AI-Based Hematological Age Predictors and the Association Between Biological Age Acceleration and Type 2 Diabetes Mellitus—Chongqing Municipality,China,2015–2021  

作　　者：Zhe Yin Yingnan Song Junhui Zhang Qiaoyun Dai Xinyuan Zhang Xueying Yang Na Nie Cuixia Chen Zongfu Cao Xu Ma 

机构地区：[1]National Human Genetic Resources Center,National Research Institute for Family Planning,Beijing,China [2]National Human Genetic Resources Sharing Service Platform,National Research Institute for Family Planning,Beijing,China [3]Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing,China [4]The First Affiliated Hospital of Chongqing Medical University,Chongqing,China

出　　处：《China CDC weekly》2024年第45期1188-1193,I0002-I0005,共10页中国疾病预防控制中心周报（英文）

基　　金：Supported by the National Human Genetic Resources Sharing Service Platform(Grant No.2005DKA21300).

摘　　要：Introduction:Biological age(BA)can represent the actual state of human aging more accurately than chronological age(CA).Methods:Using hematological data from 112,925 participants in southwestern China,collected between 2015 and 2021,this study constructed BA predictors using 7 machine learning(ML)methods(tailored separately for male and female populations).This study then analyzed the association between BA acceleration and type 2 diabetes mellitus(T2DM)within this data using logistic regression.Additionally,it examined the impact of glycemic control on BA in individuals with diabetes.Results:Among all ML models,deep neural networks(DNN)delivered the best performance in male[mean absolute error(MAE)=6.89,r=0.75]and female subsets(MAE=6.86,r=0.74).BA acceleration showed positive correlations with T2DM in both male[odds ratio(OR):2.22,95%confidence interval(CI):1.77–2.77]and female subsets(OR:3.10,95%CI:2.16–4.46),while BA deceleration showed negative correlations in both male(OR:0.32,95%CI:0.27–0.39)and female subsets(OR:0.42,95%CI:0.33–0.53).Individuals with diabetes with normal fasting glucose had significantly lower BAs than those with impaired fasting glucose in all CA groups except for patients older than 80.Discussion:Artificial intelligence(AI)-based hematological BA predictors show promise as advanced tools for assessing aging in epidemiological studies.Implementing AI-based BA predictors in public health initiatives could facilitate proactive aging management and disease prevention.

关 键 词：T2DM IMPAIRED CHONGQING 

分 类 号：R587.2[医药卫生—内分泌]