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http://ir.nhri.org.tw/handle/3990099045/14487
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| Title: | Development of a novel multi-dimensional measure of aging to predict mortality and morbidity in the prospective MJ cohort |
| Authors: | Wang, S;Wen, CP;Li, W;Li, S;Sun, M;Xu, A;Tsai, MK;Chu, DT;Tsai, SP;Tu, H;Wu, X |
| Contributors: | Institute of Population Health Sciences |
| Abstract: | BACKGROUND: Although biological aging has been proposed as a more accurate measure of aging, few biological aging measures have been developed for Asians, especially for young adults. METHODS: A total of 521,656 participants were enrolled in the MJ cohort (1996 -2011) and were followed until death, loss-to-follow-up, or Dec 31, 2011, whichever came first. We selected 14 clinical biomarkers including chronological age using random forest algorithm and developed a multi-dimensional aging measure (MDAge). Model performance was assessed by area under the curve (AUC) and internal calibration. We evaluated the associations of MDAge and residuals from regressing MDAge on chronological age (MDAgeAccel) with mortality and morbidity, and assessed the robustness of our findings. RESULTS: MDAge achieved an excellent AUC of 0.892 in predicting all-cause mortality (95% confidence interval [CI]: 0.889-0.894). Participants with higher MDAge at baseline were at a higher risk of death (per 5 years, HR=1.671, 95%CI: 1.662-1.680), and the association remained after controlling for other variables and in different subgroups. Furthermore, participants with higher MDAgeAccel were associated with shortened life expectancy. For instance, compared to men who were biologically younger (MDAgeAccel≤0) at baseline, men in the highest tertiles of MDAgeAccel had shortened life expectancy by 17.23 years. In addition, higher MDAgeAccel was associated with having chronic disease either cross-sectionally (per 1-SD, OR=1.564, 95%CI: 1.552-1.575) or longitudinally (per 1-SD, OR=1.218, 95% CI: 1.199-1.238). CONCLUSIONS: MDAge accurately predicted mortality and morbidity, which has great potential in the early identification of individuals at higher risk, and therefore promoting early intervention. |
| Date: | 2022-08-03 |
| Relation: | Journals of Gerontology. Series A, Biological Sciences and Medical Sciences. 2022 Aug 3;78(4):690-697. |
| Link to: | http://dx.doi.org/10.1093/gerona/glac161 |
| JIF/Ranking 2023: | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1079-5006&DestApp=IC2JCR |
| Cited Times(WOS): | https://www.webofscience.com/wos/woscc/full-record/WOS:000865236600001 |
| Cited Times(Scopus): | https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85151312553 |
| Appears in Collections: | [溫啟邦(2001-2010)] 期刊論文
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| PUB35921680.pdf | | 950Kb | Adobe PDF | 154 | View/Open |
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