Biological age for chronic kidney disease patients using index model

PeerJ. 2022 Aug 1:10:e13694. doi: 10.7717/peerj.13694. eCollection 2022.

Abstract

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.

Keywords: Ageing; Biological age; Chronic kidney disease; Illness severity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aging
  • Biomarkers
  • Humans
  • Models, Biological
  • Physical Examination*
  • Renal Insufficiency, Chronic* / diagnosis

Substances

  • Biomarkers

Grants and funding

This research was funded by Universiti Teknologi MARA under Geran Penyelidikan Khas (600-RMC/GPK 5/3 (280/2020)). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.