Postload Glycated Albumin as an Alternate Measure for Diabetes Screening in a Chinese Population.

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

doi:10.1155/2018/7932528

Abstract

In previous epidemiological screening in China, glycated albumin (GA) was mostly detected during the fasting state. This strict restriction causes some problems with diabetes screening. It is unclear if GA could help improve the efficiency of screening for diabetes for subjects who are not in the fasting state. The present study analyzed the differences between fasting and postload (30, 60, 120, and 180 min) GA levels. A total of 691 participants were enrolled in the present study. The Bland-Altman difference plots revealed that 95.4, 94.8, 93.6, and 93.9% of data points were within the limits of agreement for each time point. The receiver operating characteristic curve showed that the areas under the curve (AUC) for baseline GA and postload GA for every time point were 0.822 (95% CI 0.791–0.849), 0.821 (95% CI 0.790–0.848), 0.833 (95% CI 0.803–0.860), 0.840 (95% CI 0.811–0.867), and 0.840 (95% CI 0.810–0.867), with sensitivities of 67.5, 68.1, 69.3, 71.6, and 69.3%, respectively. There was no difference between the baseline and postload GA levels in either AUC or sensitivity (all p > 0.05). In conclusion, postload serum GA levels were in good agreement with those at baseline, and thus, it may be reasonable to employ nonfasting measurements of GA levels for diabetes screening.

Highlights

For clinical monitoring indicators, the value of a nonfasting measurement is an important determinant of its extended application in the clinical setting
The obtained measurements demonstrated that glycated albumin (GA) levels at 30 and 60 min postload were slightly elevated compared with the baseline levels in both the non-diabetes mellitus (DM) and DM groups
Spearman correlation analysis revealed that baseline GA levels were positively associated with postload GA levels at every time point for all participants (r = 0 977 to 0.981, all p < 0 01)

Summary

Introduction

The value of a nonfasting measurement is an important determinant of its extended application in the clinical setting. The levels of glycated hemoglobin A1c (HbA1c), a standard blood glucose monitoring indicator, have been shown to remain stable after a glucose load in a previous study [2]. As an emerging indicator, glycated albumin (GA) has been proposed to be an effective supplement to HbA1c for blood glucose monitoring. In previous epidemiological screening in China, GA was mostly detected during the fasting state. This strict restriction causes some problems with diabetes screening. It is unclear if GA could help improve the efficiency of screening for diabetes for subjects who are not in the fasting state

Objectives

Methods

Results

Discussion

Conclusion