Cardiac complications during the active phase of COVID-19: review of the current evidence.
Mohammad Said RamadanLorenzo BertolinoTommaso MarrazzoMaria Teresa FlorioEmanuele Durante-Mangoninull nullPublished in: Internal and emergency medicine (2021)
Growing reports since the beginning of the pandemic and till date describe increased rates of cardiac complications (CC) in the active phase of coronavirus disease 2019 (COVID-19). CC commonly observed include myocarditis/myocardial injury, arrhythmias and heart failure, with an incidence reaching about a quarter of hospitalized patients in some reports. The increased incidence of CC raise questions about the possible heightened susceptibility of patients with cardiac disease to develop severe COVID-19, and whether the virus itself is involved in the pathogenesis of CC. The wide array of CC seems to stem from multiple mechanisms, including the ability of the virus to directly enter cardiomyocytes, and to indirectly damage the heart through systemic hyperinflammatory and hypercoagulable states, endothelial injury of the coronary arteries and hypoxemia. The induced CC seem to dramatically impact the prognosis of COVID-19, with some studies suggesting over 50% mortality rates with myocardial damage, up from ~ 5% overall mortality of COVID-19 alone. Thus, it is particularly important to investigate the relation between COVID-19 and heart disease, given the major effect on morbidity and mortality, aiming at early detection and improving patient care and outcomes. In this article, we review the growing body of published data on the topic to provide the reader with a comprehensive and robust description of the available evidence and its implication for clinical practice.
Keyphrases
- coronavirus disease
- sars cov
- risk factors
- heart failure
- respiratory syndrome coronavirus
- left ventricular
- oxidative stress
- clinical practice
- emergency department
- coronary artery
- cardiovascular events
- machine learning
- coronary artery disease
- randomized controlled trial
- metabolic syndrome
- systematic review
- atrial fibrillation
- big data
- cardiovascular disease
- drug induced
- pulmonary hypertension
- type diabetes
- deep learning
- skeletal muscle
- adverse drug
- glycemic control
- single cell
- stress induced