Sadler Diego, Okwuosa Tochukwu, Teske A J, Guha Avirup, Collier Patrick, Moudgil Rohit, Sarkar Abdullah, Brown Sherry-Ann
Cardio Oncology Section, Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic Florida, Weston, FL, United States.
Division of Cardiology, Department of Medicine, Rush University Medical Center, Chicago, IL, United States.
Front Cardiovasc Med. 2022 Nov 3;9:951551. doi: 10.3389/fcvm.2022.951551. eCollection 2022.
The rapid emergence of cardio-oncology has resulted in a rapid growth of cardio-oncology programs, dedicated professional societies sections and committees, and multiple collaborative networks that emerged to amplify the access to care in this new subspecialty. However, most existing data, position statements and guidelines are limited by the lack of availability of large clinical trials to support these recommendations. Furthermore, there are significant challenges regarding proper access to cardio-oncology care and treatment, particularly in marginalized and minority populations. The emergence and evolution of personalized medicine, artificial intelligence (AI), and machine learning in medicine and in cardio-oncology provides an opportunity for a more targeted, personalized approach to cardiovascular complications of cancer treatment. The proper implementation of these new modalities may facilitate a more equitable approach to adequate and universal access to cardio-oncology care, improve health related outcomes, and enable health care systems to eliminate the digital divide. This article reviews and analyzes the current status on these important issues.
心脏肿瘤学的迅速兴起导致了心脏肿瘤学项目、专门的专业协会部门和委员会以及多个协作网络的快速发展，这些协作网络的出现是为了扩大在这个新亚专业领域获得护理的机会。然而，大多数现有数据、立场声明和指南都因缺乏大型临床试验来支持这些建议而受到限制。此外，在获得适当的心脏肿瘤学护理和治疗方面存在重大挑战，特别是在边缘化和少数群体中。个性化医学、人工智能（AI）以及医学和心脏肿瘤学中的机器学习的出现和发展为癌症治疗心血管并发症提供了更具针对性、个性化的方法。正确实施这些新模式可能有助于采取更公平的方法，以实现充分和普遍获得心脏肿瘤学护理，改善与健康相关的结果，并使医疗保健系统消除数字鸿沟。本文对这些重要问题的现状进行了综述和分析。
