Cardiovascular Diseases
Conditions
Keywords
Covid 19, Pneumonia
Brief summary
Acute and chronic cardiovascular complications of pneumonia are common and result from various mechanisms, including relative ischemia, systemic inflammation, and pathogen-mediated injury. However, there is only limited published data regarding on cardiovascular desease (CV) submissions in the wake of viral outbreaks. Data collected during the COVID-19 pandemic highlighted a number of possible determinants of adverse outcome in these patients, particularly with reference to cardio-respiratory complications.
Detailed description
The risk of death increases substantially after age 60, in men and in overweight patients. Cardiac involvement, characterized by elevation of cardiac Troponin I and brain-like natriuretic peptide, is frequent in COVID-19 patients and is associated with a worse prognosis. Finally, right ventricular (RV) dilatation and dysfunction is the most common echocardiographic abnormality in patients with COVID-19, at least in part due to a substantial incidence of pulmonary thromboembolism (PTE). Cardiac abnormalities in COVID-19 patients include changes in heart rate and cardiac autonomic modulation, as well as systemic activation of inflammatory processes, with endothelial damage and involvement of the CV and respiratory systems. The research program will examine imaging and clinical biomarkers associated with plasma and cellular determinants of cardiovascular disease, taking into account the potential effects of COVID-19 infection. This will make it possible to re-evaluate the cardiovascular risk profile of subjects with cardiovascular diseases.
Interventions
OTHERsample blood
At the time of enrolment, peripheral blood sampling is expected at the outpatient clinic of the experimental center and the study of the patient's clinical history.
Sponsors
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Study design
Allocation
RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Intervention model description
Creation within the data platform of the Cardiology Network of a database of studies containing relevant information on patients with cardiovascular diseases with and without COVID 19; Study the prevalence of cardiovascular risk factors by collecting patient information and analyzing data using conventional statistical analysis and machine learning techniques to develop multivariable models and identify those at greatest risk.
Eligibility
Sex/Gender
ALL
Age
45 Years to 90 Years
Healthy volunteers
Yes
Inclusion criteria
* Women and men between the ages of 45 and 90; * Patients diagnosed with cardiovascular disease; * Patients with diabetes; * Patients with dyslipidemia; * Patients with hypertension, myocardial infarction (pre-existing or acute STEMI or NSTEMI event) chronic stable angina, peripheral vascular disease, stroke or TIA
Exclusion criteria
* Inflammatory diseases and/or infections (except for the IMA-COVID-19 group); * Tumors, immunological and/or hematological disorders; * Ejection fraction less than 40%; * Treatments with anti-inflammatory drugs, with the exception of low-dose aspirin, and antibiotic therapies up to 1 month before enrolment.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Assess cardiovascular risk | 6 months | The primary objective is to examine clinical and imaging biomarkers associated with plasma and cellular determinants of cardiovascular disease, taking into account the potential effects of COVID-19 infection, to reevaluate the cardiovascular risk profile of individuals with cardiovascular disease |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| The prevalence of cardiovascular risk factors in chronic COVID 19 partecipants. | 6 months | Study the prevalence of cardiovascular risk factors by collecting partecipants information and analyzing data using conventional statistical analysis and machine learning techniques to develop multivariable models and identify those at greatest risk and investigation of immune dysregulation may play a role in the evolution of CV disease characteristics of chronic and convalescent COVID-19 patrtecipants, in this field we will perform detailed clinical cardiological and immunological phenotyping on enrolled patients. |
Countries
Italy
Outcome results
None listed