Modeling continuous glucose monitoring (CGM) data during sleep
Modeling continuous glucose monitoring (CGM) data during sleep
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DOI：
10.1093/biostatistics/kxaa023
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发表时间：
2022-01-01
期刊：
影响因子：
2.1
通讯作者：
Crainiceanu, Ciprian
中科院分区：
文献类型：
--
作者：
Gaynanova, Irina;Punjabi, Naresh;Crainiceanu, Ciprian
我们引入了一个多水平功能Beta模型来量化由连续血糖监测仪在研究参与者中测量的多天2型糖尿病患者的血糖水平。该模型估计受试者特定的边际分位数，量化受试者内部和受试者之间的可变性，并根据活动图估计的睡眠开始时间产生作为时间函数的血糖动态参数。通过模拟和研究估计的模型参数与评估糖尿病患者血糖控制的金标准--血红蛋白A1c之间的关联，结果得到了验证。
We introduce a multilevel functional Beta model to quantify the blood glucose levels measured by continuous glucose monitors for multiple days in study participants with type 2 diabetes mellitus. The model estimates the subject-specific marginal quantiles, quantifies the within- and between-subject variability, and produces interpretable parameters of blood glucose dynamics as a function of time from the actigraphy-estimated sleep onset. Results are validated via simulations and by studying the association between the estimated model parameters and hemoglobin A1c, the gold standard for assessing glucose control in diabetes.