Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.
Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
PeerJ. 2022 Aug 1;10:e13694. doi: 10.7717/peerj.13694. eCollection 2022.
The estimation of biological age (BA) is an important asymptomatic measure that can be used to understand the physical changes and the aging process of a living being. Factors that contribute towards profiling the human biological age can be diverse. Therefore, this study focuses on developing a BA model for patients with Chronic Kidney Disease (CKD). The procedure commences with the selection of significant biomarkers using a correlation test. Appropriate weighting is then assigned to each selected biomarker using the indexing method to produce a BA index. The BA index is matched to the age variation within the sample to acquire additional terms for the chronological age leading ultimately to the estimated BA. From a sample of 190 patients (133 trained data and 57 testing data) obtained from the University of Malaya Medical Centre (UMMC), Malaysia, the intensity of the BA is found to be between three to nine years from the chronological age. Visual observations further validate the high similarities between the training and testing data sets.
生物年龄（BA）的估计是一种重要的无症状测量方法，可用于了解生物的物理变化和衰老过程。影响生物年龄特征的因素可能多种多样。因此，本研究专注于为慢性肾脏病（CKD）患者开发 BA 模型。该过程首先使用相关测试选择重要的生物标志物。然后使用索引方法为每个选定的生物标志物分配适当的权重，以生成 BA 指数。将 BA 指数与样本中的年龄变化进行匹配，以获得与年龄相关的附加项，从而最终估算出 BA。从马来西亚马来亚大学医学中心（UMMC）获得的 190 名患者（133 名训练数据和 57 名测试数据）的样本中发现，BA 的强度比实际年龄大 3 至 9 岁。直观观察进一步验证了训练数据和测试数据集之间的高度相似性。
