Corrected vascular biological age using relative individual risk difference detected non-healthy individuals comparably to the Klemera-Doubal method and eliminated age delta correlation bias.
Does incorporating relative individual risk difference (RIRD) improve the prediction of vascular biological age compared to uncorrected models?
Incorporating individual aging heterogeneity (RIRD) is essential for constructing accurate biological age prediction models using supervised AI algorithms.
Due to the lack of a gold standard for biological age (BA), existing studies usually adopt chronological age (CA) as the training label when constructing BA prediction models using supervised artificial intelligence algorithms. However, CA cannot reflect individual differences in aging, leading to the frequently observed age delta correlation (ADC) phenomenon. This work proposes a new method for predicting vascular biological age using arteriosclerosis detection data. A novel index, relative individual risk difference (RIRD), is introduced to quantify individual differences in aging. Based on RIRD, an approximate absolute health group is selected from the healthy population. The health group is used to establish a supervised regression model for vascular biological age prediction, while the approximate absolute health group is further employed to obtain a corrected vascular biological age. RIRD is defined as the difference between an individual's vascular biological age and the mean vascular biological age of the health group. Compared with the widely used Klemera-Doubal method (KDM), the corrected vascular biological age shows comparable ability in detecting non-healthy individuals, while outperforming the uncorrected vascular biological age. Moreover, vascular biological age without considering RIRD exhibits a significant ADC phenomenon, whereas both the corrected vascular biological age and KDM effectively eliminate this bias. These results indicate that CA and individual differences in aging are two indispensable components of BA. Therefore, incorporating individual aging heterogeneity is essential when constructing BA prediction models using supervised artificial intelligence algorithms.
Tang et al. (Thu,) conducted a other in Vascular biological age. Corrected vascular biological age using relative individual risk difference (RIRD) vs. Klemera-Doubal method (KDM) and uncorrected vascular biological age was evaluated on Ability in detecting non-healthy individuals and elimination of age delta correlation (ADC) bias. Corrected vascular biological age using relative individual risk difference detected non-healthy individuals comparably to the Klemera-Doubal method and eliminated age delta correlation bias.