Biological age for chronic kidney disease patients using index model

PeerJ

article

Shaiful Anuar Abu Bakar¹  Sharifah Nazatul Shima Syed Mohamed Shahruddin¹  Noriszura Ismail²  Wan Ahmad Hafiz Wan Adnan³ 

[1] Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya;Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia;Department of Medicine, Faculty of Medicine

关键词: Ageing;    Biological age;    Chronic kidney disease;    Illness severity;   

DOI  :  10.7717/peerj.13694

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

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.

【 授权许可】

CC BY