Data mining: The association of 2-h postprandial plasma glucose with the fasting plasma glucose in a large Chinese population

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Abstract

Background: It is generally believed that the lower limit of postprandial plasma glucose is the same or higher than that of fasting plasma glucose (FPG). This study aimed to investigate the relationship between 2-h postprandial plasma glucose (2-hPG) and FPG. Insulin sensitivity and β-cell function were also evaluated. Methods: Analytical data from January 2013 to August 2018 included 10 465 participants’ 2-h OGTT results and 19 518 participants’ FPG and 2-hPG values after autonomous self-feeding. Participants were divided into two groups based on the relationship between FPG and 2-hPG (OGTT-A1/Postprandial-B1:FPG ' 2-hPG;OGTT-A2/Postprandial-B2:FPG ≤ 2-hPG).Insulin sensitivity was evaluated by Matsuda index and homeostasis model assessment of insulin resistance (HOMA-IR). β-cell function was estimated by homeostasis model assessment of β-cell function (HOMA-β) and early-phase insulin secretion index (ΔI30/ΔG30). Results: The ratio of OGTT-A1 and OGTT-A2 is 11.1%; the ratio of postprandial B1 and postprandial B2 is 13.7%. HOMA-IR and HOMA-β values were lower, while Matsuda index and ΔI30/ΔG30 values were higher in the non-diabetic OGTT-A1 group than those in the OGTT-A2 group. The value of Matsuda index in women was 0.368 times higher than that in men in group OGTT-A1. In group OGTT-A2, the values of HOMA-IR (0.346), HOMA-β (9.096), and ΔI30/ΔG30 (3.575) in women were lower, higher, and higher than those in men, respectively. Both HOMA-β and ΔI30/ΔG30 decreased with age in OGTT groups. Conclusion: It existed that FPG was '2-hPG, and this group had better insulin sensitive and β-cell function. The influence of age on insulin sensitivity and β-cell function was greater than that of gender.

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Sun, D., Li, D., Yu, S., Zhang, K., & Cheng, X. (2020). Data mining: The association of 2-h postprandial plasma glucose with the fasting plasma glucose in a large Chinese population. Journal of Clinical Laboratory Analysis, 34(9). https://doi.org/10.1002/jcla.23404

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