Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Jul 15, 2023; 14(7): 1103-1111
Published online Jul 15, 2023. doi: 10.4239/wjd.v14.i7.1103
Correlation between glycated hemoglobin A1c, urinary microalbumin, urinary creatinine, β2 microglobulin, retinol binding protein and diabetic retinopathy
Jia-Jia Song, Xiao-Fang Han, Jian-Feng Chen, Ke-Mei Liu
Jia-Jia Song, Xiao-Fang Han, Jian-Feng Chen, Ke-Mei Liu, Department of Endocrinology, The Second People’s Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei 230011, Anhui Province, China
Author contributions: Song JJ contributed to the conceptualization, funding acquisition, resources, supervision, methodology, software, investigation, formal analysis, writing - original draft, visualization, writing, review and editing of the manuscript; Han XF contributed to the data curation, writing and original draft of the manuscript; Chen JF contributed to the visualization, investigation, resources, supervision of the study; Liu KM contributed to the software and validation of data.
Institutional review board statement: This study was approved by the Medical Ethics Committee of the Second People’s Hospital of Hefei (No. 2023014).
Informed consent statement: This study only used anonymous data in the system, and did not require informed consent according to institutional policy.
Conflict-of-interest statement: The authors declare no conflicts of interest for this article.
Data sharing statement: According to institutional policy, the third party has no access to obtain the data.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jia-Jia Song, MM, Associate Chief Physician, Department of Endocrinology, The Second People’s Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, No. 246 Heping Road, Yaohai District, Hefei 230011, Anhui Province, China. sjj1832613@126.com
Received: March 28, 2023
Peer-review started: March 28, 2023
First decision: April 10, 2023
Revised: April 23, 2023
Accepted: May 23, 2023
Article in press: May 23, 2023
Published online: July 15, 2023
Processing time: 106 Days and 22.5 Hours
Abstract
BACKGROUND

Retinopathy is the most common microvascular disease of type 2 diabetes, and seriously threatens the life, health and quality of life of patients. It is worth noting that the development of diabetic retinopathy (DR) can be hidden, with few symptoms. Therefore, the preliminary screening of diabetic patients should identify DR as soon as possible, delay disease progression, and play a vital role in its diagnosis and treatment.

AIM

To investigate the correlation between glycated hemoglobin A1c (HbA1c), urinary microalbumin (U-mALB), urinary creatinine (U-CR), mALB/U-CR ratio, β2 microglobulin (β2MG), retinol binding protein (RBP) and DR.

METHODS

A total of 180 patients with type 2 diabetes mellitus attending the Second People’s Hospital of Hefei from January 2022 to August 2022 were retrospectively enrolled by ophthalmologists. Based on whether they had combined retinopathy and its degree, 68 patients with diabetes mellitus without retinopathy (NDR) were assigned to the NDR group, 54 patients with non-proliferative DR (NPDR) to the NPDR group, and 58 patients with proliferative DR to the PDR group. General data, and HbA1c, mALB, β2MG, RBP, mALB/U-CR and U-CR results were collected from the patients and compared among the groups. Pearson's correlation method was used to analyze the correlation between HbA1c, mALB, β2MG, RBP, mALB/U-CR and U-CR indices, and multiple linear regression was applied to identify the risk factors for DR. Receiver operator characteristic (ROC) curves were also drawn.

RESULTS

The differences in age, gender, systolic and diastolic blood pressure between the groups were not statistically significantly (P > 0.05), but the difference in disease duration was statistically significant (P < 0.05). The differences in fasting blood glucose, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, and triglyceride between the groups were not statistically significant (P > 0.05). HbA1c in the PDR group was higher than that in the NPDR and NDR groups (P < 0.05). The levels of mALB, β2MG, RBP, mALB/U-CR and U-CR in the PDR group were higher than those in the NPDR and NDR groups (P < 0.05). Multiple linear regression analysis showed that disease duration, HbA1c, mALB, β2MG, RBP, mALB/U-CR and U-CR were risk factors for the development of DR. The ROC curve showed that the area under the curve (AUC) for the combination of indices (HbA1c + mALB + mALB/U-CR + U-CR + β2MG + RBP) was 0.958, with a sensitivity of 94.83% and specificity of 96.72%, which was higher than the AUC for single index prediction (P < 0.05).

CONCLUSION

HbA1c, mALB, mALB/U-CR, U-CR, β2MG and RBP can reflect the development of DR and are risk factors affecting PDR, and the combination of these six indices has predictive value for PDR.

Keywords: Diabetic retinopathy; β2 microglobulin; Retinol-binding protein; Urinary microalbumin; Urinary creatinine

Core Tip: Diabetes retinopathy (DR) is a common complication of diabetes, which can eventually lead to blindness in diabetic patients and seriously affect the quality of life of patients. The identification of risk factors for DR is significant for early intervention. Here we retrospectively analyzed 180 patients with type 2 diabetes mellitus to examine the correlation between glycated hemoglobin A1c, microalbumin (mALB), mALB/urinary creatinine (U-CR), U-CR, ββ2 microglobulin, retinol binding protein and DR in diabetic patients in order to provide a scientific basis and guidance for clinical application.