Ibrutinib-associated atrial fibrillation treatment with catheter ablation

Diagnosis and Management of Cardiovascular Effects of Bruton's Tyrosine Kinase Inhibitors

PURPOSE OF REVIEW

Bruton's tyrosine kinase inhibitors (BTKis) have changed the treatment and prognosis of several B-cell malignancies. However, since the approval of the first BTKi, ibrutinib, reports of cardiovascular adverse events especially atrial fibrillation have arisen. In this review, we discuss the cardiovascular side effects of BTKis and the management of these toxicities in clinical practice.

RECENT FINDINGS

BTKIs increase the risks of atrial fibrillation, bleeding, hypertension, heart failure, and potentially ventricular arrhythmia. Newer second and third-generation BTKis appear to have a lower risk of cardiovascular adverse events; however, long-term follow-up data are not available for these new BTKis. BTKis are an effective treatment for some B-cell malignancies; however, they can cause cardiovascular side effects. The best preventive strategies to minimize cardiovascular complications remain undefined. Currently, a practical approach for managing patients receiving BTKis includes the management of cardiovascular risk factors and side effects of BTKis to prevent interruption of cancer treatment.

Artificial intelligence applications in cardio-oncology: Leveraging high dimensional cardiovascular data

Growing evidence suggests a wide spectrum of potential cardiovascular complications following cancer therapies, leading to an urgent need for better risk-stratifying and disease screening in patients undergoing oncological treatment. As many cancer patients undergo frequent surveillance through imaging as well as other diagnostic testing, there is a wealth of information that can be utilized to assess one's risk for cardiovascular complications of cancer therapies. Over the past decade, there have been remarkable advances in applying artificial intelligence (AI) to analyze cardiovascular data obtained from electrocardiograms, echocardiograms, computed tomography, and cardiac magnetic resonance imaging to detect early signs or future risk of cardiovascular diseases. Studies have shown AI-guided cardiovascular image analysis can accurately, reliably and inexpensively identify and quantify cardiovascular risk, leading to better detection of at-risk or disease features, which may open preventive and therapeutic opportunities in cardio-oncology. In this perspective, we discuss the potential for the use of AI in analyzing cardiovascular data to identify cancer patients at risk for cardiovascular complications early in treatment which would allow for rapid intervention to prevent adverse cardiovascular outcomes.