Current cardiology reports
-
To (i) review the concept of artificial intelligence (AI); (ii) summarize recent developments in artificial intelligence-enabled electrocardiogram (AI-ECG); (iii) address notable inherent limitations and challenges of AI-ECG; and (iv) discuss the future direction of the field. ⋯ Advancements in machine learning and computing methods have led to application of AI-ECG and potential new applications to patient care. Further study is needed to verify previous findings in diverse populations as well as begin to confront the limitations needed for clinical implementation. Nearly one century after the Nobel Prize was awarded to Willem Einthoven for demonstrating that an electrocardiogram (ECG) could record the electrical signature of the heart, the ECG remains one of the most important diagnostic tests in modern medicine. We now stand at the edge of true ECG innovation. Simultaneous advancements in computing power, wireless technology, digitized data availability, and machine learning have led to the birth of AI-ECG algorithms with novel capabilities and real potential for clinical application. AI has the potential to improve diagnostic accuracy and efficiency by providing fully automated, unbiased, and unambiguous ECG analysis along with promising new findings that may unlock new value in the ECG. These breakthroughs may cause a paradigm shift in clinical workflow as well as patient monitoring and management.
-
We aim to provide a comprehensive analysis of hypercoagulability in individuals affected by COVID-19. Our goal is to describe the hypercoagulable state related to the infection and provide guidance regarding the possible benefits of anti-coagulation with the support of evidence from current literature. ⋯ The incidence of thrombotic disease in individuals affected by COVID-19 is reported as high as 31%. A significant mortality benefit has been observed with the use of therapeutic anticoagulation in high-risk individuals. Literature supports the use of scoring systems, such as the sepsis-induced coagulopathy score, to risk-stratify individuals who might benefit from anticoagulation. COVID-19-induced hypercoagulability has been demonstrated to play a significant role in overall COVID-19 outcomes. Current literature shows promising evidence with the use of therapeutic anticoagulation in high-risk individuals. Further studies are needed to better analyze the risks and benefits of anticoagulation in this specific patient population.
-
Novel coronavirus disease 2019 (COVID-19) has been associated with an increased risk of arterial and venous thromboembolic (VTE) diseases. However, there is a limited amount of data regarding the prevention and management of VTE in severe hospitalized COVID-19 patients. ⋯ In this article, we review currently available clinical data, and mechanisms for COVID-associated coagulopathy, and propose algorithms for screening, prevention (including extended-duration prophylaxis), and treatment of these patients. Although these recommendations are subject to change given rapidly evolving data, we provide a framework that can guide clinicians in managing thrombotic complications in this challenging condition.