Retrospective Study
Copyright ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Feb 15, 2021; 12(2): 149-157
Published online Feb 15, 2021. doi: 10.4239/wjd.v12.i2.149
Use of glycated albumin for the identification of diabetes in subjects from northeast China
Guo-Yan Li, Hao-Yu Li, Qiang Li
Guo-Yan Li, Qiang Li, Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, Harbin 150080, Heilongjiang Province, China
Hao-Yu Li, Faculty of Population Health Sciences, University College London, London WC1E 6BT, United Kingdom
Author contributions: Li GY designed the study, collected the routine blood samples, contributed to the study design, and wrote the manuscript; Li HY analyzed the data; Li Q made critical revisions to the article for important intellectual content; All authors discussed the results and approved the final version of the manuscript.
Supported by Youth Fund Project of the Second Affiliated Hospital of Harbin Medical University, No. QN2010-20.
Institutional review board statement: The study was reviewed and approved by the Second Affiliated Hospital of Harbin Medical University Institutional Review Board (Approval No. KY2019-020).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at qiangli1964@126.com.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Qiang Li, PhD, Professor, Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang District, Harbin 150080, Heilongjiang Province, China. qiangli1964@126.com
Received: November 19, 2020
Peer-review started: November 19, 2020
First decision: November 30, 2020
Revised: December 10, 2020
Accepted: December 23, 2020
Article in press: December 23, 2020
Published online: February 15, 2021
Core Tip

Core Tip: Our study supports the use of glycated albumin (GA) as a biomarker for the diagnosis of diabetes. The GA cutoff for the diagnosis of diabetes mellitus was 15.15% from the receiver operating characteristic (ROC) curve. ROC analysis demonstrated that GA was an efficient marker for detecting diabetes, with an area under the ROC curve of 90.3%.