Comparative Agreement Analysis of Differences in 1,5-Anhydroglucitol, Glycated Albumin, and Glycated Hemoglobin A1c Levels between Fasting and Postprandial States in Steamed Bread Meal Test.

Hang Su,Yufei Wang,Jian Zhou,Xiaojing Ma,Lu Dong,Yuqian Bao,Xingxing He,Weiping Jia,Lingwen Ying,Junling Tang

doi:10.1155/2017/5917293

Abstract

Background Our previous study indicated that serum 1,5-anhydroglucitol (1,5-AG) levels slightly increased after a glucose load; therefore, this study was conducted to explore short-term changes in 1,5-AG levels after a steamed bread meal test (SBMT) and compare the agreement of 1,5-AG, glycated albumin (GA), and glycated hemoglobin A1c (HbA1c) levels between fasting and postprandial states after an SBMT. Methods 104 participants were recruited and underwent a 100 g SBMT. Fasting, 30 min, and 120 min of 1,5-AG, GA, and HbA1c were measured. Results Levels of 1,5-AG slightly increased from 30 to 120 min after an SBMT (P < 0.01), and HbA1c and GA levels showed stability at 30 and 120 min. The Passing-Bablok regression linear equation showed that postprandial 1,5-AG, GA, and HbA1c levels were well fitted (all P > 0.05), and Bland-Altman difference plot showed that 100% of data points for HbA1c30 and HbA1c120 fell within the limits of agreement; 94.2%, 96.2%, 95.2%, and 95.2% of data points for 1,5-AG30, 1,5-AG120, GA30, and GA120 fell within the limits of agreement, respectively. Conclusion Agreement analyses indicated good stability of 1,5-AG, GA, and HbA1c levels after the SBMT. HbA1c had an optimal stability, which was superior to that of GA or 1,5-AG.

Highlights

Fasting blood measurements for the determination of biochemical parameters have long been the norm; a shift in this paradigm has increasingly evolved
Each participant underwent a 100 g steamed bread meal test (SBMT), and diabetes was diagnosed on the basis of the 1999 World Health Organization criteria [15]
No statistically significant differences existed in either glycated albumin (GA) or hemoglobin A1c (HbA1c) levels between 30 and 120 min in the SBMT, and these results were replicated when separately analyzed in patients with diabetes

Summary

Introduction

Fasting blood measurements for the determination of biochemical parameters have long been the norm; a shift in this paradigm has increasingly evolved. In a consensus statement issued in 2016, the European Atherosclerosis Society and European Federation of Clinical Chemistry and Laboratory Medicine recommended measurement of nonfasting lipid profile [1], and this has added “nonfasting” measurement of clinical monitoring indicators to the current research hotpot. Extrapolating this to glycemic parameters and assuming 3 meals per day are consumed on average, it can be inferred that the postprandial phase covers 60–70%. HbA1c had an optimal stability, which was superior to that of GA or 1,5-AG

Methods

Results

Conclusion