Abstract：Objective To create a new variable (time-varying glucose factor) to assess the long-term average glucose level through integrating multiple measuring data which contain the blood glucose and hemoglobin AlC. Methods Bayesian hierarchical latent variable model could make full use of the correlation between indicators. With the relative variation of each variable considered when generating aggregative indicator, in virtue of the information between individuals, it would give a stable estimation for individuals with fewer data. Results We estimated the time-varying glucose factor using the simulation data. The correlation coefficient between factor and average blood sugar was higher than the index between long-term blood sugar and average blood sugar (0.92 VS 0.58). Conclusion We successfully built a time-varying glucose factor with the blood glucose and hemoglobin AlC. And it could reflect the long-term blood sugar level well.
赵春华, 马庆华, 孙宏鹏. 血糖时变因子——评估长期平均血糖水平的新变量[J]. 中国医院统计, 2016, 23(6): 401-402.
Zhao Chunhua, Ma Qinghua, Sun Hongpeng. Time-varying glucose factor: A new variable assessing the long-term average glucose level. journal1, 2016, 23(6): 401-402.
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