ABSTRACT
Prevention and effective treatment of cardiovascular disease are progressive issues that grow in tandem with the average age of the world population. Over recent decades, the potential role of artificial intelligence in cardiovascular medicine has been increasingly recognized because of the incredible amount of real-world data (RWD) regarding patient health status and healthcare delivery that can be collated from a variety of sources wherein patient information is routinely collected, including patient registries, clinical case reports, reimbursement claims and billing reports, medical devices, and electronic health records. Like any other (health) data, RWD can be analysed in accordance with high-quality research methods, and its analysis can deliver valuable patient-centric insights complementing the information obtained from conventional clinical trials. Artificial intelligence application on RWD has the potential to detect a patient's health trajectory leading to personalized medicine and tailored treatment. This article reviews the benefits of artificial intelligence in cardiovascular prevention and management, focusing on diagnostic and therapeutic improvements without neglecting the limitations of this new scientific approach.
Subject(s)
Cardiovascular Agents , Cardiovascular Diseases , Humans , Artificial Intelligence , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/prevention & control , Research Design , Precision MedicineABSTRACT
SARS-CoV2 infection, responsible for the COVID-19 disease, can determine cardiac as well as respiratory injury. In COVID patients, viral myocarditis can represent an important cause of myocardial damage. Clinical presentation of myocarditis is heterogeneous. Furthermore, the full diagnostic algorithm can be hindered by logistical difficulties related to the transportation of COVID-19 patients in a critical condition to the radiology department. Our aim was to study longitudinal systolic cardiac function in patients with COVID-19-related myocarditis with echocardiography and to compare these findings with cardiac magnetic resonance (CMR) results. Patients with confirmed acute myocarditis and age- and gender-matched healthy controls were enrolled. Both patients with COVID-19-related myocarditis and healthy controls underwent standard transthoracic echocardiography and speckle-tracking analysis at the moment of admission and after 6 months of follow-up. The data of 55 patients with myocarditis (mean age 46.4 ± 15.3, 70% males) and 55 healthy subjects were analyzed. The myocarditis group showed a significantly reduced global longitudinal strain (GLS) and sub-epicardial strain, compared to the control (p < 0.001). We found a positive correlation (r = 0.65, p < 0.0001) between total scar burden (TSB) on CMR and LV GLS. After 6 months of follow-up, GLS showed marked improvements in myocarditis patients on optimal medical therapy (p < 0.01). Furthermore, we showed a strong association between baseline GLS, left ventricular ejection fraction (LVEF) and TSB with LVEF at 6 months of follow-up. After a multivariable linear regression analysis, baseline GLS, LVEF and TSB were independent predictors of a functional outcome at follow-up (p < 0.0001). Cardiac function and myocardial longitudinal deformation, assessed by echocardiography, are associated with TSB at CMR and have a predictive value of functional recovery in the follow-up.
Subject(s)
COVID-19 , Myocarditis , Adult , COVID-19/diagnostic imaging , Cicatrix/complications , Cicatrix/diagnostic imaging , Echocardiography/methods , Female , Humans , Male , Middle Aged , Myocarditis/complications , Myocarditis/diagnostic imaging , Prognosis , RNA, Viral , SARS-CoV-2 , Stroke Volume , Ventricular Function, LeftSubject(s)
Cardiac Rehabilitation/methods , Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Pandemics/statistics & numerical data , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , Secondary Prevention/organization & administration , Betacoronavirus , COVID-19 , Coronavirus Infections/diagnosis , Female , Humans , Italy , Male , Pandemics/prevention & control , Pneumonia, Viral/diagnosis , Program Development , Program Evaluation , SARS-CoV-2ABSTRACT
The COVID-19 outbreak is having a significant impact on both cardiac rehabilitation (CR) inpatient and outpatient healthcare organization. The variety of clinical and care scenarios we are observing in Italy depends on the region, the organization of local services and the hospital involved. Some hospital wards have been closed to make room to dedicated beds or to quarantine the exposed health personnel. In other cases, CR units have been converted or transformed into COVID-19 units. The present document aims at defining the state of the art of CR during COVID-19 pandemic, through the description of the clinical and management scenarios frequently observed during this period and the exploration of the future frontiers in the management of cardiac rehabilitation programs after the COVID-19 outbreak.