Grupo MODES, Departamento de Matemáticas, CITIC, Universidade da Coruña, A Coruña, 15071, Spain.
Servicio de Medicina Interna, Complexo Hospitalario Universitario de A Coruña, A Coruña, 15006, Spain.
Sci Data. 2023 Aug 8;10(1):527. doi: 10.1038/s41597-023-02419-1.
This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with potentially cardiotoxic oncologic therapies. These treatments can cause cardiovascular adverse events, including cardiac systolic dysfunction, the development of which has important clinical and prognostic implications. The availability of good predictors may enable early detection of these cardiac problems. Variables such as age, weight and height are available for each patient, as well as some measures obtained from echocardiography, a technique used prior and during the treatment to check the structure and function of the heart. Among them, there is a functional variable that measures the myocardial velocity during the cardiac cycle. For patients that experienced cancer therapy-related cardiac dysfunction during the treatment period, time until its appearance is known. This dataset aims to enable the scientific community in conducting new research on this cardiovascular side effect.
本数据集是阿科鲁尼亚大学和阿科鲁尼亚大学医院合作的成果。它包含了 531 名被诊断患有 HER2+乳腺癌的女性的信息，这些女性接受了可能具有心脏毒性的肿瘤治疗。这些治疗可能会导致心血管不良事件，包括心脏收缩功能障碍，其发展具有重要的临床和预后意义。拥有良好的预测因子可能能够早期发现这些心脏问题。每个患者的年龄、体重和身高等变量以及一些从超声心动图中获得的测量值都可以利用，该技术在治疗之前和治疗期间用于检查心脏的结构和功能。其中，有一个功能变量可以测量心脏周期中心肌速度。对于在治疗期间经历癌症治疗相关心脏功能障碍的患者，已知其出现的时间。本数据集旨在使科学界能够在这一心血管副作用方面开展新的研究。
