Kobelyatskaya Anastasia A, Guvatova Zulfiya G, Tkacheva Olga N, Isaev Fedor I, Kungurtseva Anastasiia L, Vitebskaya Alisa V, Kudryavtseva Anna V, Plokhova Ekaterina V, Machekhina Lubov V, Strazhesko Irina D, Moskalev Alexey A
Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation, Moscow 129226, Russia.
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia.
Aging Dis. 2024 Aug 22. doi: 10.14336/AD.2024.0615.
Biological age is a personalized measure of the health status of an organism, organ, or system, as opposed to simply accounting for chronological age. To date, there have been known attempts to create estimators of biological age based on various biomedical data. In this work, we focused on developing an approach for assessing heart biological age using echocardiographic data. The current study included echocardiographic data from more than 5,000 different cases. As a result, we created EchoAGE - neural network model to determine heart biological age, that was tested on echocardiographic data from patients with age-related diseases, patients with multimorbidity, children with progeria syndrome, and diachronic data series. The model estimates biological age with a Mean Absolute Error of approximately 3.5 years, an R-squared value of around 0.88, and a Spearman's rank correlation coefficient greater than 0.9 in men and women. EchoAGE uses indicators such as E/A ratio of maximum flow rates in the first and second phases, thicknesses of the interventricular septum and the posterior left ventricular wall, cardiac output, and relative wall thickness. In addition, we have applied an AI explanation algorithm to improve understanding of how the model performs an assessment.
生物学年龄是对生物体、器官或系统健康状况的一种个性化衡量，而非仅仅依据实际年龄。迄今为止，已有基于各种生物医学数据创建生物学年龄估计器的尝试。在这项工作中，我们专注于开发一种利用超声心动图数据评估心脏生物学年龄的方法。当前研究纳入了来自5000多个不同病例的超声心动图数据。结果，我们创建了EchoAGE——用于确定心脏生物学年龄的神经网络模型，该模型在患有与年龄相关疾病的患者、患有多种疾病的患者、患有早衰综合征的儿童的超声心动图数据以及历时数据系列上进行了测试。该模型估计生物学年龄时，男性和女性的平均绝对误差约为3.5岁，决定系数约为0.88，斯皮尔曼等级相关系数大于0.9。EchoAGE使用诸如第一和第二阶段最大流速的E/A比值、室间隔厚度和左心室后壁厚度、心输出量以及相对壁厚度等指标。此外，我们应用了一种人工智能解释算法，以增进对该模型如何进行评估的理解。
