate anti-inflammatory effects via indirect epigenetic interference and might improve COVID-19 outcome. Here, we discuss the epigenetic-sensitive events which might contribute to increase the risk of severity and mortality in older subjects and possible targeted therapies to counteract immunosenescence.

Cardiotoxicity, Cardioprotection, and Prognosis in Survivors of Anticancer Treatment Undergoing Cardiac Surgery: Unmet Needs.

BACKGROUND: Anticancer treatments are improving the prognosis of patients fighting cancer. However, anticancer treatments may also increase the cardiovascular (CV) risk by increasing metabolic disorders. Atherosclerosis and atherothrombosis related to anticancer treatments may lead to ischemic heart disease (IHD), while direct cardiac toxicity may induce non-ischemic heart disease. Moreover, valvular heart disease (VHD), aortic syndromes (AoS), and advanced heart failure (HF) associated with CV risk factors and preclinical CV disease as well as with chronic inflammation and endothelial dysfunction may also occur in survivors of anti-carcer treatments. METHODS: Public electronic libraries have been searched systematically looking at cardiotoxicity, cardioprotection, CV risk and disease, and prognosis after cardiac surgery in survivors of anticancer treatments. RESULTS: CV risk factors and disease may not be infrequent among survivors of anticancer treatments. As cardiotoxicity of established anticancer treatments has been investigated and is frequently irreversible, cardiotoxicity associated with novel treatments appears to be more frequently reversible, but also potentially synergic. Small reports suggest that drugs preventing HF in the general population may be effective also among survivors of anticancer treatments, so that CV risk factors and disease, and chronic inflammation, may lead to indication to cardiac surgery in survivors of anticancer treatments. There is a lack of substantial data on whether current risk scores are efficient to predict prognosis after cardiac surgery in survivors of anticancer treatments, and to guide tailored decision-making. IHD is the most common condition requiring cardiac surgery among survivors of anticancer treatments. Primary VHD is mostly related to a history of radiation therapy. No specific reports exist on AoS in survivors of anticancer treatments. CONCLUSIONS: It is unclear whether interventions to dominate cancer- and anticancer treatment-related metabolic syndromes, chronic inflammation, and endothelial dysfunction, leading to IHD, nonIHD, VHD, HF, and AoS, are as effective in survivors of anticancer treatments as in the general population. When CV diseases require cardiac surgery, survivors of anticancer treatments may be a population at specifically elevated risk, rather than affected by a specific risk factor.

Longitudinal Trajectory Modeling to Assess Adherence to Sacubitril/Valsartan among Patients with Heart Failure.

Medication adherence in chronic conditions is a long-term process. Modeling longitudinal trajectories using routinely collected prescription data is a promising method for describing adherence patterns and identifying at-risk groups. The study aimed to characterize distinct long-term sacubitril/valsartan adherence trajectories and factors associated with them in patients with heart failure (HF). Subjects with incident HF starting sac/val in 2017-2018 were identified from the Campania Regional Database for Medication Consumption. We estimated patients' continuous medication availability (CMA9; R package AdhereR) during a 12-month period. We selected groups with similar CMA9 trajectories (Calinski-Harabasz criterion; R package kml). We performed multinomial regression analysis, assessing the relationship between demographic and clinical factors and adherence trajectory groups. The cohort included 4455 subjects, 70% male. Group-based trajectory modeling identified four distinct adherence trajectories: high adherence (42.6% of subjects; CMA mean 0.91 ± 0.08), partial drop-off (19.6%; CMA 0.63 ± 0.13), moderate adherence (19.3%; CMA 0.54 ± 0.11), and low adherence (18.4%; CMA 0.17 ± 0.12). Polypharmacy was associated with partial drop-off adherence (OR 1.194, 95%CI 1.175-1.214), while the occurrence of ≥1 HF hospitalization (OR 1.165, 95%CI 1.151-1.179) or other hospitalizations (OR 1.481, 95%CI 1.459-1.503) were associated with low adherence. This study found that tailoring patient education, providing support, and ongoing monitoring can boost adherence within different groups, potentially improving health outcomes.

Artificial intelligence, big data and heart transplantation: Actualities.

BACKGROUND: As diagnostic and prognostic models developed by traditional statistics perform poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply chain of heart transplantation (HTx), allocation opportunities, correct treatments, and finally optimize HTx outcome. We explored available studies, and discussed opportunities and limits of medical application of AI to the field of HTx. METHOD: A systematic overview of studies published up to December 31st, 2022, in English on peer-revied journals, have been identified through PUBMED-MEDLINE-WEB of Science, referring to HTx, AI, BD. Studies were grouped in 4 domains based on main studies' objectives and results: etiology, diagnosis, prognosis, treatment. A systematic attempt was made to evaluate studies by the Prediction model Risk Of Bias ASsessment Tool (PROBAST) and the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD). RESULTS: Among the 27 publications selected, none used AI applied to BD. Of the selected studies, 4 fell in the domain of etiology, 6 in the domain of diagnosis, 3 in the domain of treatment, and 17 in that of prognosis, as AI was most frequently used for algorithmic prediction and discrimination of survival, but in retrospective cohorts and registries. AI-based algorithms appeared superior to probabilistic functions to predict patterns, but external validation was rarely employed. Indeed, based on PROBAST, selected studies showed, to some extent, significant risk of bias (especially in the domain of predictors and analysis). In addition, as example of applicability in the real-world, a free-use prediction algorithm developed through AI failed to predict 1-year mortality post-HTx in cases from our center. CONCLUSIONS: While AI-based prognostic and diagnostic functions performed better than those developed by traditional statistics, risk of bias, lack of external validation, and relatively poor applicability, may affect AI-based tools. More unbiased research with high quality BD meant for AI, transparency and external validations, are needed to have medical AI as a systematic aid to clinical decision making in HTx.

Thromboembolic Events after COVID-19 Vaccination: An Italian Retrospective Real-World Safety Study.

INTRODUCTION: Real-world safety studies can provide important evidence on the thromboembolic risk associated with COVID-19 vaccines, considering that millions of people have been already vaccinated against COVID-19. In this study, we aimed to estimate the incidence of thromboembolic events after COVID-19 vaccination and to compare the Oxford-AstraZeneca vaccine with other COVID-19 vaccines. METHODS: We conducted a retrospective real-world safety study using data from two different data sources: the Italian Pharmacovigilance database (Rete Nazionale di Farmacovigilanza, RNF) and the Campania Region Health system (Sistema INFOrmativo saNità CampanIA, SINFONIA). From the start date of the COVID-19 vaccination campaign (27 December 2021) to 27 September 2022, information on COVID-19 vaccinations and thromboembolic events were extracted from the two databases. The reporting rate (RR) and its 95% confidence interval (95%CI) of thromboembolic events for 10,000 doses was calculated for each COVID-19 vaccine. Moreover, the odds of being vaccinated with the Oxford-AstraZeneca vaccine vs. the other COVID-19 vaccines in cases with thromboembolic events vs. controls without thromboembolic events were computed. RESULTS: A total of 12,692,852 vaccine doses were administered in the Campania Region, of which 6,509,475 (51.28%) were in females and mostly related to the Pfizer-BioNtech vaccine (65.05%), followed by Moderna (24.31%), Oxford-AstraZeneca (9.71%), Janssen (0.91%), and Novavax (0.02%) vaccines. A total of 641 ICSRs with COVID-19 vaccines and vascular events were retrieved from the RNF for the Campania Region, of which 453 (70.67%) were in females. Most ICSRs reported the Pfizer-BioNtech vaccine (65.05%), followed by Oxford-AstraZeneca (9.71%), Moderna (24.31%), and Janssen (0.91%). A total of 2451 events were reported in the ICSRs (3.8 events for ICSRs), of which 292 were thromboembolic events. The higher RRs of thromboembolic events were found with the Oxford-AstraZeneca vaccine (RR: 4.62, 95%CI: 3.50-5.99) and Janssen vaccine (RR: 3.45, 95%CI: 0.94-8.82). Thromboembolic events were associated with a higher likelihood of exposure to the Oxford-AstraZeneca vaccine compared to Pfizer-BioNtech (OR: 6.06; 95%CI: 4.22-8.68) and Moderna vaccines (OR: 6.46; 95%CI: 4.00-10.80). CONCLUSION: We observed a higher reporting of thromboembolic events with viral-vector-based vaccines (Oxford-AstraZeneca and Janssen) and an increased likelihood of being exposed to the Oxford-AstraZeneca vaccine compared to the mRNA vaccines (Pfizer-BioNtech and Moderna) among thromboembolic cases.